Reticle - Structural Reversal GridWhy This Works
Financial markets rarely move in uninterrupted straight lines. Asset prices expand in directional vectors, exhaust themselves, and retrace back toward their origins to trap counter-trend traders before continuing. Reticle is designed to map this structural reality geometrically.
Most traders rely on static, horizontal support and resistance levels. The Reticle engine relies on the mathematical squaring of time and price. By anchoring a vector to a verified structural leg (A to B), the script projects a dynamic diagonal trend floor (the "Death Line") and mathematically subdivides the entire move. Furthermore, historical testing across crypto and legacy markets consistently demonstrates that the 50% to 62.5% retracement band is the highest-probability zone for trend continuation to occur following a structural push.
How This Works
Reticle operates as a dual-engine geometric tracker:
The Anchoring Engine: It auto-detects the dominant macro swing (highest high and lowest low over a specified lookback period) to find the current active leg in the market. It marks the start of the move as Anchor A and the climax as Anchor B.
The Geometry Engine: Once A and B are locked, it draws an 8x8 fractional lattice to subdivide the zone, extends a golden Exhaustion Box highlighting the 50–62.5% retracement levels, and calculates the true geometric "Death Line." The slope of this line dynamically adjusts to the actual ratio of the move, preventing the distortion that usually ruins diagonal trendlines across varying chart scales.
How to Use Reticle
The primary utility of this script is finding high-confluence continuation entries and identifying exact structural invalidation points.
1. Finding Entries in the Exhaustion Zone
Wait for an impulsive move to define Anchors A and B. As the price pulls back from B, watch for it to enter the golden 50–62.5% Exhaustion Box. This is your strike zone. You want to see the price wick into this box and print a strong rejection candle that closes back outside of it. The box dynamically flares red the deeper price pushes into it, visually highlighting peak tension.
2. Managing the Trade via the Death Line
The red diagonal Death Line originating from Anchor A acts as the ultimate structural invalidation. It rises in tandem with time. If the asset respects its market geometry, it should bounce out of the Exhaustion Box and remain on the "safe" side of the Death Line.
3. Trading the Break
If a candle cleanly closes across the Death Line (marked on the chart by a red ✕), the geometric structure of that leg is broken. If you are in a trend-continuation trade, this is your hard exit signal. Conversely, advanced traders can use this Death Line break as an entry trigger to play the structural reversal.
Settings Guide
Every chart and asset breathes differently. Use these settings to perfectly calibrate Reticle to your chosen instrument.
Anchor Mode & MTF
Auto Anchors: Leave this checked to let the script find the A and B swing points automatically. Unchecking it disables the script until you define manual time anchors.
Use Higher Timeframe (MTF) Swings: A powerful feature that allows you to calculate the dominant A→B swing on a macro timeframe (like the Daily) while executing your trades on a lower timeframe (like a 40-minute chart) without losing the structural geometry.
Auto Engine: Choose between "Dominant Swing" (finds the absolute high and low of the lookback window) or "Latest Pivots" (strictly grabs the last two confirmed pivot points).
Dominant Swing Lookback / Pivot Strengths: Adjusts how many bars the script scans to define a swing. Increase these numbers to track massive macro trends; decrease them to trade rapid intraday micro-structures.
Engine Parameters & Squaring
Death Line Slope Basis: Dictates the math behind the red invalidation line.
Auto (A→B Ratio): Recommended. The slope perfectly mirrors the steepness of the structural push.
Squaring Factor: Forces the line to rise by a fixed, absolute price amount per bar, achieving true Gann-style 1x1 squaring.
True Squaring (Price Units per Bar): Active only if "Squaring Factor" is chosen above. Input exactly how many dollars/cents the line should rise per bar (e.g., 100 means a $100 climb per candle).
Death Line Angle ×: Multiplies the final slope. 0.5 acts as a 1x2 support line hugging price action. 1.0 acts as a steep 1x1.
Exhaustion Band Forward Extension: Determines how many bars into the future the golden retracement box is drawn.
Toggle Visuals: Checkboxes to hide or show the Lattice, the Band, the Death Line, and the A→B Vector Spine to keep your chart uncluttered.
Alerts
Select exactly which structural events you want to be notified about. Reticle features a unified alert system that ensures signals are only fired on confirmed candle closes to avoid false wick triggers.
Format Alerts as JSON: Check this box if you are connecting the indicator to automated trading bots via webhooks. It outputs a clean, machine-readable data payload instead of standard text.
Status Table
Show Status Table: Toggles the HUD panel that provides live data readouts regarding the current vector size, slope settings, and the exact percentage distance between current price and the Death Line invalidation.
Position: Move the data panel to any corner of the chart to prevent it from covering active price action. Indicator
Premium and Discount Pivot Matrix [BigBeluga]Premium and Discount Pivot Matrix is an advanced market-structure terminal engineered for PulseWire. It maps macroeconomic structural equilibrium by tracking historical price extremes and calculating accurate institutional auction zones.
Instead of printing static linear channels, this framework uses an active multi-pivot state matrix to calculate premium ceiling and discount floor boundaries. It pairs these levels with a real-time 100-Bin Volume Profile Matrix plotted directly at the leading edge of the chart, providing immediate clarity on volume distribution relative to the market's fair-value equilibrium.
NSE:NIFTY
BINANCE:BTCUSDT
🔵 CHANNEL CALCULATION METHODOLOGY
The central core of the indicator relies on a multi-layered geometric calculation engine to establish its tracking bands. The engine follows a distinct three-step sequence to construct the structural matrix:
1. Multi-Pivot Array Extraction Engine
Asymmetric Window Scanning Nodes: The engine scans the chart for structural price peaks and troughs using an adjustable lookback window ( Pivot Left/Right Bars ). For a pivot to be verified, it must be the absolute highest or lowest value within that specified bar radius.
FIFO Array Storage Matrix: When a high pivot is logged, it is pushed into the highPivots array; low pivots are funneled into the lowPivots array. The script features memory guardrails ( Max Pivots to Track ) that automatically shift old elements out of memory, limiting array depth to prevent memory allocation drag.
// Manage Arrays via FIFO (First-In, First-Out) Storage Architecture
if not na(pHi)
array.push(highPivots, pHi)
if array.size(highPivots) > arraySize
array.shift(highPivots)
if not na(pLo)
array.push(lowPivots, pLo)
if array.size(lowPivots) > arraySize
array.shift(lowPivots)
2. Mathematical Boundary Selection
Premium Ceiling Isolation Grid: The terminal continuously runs an evaluation sweep across the active high memory array and extracts the absolute highest peak value using an optimized maximum tracking filter node. This serves as the outer resistance band.
Discount Floor Isolation Grid: Concurrently, the engine sweeps the active low memory array to extract the absolute lowest trough value, setting the hard outer support band floor.
Step-Line Price Plotting Framework: Because it selects the maximum high and minimum low of a rolling historical lookback set, the boundaries plot on your canvas as clean, structural step-lines. These lines only shift when a new macro extreme is logged or when an older extreme drops out of the tracking array.
3. Dynamic Equilibrium Tracking State Machine
Fair Value Midline Matrix: The Equilibrium Midline represents the exact mathematical center of the active trading channel. It calculates the mid-point price by taking the average of the resistance ceiling and support floor arrays.
Structural Shifting Trend Cloud Filters: This midline acts as a real-time tracker for the value center of the asset. The internal state machine monitors this line on every tick and applies dynamic visual treatments: it flashes the Midline Rising Color when the value structure is shifting upward, and instantly mutates to the Midline Falling Color when structural value drops downward.
// Extract Channel Levels
float resistance = na
float support = na
if array.size(highPivots) > 0
resistance := array.max(highPivots)
if array.size(lowPivots) > 0
support := array.min(lowPivots)
// Calculate Midline
float midline = not na(resistance) and not na(support) ? (resistance + support) / 2 : na
🔵 CORE STRUCTURAL LAYOUT FEATURES
1. 100-Bin Volume Profile Distribution Matrix
Intra-Channel Grid Binning Engine: When enabled ( Show Volume Profile at Channel End? ), the indicator runs a localized calculation over a specified historical range ( Volume Profile Lookback ). It divides the vertical space between the resistance ceiling and support floor into 100 equal vertical bins .
Adaptive Transparency Histogram Blocks: It calculates the exact volume distribution for each candle across these bins, scaling the horizontal width of the resulting histogram bars ( Volume Profile Max Width ). Premium distribution bars (above the midline) use an automatic gradient that gets brighter near the resistance ceiling to flag overextended premium supply. Discount distribution bars (below the midline) flash brighter near the support floor to highlight historical institutional accumulation blocks.
2. Volumetric Breakdown & Reversal Markers
Boundary Breach Telemetry Glyphs: The terminal closely monitors interactions with the channel boundaries. If a candle breaks completely out of the rolling step-line range, it triggers high-visibility telemetry circle shapes directly on the chart canvas (Bullish Reversal on downward breaks, Bearish Reversal on upward crosses).
Time-Index Signal Buffer Guards: To prevent messy clutter, the script suppresses repetitive signals using a strict index tracking buffer rule. When a valid breach is confirmed, it stamps the signal with clean text labels tracking the exact transaction volume traded during the breakout bar.
// 100 Bin Volume Profile Matrix Execution snippet
int binsCount = 100
float channelRange = resistance - support
float binStep = channelRange / binsCount
array binVolumes = array.new_float(binsCount, 0.0)
array binHighs = array.new_float(binsCount, 0.0)
array binLows = array.new_float(binsCount, 0.0)
for i = 0 to binsCount - 1 by 1
array.set(binLows, i, support + i * binStep)
array.set(binHighs, i, support + (i + 1) * binStep)
🔵 SYSTEMATIC EXECUTION STRATEGIES & RISK INTERPRETATION
Premium Zone Reversals: When an asset rallies into the upper channel gradient, enters the PREMIUM zone, and tests the resistance ceiling, monitor the 100-Bin Volume Profile. If the profile shows fading volume bars at the highs, look for short setups targeting a mean-reversion move back down to the Equilibrium Midline.
Discount Value Accumulation Trim: When price action drops into the DISCOUNT zone and approaches the channel floor, check the volume profile. Heavy volume concentration at these lows confirms strong institutional interest. Look for long positions here, using the step-line support floor as a strict trade invalidation level.
Equilibrium Breakout Continuations: Watch the behavior of the asset when the Equilibrium Midline shifts color. A sharp upward shift in the midline accompanied by a validated volume expansion signature suggests a structural trend shift, opening up long continuation options up to the premium line.
🔵 INTERFACE CONFIGURATION AND PARAMETERS
Pivot Structure Configuration Blocks: Adjust left/right bar strengths and internal array memory slots to optimize the indicator for short-term swing scalping or long-term macro trend tracking.
Volume Profile Matrix Settings: Fine-tune lookback depths and maximum bar widths to scale the volume profile layout for any financial asset class or chart timeframe.
Styling & Visual Aesthetics Overrides: Fully customize colors for rising structures, falling boundaries, interior gradient fills, and background profiles to integrate seamlessly with your preferred light or dark charting interface.
Transform your charting layout from traditional linear indicators into a highly automated, volume-anchored volatility tracking network with the Premium and Discount Pivot Matrix terminal. Indicator
Liquidity Sweep Reversal & Continuation A liquidity-sweep detector that classifies each sweep into a Reversal or Continuation setup, with a live dashboard and built-in entry signals.
Overview
This indicator tracks recent swing highs and lows as active liquidity levels — the pools of resting stop orders that tend to sit just beyond obvious structure. When price wicks beyond one of those levels and closes back inside it, that's flagged as a liquidity sweep (a stop hunt), and the level is removed from tracking since it's been used.
What makes a sweep useful for trading is context: the same sweep can mean two very different things depending on the broader trend.
A sweep against the prevailing higher-timeframe trend is treated as a Reversal setup — often a sign of exhaustion or a stop-hunt marking a turn.
A sweep with the prevailing higher-timeframe trend is treated as a Continuation setup — a shakeout before the trend resumes.
How it works
Liquidity levels — pivot-based swing highs/lows are plotted as dashed lines and tracked until swept.
Sweep detection — a wick beyond a level followed by a close back inside it triggers a sweep event.
Confirmation filters (all optional/toggleable):
Displacement candle — requires real conviction in the sweep candle's body, measured against ATR.
Volume spike — requires above-average participation on the sweep.
Follow-through confirmation — waits for price to break beyond the sweep candle's high/low within a configurable number of bars before actually firing a signal, rather than firing on the wick alone.
Trend context — an EMA-based bias, either local or from a higher timeframe, determines whether a confirmed sweep gets classified as Reversal or Continuation.
Signal quality grading — each fired signal is graded High/Medium/Low based on how many confirmation factors (displacement, volume, ADX alignment) lined up.
Dashboard
Shows the current trend context, the most recent sweep and its price level, whether a signal is currently pending follow-through confirmation, ADX/volume readings, the last signal fired and its quality grade, and running daily counts of reversal vs. continuation signals by direction.
Inputs
Every stage is configurable: pivot lookback and max tracked levels, trend context source (local EMA or HTF EMA) and timeframe, displacement/volume/follow-through confirmation toggles and thresholds, ADX length and trend-strength threshold, and dashboard placement/size.
How to use it
This is a discretionary tool for reading liquidity-driven price action, not a standalone automated system:
Use the Trend Context row to understand what a fresh sweep would mean before it happens.
Treat Reversal signals as higher-risk, contrarian setups — they work best with strong confirmation (high signal quality, ADX alignment) rather than on the wick alone.
Treat Continuation signals as lower-risk, trend-following setups — a shakeout in the direction of the existing trend.
Use the Signal Quality grade to filter out weaker setups rather than acting on every marker.
As with any price-action tool, sweep frequency and quality vary significantly by instrument, timeframe, and the pivot/confirmation settings chosen — backtest and forward-test before trading it live.
Concepts used
This script implements the widely-used "liquidity sweep" / stop-hunt concept found across smart-money and price-action trading methodologies — the idea that price often trades just beyond obvious swing highs/lows to trigger resting stop orders before reversing or continuing. The pivot detection, sweep logic, confirmation filters, trend-context classification, and dashboard are an original implementation built specifically for this script.
Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance of any setup or strategy does not guarantee future results. Always do your own research and risk management before trading. Indicator
Reversal Confluence Sniper [JOAT]Reversal Confluence Sniper
Hunts exhaustion reversals by requiring several independent exhaustion signals to appear together, so it fades stretched moves with confirmation rather than hope.
What it is
Fading a trend is dangerous when done on a single cue. This indicator only flags a potential reversal when multiple, independent signs of exhaustion coincide at the same moment — turning a risky counter-trend guess into a confluence-gated setup. It is an original reversal engine, not a lone oscillator flip.
