Market Structure SwingsThis indicator marks price swings in three levels: regular, intermediate, and major. It helps show which highs and lows are minor turns and which are more important structure points.
Indicator
Pivot Points
Auto Fibonacci LevelsAuto Fibonacci Levels is a dual Fibonacci retracement indicator that automatically detects swing highs and swing lows and plots Fibonacci levels between them in real time — no manual drawing required. It runs two completely independent Fibonacci sets simultaneously, allowing you to track retracements across two different swing sizes at the same time.
How It Works:
The indicator uses a pivot detection algorithm that scans a defined number of bars to identify the most recent significant swing high and swing low. Once a swing is identified, an anchor line is drawn connecting the two points, and Fibonacci retracement levels are automatically calculated and plotted from that range. As new swings form, the levels update dynamically.
Settings Breakdown:
Pivot Sensitivity - Controls how many bars back the indicator looks to identify a swing high or low. Lower values detect smaller, more frequent swings. Higher values require larger price moves before registering a new swing. Accepts any value from 1 to 500.
Show Anchor Line - Toggles the visibility of the diagonal line connecting the swing high and swing low. The anchor line visually represents the range the Fibonacci levels are drawn from.
Line Color - Sets the color of the anchor line.
Line Style - Sets the style of the anchor line — Solid, Dashed, or Dotted.
Line Thickness - Sets the thickness of the anchor line from 1 to 5.
Show Levels - Master toggle that turns all Fibonacci level lines on or off at once without affecting the anchor line.
Extend Level Lines - When enabled, stretches all Fibonacci level lines leftward to the beginning of the anchor line, so the levels span the full width of the detected swing range rather than only appearing at the right side of the chart.
Individual Levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0) - Each level has its own show/hide toggle, adjustable value, and color picker. This allows you to display only the levels you trade with and color-code them however you prefer. Values are fully editable so you can substitute any custom retracement or extension levels you want.
Show Recent Fib Levels - When enabled, displays the previous Fibonacci sets from recently completed swings alongside the current active set. Historical sets are rendered progressively more transparent the older they are, making it easy to distinguish past ranges from the current one. Anchor lines are included for each historical set.
Recent Fib Count - Controls how many previous Fibonacci sets are displayed, from 1 to 5. Only fully completed swings are shown — the current active set is never duplicated.
Final Notes:
Both Fibonacci sets are fully independent and can be configured separately. The indicator is non-repainting within its current bar — levels update as new swings are confirmed. Works on all timeframes and all asset classes
Indicator
TheStrat Markov Percentages RoadmapTheStrat Markov Percentages Roadmap
Overview
The Markov Percentages Roadmap is a high-precision statistical engine designed for practitioners of The Strat. It bridges the gap between objective price action patterns and mathematical probability. By combining the structural rules of Broadening Formations (BF) with a historical Markov-style audit, this indicator calculates the real-world frequency of setups reaching user-defined "Reaction Zones."
Trading is not about being "right"; it is about understanding the frequency of success for a specific setup within a specific structural context. This roadmap provides the evidence.
The Background: Why "Markov"?
In probability theory, a Markov Chain is a model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event.
In this indicator, we apply that logic to price action:
Current State: A specific "Strat" trigger (e.g., a Failed 2, a 2-1-2 Reversal, or a Continuation).
Next State: Price entering your user-defined Reaction Zone (defaulted to the 50% and 70% levels).
The Roadmap scans your historical data (Stat Lookback) to find every instance where a setup occurred and calculates exactly how many of those "states" successfully transitioned into the "Zone" within your chosen time horizon (Success Window).
Core Features
1. The Iron-Clad Anchor
The indicator locks onto the previously closed Higher Timeframe (HTF) candle. This ensures that the structural levels (BF High and BF Low) remain perfectly horizontal and fixed for the duration of the session. There is zero "lagging" or "trailing"—the goalposts are set before the first bar of the current session even opens.
2. Automatic Polarity Correction
Standard Fibonacci retracements often require manual flipping when the trend changes. This engine automates that logic.
Bullish HTF Candle: The 50/70 zone is measured down from the High (Reclaim/Retracement logic).
Bearish HTF Candle: The 50/70 zone is measured up from the Low (Reclaim/Retracement logic).
3. The Structural "Zoom Lens"
Using the Structure Lookback input, you can define your playing field:
Lookback = 1: Anchors the roadmap to the single prior HTF candle.
Lookback = 70+: Anchors the roadmap to the extremes of a major multi-day Broadening Formation.
4. The Statistical Dashboard
The real-time table provides a granular audit of:
Count: Total occurrences of the setup within the lookback period.
Prob. To Zone: The percentage frequency of that setup hitting your target.
Prob. To High/Low: The likelihood of price reaching the structural extremes.
How to Use the Roadmap
Identify the Playing Field: Set your Structural Timeframe (e.g., 4H) and Lookback.
Define the Goal: Input your Floor and Ceiling percentages (e.g., 50% and 70%).
Audit the Evidence: Check the dashboard for the setup currently triggering on your execution chart (e.g., 15m). If the "Prob. To Zone" is high (e.g., >65%), the roadmap suggests a high-probability "Reclaim" trade is in play.
Project the Move: Use the Extension Bar Count to project the current levels into the future space, allowing you to visualize the price's trajectory toward the target.
Disclaimer
This indicator is a statistical analysis tool based on historical price action. It does not provide financial advice, nor does it guarantee future results. Trading involves significant risk. The Markov probabilities generated are for educational and research purposes only.
Visual Settings Tip: If you use a light-colored chart, remember to adjust the "Table Text Color" in the Visuals group to ensure all statistical data is clearly visible.
Indicator
Wedge Chart Patterns [SSFX]Wedge Chart Patterns
Wedge Chart Patterns is a pattern-based breakout indicator designed to detect rising wedge and falling wedge formations, then transform valid breakouts into structured trade setups with predefined entry, stop loss, and take profit levels.
The script is built for traders who want more than simple visual pattern recognition. Instead of only drawing wedge structures, it filters breakouts using candle body strength, then projects a complete risk framework directly on the chart. This makes the tool suitable for both discretionary chart reading and systematic trade planning.
What this indicator does ?
This indicator continuously scans price action using pivot-based structure detection to identify wedge formations. Once a valid wedge is found, it tracks the upper and lower converging trendlines in real time and waits for a breakout in the expected direction.
A breakout is only considered tradable when the breakout candle shows enough conviction. The script measures the candle body as a percentage of the entire candle range and only allows entries when that body percentage is above a user-defined threshold. This helps filter out weak breakouts and reduce low-quality signals caused by indecision candles or excessive wicks.
After a valid breakout is confirmed, the indicator automatically builds a complete trade map:
✅ Entry level
✅ Stop loss
✅ Take profit
✅ Risk zone fill
✅ Reward zone fill
These levels are displayed directly on the chart and can be retained for the most recent trades for review and post-analysis.
Main features
✅ Detects rising wedges and falling wedges
✅ Uses pivot-based structure logic to form converging trendlines
✅ Validates wedge integrity before breakout
✅ Filters breakouts using minimum candle body percentage
✅ Generates long and short entry signals
✅ Supports multiple stop loss methods
✅ Supports risk-reward or fixed-point take profit
✅ Draws entry, SL, TP directly on the chart
✅ Adds filled SL/TP zones for fast visual trade reading
✅ Keeps the last several trade setups on screen
Best use cases
It can be used on multiple asset classes, including forex, gold, indices, crypto, and stocks, though results will depend on symbol behavior, timeframe, volatility conditions, and user settings.
Notes
This script is designed as a charting and trade-planning tool, not a guarantee of performance. Wedge patterns can fail, and breakout confirmation does not eliminate market risk. Users should always forward-test and adapt settings to the instrument and timeframe they trade.
Indicator
Trend Hunter v1.5Trend Hunter
A multi-timeframe WaveTrend momentum system with an integrated dashboard, Cipher B-style Money Flow, and instrument-specific entry alerts.
