Ultimate Profits CSKWMA fantasy🛑❇️ this indicator is best for scalping 1mn, 3mn, and 1H looking for trend entry point and exit. Focusing on XAUUSD and BTC pair, but you can try any pairs any time frame.
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Luxalgo
DeluxAlgo Session Auction MatrixDeluxAlgo Session Auction Matrix
An institutional session auction framework built upon the outstanding open-source LuxAlgo Sessions project.
Introduction
DeluxAlgo Session Auction Matrix expands the excellent foundation established by LuxAlgo Sessions into a comprehensive auction-market analysis framework designed for traders who study market structure through the lens of value, volume, participation, and session behavior.
While the original indicator focuses on identifying and visualizing trading sessions, this project extends that concept into a complete institutional workflow by integrating session statistics, auction theory, developing volume profiles, VWAP analytics, Anchored VWAPs, Fibonacci mapping, ADR analysis, and advanced visualization.
The goal is not to replace the original work, but to build upon it respectfully and demonstrate how open-source collaboration can push ideas further while giving full credit to those who laid the foundation.
Acknowledgements
This project would not exist without the exceptional work of the LuxAlgo team.
Their willingness to release quality open-source code has helped thousands of traders better understand market behavior and has served as the foundation for many educational and community-driven projects.
To everyone at LuxAlgo—
Thank you.
Thank you for the countless hours of engineering, research, testing, documentation, and community support that have gone into your TradingView indicators over the years.
Your commitment to sharing knowledge has made the TradingView ecosystem significantly stronger.
If you enjoy this indicator, please take the time to explore everything LuxAlgo has created.
Their commercial platform contains some of the most sophisticated quantitative tools available for TradingView users, including institutional-quality analytics, AI-assisted workflows, and an extensive suite of professional indicators.
Supporting companies that continue to invest in research and development helps move the entire trading community forward.
What DeluxAlgo Session Auction Matrix Does
The indicator transforms each major trading session into a complete auction map.
Rather than showing only where a session begins and ends, it attempts to answer questions such as:
Where was value established?
Where did participation concentrate?
Where were prices rejected?
Where are the likely continuation or mean-reversion areas?
How extended has the session become?
How do today's auctions compare with one another?
The objective is to provide traders with a cleaner understanding of how institutional auctions develop throughout the trading day.
Major Enhancements
This version substantially extends the original Sessions concept with numerous auction-market tools, including:
High-Resolution Session Volume Profiles
Developing session profiles
Improved profile resolution
Session-by-session visualization
Adjustable profile appearance
Auction Market Levels
Automatic calculation and display of:
Point of Control (POC)
Developing POC
Value Area High (VAH)
Value Area Low (VAL)
High Volume Nodes (HVNs)
Low Volume Nodes (LVNs)
Institutional VWAP Framework
Each session can display:
Session VWAP
High Anchored VWAP
Low Anchored VWAP
These automatically reset with new session extremes and provide dynamic institutional reference levels throughout the auction.
Session Fibonacci Mapping
Multiple institutional Fibonacci templates are included:
Quartiles
Standard Fibonacci
OTE (Optimal Trade Entry)
OTER (Optimal Trade Entry Reversal)
Optional forward projection allows important auction levels to extend beyond the completed session.
ADR Expansion Analysis
Each completed session is measured against Average Daily Range to determine whether the market is:
Normal
Expanded
Stretched
This provides additional context for identifying potential continuation or mean-reversion environments.
Session Statistics
The matrix summarizes important auction information including:
Session range
Percentage of ADR consumed
Auction condition
Expansion state
Relative positioning
Improved Visualization
Significant effort has gone into improving chart readability by:
Aligning right-side level labels
Organizing auction levels into consistent lanes
Standardizing horizontal level extensions
Reducing visual clutter
Improving spacing between sessions
Making auction information easier to scan during live trading
Intended Trading Style
DeluxAlgo Session Auction Matrix is designed for traders who incorporate:
Auction Market Theory
Volume Profile
VWAP
Anchored VWAP
Order Flow
Market Structure
Session Rotation
Institutional Execution Concepts
The indicator is intended to complement—not replace—price action and execution tools.
Future Development
Additional capabilities under consideration include:
Volume Profile shape classification (P, b, D, Double Distribution)
LVN rejection models
Acceptance vs. rejection detection
Auction migration tracking
Developing POC migration analysis
Multi-session confluence scoring
Session bias engine
Profile-to-profile rotation analysis
Institutional trade planning tools
Order-flow integration
Additional session analytics
Credits
Original Sessions Concept
© LuxAlgo
Original open-source Sessions indicator released by the LuxAlgo team.
This project is a derivative work that respectfully builds upon that foundation while adding substantial new functionality centered around Auction Market Theory, Volume Profile analysis, and institutional session analytics.
Please support LuxAlgo by exploring their indicators and quantitative platform. Their continued investment in high-quality research, engineering, and educational resources benefits the entire TradingView community.
Thank you again to everyone at LuxAlgo for your outstanding contributions to traders around the world.
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Strong Risk Management | ProjectSyndicateStrong Risk Management turns trade planning into an institutional-grade pre-trade cockpit. Click your Entry, Stop, and three Take-Profit levels straight onto the chart and the tool instantly sizes the position, derives your leverage and margin, estimates the liquidation price, scores the setup, and stress-tests it against your prop-firm rules — all on two clean Bloomberg-amber panels. Every figure is computed live from your own inputs and the symbol's real tick size, not hard-coded, so the numbers describe the exact trade you are about to take, right now.
🎯 Click-to-Place Interactive Levels — drop Entry, Stop Loss, and TP1 / TP2 / TP3 directly on the chart and drag them whenever you want, just like native drawing tools. An anchor-time input lets you pin the setup to a specific bar, direction (Long / Short) is auto-detected from where your stop sits, and every level you place is always respected — the auto R-multiples only fill in the targets you leave blank.
🧮 Fee-Aware Position Sizing — the engine uses the classic fixed-fractional model and sizes the position so a full stop-out equals exactly the risk you defined, with entry and exit fees folded into the math. Choose your risk as a percentage of balance, a percentage of allocated trade capital, or a fixed cash amount, and read the precise contracts/size and notional position value it produces.
⚡ Three Leverage Modes + Liquidation Engine — run Isolated Capital (leverage derived from the margin you commit), Fixed Leverage (you set the multiplier), or Auto-Safe Leverage, which automatically picks the highest leverage that still keeps your liquidation price safely beyond your stop by a configurable buffer. The panel shows effective trade leverage, account leverage, maintenance margin rate and amount, the estimated liquidation price, and how many times further it sits than your stop — with a loud warning if liquidation would ever come before your stop is hit.
📊 Dual Bloomberg-Amber Panels — Panel 1 (Risk Console) lays out balance, trade capital, risk model, max loss, the full setup (entry, stop, stop distance, break-even, size, position value), the leverage and liquidation block, and the setup-quality verdict. Panel 2 (Prop Guardrails + Take-Profit Plan) handles the funded-account rule checks and the full target ladder. Position each panel independently anywhere on the chart.
🛡️ Prop-Firm Guardrails — purpose-built for funded and challenge traders. Set your account size, phase (Challenge / Verification / Funded), daily loss limit, maximum drawdown (with a trailing option), profit target, per-trade risk cap, and consistency rule, then see this trade scored against every one of them with SAFE / CAUTION / VIOLATION lights and an overall status. It also tells you how many trades like this you can take before breaching your daily and max-drawdown budgets, how much budget is left, and how many wins remain to the profit target.
🎚️ Take-Profit Ladder with FULL / SLICE — each target shows its price, R multiple, and allocation %, plus the dollars it books two ways: FULL (if you closed the whole position there) next to SLICE (what your partial allocation actually books). The plan rolls up into a Plan Profit row with blended R and ROI on margin, so partial exits never look inconsistent against a full-size stop again.
↔️ Reward : Risk Verdict — a single, color-coded 1 : x line grades the whole plan EXCELLENT / GOOD / MARGINAL / POOR, so a setup whose targets sit inside the stop distance screams at you instead of hiding inside an average. A companion "1R Value (full, net)" read exposes the fee drag by showing what one clean R is actually worth in cash after costs.
★ 0–10 Setup Quality Score — a composite grade blending reward-to-risk quality, risk-per-trade discipline, liquidation safety, and prop-rule headroom into one number and an ELITE / STRONG / FAIR / WEAK tier, for a fast go/no-go read before you commit.
🟢 Risk-Free-After-TP1 Read — shows exactly what closing your first partial locks in, and confirms that trailing your stop to break-even afterwards takes the remaining downside to near zero — the de-risking move spelled out in dollars.
🖥️ On-Chart Trade Map — the full trade is drawn as banded zones (profit, loss, a liquidation-danger band, and a runner zone beyond TP3), precise level lines for entry, stop, every target, break-even, and liquidation, and right-edge labels carrying each level's price, R multiple, and cash value at a glance.
🔴 Honest Live Trade Tracker — once price reaches your entry, the tool tracks floating P&L and then prints a clear ✓ TARGET HIT or ✘ STOPPED OUT outcome. Losers are never hidden, and same-bar ambiguity is always resolved pessimistically to the stop, so the read stays truthful.
🔔 Native Alerts — fire on entry triggered, target hit, stopped out, and any prop-firm guardrail violation, so you can wire the cockpit straight into your workflow.
🧩 Fully Customizable — choose each panel's position (Top / Middle / Bottom paired with Left / Right) and text size, pick your quote-currency symbol, set entry and exit fees, the maintenance-margin rate and liquidation safety factor, your R multiples and allocation split, auto-vs-manual targets, and toggle the chart zones, liquidation line, break-even line, and live tracker — all from the settings menu, no code editing required.