How it works
The engine looks for several exhaustion conditions and requires enough of them to align:
• Momentum extreme — an oscillator reaching and rolling over from an overextended level, showing the push is losing force.
• Volatility stretch — price extended a statistically large distance from a mean or band, marking an unsustainable move.
• Rejection candle — a wick or close that rejects the extreme, showing the aggressive side failed to hold new ground.
• Participation — a volume or effort read that flags climax or fade behaviour rather than steady continuation.
A Buy (bullish reversal) prints when enough downside-exhaustion factors align; a Sell when enough upside-exhaustion factors align. A minimum-gap control prevents repeated prints while a market chops around an extreme.
Trade levels
Each signal draws a red risk box to a stop placed beyond the exhaustion extreme and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples. Placing the stop beyond the extreme respects the idea that if price makes a new extreme, the reversal thesis is wrong.
The dashboard
An adjustable sniper-scope panel shows which exhaustion factors are currently active, a combined conviction reading, the active signal, and a live first-target-before-stop tally from closed bars only, so you can see how much confluence backs each setup.
How to use it
• Works on any asset and timeframe.
• Most effective for timing entries at the end of a stretched move, ideally into a higher-timeframe level or zone.
• Because it fades momentum, pair it with structure or a level tool and keep stops disciplined — reversals that do not confirm should be cut quickly.
Settings
The exhaustion factor lengths and thresholds, the number of factors required to trigger, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The contribution is the confluence gate itself: several independent exhaustion measures that must agree before a counter-trend signal is allowed, with a transparent readout of which factors fired and integrated, non-repainting trade framing. It is designed to make fading safer by demanding evidence, not to promise reversals.
Notes and limitations
• Counter-trend trading is inherently higher risk; strong trends can stay stretched far longer than expected and overrun any reversal signal.
• Requiring more factors reduces false signals but also reduces frequency — this trade-off is yours to set.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Adaptive Smart Money Liquidity Sweep Levels [AlgoAlpha]🟠 OVERVIEW
Adaptive Smart Money Liquidity Levels tracks liquidity resting above and below price by detecting swing highs and lows across multiple lookback periods. Instead of displaying every historical level equally, it stores active liquidity zones, updates them over time, and removes them once price mitigates them.
The indicator also estimates the amount of liquidity accumulated around nearby levels using traded volume. This information is displayed through level opacity, a near-range liquidity balance chart, and an orderbook-style liquidity depth profile to provide context around where liquidity is concentrated.
🟠 CONCEPTS
Liquidity Level — Swing highs and swing lows detected from fast, medium, and slow lookback windows. Nearby levels are merged together to reduce duplicate levels. These levels are used to estimate the location of stop-loss orders, and volume + candle direction are used to estimate the buying/selling (and thus concentration of stop-loss orders) to determine the magnitude of orders at these levels.
Liquidity Depth — Volume is assigned to the nearest active liquidity levels based on candle direction and configurable distance weighting. The accumulated volume forms a depth profile around current price.
Mass Liquidation — Triggered when a candle body moves through two or more active liquidity levels on the same side, indicating multiple liquidity pools were cleared within a single move.
Stop-runs and Liquidity Dynamics — This script takes advantage of the concept of resting limit orders, and resting stop-loss orders. When a bar wicks a liquidity level instead of strongly trading through it, it implies a stronger amount of opposing pressure from both limit and market-orders than the pressure coming from clustered stop-losses, preventing a stop run and signalling a higher chance of that level holding and potentially a rebound. In simple terms, this indicator can be used as part of ICT and Smart Monet Concepts to help better understand a real liquidity sweep (marked by ▲▼) vs liquidation events (marked by highlighted candles) as both events usually require vastly different actions to capitalize on correctly.
🟠 FEATURES
Adaptive Liquidity Levels . Displays the nearest active liquidity above and below price.
• Level opacity increases as more volume accumulates.
• Levels automatically disappear after mitigation or when they exceed the selected maximum age.
• Levels represent accumulating stop loss orders as more trades occur (using volume and candle direction to estimate market orders)
Near Range Liquidity Balance . Shows the relative liquidity accumulated of the 3 nearest levels above and below current price using a two-column comparison chart.
Liquidity Depth Curve . Draws an orderbook-style cumulative depth profile beside price to visualize how liquidity builds further away from the current market.
Liquidation And Sweep Signals . Highlights candles that clear multiple liquidity levels and marks wick-only liquidity sweeps with directional markers.
🟠 HOW TO USE
Monitor liquidation labels and wick sweep markers to distinguish between full liquidity removals and liquidity that was only briefly tested. Liquidity removals imply weak levels while those that were wicked imply strong concentration of limit orders, useful for planning where to place stop losses or to time trade entries.
Watch the nearest liquidity levels to identify where resting liquidity is currently concentrated around price.
Compare the Near Range Liquidity Balance to see whether more liquidity is currently stacked above or below the market.
Use the Liquidity Depth Curve to estimate how liquidity changes as price moves further away from its current location.
🟠 CONCLUSION
Adaptive Smart Money Liquidity Levels combines multi-scale liquidity detection, volume-weighted liquidity accumulation, and mitigation tracking into a single view. By displaying active liquidity, nearby liquidity balance, and cumulative liquidity depth together, it provides additional context for where price is interacting with resting stop orders and how that structure changes over time. A key detail to note is that this script estimates the position and concentration of orders with proxies like swing levels and volume, and that the levels represent stop-loss orders, not limit orders. Indicator
Motion Reversal System [BullByte]Motion Reversal System (MRS) - Trend-Failure Bar Detector with Adaptive Pressure Meter, Multi-Mode Signal Engine, and Complete Trade-Level Framework
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Why This Indicator Exists
Most reversal indicators fall into one of two failure modes. Either they fire constantly in ranging markets because they have no directional filter, or they only confirm reversals long after price has already turned because they rely on lagging momentum oscillators. Motion Reversal System (MRS) was built to solve both problems in a single coherent engine.
MRS is one engine with one purpose: identify the precise bar at which a confirmed trend structurally fails - the moment commitment fades, the bar itself rejects further advance, and the move's energy reverses. From that bar, MRS automatically frames the trade with entry, two targets, and a stop loss, then manages the full trade lifecycle to closure.
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What Makes This Not a Mashup
A mashup combines independent indicators that each output their own signal, then layers them visually. MRS is the opposite. Every component of MRS feeds into a single decision: "Is the current bar a trend-failure bar?" Remove any one component and the engine stops working correctly.
- The Directional Gate decides IF a trend is present (no trend = no exhaustion to detect)
- The Four Failure Conditions decide IF the current bar is structurally failing that trend
- The Signal Mode decides HOW STRICT the failure must be
- The Pressure Meter provides a live visual reading of building reversal pressure
- The Trade Level Engine decides WHERE to enter, stop, and target
- The HTF Filter decides WHETHER higher-timeframe context confirms the call
These are not independent indicators. They are stages of one detection pipeline. Each stage exists because the next stage cannot function without it.
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The Engine - How It Actually Works
Stage 1 - Directional Gate (Kaufman Efficiency Ratio, Self-Adapting)
The script computes Kaufman's Efficiency Ratio (ER) over a rolling window. ER measures net price displacement divided by the total path price traveled. Values near 1.0 indicate pure trending motion; values near 0.0 indicate pure noise.
A fixed ER threshold would work well on one instrument and fail on another, so MRS adapts the gate dynamically. The threshold becomes the rolling mean of the ER series plus half a standard deviation, with a user-defined floor. This means the gate raises itself during volatile sessions and lowers during quiet sessions automatically. No re-tuning per instrument.
Only bars that occur inside a confirmed directional move (gate passed + minimum ATR displacement satisfied) are evaluated for failure. This single design choice eliminates the largest source of false signals: exhaustion calls in choppy ranges where there is no trend to exhaust.
Stage 2 - Four Failure Conditions (Evaluated at Bar Close)
For every bar inside a confirmed trend, MRS evaluates four orthogonal failure conditions:
C1 - Velocity Reversal: The bar closed against the direction of the confirmed trend. This is the most basic failure signal. A bull trend bar that closes red, or a bear trend bar that closes green.
C2 - Wick Rejection: The trend-side wick (upper wick in a bull trend, lower wick in a bear trend) is at least N times the size of the bar's body. This measures intra-bar rejection - buyers or sellers pushed price further in the trend direction and were defeated within the same bar.
C3 - Commitment Anomaly: The bar's commitment value (measured via volume-weighted body strength when volume is reliable, or wick-rejection ratio when it is not) is at least N standard deviations below the recent trend's commitment baseline. The current bar is statistically anomalous compared to what the trend has been producing.
C4 - Range Expansion: The bar's true range is at least N times ATR. Filters out small doji bars where wick rejection and velocity reversal become meaningless from microstructure noise.
These four conditions are orthogonal - they measure different physical properties of the bar. C1 measures direction. C2 measures intra-bar struggle. C3 measures volume/commitment. C4 measures magnitude. When multiple conditions align on the same bar, the signal reflects a greater degree of structural confluence - though no combination of conditions guarantees a reversal.
Stage 3 - Signal Mode (Strictness Selector - THE ACTUAL SIGNAL GATE)
This is the decisive gate that determines whether a signal fires. The user chooses how many of the four conditions must align:
Conservative - All 4 conditions required. Rarest signals, highest structural confluence. Best for swing traders, low-noise sessions, or those who prefer fewer signals with stronger multi-condition alignment.
Balanced (default) - Any 3 of 4 conditions required. Middle ground for most users and most timeframes. Allows one condition to be absent if the other three are strong.
Aggressive - Velocity Reversal (C1) is mandatory plus at least one other condition (minimum 2 of 4 total). Most signals, fewer conditions required per signal. Best for scalpers, active intraday traders, or those who prefer earlier detection at the cost of more false positives.
When the chosen condition count is satisfied at bar close, a signal fires. The Pressure Meter (Stage 5) is a separate visual reading and does not gate signals.
Stage 4 - Commitment Measurement (Volume-Aware with Auto Fallback)
Commitment measures how decisively the market voted on each bar. MRS supports three measurement modes:
Auto (recommended) - Uses volume-weighted commitment on instruments with real volume data (crypto, futures, stocks with traded volume). Automatically falls back to wick-rejection ratio on indices and synthetic feeds where reported volume is meaningless. The dashboard surfaces whichever method is actually active.
Volume - Forces volume-weighted measurement. Useful when you want to lock the method explicitly. Silently falls back to wick if data is missing, with a dashboard warning.
Wick - Forces wick-rejection ratio regardless of volume availability. Best for spot Gold (XAUUSD), forex, or any instrument where you don't trust the broker's volume feed.
Stage 5 - Adaptive Pressure Meter (Live Visual Reading)
The pressure meter is the dashboard's live reading of building reversal pressure. It is always populated whenever a trend is confirmed, regardless of whether the four-condition gate has been met. This gives the trader a continuous sense of how strong the reversal pressure has been building.
The meter is normalized against an adaptive baseline calculated from its own rolling history (mean + multiplier x stdev). The dashboard percentage shows where the current meter sits relative to that baseline.
Important: the baseline is a visual reference only. It does not gate signals. The signal authority is the Signal Mode condition count described in Stage 3. The meter and baseline simply help the trader monitor when conditions are increasingly aligned before they actually trigger.
Stage 6 - Higher Timeframe Confirmation (Optional Filter)
When enabled, the engine cross-checks every signal against the directional state of a higher timeframe. A reversal signal on the chart timeframe is marked "Strong" when the higher timeframe direction agrees with the chart trend being reversed against. For example: chart is in a confirmed bull move, HTF is also bullish, and a bear reversal signal fires - this is HTF-Strong, because the HTF confirms the bull trend that is being exhausted.
If the HTF direction disagrees with the chart trend (e.g., chart is in a bull move but HTF is already bearish), the signal is marked "Weak" - visually dimmed but not suppressed. The trader still sees the call but is warned that the HTF backdrop does not align with the underlying chart trend being detected.
The HTF uses request.security with lookahead = barmerge.lookahead_off, eliminating future-data leak across timeframes. The HTF series itself naturally evolves as each HTF candle forms (this is standard Pine behavior), so the script treats HTF as a confirmation filter rather than a guarantee of HTF-bar finalization. The signal trigger itself remains chart-bar-close only.
Stage 7 - Trade Level Engine (Complete Lifecycle)
When a signal fires, the engine automatically computes and draws:
- Entry: signal-bar close
- Stop Loss: fixed ATR distance from entry (not score-scaled - strong signals deserve tighter stops, not wider ones)
- Target 1: intermediate reference level, ATR distance scaled by signal strength (visual only, does not close trade)
- Target 2: decisive level, ATR distance scaled by signal strength (closes the trade on hit)
While the trade is active, four colored horizontal lines extend from the signal bar to the current bar, with monospace pill labels showing the price and R:R for each level. Two zone fills (green Entry to TP2 reward zone, red Entry to SL risk zone) make the risk/reward geometry visible at a glance.
The trade closes when either TP2 or SL is touched at bar close (intra-bar wicks that retreat before close do NOT close the trade). Same-bar TP2/SL tie is resolved as SL hit (conservative backtest assumption).
After closure, the trade-level lines freeze in place as historical record. Labels and fills vanish to keep the chart clean. The cooldown counter starts. By default, all four lines (Entry, SL, TP1, TP2) persist as historical traces for richest backtest visibility. The "Keep TP1/TP2 Historical Lines" input can be turned off to delete TP1/TP2 lines on closure and roughly double the number of historical trades the chart can hold before Pine's 500-line cap is reached.
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Signal Timing - No Repaint
All signal generation and trade closure is gated to confirmed (closed) bars via barstate.isconfirmed.
- A reversal signal triangle and label appear only at the close of the signal bar
- Entry, SL, TP1, TP2 levels are computed from the signal bar's close
- Trade closure (TP2 / SL hit) is evaluated only after the candle finalizes - intra-bar wicks that retreat before close do not trigger closure
The trade-off is up to one bar of timing on closure for cases where price spikes through a level intra-bar and retraces. The gain is realistic backtest visuals and zero repaint at every stage of the trade lifecycle. This is an intentional architectural choice for honest behavior over flashy intra-bar firing.
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How to Read the Chart
Signal Markers
Bull Reversal (detected inside a confirmed bear move, reversal up signaled): small cyan triangle below the bar.
Bear Reversal (detected inside a confirmed bull move, reversal down signaled): small red triangle above the bar.
Important: a bearish reversal signal fires inside a confirmed bull move. The signal detects exhaustion of the prevailing trend - not confirmation of a new one. The dashboard will show BULL MOVE while a short is active. This is correct behavior - you are trading the exhaustion of that bull move.