What it does
Trend Hunter calculates WaveTrend oscillators across six timeframes (4H, 1H, 30m, 15m, 5m, 1m) simultaneously and displays their state, value, and Money Flow direction in a compact overlay dashboard. It identifies pullback entries within established higher-timeframe trends by detecting fresh WaveTrend crossovers on lower timeframes while higher timeframes confirm directional bias.
How WaveTrend works
WaveTrend (originally by LazyBear) is a normalized momentum oscillator. It measures how far price deviates from its exponential moving average, normalizes that deviation, then smooths the result. Two lines are produced: WT1 (the main signal, EMA of the normalized channel index) and WT2 (a simple moving average of WT1). When WT1 crosses above WT2, a bullish dot appears. When it crosses below, a bearish dot appears. Overbought is above +53/+60, oversold below -53/-60.
The key insight this indicator exploits: when higher timeframes are trending (WT1 > WT2) and a lower timeframe pulls back below the zero line and then crosses bullish again, that pullback entry has a statistical edge over random entries. Backtesting across 6-17 months of data confirmed this for Gold (PF 1.51), Bitcoin (PF 1.17), and Ethereum (PF 1.12).
Money Flow (Cipher B method)
Instead of traditional volume-based MFI (which is unreliable on CFD instruments where broker volume is tick count, not real volume), this indicator uses the Cipher B approach: the ratio of candle body size to total candle range, smoothed over 60 periods. This produces a volume-independent momentum wave that oscillates around zero. Green = buying pressure dominant, red = selling pressure dominant. This works identically on forex, CFDs, crypto, and futures.
The formula: SMA((close - open) / (high - low) * 150, 60) - 2.5
Multi-timeframe dashboard
The overlay table shows each enabled timeframe's trend state (BULL/BEAR), WT1 value, Money Flow direction, and whether a fresh crossover dot just appeared (NEW). This eliminates the need to flip between timeframes manually. Timeframes are individually toggleable.
Instrument-specific alerts
Three backtested entry configurations are built in, each symbol-locked so they only fire on the correct instrument:
Gold/Silver (XAUUSD/XAGUSD): 4H and 1H both bullish, 1H WT still below zero, 5m green dot with WT2 below -10. This configuration produced the strongest backtest results (Profit Factor 1.51 across 350 trades). Recommended exit: fixed 1:3 risk-reward.
Bitcoin (BTCUSDT): 1H bullish, 1H WT still below zero, 5m green dot with WT2 below -20. Marginal edge (PF 1.17). Recommended exit: WT overbought (+53).
Ethereum (ETHUSDT): 1H bullish, 1H WT still below zero, 5m green dot with WT2 at or below zero. Marginal edge (PF 1.12). Recommended exit: WT overbought (+53).
All instrument alerts fire once per cycle. A cycle resets only when the 1H WaveTrend crosses back through the zero line in the setup direction, ensuring the alert cannot re-fire on brief oscillations near the crossover point.
Short-side alerts use the inverse logic with flipped thresholds.
Additional alerts
Generic green/red dot alerts on the current chart timeframe, filtered dot alerts (oversold/overbought only), generic HTF pullback alerts (4H+1H bias with LTF dot below zero), full alignment alerts (all enabled timeframes agree), and Money Flow zero-cross alerts.
How to use
Add the indicator to a 5m chart of your instrument. Enable the "Any alert() function call" alert to receive all relevant signals. The dashboard provides at-a-glance multi-timeframe context. Use the instrument alerts as entry candidates and confirm with price action, support/resistance levels, and risk management before entering.
This indicator does not generate buy/sell orders. It identifies statistical pullback setups within established trends. Not every alert is a trade.
Settings
WaveTrend parameters default to 9/12/3 (matching Cipher B). Money Flow defaults to period 60, multiplier 150. All inputs are accessible in settings but hidden from the status line by default to keep the chart clean. Dashboard position and size are configurable.
Credits
WaveTrend calculation based on LazyBear's WaveTrend with Crosses. Money Flow concept inspired by Cipher B's volume-independent approach. Multi-timeframe architecture and instrument-specific alert system are original.
Indicator
Ram-ban : Pivot points TF adjustedThis is a version of pivot points that works with Nifty Spot and specifically Options chart.This can be used for similar Indian indices as well.
It plots Support/Resistances where buy/sell can be taken.
Please do your own research and take trade. This can be used as a reference to take a trade and should not be treated as a full fledged setup.
A more sophisticated version is in Pipeline.
Indicator
AG Pro Pivot Cluster Survival Map [AGPro Series]AG Pro Pivot Cluster Survival Map
Overview / What it does
AG Pro Pivot Cluster Survival Map is an overlay tool that evaluates the durability of nearby pivot clusters rather than focusing on a single pivot reaction. The script groups Daily, Weekly, and Monthly Classic Pivot levels when they compress into the same price neighborhood, then measures how well that cluster has held up under repeated interaction.
The goal is not to label every pivot touch as strong or weak. The goal is to show whether a pivot-derived zone has continued to absorb pressure, remain structurally relevant, or lose stability over time. This makes the script suitable for users who want to monitor confluence-based pivot structure instead of isolated one-bar reactions.
The visual model is intentionally compact. The script highlights the nearest upper cluster and the nearest lower cluster, assigns a survival score to each side, and displays a pressure readout for the dominant active zone. The result is a map of pivot-cluster durability, not a generic support/resistance overlay and not a simple reaction detector.
Unique Edge
The distinguishing feature of this script is its focus on pivot-cluster survival.
Many pivot tools concentrate on one level at a time. Many reaction tools classify the immediate response after a touch, reclaim, or rejection. This script approaches the problem differently. It asks whether multiple pivot levels from different higher timeframes are compressing into the same zone, and whether that zone is still surviving repeated market interaction.
That difference matters.
This script does not score a single bounce. It does not try to predict a reversal from one isolated pivot event. It evaluates whether a pivot cluster remains durable after tests, inside-zone pressure, breaches, and time spent without structural failure.
Within the AG Pro catalog, this script is materially different from AG Pro Pivot Points Reaction Map. Pivot Points Reaction Map is centered on reaction quality at pivot levels. Pivot Cluster Survival Map is centered on cluster durability, confluence density, and survival under pressure. In other words, one evaluates the response; the other evaluates the staying power of the pivot cluster itself.
It is also different from broader level-survival or support/resistance tools because the source engine here is explicitly pivot-derived. The script is built around Daily, Weekly, and Monthly Classic Pivot families, then transformed into a confluence-survival framework.
Methodology
The current version uses Classic Pivot calculations from higher timeframes.
1. Daily, Weekly, and Monthly pivot levels are collected.
2. Nearby pivot levels are grouped into clusters when they fall within the active cluster width.
3. The script selects the nearest upper cluster and the nearest lower cluster relative to current price.
4. Each selected cluster is evaluated with a survival model.
The survival model is based on factors such as:
- cluster density
- higher-timeframe participation
- repeated tests
- rejection behavior
- inside-zone pressure
- breach frequency
- time since structural failure
A higher survival score suggests that the cluster has remained more durable under recent interaction. A higher pressure reading suggests that the cluster is experiencing more structural stress.
The chart display is intentionally selective. Instead of plotting every pivot line independently, the script concentrates on the nearest relevant clusters and presents them as zones with a backbone line and state label. This is designed to keep the structure readable.
States / Signals
The script uses state-based interpretation rather than directional promises.
Typical state classifications include:
- Stable
- Strengthening
- Balanced
- Under Stress
- Fragile
- Failed
These states are derived from the relationship between survival and pressure. They are meant to describe the condition of the cluster, not to issue a guaranteed trading outcome.
The panel summarizes:
- nearest upper cluster
- nearest lower cluster
- dominant survival side
- cluster pressure
- pivot mix currently included in the model
The script can also generate alert conditions for:
- cluster strengthening
- cluster failure
- cluster reclaim behavior
These alerts are deterministic conditions derived from the script logic. They are informational and should be interpreted within a broader market workflow.
