Institutional Flow MatrixInstitutional Flow Matrix is an open-source market-analysis framework designed to organize trend direction, confirmed market structure, institutional price zones, momentum, and location within a dealing range into one readable chart.
The purpose of this indicator is not to predict every price movement or generate constant entries. It is designed to answer a more practical sequence of questions:
1. What is the current directional bias?
2. Is market structure supporting that direction?
3. Is price trading from a meaningful location?
4. Has price returned to an active institutional zone?
5. Is momentum aligned with the proposed setup?
The script combines these questions into a structured workflow while keeping the default chart intentionally clean.
WHY THIS INDICATOR WAS BUILT
Many market-structure indicators display every swing, imbalance, liquidity level, zone, and signal at the same time. While that information can be useful for detailed analysis, it can also make the chart difficult to interpret during live trading.
Institutional Flow Matrix was built around a visual hierarchy:
* Directional bias is the primary layer.
* Active Order Blocks are the principal reaction zones.
* Momentum is a confirmation layer.
* Premium and Discount provide market location.
* Fair Value Gaps, liquidity pools, sweeps, and higher-timeframe levels are optional study tools.
The default Balanced preset focuses on the information most relevant to a directional pullback setup. Minimal mode removes most supporting visuals for live execution. Full mode reveals the additional market-structure tools for deeper analysis.
WHAT MAKES THE IMPLEMENTATION DIFFERENT
The individual concepts used by this script, including pivots, moving averages, ATR trend filters, Order Blocks, Fair Value Gaps, and Premium/Discount ranges, are established forms of technical analysis.
The original contribution of Institutional Flow Matrix is how those components are synchronized and managed as one decision framework.
Key design elements include:
* Confirmed structure events rather than unconfirmed swing guesses.
* A persistent directional state requiring agreement between structure, EMA alignment, and an ATR-based trend filter.
* Order Block freshness validation before a zone is accepted.
* Separate visual duration and analytical lifetime controls for zones.
* Automatic mitigation and expiration of old zones.
* Limited drawing-object counts to prevent long-term chart clutter.
* A weighted confluence model centered on trend, structure, zone interaction, market location, and momentum.
* Three visual presets that change the information hierarchy without changing the underlying calculations.
* Confirmed-bar signals and event-based alerts.
This is not intended to be a collection of unrelated indicators. Each module has a defined role in the same setup process.
DIRECTIONAL BIAS
The chart background represents the script's confirmed directional state.
A bullish state requires agreement between:
* Bullish market structure.
* Fast EMA positioning above the slow EMA.
* Bullish ATR trend conditions.
A bearish state uses the opposite conditions.
The background changes only after the required conditions are confirmed. A larger BUY or SELL label marks a confirmed change in this directional state.
These shift labels are different from the smaller confluence signals. A shift label identifies a change in directional bias. A confluence signal requires additional location, zone, and momentum conditions.
MARKET STRUCTURE
Confirmed pivot highs and lows form the structure engine.
The script tracks:
* Higher Highs
* Higher Lows
* Lower Highs
* Lower Lows
* Breaks of Structure
* Changes of Character
A bullish break occurs when a confirmed bar closes above the latest unbroken confirmed swing high. A bearish break occurs when a confirmed bar closes below the latest unbroken confirmed swing low.
Swing labels are retrospective by design. A pivot can only be confirmed after the selected number of right-side bars has closed. Once confirmed, its label is placed on the candle where the swing originally occurred. The label was not known on that earlier candle.
ORDER BLOCKS
Order Blocks are the primary reaction zones in the indicator.
After a confirmed structure break or qualifying displacement event, the script searches backward for an opposing candle. A candidate candle can be filtered by:
* Candle range relative to ATR.
* Body size as a percentage of candle range.
* Optional volume expansion.
* Wick-based or body-based zone construction.
Before accepting the candidate, the script checks whether price has already invalidated it. This prevents many stale zones from being created after the fact.
Active Order Blocks can be invalidated by either:
* A close beyond the opposite edge.
* A wick beyond the opposite edge.
The selected mitigation method is used consistently during both zone creation and live zone management.
Order Blocks have separate controls for visual extension and analytical age. This allows users to control how long a box remains visible independently from how long it remains eligible for signal calculations.
PREMIUM, DISCOUNT, AND EQUILIBRIUM
The script creates a rolling dealing range from the highest high and lowest low over the selected lookback.
The range is divided into:
* Premium: the upper portion of the range.
* Discount: the lower portion of the range.
* Equilibrium: the 50% midpoint.
Premium and Discount do not generate trades by themselves. They provide location.
In general:
* Bullish setups receive stronger contextual support in Discount.
* Bearish setups receive stronger contextual support in Premium.
* Equilibrium represents the midpoint of the current rolling range.
Because the range is rolling, its boundaries can change when a new lookback high or low is formed.
MOMENTUM RIBBON
The momentum module uses three exponential moving averages and an ATR-normalized difference between the fast and slow averages.
Bullish momentum requires:
* Fast EMA above the slow EMA.
* Positive normalized momentum.
* Momentum above its signal average.
Bearish momentum uses the opposite conditions.
Diamond markers identify confirmed momentum crossings. The ribbon is intended as confirmation rather than a standalone entry system.
CONFLUENCE SIGNALS
The script calculates a 0-100 Confluence Score from five conditions:
* Directional bias: 25 points.
* Market structure: 15 points.
* Momentum alignment: 15 points.
* Active Order Block interaction: 25 points.
* Premium or Discount location: 20 points.
The score measures condition alignment. It is not a probability, win rate, accuracy estimate, or forecast of future performance.
By default, BUY and SELL signals require:
* Confirmed directional bias.
* Matching confirmed structure.
* Interaction with an active Order Block.
* Correct Premium or Discount location.
* Matching momentum.
* Minimum Confluence Score.
* Completion of the selected signal cooldown.
Signals are displayed only when the complete condition changes from false to true. This prevents repeated labels while the same setup remains active.
OPTIONAL ADVANCED MODULES
Full mode provides additional analytical tools:
* Fair Value Gaps with ATR size filtering.
* Equal-high and equal-low liquidity pools.
* Confirmed liquidity sweeps.
* BOS and CHoCH labels.
* HH, HL, LH, and LL labels.
* Previous day, week, and month highs and lows.
* Optional momentum candle coloring.
These features are disabled or hidden from the default Balanced view to preserve readability.
VISUAL PRESETS
Minimal:
Designed for traders who want the least chart interference. It suppresses the background, ribbon, Premium/Discount display, trailing line, dashboard, and advanced structure annotations.
Balanced:
The default view. It emphasizes directional background, active Order Blocks, Premium/Discount context, momentum ribbon, diamonds, signals, and the dashboard.
Full:
Designed for detailed study. It adds structure labels, BOS/CHoCH events, Fair Value Gaps, liquidity tools, higher-timeframe levels, and optional candle coloring.
FOR NEWER TRADERS
A simple workflow is:
1. Start with the Balanced preset.
2. Use the background to identify the current directional bias.
3. Wait for price to return to an Order Block matching that bias.
4. Check whether price is in Discount for a bullish setup or Premium for a bearish setup.
5. Confirm that the momentum ribbon agrees.
6. Treat the signal as a point for further analysis, not an automatic order.
The equilibrium line can be used as a reference for the midpoint of the current dealing range. It is not automatically an entry or exit instruction.
FOR ADVANCED TRADERS
Experienced users can customize:
* Pivot confirmation sensitivity.
* ATR and EMA trend parameters.
* Wick-based versus body-based Order Blocks.
* Displacement-created zones.
* Candle body, range, and volume filters.
* Close-based versus wick-based mitigation.
* Zone visual duration and analytical age.
* Premium and Discount percentages.
* Fair Value Gap size.
* Liquidity sensitivity.
* Momentum lengths.
* Individual signal requirements.
* Minimum confluence threshold.
* Signal cooldown.
* Higher-timeframe reference levels.
Advanced users can also disable individual hard requirements and use the Confluence Score as a more flexible filtering system.
ALERTS
Alert conditions are included for:
* Break of Structure.
* Change of Character.
* New Order Block.
* BUY signal.
* SELL signal.
* Bias-aligned Order Block entry.
* Trend and momentum confluence.
* Liquidity sweep.
Alerts should be created using Once Per Bar Close when confirmed signals are required.
NON-REPAINTING AND TIMING
Structure breaks, directional shifts, zone creation, zone mitigation, momentum events, and confluence signals are evaluated on confirmed bars.
Pivot-based swing labels require future bars to confirm that a swing occurred. After confirmation, the label is displayed on the original pivot candle. This is delayed confirmation with retrospective placement, not advance knowledge of the swing.
Previous-period levels use completed higher-timeframe data.
LIMITATIONS
* This indicator does not predict future prices.
* It does not calculate position size, stop loss, or account risk.
* It is not a complete automated trading system.
* Signals can fail during volatile, illiquid, or range-bound conditions.
* Rolling Premium, Discount, and equilibrium levels can move when the lookback range changes.
* Confirmed pivots introduce an intentional delay.
* Order Block definitions vary among trading methodologies; this script uses the documented candle-search and filtering rules described above.
* Volume behavior differs across asset classes and data providers.
* Parameter settings that work on one symbol or timeframe may not be appropriate for another.
Suggested starting points are the 15-minute and 1-hour charts for intraday analysis and the 4-hour chart for broader swing structure. Users should test settings on their own symbols and trading sessions.
OPEN-SOURCE PURPOSE
The script is published open-source so traders can inspect the calculations, understand why signals occur, verify the confirmed-bar methodology, and adapt the framework for their own research.
The goal is to provide a readable and transparent market-structure workflow rather than a black-box prediction tool.
DISCLAIMER
This indicator is provided for educational and analytical purposes only. It is not financial advice and does not guarantee profitable results. Historical chart behavior does not ensure future performance. Users are responsible for their own analysis, testing, risk management, and trading decisions.
Indicator
Liquidity Sweep & Stop-Hunt Signals [ForexCracked]🔵 OVERVIEW
Liquidity Sweep & Stop-Hunt Signals marks the price levels where stop orders pile up, detects the moment price runs those stops and reverses, and prints a BUY or SELL with a ready-made entry, stop and target. It is a focused reversal tool built around one of the most reliable behaviours in the market: the failed breakout.
Every signal confirms on candle close, so nothing repaints after the bar is done. A live dashboard shows the higher-timeframe bias, the last signal, and the current trade plan.
🔵 WHAT A LIQUIDITY SWEEP ACTUALLY IS
Stops cluster in obvious places: just above a recent swing high (buy-side liquidity) and just below a recent swing low (sell-side liquidity). Price is often drawn to those pools because that is where resting orders sit.
A sweep, or stop hunt, happens when price spikes through one of those swings, triggers the stops, and then closes back inside the range on the same candle. Breakout traders get trapped, and the reversal that follows is the trade this tool is built to catch.
🔵 HOW IT FINDS SIGNALS
• It tracks recent swing highs and lows as liquidity lines and keeps them on the chart until they are taken
• A SELL fires when a candle's high runs above a tracked swing high but its close falls back below it (buy-side liquidity swept, then rejected)
• A BUY fires when a candle's low runs below a tracked swing low but its close climbs back above it (sell-side liquidity swept, then rejected)
• An optional rejection-body filter ignores weak wicks and only accepts sweeps that close with a real body back inside the level
• An optional higher-timeframe EMA bias lets you take only trend-aligned sweeps, only counter-trend sweeps, or all of them
🔵 THE TRADE PLAN IT DRAWS
On every signal the tool draws three lines and labels them:
• Entry at the close of the sweep candle
• Stop just beyond the swept wick, with an ATR buffer so normal noise does not clip it
• Target at your chosen reward-to-risk multiple of that stop distance
You get a complete plan on the chart the moment a signal prints, with the exact prices in the label.
🔵 SETTINGS
• Swing Strength: how major a swing must be to count as liquidity (higher = fewer, cleaner levels)
• Levels Tracked: how many liquidity lines to keep per side
• Trend Filter: All sweeps, HTF trend only, or Counter-HTF only
• HTF Bias Timeframe and EMA Length: the higher-timeframe trend reference
• Require Rejection Body and Min Rejection Body (x ATR): quality filter for the sweep candle
• Stop Buffer (x ATR) and Reward : Risk: the trade-plan geometry
🔵 HOW TO USE
• Start on H1 or H4 for forex, gold and indices, with the HTF bias set one or two steps higher
• Treat a swept level plus a strong rejection close as the signal, not the wick alone
• Use Counter-HTF only when you want pure reversal setups at range extremes, and HTF trend only when you want continuation entries after a stop-run against the trend
• Size every trade off the drawn stop distance at a fixed account risk
• Raise Swing Strength on noisy pairs so only the meaningful liquidity gets tracked
🔵 BEST AND WEAKEST CONDITIONS
✅ Strongest at range extremes, session highs and lows, and around prior day or week highs and lows, where liquidity genuinely rests
⚠️ Weakest in fast one-way trends with no pullbacks, and on very low timeframes where every wick looks like a sweep
⚠️ DISCLAIMER
This tool identifies liquidity sweeps and marks reversal setups. It does not predict price. A swept level is a probability, not a certainty, and sweeps can extend further before reversing. Results depend on market conditions, settings, and your own execution and risk management. Shared for educational and research purposes; not financial advice. Indicator
Mini SMC Screener I EonMetrics Mini SMC Screener
Mini SMC Screener watches up to 5 symbols at once and answers a question no single-chart indicator can: WHERE is something happening right now. Instead of flipping through charts, you read one small table: market structure direction and the freshest Fair Value Gap event for every symbol on your list.
HOW IT WORKS
The script scans each symbol on the timeframe you choose (empty = chart timeframe) and reports two independent readings per symbol.
🔵Structure — a strict MSS/BOS engine. Swing points are confirmed pivots (a candle with N higher/lower candles on both sides). A close above the last confirmed swing high in a downtrend is a Market Structure Shift to bullish; a close below the protected swing low in an uptrend shifts structure bearish. Between shifts, breaks of structure in trend direction keep updating the protected level. The column shows the current state: ▲ Bull or ▼ Bear.
🔵FVG — a three-candle imbalance tracker. A Fair Value Gap forms when the first and third candle of a three-candle sequence do not overlap (the low of the newest candle stays above the high of the candle two bars back, or the mirror for bearish). The gap between them is unfilled territory. The engine registers a gap only when its height clears an ATR-based minimum size, keeps it active until price trades through its far edge (a full fill), and reports the freshest of two events:
- New — a qualifying gap just formed (displacement is happening now)
- Retest — price traded back INTO a still-open gap (the return many traders wait for)
Each event ages out of the table after a configurable number of bars, so the column only ever shows fresh information — an FVG event from 200 bars ago is not a setup and is not displayed.
Why the two are combined in one script: they answer the two halves of the same scanning question. Structure tells you the directional context of a symbol; the FVG event tells you that something tradeable is happening there right now. One without the other is either context with no trigger, or a trigger with no context — a scanner needs both on one row to be useful.
KEY FEATURES
- 5 symbol slots, each with its own on/off toggle — defaults cover crypto, forex, gold and an index; replace them with your own watchlist
- Structure column: live Bullish / Bearish read from confirmed swing pivots (non-repainting state machine — the state changes only on a confirmed close through a level)
- FVG column: New / Retest events with age in bars ("now", "3b", …); the cell background lights up when the event happened on the current bar
- ATR size filter — noise-sized gaps never make it into the table
- Freshness windows for FVG events, so stale signals disappear on their own
- Alerts: per-symbol alert() messages (structure flips, new FVG, FVG retest) plus two named conditions — "Structure flip (any symbol)" and "FVG event (any symbol)"
- Scan timeframe input — scan a higher timeframe than your chart; a warning shows if you accidentally scan below the chart timeframe (unreliable by design on PulseWire)
- Table position and text size inputs
HOW TO USE
1. Add the indicator to any chart and open Settings → Symbols. Replace the default tickers with the instruments you actually follow.
2. Pick a Scan Timeframe — the chart timeframe or higher. A common setup: chart on M15, scan on M15 or H1.
3. Read rows left to right: Structure gives you the direction bias, FVG tells you whether a fresh imbalance or a retest is in play on that symbol.
4. The combination many traders look for: structure and a fresh FVG event pointing the SAME way — e.g. ▲ Bull structure plus a bullish FVG retest.
5. Set an alert with "Any alert() function call" to get the detailed per-symbol messages without watching the table.
SETTINGS
- Scan: scan timeframe
- Symbols: 5 slots with toggles
- Structure: pivot strength (candles each side to confirm a swing)
- Fair Value Gaps: minimum gap size (× ATR), event freshness (bars)
- Alerts: master toggle
- Table: position, text size, bullish/bearish colors
A note on how the scan works under the hood: each symbol is evaluated in its own sandboxed context via request.security — the full engine state (structure machine, active gap list) is kept separately per symbol, and signals commit on bar close. Disabled slots still consume their data request (a PulseWire compile-time requirement); the toggle hides the row.
This tool reports structure state and imbalance events. It does not generate buy/sell signals, targets or stop levels — what you do with a reading is your decision. It is not financial advice; always do your own analysis and manage your own risk.
Part of the EonMetrics toolset.
Indicator
Liquidity Radar Engine [MarkitTick]💡 The financial markets operate on a continuous search for liquidity, moving dynamically from areas of consolidation to zones of unmitigated resting orders. This technical evaluation tool is engineered to objectively map these critical liquidity thresholds and provide a comprehensive framework for identifying high-probability market reversals and continuation phases. By tracking the exact interaction between historical pivot structures and real-time volume dynamics, it offers a highly systemic, algorithmic approach to charting price action.
✨ Originality and Utility
● A Synergistic Approach to Market Dynamics
Standard technical tools typically evaluate a single dimension of market data, such as momentum or trend direction, which frequently leads to fragmented analysis and false signals. This script stands out by synthesizing pure price structure, volume delta approximation, and multi-timeframe consensus into a unified visual environment. It removes the guesswork from order block and liquidity trading by mathematically defining structural shifts.
• Justification of the Integrated Logic
This tool is a deliberate fusion of price action concepts and mathematical volume filtering. Relying strictly on a breakout of a previous day's high or low can be highly susceptible to false moves and liquidity traps. By incorporating a relative volume (RVOL) filter and a proprietary candle-based delta estimation, the tool validates structural shifts with quantifiable market participation. Additionally, the inclusion of momentum divergence protocols ensures that price action is aligned with the anticipated structural pivot, filtering out low-probability setups in exhausted trends.
🔬 Methodology and Concepts
● Core Analytical Framework
The script operates by mapping significant price extremes across varying temporal horizons and evaluating the market's precise reaction when these zones are breached.
• Liquidity Sweep Detection
The algorithm constantly monitors the Highs and Lows of the Previous Day, Week, and Month. When current price action breaches one of these levels but fails to sustain the breakout—closing back inside the defined range—a sweep zone is generated. This defines a failed auction mechanism where stops may have been triggered without genuine directional follow-through from larger market participants.
• Equal Highs and Lows (EQH/EQL)
To identify resting liquidity pools, the script evaluates historical pivot points within an adjustable lookback window. Using the Average True Range (ATR) as a dynamic tolerance threshold, it mathematically defines whether two separate swing points are functionally "equal," marking them as magnetic targets for future price action.
• Structural Shifts and Displacement
Once a sweep occurs, the engine scans for a localized Change in State of Delivery (CISD). A valid shift requires displacement, which is measured by comparing the breakout candle's body size against a moving average of recent candle bodies, or by the immediate formation of a Fair Value Gap (FVG).
• Multi-Factor Validation
Signals are not generated strictly on price structure. They must pass a rigorous matrix of internal filters:
Relative Volume (RVOL): Requires the sweep or shift to occur with volume significantly exceeding the recent moving average.
Cumulative Volume Delta (CVD): Approximates buying and selling pressure within the candle spread to confirm directional momentum.
Trend Alignment: Evaluates the current price against a long-term Exponential Moving Average (EMA).
Volatility Squeeze Avoidance: Uses ATR ratios to actively block signals in exceptionally low-volatility environments.
Currency Correlation: Compares the traded pair against a reference index to ensure macroeconomic alignment.
News Blackout: Blocks all signals during user-defined, high-impact news windows to protect against erratic slippage.
🎨 Visual Guide
● Chart Elements and Topography
The visual interface is meticulously designed to present complex, multi-dimensional data without obfuscating the primary candlestick action.
• Historical Liquidity Levels
PDH/PDL Lines: Displayed as subtle, translucent lines indicating the Previous Day's High and Low.
PWH/PWL Lines: Denoting the Previous Week's extremes in distinct, moderately visible hues.
PMH/PML Lines: Marking the Previous Month's extremes for macro higher-timeframe context.
Equilibrium Line: A distinct midline drawn between the daily extremes to gauge intraday premium and discount pricing.
• Structural Zones and Markers
Sweep Zones: Highlighted boxes marking the exact area of a failed breakout. Buy-side sweeps appear in a muted green-toned box, while sell-side sweeps are marked in a red-toned box. These zones feature active aging, gently fading as time progresses.
FVG Clouds: Displayed as gold or yellow background areas denoting supply/demand imbalances.
EQH/EQL Markers: Small textual annotations above or below the price, bounded by a semi-transparent box, indicating concentrated liquidity pools.
• Execution and Management Visuals
Signal Labels: Distinct text markers indicating validated Buy or Sell conditions upon bar close.
Position Boxes: When a signal is active, a structured box appears showing the Entry level (dashed neutral line), Stop Loss (dashed red line), and up to three Take Profit targets (dashed teal lines).
Heatmap Candles: The main chart candles are dynamically colored based on the dominant daily bias or RSI momentum.
• The Multi-Timeframe (MTF) Dashboard
A tabular data panel positioned on the chart displays the trend and liquidity status across three distinct timeframes. It also features a comprehensive statistics section monitoring the active trading session, the current volatility regime, the count of unfilled fair value gaps, and the dynamic risk-to-reward ratio of any open simulated positions.
📖 How to Use
● Interpreting the Data
The primary workflow involves observing the direct interaction between price velocity and the mapped structural zones.
• Executing an Analysis
Wait for a visual Sweep Zone to form, indicating that a significant historical level has been tested and rejected by the market.
Observe the Signal Labels. A signal is only printed if the internal confluence engine—validating volume, delta, and structural displacement—has fully approved the setup.
If the FVG entry model is active, wait for price to retrace into the highlighted Fair Value Gap cloud before considering the setup valid for engagement.
• Trade Management
Utilize the plotted Position Boxes to evaluate the mathematical risk profile. The entry, stop loss, and targets are drawn directly on the chart for immediate visual feedback.