A monospace pill label sits beside each triangle showing the failure score (e.g., "Reversal Up | 2.45"). Higher numbers indicate stronger structural confluence across the four conditions.
When HTF Confirmation is enabled and HTF disagrees with the signal, the triangle and label appear in a dimmed color with "(HTF)" appended to the label text. The signal is still visible but is visually de-emphasized.
Trade Level Lines
Once a signal fires, four horizontal lines appear extending from the signal bar:
- Entry (yellow, solid): the price at which the signal was generated (signal-bar close)
- Target 1 (cyan, dashed): intermediate reference level, visual only
- Target 2 (green, solid): decisive level - trade closes when this is hit at bar close
- Stop Loss (red, solid): risk level - trade closes when this is hit at bar close
Pill labels at the right end of each line show the exact price and R:R distance.
Zone Fills
- Green soft fill between Entry and TP2: the reward zone
- Red soft fill between Entry and SL: the risk zone
At a glance, the green:red ratio visualizes the trade's risk-to-reward geometry.
Directional Background
- Subtle blue tint: a bull trend is confirmed
- Subtle red/orange tint: a bear trend is confirmed
- No tint: no confirmed direction (chop)
Bar Coloring (Exhaustion Gradient)
When the exhaustion meter rises above the trigger threshold (default 50% of baseline), bars are tinted on a gradient:
- Cool color (cyan/red): exhaustion is building but moderate
- Bright color (red on bull trend, cyan on bear trend): exhaustion has reached or exceeded the baseline - conditions for a signal are increasingly met, though no signal fires until the condition count gate is satisfied at bar close
Historical Trade Traces
After a trade closes, by default all four trade-level lines (Entry, SL, TP1, TP2) remain on the chart as a permanent historical record. This builds a visual log of every prior MRS detection directly on the chart. The "Keep TP1/TP2 Historical Lines" input can be turned off if you want to conserve Pine's line-object cap.
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How to Read the Dashboard (Full Mode)
The dashboard is the live diagnostic panel. Every row tells you something specific about the current state of the engine. From top to bottom:
Row 0 - Title: "MOTION REVERSAL SYSTEM (MRS)" - confirms the indicator name.
Row 1 - Context: ticker symbol, chart timeframe, and active Signal Mode.
Row 2 - Directional State: BULL MOVE / BEAR MOVE / NEUTRAL - large text, colored. Tells you whether a confirmed trend is currently in effect. When a trade is active against the current trend (e.g., short open during a bull move), this row appends "SHORTING EXHAUSTION" or "LONGING EXHAUSTION" so the dashboard reads as a coherent statement rather than an apparent contradiction.
Row 3 - Exhaustion bar: a 10-segment text-based pressure bar with percentage. Shows how close the live meter is to the adaptive baseline. Color escalates from gray to teal to purple to bright red/cyan as pressure builds.
Row 4 - Pressure: numerical value of the live exhaustion meter.
Row 5 - Baseline: the adaptive baseline value (mean + k x stdev) the meter is compared against. Visual reference only - does not gate signals.
Row 6 - Conditions: which of the four failure conditions are currently satisfied. " VEL WICK ANOM RANGE" means C1, C2, C4 are firing; C3 is not.
Row 7 - Count: how many of 4 conditions are firing, with current Signal Mode in parentheses. This is the actual signal authority - when the count satisfies the Signal Mode rule, a signal fires.
Row 8 - Eff Ratio: the current Kaufman Efficiency Ratio value, with the adaptive gate level next to it. Shows whether the directional gate is passing.
Row 9 - ATR: current ATR value at the configured length. Reference for understanding trade-level distances.
Row 10 - HTF Dir: current higher-timeframe directional state, OR "INVALID HTF (set higher than chart)" warning if user has misconfigured the HTF input.
Row 11 - Commit: which commitment measurement method is currently active (Auto -> Volume, Auto -> Wick fallback, etc.), with warning indicator if forced mode silently fell back.
Row 12 - Active Trade Status: "NO ACTIVE TRADE" or "LONG ACTIVE E " / "SHORT ACTIVE E " - color-coded.
Row 13 - Status: "Ready for signal" / "Cooldown: N bars" / "Trade active" - tells you whether the engine can fire a new signal right now.
Row 14 - Session: count of signals fired in the current session (resets daily).
Rows 15 to 19 - Engine Parameters reference: live readouts of the directional window, lookback periods, threshold parameters, ER gate values, and current commitment status. Useful for verifying your settings are applied as expected.
Row 20 - Version and Author footer.
Mobile / Minimal Dashboard Mode
For phone and tablet users, switching "Dashboard Mode" to "Minimal (Mobile)" collapses the dashboard to a single-column 5-row compact layout with larger fonts: Title, State, Exhaustion, Conditions, and Trade Status. Diagnostics are hidden for screen-space efficiency.
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Default Settings Explained
- Directional Window: 12 bars - measures Efficiency Ratio over a 12-bar lookback
- Directional Threshold (Base): 0.40 - minimum ER for trend confirmation, adapted upward dynamically
- Min Move Size: 1.5 ATR - net displacement must be at least 1.5 ATR for a trend to qualify
- Trend Statistics Lookback: 20 bars - sample size for computing commitment baseline statistics
- Wick Rejection Ratio: 1.5 - trend-side wick must be at least 1.5x the body to count as rejection
- Commitment Anomaly Sigma: 1.0 - current commitment must be at least 1.0 standard deviation below trend mean
- Min Range Expansion: 1.2 ATR - current bar range must be at least 1.2x ATR
- Signal Mode: Balanced - any 3 of 4 conditions required
- Baseline Lookback: 100 bars - rolling history for pressure meter statistics
- Baseline Multiplier: 2.0 - baseline = mean + 2.0 x stdev
- ATR Length: 14 - standard ATR period
- Commitment Mode: Auto - volume on real-volume instruments, wick on indices
- Post-Closure Cooldown: 10 bars - wait 10 bars after trade closure before new signal
- Stop Loss Distance: 1.5 ATR - base SL distance from entry
- Target 1 Distance: 1.5 ATR - T1 at 1:1 with SL
- Target 2 Distance: 3.0 ATR - T2 at 1:2 with SL
- Score-Weight Nudge: 0.3 - stronger signals widen targets by up to 30%
- Min Label Spacing: 0.35 ATR - minimum vertical gap between pill labels for readability
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Recommended Usage by Trader Profile
Scalper (1m to 5m): Aggressive mode, Cooldown 5 to 8 bars, HTF Confirmation on 15m. Signal frequency will be higher in Aggressive mode; use the dashboard pressure meter to monitor building exhaustion between signals.
Intraday Trader (5m to 30m): Balanced mode (default), Cooldown 10 bars, HTF Confirmation on 1h to 4h. The default settings were designed with this profile in mind as a starting reference point.
Swing Trader (1h to 4h): Conservative mode, Cooldown 15 to 20 bars, HTF Confirmation on Daily. Few signals, maximum condition confluence required.
Position Trader (Daily and above): Conservative mode, HTF Confirmation on Weekly. Signals are rare; when they fire, all four structural failure conditions have aligned on a higher timeframe bar.
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Recommended Markets
- Crypto (Spot and Perpetuals): well-suited - high volume data availability, clean microstructure, MRS auto-selects volume-weighted commitment
- Index Futures (NQ, ES, NIFTY futures): well-suited - real traded volume available, strong directional character
- FX Majors: usable with Wick commitment mode forced (broker volume is unreliable)
- Spot Gold (XAUUSD): use Wick mode explicitly - most brokers report tick count as volume which is meaningless
- Cash Indices (NIFTY, SPX index): MRS auto-detects index type and routes to Wick mode; verify Commit row on dashboard
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A Real-World Example Walkthrough
This walkthrough is a constructed illustration of how the engine behaves. It does not represent a historical trade or a performance result.
Scenario: BTCUSDT 15m chart, Balanced mode, Auto commitment.
Bars 1 to 20: Price climbs in a steady bull move. Dashboard shows BULL MOVE, Efficiency Ratio 0.55, Pressure Meter 0.20 (low). No signals fire because exhaustion is not building.
Bar 21: A large green candle prints - Range Expansion (C4) fires but the bar closes strong (no Velocity Reversal C1), and commitment is normal (no C3). Only 1 of 4 conditions. No signal.
Bars 22 to 24: Three smaller green bars with shrinking bodies. The Pressure Meter ticks up to 0.55 (moderate). Bar coloring activates softly. Dashboard "Conditions" row shows - only Wick Rejection is firing intermittently. No signal yet.
Bar 25: A red bar prints with a long upper wick and large range. All four conditions fire:
- C1 Velocity Reversal: bar closed red (against bull trend)
- C2 Wick Rejection: upper wick is 1.8x the body
- C3 Commitment Anomaly: bar's commitment is 1.4 standard deviations below the trend baseline
- C4 Range Expansion: bar range is 1.6x ATR
Dashboard shows "Conditions: VEL WICK ANOM RANGE | Count: 4/4". Pressure Meter reads 1.15.
A red bear reversal triangle prints above the bar with the label "Reversal Down | 3.42". Trade-level lines automatically draw:
- Entry (yellow): 64,210.50 (signal-bar close)
- SL (red): 64,422.00 (1.5 ATR above entry, since this is a short)
- T1 (cyan dashed): 63,999.00 (1.5 ATR x score-scale below entry)
- T2 (green): 63,576.00 (3.0 ATR x score-scale below entry)
Green reward fill appears Entry to T2, red risk fill Entry to SL. Dashboard "Active Trade" row turns red: "SHORT ACTIVE E 64,210.50". Dashboard "Directional State" row reads: "BULL MOVE | SHORTING EXHAUSTION".
Over the next several bars, price drops. The trade-level lines extend bar-by-bar. Dashboard " Status " reads "Trade active". No new signals fire because one trade is already open.
Bar 32: In this example, price reaches T2 at 63,576.00 on this bar's close. The trade closes at the target level. Labels and zone fills vanish. The trade-level lines freeze at bar 32 as historical record. Dashboard "Status" switches to "Cooldown: 10 bars".
Bars 33 to 42: Cooldown period. No new signals possible.
Bar 43: Cooldown complete. Dashboard "Status" reads "Ready for signal". The engine will evaluate the next qualifying bar for failure conditions.
---
Chart Examples
These screenshots show the indicator in use at specific moments in time. They are provided for visual reference only and do not represent performance results or forward-looking outcomes.
1. MRS detected a trend-failure bar inside a confirmed bull move on BTCUSDT 5m. Range expansion (C4) fired as exhaustion pressure reached the adaptive baseline (1.28 vs 1.03). Balanced mode gated the short at bar close - entry 62,553.3, SL 62,681.9, T2 62,273.6 (T2 distance: 2.17R).
2. MRS detected a trend-failure bar at the low of a confirmed bear move on NQ1! 5m. As the engine tracked displacement against path length (ER), exhaustion pressure crossed the adaptive baseline - failure score 0.48. Balanced mode gated the long at bar close - entry 30,553.75, SL 30,489.00, T2 30,706.50 (T2 distance: 2.36R).
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Parameter Adjustment Guide
If you get too few signals:
- Switch Signal Mode to Aggressive
- Lower Wick Rejection Ratio (1.0 to 1.2)
- Lower Commitment Anomaly Sigma (0.7 to 0.9)
- Lower Min Range Expansion (1.0 to 1.1)
- Reduce Cooldown to 5
If you get too many false signals:
- Switch Signal Mode to Conservative
- Raise Wick Rejection Ratio (2.0 to 2.5)
- Raise Commitment Anomaly Sigma (1.3 to 2.0)
- Raise Min Range Expansion (1.5 to 2.0)
- Enable HTF Confirmation
- Raise Cooldown to 15 to 20
If the T2 zone is reached but price reverses sharply before bar close triggers closure:
- Reduce T2 Distance to 2.0 to 2.5 ATR
- Reduce Score-Weight Nudge to 0.1 (less target widening on strong signals)
If SL is hit too often:
- Increase Stop Loss Distance to 2.0 ATR
- Increase T1 and T2 proportionally to maintain R:R geometry
---
What This Indicator Does Not Do
- It does not execute trades. It is an indicator (overlay), not a strategy. Order placement and trade management decisions remain with the user.
- It does not predict the future. It identifies bars where a confirmed trend has structurally failed based on objective criteria.
- It does not eliminate losses. False signals will occur, especially in news-driven price spikes. Always size positions according to your own risk management rules.
- It does not work on every instrument equally well. Choppy low-liquidity assets produce noisier signals. Test on your specific market before relying on it.
- It does not replace discretionary judgment. Use MRS as one input in your decision process, not the only input.
---
Alerts Available
MRS Bull Reversal (Strong) - bullish reversal signal; HTF confirms the preceding bear trend
MRS Bull Reversal (HTF Weak) - bullish reversal signal; HTF does not confirm the preceding bear trend
MRS Bear Reversal (Strong) - bearish reversal signal; HTF confirms the preceding bull trend
MRS Bear Reversal (HTF Weak) - bearish reversal signal; HTF does not confirm the preceding bull trend
MRS Target 2 Hit - trade closure at T2 level
MRS Stop Loss Hit - trade closure at SL level
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Disclaimer
This script is provided for educational and analytical purposes only. It is not financial advice, an investment recommendation, or a solicitation to trade. Past performance of any indicator or strategy does not guarantee future results. Trading involves substantial risk of loss. The author and PulseWire are not liable for any losses or damages arising from use of this script. Always validate signals against your own analysis, conduct your own due diligence, and apply prudent risk management. Use at your own risk.
---
Open source under Mozilla Public License 2.0. Code is fully readable in the Pine Editor for those who want to study the math. Thank you.
- BullByte Indicator
Liquidity Grab & PRL Engine [erdensedat]Liquidity Grab & PRL Engine
Overview
The Liquidity Grab & PRL Engine is a highly advanced, institutional-grade market structure indicator designed to identify macro liquidity sweeps, track wick rejections, and pinpoint high-probability trend reversals. Instead of relying on lagging indicators, this engine reads raw price action and liquidity pools to catch the exact moment a trend is exhausted and ready to reverse.
It comes equipped with an automated trade setup generator (Entry, SL, and TP zones) and a built-in backtesting panel to track your daily and all-time win rates in real-time.
Core Concepts & How It Works
1. Macro Liquidity Pools
The algorithm constantly scans the chart for significant structural pivots (Macro Highs and Lows). Once a major pivot is identified, it draws an unmitigated "Macro Liq" (Orange dashed line) representing a structural liquidity pool. Retail traders often place their stop losses at these levels, making them a magnet for institutional price delivery.