🎯 Why this is different — most position-size calculators hand you a lot size and stop there. This is a complete pre-trade cockpit: it sizes the trade, derives leverage and margin, estimates liquidation, scores the setup, grades the reward-to-risk honestly with fees included, and checks the whole thing against your funded-account rules — two panels that answer "how big, how safe, and is this even worth taking?" before you click buy or sell.
🚀 Where to use it — works on any symbol and timeframe. Built with crypto perpetuals, futures, and margin/leverage trading in mind, but equally useful for forex and stocks: plan the trade, validate the sizing and prop-rule headroom, then execute with the levels already mapped on your chart.
⚠️ Important — this is a research and decision-support tool, not a buy/sell system, and it makes no performance guarantees. Liquidation price, fees, maintenance margin, and leverage figures are simplified estimates and can differ from your specific broker or exchange — always verify against their exact contract specifications before sizing a live position. Nothing here is financial advice. Pair it with your own analysis and risk management.
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Volumetric Regression Heatmap [LuxAlgo]The Volumetric Regression Heatmap indicator is a sophisticated market analysis tool that combines dynamic linear regression with volume profile density to visualize fair value and liquidity zones. By projecting volume-weighted heatmaps within a trend-following channel, it allows traders to identify where the bulk of trading activity has occurred relative to the current price trajectory.
🔶 USAGE
The indicator provides a multi-layered view of market structure. The central heatmap shows the "hottest" areas of volume concentration, acting as a magnet for price, while the outer bands represent statistical extremes.
🔹 Mean Reversion Signals
The script includes a built-in signal system designed for sideways or "flat" markets. When the indicator detects a "Contraction" state (determined by the ratio of channel height to standard deviation), it plots small circles at the +2/-2 standard deviation levels.
Green Circles: Potential long opportunities when price crosses below the lower signal band during a flat market.
Red Circles: Potential short opportunities when price crosses above the upper signal band during a flat market.
🔹 Future Projections & Profile
The heatmap extends beyond the current bar, providing a "Future Projection" zone. This allows traders to anticipate where support and resistance levels will be in the coming sessions. To the right of the projection, a Bookmap-style volume profile histogram displays the total volume distribution, helping to identify high-volume nodes (HVN) and low-volume nodes (LVN) at a glance.
🔶 DETAILS
🔹 Dynamic Auto-Adjusting Period
Unlike standard regression channels that use a fixed lookback, this tool features an adaptive engine. It calculates the ratio between short-term and long-term volatility (ATR).
In high-volatility environments, the channel period shrinks to become more reactive.
In low-volatility or ranging environments, the period expands to capture a broader structural view.
🔹 Volumetric Delta Histograms
The script calculates the approximate buying and selling volume for every candle within the lookback period. This data is visualized as histograms extending from the outer bands:
Top Band (Green): Displays buying pressure delta.
Bottom Band (Red): Displays selling pressure delta.
This allows traders to see not just where price is, but the intensity of the volume driving it toward the channel extremes.
🔶 SETTINGS
🔹 Core Settings
Source: The price source used for the regression calculation.
Base Period: The anchor length for the regression fit.
Dynamic Auto-Adjusting Period: Enables/disables the volatility-based adaptive lookback.
🔹 Heatmap Settings
Grid Rows Each Side: Determines the vertical resolution of the heatmap bands.
Gradient Smoothing: Applies a smoothing algorithm to the volume distribution for a cleaner visual gradient.
Colors 1-5: Customizable colors ranging from low-volume areas to high-volume "hot" zones.
🔹 Mean Reversion Signals
Signal Band (SD Multiplier): The standard deviation level required to trigger a signal.
Flat Slope Threshold: Controls how "flat" the channel must be to allow signals to appear, preventing counter-trend signals in strong trending markets.
🔹 Delta Histograms
Histogram Height Scale: Adjusts the vertical magnitude of the delta bars.
Histogram Bar Width: Sets the thickness of the individual delta lines.
🔹 Style & Options
Future Projection Length: How many bars to project the heatmap into the future.
Show Volume Profile Histogram: Toggles the right-sided volume distribution boxes.
🔹 Dashboard
Dashboard: Toggles the on-screen analytics panel.
Position/Size: Adjusts the location and scale of the dashboard UI.
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Strong Squeeze Signals | ProjectSyndicateStrong Squeeze Signals catches the moment a genuine volatility coil releases — and instead of treating every flat patch as a setup, it waits for a real squeeze to fire, tags the direction from momentum, and ranks the release 0–10 with a star score. A market that has been compressing for a stretch of bars — its Bollinger Band wound tightly inside its Keltner Channel — has to actually expand back out, in the direction of momentum, before a signal arms. Every setup gets a structural stop beyond the coil that just broke and fixed R-based targets, and is tracked live on a full statistics dashboard so you can see how the logic behaves on the exact symbol and timeframe you trade.
🧠 Squeeze-Release Core — the core idea. The engine measures volatility compression directly from two bands. When a Bollinger Band contracts entirely inside a Keltner Channel, the market is coiling: range is shrinking and energy is building. A signal fires on the release — the bar where the band expands back outside the channel — and the direction is set by a linear-regression momentum oscillator that measures how far price sits from a composite centreline. Momentum above zero on the release fires a long; below zero fires a short. The longer and tighter the coil before it lets go, the more it counts. Signals are evaluated on the bar's close and are fixed once that bar closes — the release does not repaint.
📈 Coil Mapping & Tightness — while a squeeze is active, the engine continuously tracks how many bars it has been compressing, the high and low extent of the coil, and how tight it became — the Bollinger half-width as a fraction of the Keltner half-width. A long coil that wound down to a very tight ratio is a loaded spring; both the duration and the tightness feed directly into the strength score. A minimum-coil filter ignores fleeting micro-squeezes, and an optional Strict Fire setting demands a confirmed expansion on the release bar rather than just the end of the coil.
🎯 Structural Stop + R-Based Targets — the stop is placed just beyond the coil that just broke, with an ATR buffer: below the coil's low for a long, above the coil's high for a short — then capped and floored by ATR so it can never balloon into a wide stop or collapse into a meaningless one. TP1, TP2, and TP3 are set at clean R multiples and default to 0.5R / 0.75R / 1.25R — a tighter, hit-rate-leaning profile out of the box, and fully adjustable to whatever reward-to-risk you prefer. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled price levels, and filled TP / SL zone boxes, with a result label on exit.
🎚️ Coil-Conviction Controls — two inputs set how serious a squeeze must be before its release counts: Minimum Coil Bars To Arm how long the spring must compress and Minimum Strength the 0–10 gate. Tighten them for fewer, higher-quality fires; loosen them for more frequent signals. This is your main dial for conviction versus frequency.
🧭 HTF Trend Alignment Filter — an optional higher-timeframe EMA filter blocks counter-trend fires, keeping you on the dominant side of the market: longs only above it, shorts only below. The higher-timeframe value is read without lookahead. A signal cooldown spaces out entries so a single impulsive expansion doesn't stack multiple tickets.
⭐ 0–10 Setup-Quality Score — every release is scored and labeled with 1–5 stars and a tier FORMING → WEAK → MODERATE → STRONG → VERY STRONG → ELITE across nine squeeze-native factors: coil length stored energy, coil tightness how far the band compressed inside the channel, momentum magnitude at release, momentum acceleration in the fire direction, volume confirmation, expansion-candle body and range, band-width widening on the break, higher-timeframe alignment, and RSI agreement. Treat the score as a confluence / cleanliness read for ranking and thinning setups — it describes how textbook a squeeze release is, not a guaranteed outcome. A Minimum Strength / Only Strong gate lets you display and alert on stronger setups only, while the dashboard keeps tracking every tier in the background.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: the current squeeze state coiling / fired / expanded / no squeeze, live coil-bar count, the momentum reading, current status and the active trade, the last signal with its star score, total signals, win rate, closed trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL hit breakdown. These are computed live from the signals on your current symbol and timeframe — so you can judge the settings yourself rather than trusting a number printed in a description.
🎨 Clean Themed Visuals — an institutional colour palette shades each zone by direction and score: bullish coils run a teal family that deepens as the score climbs, bearish coils a red-to-magenta-to-purple family, so quality reads at a glance. The compression zone is drawn over the bars where the coil formed and labeled with FIRE plus its star score; the TP and SL zones are harmonized to the same palette. Four lighting themes drive the lines, labels, and dashboard; an optional faint background tint marks active coils, and optional state dots can sit under the chart. A Max Zone Width control caps how far the SL / TP / Entry zones extend to the right, so long trades never stretch into oversized towers across the chart.
🔔 Detailed Alerts — fires on strong long / short squeeze releases, plus squeeze-on new coil forming, squeeze-released, partial-TP, TP3, and SL events, including direction and score, formatted for manual or automated use. The minimum-strength setting can restrict alerts to higher-conviction setups.
🔧 Fully Customizable — every component is exposed: Bollinger and Keltner lengths and multipliers, the true-range toggle, minimum coil bars and Strict Fire confirmation, the 0–10 strength gate and Only-Strong filter, ATR length, the structural-stop buffer with risk cap/floor, the three R targets, level-shelf length and Max Zone Width, the HTF alignment filter, the signal cooldown, plus the full institutional box palette, all four themes, and every label, dashboard, and zone-shading option.