Key Inputs
Pivot Formula
This version is intentionally limited to Classic Pivots in order to keep the clustering and scoring model consistent.
Include Daily / Weekly / Monthly
These settings control which higher-timeframe pivot families are included in the cluster engine.
Cluster ATR Width
Controls how aggressively nearby pivot levels are merged into the same cluster using ATR-based spacing.
Cluster Percent Width
Adds a percentage-based width floor so clusters remain practical across different price scales.
Minimum Levels Per Cluster
Controls how many pivot levels are required before a true cluster is recognized.
Survival Lookback
Defines the observation window used for the durability calculations.
Visual Controls
The script includes settings for cluster visibility, labels, backbone lines, panel location, and font sizes.
Limitations & Transparency
This script is a structural reading tool. It is not a prediction engine.
A high survival score does not guarantee that price will reverse, hold, or trend from that area. A low survival score does not guarantee immediate failure. The values should be read as condition metrics for pivot-derived zones.
Because the script groups pivot levels into clusters, output can vary depending on volatility, symbol characteristics, and timeframe context. On some symbols, one side may show a stronger cluster than the other. On some charts, one side may temporarily rely on a weaker fallback anchor when cluster density is limited.
This script does not attempt to replace market structure analysis, higher-timeframe context, liquidity analysis, or risk management. It is intended to organize pivot confluence into a readable survival framework.
What this script is not:
- not a buy/sell signal engine
- not a guarantee of support or resistance
- not a standalone trade system
- not a future-price prediction model
Risk Disclosure
This script is for chart analysis and decision support only. It does not provide financial, investment, or trading advice. Markets can move unpredictably, and no indicator can eliminate risk.
Users should evaluate signals, states, and cluster conditions together with their own process, timeframe alignment, and risk controls before making any decision.
Indicator
MTF Zig ZagMTF ZigZag Pivot & Structure Tracker
A multi-timeframe market structure indicator that identifies, tracks, and visualizes significant pivot highs and lows using higher timeframe data, while projecting them onto the current chart for precise execution context.
Detects pivot highs and lows using a configurable higher timeframe (MTF) ZigZag logic to map true structural swings.
Tracks real-time formation of HTF candles to accurately anchor pivots to the exact bar where structure forms.
Draws dynamic ZigZag lines to visualize market direction and structural transitions between highs and lows.
Generates percentage-based move labels between pivots to quantify momentum and expansion.
Plots optional price labels at each pivot for precise level identification.
Extends horizontal lines from historical pivots to highlight key support and resistance zones.
Includes optional Bollinger Bands and EMA overlays for additional context on volatility and trend.
Uses array-based state management to efficiently store, update, and limit historical pivot data.
Provides alerts for newly formed higher timeframe pivot highs and lows.
// Core concept:
// - Pull HTF data via request.security
// - Detect swing highs/lows using period-based logic
// - Track pivot direction changes
// - Store pivots in arrays (value + bar index)
// - Render ZigZag lines, labels, and horizontal S/R levels
// - Optionally overlay EMA + Bollinger Bands for confluence
Indicator
AG Pro Pivot Points Reaction Map [AGPro Series]AG Pro Pivot Points Reaction Map
Overview / What it does
AG Pro Pivot Points Reaction Map is an overlay indicator designed to analyze how price behaves around classical pivot levels rather than only plotting those levels as static horizontal references. The script builds Daily or Weekly pivot structures from prior period OHLC data and then tracks the currently active pivot in order to highlight nearby price interaction, reaction quality, and short-term context.
Instead of treating every pivot line equally at all times, the script uses an active-pivot framework. This allows the chart to stay focused on the level that is currently most relevant to price while still keeping broader pivot structure visible in the background. The goal is to help traders evaluate whether price is reacting constructively, rejecting, reclaiming, compressing, or losing a key pivot area.
The visual design is intentionally split into two layers. The first layer is the classical pivot structure itself, including PP, R1, S1, and optional extended levels such as R2 and S2. The second layer is the reaction map built around the active pivot. This layer adds an ATR-based reaction zone, state detection, filtered event labeling, active context tags, and an information panel so the chart can communicate more than a simple “price above” or “price below” condition.
This indicator is intended for chart analysis, workflow support, and structured market reading. It does not attempt to predict future prices, and it should not be interpreted as a standalone trade execution system. It is best used as a contextual overlay that helps organize price behavior around widely followed pivot references.
Unique Edge
The core distinction of this script is that it is not just another pivot plotting tool. Classical pivot indicators usually stop at drawing levels. This script continues one step further by evaluating reaction behavior around the currently active level.
Its main differentiator is the active reaction framework. The script identifies a current pivot focus, builds a dynamic reaction zone around that level, and then classifies price interaction into states such as reclaim, loss, holding behavior, rejection behavior, and compression near pivot. This moves the indicator away from passive level display and toward structured price-context mapping.
A second differentiator is the sticky active pivot logic. Instead of shifting focus too aggressively whenever price becomes marginally closer to a different level, the script attempts to keep chart attention anchored to the current active pivot until conditions justify a transition. This improves visual continuity and makes the chart easier to read during multi-bar interaction.
A third differentiator is signal hygiene. Reaction labels can be filtered through cooldown logic, score thresholds, and event selection rules so that the chart remains readable. Major events can be emphasized while weaker or more repetitive reactions remain in the background. This helps preserve interpretability instead of overwhelming the screen with every minor touch.
Finally, the script combines chart-side cues with a compact state panel. The panel reports the active pivot, pivot price, current distance, live state, last score, and directional bias. This allows users to scan the present context without losing the full visual relationship on the chart.
Methodology
The pivot engine uses prior Daily or Weekly OHLC values to construct standard pivot levels. These levels form the structural base of the indicator. Depending on settings, the script can display the central pivot point together with first and second resistance/support layers.
From that structure, the script evaluates which pivot is currently most relevant to price and assigns that level as the active pivot. A sticky selection process is then used so the active focus does not rotate too easily on minor fluctuations. This helps the script behave more like a context map and less like a constantly flickering nearest-line tracker.
Around the active pivot, the script builds a reaction zone using ATR. This means the mapped zone adapts to the instrument’s recent volatility rather than using a fixed absolute distance. A wider volatility environment naturally leads to a wider interaction zone, while a calmer environment keeps the zone tighter.
Inside that zone, the script studies price behavior using a combination of position relative to the pivot, candle body structure, wick emphasis, and short-term displacement from the level. It also computes a reaction score designed to quantify how constructive or decisive the interaction appears under the script’s logic. Stronger reclaim or rejection characteristics can therefore stand out from weaker, noisier touches.
The result is a layered read of market structure:
- classical pivot references define the environment,
- the active pivot identifies current relevance,
- the ATR-based zone frames the interaction area,
- event logic classifies notable reactions,
- the panel summarizes the current state.
Signals & Alerts
The script can identify and label several reaction types around the active pivot. Depending on settings and score thresholds, these may include reclaim events, pivot loss events, reaction holding behavior, and reaction rejection behavior.
In addition to chart labeling, the script includes alert conditions for major workflow events. These are designed to notify the user when price is showing a notable interaction around the active pivot. Available alert categories include bullish reaction confirmation, bearish reaction confirmation, pivot loss confirmation, compression near pivot, and active pivot changes.
Because this is a contextual indicator rather than a complete strategy, alerts should be interpreted as informational events. They are intended to help users monitor evolving price behavior around important pivot areas, not to replace independent analysis, execution rules, or risk management.
Key Inputs
Pivot Anchor
Selects whether the pivot structure is built from Daily or Weekly source data.
Show R2 / S2
Allows the extended pivot structure to remain visible for users who want broader context beyond PP, R1, and S1.
Base Pivot Line Width / Active Pivot Line Width
Controls the visual hierarchy between background pivot references and the currently active pivot.
Reaction Zone (ATR Multiplier)
Defines the width of the active reaction zone relative to recent volatility.
Wick Emphasis
Adjusts how strongly wick behavior contributes to reaction interpretation.