2. Liquidity Grab Zone (The Trap)
When the price breaks a Macro Liquidity line, the indicator does not immediately signal a continuation. Instead, it marks the breakout candle as a "Liq Grab Zone". This assumes the breakout might be a fake-out designed to hunt stops (a sweep) before a reversal.
3. PRL (Possible Reversal Line) Tracking
This is where the magic happens. After a Liquidity Grab, the engine activates its dynamic wick-tracking system:
It anchors a tracking line to the absolute high/low of the grab candle.
As long as consecutive candles keep pushing the extreme (higher highs or lower lows), the slope line follows the price tightly.
The Reversal Signal: The moment a confirmed candle fails to break the previous extreme (a shorter wick), the tracking stops. A solid, horizontal PRL (Possible Reversal Line) is instantly born. This flat line indicates that the liquidity sweep is over, momentum has shifted, and a reversal is imminent.
4. Automated Trade Setups & Dynamic Fibo Engine
Once a PRL is confirmed, the engine automatically generates a full trade setup:
Entry Level: The exact price of the PRL formation.
TP 1 Zone: A semi-transparent target box dynamically calculated using hidden Fibonacci logic (0.618 to 0.764) based on the distance between the grab and the previous macro level.
Stop Loss (SL): A dynamic invalidation line calculated using an adjustable multiplier (default: -0.25) beyond the extreme wick.
Smart Display: Only the most recent setup is tracked dynamically across the chart. Past setups are frozen exactly where they hit TP, SL, or were invalidated by a new setup, leaving a clean historical footprint.
5. Pro Winrate & Performance Panel
The indicator acts as its own backtester. A sleek, non-intrusive UI panel tracks every executed setup in the background:
Live Status: Tells you if a trade is "Awaiting Setup", "Active", "TP Hit", or "SL Hit".
Daily Stats: Tracks today's closed trades, Win/Loss ratio, and total R-R flow (Risk-to-Reward accumulation).
All-Time Stats: Calculates the overall Win Rate of the strategy, automatically changing color (Green/Red) based on profitability.
6. MA Trend Filter (Optional)
For traders who prefer trading with the higher timeframe trend, there is an optional Moving Average filter (default: 200 EMA). When enabled, the engine will only validate Long setups if the price is above the MA, and Short setups if the price is below the MA, drastically increasing the quality of the signals.
How to Use It
Wait for the price to sweep a Macro Liq line and print a Liq Grab Zone.
Watch the dashed tracking line follow the wicks.
Wait for the solid PRL line to form (Confirmed Reversal).
Execute the trade at the Entry Level, place your stop at the SL Line, and target the TP Zone.
Disclaimer
This indicator is for educational and informational purposes only. Trading in financial markets involves a high degree of risk and may not be suitable for all investors. The automated setups and win rates displayed by this tool are based on historical price action and mechanical algorithms; they do not guarantee future results. Always perform your own analysis, practice strict risk management, and never trade with money you cannot afford to lose. The author (erdensedat) assumes no responsibility for any trading losses incurred while using this script. Indicator
Pressure Reversal Engine [JOAT]Pressure Reversal Engine
Introduction
Pressure Reversal Engine is an open-source pressure and absorption indicator. It estimates buy and sell participation from candle location, body behavior, direction, and volume, then looks for cases where aggressive participation fails to produce continuation.
The script is designed for traders who want to identify absorption, pressure mismatch, reclaim/reject behavior, and stacked imbalance areas without relying on true bid/ask data.
Core Concepts
1. Estimated Buy/Sell Pressure
The pressure model uses close position within the candle, candle body, direction, and volume. This creates a deterministic approximation that works on symbols where true bid/ask volume is not available.
2. Absorption Detection
Absorption is identified when strong estimated pressure fails to move price in the expected direction. Demand absorption and supply absorption are tracked separately.
3. Pressure Profile
A rolling profile divides the recent price range into rows and estimates where buy and sell pressure accumulated. The profile highlights skew, POC, value area, and imbalance zones.
4. Reclaim and Reject Logic
Swing references help identify whether price reclaimed a prior level or rejected from it. These events can combine with pressure mismatch to create long or short setup states.
5. Stacked Pressure Clusters
Consecutive bars with strong pressure and volume expansion create cluster boxes. These show areas where participation repeatedly appeared.
Features
Buy/sell pressure estimation: Uses candle anatomy and volume to approximate directional participation.
Absorption states: Detects when demand or supply fails to follow through.
Rolling pressure profile: Displays POC, value area, and pressure skew.
Stacked pressure boxes: Highlights repeated pressure bursts over several bars.
EMA regime filter: Optional trend filter for long and short setups.
Entry and exit state zones: Shows confirmed pressure reversal and risk-off states.
ATR stop/target rails: Uses volatility-adjusted projections for setup review.
Pressure candle coloring: Bars can reflect active pressure state.
Dashboard: Shows pressure state, profile skew, POC, value area, absorption, regime, volume, and stack status.
Alerts: Long setup, short setup, long exit, short exit, demand absorption, and supply absorption.
Input Parameters
Core: Pressure Profile Lookback, Profile Rows, Pressure Gate, Value Area.
Signals: Entry / Exit State Zones, EMA Regime Filter, Fast EMA, Slow EMA, Swing Left, Swing Right, Projection Bars, Signal Cooldown Bars, Stored Trade Plans.
Cluster, Risk, and Visuals: Stacked Pressure Boxes, Minimum Stack Bars, Stack Volume Boost, ATR Stop, Target 1 ATR, Target 2 ATR, Right Pressure Profile, Pressure Candle Color, Dashboard, Profile Right Offset.
How to Use This Indicator
Step 1: Read the pressure state
Use the dashboard to see whether bid pressure, ask pressure, absorption, or idle conditions dominate.
Step 2: Watch for failed participation
The strongest reversal information appears when pressure is high but price fails to continue in that pressure direction.
Step 3: Use value area and POC as context
Reversals near the pressure POC or value area edge can have different meaning than signals in empty areas.
Indicator Limitations
Pressure is estimated from candle and volume data; it is not true exchange order flow.
Rolling profiles are approximations and depend on lookback and row settings.
Signals can be delayed by confirmed-bar logic.
Markets with poor volume data can reduce profile usefulness.
Originality Statement
Pressure Reversal Engine is original in the way it combines candle-derived pressure, rolling pressure profile rows, absorption logic, reclaim/reject behavior, stacked pressure clusters, and ATR risk projections into one open-source Pine Script v6 tool.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade. Estimated pressure can be wrong, and all signals can fail. Use proper risk management.
Made with passion by jackofalltrades
Indicator
Liquidity Sweep Quality Score [TradeDots]Liquidity Sweep Quality Score
Summary
This indicator detects liquidity-sweep events on the chart timeframe and assigns each event a 0 to 100 composite quality score with an A+, A, B, C, D, or Weak letter grade. A liquidity sweep here is defined precisely: the current bar prints beyond a confirmed swing pivot (below a prior swing low for a bullish sweep, or above a prior swing high for a bearish sweep) and closes back inside the prior range. The composite score is built from six independent factors that quantify how decisively the rejection occurred and how supportive the surrounding context is. The grade label is drawn on the bar immediately after the sweep so that the score includes the first piece of follow-through evidence.
What is original here
Detecting liquidity sweeps from pivot geometry is straightforward and is already common across public scripts. Where most scripts stop at binary detection ("a sweep happened"), this script adds a multi-factor quality layer on top. The originality is in the scoring methodology: six measurable factors, each normalized to a 0 to 100 scale so that raw units do not dominate, combined as a weighted average with a regime-aware penalty applied at the end. All weights and thresholds are exposed as inputs so that the model is auditable and tunable. The contribution is not the detection but the explicit, transparent scoring layer that lets traders rank sweeps rather than treat them as uniformly meaningful.
How it works
Pivots are tracked with the standard pivot-high and pivot-low primitives using a user-configurable symmetric left/right lookback. The most recently confirmed swing high and swing low are held in memory.
A bullish sweep registers when the current bar's low prints below the most recent swing low and the current close finishes above it. A bearish sweep is the symmetric case. A wick-to-body ratio gate filters trivial events where the rejection wick is too small relative to the candle body. Signal evaluation is gated by barstate.isconfirmed, so signals only finalize at bar close.
When a sweep is detected, the six factors below are computed.
1. Wick rejection strength. The size of the rejection wick on the sweep candle relative to the candle body. A larger wick relative to body indicates a more decisive intrabar rejection of the swept level. Scaled by the user's minimum acceptable wick-to-body ratio.
2. Relative volume. The rolling percentile rank of the sweep bar's volume within a configurable lookback (default 100 bars). Sweeps occurring on volume in the upper percentiles score higher than sweeps on quiet bars.
3. Failed-break decisiveness. The distance between the swept pivot and the close, expressed in ATR units. A close that recovers a full ATR back inside the prior range scores higher than a marginal recovery.
4. Higher-timeframe level proximity. The distance between the close and the nearest of the prior higher-timeframe bar's high or low, expressed in ATR units. Sweeps near a major higher-timeframe level score higher than sweeps at intra-range pivots.
5. Follow-through confirmation. The bar immediately after the sweep is inspected. A directionally consistent follow-through (a green bar after a bullish sweep, a red bar after a bearish sweep) earns full credit. Because this factor requires the next bar, the composite is finalized one bar after the sweep candle and the grade label is drawn on the follow-through bar, not on the sweep bar itself. This is documented behaviour, not a defect.
6. Regime penalty. Computed from ADX and the EMA-50 / EMA-200 alignment. When a sweep occurs against the direction of a strongly trending market (ADX above the user threshold and the sweep direction conflicts with the EMA alignment), a fixed user-configurable penalty is subtracted from the composite. A bullish sweep in a strong downtrend is structurally the same pattern as a bullish sweep in a balanced range, but the prior probability of follow-through differs. The penalty makes that difference visible in the score.
The composite is the weighted average of factors 1 through 5, with factor 6 applied as a post-weighting deduction. Tier mapping:
A+ : score 90 or higher
A : score 80 to 89
B : score 70 to 79
C : score 60 to 69
D : score 50 to 59
Weak : below 50
Repainting and data integrity
All sweep detection, scoring, label placement, and alert triggers are gated by barstate.isconfirmed. Signals do not appear or change intrabar.
The higher-timeframe level is fetched with request.security() using the prior-bar source (high and low ) together with the barmerge.lookahead_on flag. This combination is the established non-repainting form for higher-timeframe reads: the index requests the value from the prior higher-timeframe bar, and the lookahead flag ensures that value is returned consistently in both historical and real-time evaluation. This pattern does not access future data. It returns the last confirmed higher-timeframe bar's extremes, which are already history at the moment they are read.
How to read the chart
A small triangle is plotted at the sweep bar itself: below the bar for bullish sweeps, above the bar for bearish sweeps. This marks the detection event.
A directional grade label is drawn on the next bar (the follow-through bar), with text showing the letter grade and the numeric composite score. The label color shifts on a red-to-green gradient based on the score.
A configurable dashboard panel shows the most recent sweep's direction, each of the six sub-factor scores with gradient cells, the regime-penalty status, the composite score, and the letter grade.
All sub-scores are also output as hidden plots so that they are accessible from the Data Window and may be referenced in alert messages.
Inputs
Inputs are grouped into five sections.
Core Settings : swing pivot lookback, minimum wick-to-body ratio, ATR length, volume percentile lookback.
Filters : higher-timeframe reference, ADX length and threshold for the regime check, regime-penalty enable toggle.
Score Tuning : a 0 to 1 weight for each of the five positive factors and the regime-penalty magnitude in points.
Visual Settings : panel position, panel size, label cap, marker and label toggles.
Any Alert() function call conditions : per-signal boolean toggles to enable individual alerts.
Alerts
Six alert conditions are provided: A+ Setup, A Setup, B Setup, Bullish Sweep with quality at or above 70, Bearish Sweep with quality at or above 70, and Any Sweep with score at or above 80. Each alert is declared via alertcondition() for native PulseWire alert configuration and is also fired programmatically through alert() when its corresponding input toggle is enabled. All programmatic alerts use alert.freq_once_per_bar_close to prevent intrabar re-triggers. The alertcondition() message templates include {{ticker}}, {{interval}}, and {{close}} placeholders for webhook integrations.
How to use this script
This script is a quality filter for reversal-style entries. It is not a complete trading system.
Identify a discretionary or systematic reversal context — a higher-timeframe level retest, a range extreme, a divergence, or any structure already in your plan.
Wait for a sweep marker to print.
Read the dashboard at bar close on the follow-through bar. Treat B-grade or better as candidate setups. Treat C and Weak as information only.
If the regime-penalty row indicates the sweep is fighting a strong trend, weight the signal toward "pullback rejection inside a continuing trend" rather than "trend reversal."
Position sizing, stop placement, and target selection remain entirely the user's responsibility.
Limitations and honest caveats
The composite score is a heuristic evidence weighting. It is not a statistically calibrated probability. An A grade means a sweep has more of the listed evidence factors than a C grade. It does not imply a specific likelihood of follow-through.
Pivot detection has inherent right-bar confirmation lag. A swing pivot is only confirmed after the configured right lookback has elapsed.
The higher-timeframe proximity factor uses only the prior higher-timeframe bar's high and low. Other structurally relevant levels — anchored VWAPs, weekly opens, user-marked supply or demand, prior session highs and lows — are not part of this factor.
The regime penalty uses ADX, which is a lagging measure of trend strength and will not flag fast regime shifts immediately.
The grade label is drawn one bar after the sweep bar by design (see factor 5 above). Traders who require the label on the sweep bar itself should be aware that this would mean publishing a score before the follow-through evidence exists.
The script is an indicator, not a strategy. It does not size positions, manage stops, or backtest entries.
Disclaimer
This script is published for informational and educational purposes. It is not investment advice and is not a recommendation to buy or sell any instrument. Past appearance of any pattern, including high-grade sweep setups, does not guarantee future behaviour. Users are solely responsible for their own trading decisions and risk management.
Indicator
Indicator
Realtime Non-Repainting EntriesName:
Realtime Non-Repainting Entries
Short title:
RT NP Entries
Summary
Realtime Non-Repainting Entries is a focused entry-only market-structure tool built around a causal transform path and reversal-confirmation logic. It is designed to mark live entry opportunities and preserve confirmed historical entry markers without turning into a full trade-management engine. Its main purpose is to provide a cleaner, more structured entry framework than raw price alone while remaining simpler and more universal than a full operational system.
This script is intentionally narrower than a full transform engine. It does not include exits, split trade management, replay reconstruction, forecast candles, or the broader integrated state logic used in a larger operational engine. Instead, it concentrates on one problem only: producing realtime entry markers from a causal transform path while keeping closed-bar historical signals stable.