🎯 Why this is different — most squeeze tools just print a histogram or drop a dot when the bands let go and leave everything after that to you. This one classifies the release direction from momentum, requires a real coil rather than a momentary flat spot measuring both how long and how tightly it compressed, demands momentum, acceleration, volume, and expansion confirmation, anchors the stop to the coil that actually broke, then layers an objective 0–10 ranking and a live, on-chart statistics panel on top — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — markets that coil and expand: Forex, Gold XAUUSD, indices, and crypto, on intraday and swing timeframes M10/M15/M30/H1 and up. The ATR-based stop and R targets adapt to each asset's volatility automatically.
🎯 How to trade it
Apply it to a market that produces real volatility cycles and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit that market, you'll see it.
Keep the HTF Trend Alignment filter on so you only take releases in the direction of the larger trend.
Wait for a STRONG LONG FIRE / STRONG SHORT FIRE label — it marks a confirmed coil release, with the star score and Entry, SL, and TP1/2/3 already plotted.
Manage the trade with the plotted levels: with the default sub-1R targets a common approach is to bank TP1 quickly, then trail or hold the remainder toward TP2/TP3; the structural SL defines your risk on the trade. If you prefer a higher reward-to-risk profile, widen the R targets in the inputs.
Use Minimum Coil Bars and Minimum Strength to set your style — stricter for fewer, cleaner releases; looser for more activity — and use the star score and Only-Strong gate to focus on the cleanest setups.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by symbol, timeframe, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. Note the default targets are sub-1R 0.5R / 0.75R / 1.25R: tight targets tend to raise the raw hit rate while lowering the reward-to-risk on each trade, so win rate read on its own is misleading — always weigh it together with average R and profit factor, and resize the targets to your own risk profile. Signals confirm on the closed bar, so always wait for the labeled release on a closed candle. Always combine it with your own analysis and risk management, and test it on your market before trading it live.
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Retest & Break Setup [LuxAlgo]The Retest & Break Setup indicator identifies and tracks price action structures where price breaks a pivot level, retests it multiple times, and subsequently breaks out to confirm the trend.
🔶 USAGE
The indicator identifies "Retest & Break" patterns by monitoring pivot levels (Pivot Highs for bullish setups and Pivot Lows for bearish setups). A setup begins when a pivot is broken by price. The script then tracks whether price returns to "retest" this broken level as support or resistance.
A setup is considered "completed" once the required number of retests is met and price breaks out past the newly formed extreme established during the retest phase. For bullish setups, this means price must close above the highest high reached during the retest period. For bearish setups, price must close below the lowest low reached during the retest period.
A completed bullish setup suggests that price is likely to continue moving higher, while a bearish setup suggests a move lower. The logic behind this is often linked to liquidity; as price retests a level multiple times without breaking back through, liquidity (such as stop-loss orders) builds up just beyond the retest extremes.
When price finally breaches these levels, this concentrated liquidity can act as fuel, accelerating the breakout and confirming the new trend direction.
🔹 Parameters and Setup Sensitivity
The behavior of the indicator is highly dependent on four primary settings:
Length: Determines the significance of the initial pivot. A higher value identifies major swing points, while a lower value identifies minor intraday levels.
Required Consecutive Retests (K): Specifies how many times price must touch the broken level without breaking back through it. Increasing this value requires more confirmation before a setup is considered valid.
Max Bars between Retests (P): Controls the "tightness" of the retest phase. If price takes too long to return for a retest, the setup is invalidated.
Max Bars for Break (N): Defines the window of opportunity for the final breakout. After the required retests are met, price must break the recent extreme (high for bullish, low for bearish) within this many bars.
🔹 Finding Long-Term vs. Short-Term Setups
For users looking for longer-term, more significant setups, it is recommended to increase the Length (e.g., 10-20) and the Max Bars parameters ( N and P ) to allow for the slower price development typical of higher timeframes or major trend shifts.
Conversely, for scalping or fast-moving markets, lower values for Length and P will highlight quick "touch-and-go" patterns.
🔶 DETAILS
The indicator includes a comprehensive dashboard to help users evaluate the historical reliability of the identified structures on the current chart and timeframe.
🔹 Dashboard Metrics
Total: This counts the number of setups that successfully completed the initial break and all required K retests. It represents the "Potential" setups that reached the final stage.
Completion: This tracks how many of the "Total" setups actually achieved a confirmed breakout past the retest extreme within the N bars limit.
Win Rate: This is a predictive performance metric. For every "Completed" setup, the script records the price at the moment of breakout. After N bars have passed since that breakout, it checks if price is still above (bullish) or below (bearish) the breakout level.
🔹 Visualization
The script uses dashed lines to represent the broken pivot level being retested. Solid lines represent the "trigger" level (the extreme of the retest phase). When a setup is completed, a shaded box appears, and a "Break" label is plotted. If "Only Show Complete Setups" is disabled, invalidated setups will remain on the chart in a faded gray color for study.
🔶 SETTINGS
Length: The lookback period used to detect Pivot Highs and Lows.
Max Bars for Break (N): The maximum time allowed for price to break out after the final retest.
Max Bars between Retests (P): The maximum time allowed between the initial break and the first retest, or between subsequent retests.
Required Consecutive Retests (K): The number of successful retests required to validate the zone.
Only Show Complete Setups: When enabled, removes setups from the chart that failed to meet the retest or breakout criteria.
Setup Colors: Customizable colors for bullish, bearish, and invalidated patterns.
Dashboard Settings: Options to toggle the dashboard visibility, change its position on the chart, and adjust its size.
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Strong Breakout Signals | ProjectSyndicateStrong Breakout Signals catches high-probability trend breakouts the moment a genuinely tested level gives way — and instead of treating every poke past a line as a breakout, it confirms each one with two independent engines and ranks it 0–10 with a star score. A clustered support/resistance wall that price has touched several times, or a clean break of market structure BOS / CHoCH, has to break with real momentum before a signal arms. Every setup gets a structural stop beyond the broken zone and fixed R-based targets, and is tracked live on a full statistics dashboard so you can see how the logic behaves on the exact symbol and timeframe you trade.
🧠 Dual-Engine Hybrid Breakout Core — the core idea. Two confirmation engines run in parallel. Engine A Clustered-Zone Break only fires when price breaks through a real support/resistance wall built from several pivots stacked at the same level — a level the market has actually respected, not an arbitrary line. Engine B Market-Structure Break tracks the most recent swing high/low and tags the break as BOS break of structure — a continuation or CHoCH change of character — where the break flips the prior direction. When both engines agree on the same bar, the setup earns a confluence bonus. Signals are evaluated on the bar's close and are fixed once that bar closes — historical signals do not repaint the tested-zone pivots confirm after the pivot lookback, an inherent property of pivot detection.
📈 Tested-Zone & Structure Mapping — a pivot engine continuously maps recent swing highs and lows, then groups nearby pivots into banded zones. The more times a level has been tested, and the older the wall, the more significant its break — both feed directly into the strength score. You choose how many touches a level needs to qualify and whether breaks confirm on the candle close stricter or the wick earlier.
🎯 Structural Stop + R-Based Targets — the stop is placed just beyond the broken zone with an ATR buffer the resistance that just broke becomes the new support, or vice-versa, then capped and floored so it can never balloon into a wide stop or collapse into a meaningless one. TP1, TP2, and TP3 are set at clean R multiples TP1 defaults to a full 1R — a real first target, not a clipped one. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled price levels, and filled green TP / red SL zone boxes, with a result label on exit.
🎚️ Zone-Conviction Controls — two inputs set how established a level must be before its break counts: Minimum Pivot Tests how many touches build the wall and Minimum Strength the 0–10 gate. Tighten them for fewer, higher-quality breakouts; loosen them for more frequent signals. This is your main dial for conviction versus frequency.
🧭 HTF Trend Alignment Filter — an optional higher-timeframe EMA filter blocks counter-trend breakouts, keeping you on the dominant side of the market longs only above it, shorts only below. The higher-timeframe value is read without lookahead. A signal cooldown spaces out entries so a single impulsive move doesn't stack multiple tickets.
⭐ 0–10 Setup-Quality Score — every breakout is scored and labeled with 1–5 stars and a tier FORMING → WEAK → MODERATE → STRONG → VERY STRONG → ELITE across zone quality number of tests, zone age, breakout-candle body, range expansion ATR, volume confirmation, momentum alignment, clean-break distance, RSI agreement, two-engine confluence, and HTF alignment. Treat the score as a confluence / cleanliness read for ranking and thinning setups — it describes how textbook a breakout is, not a guaranteed outcome. A Minimum Strength / Only Strong gate lets you display and alert on stronger setups only, while the dashboard keeps tracking every tier in the background.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: current status and the active trade, the last signal with its BOS / CHoCH tag and score, total signals, win rate, closed trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL hit breakdown. These are computed live from the signals on your current symbol and timeframe — so you can judge the settings yourself rather than trusting a number printed in a description.
🎨 Clean Themed Visuals — four color themes, a breakout zone whose shading grows more opaque the stronger the score so quality reads at a glance, opaque labels anchored clear of price for unobstructed reading, and a compact level ticket that stays attached to each trade and snaps to the exit bar when it closes. A Max Zone Width control caps how far the SL / TP / Entry zones extend to the right, so long trades never stretch into oversized towers across the chart.
🔔 Detailed Alerts — fires on strong long / short breakouts, plus partial-TP, TP3, and SL events, including direction and score, formatted for manual or automated use. The minimum-strength setting can restrict alerts to higher-conviction setups.