Signal Cooldown (Bars)
Prevents labels and events from clustering too tightly during noisy price interaction.
Show Reaction Labels / Label Mode / Minimum Label Score
Controls which reaction labels appear on the chart and how selective the script should be.
Focus Mode
Adjusts how aggressively non-active pivot lines fade into the background.
Reaction Label Size
Changes the chart label size for reaction events and edge tags.
Show Event Markers / Show Active Pivot Halo / Show Right Edge Active Tag
Controls optional visual layers that can make the active structure easier to follow.
Passive Context Tags
Adds simplified right-edge tags for passive pivot references so faded background levels remain interpretable.
Show Info Panel / Panel Position / Panel Theme / Panel Font Size
Configures the summary panel to match user preference and chart layout.
Limitations & Transparency
This script is based on classical pivot concepts and volatility-adjusted reaction mapping. It does not know future price direction, and it does not forecast whether any pivot will hold or fail before price interacts with that area.
Reaction labels and scores are formula-driven representations of the script’s internal logic. They are not objective truth statements about market intent, and they should not be interpreted as guaranteed support, guaranteed resistance, or guaranteed continuation/reversal behavior.
Like all level-based overlays, the script can produce different impressions depending on the selected timeframe, instrument volatility, and chart conditions. Fast-moving instruments, low-liquidity environments, and sudden news-driven candles may reduce the practical value of any fixed structural framework, including pivots.
The active pivot model is intentionally selective. That improves chart focus, but it also means the script emphasizes one current pivot context over other simultaneously visible levels. Users who want a broader or more aggressive level-tracking style may prefer different settings than the default configuration.
The indicator is also not a backtesting engine and does not provide complete entry, exit, stop, or position sizing logic. It should therefore be used as one analytical component within a broader decision process.
Risk Disclosure
This indicator is for analytical and educational use only. It does not provide investment advice, trading advice, or financial advice.
Markets involve risk. Price can move through pivot levels without respecting them, reaction quality can deteriorate quickly, and conditions that appear constructive on one bar can fail on the next. No indicator can remove uncertainty from live markets.
Users should evaluate this script together with their own market framework, timeframe selection, execution process, and risk controls. Decisions involving capital should never rely on a single indicator, label, panel reading, or alert event in isolation.
Indicator
Camarilla R5 S5 Weekly Reversal Strategy 🏷️ Title
Camarilla R5 S5 Weekly Reversal Strategy
📄 Short Description (Appears in Preview)
A mean reversion strategy using weekly Camarilla pivot extremes R5 and S5 with targets at R4 and S4. Designed to capture reversals from overextended price zones.
📘 Full Description (Copy-Paste Ready)
📌 Overview
This strategy is based on Camarilla Pivot Points, focusing on extreme reversal levels R5 and S5 derived from the previous week's price action.
It is designed to capture mean reversion moves when price becomes overextended and shows signs of rejection.
⚙️ How It Works
The script calculates weekly Camarilla levels using:
Previous Week High
Previous Week Low
Previous Week Close
From this, it derives key reversal zones:
R5 Extreme Resistance
R4 Target for Short Trades
S5 Extreme Support
S4 Target for Long Trades
📈 Entry Conditions
Short Entry
Price touches or moves above R5
Candle closes back below R5
Indicates rejection from extreme resistance
Long Entry
Price touches or moves below S5
Candle closes back above S5
Indicates rejection from extreme support
🎯 Exit Conditions
Short trades exit at R4
Long trades exit at S4
No stop loss is used
💡 Strategy Concept
This strategy follows a mean reversion approach:
R5 and S5 represent extreme market conditions
Price tends to revert toward equilibrium levels
Reversal probability increases at these zones
🚀 Best Use Cases
Crypto markets (BTC, ETH)
Forex pairs
Index trading
Recommended timeframes:
5 minutes
15 minutes
1 hour
📊 Advantages
Simple and rule based
Uses higher timeframe levels for strong signals
Non repaint logic based on previous weekly data
Clear entry and exit conditions
⚠️ Limitations
No stop loss included
Can underperform in strong trending markets
Requires proper risk management
⚠️ Disclaimer
This strategy is for educational purposes only.
Trading involves risk. Always test and validate before using in live markets.
Strategy
Full Indicador v3.0 - By Claudio HerreraThis script combines several custom indicators to create a configuration that adapts to all timeframes.
The Domenec Tunnel, with its custom, modified moving averages, allows us to always know where we stand. The moving averages and correction tapes, calibrated to fit any chart, provide a visual advantage during analysis, enabling us to quickly recognize trends and critical areas.
The color-coded indicator adds extra value by highlighting "strength/weakness/doubt" in the movement or direction, as well as indicating whether an impulse is strong enough to sustain over time. It allows us to quickly recognize trend exhaustion and reversals.
The inclusion of ICT indicators, support and resistance levels, trend lines, market structure, and FVG detection allows us to identify areas of interest with high volume where the price consistently returns.
Indicator
Triangle Pattern Detection [Dots3Red]Triangle Pattern Detection Indicator detects and draws triangle chart patterns in real time. The indicator identifies pivot highs and lows, validates converging trendlines, calculates the mathematical apex, and classifies each pattern by type.
How it works
The indicator scans for pivot highs and pivot lows using a configurable lookback length. Once two valid pivot highs and two valid pivot lows are found, it verifies that:
The trendlines are genuinely converging (spread shrinks from left to right)
No bar between the pivots violates the trendline boundary
The upper and lower patterns are aligned in time
The pattern meets minimum and maximum width requirements
If all conditions pass, the apex is calculated mathematically as the exact intersection point of the two trendlines, and the full triangle is drawn from the shared start bar to the apex.
Pattern Types Detected
Symmetrical Triangle — both lines converging toward each other
Ascending Triangle — flat upper resistance, rising lower support
Descending Triangle — declining upper resistance, flat lower support
Rectangle — both lines near horizontal
Visuals
🟡 Electric glow triangle
▼ / ▲ Pivot markers at pattern boundaries ( commented out in the code )
🔵 Bullish breakout signal / 🔴 Bearish breakout signal with glow effect and stem line
Number label at each triangle's start for cross-referencing with the info table
Info Table (top right)
Keeps a record of the last 5 detected triangles showing:
Column - Description
ID - Triangle number
Type- Pattern classification
Width - Pattern width in bars
BO date - The day the price broke out from the triangle pattern
Status - Live breakout status — Bull / Bear / Inside
The Status column updates on every bar so you can see in real time whether price has broken out of any recent pattern.
Settings
Pivot Length - Sensitivity of pivot detection (1–10). Lower = more patterns
Max Pattern Width - Maximum bars between first and second pivots
Start Bar Alignment Tolerance - Max distance between the start of the upper and lower pivots of the triangle's sides
Max Apex Distance - How far ahead the apex can project
Min Pattern Width - Filters out patterns that are too narrow to be meaningful
Breakout Threshold % - How far the price must close beyond the trendline to confirm a breakout
Notes
All triangles are drawn on the last bar only, avoiding repainting of historical patterns
Breakout detection scans from the leftmost bar of the pattern to the apex, firing on the first confirmed close beyond the boundary
Example on BTC 🪙 chart
Indicator
Dynamic Pivot Structure [DPS]Dynamic Pivot Structure (DPS) is a price structure analysis tool that automatically detects pivot points, classifies market structure (HH, HL, LH, LL), and generates dynamic support/resistance zones with mitigation tracking.
**Mathematical Foundation:**
The indicator uses the standard pivot point detection algorithm with configurable left and right bar confirmations. A pivot high is confirmed when the high of a bar is greater than the highs of all N bars to its left and N bars to its right. Similarly for pivot lows. This provides mathematically validated local extremes rather than arbitrary level selection.
Market structure classification follows the Dow Theory framework: Higher Highs (HH) and Higher Lows (HL) define uptrends; Lower Highs (LH) and Lower Lows (LL) define downtrends. The indicator tracks consecutive pivot sequences and labels each new pivot with its structural classification.