How it works
The script first builds a causal transform line from raw price using ATR-scaled adaptive movement. That transform is not meant to be a full hindsight best-fit reconstruction. It is a live-updating, causal path that tries to reduce some raw-price noise while staying responsive enough to expose directional shifts.
From there, the script tracks transform swing state. When transform direction changes, it arms a reversal candidate from the prior swing extreme. That candidate is then evaluated by a small set of confirmation rules, including:
minimum transform movement away from the pivot in ATR terms
optional close-beyond-pivot-close confirmation
optional transform-direction agreement
optional raw-trend agreement
and a cooldown to reduce immediate repeat signals
When those conditions are satisfied on a closed bar, the script prints a confirmed historical entry marker. While the current bar is still forming, it can also show a live candidate marker, which may update until the bar closes. That means the script is causal and historically non-repainting on closed bars, while still being allowed to update on the current live bar.
Important behavior note
This script is best understood as:
historically stable on closed bars
live-updating on the current bar
So “non-repainting” here means confirmed historical entry markers do not rewrite after bar close. It does not mean the current unfinished bar cannot update before confirmation.
Features
causal transform path
realtime regime/state coloring
armed reversal candidates
confirmed historical long and short entries
optional live candidate markers
minimum move-away filter
optional close-beyond-pivot-close filter
optional transform agreement filter
optional raw-trend agreement filter
cooldown filter
long and short alertconditions
compact status table
Strengths
cleaner entry framing than raw-price-only flips
easy to understand and visually inspect
useful as a standalone entry tool
historically stable confirmed markers on closed bars
live candidate visibility before confirmation
simpler and more universal than a full integrated engine
does not require trade-management complexity to be useful
Weaknesses
does not solve the false-pivot problem universally
entry quality will still vary by market and timeframe
no exits, no profit handling, no loss handling
no replay-based trade-state reconstruction
no full forecast/probability layer
some filters may still remove both good and bad signals
current-bar live candidates can update before bar close
Who it’s for
This script is best suited for:
traders who want a cleaner entry-only tool
users looking for realtime directional shift markers
traders who want historically stable confirmed entry markers
users who want a simpler transform-based script
users interested in market-structure style entries without a full operational engine
Who it’s not for
This script is not best suited for:
users wanting full trade management
users expecting exits and complete automation
users expecting universal high-accuracy winner/loser separation
users wanting a full replay/stat engine
users wanting a complete forecast system
users looking for a guaranteed low-false-signal solution
Known limitations
This script is better at:
structuring entries
cleaning up directional state
and showing stable historical entry markers
than it is at:
reliably separating all future winners from losers before entry
It should be viewed as an entry-focused structure tool, not as a complete predictive engine or full trade-management system.
Final note
Realtime Non-Repainting Entries is a focused, entry-only script built around realtime causal entry structure and historically stable confirmed entry markers. It is designed to be useful and clear without turning into a full operational engine. Its value is in structuring entries more cleanly than raw price alone, not in solving the entire trading problem. Indicator
Reversal Entry ZonesReversal Entry Zones
Reversal Entry Zones is an open-source reversal-structure indicator built around one specific analytical idea:
a reversal zone becomes more meaningful when it is not drawn from a simple local pivot alone, but from a pivot that has been confirmed only after price reverses by a minimum threshold.
This script is not designed to predict every turning point in advance, and it is not intended to behave like a generic zigzag clone, a simple support/resistance overlay, or a basic pivot marker that labels every local high and low without further confirmation. Its purpose is to identify confirmed reversal points only after price has moved far enough in the opposite direction, then convert those confirmed points into structured bullish or bearish reversal zones on the chart.
The script also includes extension lines, optional projected zones, a synthetic path connecting one confirmed reversal to the next, and a status panel that summarizes the latest reversal state. These features are included to support chart structure analysis and review, not to imply future performance or automatic trade validity. :contentReference {index=2} :contentReference {index=3}
OPEN-SOURCE NOTE
This script is published open-source so users can inspect the logic directly, verify what the script is doing, and adapt parts of the workflow for their own research if they wish.
Even though the code is open, this description is intentionally detailed because many PulseWire users do not read Pine Script. The goal is for a user to understand what the script does, how it works, why its parts belong together, and how it may be used in practice without having to study the code line by line.
OVERVIEW
At a high level, the script does six things:
1. It tracks running highs and lows from a selected source stream.
2. It confirms a pivot only after price reverses by at least a minimum threshold.
3. It classifies the confirmed pivot as either bullish or bearish reversal structure.
4. It draws layered reversal visuals, including core and outer zones, reversal lines, and optional projected zones.
5. It can connect each confirmed reversal to the next using a synthetic path.
6. It summarizes the current structural state in a compact status panel.
The script is therefore meant to function as a complete reversal-structure mapping tool rather than as a single-purpose pivot or line-drawing script. :contentReference {index=4}
CORE IDEA
Many structural tools label local highs and lows immediately, but they do not distinguish clearly between a temporary pause and a reversal that has actually been confirmed by sufficient opposite-side movement.
This script is built around the idea that those two situations are not necessarily equivalent.
A local high is not automatically a bearish reversal.
A local low is not automatically a bullish reversal.
This script waits for price to reverse by a threshold that is large enough to qualify before it confirms the prior pivot as a true reversal point inside the script’s own logic.
That is the core of the model.
Instead of saying:
“a pivot exists here, so draw structure now,”
the script says:
“track the current swing extreme, and only confirm it as reversal structure after price has moved far enough away from it.”
That makes the framework more selective than a simple high/low labeling tool.
The script therefore organizes reversal structure in the following sequence:
track active swing highs and lows,
wait for a sufficient opposite move,
confirm the prior pivot only after that threshold is met,
classify the reversal as bullish or bearish,
then map that reversal into a layered zone and line structure for review.
That narrower focus is the main reason the script exists in its current form. :contentReference {index=5} :contentReference {index=6}
WHY THIS SCRIPT IS NOT A SIMPLE MASHUP
This script combines multiple components, but they are not included simply to place more features into one publication.
Each component has a specific function inside the same analytical process:
- The running high/low engine tracks the currently active swing state.
- The reversal-threshold model decides when a prior extreme is actually confirmed as a reversal.
- The selected source mode controls whether the model works from smoothed averages or raw highs/lows.
- The layered zone display turns each confirmed reversal into a readable structural area rather than a single line.
- The reversal lines extend the confirmed level forward for later reaction analysis.
- The synthetic path shows how one confirmed reversal connects to the next.
- The panel summarizes the most recent reversal state and current threshold context.
These layers are interdependent.
Without the running high/low engine, there is no active swing state to monitor.
Without the threshold model, the script would behave more like a basic pivot high/low marker.
Without the source-mode selection, the user could not control whether the structure is smoother or more reactive.
Without the zone display, the confirmed reversal would remain only a point or line rather than a readable area.
Without the reversal lines, later interaction with the level would be harder to monitor.
Without the synthetic path, the sequence of reversals would be less visually coherent.
Without the panel, the user would have less organized feedback about the latest confirmed reversal, threshold level, and current tracking state.
For that reason, the script is intended as a single reversal-confirmation framework, not as a random collection of unrelated visual elements. :contentReference {index=7} :contentReference {index=8}
WHAT THE SCRIPT DOES
The script monitors price using either:
- raw High/Low values,
- or an Average-based stream built from smoothed highs and lows.
It then tracks the current running swing in one direction until price reverses far enough to meet the active reversal threshold.
Once that happens:
- the prior extreme is confirmed as a reversal point,
- the script classifies it as bullish or bearish,
- stores its bar index and price,
- draws a layered visual structure around that level,
- optionally extends a projected zone forward,
- and updates the panel with the new structural information.
Depending on settings, the chart can show:
- bullish reversal labels,
- bearish reversal labels,
- outer reversal boxes,
- core reversal boxes,
- optional projected reversal zones,
- reversal level lines,
- synthetic path segments,
- and a status panel.
This means the script is not attempting to generate trade entries by itself. It is building a structured visual map of confirmed reversal locations according to the script’s internal threshold model. :contentReference {index=9}
HOW THE SCRIPT WORKS
1) SOURCE MODE
The script can work from two different source modes:
Average
High/Low
In High/Low mode, the script uses raw highs and lows directly.
In Average mode, the script uses smoothed high and low streams based on the selected Average Length.
This distinction matters because the selected source changes how reactive the structure engine is.
High/Low mode is more direct and can react more closely to raw price extremes.
Average mode is smoother and can reduce noise by filtering those extremes through an averaging process.
This allows the same reversal-confirmation logic to operate in either a more reactive or more smoothed structural mode. :contentReference {index=10}
2) EXTRA CONFIRMATION BARS
The script includes an Extra Confirmation Bars setting.
This offsets the source references used by the reversal engine and effectively delays how the script interprets the active high/low streams.
That allows the user to add an additional confirmation delay before reversal recognition is evaluated. In practical terms, this can make the script less reactive and help reduce immediate local noise around current bars. :contentReference {index=11} :contentReference {index=12}
3) REVERSAL THRESHOLD MODEL
The script does not confirm reversals from pivots alone.
It uses a threshold model built from three elements:
- ATR,
- a preset percentage factor,
- and a custom absolute minimum reversal value.
The final reversal threshold is the maximum of those elements.
This matters because the script wants to avoid confirming a reversal from movements that are too small to be meaningful under current market conditions.
In the current implementation, the threshold is derived from:
- the selected preset’s ATR multiplier,
- the selected preset’s percentage factor,
- current ATR,
- current close,
- and the Custom Absolute Reversal input.
The threshold is therefore adaptive rather than completely fixed. It reflects both current volatility and a hard minimum floor. :contentReference {index=13}
4) SENSITIVITY PRESET
The script includes a preset-based sensitivity model.
In the version you shared, the available presets are:
- Low
- Very Low
Those presets change the internal ATR multiplier and percentage factor used inside the reversal threshold model.
This means the preset is not just a cosmetic label. It directly changes how selective the reversal engine is.
A stricter preset requires a larger move before a reversal is confirmed.
A less strict preset allows reversals to be confirmed more easily.
That makes the preset one of the key inputs controlling how much structure the script draws. :contentReference {index=14}
5) RUNNING SWING ENGINE
The script maintains a running high and running low state.
When it is monitoring an upward swing, it continues updating the running high until price reverses by at least the required threshold.
When it is monitoring a downward swing, it continues updating the running low until price reverses by at least the required threshold.
Only after that opposite-side movement is large enough does the script confirm the prior extreme as an actual reversal point.
This is the central mechanism that separates the script from simple pivot markers. It does not mark the pivot at the moment it forms. It waits for the reversal to prove itself by moving far enough away. :contentReference {index=15}
6) BULLISH AND BEARISH REVERSAL CLASSIFICATION
Once a pivot is confirmed, the script classifies it as either:
- bullish reversal,
- bearish reversal.
A confirmed low pivot becomes a bullish reversal.
A confirmed high pivot becomes a bearish reversal.
The script then stores:
- the reversal direction,
- the reversal price,
- and the reversal bar.
These values are also used by the panel and optional synthetic path logic. :contentReference {index=16}
7) LAYERED ZONE DISPLAY
When a reversal is confirmed, the script can draw multiple structural layers around that level.
These include:
- an outer box,
- a core box,
- and, if enabled, an optional projected zone.
The core and outer boxes are centered on the confirmed reversal price and scaled using a volatility-aware half-range derived from ATR and relative price size.
This layered approach is important because it gives the user more than a single line. It creates a visually interpretable reversal area with inner and outer structure.
The optional projected zone extends the reversal level forward as a narrower zone based on the user-defined thickness percentage and extension length. This can help the user monitor how price interacts with the reversal area after it has been confirmed. :contentReference {index=17}
8) REVERSAL LINES
The script can draw a glow line and a main reversal line at the confirmed reversal level.
These lines extend forward by the selected Reversal Line Extension setting.
The purpose of these lines is to make the confirmed reversal level easier to monitor after formation. The thicker glow line improves visibility, while the main line provides the clearer structural reference. :contentReference {index=18}
9) REVERSAL LABELS
If enabled, the script places a bullish or bearish reversal label at the confirmed reversal zone.
These labels are not trade commands. They are structural tags that tell the user which kind of reversal the engine has confirmed and where that confirmation occurred according to the script’s logic. :contentReference {index=19}
10) SYNTHETIC PATH
The script can optionally connect one confirmed reversal to the next using a synthetic path line.
This path is not a price forecast and it is not an order-flow model. It is simply a structural visualization that helps the user follow the sequence of confirmed reversals over time.
This can be useful for understanding whether confirmed reversal points are alternating in a way that creates readable turning structure or whether the market is moving more erratically. :contentReference {index=20}
11) STATUS PANEL
The panel summarizes the most recent state of the reversal engine.
Depending on the current chart state, it can show:
- the latest signal type,
- the last signal price,
- bars since the last reversal,
- current threshold value,
- ATR value and active zone count,
- whether the engine is currently monitoring for a bullish or bearish reversal,
- preset and source mode.
This panel is not meant to predict the next reversal. Its purpose is to organize the script’s current state into a readable summary. :contentReference {index=21}
WHAT MAKES THIS SCRIPT ORIGINAL
This script uses familiar building blocks such as:
- pivots,
- ATR,
- price-percentage thresholds,
- smoothed price streams,
- projected zones,
- panel summaries.
Those building blocks are not original by themselves.
The originality of this script is not in inventing a completely new primitive indicator. The originality lies in how those familiar elements are arranged into one confirmed-reversal workflow:
running swing tracking
→ adaptive reversal-threshold calculation
→ delayed pivot confirmation
→ bullish/bearish reversal classification
→ layered reversal visualization
→ optional projected zone extension
→ synthetic path mapping
→ structural status panel
That full sequence is the main reason this script exists as its own publication.
It is not intended to be simply another pivot script, another ATR-based filter, or another generic dashboard. It is specifically a reversal-confirmation framework that combines threshold-based pivot confirmation, layered reversal-zone display, structural sequencing, and chart-state review in one workflow. :contentReference {index=22} :contentReference {index=23}
WHAT APPEARS ON THE CHART
Depending on settings, the chart may display:
- bullish reversal labels,
- bearish reversal labels,
- outer reversal boxes,
- core reversal boxes,
- projected reversal zones,
- reversal level lines,
- synthetic path lines,
- and a status panel.