Monitor the MTF Dashboard to ensure the lower timeframe execution signal is not fighting a dominant higher timeframe trend.
If Dynamic Trade Management is enabled, closely observe the Stop Loss line as it automatically trails price based on the selected ATR, Swing, or Chandelier mathematical logic.
⚙️ Inputs and Settings
● Configuration Options
The script is heavily modular, allowing for extensive adjustment of its internal validation logic.
• General and Display Limits
Toggle the visibility of specific liquidity levels (Daily, Weekly, Monthly) and limit the maximum number of historical zones, FVG clouds, or signal boxes retained on the chart to maintain a highly optimized workspace.
• Validation Filters
Volume Validation: Adjust the Moving Average length and the RVOL threshold multiplier to define what constitutes a genuine volume climax.
Delta Filter: Toggle the requirement for estimated volume delta to perfectly align with the signal direction.
Divergence Source: Choose whether the script requires RSI, MACD, or a combination of both to display divergence before validating a reversal.
ADX Threshold: Define the strict minimum trend strength required for continuation signals.
• Target and Management Settings
Risk to Reward (R:R) Inputs: Define the exact mathematical multiples for Target 1, Target 2, and Target 3.
Position Sizing: Input an account balance and risk percentage to have the engine calculate the exact unit size for the plotted setup.
Trailing Logic: Select between None, ATR-based, Swing-based, or Chandelier-based trailing stops, complete with user-defined multiplier adjustments and partial profit scaling.
• Dashboard and Visual Preferences
Modify the specific timeframes monitored by the MTF panel, alter its position, and heavily customize the color palettes for all sweep zones, lines, heatmaps, and interface text.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Theoretical Foundations
The architecture of this script is grounded in several well-documented financial theories, primarily focusing on Auction Market Theory and the statistical modeling of price volatility distributions.
• Auction Market Theory and Liquidity
The core premise of the sweep detection logic rests securely on the concept of order matching and liquidity cascades. Markets move constantly to facilitate trade, frequently gravitating toward areas with a high density of resting stop orders, such as historical highs and lows. When these areas are breached but fail to attract aggressive participation, the auction process is deemed to have failed. This script mathematically quantifies these failed auctions by tracking the spatial relationship between the breakout wick and the closing price relative to the historical pivot.
• Statistical Variance and Normalization
The tool heavily utilizes the Average True Range (ATR) as a core normalization factor. Financial time series exhibit continuous heteroskedasticity, meaning volatility varies over time. Hardcoding a fixed point-value for concepts like "Equal Highs" or "Trailing Stops" is mathematically flawed. By utilizing ATR ratios, the algorithm rapidly adapts its spatial thresholds to the current standard deviation of price movement, ensuring highly consistent behavior across varying market regimes and asset classes.
• Momentum Divergence and Rate of Change
The inclusion of oscillators like the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) serves to measure the first and second derivatives of price—specifically velocity and acceleration. By actively requiring a divergence between price extremes and momentum extremes, the script effectively filters for environments where the kinetic energy of the prevailing trend is decaying, thereby increasing the statistical probability of a mean-reverting event or structural reversal.
• Volume Delta Approximation
While granular tick data is technically required for an exact volume delta calculation, the script employs a highly robust approximation algorithm that distributes volume proportionally across the candle's spread. This provides a quantifiable metric of localized supply and demand imbalances, adhering strictly to the Wyckoffian principle of Effort versus Result, ensuring that price moves are backed by actual transactional weight.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Indicator
AlgoZ Pro Price ActionAlgoZ Pro Price Action is a clean price action based forex indicator built to help traders identify potential Buy, Sell, and Exit areas using a combination of market structure, trend filtering, volatility logic, and dynamic trade management.
This indicator is designed around the idea that not every trade needs to have a high win rate to be useful. Instead of only looking for quick scalp targets, AlgoZ Pro Price Action is built to manage trades with a runner-style approach. The goal is to cut weak trades faster, protect trades that start moving in the right direction, and allow stronger moves to continue when momentum is present.
The default settings are best suited for 1-minute EUR/USD forex trading. Other forex pairs and timeframes may work differently and should be tested before use.
The indicator uses market structure breaks to identify possible directional shifts. When price breaks key internal support or resistance levels, the script checks multiple filters before plotting a signal. These filters are designed to reduce low-quality signals during chop, weak momentum, or overextended conditions.
AlgoZ Pro Price Action includes Buy, Sell, and Exit labels directly on the chart. Buy signals are shown in teal, Sell signals are shown in pink, and Exit signals are shown in a neutral color. The bars can also be colored based on the active signal direction so it is easier to visually track the current market bias.
One of the main parts of this indicator is the trend lock system. The trend lock helps prevent the indicator from flipping back and forth too quickly during noisy market conditions. It uses EMA trend structure, slope behavior, and confirmation bars to decide whether the market is currently favoring Buy-side or Sell-side continuation. Countertrend signals must be stronger before they are allowed through, which helps reduce random reversal signals during an active move.
The indicator also includes automatic forex pair adjustment. It detects whether the chart is a JPY pair or a non-JPY forex pair and automatically adjusts pip size calculations. This helps prevent issues where a stop or exit calculation is too tight or too wide because of the symbol’s price format. The script also includes auto volatility tuning, which uses ATR-based logic to scale stop size, runner triggers, trailing stop distance, dead-trade protection, and cooldown behavior based on the current pair’s movement.
Trade management is handled through a dynamic exit engine. Instead of using only fixed take profit levels, the indicator uses runner logic. Once a trade moves far enough in profit, the trade can enter runner mode. From there, the script can move the stop, protect profit, and trail the trade if the move continues. This allows stronger trades to breathe while still giving the indicator a way to exit when momentum fades.
AlgoZ Pro Price Action also includes dead-trade protection. If a trade has been open for a certain number of bars and has failed to make meaningful progress, the script can plot an Exit signal. This is designed to help remove weak trades that are not moving enough to justify staying in them.
The indicator includes several optional filters and controls, including EMA trend filtering, ADX strength filtering, chop filtering, candle body quality filtering, minimum EMA separation, price distance from the slow EMA, overextension protection, post-exit cooldown, and emergency protection logic.
Main features include:
• Buy, Sell, and Exit labels
• Teal and pink AlgoZ Pro visual theme
• Price action and market structure based signals
• Internal support and resistance break logic
• Optional BOS / CHoCH structure markings
• EMA trend filtering
• ADX trend strength filter
• Chop and range filter
• Candle quality filter
• Trend lock system
• Countertrend signal protection
• Auto pip size detection
• Auto adjustment for JPY and non-JPY forex pairs
• ATR-based auto pair tuning
• Dynamic stop logic
• Runner-style trade management
• Breakeven / profit lock logic
• Trailing stop logic for stronger moves
• Dead-trade exit protection
• Optional bar coloring
• Optional entry and stop lines
• Optional status table
Recommended default use:
1-minute EUR/USD forex chart.
Other forex pairs and timeframes may require adjustment depending on spread, volatility, session, and market conditions. Indicator
Swing Ladder Trend Engine [Jayadev Rana]OVERVIEW
Swing Ladder Trend Engine is a pure price-action trend-following tool. It builds its entire read of the market from confirmed swing highs and swing lows — no moving averages, no ATR, no oscillators. From that swing structure it derives three things: the current trend state, entry and exit signals, and a structure-anchored trailing stop (the "ladder") that only steps in the direction of the trade.
HOW IT WORKS
1. Swing structure. Confirmed pivot highs and lows (Swing Detection Length bars on each side) are classified as HH, HL, LH or LL and tagged on the chart.
2. Trend engine. When a bar closes beyond the most recent confirmed swing high, the trend state flips bullish; a close below the last confirmed swing low flips it bearish. Each swing level can only be broken once, so continuation breaks are tracked cleanly and bars are tinted by the active trend.
3. Ladder stop. Instead of a volatility trail, the stop is anchored to structure itself: in an uptrend it sits below the last confirmed swing low, offset by a configurable percentage of the current swing range, and it can only ratchet upward as new higher lows confirm. The result is a stepped "ladder" that gives the trade room where structure says it needs room, and tightens where structure tightens.
4. Pullback-quality entries. In the default Pullback mode a structure break only arms a setup. The entry itself requires the market to retrace into the breakout leg (between the Min and Max Retracement %), and then print a resumption candle: a close beyond the previous bar's extreme with a directional body of at least the Trigger Body Dominance fraction of its range. Retracements deeper than the maximum void the setup. A Breakout mode is included for traders who prefer to enter on the structure break itself.
SIGNALS: ENTRY, EXIT AND STOP
LONG / SHORT labels mark entries; the label tooltip stores the entry price and the ladder stop at that moment. A trade is closed either when price closes through the ladder stop or when the structure flips against it — the ✕ exit label's tooltip reports the reason and the approximate result in R (risk multiples, measured from entry to the initial ladder stop). All signals are evaluated on confirmed bars only.
DASHBOARD AND ALERTS
A compact dashboard shows the live trend state, the latest swing structure tags, the active signal, the current ladder stop level and the open trade's running R. Six alerts are available: long entry, short entry, exit long, exit short, and bullish/bearish trend flips.
SETTINGS
Swing Detection Length controls the size of the structure being tracked (larger = bigger swings, later confirmation). Entry Mode switches between Pullback and Breakout logic. Min/Max Retracement % and Trigger Body Dominance define what counts as a quality pullback entry. Stop Buffer sets how far beyond the protected swing the ladder sits, as a % of the current swing range. Dashboard position/size, structure labels, bar coloring and colors are all configurable.
LIMITATIONS
Swing points confirm only after the chosen number of right-side bars, so structure tags appear with a delay by design — this is what keeps the logic non-repainting on confirmed bars. Signals fire on bar close, not intrabar. Like any trend-following method, it gives back ground in choppy, range-bound conditions; the pullback filters reduce but do not remove that. R values shown in tooltips and the dashboard are approximations based on closing prices and do not account for gaps, fees or slippage. This is an analysis tool, not financial advice — always test settings on your own market and timeframe before relying on them.
WHY IT IS ORIGINAL
The combination of a swing-anchored ratcheting stop whose buffer adapts to the current swing range, plus an entry gate built from retracement depth and candle body dominance — all derived exclusively from raw price structure — is what this script contributes. It is not a mashup of built-in indicators; every state in the engine comes from the swing ladder itself. Indicator
Dynamic MSS Navigator [MarkitTick]💡 An advanced technical analysis tool engineered to automatically identify localized market structure, validate structural shifts, and dynamically generate risk-to-reward parameters. Built for systematic traders, it continuously scans price action to pinpoint candidate highs and lows based on user-defined lookback periods. Rather than relying on subjective charting, this indicator applies stringent mathematical logic—incorporating Average True Range (ATR) buffers, volume participation, and higher timeframe (HTF) alignment—to filter out market noise and present high-probability structural breaks. Once a valid break occurs, the indicator seamlessly transitions into trade management mode, drawing precise entry, stop-loss, and multiple take-profit levels directly onto the chart, accompanied by a comprehensive real-time data dashboard.
✨ Originality and Utility
● Automated Market Structure Mapping
The core utility of this indicator lies in its ability to remove human bias from market structure analysis. Traders often struggle with defining which highs and lows are structurally significant. This script mathematically defines them, tracking the absolute highest highs and lowest lows over a rolling window, and only recognizing a structural shift when a mathematically validated threshold is breached.
● Dynamic Risk-to-Reward Modeling
Unlike standard indicators that only print buy or sell arrows, this tool instantly calculates the exact risk parameter upon signal generation. By anchoring the stop-loss to the structural pivot with a built-in volatility buffer, it sizes the risk logically. It then extrapolates multiple take-profit targets based on fixed risk-to-reward ratios, providing a complete trade framework from inception to completion.
● Multi-Dimensional Filtering Mashup
This script operates as a highly cohesive mashup of distinct technical methodologies. It combines Donchian-style localized pivot detection for structure, Wilder’s Average True Range for volatility-based breakout validation, Simple Moving Averages of volume for participation measurement, and multi-timeframe security requests for overarching trend alignment. This combination ensures that a signal is only fired when price action, volatility, volume, and higher timeframe momentum are in total agreement.
🔬 Methodology and Concepts
● Localized Pivot Identification
The script continuously monitors the highest highs and lowest lows over a defined lookback period. When a new top is formed, it identifies the lowest point of that peak structure as the "Candidate Top Low." Conversely, when a new bottom forms, it marks the highest point of that valley structure as the "Candidate Bottom High." These form the immediate structural floors and ceilings.
● ATR-Buffered Breakout Logic
To confirm a shift, price must do more than just tick past the candidate line. The indicator requires price to breach the candidate level by an additional margin, calculated as a fraction of the current ATR. This ensures that only shifts with statistically significant momentum trigger a signal, heavily reducing false positives (fake-outs) during low-volatility chop.
● Composite Strength Scoring
Upon signal generation, the algorithm calculates a proprietary "Strength Score" from 0 to 100. This score is a weighted aggregate of three factors:
The distance of the closing price beyond the breakout threshold (measuring immediate momentum).
The current volume relative to its moving average (measuring market participation).
The alignment of the localized pivot with the higher timeframe pivot (measuring macro confluence).
● Dynamic Bias Tracking
The indicator tracks the ongoing market bias, classifying it as bullish, bearish, or neutral. A bullish bias is initiated upon a valid bottom break and remains intact until price breaches the newly established stop-loss level, at which point the bias flips or neutralizing protocols take over.
🎨 Visual Guide
● Chart Elements
• Candidate Lines
Dashed Red Lines indicate the support floor of a localized top. Dashed Green Lines indicate the resistance ceiling of a localized bottom. These project forward to show the exact price level that must be broken.
• Signal Markers
When a structural shift is validated, a solid Red Triangle appears above the bar for a bearish shift (labeled "BEAR"), and a solid Green Triangle appears below the bar for a bullish shift (labeled "BULL"). Small "+" cross icons appear for continuation signals where the trend is reinforced.
• Trade Projection Lines
A solid Red Line marks the calculated Stop Loss level. A dashed Blue Line marks the exact Entry Price. Dashed Teal Lines of varying opacities mark Take Profit 1 (TP1), Take Profit 2 (TP2), and Take Profit 3 (TP3).
• Zonal Fills
A semi-transparent Red Background fill connects the Entry line to the Stop Loss line, visually representing the initial capital risk. A semi-transparent Green Background fill connects the Entry line to the final TP3 line, representing the total projected reward zone.
• Heatmap Candles
The indicator takes control of the underlying candlestick colors to reflect the current structural bias. Deep Teal candles indicate an active bullish trend, Deep Red candles indicate an active bearish trend, and Gray candles indicate a neutral market state where structural direction is unresolved.
● Dashboard Readouts
A highly detailed heads-up display is rendered on the chart, featuring a dark background with bright, contrasting text. It provides rows of vital data including:
Last Signal and Trend State (e.g., HH-HL Up).
Candle Bias and a visual bar chart representing the Strength Score.
Confirmed Signal Count and Bars Since the Last Signal.
Active Position status, Entry Price, and Stop Loss Price.
Dynamic tick boxes for TP1, TP2, and TP3 displaying price levels and completion checkmarks.
Real-time Floating P/L (Profit/Loss) expressed in 'R' multiples.
Current ATR values and Volume vs Average visual bar meters.
Current state of Session and HTF filters.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
● Signal Execution
Traders should monitor the formation of the dashed candidate lines. When a breakout occurs, do not act prematurely; wait for the candle to close (if "Confirm by Close" is active) and ensure the primary signal triangle prints. This confirms that all volume and volatility parameters have been met.
● Assessing Trade Quality
Immediately consult the dashboard's "Strength Score." Higher scores (e.g., above 75%) indicate robust volume participation and excellent higher timeframe alignment, making them higher probability setups. Lower scores may warrant reduced position sizing or skipping the setup entirely.
● Trade Management
Utilize the dynamically plotted lines to set limit orders and stop losses in your execution platform. As price reaches TP1 and TP2 (indicated by checkmarks on the dashboard), consider trailing the stop loss to breakeven or the next logical structure point. If the candle heatmap shifts to gray (neutral) before reaching targets, it may be a prudent early exit warning.
⚙️ Inputs and Settings
● Core Settings
Lookback: Defines the number of bars used to identify localized tops and bottoms. Higher values find macro structures; lower values find micro structures.
Confirm by Close: Toggles whether the breakout must be confirmed by the candle's closing price or just the wick.
ATR Len & ATR Break Mult: Controls the volatility buffer required to validate a breakout.
● Filters
Volume Confirm: Requires breakout volume to exceed the moving average multiplied by the "Vol Spike Mult".
HTF Confluence: Restricts signals to those that align with the high/low structure of the user-defined Higher Timeframe.
Session Filter: Restricts signal generation to a specific daily time window (e.g., standard market hours).
● Trade Tools
TP1, TP2, TP3 R:R: Defines the static Risk-to-Reward multipliers for the take profit targets.
SL ATR Buffer: Adds additional breathing room to the stop loss beyond the absolute structural pivot.
● Visuals & Dashboard
Allows the user to toggle the display of candidate lines, heatmaps, and the main data dashboard, as well as reposition the dashboard to any corner of the screen.
● Alerts
Customizable string inputs for JSON payload generation, allowing traders to map long, short, close, trail, and target-hit actions directly to automated execution systems.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Dow Theory and Structural Extremes
The foundational logic of this script is rooted in classical Dow Theory, which posits that a trend is defined by a sequence of higher highs and higher lows (bullish) or lower highs and lower lows (bearish). By mathematically indexing `highestbars` and `lowestbars`, the script algorithmically isolates these fractal extremes, stripping away subjective human interpretation of market swings.
● Volatility-Normalized Breakout Thresholds
Financial markets are noisy, characterized by frequent false breaks (liquidity sweeps). This indicator employs Average True Range (ATR), a metric developed by J. Welles Wilder, to normalize the breakout threshold against current market volatility. By requiring price to exceed a structural level by a factor of the ATR, the algorithm relies on statistical significance—demanding that the breakout possesses enough standard deviations of momentum to be classified as a genuine shift in supply and demand, rather than random market drift.
● Volume Participation Theory
Drawing on Volume Price Trend (VPT) mechanics, the algorithm recognizes that price movement without volume is highly suspect. The implementation of a volume moving average filter ensures that structural breaks are validated by a true influx of market participation, confirming that the imbalance between buyers and sellers is robust enough to sustain a new directional vector.
● Automated Expected Value (EV) Projection
By mechanically tying the entry price to a mathematically defined stop-loss, and extrapolating predetermined Risk-to-Reward targets, the script enforces strict expected value mechanics. This removes emotional profit-taking, ensuring that winning trades scale out at mathematically optimal R-multiples (e.g., 1R, 2R, 3R), aligning the trader's execution with positive expectancy mathematical models over a large sample size of trades.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Indicator
FxNeel Institutional Swing & FVG MatrixDeveloped under the FxNeel, this open-source Pine Script v6 indicator is designed for professional traders utilizing advanced market structure frameworks and institutional volume tracking. The script focuses on identifying clear structural key points while maintaining chart cleanliness through intelligent filtering.
Key Features:
Four-Way Independent Swing Structure: It dynamically tracks Short-Term Highs (STH), Short-Term Lows (STL), Intermediate-Term Highs (ITH), and Intermediate-Term Lows (ITL).
Automatic Overlap Filter: To ensure chart clarity and prevent clutter, the indicator automatically removes minor STH/STL lines and labels once a major institutional pivot (ITH/ITL) is fully confirmed.
Dynamic Fair Value Gap (FVG) Engine: It tracks dynamic market imbalances (Bullish/Bearish FVGs) with real-time, state-based mitigation logic, modifying or removing zones as price action tests the gaps.
Granular UI Customization: Features a fully structured settings panel where visibility, line styles, text colors, and exact 4-way label alignments (Vertical and Horizontal) can be customized independently for each swing type. Indicator
Liquidity Entry Signals [MarkitTick]💡 A comprehensive, multi-faceted approach to identifying potential market reversals based on classic liquidity sweep mechanics. By scanning for instances where price briefly breaches a significant structural high or low before immediately rejecting and closing back within the range, this tool highlights areas where trap-based price dynamics may be in play. It is designed to offer a complete trading framework rather than just a simple signal, integrating dynamic stop-loss and take-profit plotting, real-time advanced dashboard analytics, and comprehensive alert payloads. This indicator assists in bridging the gap between raw price action analysis and structured trade management.
● ✨ Originality and Utility
Many basic technical indicators simply look for higher highs or lower lows without assessing the quality of the rejection. This script elevates that concept by requiring strict closing conditions to validate a sweep. What truly sets it apart is its integration of multiple intelligent filters. Rather than relying on price action alone, users can mandate that sweeps align with the prevailing trend, occur during periods of sufficient volatility, and are backed by relative volume strength.
Additionally, the built-in risk management visualizations automatically calculate position risk parameters right on the chart. By projecting stop-loss and take-profit levels based on current volatility, it transforms a static signal into an actionable trade plan. The inclusion of dynamic JSON payload generation for alerts also makes this an incredibly versatile tool for those looking to automate their execution through third-party platforms.
● 🔬 Methodology and Concepts
The core logic of this script is built around the concept of a liquidity sweep, verified through price action closes, and filtered through statistical market conditions.
Bullish Sweep: The script continuously calculates the lowest low over a user-defined lookback window. A valid bullish signal occurs when the current bar's lowest price penetrates this recent low, but the closing price decisively reclaims it by closing higher than the structural low and higher than its own open.
Bearish Sweep: Conversely, the script identifies the highest high over the recent lookback period. If the current bar's high breaches this level, but the close falls below the recent high and below its own open, a short signal is triggered.
Trend Filtration: The indicator uses a Simple Moving Average (SMA) on both the current chart and a selected higher timeframe to establish a directional bias. Signals that conflict with these moving average baselines are suppressed to prevent counter-trend trading.
Volatility and Volume Analysis: The script evaluates the Average True Range (ATR) as a percentage of the current closing price to ensure sufficient market movement is present. It also compares the current volume to a standard moving average of volume, filtering out setups that lack participation.
● 🎨 Visual Guide
The script draws extensive visual overlays to assist in real-time decision-making and trade management.
• Signal Labels
When a valid sweep occurs, an "LS" label is plotted. Green labels positioned below the candle indicate bullish setups, while red labels above indicate bearish setups.
• Trade Execution Lines
Upon a signal, the indicator projects trade management lines directly on the chart for the next 50 bars.
Entry Line: A dashed blue line marking the closing price of the signal bar.
Stop Loss (SL): A solid red line placed away from the entry, calculated based on the ATR multiplied by the user's risk factor.