Support and resistance zones are generated around each pivot using the Average True Range (ATR) for zone width. This creates proportional zones that automatically adjust to the instrument's volatility. The indicator tracks zone mitigation — when price penetrates a zone, it is marked as mitigated and visually faded.
**Signal Logic:**
Buy signals fire when price is near an unmitigated support zone, above the trend EMA, with RSI below 40 or bullish structure (HH/HL), and ADX confirming a trending environment. Sell signals fire near resistance with bearish conditions.
**Features:**
- Automatic pivot high/low detection with adjustable sensitivity
- Market structure classification (HH, HL, LH, LL)
- Dynamic ATR-based support and resistance zones
- Zone mitigation tracking with visual feedback
- ADX trend strength filter
- Trend EMA overlay
- Dashboard showing structure type, ADX, and proximity status
Indicator
Pivot Strategy [OmegaTools]Pivot Strategy by OmegaTools is a systematic trading strategy designed to evaluate price behavior around key pivot point levels. The script builds a complete pivot framework using the selected calculation method, with support for Traditional, Fibonacci, Woodie, Classic, and Camarilla pivots. From this structure, the strategy derives the central pivot level together with the first three resistance and support extensions, creating a clear and objective map of potential reaction zones for the session.
This script shouldn't be used as a stand alone strategy, a proper trigger and confluence filters are missing, instead try using this script to study market reaction to key levels in order to be able to create and test your own strategy.
The strategy is built around two distinct execution models. In TF mode, it operates as a breakout system, entering long positions when price closes upward through the selected bullish pivot level and entering short positions when price closes downward through the selected bearish pivot level. In MR mode, the logic shifts to a mean reversion framework, taking the opposite side of a level interaction: a touch of the selected support-side level from above can trigger a long entry, while a touch of the selected resistance-side level from below can trigger a short entry. This dual structure allows the script to be adapted to both continuation-driven and reversal-driven market conditions.
Entry selection is configurable through the central pivot or through one of the first three support/resistance tiers, allowing traders to test different degrees of aggressiveness and selectivity. A central-pivot configuration may produce more frequent signals, while higher-level entries such as SR2 or SR3 generally focus on more extended price movement before participation. This makes the strategy suitable not only for direct backtesting, but also for comparative research across instruments, volatility regimes, and pivot methodologies.
Risk management is handled through pivot-based exit logic. Stop loss and take profit levels are independently configurable and are mapped directly to the pivot structure. For long positions, stop losses are derived from the support side and take profits from the resistance side. For short positions, the inverse logic is applied. The script also validates these levels relative to the average entry price, so exits remain structurally coherent with the active position. This keeps the framework simple, transparent, and fully anchored to the same pivot environment used for entries.
To reinforce execution discipline, the strategy includes a maximum trades per day parameter, limiting the number of entries allowed during each reset cycle. At the beginning of a new reset period, the strategy clears its internal trade counter and closes any open position, ensuring that each new session starts independently from the previous one. This design makes the model particularly useful for traders who want strict session-based behavior and clean daily segmentation in their testing.
Overall, Pivot Strategy is intended for traders and quantitative researchers seeking a structured way to test pivot-driven breakout and mean reversion behavior with clearly defined rules. It is especially useful for studying how different pivot formulas, entry locations, and exit configurations influence performance across markets and timeframes, while maintaining a consistent and interpretable framework.
Disclaimer: This script is provided for educational and research purposes only. It does not constitute financial advice, investment advice, trading advice, or a recommendation to buy or sell any financial instrument. Past performance, backtest results, and hypothetical simulations are not indicative of future results. Market conditions, slippage, commissions, execution differences, and instrument-specific factors can materially affect real-world performance. Users should conduct their own analysis, apply proper risk management, and perform thorough out-of-sample validation before considering any live use.
Strategy
G.O.D Trades1. G.O.D SR Zones (Wide Pink & Green Areas)
What it is:
These are the large semi-transparent rectangles — pink for G.O.D Resistance and green for G.O.D Support.
They are created using the highest high and lowest low over your chosen lookback period (default 25 bars).
Why it matters:
These act as institutional supply and demand zones. Big players often defend or attack these areas. Price tends to react strongly (reverse or accelerate) when it touches them.
How to use:
Price approaching G.O.D Resistance (pink) from below → potential short opportunity.
Price approaching G.O.D Support (green) from above → potential long opportunity.
When price breaks a zone with strong momentum candles → expect continuation toward the next opposite zone.
Best trades happen at the edges of these zones.
Pro Tip: The wider the zone, the stronger it is. You can increase lookback for broader zones or decrease it for more responsive ones.
2. Liquidity Pools + Sweeps (Blue & Orange Boxes + Triangles)
What it is:
Liq High (blue box): Area slightly above recent swing highs.
Liq Low (orange box): Area slightly below recent swing lows.
Sweep markers: Small red triangle (above bar) for high sweep, green triangle (below bar) for low sweep.
Why it matters:
Institutions hunt stop-loss orders. Liquidity pools are where many retail traders place their stops (above highs or below lows). A "sweep" is when price briefly takes that liquidity and then reverses.
How to use:
A sweep (triangle appears) is often a high-probability reversal signal.
Example: Price wicks above Liq High → red triangle appears → price reverses down → look for short.
The opposite for longs at Liq Low.
These are especially powerful when they occur near G.O.D SR zones.
Pro Tip: The best setups are sweep + reversal signal + G.O.D zone confluence.
3. L Pivots (Red & Green "L" Labels)
What it is:
Automatically detects swing highs and lows using ta.pivothigh(5,5) and ta.pivotlow(5,5).
Labels them as L1, L9, L15, L25, etc. Red = bearish pivots (resistance), Green = bullish pivots (support).
Why it matters:
These show market structure in real time (Break of Structure, Change of Character). Higher L numbers usually mean more recent and significant levels.
How to use:
Bounce trades: Price reacts at an L pivot inside a G.O.D zone → good reversal setup.
Break trades: Price breaks an L pivot with momentum → continuation trade.
Use them as precise entry or stop-loss levels (tighter than the big SR zones).
Pro Tip: L25+ levels are generally stronger than L1–L10.
4. Daily NY Session High/Low (SH & SL Lines)
What it is:
Red line = Session High (SH)
Green line = Session Low (SL)
Automatically resets at 9:30 ET (New York open) and tracks the high/low during regular trading hours (09:30–16:00 ET).
Why it matters:
These are psychological and institutional reference points for the entire day. Many algorithms and traders watch these levels closely.
How to use:
Breaking SH with momentum → bullish bias for the day.
Breaking SL with momentum → bearish bias for the day.
Retests of SH/SL after breakout often provide excellent entries.
5. Momentum Oscillator (Yellow Line in Separate Pane)
What it is:
A simple 10-period Momentum indicator (ta.mom(close, 10)). It plots above or below the zero line.
Why it matters:
It shows the speed and strength of price movement. Helps filter fakeouts.
How to use:
Momentum rising above zero → bullish strength.
Momentum falling below zero → bearish strength.
Divergence: Price makes new high but momentum fails to → warning of reversal (often matches REV↓ signal).
Use it to confirm direction before entering on sweeps or pivots.
Pro Tip: Combine with reversal signals — the REV labels already use momentum divergence internally.
6. Reversal Signals (REV↑ and REV↓ Labels)
What it is:
Green REV↑ at lows and red REV↓ at highs. These appear automatically.
Why it matters:
It detects when a pivot low/high forms and momentum is diverging — a classic reversal pattern in SMC/ICT.
How to use:
REV↑ near G.O.D Support or after a Liq Low sweep → strong long setup.
REV↓ near G.O.D Resistance or after a Liq High sweep → strong short setup.
These are excellent for scalping or catching early turns.
7. Background Highlight (Red Tint on Strong Down Moves)
What it is:
Light red background when a candle has a strong bearish close.
Why it matters:
Helps you quickly spot aggressive selling pressure without staring at every candle.