Users who want a cleaner chart can disable some visual layers and keep only the elements most relevant to their workflow. :contentReference {index=24}
HOW TO USE THE SCRIPT
A practical workflow is:
1. Add the script to a standard candlestick chart.
2. Choose whether you want to work from Average mode or raw High/Low mode.
3. Set the Average Length if Average mode is used.
4. Set ATR Length and Custom Absolute Reversal so the threshold model matches the instrument’s behavior.
5. Choose the preset that gives the level of selectivity you want.
6. Decide whether to show reversal labels, projected zones, and synthetic path.
7. Watch for newly confirmed bullish or bearish reversal areas.
8. Use reversal lines and projected zones to observe how price behaves around those confirmed levels.
9. Use the synthetic path and recent reversal sequence as structural context rather than as a predictive model.
10. Combine the script’s output with your own market framework, confirmation rules, and risk management.
This script is best understood as a structured decision-support and chart-review tool, not as a self-sufficient automated trading solution. :contentReference {index=25} :contentReference {index=26}
SETTINGS REFERENCE
Confirmation Settings
- Extra Confirmation Bars: adds additional confirmation delay to reversal recognition.
Sensitivity
- Preset: controls how selective the reversal engine is by changing the internal threshold model.
Reversal Calculation
- Swing Source: selects Average or High/Low logic.
- Average Length: smoothing length used in Average mode.
- ATR Length: ATR reference length used in the threshold model.
- Minimum Absolute Reversal: hard minimum reversal filter.
Zone Display
- Show Reversal Labels: shows or hides bullish/bearish reversal labels.
- Show Projected Zones: enables or disables forward reversal zones.
- Max Zones: limits how many projected zones remain visible.
- Zone Extension: controls how far projected zones extend.
- Zone Thickness (%): controls the projected zone thickness relative to price.
Reversal Lines
- Reversal Line Extension: controls how far reversal lines extend.
- Max Reversal Levels: limits how many reversal levels remain visible.
- Label Size: controls reversal-label size.
Synthetic Path
- Show Synthetic Path: enables or disables the structural connection path.
- Path Width: controls the width of the synthetic path.
- Path Style: selects solid, dashed, or dotted display.
- Max Path Segments: limits how many path segments remain on the chart.
Colors
- Bullish Color: sets the bullish reversal color.
- Bearish Color: sets the bearish reversal color.
- Synthetic Path Color: sets the synthetic path color.
Status Panel
- Show Status Panel: enables or disables the panel.
- Panel Position: controls panel location. :contentReference {index=27} :contentReference {index=28}
IMPORTANT PRACTICAL NOTES
This script depends heavily on the selected threshold configuration.
If the threshold is too small, reversals may be confirmed too frequently and the chart may become overly sensitive.
If the threshold is too large, reversal confirmations may become very rare and the script may react too slowly for the intended use.
The selected source mode also matters:
- High/Low mode is more reactive,
- Average mode is smoother.
That means the same instrument can produce meaningfully different reversal structures depending on:
- preset,
- ATR length,
- average length,
- confirmation bars,
- and custom absolute reversal settings. :contentReference {index=29}
LIMITATIONS AND SHORTCOMINGS
This script has important limitations:
- It is a reversal-confirmation model, not a complete market-structure system.
- It does not predict reversals before the threshold is reached.
- It only confirms reversals after sufficient opposite-side movement has already occurred.
- It does not include volume, order flow, fair value gaps, or broader context filters.
- Its behavior depends heavily on ATR, preset sensitivity, source mode, and confirmation settings.
- The synthetic path is a structural visualization, not a predictive model.
- Projected zones are chart-analysis aids, not automatic entry or exit instructions.
- Different instruments, sessions, and volatility conditions can materially change how frequently reversals are confirmed.
- No reversal-threshold model can eliminate all false structure or all regime-dependent behavior.
For those reasons, the script should be used as a structured analysis and review framework, not as a promise of future price direction. :contentReference {index=30} :contentReference {index=31}
WHO THIS SCRIPT MAY BE USEFUL FOR
This script may be useful for traders who:
- want a threshold-based reversal confirmation tool,
- want something more selective than a simple pivot marker,
- want layered reversal zones rather than only single reversal lines,
- want to visualize the sequence of confirmed reversals over time,
- want a compact panel that summarizes the current structural state.
It may be less suitable for traders who:
- want a predictive signal tool,
- want a full trade-execution system,
- want a classic supply-and-demand engine,
- want a very minimal chart with no structural overlays.
DISCLAIMER
This script is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
Market conditions change, historical behavior does not guarantee future results, and users should perform their own analysis, validation, and risk management before using the script in live decision-making. Indicator
Harmonic Resonance Field [JOAT]Harmonic Resonance Field
Introduction
The Harmonic Resonance Field is an open-source overlay indicator that combines dynamic range detection, Renko-style trend tracking, harmonic frequency analysis, and magnetic field visualization into a unified system for identifying consolidation zones, trend direction, and potential reversal points. It is designed for traders who want to understand where price is within its current range, how strong the prevailing trend is, and when conditions are ripe for a breakout or mean reversion.
Built with Pine Script v6, the indicator uses custom user-defined types for Renko state management, range detection, reversal signals, harmonic bands, magnetic fields, and resonance points.
Why This Indicator Exists
Range-bound markets account for a significant portion of trading time, yet most indicators are optimized for trending conditions. This indicator fills that gap by providing:
ADX-based range detection: Automatically identifies when the market is ranging versus trending using ADX with a configurable threshold, so traders know which strategy framework to apply
Multi-style band calculation: Offers four band calculation methods (ATR, Percentage, Standard Deviation, Harmonic) so traders can choose the volatility measure that best fits their instrument
Renko trend overlay: A smoothed Renko-style trend line that filters noise and shows the dominant direction without requiring a separate Renko chart
Harmonic frequency analysis: Uses sine-wave modulation to create bands that expand and contract with market rhythm, capturing cyclical behavior that static bands miss
Magnetic field visualization: Plots dynamic attraction/repulsion levels around the mean, helping traders visualize where price is likely to gravitate
Core Components Explained
1. Range Detection Engine
The indicator uses ADX to classify market conditions. When ADX falls below the configurable threshold (default 25), the market is classified as ranging, and the indicator highlights the range boundaries. When ADX rises above the threshold, the market is trending, and the indicator shifts focus to the Renko trend line and harmonic bands.
adxSmoothed = ta.rma(dx, adxLength)
isRanging = adxSmoothed < adxThreshold
During ranging conditions, the indicator calculates the highest high and lowest low over the range lookback period and draws a dynamic range box with upper, lower, and midline levels. This gives traders clear boundaries for mean reversion strategies.
2. Harmonic Band System
The band system supports four calculation styles:
ATR: Bands based on Average True Range multiplied by a configurable factor
Percentage: Bands at a fixed percentage distance from the mean
Standard Deviation: Bollinger-style bands using standard deviation
Harmonic: Bands modulated by a sine wave that creates rhythmic expansion and contraction
The harmonic mode is unique to this indicator. It calculates a phase and amplitude based on bar position and ATR, then modulates the band width with a sine function:
harmonicPhase = math.sin(bar_index * 2 * math.pi / bandLength) * 0.5 + 0.5
harmonicAmplitude = atrVal * bandMultiplier
bandWidth = harmonicAmplitude * (0.5 + harmonicPhase * 0.5)
This creates bands that breathe with the market's natural rhythm rather than remaining static or purely reactive.
Chart showing the Harmonic Resonance Field with harmonic bands expanding and contracting around price, Renko trend line, and range detection box during a consolidation period
3. Renko Trend Engine
Rather than requiring traders to switch to a Renko chart, this indicator calculates a Renko-style trend directly on the standard candlestick chart. The brick size can be set using ATR, a fixed percentage, or a static value. The Renko state is managed as a custom type that tracks the current level, direction, and brick boundaries.
When price moves by one brick size in the trend direction, the Renko level advances. When price reverses by the configurable reversal multiplier (default 2 bricks), the trend flips. The result is a stepped trend line overlaid on the chart that filters minor fluctuations and shows only significant directional changes.
4. Magnetic Field Visualization
The magnetic field creates a set of attraction levels around the mean price. These levels represent zones where price tends to gravitate based on the configurable field strength parameter. The field is calculated using the distance from the mean and the current ATR:
Strong attraction zone: Within 0.5x ATR of the mean — price tends to consolidate here
Moderate zone: 0.5x to 1.0x ATR from the mean — normal trading range
Weak zone: Beyond 1.0x ATR — price is extended and may revert
The magnetic field lines are drawn with gradient transparency, becoming more transparent as they move away from the mean, visually communicating the decreasing "pull" of the mean at greater distances.
5. Reversal and Resonance Detection
The indicator generates two types of signals:
Reversal signals: Triggered when price reaches the outer bands with momentum showing signs of exhaustion (RSI-based or rate-of-change based). These are plotted as directional markers on the chart.
Resonance signals: Triggered when multiple conditions align — price at a band extreme, ranging market detected, and volume above average. Resonance points represent higher-conviction mean reversion opportunities.
Visual Elements
Harmonic Bands: Upper and lower bands with gradient fill between them
Renko Trend Line: Stepped line showing the dominant trend direction
Range Box: Dynamic box highlighting the current consolidation range
Magnetic Field Lines: Gradient-colored attraction levels around the mean
Reversal Markers: Directional signals at potential turning points
Resonance Points: High-confluence mean reversion signals
Candle Coloring: Optional trend-based candle coloring
Dashboard: Displays trend direction, range status, band width, Renko state, and resonance count
Input Parameters
Range Detection:
Range Lookback (default 50)
ADX Length (default 14) and ADX Threshold (default 25)
Band Settings:
Band Style: ATR, Percentage, Standard Dev, or Harmonic
Band Length (default 20) and Band Multiplier (default 2.0)
Renko Settings:
Brick Size Style: ATR, Percentage, or Static
Brick Size (default 1.0) and Reversal Multiplier (default 2)
Magnetic Field:
Field Strength (0.1-2.0, default 1.0)
Visual Settings:
Show Candle Coloring, Gradient Fill, Dashboard, Glow Effects, Pulse Effects
How to Use This Indicator
Step 1: Check the dashboard for the current market regime. If the market is ranging, focus on the range box boundaries and magnetic field levels for mean reversion setups.
Step 2: In trending conditions, follow the Renko trend line. Stay with the trend as long as the Renko direction holds. A Renko reversal (direction flip) is a significant event that suggests the trend may be changing.
Step 3: Watch for price reaching the outer harmonic bands. In ranging markets, these represent potential reversal zones. In trending markets, they may indicate overextension.
Step 4: Look for resonance signals. These combine multiple conditions (band extreme + ranging + volume) and represent the highest-conviction mean reversion setups.
Step 5: Use the magnetic field levels as dynamic support and resistance. Price tends to gravitate toward the strong attraction zone near the mean.
Close-up showing reversal markers at band extremes with resonance signals highlighted during a ranging market, with the magnetic field gradient visible around the mean
Indicator Limitations
ADX-based range detection has an inherent lag. The transition from trending to ranging (and vice versa) is identified after it has already begun.
Harmonic bands use a fixed-frequency sine wave. Real market cycles are not perfectly periodic, so the harmonic modulation is an approximation.
Renko trend calculations on a candlestick chart are a simulation. They will not match a true Renko chart exactly due to differences in bar construction.
Reversal signals at band extremes do not guarantee reversals. In strong trends, price can ride the outer band for extended periods.
The magnetic field visualization is a conceptual tool for understanding mean reversion tendency, not a precise prediction of where price will go.
Performance may be affected on very low timeframes with many visual elements enabled. Consider reducing visual effects on sub-minute charts.
Originality Statement
This indicator is original in its synthesis of range detection, harmonic frequency analysis, and magnetic field visualization. While individual components (ADX range detection, Renko trends, Bollinger-style bands) are established concepts, this indicator is justified because:
The harmonic band mode introduces sine-wave modulation to create bands that rhythmically expand and contract, a method not found in standard band indicators
The magnetic field visualization provides a novel way to represent mean reversion tendency using gradient-based attraction zones
Combining Renko trend tracking with ADX range detection on a standard chart gives traders both trend-following and mean-reversion frameworks simultaneously
Resonance detection creates a multi-factor confluence signal by combining band position, range status, and volume conditions
The four-style band system (ATR, Percentage, StdDev, Harmonic) allows traders to adapt the indicator to different instruments and market conditions
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Range detection and band analysis are tools for understanding market structure, not guarantees of future price movement. Always use proper risk management. The author is not responsible for any losses incurred from using this indicator.
-Made with passion by officialjackofalltrades
Indicator
Uptrick: Quantum Divergence OscillatorIntroduction
Uptrick: Quantum Divergence Oscillator is a dual-mode oscillator designed to study market stretch, momentum imbalance, and potential reversal development. Instead of relying on a single oscillator formula, the script offers two analytical engines inside one indicator: a price-deviation oscillator and a standardized momentum oscillator.
Classic mode evaluates how far price has stretched away from an adaptive baseline estimate. Z-RSI mode evaluates how far RSI has stretched away from its own recent statistical distribution. These two approaches measure different types of imbalance and allow users to study reversal conditions from both price displacement and momentum behavior.
Beyond the oscillator itself, the script includes a trend overlay, histogram state coloring, overlay signal labels, background tinting during extreme conditions, chart coloring modes, a multi-timeframe dashboard, and alert conditions. The goal is to provide a structured workflow for monitoring exhaustion, reversal development, and broader directional context.
Overview
The indicator operates in two selectable modes.
Classic mode is a price-deviation oscillator that measures how far price has moved away from a smoothed equilibrium estimate. Z-RSI mode transforms RSI into a standardized Z-Score framework so that momentum strength or weakness is interpreted relative to its own recent behavior.
Both engines share the same surrounding framework: signal labeling, trend context, visual feedback through histogram and background coloring, multi-timeframe summaries, and alert support. The script therefore functions as both an oscillator study and a contextual analysis tool.
Originality and design logic
The script’s design is based on combining two complementary analytical models rather than modifying a single oscillator formula.
Classic mode focuses on price equilibrium. It builds an adaptive estimate of price using a Nadaraya-Watson kernel approach and then refines that estimate with KNN smoothing. The oscillator measures the deviation between price and that estimate and expresses it relative to current volatility using ATR normalization. This allows the oscillator to highlight situations where price is unusually stretched relative to a smoothed local value.
Z-RSI mode focuses on momentum distribution. Instead of using RSI with fixed thresholds such as 70 and 30, it evaluates whether RSI is statistically unusual compared with its recent behavior. Converting RSI to a Z-Score allows momentum extremes to be interpreted relative to their distribution rather than fixed levels.
These two engines therefore analyze different dimensions of market imbalance. Classic mode evaluates displacement from equilibrium, while Z-RSI evaluates momentum deviation from its statistical norm.
Classic mode engine
Classic mode begins with the selected price source and processes it through an adaptive smoothing workflow.