Take Profit (TP): Three dashed teal lines representing Take Profit 1, 2, and 3. These are calculated using specific Risk-to-Reward multiples of the stop-loss distance.
• Risk and Reward Zones
Semi-transparent colored fills visually separate the trade zones. A red fill highlights the risk zone between the entry and the stop loss, while a teal fill highlights the reward zone extending from the entry to the final take-profit level.
• Advanced Dashboard
A multi-row informational table appears in the selected corner of the chart. This dashboard provides a real-time status check of the prevailing trend bias, the number of bars since the last signal, exact entry/SL/TP price levels, current ATR, and visual progress bars for volatility and signal cooldown periods.
● 📖 How to Use
Traders can utilize this script as a complete top-down methodology for analyzing market structure. First, observe the dashboard to confirm that the current market environment aligns with your desired filters (e.g., ensuring the higher timeframe trend is supportive and volume thresholds are met).
When a valid "LS" label appears on the chart, immediately note the projected Entry, Stop Loss, and Take Profit lines. The dashed blue line serves as your reference for a potential entry point. You can calculate your position sizing based on the fixed distance between this blue Entry line and the solid red Stop Loss line.
The three Take Profit levels allow for a tiered approach to trade management, enabling partial profit-taking as the price advances in your favor. Advanced users can configure the custom string inputs to send highly detailed webhook payloads directly to execution platforms, passing the exact dynamically calculated price levels directly to their broker.
● ⚙️ Inputs and Settings
The script is highly customizable through categorized input groups, allowing adaptation to any asset class or timeframe.
• SMC Settings
Sweep Lookback: Defines the number of historical bars used to calculate the structural high and low points.
• Smart Filters
Trend Filter: Enables an SMA condition to dictate the allowed signal direction.
Volatility Filter: Requires the ATR to be a minimum percentage of the asset's price before a signal can fire.
Volume Filter: Demands that the current bar's volume exceeds a defined multiple of the volume moving average.
HTF Timeframe: Selects the specific higher timeframe used for long-term trend alignment.
Signal Cooldown: Prevents consecutive signals within a specified number of bars to reduce chart noise during extended consolidations.
• Trade Tools
SL ATR Mult: Determines the distance of the Stop Loss based on the current ATR, adjusting risk based on market volatility.
TP1 / TP2 / TP3 RR: Sets the specific Risk-to-Reward multiples for the three profit targets.
• Alerts
Action Strings: Customizable fields to inject specific commands into the JSON alert payloads for entries, exits, and partial take-profits.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
From a market microstructure perspective, liquidity sweeps represent a temporary imbalance in supply and demand. In auction market theory, price frequently probes beyond established boundaries to test for the presence of resting orders. When price penetrates a historical extreme but fails to sustain value there—evidenced by the immediate reversal and closing within the prior range—it indicates an absorption of liquidity by counter-trend market participants. This exhaustion of directional momentum is a well-documented phenomenon in order flow analysis.
To normalize these price extensions, the indicator applies the Average True Range (ATR). Developed by J. Welles Wilder, the ATR provides a robust statistical measure of absolute price volatility, capturing gaps and limit moves that standard standard-deviation metrics might underrepresent. By tying the Stop Loss logic directly to the ATR, the indicator adapts to heteroskedasticity, which is the changing variance of asset returns over time. This ensures that risk parameters dynamically widen during highly volatile periods to prevent premature stop-outs, and contract during quiet phases to optimize capital efficiency.
Furthermore, the reliance on moving averages for trend and volume filtration applies fundamental time-series smoothing. This inherently mitigates the noise of high-frequency price fluctuations, ensuring that the localized microstructure event (the sweep) is aligned with the macro directional drift of the broader dataset.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
[ A L P H A X ] CADENCE - Elliott Wave + Fibonacci + StructureAlphaX CADENCE — Elliott Wave + Fibonacci + Market Structure Engine: Live W2/W4 Golden Zone Pullbacks, W3 Momentum Breakout, RSI Divergence Exit Warnings & Fibonacci Extension Targets
AlphaX CADENCE is a professional-grade Elliott Wave and Fibonacci confluence system built around the most powerful and time-tested framework in technical analysis — the five-wave impulse and three-wave corrective structure that governs institutional price delivery across all timeframes and all markets. Where most Elliott Wave indicators focus on labeling historical waves after the fact, CADENCE is engineered for live trade execution : it identifies the current wave phase in real time, marks the active golden Fibonacci pullback zone, and fires entry signals at the precise moment price enters the optimal entry window with market structure, higher timeframe bias, volume, and momentum confirmation all aligned. Four setup types — Wave 2 Golden Zone, Wave 4 Golden Zone, Wave 3 Momentum Breakout, and ABC Correction End — cover both pullback and breakout entries within the Elliott Wave framework. A dedicated RSI divergence exit warning system alerts you to potential Wave 5 exhaustion before the reversal strikes. Fibonacci extension targets (TP1 at Wave 1 high, TP2 at 1.618× extension) are computed automatically from the identified impulse leg. Designed for traders who want the rigor of Elliott Wave theory applied with quantitative precision, across crypto, forex, gold, and indices on any timeframe.
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〰 The Elliott Wave Framework — Why Institutional Price Moves in Waves
Elliott Wave theory is one of the oldest and most institutionally respected frameworks in technical analysis. Its core observation is that market prices do not move randomly — they move in structured, repeating patterns that reflect the collective psychology of all participants. The primary pattern is the five-wave impulse:
Impulse wave structure (bull):
Wave 0 → Wave 1: The initial impulse move — institutions begin accumulating, price moves sharply higher
Wave 1 → Wave 2: The first pullback — retail traders who missed the initial move sell back gains; Wave 2 never fully retraces Wave 1
Wave 2 → Wave 3: The most powerful wave — institutional participation accelerates, Wave 3 is typically the longest and strongest impulse
Wave 3 → Wave 4: A corrective pullback after Wave 3's extension, typically shallower than Wave 2; Wave 4 never enters Wave 1's territory in a valid impulse
Wave 4 → Wave 5: The final impulse leg, often accompanied by declining momentum and RSI divergence as the move exhausts
Why the golden zone matters: Waves 2 and 4 are the pullback waves — the retracement phases where price temporarily retreats before the next impulse. The Fibonacci golden zone (61.8%–38.2% retracement of the prior wave) is where these pullbacks most frequently terminate and reverse. Entering at the golden zone means entering with the lowest possible risk relative to the impulse target — the tight stop is at the wave invalidation level, and the target is the next wave's extension.
CADENCE is built to detect when the market is in a Wave 2 or Wave 4 pullback, when price has entered the golden zone, and when a qualified rejection candle confirms the reversal — producing entries at the statistically optimal Fibonacci reversal level within a confirmed Elliott Wave structure.
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🌊 The Wave Engine — Pivot-Based Leg Classification
CADENCE uses a real-time swing pivot detection system to classify the current Elliott Wave phase from confirmed price structure. On every bar, confirmed fractal pivot highs and lows are collected into a rolling swing array (configurable depth, default: 8 swings). The alternating sequence of highs and lows is then pattern-matched against Elliott Wave leg configurations.
3-swing classification (W2 phase):
When the three most recent confirmed swings form the pattern Low → High → Low (for bull impulse), CADENCE identifies:
W0 at the first low (impulse origin)
W1 at the high (impulse peak)
W2 in progress at the current low (the pullback)
If W1 is above W0 (valid impulse direction), the wave phase is classified as W2 PULL — the system is watching for the golden zone entry.
5-swing classification (W4 phase):
When five confirmed swings form Low → High → Low → High → Low (bull), CADENCE identifies all five wave points (W0 through W4). When W3 is above W1 (confirming the wave hierarchy) and W1 is above W0, the phase is classified as W4 PULL — the system is watching for the Wave 4 golden zone entry before the final Wave 5 push.
Wave phase display: The current wave phase is displayed prominently on the dashboard as W2 PULL, W4 PULL, CORR, or SCAN. This single row tells you exactly where CADENCE believes the market is in its current impulse cycle.
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📐 Fibonacci Golden Zone — The Optimal Entry Window
The Fibonacci golden zone is the price range between the 38.2% and 61.8% retracement of the prior impulse wave. This zone, sometimes called the "golden pocket," represents the most common termination range for corrective waves within a healthy impulse structure.
Wave 2 golden zone calculation:
Zone top = W1 − (W1 − W0) × 38.2%
Zone bottom = W1 − (W1 − W0) × 61.8%
Three Fibonacci levels displayed: 38.2% (dotted), 50.0% (solid, the equilibrium), 61.8% (dotted)
Wave 4 golden zone calculation:
Computed from the W2 → W3 leg rather than the W0 → W1 leg, reflecting that Wave 4 corrects Wave 3 specifically:
Zone top = W3 − (W3 − W2) × 38.2%
Zone bottom = W3 − (W3 − W2) × 61.8%
Golden zone visualization:
A semi-transparent box spans the golden zone from the prior wave's start bar to 15 bars beyond the current bar. Yellow-green for bull zones, red for bear zones. The box extends forward in real time — you can see the target zone approaching as price pulls back toward it.
In-zone detection:
Price is considered inside the golden zone when the bar's low (bull) or high (bear) reaches within the zone boundaries AND the candle closes on the correct side of the zone. The close-inside condition ensures the touch is a genuine rejection from within the zone rather than a pass-through.
Live Fibonacci levels:
The 38.2%, 50%, and 61.8% retracement lines are plotted from the Wave 1 pivot bar to 15 bars beyond current, updating in real time as the wave structure develops. The 50% line is plotted as a brighter solid line — the golden pocket midpoint.
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🏷 Four Live Setup Types
CADENCE fires signals through four distinct entry setups, each targeting a specific phase of the Elliott Wave cycle. Each has different risk/reward characteristics and different position within the wave sequence.
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W2 Golden Zone — Wave 2 Pullback Entry
The most frequent high-conviction setup. Fires when price retraces into the 38.2%–61.8% golden zone of Wave 1 during an identified Wave 2 correction.
Full conditions for long:
Bull impulse identified (three-swing pattern W0→W1→W2)
Wave phase is W2 PULL
Market structure is bullish (or HTF is bullish as a fallback)
The bar's low has entered the golden zone (between 38.2% and 61.8% retracement)
The bar closes above the zone bottom — confirming rejection, not breakdown
Wave 2 (the pullback) is holding above Wave 0 (the impulse origin) — the Elliott Wave rule that W2 never fully retraces W1 is validated
The impulse leg (W1 − W0) is at least the minimum size (default: 1.0× ATR) — filtering micro-waves
A qualifying bull trigger candle (rejection wick above 48% of range or bullish engulfing) is present
Stop placement: Below the minimum of W2 and W0 (the prior impulse origin) plus the ATR buffer. If price violates Wave 0, the impulse structure is invalid by Elliott Wave rules.
Targets: TP1 at W1 (the prior wave high); TP2 at the close plus 1.618× the impulse leg distance.
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W4 Golden Zone — Wave 4 Pullback Entry
The higher-conviction pullback setup. Wave 4 occurs after Wave 3 — the strongest and longest wave — has completed. The W4 correction offers the final opportunity to enter before Wave 5.
Key differences from W2:
Requires confirmed market structure (structure == 1 for bull, not just HTF fallback) — Wave 4 entries demand structural confirmation
Golden zone is computed from the W2 → W3 leg (correcting Wave 3, not Wave 1)
Requires five confirmed swings (W0 through W4) — a more mature wave count
Why W4 is high-conviction: By the time a Wave 4 is identifiable, the impulse sequence has completed three waves with Wave 3 confirming above Wave 1. The institutional participants who accumulated during Wave 2 are in strong profit and will add to positions during Wave 4. The golden zone for Wave 4 is the most actively defended pullback level in the entire five-wave sequence.
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W3 Momentum Breakout — Wave 3 Entry
The highest-momentum setup. Fires when price breaks above the Wave 1 high (bull) or below the Wave 1 low (bear) during a Wave 2 or Wave 4 pullback phase — the moment Wave 3 begins.
Long conditions:
Wave phase is W2 PULL or W4 PULL (the correction is completing)
Price closes above the last identified swing high (the Wave 1 level) in a single bar
The prior bar was at or below the breakout level
Market structure is bullish
Impulse leg size meets the minimum threshold
The W3 breakout philosophy: The Wave 3 breakout is the moment institutional participation accelerates explosively — the "Wall of Worry" is cleared and the crowd that was short begins covering. Entering at this exact bar captures the beginning of the fastest and largest wave of the impulse. The risk is paying a higher price than the golden zone pullback entries, but the momentum confirmation is unambiguous.
Target for W3 entries: TP1 is at entry + the full impulse leg distance (projecting a Wave 3 equal to Wave 1); TP2 is at the 1.618× extension.
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ABC Correction End — Three-Wave Reversal Entry
The counter-trend corrective setup. Disabled by default — the lower-conviction alternate wave scenario. Fires when a three-wave ABC correction retraces to the 61.8% level of the prior impulse with a rejection candle.
ABC conditions (bull):
Three-swing pattern confirms an ABC correction structure (Low → High → Low within a bull structure)
Price reaches the 61.8% retracement of the A leg from the B peak
Close recovers back above the 61.8% level
Bull trigger candle confirms
Why ABC is off by default: ABC entries are counter-corrective — they attempt to catch the end of a pullback at a single Fibonacci level without the full five-wave context. They work well when the prior impulse was clean and the ABC is proportional, but carry higher failure rates in choppy or range-bound conditions. Enable this setup only after studying its behavior on your specific instrument and timeframe.
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⚠ W5 RSI Divergence Exit Warning System
One of CADENCE's most valuable risk management features is the dedicated Wave 5 exhaustion detection system. When price is making new highs in a bull structure but the RSI is simultaneously making lower highs — a classic bearish divergence — the system plots small orange circles above the relevant bars as exit warnings.
How the divergence is detected:
Using confirmed pivot highs and lows from both price and RSI, CADENCE identifies:
Bearish divergence (bull W5 exhaustion): Price's pivot high exceeds the prior pivot high, but RSI's corresponding pivot is below its prior reading — price strength is not confirmed by momentum
Bullish divergence (bear W5 exhaustion): Price's pivot low is below the prior low, but RSI's reading is above its prior — selling momentum is fading at lower prices
Why W5 divergence is the most important Elliott Wave exit signal: Wave 5 is structurally the most exhausted wave — it occurs after four prior waves have already moved in the impulse direction, and is frequently accompanied by declining institutional participation. RSI divergence at Wave 5 is the most reliable early warning of the corrective ABC wave that follows. The small orange circles appear at the divergence bars — not blocking entry signals (divergence can persist for multiple bars) but providing continuous awareness that the impulse is aging.
These exit warnings fire separate alert conditions — CADENCE W5 Exit Bear and W5 Exit Bull — allowing you to set targeted notifications that prompt profit-taking on active wave trades.
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🧠 The 10-Layer Confluence Engine
Every setup is scored through a 10-layer confluence system. The default minimum is 4 of 10, producing a relatively permissive signal environment. Raising the minimum to 6–7 restricts signals to the highest-conviction wave setups only.
Layer 1 — Market Structure (1 point):
The current market structure state (bull or bear from the BOS/CHoCH engine) aligns with the signal direction. A W2 Golden Long in a bullish structure scores this point. A W2 Golden Long against a bearish structure does not.
Layer 2 — Fibonacci Zone (1 point):
Price is inside the applicable golden zone (W2 zone for W2 entries, W4 zone for W4 entries). For W3 and ABC entries, this layer is always credited since those setups do not require Fibonacci zone confirmation.
Layer 3 — Trigger Candle (1 point):
A qualifying bull or bear trigger candle is present — either a rejection pin bar (lower wick above 48% of range for bull) or a bullish engulfing. For W3 momentum entries, this layer is always credited since the breakout bar itself is the trigger.
Layer 4 — HTF Bias (1 point):
The higher timeframe EMA structure agrees with the signal direction. Can be set as a hard block (requireHtf = on) or as a soft scoring layer (default: off). When HTF is disabled, this layer awards 1 neutral point.
Layer 5 — Volume Expansion (1 point):
Current bar volume exceeds the volume moving average by the configured multiplier (default: 1.1×). Confirms institutional participation on the entry bar.
Layer 6 — Non-Chop Market (1 point):
Choppiness Index is below the configured threshold. Also enforced as a hard gate — extreme chop blocks all signals regardless of wave count quality.
Layer 7 — RSI Zone (1 point, optional):
RSI is in the appropriate zone for the signal direction — above the minimum for longs (default: 38), below the maximum for shorts (default: 62). Off by default — when enabled, adds a momentum context filter.
Layer 8 — EMA Trend Filter (1 point, optional):
Price is on the correct side of the configurable EMA. Off by default — when enabled, adds a trend alignment filter.
Layer 9 — RSI Momentum (1 point, optional):
RSI is actively rising (bull) or falling (bear) on the current bar — momentum is accelerating in the signal direction. Off by default.
Layer 10 — Base Credit (1 point):
A flat credit awarded to all qualifying setups — the minimum point that acknowledges the setup type itself has passed its structural requirements. This ensures that even with optional filters disabled, the maximum achievable score is 10.
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📊 Fibonacci Extension Targets — Automatic TP Calculation
Every CADENCE signal produces two automatically computed take profit levels based on the identified impulse wave measurement.
TP1 — Wave 1 High / Wave Projection:
For W2 and W4 golden zone entries, TP1 is set at the prior Wave 1 level — the high that preceded the current pullback. This is the minimum structural target: the expectation that Wave 3 or Wave 5 will at least reclaim Wave 1's high. For W3 momentum entries, TP1 is set at entry plus the full impulse leg distance (Wave 3 = Wave 1 in length).
TP2 — 1.618× Extension:
The primary Fibonacci extension target, computed as `entry + impulse_leg × 1.618`. The 1.618 extension (the Golden Ratio) is the most common Wave 3 termination level and a standard Wave 5 target when Wave 3 is extended. This level is configurable (default: 1.618, range: 1.0–2.618).
Visual output: TP1 is plotted as a lime-green dotted line. TP2 is plotted as a bright yellow-green dashed line at width 2. Both extend forward by the configured guide bars (default: 35). The stop loss is plotted as a red dotted line below the wave invalidation level plus ATR buffer.
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📊 Live Dashboard
The 9-row real-time dashboard displays the complete wave analysis state.
Wave Phase — W2 PULL, W4 PULL, CORR, or SCAN. The current position within the Elliott Wave cycle. Purple color
Structure — BULL MS (bullish market structure), BEAR MS (bearish), or RANGE (no clear structural direction)
Setup — the current or most recent setup name: W2 GOLDEN, W4 GOLDEN, W3 BREAK, ABC END, ARM LONG (golden zone approached but not yet triggered), ARM SHORT, or —. Color-coded by directional bias
Layers — the current confluence score out of 10. Yellow-green when at or above the minimum threshold
Chop — live Choppiness Index value. Yellow-green when clear, red when above the stand-aside threshold
TP1 — the current or most recent TP1 level. Shows — between signals
TP2 — the current or most recent TP2 level
HTF — the higher timeframe EMA bias: UP, DOWN, or MIX
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📈 Chart Visual System
Live Wave Path Lines — lines connecting the most recent confirmed swing pivots, color-coded yellow-green for bull impulse and red for bear impulse. Shows the current wave sequence structure directly on the price chart
Golden Zone Box — semi-transparent box spanning the 38.2%–61.8% Fibonacci retracement zone from the prior wave. Yellow-green for bull, red for bear. Extends 15 bars forward and updates in real time as the wave structure evolves
Fibonacci Levels — three horizontal dotted/solid lines at 38.2%, 50%, and 61.8% retracement from the Wave 1 pivot bar. The 50% level is the brightest solid line — the golden pocket center
▲ Triangle (below bar, bright yellow-green) — bull entry signal. W2 Golden, W4 Golden, W3 Breakout, or ABC End
▼ Triangle (above bar, bright red) — bear entry signal
● Orange Circle (above bar) — W5 bearish RSI divergence exit warning
● Orange Circle (below bar) — W5 bullish RSI divergence exit warning
Entry Line (bull/bear color dashed) — entry close level extending guideExtend bars forward
Stop Loss Line (red dotted) — structural stop below wave invalidation level plus ATR buffer
TP1 Line (lime dotted) — first target at Wave 1 high or equal-leg projection
TP2 Line (bright yellow-green dashed, width 2) — 1.618× Fibonacci extension target
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🚀 How to Trade with AlphaX CADENCE — Step by Step
Step 1 — Read the Wave Phase
Check the Wave Phase row on the dashboard. W2 PULL or W4 PULL means the system has identified a valid pullback phase — a setup may be approaching
Confirm Structure — BULL MS for long setups, BEAR MS for short. If Structure shows RANGE, the wave context is weaker
Check the golden zone box on the chart. Is it near current price? Is price approaching from above (bull W2 pullback)?