How to use:
Use it as a visual filter — strong red background + sweep or reversal signal = higher conviction short.
Indicator
Supply & Demand Zones XLDescription
Supply & Demand Zones XL is a non-repainting supply and demand indicator designed to model market structure with a focus on stability, clarity, and quantitative strength evaluation.
The script identifies supply and demand zones using pivot-based structure and sizes each zone dynamically using ATR, ensuring consistent scaling across different market conditions. Zones are extended forward in real time and maintained as either active or historical depending on user preference.
Each zone is scored using a composite strength model that incorporates volume participation, zone width efficiency, time in market, and touch frequency. The resulting strength rating is normalized to a simple X/10 format and displayed at the end of each zone for immediate readability.
A non-repainting mode ensures that zones are only confirmed after pivot completion, preventing forward-looking bias. An optional volume filter allows users to require above-average participation before a zone is formed.
The script includes logic to prevent redundant structure by disallowing overlapping zones of the same type while the current zone remains valid. Once a zone is broken, new zones are allowed to form, preserving structural continuity.
Zones are considered broken only on confirmed closes beyond their boundaries, not intrabar wicks. Broken zones are downgraded in strength and can be visually differentiated using customizable color controls. Users can independently control coloring for active and historical broken zones, as well as define separate colors for supply, demand, broken supply, and broken demand.
Historical zones can be toggled on or off, with optional strength labels, allowing users to balance context versus chart clarity.
The result is a structured, state-driven supply and demand model that avoids noise, reduces duplication, and provides a consistent framework for evaluating zone quality and market behavior.
Indicator
Volumetric Gann StyleVolumetric Gann Style
Overview
Volumetric Gann Style is a rule-based chart visualization tool built around a pivot-anchored Gann structure.
The script organizes its calculations around confirmed structural pivots, then renders a multi-layered Gann framework that can include fan geometry, box/grid structure, heat-zone visualization, volumetric pressure mapping, Square of 9 references, contextual labels, and a structure-based signal layer.
This indicator is designed for visual, structural, and educational analysis.
It is not a financial advisory tool.
It does not provide investment advice.
It does not generate standalone buy or sell recommendations.
It does not guarantee future outcomes, profitability, or market direction.
Any labels, breaks, reclaims, rejections, or alert conditions displayed by the script are derived from predefined structural rules inside the indicator. They should be treated as contextual chart events, not as direct trade instructions.
Image 1 — Full System Overview
Complete chart view showing the main Gann structure, volumetric visual layers, and the overall architecture of the script.
Core Architecture
The script is built around a pivot-based anchor engine.
Confirmed pivots are used to define the active structural framework, and the rendered Gann geometry updates according to that anchor logic. The goal is not to forecast future price behavior, but to display how price interacts with a structured Gann environment derived from chart data.
This framework allows the indicator to maintain a coherent visual relationship between:
anchor points,
fan projections,
box/grid levels,
pressure zones,
volumetric structure blocks,
and structural event labels.
The output is therefore intended as a chart-structure visualization system, not a predictive model.
Image 2 — Pivot Anchor + Fan Structure
Example of how the active anchor logic defines the current fan environment and the main structural framework.
Two Display Engines
Volumetric Gann Style includes two distinct display modes:
1) Volumetric Gann Style
This mode emphasizes the custom visual architecture of the script and its volumetric presentation logic.
Depending on the active settings, it can display:
structured level boxes,
internal pressure segmentation,
volumetric buy/sell pressure presentation inside the active range,
heat-zone logic,
right-side informational elements,
and a denser structural overlay.
This mode is designed to make structural pressure easier to read visually by combining Gann geometry with volumetric distribution concepts inside the displayed framework.
Image 3 — Volumetric Gann Style Mode
The custom volumetric mode with structured boxes, internal pressure layout, and denser visual context.
2) Classic Gann
This mode presents a cleaner and more traditional Gann-style visual framework.
It focuses more directly on the geometric side of the structure while preserving the same underlying anchor logic.
These two modes are alternative visual interpretations of the same structural engine. They are not separate trading systems and they do not represent separate market predictions.
Image 4 — Classic Gann Mode
A cleaner geometric presentation using the same anchor engine and structural logic.
Gann Fan Structure
The indicator can project a Gann fan from the active pivot structure and display its internal angle framework visually on the chart.
The fan is used here as a structural reference layer. It helps users observe how price moves relative to the active angular framework and how that framework evolves when anchor conditions change.
The fan display is a visualization component.
It does not predict direction, define future targets, or produce guaranteed signal quality.
Image 5 — Gann Fan Structure
Visual example of the active fan and its angle relationships inside the current framework.
Gann Box / Grid Structure
The script can also build a Gann box-style environment around the active structure.
This box/grid component is used to visualize:
structural expansion,
internal level relationships,
horizontal and vertical reference alignment,
and interaction areas inside the active framework.
In Volumetric Gann Style mode, this same structural area can also host pressure-oriented visual blocks, allowing the framework to communicate not only geometry, but also internal volumetric balance in a more readable way.
This creates a more readable structural field for observing how price behaves inside the current anchor-defined range.
The box and grid are analytical chart objects only. They are not standalone trade setups, not future projections, and not investment recommendations.
Image 6 — Gann Box / Grid Layout
Structural box and grid presentation around the active range.
Heat Zone and Volumetric Volume Logic
One of the defining visual layers of this script is its volume-oriented display logic.
Depending on the selected mode and settings, the indicator can render:
heat-style emphasis zones,
internal buy/sell volume boxes,
volumetric range-based structure blocks,
total volume information,
level and price information,
and contextual structure mapping inside the active framework.
These elements are intended to make internal structure easier to observe visually.
They do not claim order flow certainty, execution quality, or predictive edge.
They should be interpreted as part of the script’s visual framework rather than as direct trading commands.
Image 7 — Heat Zone and Volumetric Pressure
Example of heat-style emphasis and volumetric pressure distribution inside the active structure.
Signal Engine
The script includes a structural signal layer that can mark events such as:
break-type conditions,
reclaim behavior,
rejection behavior,
and aggressive structural reactions.
These events are generated from predefined internal conditions tied to the active Gann structure.
Important:
These labels are not standalone buy/sell calls.
They are not personalized advice.
They do not replace independent analysis, testing, or risk management.
They are best understood as structure-based chart annotations that highlight how price is behaving relative to the indicator’s active framework.
Image 8 — Signal Layer / Structural Events
Break, reclaim, rejection, or reaction-style labels shown as contextual chart annotations.
Square of 9
The indicator also includes Square of 9 style reference plotting.
This module is used as an additional structural reference layer and can help users visually compare chart behavior against the script’s projected Gann-style numerical framework.
As with the rest of the indicator, this component is informational and visual in nature. It does not imply certainty, future target precision, or directional guarantees.
Image 9 — Square of 9
Additional Gann-style numerical reference structure plotted on the chart.
Trend Score / Panel / Labels
The script may display summary panels, state labels, or trend-score style information derived from its internal logic.
These visual summaries are intended to improve chart readability and to present the current structural state in a more organized way.
They should be treated as descriptive outputs of the indicator’s rule set, not as guaranteed market conclusions.
Image 10 — Trend Panel / Labels
Panel-based summaries and contextual label outputs derived from the current structure.
How to Use
This indicator is best used as a structural chart companion.
Typical use may include:
observing pivot-defined Gann structure,
comparing price position against fan and box geometry,
monitoring volumetric pressure zones and contextual labels,
reviewing structural events on the chart,
and combining the visualization with the user’s own broader analysis process.
It should not be used as a substitute for independent judgment.
What This Script Does
Displays a pivot-anchored Gann framework on the chart
Supports both Volumetric Gann Style and Classic Gann display modes
Visualizes fan, box/grid, heat-zone logic, volumetric pressure structure, and contextual chart behavior
Includes optional structural event labeling
Adds Square of 9 and panel-based context elements
Organizes chart information into a rule-based visual framework
What This Script Does Not Do
Does not provide financial or investment advice
Does not generate standalone buy or sell recommendations
Does not guarantee profitable outcomes
Does not predict future market direction with certainty
Does not replace independent analysis, testing, or risk management
Disclaimer
This script is provided for informational, analytical, and educational purposes only.