🔧 Fully Customizable — every component is exposed: pivot period and zone-history depth, minimum pivot tests, close-vs-wick break confirmation, the two breakout engines toggle each independently, zone band width, the 0–10 strength gate and Only-Strong filter, ATR length, the structural-stop buffer with risk cap/floor, the three R targets, level-shelf length and Max Zone Width, the HTF alignment filter, the signal cooldown, plus all dashboard, label, theme, and zone-shading options.
🎯 Why this is different — most breakout tools fire the instant price pokes past a line and treat every signal the same, which is exactly how they get chewed up by fakeouts. This one requires a level the market has genuinely tested, or a real break of market structure, classifies it as BOS or CHoCH, demands momentum / range / volume confirmation, anchors the stop to the structure that actually broke, then layers an objective 0–10 ranking and a live, on-chart statistics panel on top — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — momentum and trend-developing markets across Forex, Gold XAUUSD, indices, and crypto, on intraday and swing timeframes M10/M15/M30/H1 and up. The ATR-based stop and R targets adapt to each asset's volatility automatically.
🎯 How to trade it
Apply it to a market that produces real breakouts and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit that market, you'll see it.
Keep the HTF Trend Alignment filter on so you only take breakouts in the direction of the larger trend.
Wait for a STRONG LONG / STRONG SHORT BREAKOUT label — it marks a confirmed break of a tested zone or structure, with the BOS / CHoCH tag, star score, and Entry, SL, and TP1/2/3 already plotted.
Manage the trade with the plotted levels: a common approach is to take partial profit at TP1 1R, move the stop toward breakeven, and let the rest run to TP2/TP3. The structural SL defines your risk on the trade.
Use Minimum Pivot Tests and Minimum Strength to set your style — stricter for fewer, cleaner breakouts; looser for more activity — and use the star score and Only-Strong gate to focus on the cleanest setups.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by symbol, timeframe, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The first target is a genuine 1R and the stop is structural by design no inflated win-rate geometry, which means reward-to-risk and position sizing matter as much as hit rate. Pivot-based zones confirm after the pivot lookback inherent pivot lag, so always wait for the labeled signal on a closed bar. Always combine it with your own analysis and risk management, and test it on your market before trading it live.
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Strong Pullback Signals | ProjectSyndicateStrong Pullback Signals identifies high-probability trend-continuation entries by waiting for an established trend, a clean breakout, and then a pullback — and instead of chasing the bounce, it places the entry with a limit order into the pullback at a better price. Every setup is given a structural stop beyond the pullback swing and fixed R-based targets, ranked 0–10 with a star score, and tracked live on a full statistics dashboard so you can see how the logic behaves on the exact symbol and timeframe you trade.
🧠 Limit-Into-Pullback Entry Engine — the core idea. The indicator arms only after a real breakout in the direction of the trend, then works a limit order back into the pullback rather than entering at the close of a confirmation candle. You get filled at a better price on the retracement instead of paying up after the move has already resumed. Signals confirm on closed bars and do not repaint historically.
📈 Triple-EMA Trend Regime — a fast, slow, and pullback EMA define the trend and the retracement zone. A setup can only arm when price, the EMAs, and the EMA slope all agree, so entries are taken with the trend, not against it.
🎯 Structural Stop + R-Based Targets — the stop is placed just beyond the pullback's swing extreme with an ATR buffer, then capped and floored so it can never balloon into a "wide stop" or collapse into a meaningless one. TP1, TP2, and TP3 are set at clean R multiples (TP1 defaults to a full 1R — a real first target, not a clipped one). Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled price levels, and filled green TP / red SL zone boxes, with a result label on exit.
🎚️ Adjustable Entry Depth — one input controls how deep into the pullback the limit sits. Deeper fills mean a better entry price and fewer trades; shallower fills mean more frequent entries. This is your main dial for trading conviction versus frequency.
🧭 HTF Trend Alignment Filter — an optional higher-timeframe EMA filter blocks counter-trend setups, keeping you on the dominant side of the market. RSI-direction and session (time-of-day) screens are also available for further filtering.
⭐ 0–10 Setup-Quality Score — every signal is scored and labeled with 1–5 stars and a tier (FORMING → ELITE) across HTF alignment, trend strength, entry depth, momentum, volume, and session. Treat the score as a confluence / cleanliness read for ranking and thinning setups — it describes how textbook a setup is, not a guaranteed outcome. A "Minimum Stars / Only Strong" gate lets you display and alert on stronger setups only while the dashboard keeps tracking every tier in the background.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: current trend and setup status, the active trade, the last signal and its score, win rate, total trades, profit factor, average R per trade, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL hit breakdown. These are computed live from the signals on your current symbol and timeframe — so you can judge the settings yourself rather than trusting a number printed in a description.
🎨 Clean Themed Visuals — four color themes, opaque labels anchored clear of price for unobstructed reading, and a compact level "ticket" that stays attached to each trade and snaps to the exit bar when it closes.
🔔 Detailed Alerts — fires on strong long / short entries, plus partial-TP, TP3, and SL events, including direction and score, formatted for manual or automated use. A minimum-stars setting can restrict alerts to higher-conviction setups.
🔧 Fully Customizable — every component is exposed: the three EMAs and slope, breakout lookback and body filter, cooldown, entry depth, structural-stop buffer with risk cap/floor, the three R targets, the HTF / RSI / session filters, the six score weights, and all dashboard, label, and theme options.
🎯 Why this is different — most pullback and reversal tools enter by chasing a confirmation candle and treat every signal the same. This one fixes the entry mechanics first (a limit into the pullback for a better fill, with a structural stop and honest R targets), then layers an objective 0–10 ranking and a live, on-chart statistics panel on top — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — trend-following markets across Forex, Gold (XAUUSD), indices, and crypto, on intraday and swing timeframes (M10/M15/M30/H1 and up). The ATR-based stop and R targets adapt to each asset's volatility automatically.
🎯 How to trade it
Apply it to a market that actually trends and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit that market, you'll see it.
Keep the HTF Trend Alignment filter on so you only take pullbacks in the direction of the larger trend.
Wait for a STRONG LONG / STRONG SHORT label — that marks a filled limit entry into a pullback, with Entry, SL, and TP1/2/3 already plotted.
Manage the trade with the plotted levels: a common approach is to take partial profit at TP1 (1R), move the stop toward breakeven, and let the rest run to TP2/TP3. The structural SL defines your risk on the trade.
Use Entry Depth to set your style — deeper for fewer, higher-quality fills; shallower for more activity — and use the star score and Minimum-Stars gate to focus on the cleaner setups.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by symbol, timeframe, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The first target is a genuine 1R and the stop is structural by design (no inflated win-rate geometry), which means reward-to-risk and position sizing matter as much as hit rate. Always combine it with your own analysis and risk management, and test it on your market before trading it live.
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Multi-Strategy Portfolio Optimizer [LuxAlgo]The Multi-Strategy Portfolio Optimizer indicator is a comprehensive quantitative tool that evaluates 9 distinct trading setups across trend-following, momentum, and mean-reversion categories to construct an optimized, equally-weighted portfolio.
🔶 USAGE
This script aims to help users identify which trading methodologies are currently performing best on a specific ticker and timeframe, while simultaneously monitoring how well those strategies diversify each other to create a smoother equity curve.
🔹 Strategy Selection & Evaluation
The optimizer evaluates three unique parameter variations for each of the following 9 strategy types:
Supertrend & EMA Crossovers: Captures sustained directional trends.
MACD & CCI: Focuses on momentum shifts and overextended breakouts.
Donchian Channels: Classic breakout logic based on price extremes.
RSI Trend: Uses RSI levels to confirm momentum direction.
RSI Rev, Bollinger Bands & Stochastic: Targets mean-reversion and overbought/oversold exhaustion.
The tool automatically selects the "Best Setting" for each category by comparing the cumulative performance of all three variations across the available chart history. Only the top-performing variation from each category is included in the final portfolio calculation.
🔹 Equity Dashboards
The indicator features two primary visual interfaces to monitor performance and risk:
Floating Curves Box: Displays a real-time equity curve of the total portfolio (thick white line) against the individual active strategies (faded colored lines). This allows users to see the recent performance stability over a user-defined lookback.
Correlation Heatmap: Analyzes the statistical relationship between active strategies. This table uses color-coding to show how similar or different strategy returns are, providing a "Diversification Grade" (e.g., Excellent, Good, Poor) to help users avoid over-exposure to a single market regime.
🔹 Trade Visualization
Users can enable "Show Past & Open Trades" to audit the simulated performance directly on the price action. The script plots entry lines and shaded ATR-based Stop Loss (red) and Take Profit (green) zones for both currently active and historical trades.
🔶 DETAILS
🔹 Best Setting Logic
For every strategy category, the script runs three parallel simulations with different sensitivity settings. The "Best Setting" displayed in the dashboard is the variation that has achieved the highest cumulative percentage return since the beginning of the chart.
🔹 Portfolio Calculation (Equal Weight)
The Portfolio Equity Curve is calculated by averaging the cumulative returns of all active "best" setups on a bar-by-bar basis. This simulates an equally weighted allocation where the capital is distributed evenly across all chosen trading methodologies, aiming to reduce the drawdown typically associated with a single-strategy approach.
🔹 Diversification & Correlation
The Heatmap calculates a Pearson correlation coefficient over a rolling 100-bar window for every pair of active strategies.
Correlation > 0.7 (Red): Strategies are moving in lockstep, offering little diversification.
Correlation near 0 (Yellow): Strategies are independent, providing healthy diversification.
Correlation < -0.2 (Green): Strategies are inversely correlated, which can significantly hedge portfolio volatility.