Step 2 — Watch the Golden Zone Approach
When Setup shows ARM LONG, price is approaching the golden zone. Watch for a rejection candle forming inside or at the zone boundary
Check Layers — if it is approaching the minimum threshold, a signal is likely imminent. Check HTF to confirm the macro direction
The Fibonacci levels on the chart show the exact 38.2%, 50%, and 61.8% prices — monitor for price rejection specifically at the 61.8% level (the deepest golden zone entry) for the highest-conviction golden pocket entry
Step 3 — Enter on the Triangle Signal
A ▲ triangle below the bar confirms all wave, Fibonacci, structural, and confluence conditions are met simultaneously. The setup name shows on the dashboard (W2 GOLDEN, W4 GOLDEN, W3 BREAK, ABC END)
The SL line is at the structural wave invalidation level — if price closes below Wave 0 (W2 entries) or below Wave 2 (W4 entries), the Elliott Wave count is invalid. This is a structural stop, not arbitrary ATR
TP1 is at the prior Wave 1 high — the minimum expectation for the next impulse wave
TP2 is at the 1.618× Fibonacci extension — the classical Wave 3 or Wave 5 termination level
Step 4 — Monitor for W5 Exit Warnings
As price advances toward TP2, watch for the orange W5 exit warning circles appearing above (bear divergence) or below (bull divergence) price bars
When orange circles begin appearing regularly as price approaches TP2, consider taking full profit rather than holding for further extension
A W5 divergence warning combined with price near TP2 is the strongest exit signal the system produces
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⚠ Identifying Low-Quality Conditions — When Not to Trade
Stand aside when:
Wave Phase shows SCAN or CORR — the system has not yet identified a clear impulse structure with sufficient pivot history. SCAN means fewer than 3 qualified swings are stored; CORR means the three-swing pattern does not satisfy the impulse directional rules. Do not force entries without clear wave context
Chop Index is red on the dashboard — the hard chop gate is active. Elliott Wave patterns are fundamentally trend-following structures and lose their predictive power in extreme chop. All signals are blocked
Structure shows RANGE — no clear bullish or bearish market structure is established. W2 and W4 golden zone entries without structural support are lower quality. Consider waiting for a CHoCH or BOS to establish directional structure before entering
Layers score is at minimum (4/10) with all optional filters disabled — the bare-minimum score means only the most basic conditions are met. In this environment, require a higher layer count (increase minimum to 5–6) or wait for more confluence factors to align
W5 exit warnings are already appearing when entering — if orange circles are appearing before a new entry signal fires, RSI divergence is already present. This suggests the wave is potentially in a late W5 stage rather than a healthy W2 or W4. Do not enter a new position when existing divergence warnings are active
Golden zone is very narrow (W4 zone nearly coincides with stop) — when the 38.2% and 61.8% levels are very close together (small Wave 3 leg), the golden zone provides minimal entry edge. The risk/reward is poor when the zone height is less than 0.5× ATR
The ideal CADENCE setup:
Wave Phase W4 PULL with confirmed 5-swing structure
Market structure BULL MS or BEAR MS — clear directional bias
Price at or near the 61.8% golden zone boundary — the deepest valid pullback
HTF aligned with impulse direction
Volume expanding on the rejection bar
Layers at 7–8 out of 10
No W5 divergence warnings on the current sequence
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⚡ Key Features
〰 Real-time Elliott Wave classification — 3-swing (W2 phase) and 5-swing (W4 phase) pattern matching from confirmed fractal pivots, updated on every bar
📐 Adaptive Fibonacci golden zone — 38.2%–61.8% retracement zone computed from the current wave's impulse leg, rendered as a live box and three labeled levels updating in real time
📦 Live wave path visualization — lines connecting the most recent confirmed swing pivots, color-coded by impulse direction, showing the current wave sequence structure
🏷 Four setup types — W2 Golden Zone, W4 Golden Zone, W3 Momentum Breakout, and ABC Correction End (optional) — covering both pullback and breakout entries within the wave framework
📈 Fibonacci extension targets — TP1 at the Wave 1 high (minimum wave projection), TP2 at the configurable Fibonacci extension (default: 1.618×) automatically computed from the identified impulse leg
⚠ W5 RSI Divergence Exit Warning — pivot-based RSI divergence detection produces orange warning circles as price approaches potential Wave 5 exhaustion, with dedicated alert conditions
🧠 10-layer confluence engine — Market Structure, Fibonacci Zone, Trigger Candle, HTF Bias, Volume, Non-Chop, RSI Zone, EMA Filter, RSI Momentum, and Base Credit scored independently
🛡 Wave-anchored structural stop — SL placed below the Elliott Wave invalidation point (Wave 0 for W2 entries, Wave 2 for W4 entries) plus ATR buffer — not an arbitrary distance
📊 Live dashboard — Wave Phase, Structure, Setup, Layers, Chop, TP1, TP2, and HTF updated on every bar
📡 JSON alerts on FIRED — structured alert payload with weapon, side, setup name, entry, SL, TP1, TP2 for webhook integration
🔔 4 alert conditions — CADENCE Long, CADENCE Short, W5 Exit Bear Warning, W5 Exit Bull Warning
⚙ Fully configurable — pivot length, minimum leg size, Fibonacci zone levels, extension target, RSI divergence settings, all four setup enables, confluence minimum, HTF parameters, all optional filters, chop gate, SL buffer, guide bars, wave path and golden box display, dashboard size, and all colors are independently adjustable
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⚙ Settings Reference
Wave Engine
Swing Pivot Length — fractal sensitivity for pivot detection (default: 5)
ATR Length — ATR calculation lookback (default: 14)
Min Leg Size (xATR) — minimum impulse leg height in ATR multiples for wave classification (default: 1.0)
Swings Stored — rolling swing array depth (default: 8)
Fibonacci Zones
Pullback Zone Low (Fib) — lower Fibonacci level of the golden zone (default: 0.382)
Pullback Zone High (Fib) — upper Fibonacci level (default: 0.618)
TP2 Extension — Fibonacci extension level for the full measured move target (default: 1.618)
Show Active Fib Levels — toggle the 38.2%, 50%, and 61.8% horizontal lines
Market Structure
BOS: Close Only — when on, structure breaks require a close beyond the swing level (default: on)
Live Setups
W2 / W4 Golden Pullback — toggle both golden zone entry setup types
W3 Momentum Breakout — toggle the Wave 3 breakout entry
ABC Correction End — toggle the corrective three-wave reversal entry (default: off)
W5 RSI Divergence Exit Warn — toggle the exit warning system
RSI Length — RSI calculation period (default: 14)
Divergence Lookback — bars for pivot-based RSI divergence detection (default: 14)
Confluence
Min Layers (of 10) — minimum score to fire a signal (default: 4)
Hard HTF Alignment — when on, counter-HTF signals are blocked (default: off)
HTF Trend Bias / HTF Timeframe / HTF Fast / HTF Slow EMA — higher timeframe parameters
Volume Confirm / Volume vs Avg / Volume Avg — volume expansion layer parameters
RSI Momentum Filter — optional RSI direction filter (default: off)
RSI Min (Long) / RSI Max (Short) — RSI zone thresholds when filter is enabled
EMA Trend Filter / EMA Length — optional EMA directional filter (default: off)
Block Extreme Chop / Choppiness Length / Chop Block Above — chop gate parameters
Signal Cooldown (bars) — minimum bars between signals (default: 8)
Entry / Exit Guides
Show SL + TP1 + TP2 — toggle the guide lines
SL Buffer (xATR) — ATR buffer beyond the wave invalidation point (default: 0.25)
Guide Extend (bars) — how many bars forward the guide lines project (default: 35)
Display
Show Live Wave Path — toggle the swing-to-swing connecting lines
Show Golden Zone Box — toggle the Fibonacci retracement zone box
Show Entry Markers — toggle signal triangles
Show Dashboard — toggle the full dashboard
Dashboard Text Size — Standard / Small
Dashboard Position — Top Left / Top Right / Bottom Left / Bottom Right
Colors
Bull / Wave Up — yellow-green for bullish waves, signals, and zones
Bear / Wave Down — red for bearish elements
Fib / Wave Accent — purple for Fibonacci levels, wave path, and neutral zone elements
W3 / Exit Accent — orange for W3 breakout accents and W5 exit warning markers
Stop Line / TP1 Line / TP2 Line — individual guide line colors
Dash Text / Dash BG / Dash Header / Dash Section / Dash Frame — full dashboard color control
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🔔 Alert Conditions (4 total + JSON)
Entry Alerts
CADENCE Long — all wave, Fibonacci, structure, and confluence conditions confirmed. JSON payload delivered with setup, entry, SL, TP1, TP2
CADENCE Short — all conditions confirmed for a short wave setup. JSON payload delivered
Exit Warning Alerts
CADENCE W5 Exit Bear — bearish RSI divergence detected at a price pivot high in a bull structure. Wave 5 exhaustion may be approaching
CADENCE W5 Exit Bull — bullish RSI divergence detected at a price pivot low in a bear structure
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🎯 Recommended Settings by Instrument & Timeframe
The default configuration is optimized for XAUUSD, major forex pairs, and crypto on M15–H4 :
Pivot Length at 5 — captures meaningful structural swings without excessive sensitivity on intraday timeframes
Min Leg Size at 1.0× ATR — filters micro-waves while capturing the significant legs that represent genuine Elliott impulses
Fibonacci zone from 38.2% to 61.8% — the classic golden zone that encompasses the highest-probability pullback termination range
HTF at 60-minute as a soft scoring layer — adds confluence when aligned without hard-blocking the counter-HTF wave setups that occasionally occur at institutional correction boundaries
ABC Correction End off by default — the corrective pattern carries more interpretation risk and is better enabled only when the user has studied Elliott corrective structures
For other instruments or timeframes, adjust:
M1–M5 scalping — reduce Pivot Length to 3, reduce Min Leg Size to 0.5, increase Cooldown to 5–6 bars, reduce Guide Extend to 15–20
H4–Daily swing trading — increase Pivot Length to 8–10, increase Min Leg Size to 1.5–2.0, increase TP2 Extension to 2.0–2.618, increase Min Layers to 5–6
Crypto (BTC, ETH) — increase Min Leg Size to 1.5 for the larger swing amplitudes, increase Fibonacci zone to 0.382–0.786 for the deeper corrections common in crypto waves
Higher confidence signals only — raise Min Layers to 6–7, enable Hard HTF Alignment, enable EMA Trend Filter and RSI Momentum Filter, disable ABC Correction End
More signals — lower Min Layers to 3, enable ABC Correction End, disable Volume Confirm, reduce Min Leg Size to 0.5
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👥 Who This Is For
〰 Elliott Wave traders — CADENCE is the definitive quantitative implementation of the Elliott Wave trading framework for the AlphaX suite. Every component — swing identification, wave phase classification, golden zone computation, wave invalidation stop, Fibonacci extension target — is automated and applied consistently
📐 Fibonacci traders who want wave context — the Fibonacci zone in CADENCE is not a standalone level but a wave-specific retracement within a confirmed impulse structure. This context dramatically improves the reliability of Fibonacci entries compared to drawing retracement levels manually without wave classification
🎯 Pullback traders — the W2 and W4 golden zone setups are fundamentally the most optimal pullback entry in all of technical analysis — buying the deepest valid retracement within a confirmed trend impulse, with a stop at the structural invalidation point
⚡ Momentum traders — the W3 Momentum Breakout entry targets the beginning of the fastest and largest wave of the impulse sequence, providing explosive breakout entries within a wave-confirmed context
🧠 Systematic traders who want quantified wave analysis — the 10-layer scoring system and deterministic pivot-based classification replace the subjectivity of traditional Elliott Wave labeling with objective, repeatable criteria
📈 Traders who struggle with knowing when to exit trending trades — the W5 RSI divergence exit warning system provides early, systematic notification of impulse exhaustion — the most common and costly mistake in Elliott Wave trading is riding Wave 5 too long
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📝 Notes
All signals are confirmed on bar close — the indicator is non-repainting by design. Pivot detection, wave classification, Fibonacci zone computation, and confluence scoring all finalize on confirmed bars only
Elliott Wave classification requires a minimum of 3–5 confirmed swings in the rolling array. On charts with fewer than 200 bars of history, the wave phase may show SCAN until sufficient pivot history accumulates
The wave path lines and golden zone box are redrawn on the last bar only for chart performance. Historical signal triangles and exit warnings are preserved on their original bars
The minimum leg size filter (default: 1.0× ATR) ensures that only waves with meaningful price movement are classified. Very small swings below the ATR threshold are ignored by the wave engine, preventing micro-structure noise from producing false wave counts
The W5 divergence detection uses pivot-based RSI comparison with a configurable lookback. The detection is based on confirmed pivots and is non-repainting, but the divergence signal appears at the confirmation bar (pivLen bars after the actual pivot), not at the pivot bar itself
When both W2 and W4 conditions are simultaneously met (a rare occurrence in transition periods), W4 takes priority in the signal selection because W4 entries occur in more mature, structurally confirmed wave counts
The indicator does not automatically label historical waves — it focuses on the live wave phase and active entry setups. For historical wave labeling, combine with a standalone Elliott Wave labeling tool
The indicator does not track open positions or P&L and does not connect to any broker or account
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who understand that markets move in waves — and who want a system precise enough to position them at the exact Fibonacci level where the next wave begins. Indicator
ApexSignalPro SMC [ForexCracked]🔵 OVERVIEW
ApexSignalPro SMC is a confluence-scored Smart Money Concepts indicator that fires a signal only when multiple institutional footprints align on the same bar. Every signal carries a live score from 0 to 5 showing how many structural conditions agree — market structure, order blocks, fair value gaps, premium/discount location, and higher-timeframe bias.
Instead of the "every crossover is a signal" approach, it uses a strict confluence gate, a range-regime filter, and forced signal alternation — far fewer signals, much higher conviction. A live dashboard shows the score, active zones, and the last trade plan at a glance.
🔵 WHY THESE COMPONENTS ARE COMBINED
A break of structure alone, an order-block touch alone, or a single fair value gap all fire often and fail often. They become far more reliable when they occur together and agree with the higher-timeframe trend. Rather than overlaying five separate tools and leaving you to judge them, this script quantifies their agreement into one 0–5 score and only trades when enough align. Three principles guide it:
• Direction comes from market structure (BOS / CHoCH), not from price crossing smoothed averages
• Entries require confluence, never a single condition
• Signals alternate (BUY → SELL → BUY), never stacking the same direction in one leg
🔵 THE FIVE SCORED FACTORS (1 point each)
1️⃣ Market structure (BOS / CHoCH) points in the signal direction
2️⃣ Price is inside an unmitigated order block
3️⃣ Price is inside an unmitigated fair value gap
4️⃣ Correct half of the range — discount for longs, premium for shorts
5️⃣ Higher-timeframe EMA bias agrees
🔵 HOW A SIGNAL FIRES A BUY or SELL prints only when ALL of these are true:
• The confluence score meets your minimum (default 3 of 5)
• A strong-bodied candle closes in that direction
• The ADX regime filter confirms trending, not ranging
• The signal is opposite the previous one (forced alternation) Each signal draws Entry, Stop (beyond the nearest order block + ATR buffer), and Take Profit (configurable R:R), with pip labels.
🔵 HOW IT READS THE MARKET
• Market structure — confirmed swing pivots; a close beyond the last pivot is a BOS, the first break against structure is a CHoCH that flips the state
• Order blocks — the last opposing candle before an impulsive displacement (body > 1.2× ATR); tracked until mitigated or aged out
• Fair value gaps — three-candle imbalances filtered by a minimum ATR size; removed when filled
• Premium / discount — the swing-range midpoint splits discount (below) from premium (above) • Regime — ADX must exceed your minimum, suppressing signals in flat ranges
🔵 HOW TO USE
• Favour score 4–5 signals; treat score 3 with extra confirmation
• Require the dashboard HTF bias to match the signal for trend-aligned entries
• Use retests of unmitigated OBs or FVGs in the trend direction as continuation entries
• Size each trade off the drawn stop distance at a fixed account risk
• Raise Min Confluences to 4 for fewer, stronger signals
🔵 RECOMMENDED SETTINGS
• Swing Length: 5
• Higher Timeframe: 240 (H4) on H1 charts, D on H4 charts
• HTF EMA: 50 · OB Max Age: 20 · FVG Min Size: 0.3× ATR
• ADX Min: 22 · Min Confluences: 3 · SL Buffer: 0.5× ATR · R:R: 2.0
🔵 BEST / WEAKEST CONDITIONS ✅ Trending majors, gold, and indices on H1–H4; London / New York overlap ⚠️ Low-volatility ranges, gapped markets, and sub-5-minute noise
⚠️ DISCLAIMER ApexSignalPro SMC structures signals from Smart Money Concepts. It does not predict future price movement. Results depend on market conditions, settings, and your own execution and risk management. Shared for educational and research purposes; not financial advice. Indicator
Change in State of Delivery [CISD] (Zeiierman)█ Overview
Change in State of Delivery (Zeiierman) identifies genuine changes in buying and selling pressure by monitoring consecutive delivery candles and tracking when price closes beyond the opening price of the previous delivery phase.
Rather than relying solely on traditional market structure concepts such as Break of Structure (BoS) or Market Structure Shift (MSS), the indicator focuses on delivery itself, the sequence of aggressive buying or selling that drives price.
When price successfully closes beyond the opening price of the previous delivery leg, a Change in State of Delivery (CISD) is confirmed, highlighting a potential shift in market control.
⚪ True Delivery Engine
The indicator continuously tracks bullish and bearish delivery sequences. A delivery begins whenever consecutive candles close in the same direction.
Once a minimum number of delivery candles has formed, the indicator records:
• The opening price of the first delivery candle.
• The starting bar of the delivery sequence.
• The active delivery level.
Unlike many CISD implementations, this indicator is built around the actual delivery sequence instead of simply using arbitrary candle opens.
⚪ CISD Confirmation
A Change in State of Delivery is confirmed when price closes beyond the opening price of the previous delivery sequence.
Bullish CISD
• Bearish delivery completes.
• Price closes above the opening price of that bearish delivery.
Bearish CISD
• Bullish delivery completes.
• Price closes below the opening price of that bullish delivery.
⚪ Liquidity Sweep Detection
The indicator can optionally display liquidity sweeps around confirmed swing highs and swing lows.
A bearish liquidity sweep occurs when:
• Price trades above a previous swing high.
• Price closes back below the swing high.
A bullish liquidity sweep occurs when:
• Price trades below a previous swing low.
• Price closes back above the swing low.
⚪ Market Structure Shift (MSS)
For additional confirmation, the indicator can display simple Market Structure Shift events.
Bullish MSS
• Price closes above the most recent confirmed swing high.
Bearish MSS
• Price closes below the most recent confirmed swing low.
█ How It Works
⚪ Delivery Detection
The script continuously counts consecutive bullish and bearish candles.
Once the minimum delivery requirement is reached, the opening price of the delivery sequence becomes the active CISD level.
This level represents the point where the current buying or selling pressure originally began.
if bull
bullSeq := bull ? bullSeq + 1 : 1
if bullSeq == 1
bullDeliveryOpen := open
if bear
bearSeq := bear ? bearSeq + 1 : 1
if bearSeq == 1
bearDeliveryOpen := open
⚪ CISD Validation
The delivery level remains active until one of two events occurs:
• Price confirms the CISD by closing beyond the delivery open.
• The setup expires after the maximum user-defined validity period.
Confirmed CISDs remain visible, while expired setups are automatically removed.
⚪ Dynamic Trend State
Each confirmed CISD updates the internal trend state.
This trend can optionally be used to:
• Color candles.
• Visually distinguish bullish and bearish market conditions.
• Generate trend shift alerts.
Repeated confirmations in the same direction are displayed using dashed CISD levels, making ongoing directional control easier to recognize.
█ How to Use
⚪ Identify Delivery Shifts
The primary purpose of the indicator is to detect when one side of the market successfully overcomes the previous delivery phase.
A bullish CISD shows that buyers have reclaimed control after a bearish delivery sequence. A bearish CISD shows that sellers have reclaimed control after a bullish delivery sequence.
Instead of reacting to every structural break, traders can use confirmed CISD levels to focus on cleaner shifts in market pressure.
⚪ Solid vs Dashed CISD Levels
Not all confirmed CISD levels are displayed the same way.
Solid CISD lines represent a new change in delivery, where market control shifts from buyers to sellers or from sellers to buyers. These are often the most significant signals, as they indicate a potential trend reversal or the beginning of a new directional move.
Dashed CISD lines occur when another CISD confirms in the same direction as the current trend. Instead of signaling a reversal, they indicate that the existing trend continues to regain control after a pullback.
In practice:
• Solid CISD → Potential change in directional control.
• Dashed CISD → Trend continuation after a correction or retracement.
This visual distinction helps traders quickly identify whether a CISD represents a fresh shift in market control or simply reinforces the current trend.
█ Settings
Show CISD: Displays active and confirmed CISD levels.
Minimum Delivery Candles: Minimum number of consecutive candles required before a delivery sequence becomes valid.
Maximum CISD Validity: Maximum number of bars a setup can remain active before expiring.
Minimum CISD Duration: Minimum number of bars before a CISD is allowed to confirm.
Show Liquidity Sweeps: Displays bullish and bearish liquidity sweep levels.
Sweep Swing Length: Controls the swing detection used for identifying liquidity sweeps.
Show MSS Dots: Displays Market Structure Shift confirmations.
MSS Length: Controls the pivot length used for structure detection.
Color Candles by CISD Trend: Colors candles using the latest confirmed CISD direction.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicator
Smart Money Concept [martineye15]Smart Money Concepts Toolkit — an all-in-one Smart Money / ICT overlay that auto-detects and draws the core concepts on any symbol and timeframe, then ties them together with a multi-factor confluence filter and a built-in risk:reward trade planner.
WHAT IT DRAWS
- Market structure: swing pivots labelled HH / HL / LH / LL, with Break of Structure (BOS, continuation) and Change of Character (CHoCH, first counter-trend break) and a persistent trend state. An optional faster "internal" structure stream can run alongside the major one.
- Liquidity: Equal Highs / Lows (EQH / EQL) detected within an ATR-based tolerance, plus liquidity sweeps / stop hunts (a wick beyond a prior swing that closes back inside).
- Order blocks: the last opposite-colour candle before a structural break, extended until mitigated. Choose Touch or Close mitigation, wick or body range, swing or internal origin, and optional breaker blocks.
- Fair value gaps: 3-candle imbalances, extended until filled, with Touch or Close fill logic and an option to keep only unfilled gaps.
- Premium / discount: dynamic zones from the current dealing range with a 50% equilibrium line and an optional OTE band (0.62-0.79).
- Sessions / kill zones: optional Asia / London / New York shading with a configurable timezone and session times.
CONFLUENCE ENGINE (optional)
A discreet long/short marker that prints only when the factors YOU enable all agree - any combination of: price in discount/premium, a BOS/CHoCH in the trade direction, an unmitigated order block, an unfilled FVG, an opposing liquidity sweep, and higher-timeframe bias alignment via an HTF EMA. A recency window controls how fresh an event must be to still count. Signals evaluate on bar close and only on the first bar the conditions are met, so they do not spam or flip intrabar.
TRADE SETUP (Risk:Reward)
When enabled, each confluence signal draws a full plan: an entry (market at the signal close, or a limit at the order-block midpoint), a stop anchored to the order block / swing point / ATR that would invalidate the idea (plus an ATR buffer), and TP1 to TP4 placed at your chosen R multiples. Levels project forward and the lines are draggable, so you can fine-tune the plan by hand.
ALERTS
Ready-made alerts for BOS, CHoCH, new bullish/bearish order block, new bullish/bearish FVG, liquidity sweep, and confluence long/short.
HOW TO USE
Add it to a standard candlestick chart. Read the market with structure, liquidity and premium/discount; use order blocks and fair value gaps as areas of interest; then, if you want a filter, enable the confluence engine and turn on only the factors that fit your approach. Enable the trade setup to auto-draw a structure-anchored R:R plan on each signal, and set alerts on the events you care about. Every module toggles independently, so you can keep the chart as clean or as detailed as you like.