ATR is first calculated to determine the current volatility regime. The ATR percentile rank inside the Vol Rank Window modifies the effective lookback period and kernel bandwidth using the Adaptation Strength parameter. This allows the smoothing system to expand or contract according to volatility conditions.
A Nadaraya-Watson estimate is calculated from the source series. The estimate is then refined using a KNN smoothing pass that weights similar historical values in order to reduce residual noise. The deviation between price and the smoothed estimate is then measured and normalized by ATR so the oscillator reflects relative stretch rather than raw price distance.
The normalized series is smoothed with an EMA and scaled using a percentile-based reference window so that values typically remain within a range near −100 to +100. This produces the final Classic oscillator.
Dynamic overbought and oversold bands
Classic mode uses dynamic bands instead of fixed levels.
The base levels are +40 and −40. These levels expand or contract depending on the ATR percentile rank. When volatility increases the bands widen, and when volatility decreases they tighten. This helps maintain a consistent interpretation of stretch across changing market conditions.
The oscillator is considered overbought above the upper band and oversold below the lower band. Signals are generated when the oscillator exits these extreme zones rather than when it first enters them.
Regular divergence detection
Classic mode also includes pivot-based regular divergence detection.
The script confirms oscillator pivots using separate Left Bars and Right Bars settings. When a pivot low or pivot high is confirmed, the script compares it with prior pivots stored within the Max Lookback window.
A bullish regular divergence occurs when price forms a lower low while the oscillator forms a higher low. A bearish regular divergence occurs when price forms a higher high while the oscillator forms a lower high.
Because pivots require confirmation, divergence signals appear only after the configured Right Bars confirmation period.
An Occurrence Filter allows users to restrict signals to the first, second, third, fourth, or fifth divergence in a sequence, or to display all qualifying divergences.
Z-RSI mode
Z-RSI mode evaluates momentum using a standardized framework.
The script first calculates RSI from the selected source. It then calculates the mean and standard deviation of RSI over the Z-Score Lookback period. The current RSI value is converted into a Z-Score and smoothed with an EMA.
The resulting histogram shows how unusual the current RSI value is relative to its recent distribution.
Interpretation is organized around two sets of thresholds:
• ±1 represent signal thresholds
• ±2 represent statistical extremes
Values near zero indicate that RSI is close to its average behavior. Values above +2 or below −2 represent unusually strong or unusually weak momentum relative to recent conditions.
Signal events in this mode are threshold-based rather than pivot-based. Signals occur when the Z-Score transitions back through the configured threshold levels.
Histogram coloring and panel logic
Both modes use histogram coloring to communicate both oscillator position and short-term direction.
In Classic mode the histogram remains neutral between the dynamic bands. When the oscillator moves into overbought or oversold zones the color reflects both the zone and the slope of the oscillator.
In Z-RSI mode the same principle is applied to the ±2 extreme thresholds.
The oscillator panel can display additional visual elements including the zero line, dynamic thresholds, shaded zones, and a trend meter when Full Setup is enabled.
Trend overlay and trend meter
The script includes a trend overlay plotted directly on the price chart.
The trend line is created by smoothing the selected source using an EMA and then applying an additional smoothing pass. The slope of this line defines the current trend direction.
A vertical gradient fill is drawn between price and the trend line so that the distance between them is visually emphasized.
A horizontal trend meter is also displayed at the top of the oscillator panel. This band changes color according to the trend state and provides a persistent visual context while reading the oscillator.
Overlay signals and controls
Signal labels can be plotted directly on the price chart.
In Classic mode signals can be generated from divergence detection, overbought/oversold exits, or both. In Z-RSI mode signals are generated from threshold transitions defined by the ±1 and ±2 levels.
Labels are plotted on the bar where the signal is confirmed. For divergence events, the price level used for placement corresponds to the confirmed pivot price.
Direction filters allow signals to be restricted to bullish events, bearish events, or both directions.
Bar and candle coloring
The script provides three chart coloring modes.
Signal mode colors bars according to the most recent bullish or bearish signal state. Trend mode colors bars according to the current trend direction. Heat mode creates a continuous gradient derived from the oscillator value so that stronger positive values appear increasingly bearish and stronger negative values appear increasingly bullish.
These colors are applied both to bars and to candles plotted by the script.
Background tinting
The script can tint the chart background when extreme conditions occur.
In Classic mode the tint corresponds to the dynamic overbought and oversold zones. In Z-RSI mode the tint corresponds to the ±2 statistical extremes.
This feature provides an additional visual cue when the oscillator reaches conditions associated with strong momentum imbalance.
Dashboard and multi-timeframe context
The script includes a dashboard that summarizes the current state of the indicator.
The table displays the active mode, oscillator value, zone state, signal state, trend direction, and chart configuration. It also reports volatility or Z-Score statistics depending on the selected mode.
A multi-timeframe section summarizes trend direction and oscillator bias for the current timeframe together with 1H, 4H, and 1D data. These higher-timeframe values are derived from the Classic engine variables so the dashboard maintains consistent context even when Z-RSI mode is active.
Alerts
Alert conditions are included for bullish divergence, bearish divergence, oversold exits, overbought exits, and composite bullish or bearish signals. These alerts allow the script to be integrated into an active monitoring workflow.
Summary
Uptrick: Quantum Divergence Oscillator is a dual-engine oscillator designed to analyze market stretch through both price displacement and momentum distribution.
Classic mode studies how far price has moved away from an adaptive equilibrium estimate using kernel smoothing, KNN refinement, ATR normalization, and dynamic volatility-adjusted bands. Z-RSI mode evaluates momentum extremes by converting RSI into a Z-Score framework and interpreting signals relative to statistical thresholds.
Supporting features include a trend overlay with gradient fill, histogram state visualization, overlay signal labels, background extreme highlighting, flexible chart coloring modes, multi-timeframe dashboard context, and alert conditions.
Together these components provide a structured environment for studying exhaustion, momentum imbalance, and potential reversal development.
Disclaimer
This script is provided for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance does not guarantee future results.
Indicator
Heiken Ashi Break of Structure with Market Structure [by Hampeh]Description
This indicator is designed to identify high-probability trading entries by combining the trend-smoothing capabilities of Heiken Ashi candles with the powerful concept of a Break of Structure (BOS).
To enhance signal quality and reduce false signals, it incorporates a mandatory market structure confirmation filter, requiring a Higher Low (HL) to be established before a buy signal and a Lower High (LH) before a sell signal. The indicator automatically provides dynamic Stop Loss levels and generates real-time alerts to streamline the trading process.
How It Works
The indicator's logic is built upon several key components that work together to filter for high-quality setups.
1. Heiken Ashi Foundation The script uses Heiken Ashi candles as its foundation to reduce market noise and provide a clearer visualization of the underlying trend. This smoothing effect makes it easier to identify sustained directional moves.
2. Break of Structure (BOS) Identification The core entry trigger is a Break of Structure, defined as:
Bullish BOS (Buy Signal): The indicator first identifies a downtrend phase (red Heiken Ashi candles). It marks the opening price of this phase (redOpen). A buy signal is triggered when the trend reverses (turns green) and the Heiken Ashi close price breaks above this redOpen level.
Bearish BOS (Sell Signal): Conversely, it identifies an uptrend phase (green Heiken Ashi candles) and marks its opening price (greenOpen). A sell signal is triggered when the trend reverses (turns red) and the Heiken Ashi close price breaks below this greenOpen level.
3. Market Structure Confirmation (HL/LH Filter) This is the key filter that validates the strength of a potential new trend:
Higher Low (HL) for Buys: A buy signal is only considered valid if the low point of the most recent downtrend phase is higher than the low point of the previous downtrend phase. This confirms a classic "Higher Low" market structure, indicating that buying pressure is increasing.
Lower High (LH) for Sells: A sell signal is only considered valid if the high point of the most recent uptrend phase is lower than the high point of the previous uptrend phase. This confirms a "Lower High" structure, suggesting that selling pressure is building.
4. Dynamic Stop Loss Calculation The indicator provides a logical and dynamic Stop Loss for every signal:
For Buy Signals: The Stop Loss is automatically placed just below the lowest low (lowestLow) recorded during the entire preceding downtrend (red candle) phase.
For Sell Signals: The Stop Loss is placed just above the highest high (highestHigh) recorded during the entire preceding uptrend (green candle) phase.
5. Signal Generation and Visualization
A final BUY signal is generated only when all conditions are met: a bullish BOS occurs and it is preceded by a confirmed Higher Low.
A final SELL signal is generated only when all conditions are met: a bearish BOS occurs and it is preceded by a confirmed Lower High.
When a valid signal is triggered, a label appears on the chart displaying the entry price and the calculated Stop Loss. A corresponding alert is also fired with detailed trade information.
Summary of Strategy
In essence, this indicator waits for a pullback (a Heiken Ashi color change), confirms that the pullback respects bullish or bearish market structure (HL or LH), and then triggers an entry upon a Break of Structure in the intended direction.
Disclaimer : This indicator is a tool for technical analysis and does not guarantee profits. Trading financial markets involves significant risk. Always conduct your own research and practice proper risk management.
Indicator
Regression Slope Oscillator [BigBeluga]🔵 OVERVIEW
The Regression Slope Oscillator is a trend–momentum tool that applies multiple linear regression slope calculations over different lookback ranges, then averages them into a single oscillator line. This design helps traders visualize when price is extending beyond typical regression behavior, as well as when momentum is shifting up or down.
🔵 CONCEPTS
Regression Slope – Measures the steepness and direction of price trends over a selected length.
f_log_regression(src, length) =>
float sumX = 0.0
float sumY = 0.0
float sumXSqr = 0.0
float sumXY = 0.0
for i = 0 to length - 1
val = math.log(src )
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
slope*-1
Multi–Sample Averaging – Instead of relying on one regression slope, the indicator loops through many lengths (from Min Range to Max Range with Step increments) and averages their slopes.
multiSlope(length)=>
// Get regression slope
slope = f_log_regression(close, length)
slopAvg.push(slope)
for i = minRange to maxRange by step
multiSlope(i)
Color Gradient – The oscillator and candles are colored dynamically from oversold (orange) to overbought (aqua), based on slope extremes observed within the user–defined Color Range.
Trend Oscillation – When the oscillator rises, price trend is strengthening; when it falls, momentum weakens.
🔵 FEATURES
Calculates regression slopes across a user–defined range (e.g., 10–100 with steps of 5).
Averages all sampled slopes into a single oscillator line.
Dynamic coloring of oscillator and chart candles based on slope values.
User–controlled Color Range :
High values (e.g., 50–100) → interpret as overbought vs oversold zones.
Low values (e.g., 2–5) → interpret as slope rising vs falling momentum shifts.
Dashboard table (top–right) displaying number of slope samples and current averaged slope value.
Candle coloring mode (optional) – candles take on the oscillator gradient color for at–a–glance reading of trend bias.
Signal Line (SMA) – A moving average of the slope oscillator used to identify momentum reversals.
Bullish Reversal Signal – Triggered when the oscillator crosses above the signal line while below zero, indicating downside momentum exhaustion and potential trend recovery.
Bearish Reversal Signal – Triggered when the oscillator crosses below the signal line while above zero, indicating upside momentum exhaustion and potential trend rollover.
Dual Placement Signals – Reversal signals are plotted both:
On the oscillator pane (for momentum context)
On the price chart (for execution alignment)
Confirmation Logic – Signals are only printed on confirmed bars to reduce repainting and false triggers.
🔵 HOW TO USE
Watch the oscillator cross above/below zero: signals shifts in regression slope direction.
Use the signal line crossovers near zero to identify early trend reversals.
Use high Color Range settings to identify potential overbought/oversold extremes in trend slope.
Use low Color Range settings for a faster, momentum–driven color change that tracks slope rising/falling.
Candle coloring highlights short–term trend pressure in sync with the oscillator.
Combine reversal signals with structure, support/resistance, or volume for higher–probability entries.
🔵 CONCLUSION
The Regression Slope Oscillator transforms raw regression slope data into a smooth, color–coded oscillator. By averaging across multiple regression lengths, it avoids the noise of single–range analysis while still capturing trend extensions and momentum shifts.
With the addition of signal line crossovers and confirmed reversal markers, the indicator now provides both trend context and actionable momentum signals within a single regression-based framework. Indicator
PHEN ATLAS - Market Map & Playbook [PhenLabs]📊 PHEN ATLAS 🎂 #50 🎂
Version: PineScript™ v6
📌 Description
The PHEN ATLAS marks a historic milestone as the 50th official release from PhenLabs . This is a critical release you do not want to miss, serving as a comprehensive Market Map and Playbook designed to provide traders with a complete structural overview of price action. By synthesizing Market Structure, Liquidity concepts, and Regime detection, this script solves the problem of "analysis paralysis" by grading price action in real-time. It moves beyond simple indicators by offering a quantified "Playbook" that scores trade setups from 0 to 100, helping traders focus exclusively on high-probability opportunities while automating the complex math of position sizing and risk management.
🚀 Points of Innovation
Proprietary Scoring Engine: Unlike standard indicators, this script assigns a quantitative score (0-100) to every potential trade based on confluence factors like HTF alignment and displacement.
Dynamic Regime Detection: Features an integrated dashboard that classifies the market into specific phases (Expansion, Trend, Range) using ADX and EMA alignment logic.
Smart Liquidity Pools: Automatically identifies and visualizes resting liquidity, tracking when these pools are "swept" to generate high-probability reversal signals.
Integrated Trade Manager: Automates the calculation of Stop Loss, Take Profit (1:2 and 1:3), and Position Size based on account balance and risk percentage directly on the chart.
Multi-Mode Interface: Offers three distinct visual modes—Clean, Pro, and Sniper—allowing users to toggle between deep analysis and clutter-free execution instantly.
🔧 Core Components
Structure Module: Identifies Pivots, Break of Structure (BOS), and Change of Character (CHoCH) to define the current market bias.
Liquidity Engine: Plots liquidity pools at key swing points and detects "Sweeps" where price grabs liquidity before reversing.
Regime Filter: Uses a combination of EMAs (21/50) and ADX to determine if the market is trending or ranging, filtering out low-quality signals.
Setup Validator: Monitors for three specific setup types (Sweep, Snapback, FVG Retest) and triggers alerts only when specific scoring thresholds are met.
🔥 Key Features
Automated detection of High Timeframe (HTF) structure without repainting issues.
Real-time grading of price displacement to validate institutional intent.
Visual Risk/Reward boxes that automatically adjust to the volatility (ATR) of the asset.
Fair Value Gap (FVG) detection with auto-mitigation tracking to clean up the chart.
Customizable alerts for A+ setups, regime changes, and trade invalidations.