🔹 Auto-Scaling Polylines
The floating curves dashboard uses a dynamic normalization algorithm. It captures the highest and lowest equity values within the user-defined lookback (Curves Length) and scales them to fit within the box height. This ensures the curves remain visible and proportional regardless of whether the returns are 1% or 100%.
🔶 SETTINGS
🔹 Strategies
Enable : Toggles whether a specific strategy category is evaluated and included in the portfolio math.
🔹 Risk Management
Enable Stop Loss & Take Profit: Toggles the ATR-based exit engine.
ATR Length: The period used for calculating volatility-based exits.
Stop Loss / Take Profit Mult: The multipliers that define the distance of exit targets from the entry price.
Show Past & Open Trades: Visualizes the execution zones on the chart.
🔹 Dashboard
Main Dashboard / Correlation Heatmap: Toggles the visibility of the tables.
Position: Moves the UI elements to different corners of the chart.
Curves Length: Determines the lookback for the floating equity chart.
Curves Vertical Position: Allows you to pin the curves box to the Top, Middle, or Bottom of the price range.
Curves Box Height (%): Adjusts the vertical scale of the equity chart relative to the price action.
Size: Controls the scale of the text and tables (Tiny to Huge).
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Strong FU Candle | ProjectSyndicateSTRONG FU CANDLE
Strong FU Candle marks the exact bars where the market sweeps liquidity and snaps back — the classic "follow-up" reversal candle that traps breakout traders and ignites the move the other way. It scans every bar for a liquidity grab beyond the prior candle's wick followed by an engulfing close back through it, grades each setup on candle anatomy, projects a full Entry / Stop / TP1-TP2-TP3 trade plan with live fill tracking, and stores the resulting liquidity zones so you can see — on the same chart — which FU types actually held and which failed.
🎯 0–10 QUALITY SCORE
Each FU candle earns a live grade from five sign-stable anatomy factors on the setup bar itself:body dominance — body-to-range ratio (a real FU closes near its extreme, not in the middle).Opposite wick — penalises any pullback from the close back into the body, since a clean FU has almost no opposite wick.Grab wick — rewards a meaningful sweep wick but punishes the oversized "all wick, no body" candle.Close position — how far into the bar's range the close lands (≥90% of range = full credit).Size & participation — bonus when the candle is normal-sized relative to ATR (not a micro-bar, not a freak spike) and volume is at or above its average.
🏷️ CALIBRATED TIERS — C / B / A / S
The raw 0–10 score maps to four tiers, calibrated on 8 H1 FX pairs (2024–2026) at 1:1 RR: C≈52%, B≈53%, A≈55%, S≈59% win rate (vs 54.6% unfiltered). Raise the minimum tier toward A/S for higher win rate and fewer signals; drop to C for maximum signal flow.
🕯️ FULL vs ATTEMPTED (ATT) FU
Full FU = close fully engulfs the prior candle's wick. Attempted FU = close engulfs the prior candle's body but not its wick — weaker, but often a valid early reversal. ATT can be toggled off entirely.
🧹 FILTERS
EMA filter (bull FUs only above EMA, bear FUs only below — keeps you trading with short-term momentum), rejection filter (drops candles where the opposite-side wick is larger than the body), fractal filter (requires the FU to actually sweep a recent swing high/low), and a configurable point-size system so every threshold — grab size, engulf depth, min/max body, min range — scales correctly across gold, FX, indices and crypto.
🧊 LIVE LIQUIDITY ZONES
Every qualifying FU is drawn as a zone anchored to the bar that created it, sourced from either the grab wick (default) or the full FU candle range, with an optional 50% midline. Zones never drift — they sit on the price action that formed them. A label above each zone shows timeframe, side, tier, score, BIW marker, and the live win rate of that side on this timeframe.
📜 HISTORIC ZONES & WINNER LEVELS
Old zones fade into a historic layer, colour-coded by outcome (green = TP1 hit, red = stopped out). Option to show winners only and clean the chart of losses. For the most recent N winners the indicator can re-draw the original Entry, Stop and TP1/TP2/TP3 lines on the historic zone, so you can visually audit exactly how the playbook performed in past conditions.
📐 PROJECTED TRADE PLAN — ENTRY / SL / TP1-TP2-TP3
Every new FU prints a complete trade plan on the chart: Entry (at 50% body, 50% wick, or FU close — your pick), Stop with adjustable buffer beyond the candle, and TP1 / TP2 / TP3 at user-defined R multiples. Reversal mode treats bullish FU as a BUY; Fade mode flips it.
🎛️ LIVE TRADE PANEL
A side panel tracks the latest setup in real time: direction, exact Entry / SL / TP1 / TP2 / TP3 prices, and a live status line — PENDING → FILLED → TP1 hit → TP2 hit → TP3 HIT, or STOPPED OUT, or NO FILL (missed) if price ran without filling.
📊 STATS DASHBOARD
A separate leaderboard tracks per-side performance on the current timeframe and current tier filter: Win Rate, Probability of Touch (fill rate), Expected Value in R, configured R:R, average bars to win, average bars to loss, and a W / L • n • avg-score line. BUY and SELL columns are tracked independently so you can see if one side is dominating.
🌐 MULTI-TIMEFRAME OVERLAY
Up to three higher timeframes can be overlaid as drawn-only zones (15m / 1H / 4H by default, any TF), so a 5m chart can show 1H FU zones still in play. Higher-TF zones are draw-only and excluded from current-TF stats to keep the dashboard honest.
🔔 NATIVE ALERTS
Dedicated alerts for a BUY setup formed, a SELL setup formed, any bullish/bearish FU on any active TF, price touching an FU zone (entry filled), and price approaching a zone within a user-set tick proximity.
🔧 FULLY ADJUSTABLE
Detection thresholds in points (grab size, engulf depth, min range, min/max body); ATT FU on/off; EMA / rejection / fractal filter toggles and lengths; volume baseline length; minimum tier and minimum numeric score; direction logic (Reversal vs Fade); entry mode and stop buffer; TP1/TP2/TP3 multiples; zone source (grab wick vs full range), max active zones per side, historic cap, transparencies, midline on/off; full colour theme (bull, bear, win, loss, touched border); candle-colour toggle; label size; dashboard position and text size; up to three MTF channels; alert proximity.
🚀 Works on gold (XAUUSD), silver, forex, crypto and indices, on any timeframe.
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HOW TO TRADE IT — TWO APPROACHES
The tier chooses the playbook. High-tier FUs tend to reverse cleanly; low-tier FUs are coin flips that need extra confluence.
TRADE THE FU — reversal (A / S tier, score ≥ 6.5)
Use when a high-tier FU prints — calibrated to win ~55–59% at 1:1 with positive expectancy.
Wait for the FU to close and the trade plan to draw — Entry, SL, TP1/TP2/TP3.
Take the entry at your chosen level (50% body is the default — gives a pullback fill).
Stop just past the FU extreme with the buffer.
Scale at TP1, trail or hold for TP2 / TP3.
The trade panel tells you live whether you are PENDING, FILLED, in profit, or stopped.
FILTER & WAIT — selectivity (C / B tier)
Use C and B tier as context, not standalone signals — at the unfiltered ~54% baseline they need help.
Drop to C/B only when stacked with: a strong S/R level, an HTF FU in the same direction, an EMA reclaim/loss, or a fractal sweep.
Otherwise raise the minimum tier to A or S and accept fewer signals for a higher hit rate.
Use the live dashboard — if BUY WR on this TF is sitting at 45% over a decent n, that's a signal to either flip to Fade mode or sit out longs entirely on this instrument.
Rule of thumb: S/A tier → take the trade as drawn. B/C tier → needs confluence, or skip. Watch the live dashboard — let the actual win rate on this instrument tell you which side is paying.
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⚠️ This tool identifies high-probability liquidity-grab reversal candles and frames a full trade plan around each one. It is NOT a standalone buy/sell signal. Always combine it with your own strategy, price-action analysis and risk management to confirm setups. Past statistical behaviour does not guarantee future results.
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Strong Reversal Signals | ProjectSyndicateStrong Reversal Signals automatically identifies high-probability, non-repainting reversal setups formed after liquidity grabs, then ranks every signal 0–10 with a star strength score so you can instantly see the strongest trades. It calculates adaptive take-profit and stop-loss zones based on Average Daily Range (ADR), after each sweep, and presents a complete statistical breakdown — including win rate by strength tier — on a non-intrusive dashboard to provide a quantifiable, rankable edge.
⭐ Star Strength Ranking (0–10) — every signal is scored across five independently-tested factors (trend context, rejection-wick depth, volatility regime, mean proximity, and sweep depth) and labeled with 1–4 stars. The ranking was validated symbol-out across multiple GBP datasets, so the stars genuinely separate win rate rather than just decorating the chart.
🧠 NRP Liquidity-Grab Reversal Engine — uses a non-repainting pivot/HTF/session engine to detect liquidity sweeps, ensuring signals are stable and never repaint.
🎯 ADR-Adaptive TP/SL Zones — automatically calculates and plots uniform-width TP1, TP2, and SL zones as a percentage of the 10-day ADR, so the strategy dynamically adapts to any asset's volatility. Every historic signal keeps its full zone set on the chart.
🎨 Clean Green/Maroon Theme — BUY Reversal labels are green and SELL Reversal labels are maroon, each carrying its star rank, with fully opaque labels anchored clear of the candles for instant, unobstructed visual confirmation.
📊 Win-Rate-by-Strength Dashboard — a complete statistical overview: real-time ADR10, total trades, wins/losses, total R, expectancy, TP2 hits, the last 10 outcomes, and a dedicated Win Rate By Strength table showing the live win rate and sample size for each star tier (★ through ★★★★).