WHAT MAKES IT DIFFERENT
Instead of isolating a single SMC concept, it unifies structure, liquidity, order blocks, FVGs, premium/discount and session timing, and adds two things on top: a configurable confluence filter that only signals when multiple user-chosen factors align, and an integrated R:R planner that anchors the stop to the actual level that invalidates the trade and projects targets by R multiple.
REPAINTING & LIMITATIONS
All structural logic is based on confirmed pivots and closed candles; fair value gaps are committed only on a confirmed bar; the higher-timeframe bias uses the previous closed HTF bar. Pivots appear after their lookback (the normal pivot lag), which is not repainting. Live drawings such as order blocks and premium/discount zones update as the current, unclosed bar develops and as new pivots confirm; this is expected behaviour, not a change to confirmed history.
This is a visual, decision-support tool. It is not a strategy, it produces no orders or performance statistics, and it is not financial advice. Indicator
Cumulative Rejection Heatmap [MarkitTick]💡 This advanced visual analytics tool is designed to track, aggregate, and display price rejection zones over a rolling historical window. By focusing entirely on market wicks—the footprints of supply and demand absorption—this script constructs a dynamic heatmap that highlights where price has repeatedly struggled to close. Instead of simply looking at volume or closing prices, it isolates the exact microscopic levels where buyers and sellers have historically stepped in to reverse the momentum, providing a crystal-clear map of underlying market mechanics.
● ✨ Originality and Utility
Traditional technical analysis often relies on closing prices or volume-at-price concepts like the Volume Profile. While valuable, these standard tools can sometimes obscure the specific price extremes where true order absorption occurs. This tool takes an entirely original approach by creating a "Rejection Profile."
It systematically scans every single bar within a defined historical window, mathematically measures the length of the upper and lower wicks, and compares them against the total range of the bar. When a wick meets a stringent, user-defined threshold, it is classified as a valid rejection. Over time, these individual rejection events are accumulated into specific price bins, forming a dense, visual heatmap.
The utility here is unparalleled for traders who rely on price action and liquidity concepts. By rendering a visual concentration of wicks, the chart immediately reveals hidden support and resistance walls that might not be evident through standard line-drawing techniques. It removes subjectivity from the process, mathematically proving where the market is consistently refusing to allow price to travel.
● 🔬 Methodology and Concepts
The core engine of this script relies on a rolling matrix computation combined with strict volatility filtering. The methodology can be broken down into several distinct logical phases:
Volatility Filtering: Before any rejection is considered, the script measures the current bar's true range against a fraction of the Average True Range (ATR). If the bar's range is too small, it is deemed market noise or chop, and is entirely ignored. This prevents tight, low-volatility consolidation from falsely inflating the rejection heatmap.
Wick Ratio Calculation: For valid bars, the script calculates the exact length of the upper wick (High minus the maximum of Open/Close) and the lower wick (minimum of Open/Close minus Low). This value is divided by the total bar range. If this ratio exceeds the minimum wick ratio threshold, a rejection event is triggered.
Price Discretization (Binning): The script continuously tracks the highest high and lowest low of the entire lookback window. It divides this total vertical price space into a user-defined number of equal-sized bins.
Rolling Matrix Accumulation: Using an advanced matrix data structure, the script logs each rejection event into its corresponding price bin. As the lookback window rolls forward in time, the oldest data is systematically overwritten by the newest data. This ensures the heatmap is constantly adapting to current market conditions without retaining stale historical data that is no longer relevant.
● 🎨 Visual Guide
The script overlays multiple layers of visual intelligence directly onto the main price chart, designed to be quickly readable without cluttering the workspace.
• The Rejection Heatmap
Projected forward from current price action, a series of horizontal boxes forms the heatmap. The vertical height of each box represents a specific price bin, while the color intensity indicates the density of rejections within that bin. Colors transition dynamically using a custom gradient. Areas with little to no rejection remain dark and transparent, while areas of extreme rejection light up in high-contrast neon tones. Each box contains a subtle text label displaying the exact number of rejection hits and its percentage relative to the most rejected level.
• Support and Resistance (S/R) Lines
The script automatically identifies the top bins with the absolute highest concentration of historical rejections. It projects dashed horizontal lines across the chart at the exact center of these bins. These lines act as major, mathematically validated support and resistance levels, highlighted in a distinct, user-defined border color.
• Directional Triangles
When an immediate price rejection occurs on the live chart, a small geometric shape is printed to alert the user:
A downward-pointing triangle above the bar indicates a significant upper wick rejection, signaling sudden selling pressure or supply absorption.
An upward-pointing triangle below the bar indicates a significant lower wick rejection, signaling sudden buying pressure or demand absorption.
• The Analytics Dashboard
A sleek, customizable table is anchored to a corner of the chart, providing a heads-up display of the current market state. It displays the active asset, the rolling window size, the current ATR, and the exact price level of the highest rejection density. Furthermore, it features a text-based ASCII progress bar showing the peak density relative to historical maximums, and a Bull/Bear Bias metric that calculates the exact ratio of upward versus downward rejections over the entire window.
● 📖 How to Use
Traders can integrate this visual framework into a variety of market approaches, primarily focusing on mean reversion, breakout confirmation, and precise risk management.
Identifying Liquidity Pools: The brightest zones on the heatmap represent areas where limit orders have historically absorbed market orders. Traders can use these glowing zones as highly probable target areas for taking profits, as price tends to gravitate toward and stall at heavy liquidity.
Validating Breakouts: If price breaks cleanly through a bright red, high-density rejection zone and closes beyond it, it indicates a significant shift in market structure. A zone that previously acted as a ceiling (supply) may now act as a floor (demand) upon a retest.
Stop Loss Placement: The automated S/R lines and high-density bins provide logical areas for stop-loss placement. Placing a stop just outside a heavy rejection bin ensures that the trade is only invalidated if the market successfully chews through a known area of heavy opposition.
Real-Time Execution: The live directional triangles can be used as immediate trigger signals when they align with the broader heatmap context. For example, an upward-pointing triangle printing exactly as price dips into a historically dense lower rejection bin provides a high-probability entry for a long position.
● ⚙️ Inputs and Settings
The script is highly customizable, allowing the user to tailor the mathematical sensitivity and visual output to their specific asset and timeframe.
• Heatmap Configuration
Window: The rolling lookback period. A larger window encompasses more macro price action, while a shorter window reacts faster to recent volatility.
Bins: Determines the vertical resolution. More bins create thinner, more granular price slices; fewer bins create wider, more generalized zones.
Min Wick Ratio: The strictness of the rejection criteria. A higher value (e.g., 0.60) requires the wick to make up at least 60% of the entire bar, filtering out weak signals.
Min Range (xATR): Filters out low-volatility bars to prevent tight consolidation from skewing the data.
Heatmap Width %: Controls how far the visual heatmap projects into the future on the right side of the chart.
• Dashboard and Visuals
Dashboard Pos: Anchors the analytics table to any corner of the chart to prevent obstruction of price action.
Top S/R Levels: Determines how many distinct dashed support/resistance lines are drawn based on the highest-ranking bins.
Use Neon Gradient: Toggles the dynamic color shading of the heatmap boxes.
• Alerts Configuration
Action Long / Action Short: Custom JSON string inputs that allow the user to format specific payloads for automated trading platforms or webhooks when a live rejection triangle prints.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
At its academic core, this tool is heavily rooted in Auction Market Theory and the statistical discretization of continuous price variables. Auction Market Theory posits that financial markets exist solely to facilitate trade between buyers and sellers, constantly probing upward and downward to find areas of liquidity (fair value). When price extends too far and encounters a massive wall of limit orders, aggressive market orders are absorbed, and price is rapidly driven back in the opposite direction. On a candlestick chart, this aggressive absorption is permanently recorded as a wick.
By systematically isolating wicks, this script is effectively reconstructing the historical limit order book imbalance. It moves away from the continuous nature of time-series data and utilizes statistical binning—a process of dividing a continuous numerical range into discrete, non-overlapping intervals (bins). This is mathematically analogous to constructing a multidimensional probability density histogram.
The underlying matrix acts as a Markovian state tracker, where the probability of future price rejection at a specific interval is inferred from the historical density of prior absorptions within that exact same interval. The application of the Average True Range (ATR) as a high-pass volatility filter ensures that the statistical sample is robust, eliminating low-amplitude noise and focusing the mathematical weight strictly on statistically significant standard deviation expansions.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Wave Structure PRO v2 [Viprasol]Wave Structure PRO v2 is an automated Elliott Wave structure engine. It builds a ZigZag from confirmed pivots, searches for a valid 1-2-3-4-5 impulse and the following A-B-C correction, validates every candidate against Elliott's three hard rules, and scores how closely each wave matches its ideal Fibonacci proportion. On top of the count it draws the Elliott base channel, Wave 3 / Wave 5 Fibonacci targets, the next-wave retrace zone, and the exact price level where the count becomes invalid.
This is a structure assistant, not a prediction oracle. Elliott counting is inherently ambiguous, and this engine recounts as new pivots confirm. Everything it shows is derived from confirmed swing points, and it tells you honestly when no valid count exists.
HOW IT WORKS
ZigZag Pivot Engine:
Swing highs and lows are detected with a symmetric pivot window (default 8 bars left and right). A pivot only enters the structure after it is confirmed, and consecutive same-direction extremes are merged so the ZigZag always alternates high-low-high-low. The engine keeps the most recent 32 pivots as its working structure.
Sliding-Window Count Search:
The engine scans across the entire pivot structure for the most recent valid count — it does not require the pattern to end exactly at the newest pivot. A completed impulse whose correction is still developing stays on the chart and is marked "prior" in the panel, so a single awkward swing at the right edge does not wipe the analysis. At each candidate position a full 9-pivot impulse + A-B-C structure is preferred over a 6-pivot impulse alone.
Hard-Rule Validation:
Every candidate impulse must pass Elliott's three non-negotiable rules before it is accepted:
1. Wave 2 never retraces more than 100% of Wave 1
2. Wave 3 is never the shortest among Waves 1, 3, and 5
3. Wave 4 never enters the price territory of Wave 1
The A-B-C correction is additionally validated for direction and structure (B stays below the impulse extreme, C extends beyond A).
Fibonacci Quality Score:
Each wave is measured against its textbook ideal — Wave 2 near 0.5-0.618 of Wave 1, Wave 3 extending 1.618+ of Wave 1, Wave 4 near 0.382 of Wave 3, Wave 5 near equality with Wave 1. The four fits combine into a 0-100 "textbook fit" score. Extended fifth waves are scored against the alternative ideal of 0.618 x (Wave 1 + Wave 3), so a legitimately extended fifth is recognized instead of being punished, and the panel flags it as "extended 5th".
Invalidation Level:
For every accepted count the engine draws the price at which the structure stops being valid — a correction that retraces 100% of the impulse start invalidates the count. The exact level is shown on the chart, in the panel, and in the data window, giving you an objective line in the sand instead of a subjective opinion.
Alternation Check:
Waves 2 and 4 are compared as retracements of Wave 1 — when their depths differ meaningfully the panel confirms the alternation guideline is present, and shows an explicit "absent" flag when it is not.
KEY FEATURES
- Automatic 1-5 impulse and A-B-C correction detection with wave labels on the chart
- Sliding-window search — finds the most recent valid count anywhere in the structure, marked "prior" when its final pivot is not the newest swing
- Elliott's 3 hard rules enforced on every count — invalid structures are never labeled
- 0-100 Fibonacci quality score with per-wave ratio annotations at each pivot
- Extended fifth wave recognition with alternative 0.618 x (W1+W3) scoring path
- On-chart invalidation level with price label
- Elliott base channel (2-4 trendline with parallel through Wave 3)
- Wave 3 and Wave 5 Fibonacci extension targets with configurable multiples
- Next-wave retrace target zone (0.382-0.618 of the full impulse)
- Analysis panel: count state, quality, all four wave ratios, alternation, rule status, invalidation price
- Data-window outputs (quality, direction, stage, invalidation) usable by strategies and screeners via input.source
- Transition-based alerts that fire on state changes, not on every pivot refresh
HOW TO USE
Setup:
1. Add to any chart — works on all markets and timeframes
2. Use a standard candlestick chart (not Heikin Ashi)
3. Tune "Swing Sensitivity" to the wave degree you trade: higher values = larger-degree waves, lower values = smaller subdivisions
4. Defaults (sensitivity 8) suit 1H-4H charts on liquid instruments
Reading the Chart:
- Numbered labels 1-5 mark the impulse pivots; A-B-C labels mark the correction (orange)
- Small ratio numbers at pivots 2, 3, 4, 5 show each wave's Fibonacci proportion
- Dotted / dashed blue lines = Wave 3 and Wave 5 extension targets
- Cyan channel = Elliott base channel projected forward
- Purple box = expected retrace zone for the next corrective wave
- Red line = invalidation level; if price crosses it, the count is wrong
- Panel header: up/down arrow shows count direction; "prior" means the count completed before the newest swing
Reading the Panel:
- Quality 70+ = clean textbook structure; below 50 = forced fit, treat with caution
- "NO COUNT" genuinely means no valid structure exists right now — the engine never shows leftover metrics from a dead count
- The Invalidation row gives the exact price that voids the current count
SETTINGS
ZigZag: Swing sensitivity (pivot bars left/right), ZigZag visibility and color.
Waves: Wave label toggles for 1-5 and A-B-C, bullish/bearish/corrective colors, label size.
Fibonacci & Quality: Ratio annotations toggle, target visibility, Wave 3 and Wave 5 extension multiples, target color.
Channel & Target Zone: Base channel toggle and color, retrace zone toggle and color.
Invalidation: Level visibility and color.
Analysis Panel: Show/hide, position.
Alerts: Quality threshold for the high-quality alert, dynamic alert() messages toggle.
ALERTS
1. Count found — a new valid wave count appeared (fires once per count, not on every pivot extension)
2. Count invalidated — the active count stopped being valid
3. 1-5 + A-B-C complete — the correction finished, full cycle in place
4. High-quality count — a new count scored above your quality threshold
With "Dynamic alert() Messages" enabled, alert() notifications include the symbol, timeframe, direction, quality score, and invalidation price. Create the alert with condition "Any alert() function call".
LIMITATIONS & DISCLAIMER
- Elliott Wave counting is subjective by nature; this engine applies one rigorous, rule-based interpretation and recounts as new pivots confirm
- Pivots confirm with a delay equal to the swing sensitivity — labels appear after the swing completes, never in real time at the extreme
- The count can change when a developing swing extends; the transition alerts are designed around this, firing on genuine state changes only
- Wave degree is determined by your sensitivity setting; the engine does not track multiple degrees simultaneously
- Quality scoring measures Fibonacci proportion fit, not probability of continuation
- This indicator is for educational and analytical purposes only — it is not financial advice. Always use proper risk management.
ORIGINALITY
All code is original Viprasol work. Elliott Wave theory itself is public knowledge (R.N. Elliott); no third-party script was reused. v2 supersedes Wave Structure PRO with a stale-state fix, sliding-window count search, invalidation levels, extended-fifth scoring, data-window outputs, and transition-based alerts. Indicator
Smart Money Concepts Engine [Quantum Algo]Smart Money Concepts Engine
====================================================
🔶 OVERVIEW
Smart Money Concepts Engine is an all-in-one smart money concepts (SMC) indicator that unifies market structure, order blocks, fair value gaps with inversions, liquidity, and premium and discount analysis into a single engine — and then goes one layer deeper than drawing tools: it scores the confluence of everything on the chart into a transparent zero-to-one-hundred Confluence Score, and narrates the current market read in plain language on a live dashboard.
Most smart money indicators draw concepts and leave the interpretation to you. This engine interprets. At any moment the dashboard answers the questions an institutional-style trader actually asks: What is the structure doing on both tiers? Has liquidity been taken? Is price in premium or discount? Are there fresh zones nearby? How much of this stacks together right now?
🔶 WHAT ARE SMART MONEY CONCEPTS?
Smart money concepts describe how large market participants leave footprints in price: they break structure to reveal intent (Break of Structure and Change of Character), they enter from unmitigated zones of prior aggression (order blocks), they leave imbalances behind fast moves (fair value gaps), they engineer stop runs above equal highs and below equal lows (liquidity sweeps), and they favor buying in the discount half of a range and selling in the premium half. This engine detects, draws, and tracks the life cycle of every one of these elements.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. Confluence Score. A transparent zero-to-one-hundred score built from five weighted, observable conditions: swing and internal structure alignment (25), correct premium or discount positioning for the bias (25), a fresh order block near price (20), imbalance confluence (15), and a recent liquidity sweep in the supportive direction (15). Every point is explainable — nothing is a black box.
2. Narrative engine. The dashboard writes the market read as a plain-language story that updates live, for example: "Bullish structure — sell-side taken — price in discount — demand below." No interpretation gap between what the chart shows and what it means.
3. Zone life cycle everywhere. Order blocks are born fresh, brighten when tested, and are removed the moment they are mitigated — the chart only ever shows zones that still matter. Fair value gaps flip into inversion zones when violated and are removed on the second violation. Equal highs and equal lows are struck through and relabeled the moment they are swept.
4. Volume-graded zones. Every order block is labeled with the relative volume of its origin candle (for example "Demand · 1.8× Volume"), so zone quality is visible at a glance.
5. Dual-tier structure. Swing structure (Break of Structure and Change of Character with lines and labels) and internal structure (compact context markers) are tracked as two independent bias states — and their agreement or disagreement feeds the score.
6. Graded zone-tap signals. When price returns to a fresh zone while both structure tiers align and price sits on the correct side of equilibrium, the engine prints a signal stamped with the live Confluence Score. High-scoring signals are highlighted in the accent color.
7. Anti-clutter engineering. Sweep detection carries per-level memory and a cooldown so the same level can never stack duplicate labels. Every drawing family is capped by input, keeping the chart readable and the auto-scale anchored to current price.
🔶 HOW IT WORKS
Market structure: Swing highs and lows are confirmed with a symmetric pivot lookback. A candle close through a confirmed swing level prints a Break of Structure (BoS) in trend continuation or a Change of Character (CHoCH) on reversal, on both the swing tier and the internal tier. All events are evaluated on closed bars only, so structure and signals do not repaint.
Order blocks: On every swing structure break, the engine locates the origin candle of the move — the last opposite candle before the impulse — and projects it forward as a demand or supply zone, graded by the relative volume of that candle. Zones brighten on first touch and are removed when price closes through them.
Fair value gaps: Three-candle imbalances above a minimum size (measured in Average True Range) are boxed. When price closes through a gap, it flips into an inversion zone acting in the opposite direction; a second violation removes it. Gap detection runs in the background for the Confluence Score even when drawing is disabled.
Liquidity: Consecutive swing highs or lows within a tolerance form Equal Highs (EQH) or Equal Lows (EQL) — resting liquidity lines that follow price. A wick through the level with a close back inside marks a sweep: the line is struck through, relabeled, and the event feeds the score. Single-pivot stop hunts are detected the same way, with per-level memory preventing duplicates.
Premium and discount: The range between the last confirmed swing high and low is mapped into premium, equilibrium, and discount, with deeper tinting in the extreme quartiles. The dashboard reports the live position as a percentage of the range.
Dashboard: A compact, fully themeable panel shows swing bias, internal bias, last event, range position, liquidity status, fresh demand and supply counts, imbalance count, the Confluence Score with a strength meter, and the narrative. Text size, position, and every color are adjustable, and long narrative text wraps inside its cell to keep the panel compact.
🔶 HOW TO USE IT
1. Works on any market — cryptocurrency, forex, gold, indices, stocks, futures — and any timeframe. The engine adapts structure size through the swing and internal length inputs.
2. Read the dashboard top to bottom: bias on both tiers, what just happened, where price sits in the range, and whether liquidity has been taken.
3. The highest-quality condition is full alignment: both tiers agree, a sweep has occurred against the move, price trades on the correct side of equilibrium, and a fresh volume-graded zone waits nearby — exactly what the Confluence Score measures.
4. Treat zone-tap signals as locations of interest stamped with their context quality, not as automatic entries. A score above eighty means nearly everything aligns; below fifty means the setup is thin.
5. Use inversion zones as polarity flips: a violated imbalance often acts as support or resistance from the other side.
6. Fair value gap drawing is off by default for a cleaner chart; enable it in settings — the score uses gap information either way.
🔶 SETTINGS
- Swing and internal structure lengths, structure events to keep.
- Order blocks: origin candle lookback and zones to keep.
- Fair value gaps: minimum size, inversion tracking, gaps to keep (drawing off by default).
- Liquidity: equal level tolerance and levels to keep.
- Premium and discount map with adjustable extension.
- Zone tap signals and signals to keep.
- All chart colors, plus a fully themeable dashboard: position, four text sizes, title band, background, frame, grid, and three text colors.
🔶 ALERTS
- Bullish / Bearish Break of Structure
- Bullish / Bearish Change of Character
- Buy-Side / Sell-Side Liquidity Sweep
- Demand Zone Tap / Supply Zone Tap (score-stamped)
- Fair Value Gap Inversion
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? No. Structure events, sweeps, inversions, and signals are evaluated on closed bars at confirmed pivots. Pivot confirmation introduces intentional lag equal to the structure length.
What does the Confluence Score mean? It is a transparent sum of five weighted conditions, not a prediction. It measures how much of the smart money checklist is currently aligned — a context meter, not a probability of profit.
Why did an order block disappear? It was mitigated: price closed through it. The engine removes dead zones so the chart only shows levels that still matter.
Why do sweeps print only once at a level? Each swing level carries sweep memory and a cooldown, preventing the duplicate label stacking common in liquidity tools.
Which markets and timeframes work best? All markets with candle data. Higher timeframes produce larger, cleaner structures; the internal tier keeps lower timeframes readable.
🔶 CREDITS
The smart money concepts implemented here — order blocks, fair value gaps, liquidity sweeps, break of structure, change of character, and premium and discount — are trading concepts popularized by the Inner Circle Trader methodology of Michael J. Huddleston, with intellectual roots in the market logic of Richard D. Wyckoff. This script gratefully acknowledges that lineage. The confluence scoring model, the narrative engine, the zone life cycle system, the volume grading, the anti-duplication sweep memory, and all code in this script are original work
🔶 LIMITATIONS
Structure detection is only as good as the chosen pivot lengths; very noisy instruments may need larger values. Volume grading is less meaningful on symbols with unreliable volume reporting. Removed zones are not kept as historical artifacts. The Confluence Score measures alignment, not outcome. No indicator replaces independent analysis.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any structure event, zone, or signal does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently. Indicator
Fair Value Gap (FVG) Supply & Demand Zones [JPT]🔷 OVERVIEW
Fair Value Gap (FVG) Supply & Demand Zones is a market structure indicator that automatically detects Fair Value Gaps (FVGs) together with Supply and Demand Zones to help traders identify potential areas where price may react.