Detailed dashboard displaying current Trend, Phase, Bias, and the score of the last setup.
🎨 Visualization
Structure Points: Triangles for BOS and Diamonds for CHoCH events clearly mark trend shifts.
Liquidity Lines: Dotted lines extending from pivots indicate un-swept liquidity pools; these dim automatically when swept.
Setup Signals: Prominent "A+" labels appear on the chart when a setup meets the minimum score threshold defined by the user.
Risk Boxes: Color-coded boxes (Green for Long, Red for Short) show Entry, Stop Loss, and Take Profit levels visually.
Dashboard: A compact table in the bottom right corner provides a "Heads Up Display" of the market state.
📖 Usage Guidelines
Display Mode: Select between 'Clean' for signals only, 'Pro' for full analysis including FVGs and Structure, or 'Sniper' for only high-score setups.
HTF Timeframe: Sets the higher timeframe for structural analysis (Default: 240/4-Hour) to ensure you trade with the dominant trend.
Min Score for A+ Setup: Threshold (0-100) required to trigger a signal (Default: 83); increase this to filter for only the absolute best trades.
Risk %: Defines the percentage of your account you are willing to risk per trade (Default: 1.0%), used for the position size calculation.
Account Balance: Input your current capital (Default: 10,000) to receive accurate unit sizing for every trade setup.
ADX Threshold: Adjusts the sensitivity of the Regime detection filter (Default: 20) to determine when the market is trending versus ranging.
✅ Best Use Cases
Confluence Trading: Use the scoring system to filter discretionary entries, taking trades only when the system scores them above 80.
Prop Firm Trading: Utilize the built-in position size calculator to strictly adhere to risk management rules during evaluations.
Trend Following: Wait for the Regime Dashboard to show "Bullish Expansion" before taking Long "Snapback" entries.
Reversal Trading: Focus on "Sweep Reclaim" setups where price sweeps a liquidity pool and immediately closes back within range.
⚠️ Limitations
This tool is a trend-following and reversal system; it may produce lower scores during undefined, low-volatility chop.
The position size calculator is an estimation based on the entry candle; actual execution slippage is not accounted for.
HTF data relies on closed candles to prevent repainting, which may result in a slight lag during rapid volatility spikes.
💡 What Makes This Unique
Playbook Scoring: Most indicators just give a signal; PHEN ATLAS gives you a "Grade" (e.g., 85/100), allowing you to make informed decisions based on quality, not just frequency.
Context Awareness: The script understands "Market Regime" and creates a context-aware bias, rather than blindly firing signals in a range.
🔬 How It Works
Step 1 - Regime Definition: The script analyzes the 21/50 EMA relationship and ADX to define if the market is in a Trend or Range.
Step 2 - Structure & Liquidity: It maps key pivots and liquidity pools, waiting for a "Sweep" event or a structural break.
Step 3 - Setup Trigger: When a specific pattern occurs (like a Sweep Reclaim), the engine calculates a score based on displacement, volume, and key level alignment.
Step 4 - Execution Logic: If the score > Threshold, the Trade Manager calculates the invalidation point (SL) and projects 2R/3R targets automatically.
🎉 Message From The Team 🎉
2025 was an amazing year. 12 months of building, shipping, and improving together with you. Hitting our 50th indicator release marks one full year of weekly drops , and we couldn't have done it without this community, and of course, BIG thank you to PulseWire and it's team.
Thank you for all the feedback, charts, and support. Let's make 2026 even bigger. We can't wait to show you what we've been working on. 🚀
💡 Note
For best results, we recommend using the "Pro" mode during analysis to understand the narrative, and switching to "Sniper" or "Clean" during execution to maintain focus. Always ensure your "Account Balance" input matches your broker balance for accurate risk calculations. Indicator
Liquidity Strain Detector [MarkitTick]💡 This indicator provides a specialized method for detecting market anomalies where price movement becomes disconnected from typical volume profiles, signaling potential exhaustion events. By combining statistical analysis of liquidity (price impact) with a directional trend filter, the tool aims to highlight moments of extreme market stress, such as panic selling or euphoric buying, that often precede mean reversions or trend pauses.
● Originality and Utility
Standard volume indicators often look at raw volume levels, which can be misleading during different times of the day or across different assets. This script calculates the efficiency of moving price (Illiquidity) and normalizes it statistically. This allows the trader to see when the market is becoming thin or stressed relative to recent history. It is particularly useful for contrarian traders looking for capitulation points within established trends, offering a unique perspective beyond standard RSI or MACD divergence.
● Methodology
The core mechanism drives a custom Liquidity Engine that performs the following steps:
Price Impact Calculation: It computes the ratio of the True Range to Volume. High values indicate that price is moving significant distances on relatively low volume or that volatility is extreme relative to participation.
Normalization: The raw impact data is smoothed using a logarithmic scale to handle the wide variance in volume data.
Statistical Scoring (Z-Score): The script calculates the Z-Score of this normalized data over a user-defined lookback period. This determines how many standard deviations the current liquidity stress is away from the mean.
Trend Filtering: A standard Exponential Moving Average (EMA) determines the dominant market direction to contextualize the stress signal.
● How to Use
The indicator plots labels on the chart when specific High Stress conditions are met during a trend:
SE (Seller Exhaustion - Green Label): Appears when the market is in a downtrend (price below EMA), the current candle is bearish, and the liquidity stress Z-Score breaches the upper threshold. This suggests panic selling or a liquidity gap down, often marking a temporary bottom or reversal point.
BE (Buyer Exhaustion - Red Label): Appears when the market is in an uptrend (price above EMA), the current candle is bullish, and the liquidity stress Z-Score breaches the upper threshold. This suggests a melt-up or buying climax into thin liquidity, often preceding a pullback.
● Inputs
Trend Filter Length: The period for the EMA used to determine the baseline trend direction.
Statistical Lookback: The number of bars used to calculate the mean and standard deviation for the Z-Score.
Stress Threshold (Sigma): The Z-Score value required to trigger a high-stress signal. Higher values result in fewer, more extreme signals.
● 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. I 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
DCA Ladder CalculatorThis script is a DCA (Dollar-Cost Averaging) Ladder Calculator with Risk & Leverage Management baked in.
It’s designed for both LONG and SHORT positions, and helps you:
🎯 Strategically scale into positions across multiple entry points
🔐 Control risk exposure via defined capital allocation
⚖️ Utilize leverage responsibly — for efficiency, not destruction
🧮 Visualize risk, stop loss level, and entry distribution
🔁 Adapt to trend reversals or key zones, especially when combined with reversal indicators or higher timeframe signals
🧠 How It Works
This tool takes a capital allocation approach to building a ladder of positions:
1. You define:
- Portfolio value
- Risk per trade (as %)
- Leverage
- Number of DCA levels
- Entry multiplier (e.g. 1x, 2x, 4x...)
2. The script then:
- Calculates total margin to risk = Portfolio × Risk %
- Calculates total leveraged position size = Margin × Leverage
- Distributes entries according to exponential weights (1x, 2x, 4x...), totaling 7 for 3 levels
- Calculates per-entry:
- Entry price (based on price zone spacing)
- Multiplier
- Exact margin per entry
- Leverage per entry (margin × leverage)
- Computes:
- Average entry price (margin-weighted)
- Approximate stop loss level based on recent ATR and price structure
- % drawdown to SL
- Total margin and position size
3. Displays all this in a clean on-chart table.
📈 How to Use It
1. Apply the indicator to a chart (default: 1D — ideal for clean zones).
2. Configure your:
- Portfolio Value (total trading capital)
- Risk per Trade (%) (your acceptable loss)
- Leverage (exchange or strategy-based)
- DCA Levels (e.g. 3 = anchor + 2 entries)
- Multiplier (typically 2.0 for doubling)
3. Choose LONG or SHORT mode depending on direction.
4. The table will show:
- Entry price ladder
- Margin used per entry
- Total position size
- Approx. stop loss (where your full risk is defined)
Use in conjunction with price action, S/R zones, trendline breaks, volume divergence, or reversal indicators.
✅ Best Practices for Using This Tool
- Leverage is a tool, not a weapon. Use it to scale smartly — not recklessly.
- Use fewer, higher-conviction entries. Don’t blindly ladder; combine with price structure and signals.
- Stick to your risk percent. Never risk more than you can afford to lose. Let this calculator enforce discipline.
- Combine with other confirmation tools, like RSI divergence, momentum shifts, OB zones, etc.
- Avoid martingale-style over-exposure. This is not a gambling tool — it’s for capital efficiency.
🛡️ What This Tool Does NOT Do
- This is not a trade signal indicator.
- It does not place trades or auto-manage positions.
- It does not replace personal responsibility or strategy — it's a tool to help apply structure.
⚠️ Disclaimer
This script is for educational and informational purposes only.
It does not constitute financial advice, nor is it a recommendation to buy or sell any financial instrument.
Always consult a licensed financial advisor before making investment decisions.
Use of leverage involves high risk and can lead to substantial losses.
The author and publisher assume no liability for any trading losses resulting from use of this script. Indicator
AP Capital – Volatility + High/Low Projection v1.1📌 AP Capital – Volatility + High/Low Projection v1.1
Predictive Daily Volatility • Session Logic • High/Low Projection Indicator
This indicator is designed to help traders visually understand daily volatility conditions, identify session-based turning points, and anticipate potential highs and lows of the day using statistical behavior observed across thousands of bars of intraday data.
It combines intraday session structure, volatility regime classification, and context from the previous day’s expansion to highlight high-probability areas where the market may set its daily high or daily low.
🔍 What This Indicator Does
1. Volatility Regime Detection
Each day is classified into:
🔴 High Volatility (trend continuation & expansion likely)
🟡 Normal Volatility
🔵 Low Volatility (chop, false breaks, mean-reversion common)
The background color automatically adapts so you always know what environment you're trading in.
2. Session-Based High/Low Identification
Different global sessions tend to create different market behaviors:
Asia session frequently sets the LOW of day
New York & Late US sessions frequently set the HIGH of day
This indicator uses those probabilities to highlight potential turning points.
3. Potential High / Low of Day Projections
The script plots:
🟢 Potential LOW of Day
🔴 Potential HIGH of Day
These appear only when:
Price hits the session-statistical turning zone
Volatility conditions match
Yesterday’s expansion or compression context agrees
This keeps signals clean and prevents over-marking.
4. Clean Visuals
Instead of cluttering the chart, highs and lows are marked only when conditions align, making this tool ideal for:
Session scalpers
Day traders
Gold / NAS100 / FX intraday traders
High-probability reversal traders
🧠 How It Works
The engine combines:
Daily range vs 20-day average
Real-time intraday high/low formation
Session-specific probability weighting
Previous day expansion and volatility filters
This results in highly reliable signals for:
Fade trades
Reversal setups
Timing entries more accurately
✔️ Best Uses
Identifying where the day’s range is likely to complete
Avoiding trades during low-volatility compression days
Detecting where the market is likely to turn during major sessions
Using potential HIGH/LOW levels as take-profit zones
Enhancing breakout or reversal strategies
⚠️ Disclaimer
This indicator does not repaint, but it is not a standalone entry tool.
It is designed to provide context, session awareness, and volatility-driven turning points to assist your existing strategy.
Always combine with sound risk management. Indicator
Indicator
Indicator
Tristan's Tri-band StrategyTristan's Tri-band Strategy - Confluence Trading System
Strategy Overview:
This strategy combines three powerful technical indicators - RSI, Williams %R, and Bollinger Bands - into a single visual trading system. Instead of cluttering your chart with separate indicator panels, all signals are displayed directly on the price chart using color-coded gradient overlays, making it easy to spot high-probability trade setups at a glance.
How It Works:
The strategy identifies trading opportunities when multiple indicators align (confluence), suggesting strong momentum shifts:
📈 Long Entry Signals:
RSI drops to 30 or below (oversold)
Williams %R reaches -80 to -100 range (oversold)
Price touches or breaks below the lower Bollinger Band
All three conditions must align during your selected trading session
📉 Short Entry Signals:
RSI rises to 70 or above (overbought)
Williams %R reaches 0 to -20 range (overbought)
Price touches or breaks above the upper Bollinger Band
All three conditions must align during your selected trading session
Visual Indicators:
(faint) Green gradients below candles = Bullish oversold conditions (buying opportunity)
(faint) Red/Orange gradients above candles = Bearish overbought conditions (selling opportunity)
Stacked/brighter gradients = Multiple indicators confirming the same signal (higher probability) will stack and show brighter / less faint
Blue Bollinger Bands = Volatility boundaries and mean reversion zones
Exit Strategy:
Long trades exit when price reaches the upper Bollinger Band OR RSI becomes overbought (≥70)
Short trades exit when price reaches the lower Bollinger Band OR RSI becomes oversold (≤30)
Key Features:
✅ Session Filters - Trade only during NY (9:30 AM-4 PM), London (3 AM-11:30 AM), or Asia (7 PM-1 AM EST) sessions
✅ No Repainting - Signals are confirmed on candle close for realistic backtesting and live trading
✅ Customizable Parameters - Adjust RSI levels, BB standard deviations, Williams %R periods, and gradient visibility
✅ Visual Clarity - See all three indicators at once without switching between panels
✅ Built-in Alerts - Get notified when entry and exit conditions are met
How to Use Effectively:
Choose Your Trading Session - For day trading US stocks, enable only the NY session. For forex or 24-hour markets, select the sessions that match your schedule.
Look for Gradient Stacking - The brightest, most visible gradients occur when both RSI and Williams %R signal together. These are your highest-probability setups.
Confirm with Price Action - Wait for the candle to close before entering. The strategy enters on the next bar's open to prevent repainting.
Respect the Bollinger Bands - Entries occur at the outer bands (price extremes), and exits occur at the opposite band or when momentum reverses.
Backtest First - Test the strategy on your preferred instruments and timeframes. Works best on liquid assets with clear trends and mean reversion patterns (stocks, major forex pairs, indices).
Adjust Gradient Visibility - Use the "Gradient Strength" slider (lower = more visible) to make signals stand out on your chart style.
Best Timeframes: 5-minute to 1-hour charts for intraday trading; 4-hour to daily for swing trading (I have also found the 3 hour timeframe to work really well for some stocks / ETFs.)
Best Markets: Liquid instruments with volatility - SPY, QQQ, major stocks, EUR/USD, GBP/USD, major indices
Risk Management: This is a mean reversion strategy that works best in ranging or choppy markets. In strong trends, signals may appear less frequently. Always use proper position sizing and stop losses based on your risk tolerance.
----------------------------------------------
Note: Past performance does not guarantee future results. This strategy is provided for educational purposes. Always backtest thoroughly and practice proper risk management before live trading.RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5 Strategy