✅ Strength-Gated Display & Trading — a single "Minimum Stars To Plot" input lets you hide weaker setups and focus only on the strongest, while the dashboard keeps tracking every tier in the background.
🔔 Star-Ranked Alerts — get a single, detailed alert per signal including direction, star rank and strength tier (ELITE/STRONG/MODERATE/WEAK), symbol, timeframe, entry, SL, TP1, and TP2 — formatted for automated trading. A dedicated "Alert Minimum Stars" setting lets you fire alerts on strong setups only.
🔧 Fully Customizable — control everything from liquidity source , pivot length, and the five strength weights to TP/SL percentages, zone width and height, label and dashboard sizes, colors, and the star thresholds for plotting and alerts.
🎯 Why this algo is unique: Standard reversal and ZigZag indicators repaint and offer subjective signals with no statistical backing — and crucially, they treat every signal as equal. This algorithm provides an objective, non-repainting signal engine and ranks each setup by measured strength, with the ranking validated out-of-sample so the strongest signals demonstrably win more often. It builds a complete, quantifiable framework around each reversal with adaptive ADR risk management and a dashboard that proves performance per strength tier on the chart you are trading.
🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any M5/M10/M15/M30/H1. The ADR-based zones and strength engine adapt from M5 scalping to H4 swing trading.
🎯 How to use this? Watch the Win-Rate-by-Strength table to see which tiers perform best on your asset/timeframe, then prioritize ★★★★ setups (or set "Minimum Stars To Plot" to 4). Adjust the TP/SL percentages to your risk tolerance, and favor signals that align with the higher-timeframe trend.
⚠️ IMPORTANT NOTICE: This indicator identifies statistically-backed, strength-ranked reversal signals. The published win rates are historical, measured on specific GBP M10 data and a fixed target geometry — past performance does not guarantee future results, and figures will vary by symbol, timeframe, and settings. The system also wins small per trade relative to its stop (high win rate, modest reward-to-risk), so position sizing matters. It should NOT be used as a standalone entry signal. Always combine it with your own strategy, price action analysis, and risk management.
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Strong Rejection Zones | ProjectSyndicateSTRONG REJECTION ZONES
Strong Rejection Zones marks the prices where the market keeps getting pushed back, and grades every one of them so you can tell at a glance which levels are worth respecting and which are likely to fold. It scans for three independent signatures of rejection — swing pivots, dominant rejection wicks, and volume spikes — folds overlapping hits at the same price into a single zone, and assigns each zone a live 0–10 power score built only from measurable level quality. Heavily-confirmed zones are drawn bold and solid; thin, one-off levels stay faint. An on-chart leaderboard ranks every live zone, so the whole support-and-resistance map is readable in one look.
🎯 0–10 POWER SCORE
Each zone earns a live grade from four weighted, sign-stable factors:
Confluence — how many separate detections stack at the level, with diminishing returns so one isolated touch never scores high on its own.
Diversity — a level confirmed by pivots AND wicks AND volume outranks one confirmed a single way.
Detection strength — volume versus its baseline, wick dominance, and range expansion on the candle that formed the level.
Recency — recently defended levels rank above stale ones, with a configurable decay.
ELITE (9–10) is intentionally hard to reach: in practice it takes all three footprint types lining up on a strong, fresh, well-confirmed level — so the grade reflects real edge, not decoration. All four weights are adjustable.
🏷️ IN-ZONE LABELS
Every graded zone carries a tag above the band — side (BULL / BEAR), tier, the X/10 score, a star rating, the confluence count (×N detections), and live distance from price in both percent and pips. The tag is pinned to the zone's right edge and grows inward, so it never hangs off the box.
🧲 CONFLUENCE MERGING
Same-side detections that land within the cluster tolerance are folded into one zone and raise its grade, instead of littering the chart with a separate line for every swing. One graded level per pool.
🥇 ELITE HIGHLIGHT
The top tier is rendered in a brighter shade of its side colour with a heavy accent border, so the levels that matter jump out before you read a single number. Tier ladder: FAINT → WEAK → MEDIUM → STRONG → ELITE.
🎨 STRENGTH-SHADED FILL
Fill opacity tracks the score — strong zones print solid, weak ones stay faint — so relative importance is visible without reading any text.
📊 RANKED DASHBOARD
A leaderboard sorts active zones by power and shows rank, side, tier, exact price, score with stars, and distance + direction from price (▲ above / ▼ below). Choose any of four corners, four text sizes (Tiny → Large), and how many rows to show. A header line summarises how many ELITE / STRONG / active zones are live.
📍 ORIGIN-ANCHORED ZONES
Each zone is drawn from the bar where its level first formed and extended to the right. It stays anchored to that price — it does not drift or re-center as new detections arrive, so the band always sits on the price action that created it.
🔒 STABLE, LOCK-IN ZONES
Zones are built only on confirmed bars and updated in place. A zone keeps its grade, tier and position once it is drawn; it only changes state when price genuinely breaches it (by close or by wick — your choice), at which point it either clears or stays on as a faded broken level.
🧹 CLEAN-UP FILTERS
Hide any zone under a chosen power score, enforce a minimum separation between same-side zones, and suppress zones forming right on top of current price.
🔔 NATIVE ALERTS
Dedicated alerts for an ELITE cluster forming, a STRONG cluster forming, a zone being breached, fresh bullish and bearish detections, and price approaching a STRONG or an ELITE zone.
🔧 FULLY ADJUSTABLE
Detection toggles and sensitivity (pivot length, wick-dominance ratio, volume-spike multiple, baseline length); clustering tolerance and minimum separation; zone geometry (ATR length, height, max active zones, right-extension); the four score weights plus confluence-for-full-credit, decay length and decay floor; score and distance filters, breach method (close or wick), and keep-or-clear on breach; the full colour theme (bull, bear, broken, accent), fill-opacity range and ELITE border width; label size and which scores get labelled; dashboard position, rows and text size; and alert thresholds.
🚀 Works on gold (XAUUSD), silver, forex, crypto and indices, on any timeframe.
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HOW TO TRADE IT — TWO APPROACHES
The score chooses the playbook. High-grade zones tend to hold and reverse; thin zones tend to give way. So treat them differently.
FADE THE ZONE — reversion (STRONG / ELITE, score ≥ 7)
Use when price is approaching a high-grade zone — the most-confirmed levels, and statistically the most likely to react.
Wait for price to tap the zone (the dashboard distance shows it closing in).
Look for a wick into the band and a close back outside it.
Enter on the rejection back out of the zone.
Stop just past the far edge — a sustained close through it means the level failed.
Target the next zone on the dashboard, then the nearest strong zone on the opposite side.
TRADE THE BREAK — continuation (WEAK / MEDIUM, or once a strong zone breaches)
Use on thin, single-type or stale levels — the ones most likely to break.
Wait for a decisive close through the zone on expanding volume, not a single wick.
The zone switching to a broken state is your confirmation it is a real break, not a stop-hunt.
Enter with the break beyond the zone, or on a retest of the broken level.
Stop back inside the broken zone.
Target the next zone in that direction.
Rule of thumb: high-grade → expect a reaction, fade the tap. Low-grade on volume → expect follow-through, trade the break.
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⚠️ This tool highlights high-probability rejection levels and frames fade-versus-break scenarios. It is NOT a standalone buy/sell signal. Always combine it with your own strategy, price-action analysis and risk management to confirm setups. Past statistical behaviour does not guarantee future results.
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Confluence FVG Finder | ProjectSyndicateConfluence FVG Finder automatically identifies and validates high-probability, non-repainting Fair Value Gaps. It filters for structural quality using an ATR-based imbalance filter, normalizes all zone heights for consistency, and embeds a live multi-timeframe confluence engine inside every zone to provide a quantifiable, data-driven edge.
🧠 Live Multi-Timeframe Engine — This is not a single-timeframe tool. Every FVG zone displayed on the chart is the result of a live, proximity-based confluence engine scanning three independent higher timeframes (default H1, H2, H4) simultaneously. Each label shows exactly how many timeframes confirmed the zone, its composite strength rating (0–10), the session it formed in, its age, and its exact pip height, giving you an instant structural edge.
🎯 Imbalance-Validated FVGs — The engine doesn't just mark any three-candle gap. It validates each Fair Value Gap on the higher timeframes by requiring the gap to exceed a user-defined multiple of ATR, filtering out insignificant micro-gaps and focusing only on imbalances that reflect true market-moving intent before they are even considered for merging.
🎨 ATR-Normalized Zones — Eliminates visual noise from inconsistent gap sizes. This feature forces every merged FVG zone to a uniform, ATR-based height (e.g., 0.75x ATR). This provides a clean, consistent chart and allows for a more objective analysis of price interaction with zones of equal visual weight, preventing oversized gaps from distorting the chart.
📊 Proximity-Based Merging — Timeframes rarely align perfectly to the pip. The confluence engine uses an intelligent ATR-based proximity tolerance to detect when Fair Value Gaps from different timeframes are clustered in the same price territory. It then mathematically merges them into a single, high-probability "Confluence Zone," ensuring you don't miss valid setups due to minor price discrepancies across timeframes.
✅ Chart-Timeframe Independent — The engine's credibility comes from its architectural stability. Each timeframe is detected entirely inside its own data context and every zone is anchored to the timestamp it formed on, so — unlike standard MTF indicators that repaint or shift zones depending on the chart you are viewing — the merged zones are mathematically identical whether you view them on a 5-minute, 15-minute, or 1-hour chart.