The indicator continuously scans price action for imbalance formations and plots dynamic zones directly on the chart. When price revisits these areas, the indicator highlights potential reaction zones while displaying LONG and SHORT signals based on its programmed logic.
Designed with a clean visual layout, the indicator helps traders monitor market structure without manually drawing imbalance or supply and demand zones.
🔷 HOW IT WORKS
The indicator continuously analyzes price action to identify market imbalances and institutional trading zones.
When qualifying conditions are met, it automatically:
• Detects Bullish Fair Value Gaps (FVG)
• Detects Bearish Fair Value Gaps (FVG)
• Identifies Demand Zones
• Identifies Supply Zones
• Tracks active zones until they are mitigated
• Displays LONG and SHORT signals according to the indicator's programmed conditions
• Updates zones dynamically as new market structure develops
This provides traders with a structured view of areas where price may revisit before continuing or changing direction.
📈 Bullish Demand Setup
1. A bullish imbalance creates a Fair Value Gap.
2. A Demand Zone is established.
3. Price retraces into the zone.
4. The indicator highlights the area and may display a LONG signal when its programmed conditions are satisfied.
📉 Bearish Supply Setup
1. A bearish imbalance creates a Fair Value Gap.
2. A Supply Zone is established.
3. Price revisits the supply area.
4. The indicator highlights the zone and may display a SHORT signal when its programmed conditions are satisfied.
📊 Dynamic Market Structure
Throughout changing market conditions, the indicator continuously updates:
• Bullish Fair Value Gaps
• Bearish Fair Value Gaps
• Supply Zones
• Demand Zones
• LONG Signals
• SHORT Signals
This helps traders monitor developing market structure in real time.
🔷 VISUAL FEATURES
• Automatic Fair Value Gap Detection
• Automatic Supply Zone Detection
• Automatic Demand Zone Detection
• Dynamic Zone Updates
• LONG & SHORT Signal Labels
• Historical Zone Display
• Customizable Colors
• Clean Chart Layout
• Real-Time Market Structure Updates
• Confirmed Calculation Logic
🔷 INPUTS
The indicator includes customizable settings for:
• Fair Value Gap Detection Length
• Supply & Demand Sensitivity
• Zone Extension
• Maximum Number of Zones
• Show LONG Signals
• Show SHORT Signals
• Color Settings
• Historical Zone Display
🔷 USAGE
A common workflow is:
• Monitor newly created Fair Value Gaps.
• Observe active Supply and Demand Zones.
• Watch for price revisiting these areas.
• Use LONG or SHORT signals together with your own market structure and confirmation techniques.
• Apply appropriate risk management before entering any trade.
The indicator is intended to support technical analysis and can be combined with additional tools such as trend analysis, support and resistance, volume, or candlestick confirmation.
🔷 MARKETS
The indicator can be applied to:
• Forex
• Gold (XAUUSD)
• Silver
• Cryptocurrency
• Stocks
• Indices
• Commodities
It is designed to adapt to multiple markets and can be used for intraday, swing, or longer-term analysis.
🔷 IDEAL TIMEFRAMES
Recommended timeframes include:
• 15 Minute
• 30 Minute
• 1 Hour
• 2 Hour
• 4 Hour
• Daily
Higher timeframes generally produce more significant market structure zones, while lower timeframes provide more frequent trading opportunities.
🔷 BEST PRACTICES
Many traders combine this indicator with:
• Market Structure Analysis
• Trend Direction
• Support & Resistance
• Liquidity Analysis
• Volume
• Candlestick Confirmation
• Risk Management Rules
Using multiple forms of analysis can help provide additional context when evaluating potential trading opportunities.
🔷 DISCLAIMER
This indicator is designed as a technical analysis tool and does not predict future market movements. Fair Value Gaps, Supply Zones, Demand Zones, and LONG or SHORT signals are generated according to the indicator's programmed logic and should be used alongside your own market analysis and risk management. No indicator can guarantee profitable trading results.
Developed by Jos-ProTrader (JPT) Indicator
Indicator
SMT Sniper Entry Engine [trade_w_samet]🎯 SMT Sniper Entry Engine
SMT Sniper Entry Engine is a structured correlated-market divergence and confirmation indicator designed to help traders study liquidity sweeps, SMT divergence, reclaim quality, pair correlation, external-range location, displacement, Fair Value Gap evidence, micro-structure confirmation, and permanent bar-close UP or DOWN signals through one coordinated workflow.
The script is built around one central idea:
An SMT divergence should not automatically become an entry signal.
Instead of treating every difference between two correlated markets as equally meaningful, the engine first identifies a one-market liquidity sweep, then evaluates reclaim behavior, ATR-normalized sweep depth, candle direction, rejection quality, range expansion, pair correlation, external-range location, and divergence separation before the SMT event is accepted.
A qualified SMT event still does not create an immediate final signal.
The accepted SMT event arms a temporary confirmation sequence.
The engine then waits for directional displacement, a confirmed break of the SMT candle, and the additional evidence required by the active Engine Preset before a permanent UP or DOWN label is printed.
The indicator includes:
• Automatic comparison-symbol selection for supported metals, indices, cryptocurrencies, forex majors, and common forex crosses
• Manual comparison-symbol mode
• Same-timeframe comparison-market data
• Closed-bar rolling liquidity references
• Current-bar-close SMT divergence detection
• Either-market sweep acceptance
• Same-bar liquidity reclaim validation
• ATR-normalized sweep-depth measurement
• Chart-candle direction filtering
• Rejection-close filtering
• Minimum range-expansion filtering
• Separate bullish and bearish 0–100 Base Quality Scores
• Log-return pair-correlation analysis
• External-range location filtering
• ATR-normalized divergence-separation analysis
• Separate bullish and bearish 0–100 Sniper Scores
• Standard, Sniper, and Elite Engine Presets
• A temporary eight-bar confirmation window
• Sequential evidence accumulation across separate closed candles
• Directional displacement confirmation
• SMT-candle break confirmation
• Fair Value Gap confirmation
• Micro-structure break confirmation
• ATR-buffered setup invalidation
• Setup expiration
• Directional SMT cooldown
• Final signal cooldown
• One final UP or DOWN signal per completed SMT sequence
• Minimal historical SMT markers
• Dotted historical SMT reference lines
• Blue UP and orange DOWN labels
• Adjustable UP / DOWN label size
• Signal-confirming FVG boxes
• Recent-only chart-object
• A premium bottom-right dashboard
• Static PulseWire alert conditions
• Combined dynamic alert() support
• “Any alert() function call” compatibility
• Data Window diagnostics
• Confirmed-close permanent signals
• No pivot functions
• No future-bar confirmation
• No historical signal backplotting
The purpose of this script is to provide a structured way to study when a correlated-market divergence is supported by sufficient liquidity, correlation, location, reaction, and confirmation evidence.
It is not financial advice.
It is not an automated trading system.
It does not guarantee profitable trades.
It does not execute broker orders.
It does not calculate position size.
It does not include a built-in TP / SL trade-management engine.
It does not provide verified win-rate or profitability statistics.
It does not replace independent analysis, execution planning, or risk management.
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📌 OVERVIEW
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At a high level, SMT Sniper Entry Engine does the following:
• Selects a comparison market automatically or manually.
• Requests the comparison market’s open, high, low, close, and ATR data on the chart timeframe.
• Builds rolling liquidity references from already completed candles.
• Checks whether only one market swept its corresponding liquidity reference.
• Requires the sweeping market to reclaim the reference on the same completed candle.
• Measures sweep depth relative to ATR.
• Evaluates chart-candle direction.
• Evaluates the candle’s closing position.
• Evaluates minimum range expansion relative to ATR.
• Produces separate bullish and bearish 0–100 Base Quality Scores.
• Measures the relationship between chart and comparison-market returns.
• Evaluates whether bullish SMT appears near the lower portion of the external range.
• Evaluates whether bearish SMT appears near the upper portion of the external range.
• Measures how clearly the non-sweeping market held its own liquidity reference.
• Produces separate bullish and bearish 0–100 Sniper Scores.
• Applies Standard, Sniper, or Elite acceptance thresholds.
• Confirms a qualified SMT event only after the current candle closes.
• Arms a temporary sequential confirmation window.
• Accumulates displacement, SMT-candle break, FVG, and structure evidence.
• Invalidates the setup if price closes beyond the SMT extreme by the stored ATR buffer.
• Expires the setup when confirmation does not arrive inside the available window.
• Applies final signal cooldown protection.
• Prints a permanent blue UP or orange DOWN label only after every required condition is confirmed.
• Optionally draws the FVG associated with the final signal.
• Displays current engine state, comparison symbol, correlation, active score, and signal counts in the dashboard.
• Provides separate static alert conditions.
• Provides one combined dynamic final-signal alert workflow.
• Exposes internal diagnostic values through PulseWire’s Data Window.
The indicator does not use machine-learning prediction.
Its scores are not probabilities.
Its signal counts are not wins and losses.
Its labels do not promise future direction.
The script is a rule-based educational framework that explains how a raw correlated-market divergence becomes an accepted, rejected, invalidated, expired, or finally confirmed setup.
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🧠 CORE IDEA
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The core idea behind SMT Sniper Entry Engine is that two markets with a meaningful positive relationship do not always take corresponding liquidity at the same time.
When one market trades beyond a prior liquidity reference while the other market holds its own reference, the difference can create an SMT divergence.
However, the divergence alone contains limited information.
A basic SMT event does not automatically explain:
• whether the sweep was meaningful relative to volatility
• whether the sweeping market reclaimed the reference
• whether the chart candle closed with directional rejection
• whether the candle range expanded enough to matter
• whether the selected markets remain sufficiently correlated
• whether the event occurred near a useful external-range location
• whether the non-sweeping market clearly held its own level
• whether price produced directional displacement afterward
• whether the SMT candle was actually broken
• whether an FVG or micro-structure break confirmed the reaction
• whether the setup remained valid during the confirmation window
• whether another recent final signal is still inside the cooldown period
The engine therefore uses a staged sequence:
comparison-market selection
→ closed-bar liquidity references
→ one-market sweep
→ same-bar reclaim
→ Base Quality Score
→ pair-correlation validation
→ external-range location
→ divergence-separation validation
→ Sniper Score
→ confirmed SMT event
→ temporary setup arming
→ sequential reaction evidence
→ invalidation or expiration control
→ permanent UP or DOWN signal
For bullish conditions, the engine studies prior-low liquidity, bullish rejection, lower external-range location, directional displacement, a close above the SMT candle high, and bullish confirmation evidence.
For bearish conditions, the same process is mirrored around prior highs.
The purpose is not to produce the largest possible number of signals.
The purpose is to make the acceptance process selective, visible, and understandable.
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🧩 WHY THIS SCRIPT IS NOT A SIMPLE BUY/SELL INDICATOR
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SMT Sniper Entry Engine is not designed to be used as a blind signal generator.
A raw correlated-market divergence must move through multiple stages:
One market sweeps liquidity
→ the comparison market does not make the same sweep
→ the sweeping market reclaims its reference
→ sweep depth is evaluated
→ chart-candle direction is checked
→ rejection-close quality is checked
→ range expansion is checked
→ the Base Quality Score is calculated
→ pair correlation is checked
→ external-range location is checked
→ divergence separation is checked
→ the Sniper Score is calculated
→ the SMT event is accepted
→ the confirmation window opens
→ directional displacement is accumulated
→ the SMT candle must be broken
→ FVG and/or micro-structure evidence is accumulated
→ the setup must avoid invalidation
→ the setup must confirm before expiration
→ the final UP or DOWN label appears
Each module serves a different purpose.
The comparison engine defines the external market used for SMT analysis.
The liquidity engine identifies the one-market sweep.
The reclaim engine checks whether the liquidity event closed back inside the reference.
The Base Quality Score evaluates the completed SMT candle.
The Sniper Context Engine evaluates correlation, location, separation, and sweep quality.
The sequential confirmation engine evaluates what price does after the SMT event.
The invalidation and expiration controls remove setups that no longer satisfy the intended sequence.
The dashboard explains the current engine state.
This makes the script a coordinated SMT-confirmation workflow rather than a simple divergence marker.
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⚙️ HOW THE SCRIPT WORKS
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The script operates through connected calculation stages.
First, the engine selects a comparison symbol.
Auto mode uses the built-in symbol matrix.
Manual mode uses the symbol selected by the user.
The comparison market is requested on the same timeframe as the chart.
= request.security(
comparisonSymbol,
timeframe.period,
,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_off,
ignore_invalid_symbol = true)
The request uses lookahead_off.
The engine then calculates rolling chart and comparison-market liquidity references while excluding the current candle.
float chartPriorLow = ta.lowest(low , referenceLookback)
float chartPriorHigh = ta.highest(high , referenceLookback)
float comparisonPriorLow = ta.lowest(comparisonLow , referenceLookback)
float comparisonPriorHigh = ta.highest(comparisonHigh , referenceLookback)
The default reference lookback is 12 bars.
A bullish divergence is possible when one market sweeps a prior low and the other market does not.
A bearish divergence is possible when one market sweeps a prior high and the other market does not.
The sweeping market must reclaim the level on the same completed candle.
The candidate is then evaluated through:
• ATR-normalized sweep depth
• chart-candle direction
• close location
• range expansion
• Base Quality Score
• pair correlation
• external-range location
• divergence separation
• Sniper Score
• directional cooldown
When the SMT event is accepted, the engine stores:
• setup direction
• SMT bar
• SMT extreme
• SMT reaction trigger
• current ATR
• Base Quality Score
• Sniper Score
• sequential evidence states
• first confirmed FVG coordinates
The engine then monitors the next closed candles.
A final signal is accepted only when the active preset’s required evidence is present and the setup has not invalidated or expired.
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🟢 BULLISH SMT LOGIC
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A bullish SMT candidate begins at prior lows.
The engine checks the chart symbol and comparison market together.
A bullish sweep divergence exists when either:
• the chart symbol trades below its prior low while the comparison market does not trade below its corresponding prior low
• the comparison market trades below its prior low while the chart symbol does not trade below its corresponding prior low
The engine accepts a sweep from either market.
The sweeping market must reclaim the prior-low reference when reclaim validation is active.
The completed chart candle must also satisfy the active quality requirements.
The default Sniper profile evaluates:
• sufficient ATR-normalized sweep depth
• bullish chart-candle direction
• a close in the stronger portion of the candle
• minimum candle-range expansion
• minimum Base Quality Score
• minimum positive pair correlation
• location near the lower portion of the external range
• minimum divergence separation
• minimum Sniper Score
• directional SMT cooldown availability
bool bullishSmtEvent =
bullishRawSmtCandidate and
bullishSniperPass and
bullishCooldownPass
When the bullish SMT event is confirmed, the engine stores:
• the SMT low as the bullish invalidation extreme
• the SMT high as the bullish reaction-break trigger
• the current ATR
• the current Base Quality Score
• the current Sniper Score
The confirmation sequence then waits for:
• bullish displacement
• a close above the SMT candle high
• FVG and/or micro-structure evidence according to the active preset
The bullish SMT marker is context.
The final blue UP label is the completed signal.
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🔴 BEARISH SMT LOGIC
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A bearish SMT candidate begins at prior highs.
A bearish sweep divergence exists when either:
• the chart symbol trades above its prior high while the comparison market does not trade above its corresponding prior high
• the comparison market trades above its prior high while the chart symbol does not trade above its corresponding prior high
The sweeping market must reclaim the prior-high reference when reclaim validation is active.
The completed chart candle must also satisfy the active quality requirements.
The default Sniper profile evaluates:
• sufficient ATR-normalized sweep depth
• bearish chart-candle direction
• a close in the weaker portion of the candle
• minimum candle-range expansion
• minimum Base Quality Score
• minimum positive pair correlation
• location near the upper portion of the external range
• minimum divergence separation
• minimum Sniper Score
• directional SMT cooldown availability
When the bearish SMT event is confirmed, the engine stores:
• the SMT high as the bearish invalidation extreme
• the SMT low as the bearish reaction-break trigger
• the current ATR
• the current Base Quality Score
• the current Sniper Score
The confirmation sequence then waits for:
• bearish displacement
• a close below the SMT candle low
• FVG and/or micro-structure evidence according to the active preset
The bearish SMT marker is context.
The final orange DOWN label is the completed signal.
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💎 SMT QUALITY FILTER SYSTEM
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The script calculates separate bullish and bearish Base Quality Scores.
The score evaluates the completed SMT candle and its underlying liquidity event.
Each score is limited to 0–100.
The components are:
Sweep Role — maximum 25 points
The event must contain a valid one-market liquidity sweep.
Only one market should take the corresponding prior high or prior low.
Reclaim — maximum 20 points
The sweeping market must close back inside its prior liquidity reference.
Sweep Depth — maximum 20 points
The distance beyond the reference is measured relative to the corresponding market’s ATR.
Chart Candle Direction — maximum 15 points
Bullish SMT prefers a bullish chart candle.
Bearish SMT prefers a bearish chart candle.
Rejection Close — maximum 10 points
Bullish SMT prefers the chart close toward the high of the candle.
Bearish SMT prefers the chart close toward the low.
Range Expansion — maximum 10 points
The chart candle’s total range is compared with chart ATR.
The total score structure is:
25 + 20 + 20 + 15 + 10 + 10 = 100 points.
Preset-dependent minimum Base Quality Scores are:
• Standard: 60
• Sniper: 75
• Elite: 85
The Base Quality Score is not a win rate.
It is not a probability.
It measures how closely the completed SMT event matches the engine’s liquidity and candle-quality framework.
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📏 VOLATILITY / ATR NORMALIZATION FILTER
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The indicator uses ATR normalization to compare distances across changing volatility conditions.
ATR normalization is applied to:
• chart-side sweep depth
• comparison-side sweep depth
• divergence separation
• displacement body size
• setup invalidation buffer
• chart-candle range expansion
Sweep depth is calculated in relation to the ATR of the market that performed the sweep.
For example:
Chart Sweep Depth = distance beyond chart reference / chart ATR.
Comparison Sweep Depth = distance beyond comparison reference / comparison ATR.
Preset-dependent minimum sweep depth is:
• Standard: 0.04 ATR
• Sniper: 0.10 ATR
• Elite: 0.18 ATR
The chart candle must also meet a minimum range-to-ATR requirement:
• Standard: 0.40 ATR
• Sniper: 0.60 ATR
• Elite: 0.85 ATR
The setup invalidation buffer is based on the ATR stored when the SMT event occurs.
The default buffer is 0.10 ATR beyond the SMT extreme.
ATR normalization helps reduce dependence on raw price units.
It does not make one configuration universal.
Different symbols, sessions, data feeds, and market conditions can still produce different behavior.
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🕯️ DISPLACEMENT QUALITY FILTER
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After an SMT event is accepted, the engine requires directional displacement before a final signal can appear.
A bullish displacement candle requires:
• a confirmed closed candle
• close above open
• body size of at least 0.45 ATR
• body-to-range ratio of at least 0.55
• upper wick no greater than 0.35 of the full candle range
A bearish displacement candle requires:
• a confirmed closed candle
• close below open
• body size of at least 0.45 ATR
• body-to-range ratio of at least 0.55
• lower wick no greater than 0.35 of the full candle range
bool bullishDisplacement =
barstate.isconfirmed and
close > open and
signalCandleBody >= chartAtr * displacementBodyAtr and
signalBodyRatio >= displacementBodyPercent and
bullishOppositeWickRatio <= maximumOppositeWickPercent and
bullishPreviousBreakPass
The bearish process is mirrored.
The previous-bar break option is disabled in the locked default engine.
The more important directional reaction requirement is the SMT-candle break.
Displacement confirms that the market produced a completed directional response after the SMT event.
It does not guarantee continuation.
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📊 REACTION STRENGTH FILTER
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The engine does not require every confirmation component to appear on the same candle.
Instead, reaction evidence can accumulate across separate closed candles inside the temporary confirmation window.
The engine tracks:
• displacement
• SMT-candle break
• Fair Value Gap
• micro-structure break
Bullish SMT-candle break:
• price must close above the stored SMT candle high
Bearish SMT-candle break:
• price must close below the stored SMT candle low
Bullish FVG:
• current low is above the high from two bars earlier
Bearish FVG:
• current high is below the low from two bars earlier
Bullish micro-structure break:
• current close exceeds the highest high from the previous five closed bars
Bearish micro-structure break:
• current close falls below the lowest low from the previous five closed bars
Evidence is persistent while the setup remains active.
For example:
SMT event
→ displacement appears
→ FVG appears later
→ structure break appears on another candle
→ final signal confirms
The active Engine Preset determines which accumulated evidence is required.
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🧼 CONFIRMED SIGNAL FILTER
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Permanent SMT events and final UP / DOWN labels wait for candle close.
The engine uses confirmed-bar checks for:
• raw SMT candidates
• final SMT acceptance
• displacement
• FVG detection
• micro-structure breaks
• setup invalidation
• final UP signals
• final DOWN signals
The comparison-market request uses lookahead_off.
Rolling liquidity references exclude the current candle.
No future candle is used to decide whether the current candle contains an SMT event.
No final signal is plotted back onto the original SMT candle after later evidence becomes available.
The confirmation opportunity is temporary.
The default window is eight bars.
The minimum delay is one bar after the SMT event.
If the active evidence does not complete in time, the setup expires.
Historical output can still change when:
• Engine Preset changes
• comparison symbol changes
• Auto or Manual mode changes
• chart symbol changes
• timeframe changes
• exchange or broker feed changes
• historical data is revised
• the loaded history range changes
Confirmed-close logic prevents unfinished-candle conditions from becoming permanent chart signals.
It does not mean all brokers or data feeds will produce identical historical output.
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🎯 ENTRY MODEL
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SMT Sniper Entry Engine uses a confirmed-signal entry model rather than a built-in broker-order model.
A final directional setup is created only when:
• a qualified SMT event exists
• the confirmation window is open
• the setup has not invalidated
• all preset-required evidence has been accumulated
• final signal cooldown is available
• the current candle is confirmed
The final signal reference is the close of the candle where the UP or DOWN label is printed.
For an UP setup:
• the label appears below the confirmed signal candle
• the signal represents completed bullish SMT confirmation
For a DOWN setup:
• the label appears above the confirmed signal candle
• the signal represents completed bearish SMT confirmation
The script does not automatically calculate:
• an entry line
• a stop-loss level
• take-profit targets
• position size
• account risk
• broker quantity
• trade outcome
The final signal-bar close can be used as an analytical reference.