All calculations are based on chart data and predefined internal rules. Market behavior can vary, and no visual element in this script should be interpreted as a guarantee, promise, or financial recommendation.
All trading and investment decisions remain solely the responsibility of the user.
Indicator
RSI Master RSI Master (MNQ) — 1H Structure + 30M Liquidity + FVG + Breakout Entry
A precision-based trading script designed for the Micro E-mini Nasdaq-100 (MNQ), combining higher timeframe structure with lower timeframe execution. This strategy uses 1H trend direction, identifies 30M liquidity sweeps, and confirms entries through Fair Value Gaps (FVG) and breakout momentum—enhanced with RSI for timing and strength validation.
Built for traders who want clean, rule-based entries, reduced noise, and alignment across timeframes. Ideal for capturing high-probability intraday moves with disciplined execution and risk control.
Indicator
Trendline Breakout Indicator [Dots3Red]Trendline Breakout Indicator is an upgraded version of the existing "Trendline Breakout with Volume Confirmation ".
What is this indicator for?
The indicator is built to automatically detect and visualize trending price channels, both bullish and bearish . It draws channels (or polygons, optionally) across pivot-based trendlines, tracks them in real time, and signals when price breaks out of them with a certain N% (can be confirmed by volume activity too).
How does it work?
The indicator identifies pivot highs and lows of a configurable length. Consecutive pivots of the same type (lows for bullish, highs for bearish) form a trendline. Each trendline is then extended bar by bar until the price breaks it.
Channel mode draws a parallel channel around the trendline, where the channel width is determined by the maximum price deviation from the trendline within the channel's range - not a fixed offset. This means every channel is fitted to actual price behavior.
Polygon mode instead fills the area between the trendline and the extreme price reached within it, giving a triangular wedge shape that highlights price compression.
Channels are color-coded: cyan/teal for bullish, red/pink for bearish .
Breakout Detection
A breakout is confirmed when:
For bullish channels : price closes below the lower trendline by more than the configured Breakout %
For bearish channels : price closes above the upper trendline by more than the configured Breakout %
When a breakout occurs, the channel is frozen and drawn at its final shape. A BO▲ / BO▼ label marks the breakout bar.
Only channels that have persisted for at least the configured minimum length (in bars) are drawn - this filters out insignificant short-lived moves
Volume Confirmation
Volume is measured relative to its 20-bar moving average. When volume at the breakout bar exceeds the Volume % Breakout threshold, a bar visualization is drawn at the breakout point.
Key Inputs
C hannel / Polygon - Switch between channel and polygon visualization mode
Breakout % - How far price must close beyond the trendline to confirm a breakout
Slope Factor - Minimum slope required for a trendline to be considered a valid trend
Pivot Length - Lookback length for pivot high/low detection
Channel Min Length - Minimum bar length a channel must reach before being drawn
Volume % Breakout - Volume spike threshold relative to the 20-bar average (can be toggle on/off)
The code has been cleaned so as not to contain duplicate execution functions.
Example
Above is the Trendline analysis of the Nvidia stock behaviour.
The following configurable parameters have been chosen:
2.5% for price break out
1.02 for slope factor
3 for Pivot length
20 for min channel's length
30% for min volume % breakout indicaton
It is interesting to observe what happens when two opposite channels overlap. From Jan 2025 to mid May 2025, the stock was in a clear bearish channel, yet a bullish channel started to develop since April 2025. The bearish channel got broken on May 13, 2025, at the time when the bullish channel had already been established - a more powerful signal to enter long.
Changing indicator settings might give different visual interpretations, especially the slope factor and the minimum pivot length.
Indicator
Support & Resistance KDESupport & Resistance KDE (Kernel Density Estimation)
▶️Overview
This indicator identifies high-significance support and resistance (S/R) levels using Kernel Density Estimation (KDE), a sophisticated statistical method for finding price clusters.
By employing a linear kernel approach where the width is determined by the candlestick range, this tool provides a more robust estimation of S/R levels compared to simply marking discrete pivot points. It visualizes statistically significant "price walls" that represent real supply and demand zones by accounting for the price action's volatility at each historical turning point.
▶️Key Features
Statistical S/R Identification:
Uses Pivot Highs and Lows as sample data for KDE to automatically extract price levels with high historical significance.
KDE Distribution Profile:
Displays a density profile on the right side of the chart, allowing you to instantly see where the strongest price clusters are located.
Dynamic Zone Display:
Levels are displayed as "Zones" rather than thin lines, based on ATR. This helps account for market noise and provides a more realistic view of price reaction areas.
Peak Filtering:
Identifies local maxima in density and uses an ATR-based minimum distance filter to merge overlapping levels and keep the chart clean.
▶️How It Works (Logic)
The script processes data through the following steps to ensure a robust statistical analysis:
Data Collection:
Extracts all Pivot Highs and Lows within the defined Lookback Period, alongside the price range (High - Low) of the candle where the pivot occurred.
Density Calculation (Linear Kernel):
Instead of treating each pivot as a single, infinitesimal price point, the script applies a Linear (Triangular) Kernel to each pivot. The width of this kernel is defined by the candle's range at that specific time.
Mechanism:
Each pivot contributes its "weight" to a price range rather than a single value. This accounts for the volatility and uncertainty present at the moment the pivot was formed, leading to a much more reliable estimation of where "true" support or resistance lies compared to raw price data.
Peak Detection:
Scans the entire price range within the lookback period to find local maxima (peaks) in the cumulative density distribution.
Ranking and Filtering:
Ranks these peaks by density and filters them based on the user-defined "Min Distance (ATR Multiplier)" to display only the top N most significant levels.
▶️Inputs
--- Calculation Settings ---
Lookback Period: The number of bars to analyze.
Pivot Left/Right Strength: The period used to detect pivot points. Increasing these values will capture more macro-level structures.
Number of Top Levels: The maximum number of S/R levels to display.
Min Distance Between Levels: Minimum vertical distance between levels (ATR multiplier) to prevent clutter.
KDE Resolution: The granularity of the price scan for density calculation.
--- Display Settings ---
Show KDE Distribution: Toggles the visibility of the density profile on the right.
Zone Display Width: The vertical thickness of the S/R zones (ATR multiplier).
▶️Trading Use Cases
Take Profit / Stop Loss Targets: Use Level 1 (the highest density peak) as a high-probability target for exits.
Breakout Confirmation: Watch for strong candle closes outside of high-density zones as a signal of a potential trend shift.
Identifying Range Boundaries: Use the boundaries of the KDE profile to define the upper and lower limits of a consolidation phase.
Disclaimer:
This script is provided for educational and analytical purposes only and does not constitute financial advice.
Indicator
Geass SRV - Support Resistance VolumeGeass SRV - Support Resistance Volume
by MasterTony
Volume profile engine adapted from Zeiirman's work — used with respect and full credit.
Most indicators tell you where price is. This one tells you where the market lives. The Support Band + Volume Profile is built around a single idea: price gravitates toward zones where real participation has happened, and it respects dynamic boundaries defined by the market's own momentum structure. This indicator surfaces both at once — a trend-adaptive zone on price and the volume history behind it.
How It's Calculated
Trend Direction (ADX + 200 SMA)
Market direction is read continuously using the DMI system — DI+ vs DI− for directional dominance, with the 200 SMA as a tiebreaker when they are equal. There is no neutral state. The indicator always commits to bull or bear, and all colors and zone behavior follow from that.
The Support Band (SMA 20 / EMA 21)
The innermost layer is a filled zone between the 20-period SMA and the 21-period EMA. These two averages are nearly identical in length but calculated differently, so the gap between them stays tight — producing a precise dynamic level rather than a wide smear. This is the mean of the recent trend. In a bull market it is the floor price returns to on pullbacks. In a bear market it is the ceiling price fails at on rallies. Green in a bull trend, red in a bear trend.