🔧 Fully Customizable — Control every aspect of the engine, including the 3 target timeframes (default H1 / H2 / H4), the Minimum Timeframe Confluence threshold (e.g., require 3 out of 3 TFs), the Proximity Tolerance multiplier, the Minimum Strength Filter, the per-timeframe strength bonus, the mitigation mode (Touch / Full Fill / 50% Fill), and the colors/visibility of Bullish and Bearish zones.
🔬 Why this algo is unique: Standard FVG indicators are subjective — often just shading every three-candle gap on the current timeframe with no proof of higher-timeframe alignment. The Confluence FVG Engine transforms this into an objective, multi-dimensional instrument. It doesn't just show you a gap; it proves the imbalance is backed by aligned intent across multiple timeframes, merging them into a single, undeniable area of interest on the exact chart you are viewing.
🌐 Apply to Gold (XAUUSD), Indices (US30, NAS100), Forex Majors, and Crypto. With the default H1 / H2 / H4 structure, execute from any timeframe at or below H1 (1m–1h) while the engine tracks the H1, H2, and H4 imbalances. The engine is designed for assets that exhibit clear impulsive moves and respect deep supply/demand dynamics.
🗂️ How to use this? The most critical metrics are the Timeframe Confluence Count and the Strength Rating. A zone confirmed by 3 timeframes with a Strength of 8.0+ indicates a massive structural edge. Consider only taking trades from these high-confluence zones that align with the prevailing higher-timeframe trend. The embedded label also shows the exact "pips away" distance, allowing for precise limit order placement. Note: Timeframe 1 is the anchor — keep your chart at or below it (H1 by default) so zones render exactly; an on-chart warning appears if your chart timeframe is set higher.
⚙️ IMPORTANT NOTICE: This indicator is a professional-grade tool designed to identify structural confluence. It should NOT be used as a standalone signal for entering trades blindly. Always use it in conjunction with your own trading strategy, price action analysis, and strict risk management to confirm trade setups.
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RSI Divergence: Out-of-Sample Optimizer [LuxAlgo]The RSI Divergence: Out-of-Sample Optimizer indicator is a comprehensive backtesting and optimization tool designed to identify the most effective RSI period for trading price-RSI divergences within a specified historical window and validate those results through out-of-sample and forward testing.
🔶 USAGE
The script is divided into three distinct chronological phases to simulate a professional quantitative workflow:
🔹 In-Sample (IS) Optimization
During this period (highlighted by the first background gradient), the script simulates dozens of RSI periods simultaneously. It calculates divergence signals and trade outcomes for every period within the user-defined range (e.g., RSI 2 to 50). The "best" period is selected based on your chosen Optimization Metric, such as Net Profit or Profit Factor.
🔹 Out-of-Sample (OOS) Validation
Once the best RSI period is identified in the IS phase, the script "locks" that parameter and applies it to the next segment of data (the OOS period). This tests whether the strategy’s performance was due to genuine market alpha or simply "curve-fitting" to historical noise.
🔹 Forward Testing
The Forward period represents the most recent data leading up to the current bar. The script continues using the parameter validated during the OOS phase to show how the strategy is performing in the current market environment.
🔶 DETAILS
🔹 Divergence Detection
The script identifies regular bullish and bearish divergences. A bullish divergence occurs when price makes a lower low while the RSI makes a higher low. A bearish divergence occurs when price makes a higher high while the RSI makes a lower high. The script uses pivot lookback settings to confirm these peaks and troughs.
🔹 Trade Execution Logic
Trades are entered on the bar following a confirmed divergence. Stop loss and take profit levels are calculated using an ATR (Average True Range) multiplier to account for market volatility. Users can also enable "Exit on Opposite Signal" to close trades if a contrary divergence appears before hitting a price target.
🔹 Sensitivity Analysis (Heatmap)
The dashboard includes a "Sensitivity Table" that acts as a heatmap. It displays every RSI period tested during the In-Sample phase. Darker green cells indicate superior performance, while darker red cells indicate poorer performance based on the selected optimization metric. This allows you to see if your "best" setting is an outlier or part of a robust cluster of profitable periods.
🔶 SETTINGS
🔹 Optimization & Backtest Ranges
In-Sample Start/End: Defines the historical window used to find the best performing RSI period.
Out-of-Sample Start/End: Defines the validation window where the best IS period is tested on unseen data.
Min/Max RSI Period: The range of RSI lengths the script will simulate (e.g., 2 to 50).
Optimization Metric: The primary KPI used to rank RSI periods (e.g., Sharpe Ratio, Win Rate, Net Profit).
🔹 Divergence Settings
Pivot Left/Right Bars: The number of bars required on either side of a point to confirm a local high or low in the RSI.
Max Divergence Bars: The maximum distance allowed between two pivots to qualify as a divergence.
🔹 Trade Rules
Stop Loss/Take Profit ATR Multiplier: Controls the distance of exit levels based on recent volatility.
Exit on Opposite Signal: When enabled, a long trade will close immediately if a bearish divergence is detected.
🔹 Dashboard
Extra Dashboard Metric 1/2: Allows you to add two additional performance statistics to the dashboard (e.g., Z-Score or Average Trade) alongside the default metrics.
Dashboard Position/Size: Adjusts the UI elements to fit your screen resolution and preference.
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Supertrend Parameter Sensitivity 3D [LuxAlgo]The Supertrend Parameter Sensitivity 3D indicator is a powerful optimization tool that executes 100 simultaneous Supertrend backtests bar-by-bar to visualize how different ATR Lengths and Multipliers impact performance across various metrics.
By projecting this data onto a 3D surface and a heatmap dashboard, it allows traders to identify "stable" parameter zones and avoid over-optimized "peaks" that may lead to curve-fitting.
🔶 USAGE
This tool is designed to help traders find the most robust settings for the Supertrend indicator on any given timeframe or asset. Instead of manually guessing settings, users can see a holistic view of the parameter space.
🔹 3D Surface Projection
The 3D surface is rendered directly on the chart, where the X-axis represents the Multiplier, the Y-axis represents the ATR Length, and the Z-axis (height) represents the chosen performance metric.
Gold Highlight: Marks the absolute "Best" parameter combination based on the selected metric.
Blue Highlight: Marks the "Stable Area," which is the region where the average performance of a 3x3 parameter window is highest. This helps identify settings that remain profitable even if market conditions shift slightly.
🔹 Optimization Dashboard
The dashboard provides a detailed heatmap of the 100 tested combinations.
Value Distribution: An ASCII histogram at the top shows the distribution of all results, helping you understand if the "best" setting is an outlier or part of a consistent trend.
Heatmap Matrix: Displays the exact values for every combination. Hovering over any cell in the table reveals a tooltip with specific data, including the total number of trades for that combination.
Color Scaling: The colors are normalized relatively. Green represents the best results in the current set, while red represents the worst, allowing for clear visual distinction even if all results are negative or positive.
🔶 DETAILS
🔹 Bar-by-Bar Evaluation
The script manages 100 independent Supertrend states simultaneously. On every bar, it calculates the ATR and trailing stop levels for every combination in the sensitivity matrix. It simulates "Always-in-Market" trades (flipping long/short on direction changes) to track performance data without needing a separate strategy execution.
🔹 Optimization Metrics
Users can choose from 9 different metrics to optimize the 3D surface and Dashboard:
Win Rate: Percentage of trades that resulted in a profit.
Net Profit: Total gross profit minus total gross loss.
Profit Factor: Ratio of gross profit to gross loss.
Total Trades: The raw volume of signals generated.
Average Trade: The mean percentage return per trade.
Reward/Risk Ratio: The average win divided by the average loss.
Gross Profit: Total sum of all winning trades.
Total Wins: The absolute count of profitable trades.
Win/Loss Ratio: The count of wins divided by the count of losses.
🔶 SETTINGS
🔹 Main Indicator
ATR Length: The length used for the primary Supertrend line plotted on the chart.
Multiplier: The multiplier used for the primary Supertrend line plotted on the chart.
🔹 Sensitivity Ranges
Length Start: The starting ATR length for the 10x10 matrix.
Length Step: The increment added to the length for each subsequent row.
Multiplier Start: The starting Multiplier for the 10x10 matrix.
Multiplier Step: The increment added to the multiplier for each subsequent column.
🔹 Optimization
Metric: Selects the performance data used to determine the Z-height of the surface and the colors of the heatmap.
🔹 3D Surface Style
High/Low/Wire/Stable Colors: Customize the visual appearance of the 3D projection.
X/Y/Z Spacing & Scale: Adjusts the physical dimensions and height of the 3D surface on the chart.
🔹 Dashboard
Enable Dashboard: Toggles the visibility of the heatmap table.
Position/Size: Controls where the dashboard appears and how large it is on the screen.
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Session Volume Moving Average [LuxAlgo]The Session Volume Moving Average indicator is a comprehensive volume analysis tool that plots volume bars directly on a moving average, providing a unique perspective on volume activity in relation to price trends.
It features session-specific volume profiling, streak detection, and a dynamic volume delta system to visualize market participation and institutional activity.
🔶 USAGE
The script serves as a multi-dimensional volume dashboard, allowing users to see not just the amount of volume, but also where it occurs within a price trend and who (buyers or sellers) is currently in control.
🔹 Moving Average Volume Bars
Traditional volume bars at the bottom of the chart can be difficult to relate to price action. This indicator plots volume bars anchored to a customizable moving average. Each bar's height is normalized using the 95th percentile of volume over a lookback period, ensuring that extreme outliers do not squash the rest of the data, providing a clearer view of relative volume changes.