It is not a guaranteed fill.
Users must define their own execution, invalidation, stop, target, and risk model.
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🔗 COMPARISON MARKET MODEL
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The indicator supports Auto and Manual comparison-symbol modes.
Auto mode recognizes common ticker text and assigns a predefined positively related market.
Built-in mappings include:
Metals
• XAU or GOLD → OANDA:XAGUSD
• XAG or SILVER → OANDA:XAUUSD
Indices
• NAS, US100, USTEC, NDX, or NQ → OANDA:SPX500USD
• SPX, US500, SP500, or ES → OANDA:NAS100USD
• US30, DJI, DOW, or YM → OANDA:SPX500USD
Cryptocurrencies
• BTC → BINANCE:ETHUSDT
• ETH → BINANCE:BTCUSDT
Forex majors
• EURUSD ↔ GBPUSD
• AUDUSD ↔ NZDUSD
• USDCAD ↔ USDCHF
• USDJPY → CADJPY
JPY crosses
• EURJPY ↔ GBPJPY
• AUDJPY ↔ NZDJPY
• CADJPY → USDJPY
• CHFJPY → EURJPY
EUR and GBP crosses
• EURAUD ↔ GBPAUD
• EURNZD ↔ GBPNZD
• EURCAD ↔ GBPCAD
• EURCHF ↔ GBPCHF
• EURGBP → GBPUSD
AUD and NZD crosses
• AUDCAD ↔ NZDCAD
• AUDCHF ↔ NZDCHF
• AUDNZD → NZDUSD
Auto mode is based on ticker-name recognition.
Broker symbols can include prefixes, suffixes, futures contract codes, or synthetic names that are not recognized by the built-in matrix.
When the chart symbol is not recognized, the engine can fall back to the Manual Comparison Symbol value.
The dashboard should therefore be checked before relying on Auto mode.
Manual mode allows the user to select the comparison market directly.
The current engine is designed for positively correlated relationships.
Selecting an inversely related market can make the correlation and SMT logic unsuitable.
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🎯 SNIPER SCORE MODEL
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The engine produces separate bullish and bearish Sniper Scores.
The Sniper Score evaluates broader context around the SMT event.
The maximum score is 100.
The structure is:
Base SMT Quality — maximum 35 points
The 0–100 Base Quality Score contributes 35% of its value.
Pair Correlation — maximum 25 points
Positive effective correlation contributes proportionally.
External-Range Location — maximum 20 points
Bullish SMT receives this component when it occurs below the active maximum bullish range position.
Bearish SMT receives this component when it occurs above the active minimum bearish range position.
Divergence Separation — maximum 10 points
The event receives this component when the non-sweeping market holds its reference by at least the required ATR-normalized distance.
Sweep Depth — maximum 10 points
A valid minimum sweep receives five points.
A sweep at least 1.5 times the minimum depth receives ten points.
Minimum accepted Sniper Scores are:
• Standard: 60
• Sniper: 78
• Elite: 88
Minimum positive pair correlation is:
• Standard: 0.35
• Sniper: 0.55
• Elite: 0.70
External-range requirements are:
Bullish maximum position
• Standard: 0.45
• Sniper: 0.33
• Elite: 0.25
Bearish minimum position
• Standard: 0.55
• Sniper: 0.67
• Elite: 0.75
Minimum divergence separation is:
• Standard: 0.00 ATR
• Sniper: 0.03 ATR
• Elite: 0.08 ATR
The Sniper Score is not a probability.
A score of 88 does not mean an 88% probability of success.
It measures rule-based confluence according to this script’s internal framework.
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📦 ACTIVE SMT / FVG VISUAL SYSTEM
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The script separates SMT context from final signal confirmation.
Historical SMT visuals can include:
• a dotted line from the prior chart-side liquidity reference to the SMT candle
• a minimal bullish or bearish marker near the SMT event
The default historical visual system keeps recent objects only.
The default limits are:
• eight bullish SMT lines
• eight bullish SMT markers
• eight bearish SMT lines
• eight bearish SMT markers
• ten final signal labels
• six signal FVG boxes
Older visual objects can be removed when the corresponding recent-only limit is exceeded.
This is chart-object management.
It does not move a signal to another candle.
Final signal visuals include:
UP
• blue label
• white bold-italic text
• printed below the confirmed signal candle
DOWN
• orange label
• white bold-italic text
• printed above the confirmed signal candle
Signal FVG Box
• appears only when stored FVG evidence exists
• uses the FVG that participated in the active confirmation sequence
• extends 12 bars to the right
• uses a lightly shaded bullish or bearish fill
The FVG box is an analytical confirmation visual.
It is not a guaranteed support, resistance, entry, stop, or target zone.
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🚦 ONE ACTIVE SMT SETUP AT A TIME
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The script maintains one active pending SMT confirmation sequence at a time.
When a qualified bullish SMT event appears:
• the active setup direction becomes bullish
• the bullish SMT extreme and trigger are stored
• the evidence state is reset
When a qualified bearish SMT event appears:
• the active setup direction becomes bearish
• the bearish SMT extreme and trigger are stored
• the evidence state is reset
A newly accepted SMT event can therefore replace the currently stored pending setup state.
The active setup remains in memory until:
• the final UP signal confirms
• the final DOWN signal confirms
• the setup invalidates
• the setup expires
• another accepted SMT event overwrites the pending state
This design prevents multiple overlapping confirmation sequences from creating an unclear chart state.
It does not prevent the user from performing independent analysis on other markets or timeframes.
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⚠️ SEQUENTIAL CONFIRMATION WINDOW HANDLING
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The default confirmation window is eight bars.
The final signal cannot appear on the original SMT candle because the minimum bars after SMT is one.
The engine monitors each completed candle inside the window.
Evidence can be accumulated in different orders.
For example:
SMT
→ displacement
→ SMT-candle break
→ FVG
→ final signal
or:
SMT
→ FVG
→ displacement
→ SMT-candle break
→ structure break
→ final signal
Preset behavior:
Standard
Uses Reactive confirmation.
Requires:
• displacement
• SMT-candle break
Sniper
Uses Confirmed confirmation.
Requires:
• displacement
• SMT-candle break
• FVG or micro-structure break
Elite
Uses Elite confirmation.
Requires:
• displacement
• SMT-candle break
• FVG
• micro-structure break
The engine does not use the historical high-low sequence inside a candle to simulate order execution.
It evaluates whether each closed candle satisfied a defined piece of evidence.
If the setup does not complete inside the window, it expires.
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🏷️ SMT SNIPER LABELS
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The indicator uses separate context and final-signal labels.
SMT Context Markers
The default SMT marker layout is Minimal.
Bullish SMT uses an upward marker.
Bearish SMT uses a downward marker.
The marker appears on the actual SMT confirmation candle.
Its tooltip can include:
• bullish or bearish SMT direction
• Sniper Score
• Base Quality Score
• effective pair correlation
• active comparison symbol
Final Signal Labels
The final labels display:
𝙐𝙋
or:
𝘿𝙊𝙒𝙉
UP uses a blue background.
DOWN uses an orange background.
The text is white.
Available final-label sizes are:
• Tiny
• Small
• Normal
• Large
• Huge
Normal is the default.
The UP tooltip can include:
• bullish SMT confirmation mode
• final stored Sniper Score
• final stored Base Quality Score
The DOWN tooltip contains the mirrored information.
The SMT marker and final signal label serve different purposes.
The SMT marker identifies the qualified correlated-market divergence.
The UP or DOWN label identifies the completed sequential confirmation.
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📍 SMT DISPLAY MODES
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The indicator operates directly on the main price chart.
The public Display settings provide control over:
Show SMT
Shows or hides historical SMT markers and reference lines.
Show UP / DOWN
Shows or hides final signal labels.
UP / DOWN Label Size
Controls the size of final UP and DOWN labels.
Show Signal FVG
Shows or hides the stored FVG box associated with a final signal.
Show Dashboard
Shows or hides the premium bottom-right dashboard.
The internal visual profile uses:
• Clean layout
• Recent Only historical display
• dotted SMT reference lines
• minimal SMT markers
• normal SMT marker size
• limited historical object counts
• no separate displacement circles by default
Input values are hidden from PulseWire’s status line.
Diagnostic plots remain available in the Data Window without adding visible price-scale clutter.
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🧹 SETUP INVALIDATION
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Not every accepted SMT event remains eligible.
A bullish setup invalidates when a completed candle closes below:
SMT low − stored SMT ATR × 0.10.
A bearish setup invalidates when a completed candle closes above:
SMT high + stored SMT ATR × 0.10.
The ATR value is stored when the SMT event appears.
This keeps the invalidation buffer linked to the volatility present when the setup was created.
A setup can also fail to produce a final signal because:
• the confirmation window expires
• displacement never appears
• the SMT candle is not broken
• required FVG evidence does not appear
• required structure evidence does not appear
• the final signal cooldown is active
• a newly accepted SMT event replaces the pending state
The directional SMT cooldown is 15 bars.
The final signal cooldown is eight bars.
A rejected, invalidated, or expired pending sequence does not print a final UP or DOWN label.
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📟 DASHBOARD
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The indicator includes a premium dashboard in the bottom-right corner of the chart.
The header displays:
trade_w_samet • SMT SNIPER
Current State
Possible states include:
• SCANNING MARKET
• BULLISH SMT DETECTED
• BEARISH SMT DETECTED
• BULLISH SETUP BUILDING
• BEARISH SETUP BUILDING
• UP SIGNAL CONFIRMED
• DOWN SIGNAL CONFIRMED
Comparison
Displays the active comparison symbol.
Correlation
Displays the current effective pair correlation.
Engine
Displays:
• STANDARD
• SNIPER
• ELITE
Pair Mode
Displays:
• AUTO
• MANUAL
Signal Score
When a relevant setup is active, the dashboard displays:
current Sniper Score / required Sniper Score.
When no setup is active, it displays:
NO ACTIVE SETUP.
UP / DOWN Counts
Displays the number of final confirmed UP and DOWN signals calculated on the loaded chart history.
Footer
Displays:
• BAR-CLOSE
• NON-REPAINT
• LIVE
The dashboard is not PulseWire Strategy Tester.
It does not display:
• win rate
• profit factor
• expectancy
• drawdown
• net profit
• broker-verified results
UP and DOWN counts are signal counts only.
“LIVE” means the dashboard updates with the latest available script state.
It does not mean the script predicts unfinished intrabar outcomes.
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🚨 ALERT SYSTEM
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SMT Sniper Entry Engine includes static PulseWire alert conditions for:
• Bullish SMT
• Bearish SMT
• UP
• DOWN
• Any Signal
• Any SMT
Bullish SMT
Triggers when a bullish SMT event passes the complete Base Quality and Sniper acceptance process.
Bearish SMT
Triggers when a bearish SMT event passes the mirrored acceptance process.
UP
Triggers when the bullish sequential confirmation process is complete.
DOWN
Triggers when the bearish sequential confirmation process is complete.
Any Signal
Combines final UP and DOWN conditions.
Any SMT
Combines bullish and bearish SMT conditions.
The script also includes dynamic alert() messages for final UP and DOWN signals.
Dynamic messages can include:
• product name
• direction
• chart ticker
• chart timeframe
• confirmed close price
• active comparison symbol
if enableAlerts
if buySignal
alert(
"SMT Sniper | UP | " +
syminfo.ticker +
" | " +
timeframe.period +
" | Close: " +
str.tostring(close, format.mintick) +
" | Comparison: " +
comparisonSymbol,
alert.freq_once_per_bar_close)
The DOWN dynamic message uses the mirrored format.
Dynamic final-signal alerts use once-per-bar-close frequency.
Alerts are monitoring tools.
They do not place, modify, or close broker orders.
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🔔 HOW TO USE ALERTS
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For separate static conditions:
1. Add SMT Sniper Entry Engine to the chart.
2. Open PulseWire’s Create Alert window.
3. Select SMT Sniper as the condition.
4. Choose Bullish SMT, Bearish SMT, UP, DOWN, Any Signal, or Any SMT.
5. Select the desired notification method.
6. Use a confirmed-bar frequency where appropriate.
7. Test the alert before relying on it.
For one combined dynamic final-signal alert:
1. Enable Alerts in the indicator settings.
2. Open PulseWire’s Create Alert window.
3. Select SMT Sniper.
4. Select Any alert() function call.
5. Configure the delivery method.
6. Test the UP and DOWN message format.
The combined dynamic alert sends final UP and DOWN events through one PulseWire alert.
Static Any Signal also combines UP and DOWN conditions, but uses the static alertcondition() message.
When indicator settings, code, symbol, or timeframe are materially changed, an already-created PulseWire alert can continue using the script snapshot stored when that alert was created.
Recreate alerts after important configuration changes.
Alert delivery can depend on:
• PulseWire servers
• selected symbol
• selected timeframe
• market-data availability
• realtime feed status
• symbol session
• user alert configuration
• webhook or external-service availability
Creating an alert does not guarantee broker execution.
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🧪 HOW TO USE THE INDICATOR
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A practical workflow:
1. Add SMT Sniper Entry Engine to a standard candlestick chart.
2. Begin with Engine Preset set to Sniper.
3. Keep Comparison Symbol Mode on Auto for supported symbols.
4. Review the Comparison field in the dashboard.
5. If the automatic market is not appropriate, switch to Manual.
6. Select a positively related comparison market.
7. Keep Show SMT enabled while learning the setup sequence.
8. Observe the historical liquidity reference line.
9. Observe the minimal SMT marker.
10. Treat the SMT marker as context, not as the final signal.
11. Watch the dashboard state.
12. Wait for a blue UP or orange DOWN label.
13. Review the active Sniper Score and required threshold.
14. Review the correlation value.
15. Review the signal FVG box when one is available.
16. Use alerts for monitoring rather than blind execution.
17. Evaluate broader market structure independently.
18. Review session conditions, volatility, spread, and news risk.
19. Define personal entry, invalidation, stop, target, and position-size rules.
20. Test the exact symbol, timeframe, exchange, broker feed, and comparison pair personally used.
The indicator is designed for structured review.
It should not be treated as an automatic decision-maker.
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⚙️ SETTINGS REFERENCE
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The public settings menu is intentionally simplified.
Advanced thresholds remain locked inside the engine to reduce configuration clutter and preserve consistent preset behavior.
⚙️ Engine
Engine Preset
Selects:
• Standard
• Sniper
• Elite
Standard
Produces more accepted setups.
Uses Balanced Base Quality, Standard Sniper thresholds, and Reactive confirmation.
Sniper
The default profile.
Uses Strict Base Quality, Sniper context thresholds, and Confirmed evidence requirements.
Elite
The most selective profile.
Uses Elite Base Quality, Elite context thresholds, and the strictest sequential evidence requirement.
A stricter preset does not guarantee better trading results.
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🔗 Comparison Market
Comparison Symbol Mode
Auto
Uses the internal ticker-recognition matrix.
Manual
Uses the selected Manual Comparison Symbol.
Manual Comparison Symbol
Selects the external market used by the SMT engine.
This field is active only when Comparison Symbol Mode is Manual.
Use a positively related comparison market.
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🎨 Display
Show SMT
Shows or hides historical SMT reference lines and markers.
Show UP / DOWN
Shows or hides final signal labels.
UP / DOWN Label Size
Selects:
• Tiny
• Small
• Normal
• Large
• Huge
Normal is the default.
Show Signal FVG
Shows or hides the stored FVG box associated with a final signal.
Show Dashboard
Shows or hides the bottom-right premium dashboard.
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🔔 Alerts
Enable Alerts
Enables the script’s static alert conditions and dynamic alert() calls.
For one combined runtime UP / DOWN alert, create the PulseWire alert using:
Any alert() function call.
All public input values use hidden status-line display.
Diagnostic values remain available through PulseWire’s Data Window.
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🧠 WHAT MAKES THIS SCRIPT ORIGINAL
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SMT divergence, liquidity sweeps, correlation, ATR, Fair Value Gaps, and structure breaks are familiar technical-analysis concepts.
These concepts are not unique by themselves.
The originality of SMT Sniper Entry Engine lies in the coordinated process applied to them:
automatic comparison-market selection
→ closed-bar rolling liquidity references
→ one-market liquidity sweep
→ same-bar reclaim
→ ATR-normalized Base Quality Score
→ log-return pair correlation
→ external-range location
→ ATR-normalized divergence separation
→ 0–100 Sniper Score
→ preset-driven SMT acceptance
→ temporary sequential confirmation
→ displacement evidence
→ SMT-candle break
→ FVG and micro-structure evidence
→ ATR-buffered invalidation
→ setup expiration
→ permanent UP or DOWN signal
→ recent-only visual management
→ static and dynamic alerts
→ premium diagnostic dashboard
Distinctive implementation features include:
• accepting a valid sweep from either market
• using rolling closed-bar references instead of pivot confirmation
• separating the SMT event from the final signal
• calculating separate Base Quality and Sniper Scores
• requiring positive pair correlation according to preset
• using preset-specific external-range thresholds
• measuring divergence separation relative to ATR
• accumulating confirmation evidence across separate candles
• storing the SMT candle as the reaction trigger
• storing ATR at the moment the setup is armed
• using different confirmation strictness for Standard, Sniper, and Elite
• limiting historical objects without relocating signals
• providing automatic comparison-market assistance with manual override
• supporting both static and combined dynamic alerts
• exposing detailed diagnostics through the Data Window
The script is not a simple combination of unrelated indicators.
Every module supports the same objective: determining whether a closed-bar SMT divergence has enough liquidity, correlation, location, reaction, and confirmation evidence to become a permanent final signal.
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⚠️ IMPORTANT PRACTICAL NOTES
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Signal frequency depends on:
• Engine Preset
• chart symbol
• comparison symbol
• ticker naming
• timeframe
• session
• volatility
• pair correlation
• liquidity-reference structure
• sweep depth
• chart-candle quality
• external-range location
• divergence separation
• directional cooldown
• post-SMT displacement
• SMT-candle break
• FVG evidence
• micro-structure evidence
• final signal cooldown
• available history
• data provider
Standard can produce more setups.
Elite can produce substantially fewer setups.
Fewer signals do not guarantee better results.
The built-in Auto matrix uses predefined OANDA and BINANCE symbols.
The chart symbol can come from another broker or exchange.
Different feeds can produce:
• different highs and lows
• different candle closes
• different ATR values
• different liquidity sweeps
• different correlation readings
• different final signals
Manual mode can be used when comparison-feed consistency is important.
The current engine expects a positive relationship.
An inversely related comparison market should not be selected.
The dashboard’s UP and DOWN values are signal counts.
They are not wins and losses.
The Signal Score is a confluence score.
It is not historical accuracy.
The SMT marker is not the final signal.
The final UP or DOWN label appears after post-SMT confirmation.
Changing settings recalculates historical conditions.
Changing the comparison market can materially change the script’s output.
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⚠️ LIMITATIONS AND SHORTCOMINGS
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This script has important limitations:
It does not guarantee profitable trades.
It does not predict future price movement.
It does not execute orders.
It does not place broker stops.
It does not place take-profit orders.
It does not calculate position size.
It does not include spread.
It does not include commission.
It does not include slippage.
It does not include latency.
It does not model partial fills.
It does not model financing or swap.
It does not evaluate order-book conditions.
It does not evaluate news risk.
It uses bar-based OHLC data.
It does not reconstruct exact intrabar price sequence.
It assumes a positive comparison relationship.
Its automatic matrix cannot recognize every broker symbol.
Unsupported Auto symbols can use the Manual Comparison fallback.
Correlation can change over time.
A historically correlated pair can temporarily decouple.
A confirmed SMT divergence can fail.
A displacement candle can be followed by reversal.
An FVG can be filled immediately.
A micro-structure break can become a false break.
A high Base Quality Score can still fail.
A high Sniper Score can still fail.
The Signal Score is not a win probability.
The dashboard is not PulseWire Strategy Tester.
Signal counts are not audited account performance.
The script does not provide verified profitability statistics.
The script does not provide broker-verified trade outcomes.
Alert delivery depends on PulseWire and user configuration.
Changing settings changes historical calculations.
Changing symbol, exchange, session, timeframe, or feed can change signals.
Available history can affect rolling calculations.
Permanent final signals wait for candle close.
The final label can therefore appear later than a discretionary intrabar entry.
For these reasons, the indicator should be used as an educational decision-support tool, not as a standalone automated strategy.
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👤 WHO THIS SCRIPT MAY BE USEFUL FOR
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This script may be useful for traders who:
• understand basic SMT divergence
• compare positively related markets
• study liquidity sweeps and reclaims
• want more context than a raw SMT marker
• prefer confirmed-close signals
• want selective preset modes
• use displacement as confirmation
• use Fair Value Gap concepts
• use micro-structure breaks
• want automatic comparison-market assistance
• want a manual comparison override
• want transparent quality scoring
• want a compact public settings menu
• want a premium dashboard
• want separate SMT and final-signal alerts
• want one combined UP / DOWN dynamic alert
• want Data Window diagnostics
It may be less suitable for users who:
• want guaranteed signals
• want every raw SMT divergence displayed
• want a fully automated trading bot
• want built-in TP and SL management
• want verified Strategy Tester performance
• want inverse-correlation SMT analysis
• expect one comparison pair to work on every feed
• require tick-level execution modeling
• want signals before candle close
• expect a score to equal probability
• want the indicator to replace personal judgment
• expect alerts to execute broker orders automatically
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🧭 BEST PRACTICE SUGGESTIONS
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For the default selective profile:
• use standard candlesticks
• begin with Sniper preset
• keep Auto mode only when the dashboard comparison is appropriate
• use Manual mode for broker-specific comparison control
• select positively related markets
• keep Show SMT enabled while learning
• distinguish the SMT marker from the final signal
• wait for the final UP or DOWN label
• review the correlation value
• review the active Signal Score
• review external market structure independently
• consider session liquidity and volatility
• use personal stop placement
• use personal target planning
• use personal position sizing
• test alerts before depending on them
• test the exact symbol and timeframe personally used
For additional frequency:
• use Standard preset
Standard reduces:
• Base Quality requirements
• correlation requirements
• range-location restrictions
• divergence-separation requirements
• Sniper Score threshold
• final confirmation evidence
For additional selectivity:
• use Elite preset
Elite increases:
• minimum sweep depth
• rejection-close requirement
• minimum range expansion
• Base Quality threshold
• correlation threshold
• external-range restriction
• divergence-separation threshold
• Sniper Score threshold
• final evidence requirement
Always:
• wait for the candle to close
• verify the active comparison symbol
• use the SMT marker as context
• use the final signal as confirmation
• review broader structure independently
• review personal risk before any trade
• treat alerts as monitoring tools
• remember that every confirmed setup can fail
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🔓 PUBLICATION NOTE
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SMT Sniper Entry Engine is published as an educational correlated-market divergence and confirmation tool.