The Kijun Band — Main Trend Support and Resistance
The outer layer is the primary structural boundary of the indicator. The Kijun-Sen and Tenkan-Sen form a filled zone that acts as the main dynamic support in uptrends and the main dynamic resistance in downtrends, derived from Ichimoku Cloud. When price holds above this band the trend is intact. When price breaks through it and cannot reclaim it, the trend is in trouble.
Both lines adapt their lengths based on market conditions — compressing when momentum is strong and price is trending cleanly, expanding when conditions are weak or choppy. This means the boundary zone tightens in fast trends and widens when the market is uncertain, automatically adjusting to the environment. The lines are colored cyan in a bull regime and magenta in a bear regime, keeping them distinct from the inner band at all times.
The Kijun line within that band is the single most important level to watch. It is the baseline the trend must hold. Everything else in the indicator gives context to what happens at the Kijun.
Volume Profile — Reading the Zones
Volume profile engine adapted from Zeiirman's original work.
The volume profile is drawn to the right of price covering the last 240 bars. It answers the question the bands cannot: how much real participation has happened at each price level. A band sitting on a high-volume node is structurally different from a band sitting in empty space.
Point of Control (POC): The price level with the highest total volume — the market's center of gravity. When the POC aligns with the Kijun or the support band, that level is not just a moving average. It is a price the market has repeatedly chosen, making it the highest-conviction read the indicator can produce.
Value Area: The central 68% of all volume, shown as the brightest bars on the profile. The edges of the Value Area are high-probability reaction levels. Price approaching from outside tends to stall at the boundary or accelerate into the core. When the band zone overlaps a Value Area edge, dynamic structure and volume history are stacked at the same level.
Buy/Sell Split: Every row is divided between buying volume (green) and selling volume (red). When one side exceeds 60% it renders as a strong single color. This shows not just where volume was high — it shows who was in control. A dominant green node below price is demand. A dominant red node above is supply.
Low Volume Gaps: Rows with very little volume are structural gaps. Price moves through them quickly with little friction and accelerates until it hits the next meaningful cluster. When the band sits at the edge of a gap, a break can be fast and directional.
Freshness Fade: Recent volume glows brighter. Older volume fades. This prevents the profile from treating a level from 200 bars ago the same as one from yesterday.
Price Pivot S/R Lines
The last three swing highs and swing lows drawn as horizontal dashed lines — red for resistance, green for support. These are price memory. The exact levels where the market has previously reversed.
Bollingerbands
Custom Bollinger bands that can be toggled on to see outer lines of directional trend
How to Read It
The zone between the support band and the Kijun boundary is the core read. Green means the corridor is support — healthy pullbacks happen here. Red means it is resistance — rallies fail here. A tight narrow zone signals strong trend momentum. A wide zone signals a slower or more uncertain market.
The Kijun line is the level that matters most. A pullback that holds above it and bounces is trend continuation. A close below it is a warning. A reclaim from below is the first sign of a potential reversal. Every trade setup built with this indicator lives or dies at the Kijun.
The volume profile tells you whether the Kijun level carries real weight. A Kijun sitting on a large green volume node has been defended by buyers repeatedly — it has structural backing. A Kijun sitting in thin faded volume is unproven. When the POC and the Kijun are at the same price, that is the strongest signal this indicator can produce.
Value Area edges add a second volume-based reference layer. Watch for the band or Kijun to overlap with the top or bottom of the Value Area — that is confluence of two independent structural forces at the same level.
Pivot lines show the nearest price structure above and below. A green pivot just below the Kijun in a bull trend means two separate historical references are stacked — structural and volume-based support reinforce each other.
How to Trade With It
Bull Trend Pullback
Band is green. Price pulls back into the support band or toward the Kijun. Check the volume profile — is there a high-volume green node or the POC near that level? If yes, the zone has volume backing. Wait for a reversal signal inside the zone. Enter long with a stop below the Kijun. The nearest green pivot below is your hard invalidation.
Bear Trend Rally
Band is red. Price rallies into the band or toward the Kijun. Check the volume profile — is there a high-volume red node or the POC near the Kijun? If yes, the resistance is volume-confirmed. Wait for rejection inside the zone. Enter short with a stop above the Kijun. The nearest red pivot above is your invalidation.
Volume Gap Move
When price breaks out of the band and enters a low-volume section of the profile, expect the move to accelerate. There is no structural resistance in that gap. Price will run until it hits the next meaningful volume cluster. Use the profile to identify where that cluster is and target it.
Trend Change Warning
When the band flips color, stop trading the previous direction. Wait for price to pull back and hold the newly-colored zone on a retest before entering the new direction. Check the POC — if it is already on the new direction's side of price, the flip has volume support and is more likely to hold.
Confluence Filter
The cleanest setups occur when everything agrees: band color matches the trade direction, price is testing the Kijun, the POC or a high-volume node is at or near that level, and a pivot line adds nearby structure. When all of that stacks at one price, the zone is as high-conviction as this indicator gets.
Credits
Volume profile engine — Gaussian volume distribution, buy/sell split, POC calculation, Value Area logic, and freshness fade — adapted from Zeiirman's original work. Full credit to Zeiirman for the foundation that powers the volume layer of this indicator.
Indicator
Master Multi-Asset Confluence StrategyNew "Confluence Dashboard" Features:
Confluence Checkboxes: In the settings under Active Confirmations (Checkboxes), you can now individually enable or disable:
RSI/BB Extension: (RSI extreme + Price outside Bands).
Order Block Hit: (Price inside an unmitigated Swing OB).
CVD Divergence: (Cumulative Volume Delta divergence).
SFP Confirmation: (Swing Failure Pattern).
How the Logic Works: The strategy will always look for the baseline Multi-Asset Divergence (VIX, PCC, or COMP). However, it will only trigger an entry (and show a diamond) if EVERY box you have checked is also currently true.
Backtesting Flexibilty:
To see Both normal and confirmed signals: Uncheck all confirmation boxes. Every divergence will trade.
To see Strict confluences: Check the boxes for the layers you trust most (e.g., OB + CVD).
Optimized Performance: Fixed the syntax errors from the previous attempts and ensured all ta.* calculations (like ta.lowest for CVD) are performing globally to avoid backtesting inconsistencies.*
Visual Signal Levels:
Gold Diamond: The "Perfect Trade" — A divergence meeting all your checked confluences happening within a Nested HTF Order Block.
White Diamond: A divergence meeting all your checked confluences happening within a Current TF Order Block.
TP/SL Lines: Still visible during active trades to show you exactly where your targets are.
Strategy
Prior Day Range BoxPrior Day Range Box
Prior Day Range Box plots the previous trading day’s high and low directly on the current chart and displays that range as a visual box with optional reference lines. The script pulls the prior day’s high and low from the daily timeframe, then projects those levels onto the active chart so traders can track how current price behaves around important higher-timeframe levels.
At the start of each new trading day, the indicator creates a new prior day range using the previous day’s high and low. A box can be drawn between those levels to clearly show the full prior day range, while separate horizontal lines mark the prior day high and prior day low. These levels are widely used by intraday traders as key areas for support, resistance, breakout confirmation, rejection, and liquidity interaction.
An optional midpoint line can also be displayed. This line marks the 50% level of the prior day’s range and can serve as an added reference for balance, mean reversion, or directional bias during the session.
The script also includes an optional historical lookback mode. When enabled, it can display prior day range levels from multiple past sessions, making it easier to study how price reacts to historical daily ranges over time. The number of displayed lookback days can be adjusted to fit the user’s preference.
All visual elements are customizable. Users can choose whether to show the range box, enable the midpoint, extend the prior day high and low across the chart, display historical lookback days, and adjust the colors and line width to match their chart setup.
This indicator is designed for traders who use prior day high and low levels as part of their intraday process and want a clean visual framework for tracking previous session range structure on any intraday chart.
Indicator