The purpose of this description is to explain:
• how the comparison market is selected
• how Auto and Manual modes differ
• which markets are included in the automatic comparison matrix
• how closed-bar liquidity references are calculated
• how a one-market sweep is identified
• how reclaim validation works
• how sweep depth is normalized by ATR
• how chart-candle direction and rejection quality are evaluated
• how the Base Quality Score is constructed
• how pair correlation is calculated and filtered
• how external-range location is evaluated
• how divergence separation is measured
• how the Sniper Score is constructed
• how Standard, Sniper, and Elite differ
• how a qualified SMT event arms the confirmation engine
• how the temporary confirmation window works
• how evidence is accumulated across separate closed candles
• how displacement is detected
• how the SMT-candle break is used
• how Fair Value Gap evidence is detected
• how micro-structure evidence is detected
• how setup invalidation works
• how setup expiration works
• when final UP and DOWN labels appear
• what the SMT markers and dotted reference lines represent
• what the signal FVG box represents
• what the dashboard displays
• what the static alerts contain
• how “Any alert() function call” works
• what diagnostic values are available in the Data Window
• how confirmed-close timing works
• what the engine does not simulate
• why familiar SMT concepts are organized into an original workflow
The script is designed to support structured analysis.
It does not promise profitable results.
It does not remove market risk.
It does not execute trades.
It does not calculate position size.
It does not provide a built-in TP / SL trade-management model.
It should not be used as a blind UP / DOWN system.
Repainting and Timing Disclosure
SMT Sniper Entry Engine is designed around confirmed-bar calculations.
Permanent SMT events and final UP / DOWN labels use barstate.isconfirmed.
The comparison-market request uses:
• barmerge.gaps_off
• barmerge.lookahead_off
Liquidity references use previous closed candles.
The current candle is excluded from the prior-reference calculation.
The script does not use:
• pivot-high functions
• pivot-low functions
• future-bar confirmation
• negative plot offsets
• historical signal backplotting
• later relocation of final signal labels
A final UP or DOWN signal appears on the candle where the complete confirmation sequence becomes valid.
It is not moved backward to the original SMT candle.
Historical drawing cleanup can delete older lines, markers, labels, or boxes when the recent-object limit is exceeded.
Deleting an old drawing is not repainting.
The original signal bar is not changed.
Historical results can still differ when:
• settings are changed
• comparison symbols are changed
• Auto or Manual mode is changed
• chart symbols are changed
• timeframes are changed
• broker or exchange feeds are changed
• historical data is revised
• available chart history is changed
Realtime behavior also depends on when PulseWire receives the final data for the closing candle.
Confirmed-close design reduces unfinished-candle changes.
It does not eliminate market risk, data-feed differences, or alert-delivery limitations.
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🛡️ DISCLAIMER
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SMT Sniper Entry Engine is provided for educational and informational purposes only.
It does not constitute financial, investment, trading, legal, or tax advice.
No indicator can guarantee future results.
Markets are uncertain.
Correlation changes.
Liquidity changes.
Volatility changes.
Market structure changes.
Historical chart behavior does not ensure future performance.
Every user is responsible for their own:
• analysis
• validation
• comparison-market selection
• execution planning
• stop placement
• target planning
• position sizing
• risk management
• alert configuration
• trading decisions
• broker execution
• legal obligations
• tax obligations
The liquidity references, SMT markers, dotted lines, Base Quality Scores, Sniper Scores, correlation values, external-range filters, divergence-separation values, displacement conditions, Fair Value Gap boxes, micro-structure conditions, UP labels, DOWN labels, dashboard states, Data Window values, signal counts, and alerts are visual analysis tools only.
The SMT marker is not a guaranteed reversal.
The UP label is not a guaranteed profitable long trade.
The DOWN label is not a guaranteed profitable short trade.
The Signal Score is not a win probability.
The Base Quality Score is not a probability.
The correlation reading is not a guarantee that two markets will continue moving together.
The automatic comparison symbol is not guaranteed to be suitable for every broker feed.
The FVG box is not a guaranteed support or resistance zone.
The micro-structure break is not a guarantee of continuation.
The final signal-bar close is not a guaranteed fill.
The script does not include spread, commission, slippage, latency, financing, contract specifications, order rejection, partial fills, or broker-specific execution behavior.
Use this script as a structured SMT divergence-review and confirmation framework, not as a promise of profitability or a substitute for independent judgment.
Indicator
FVG + Order Block Toolkit [ForexCracked]🔷 OVERVIEW
Two of the most-watched smart money footprints on one clean chart. This toolkit auto-draws Fair Value Gaps and Order Blocks as zones, keeps only the ones that still matter, and shows a live count in a compact dashboard. Fair value gaps are drawn as soft fills and order blocks as bordered blocks, so you can tell the two apart at a glance. It is free and open-source.
🔷 HOW IT DETECTS THE ZONES
Fair Value Gaps: a three-candle imbalance. A bullish FVG is marked when the low of the current candle sits above the high of the candle two bars back, leaving an untraded gap. A bearish FVG is the mirror. Gaps smaller than your Min FVG size (measured in ATR) are filtered out so the chart stays clean.
Order Blocks: displacement based. When a candle closes with a body larger than your Displacement setting (in ATR), the toolkit marks the last opposing candle before that move as the order block. A strong bullish move leaves a bullish order block on the last down candle, and the reverse for bearish.
🔷 ZONE MANAGEMENT
Every zone extends to the right until price closes through it (mitigated) or it passes the Max zone age. That means the boxes on your chart are the ones that are still unmitigated, not old clutter.
🔷 THE DASHBOARD
A compact, positionable panel shows the live count of unmitigated bullish and bearish Fair Value Gaps and Order Blocks, plus a total. Drop it in any corner.
🔷 HOW TO USE
Treat the zones as areas of interest, not automatic trades. Watch for price to return to an unmitigated order block or fair value gap in the direction of your higher-timeframe bias, then confirm with your own analysis and use a stop. Higher timeframes produce fewer and stronger zones.
🔷 SETTINGS
Fair Value Gaps: show on/off, Min FVG size (x ATR), colours. Order Blocks: show on/off, Displacement (x ATR), OB lookback, colours. General: Max zone age, Extend right, Info panel + position.
🔷 ALERTS
New Fair Value Gap, and New Order Block.
Free and open-source. Educational tool, not financial advice. Indicator
Liquidity Profile Order Blocks [BOSWaves]Liquidity Profile Order Blocks - Impulse-Validated Order Block Detection with Embedded Net Delta Volume Profiles
Overview
Liquidity Profile Order Blocks is a pivot-anchored order block detection system that constructs supply and demand zones from impulse-validated swing events and embeds a live net delta volume profile inside each active block, where zone boundaries, profile distribution, and visual intensity are driven by measurable price displacement, volume-weighted directional flow at each price row, and real-time retest interaction rather than arbitrary candle pattern matching or static zone geometry.
Instead of identifying order blocks through isolated candle formations or fixed lookback patterns, each block requires a confirmed swing pivot followed by a displacement move exceeding a configurable ATR multiple, ensuring that only structurally significant events with genuine impulse evidence behind them generate zones. The embedded net delta profile then maps the buy and sell volume distribution across the price rows of each block using the formation candles, identifying the Point of Control and revealing whether the underlying flow within the block was predominantly buying or selling pressure at each specific level.
This creates an order block framework that combines structural detection criteria with internal participation intelligence. Each zone simultaneously shows where price pivoted with sufficient impulse to warrant attention, how volume was distributed across its price range during formation, whether that distribution was net buy or net sell dominant at each level, and how the balance is evolving as price retests the zone. When price enters an active block the visual system responds with intensified borders, brightened profile rows, and a glow effect that makes active interaction immediately identifiable.
Price is therefore evaluated not just against zones that meet structural criteria but against zones with a fully mapped internal participation profile that reveals the order flow composition of the institutional activity that created them.
Conceptual Framework
Liquidity Profile Order Blocks is founded on the principle that genuine order block zones carry two layers of evidence: a structural fingerprint in price behavior visible through pivot and impulse mechanics, and a participation fingerprint visible through the distribution of buying and selling volume across the zone's price range during its formation.
Traditional order block tools identify zones through candle pattern criteria alone and display them as uniform rectangles with no internal structure, treating all zones equally regardless of their internal flow composition. This framework adds the participation layer by building a per-row net delta profile inside each zone from the same bars that defined it, exposing how aggressively one side dominated at each price level and identifying the specific level within the zone where the greatest total participation was concentrated.
Three core principles guide the design:
Order block detection should require both a confirmed swing pivot and a measurable impulse displacement, ensuring structural and momentum criteria are satisfied simultaneously before a zone is committed.
Each zone should carry an embedded net delta profile derived from its formation bars, providing internal participation intelligence that distinguishes between zones with clean directional conviction and zones with contested or mixed flow composition.
Zone visualization should respond dynamically to retest interaction, intensifying when price is actively engaging with a block to communicate the structural significance of the current price location in real time.
This shifts order block analysis from pattern-matching zone marking into impulse-validated structural detection with embedded volume profile intelligence that reveals the institutional participation dynamics underlying each zone.
Theoretical Foundation
The indicator combines pivot high and low detection for swing identification, ATR-normalized impulse measurement for displacement validation, multi-candle zone boundary construction from formation bars, per-row volume allocation using price overlap fractions, net delta calculation across profile rows, POC identification by maximum row volume, retest interaction detection for profile updates and active state management, and a multi-layer gradient visualization system with glow intensity scaling.
Pivot detection uses configurable left and right bar requirements to identify confirmed swing highs and lows. Impulse validation measures the price displacement from pivot to the detection bar relative to ATR, filtering for only the moves with sufficient momentum evidence. Zone boundaries are constructed from the configured number of formation candles preceding the pivot, with ATR-based minimum and maximum height constraints preventing zones from being either too thin to be meaningful or too wide to be actionable. Volume allocation to each profile row is proportional to the overlap between each formation bar's range and the row boundary, ensuring volume is distributed to the price levels where it actually traded rather than assigned uniformly.
Four internal systems operate in tandem:
Impulse-Validated Detection Engine : Monitors confirmed pivot highs and lows and tests the displacement from pivot price to current close against the ATR multiple threshold, qualifying only structurally significant impulse events as order block origins.
Zone Construction and Constraint System : Builds zone boundaries from formation candles with ATR-based height clamping, manages maximum zone count by removing oldest blocks when the limit is reached, and optionally removes overlapping same-side zones to maintain a clean active zone set.
Net Delta Profile Engine : Allocates volume from formation bars to price rows via overlap-weighted fractions, tracks signed buy and sell volume per row to derive net delta ratios, identifies the POC as the maximum total volume row, and optionally updates the profile with additional volume on each confirmed retest bar.
Retest Interaction and Visual System : Monitors price entry into each zone, tracks touch count and armed state, detects mid-level confirmation for active signal generation, scales visual intensity through glow, border weight, and profile row brightness based on interaction state, and invalidates zones on configurable close or wick breach conditions.
This design ensures each zone carries both structural and participatory credentials while the visual system communicates interaction state dynamically throughout the zone's active lifecycle.
How It Works
Liquidity Profile Order Blocks evaluates price through a sequence of structure-aware and participation-tracking processes:
Pivot Detection : Swing highs and lows are confirmed when the configured number of bars to the left and right validate the pivot, identifying structurally significant turning points for impulse testing.
Impulse Validation : On each confirmed pivot, the price displacement from the pivot level to the current close is measured in ATR multiples. Displacement exceeding the configured threshold qualifies the event as an order block origin.
Zone Boundary Construction : The formation candle range spanning the configured number of bars before the pivot is used to derive zone top and bottom, with ATR-based minimum and maximum height constraints applied to ensure zone dimensions remain structurally meaningful.
Overlap Removal : When enabled, a newly created zone checks for existing same-direction zones that overlap with its boundaries and removes the oldest overlapping zone, preserving the most recently formed level.
Formation Profile Build : Each formation bar's volume is allocated to profile rows in proportion to the overlap between the bar's high-low range and each row boundary. Bullish formation bars contribute to buy volume and bearish bars to sell volume, building the initial net delta distribution across the zone's price rows.
POC Identification : The row with the greatest total volume accumulation across all formation bars is identified as the Point of Control, receiving distinct highlighting and an optional midpoint line.
Active State Monitoring : On each subsequent bar, price is tested for entry into each zone. Entry triggers a touch count increment and arms the zone for signal detection. When price closes beyond the midline in the zone direction after touching, the zone enters active state with intensified visual treatment.
Retest Profile Update : When the retest profile update setting is enabled, each confirmed bar while price is inside a zone contributes additional volume to the net delta profile, keeping the participation distribution current as the auction continues.
Visual Refresh : On every bar all active zones are redrawn with current glow intensity, border weight, profile row colors, and info box content reflecting the latest touch count, net delta percentage, total volume, and active state.
Invalidation Testing : On each confirmed bar, close or wick price is tested against the zone boundary in the opposing direction. Breach triggers zone deletion with full cleanup of all associated visual objects.
Together, these elements form a continuously updating order block system where structural credentials, internal participation profiles, and real-time retest dynamics are maintained simultaneously across all active zones.
Interpretation
Liquidity Profile Order Blocks should be interpreted as an impulse-validated structural zone system with embedded participation intelligence and dynamic interaction tracking:
Bullish Order Block (Green) : Zone formed below a confirmed swing low followed by a sufficient upward impulse, identifying a price region where buying activity concentrated before a displacement move higher.
Bearish Order Block (Red) : Zone formed above a confirmed swing high followed by a sufficient downward impulse, identifying a price region where selling activity concentrated before a displacement move lower.
Zone Body : The shaded rectangle spanning the formation candle range with gradient fill reflecting zone direction. Gradient intensity increases toward the dominant edge of the zone where institutional activity was most concentrated.
Net Delta Profile Bars : Horizontal bars centered within the zone body extending left or right from the center line to reflect net buy or net sell dominance at each price row. Longer bars indicate more decisive directional dominance at that level.
Point of Control Row : The profile row with the greatest total volume receives a distinct highlighted background and optional horizontal line, marking the price level of maximum participation concentration within the zone.
Info Box : Panel extending to the right of each zone displaying zone direction, net delta percentage across all formation volume, and total formatted volume, providing a quick quantitative summary of the zone's participation profile.
Midline : Dashed horizontal line at the zone center provides the reference level for mid-zone confirmation logic and serves as a precision target for entries and invalidation management.
Active Retest Glow : When price enters a zone after prior interaction, borders intensify, the POC line brightens, profile rows saturate, and the seam line thickens, communicating active structural engagement with immediate visual clarity.
Trend Cloud : Optional EMA fill and lines provide macro trend regime context, coloring in the bullish or bearish direction to help assess whether order block retests are occurring with or against the broader directional trend.
Zone impulse strength, net delta profile composition, POC location, touch count, and active glow state collectively provide more structural intelligence than zone boundaries alone.
Signal Logic & Visual Cues
Liquidity Profile Order Blocks generates retest confirmation signals when specific interaction conditions within active zones are met:
Bullish Retest Confirmation : Generated when price enters a bullish order block, the zone is in armed state from a prior touch, and price closes above the zone midline after having been at or below it, suggesting buying pressure is reasserting within the demand zone.
Bearish Retest Confirmation : Generated when price enters a bearish order block, the zone is in armed state from a prior touch, and price closes below the zone midline after having been at or above it, suggesting selling pressure is reasserting within the supply zone.
Both signal types require prior zone interaction to arm the zone before confirmation can trigger, filtering out first-touch reactions and focusing on the mid-level confirmation that indicates directional intent within the block.
Alert generation covers bullish and bearish retest confirmations for systematic zone-based monitoring workflows.
Strategy Integration
Liquidity Profile Order Blocks fits within institutional order flow and structural zone-based trading approaches:
POC-Precise Entries : Use the POC row within each zone as the highest-precision entry reference rather than the full zone boundary, placing entries at the level of maximum prior participation where the institutional activity was most concentrated.
Net Delta Zone Selection : Prioritize bullish zones showing net buy dominance in the profile and bearish zones showing net sell dominance, as aligned delta composition confirms that the formation volume was directionally consistent with the expected zone function.
Mid-Level Confirmation Entries : Use the midline confirmation signal as an entry trigger rather than entering on initial zone touch, waiting for price to demonstrate directional intent by closing beyond the zone center in the expected direction.
Touch Count Conviction Weighting : Assign higher confidence to zones with lower touch counts. Fresh zones with zero prior retests carry the most unmitigated institutional order potential. Zones with multiple touches have progressively absorbed more of the original order flow.
Retest Profile Monitoring : Monitor the net delta profile as it updates during retests with the Update Net Profile on Retest setting enabled. Profile composition shifting against the zone direction during a retest suggests absorption rather than continuation, warranting reduced confidence in zone integrity.
Invalidation Mode Selection : Use Close invalidation for stricter zone management that requires a full bar close beyond the boundary. Use Wick invalidation for earlier removal when any price excursion beyond the zone boundary is sufficient to consider the level structurally violated.
Technical Implementation Details
Detection Engine : Pivot high and low confirmation with ATR-normalized displacement measurement for impulse validation
Zone Construction : Multi-candle formation boundary derivation with ATR min and max height clamping and optional overlap removal
Profile System : Per-row volume allocation via high-low overlap fractions with signed net delta accumulation and maximum volume POC identification
Interaction Logic : Touch count tracking, armed state management, mid-level confirmation detection, and optional retest profile accumulation
Visual System : Multi-layer gradient zone fill, glow-scaled borders and lines, net delta profile bars, POC row and line highlighting, and info box with live metrics
Invalidation : Configurable close or wick breach detection with full object cleanup on zone removal
Trend Context : Dual EMA regime cloud with configurable fast and slow lengths for directional bias overlay
Performance Profile : Optimized with configurable maximum block count and array-based object management supporting real-time execution across all timeframes
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Intraday order block mapping for scalping with shorter pivot length and tighter impulse threshold for responsive zone formation on smaller structural moves
15 - 60 min : Session-level institutional zone identification with balanced pivot and impulse settings producing zones aligned with meaningful intraday structural events
4H - Daily : Swing-level demand and supply zone mapping with higher pivot requirements and wider impulse thresholds reflecting larger structural displacements
Suggested Baseline Configuration:
Pivot Length : 8
Impulse Size (ATR) : 1.10
Formation Candles : 4
Remove Overlapping Same-Side Blocks : Enabled
Minimum Zone Height (ATR) : 0.12
Maximum Zone Height (ATR) : 1.20
Maximum Blocks : 6
Invalidation : Close
Profile Granularity : 12
POC Highlight : Both
Update Net Profile On Retest : Enabled
Active Retest Glow : Enabled
Show Info Box : Enabled
Show MA Fill : Disabled
Show MA Lines : Disabled
These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's volatility characteristics, typical impulse behavior, and preferred zone density, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Too many zones forming : Increase Impulse Size to demand a stronger displacement move after each pivot, or increase Pivot Length to require more structurally significant swing confirmation before an order block qualifies.
Zones not forming frequently enough : Decrease Impulse Size toward 0.5 for more inclusive displacement qualification, or decrease Pivot Length toward 3 for faster pivot confirmation on shorter swing structures.
Zone boundaries too wide : Decrease Maximum Zone Height ATR multiplier to compress oversized zones, or decrease Formation Candles to limit the boundary range to fewer formation bars.
Zone boundaries too narrow : Increase Minimum Zone Height ATR multiplier to expand zones that are structurally too thin to provide meaningful interaction space.
Profile too granular or too coarse : Adjust Profile Granularity to increase or decrease the number of price rows, calibrating profile resolution to the zone height and the instrument's typical price movement within order block regions.
Zones invalidating too quickly : Switch Invalidation to Close mode to require a full bar close beyond the boundary rather than a wick excursion, reducing premature zone removal on temporary price spikes.
Too many zones overlapping : Enable Remove Overlapping Same-Side Blocks to automatically clean older zones when new ones form at the same area, or reduce Maximum Blocks to limit total active zone count.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Trending markets with clear impulse moves following swing pivots where order block zones consistently align with subsequent pullback reaction levels
Liquid instruments with consistent volume where the net delta profile produces meaningful row-level participation distributions that accurately reflect institutional flow composition
Institutional zone-based trading approaches where POC precision entries and net delta filtering provide higher-quality trade framing than conventional order block boundary entries
Multi-timeframe workflows where higher-timeframe order block zones provide directional structural context for lower-timeframe entry timing
Reduced Effectiveness:
Choppy, range-bound markets where frequent small swing pivots generate overlapping zones without the sustained impulse displacement required for meaningful structural significance
Low-liquidity instruments where thin volume produces sparse net delta profiles with insufficient row-level differentiation to distinguish POC and flow composition reliably
News-driven or gap-heavy markets where impulse moves occur on discontinuous price action that distorts zone boundary derivation relative to actual institutional entry levels
Instruments with irregular volume distribution where the net delta profile loses compositional accuracy due to inconsistent participation patterns across formation bars
Extreme volatility environments where ATR-based zone constraints produce inconsistent zone sizes that do not reflect the structural significance of the underlying pivot events
Integration Guidelines
Confluence : Combine with BOSWaves momentum tools, volume analysis, or structural break indicators to validate order block retests with broader analytical context before acting on mid-level confirmation signals
Profile Composition Awareness : Treat net delta profile composition as a zone quality indicator. Zones with clean directional dominance across most rows carry higher conviction than zones with mixed or opposing flow across their price range.
POC Respect : Use the POC row as the precision reference for entry placement and invalidation management. The maximum participation level within the zone represents the most meaningful price within the block from an institutional activity perspective.
Touch Count Discipline : Reduce position sizing or confidence on zones that have been retested multiple times. Each touch consumes a portion of the original order flow that created the zone, reducing the probability of a sustained reaction on subsequent tests.
Active Glow Response : Treat the active glow state as an immediate visual alert that price is engaging with a structurally significant level. Use this as a cue to increase monitoring frequency and prepare for confirmation or invalidation rather than acting immediately on zone entry alone.
Disclaimer
Liquidity Profile Order Blocks is a professional-grade order block detection and volume profile analysis tool. It uses impulse-validated pivot detection with per-row net delta profiling but does not access true exchange-level order book data. All volume distribution and flow measurements are derived from OHLCV data and represent best-approximation estimates of institutional participation rather than actual order book information. Results depend on instrument liquidity, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates momentum context, trend structure, and comprehensive risk management. Indicator