🔹 Session Delta Bar & Candle Coloring
At the top of the active session, a gradient bar displays the cumulative volume delta (Bullish vs. Bearish volume percentage).
A pointer moves across the gradient to show the current balance.
The colors transition from your Bearish color to a Neutral color (at 50%), then to your Bullish color.
Users can enable the "Color Candles By Delta" setting to apply this same gradient to the chart candles, providing an immediate visual cue of session dominance.
🔹 Volume Profile & Streaks
The indicator automatically tracks trading sessions (New York, London, Tokyo, Sydney) and provides additional context:
A Volume Profile is drawn at the end of each session to highlight high-activity price levels.
Volume Streaks are highlighted with dashed boxes when volume increases or decreases for a consecutive number of bars, signaling building momentum or exhaustion.
🔶 DETAILS
🔹 Normalization Logic
To keep the volume bars visually consistent, the script scales their height relative to the Average True Range (ATR). By using the 95th percentile for normalization, the script ignores the top 5% of extreme spikes, which typically cause standard volume indicators to look flat and unreadable.
🔹 Delta Calculation
The delta is calculated by comparing bullish volume (volume on green candles) against total volume within the specific session. The gradient sensitivity is tuned to show significant color shifts between 35% and 65% delta, making it easier to spot shifts in control before they reach extremes.
🔶 SETTINGS
🔹 Moving Average Settings
Length: The lookback period for the moving average calculation.
Type: The type of MA to use (SMA, EMA, WMA, HMA, etc.).
Source: The price source for the MA calculation.
🔹 Session Settings
Past Sessions to Show: Controls how many historical session boxes and profiles remain on the chart.
Session 1-4: Toggles for specific global trading sessions with customizable times and time zones.
🔹 Volume Bar Settings
Height Multiplier: Adjusts the vertical scale of the volume bars on the MA.
Normalization Lookback: The period used to determine the 95th percentile volume.
Consecutive Trend Bars: The number of bars required to trigger a volume streak highlight.
Significant Vol Multiplier: Filters streaks so only high-volume sequences are highlighted.
🔹 Style & Volume Profile
Color Candles By Delta: Enables/disables the gradient candle coloring based on session volume.
Show Volume Profile: Toggles the session-end volume distribution histogram.
VP Bins: Controls the granularity of the Volume Profile.
Show Session Delta Bar: Toggles the gradient meter at the top of the session.
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Peak Activity Range [LuxAlgo]The Peak Activity Range indicator is a tool that automatically identifies high-volume price zones to establish support and resistance boundaries while providing a detailed analysis of volume distribution and breakout activity. By detecting significant volume peaks, the script highlights the price action of those specific candles to create dynamic ranges that act as key market interest zones.
🔶 USAGE
The indicator identifies "Peak Activity Ranges" based on volume spikes. These ranges serve as key horizontal zones where significant market interest has occurred, often representing institutional participation.
🔹 Signal Modes
The script plots small triangles (▲/▼) to indicate potential entries based on the selected mode in the settings. To prevent false signals, the indicator uses a state-based logic that requires price to return to the solid average line to reset the signal state.
Breakout : A bullish signal is triggered when the price closes above the range high, and a bearish signal is triggered when the price closes below the range low.
Retest : A bullish signal is triggered when a candle opens below the range high but closes above it. A bearish signal is triggered when a candle opens above the range low but closes below it.
🔹 Volume Distribution
Within each identified range, a dynamic Volume Profile is generated. This profile anchors to the right side of the zone and expands leftward, representing the volume transacted at specific price levels within that specific range.
🔶 DETAILS
🔹 Volume Peak Detection
The script uses a pivot-based approach to find volume highs. When a volume peak is confirmed (after the "Pivot Length" duration), the indicator retroactively creates a range based on the high and low of the candle that generated that volume. Any signals generated during the confirmation period are recalculated to ensure accuracy.
🔹 Internal Levels
Each range contains two primary internal lines to guide the trader:
Solid Line : Represents the exact midpoint (average) of the high-volume candle's range. It acts as a "fair value" level; crossing this level resets the signal state.
Dashed Line : Represents the Point of Control (POC). This is the specific price level within the range where the highest amount of volume was transacted, calculated from the internal volume profile.
🔶 SETTINGS
🔹 General
Pivot Length : The number of bars used to confirm a volume pivot high. Larger values identify more significant, longer-term ranges.
Signal Mode : Switch between "Breakout" and "Retest" logic for triangle signals.
🔹 Volume Profile
Show Volume Profile : Toggles the visibility of the internal volume distribution bars.
Profile Rows : Determines the vertical granularity (number of price bins) of the Volume Profile.
Max Width % : Controls the maximum horizontal extension of the profile as a percentage of the range duration.
🔹 Style
Bullish/Bearish Fill : Colors for the range background and volume profile bars.
Bullish/Bearish Lines : Colors for the solid (average) and dashed (POC) lines.
Signal Colors : Custom colors for the upward and downward breakout/retest triangles.
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Signal Forge [LuxAlgo]The Signal Forge indicator is a modular technical analysis engine that allows users to blend 11 distinct technical filters into a unified signal and backtest the results in real-time. This tool aims to simplify strategy development by providing a visual framework for testing indicator confluence and risk management settings without writing code.
🔶 USAGE
The script provides a flexible logic system for generating signals based on the alignment of multiple technical components. Users can toggle specific indicators on or off and choose between "strict" mode (requiring ALL active indicators to agree) or "any" mode (where ANY active indicator can trigger a signal).
Signals are displayed on the chart as glowing orbs connected to the price action. Each signal includes a real-time historical win rate label at the moment of entry, allowing for a visual audit of the strategy's performance over time.
🔹 Indicator Selection
The tool includes 11 harmonized indicators:
SMA Crossover
RSI Filter (Levels)
MACD Crossover
Supertrend
Stochastic (Trend-based)
Bollinger Bands (Basis Filter)
EMA Crossover
Awesome Oscillator
Parabolic SAR
CCI Filter
ADX/DI Filter
🔹 Risk Management
Users can enable ATR-based Take Profit, Stop Loss, and Trailing Stop levels. When active, these levels are plotted on the chart. The Trailing Stop feature includes a specialized gradient fill that highlights the "breathing room" between the price and the exit level.
🔶 DETAILS
🔹 Dashboards
The script features two distinct dashboards to provide a comprehensive overview of the strategy:
Indicator Dashboard: Shows the real-time bullish/bearish status of all 11 indicators, their individual "standalone" win rates visualized with histograms, and their current toggle status.
Performance Dashboard: Provides a high-level summary of the combined strategy performance, including Net Profit %, Win Rate, Profit Factor, and Total Trades.
🔹 Logic Harmonization
To ensure different indicator types work together effectively, mean-reversion tools like the Stochastic and Bollinger Bands have been reconfigured to act as trend-confirmation filters. For example, the Stochastic signal is bullish when the %K is in the upper half of its range (> 50) rather than looking for oversold extremes, ensuring it aligns with trend-following components like Moving Averages.
🔶 SETTINGS
🔹 Signal Logic
Require All Enabled Indicators to Align: When enabled, every checked indicator must have the same directional bias to generate a signal.
🔹 Risk Management (ATR)
ATR Length: The period used for volatility-based exit calculations.
Take Profit/Stop Loss/Trailing Stop: Toggles and multipliers for managing trade exits.
🔹 Visuals
Orb Distance (ATR): Controls the vertical offset of signal orbs from the price candle.
Orb Base Size: Adjusts the thickness and glow intensity of the signal markers.
🔹 Dashboards
Dashboards: Enable or disable the table overlays.
Position/Size: Options to move and scale the Indicator and Performance tables to fit different screen layouts.
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ATR Exceedance Probability Model [LuxAlgo]The Volatility Exceedance Probability Model (VEPM) indicator is a comprehensive statistical tool designed to quantify the significance of volatility spikes, determine the likelihood of trend continuation, and categorize market environments into specific regimes.
🔶 USAGE
The indicator provides a multi-layered view of volatility, allowing traders to distinguish between standard market noise and statistically significant "exceedance" events.
🔹 Oscillator Interpretation
The main oscillator plots the current exceedance frequency (the rate at which price or range breaches ATR-based thresholds) against a long-term baseline.
Bullish/Significant Glow: When the Z-Score of the frequency exceeds the sensitivity threshold, the oscillator glows green, indicating a high-probability volatility expansion.
Bearish/Normal Glow: When the frequency falls below the baseline, the oscillator shifts toward red, signaling a contraction in volatility.
Frequency Delta: The area between the current frequency and baseline frequency is filled to highlight the momentum of volatility expansion or exhaustion.
🔹 Chart Visuals & Regimes
The script overlays information directly on the price action to provide context:
ATR Bands: Dynamic bands based on the Average True Range act as the "exceedance" barrier.
Regime Boxes: The indicator automatically identifies "Quiet," "Normal," and "High Vol" regimes. These are visualized as colored boxes (defaulting to High Vol) to show the duration and range of specific volatility climates.
Significance Dots: Circles appear at the top of the chart to mark bars that have breached the volatility threshold.
🔹 Dashboard Metrics
A real-time dashboard provides quantitative data:
Exceedance Freq: The percentage of bars in the short-term window that breached the ATR levels.
Serial Break Prob: The historical probability that a breach will be followed by another breach (continuation).
Clustering Edge: The statistical advantage of volatility clustering; a positive value suggests that volatility is currently feeding on itself.
🔶 DETAILS
The VEPM operates on the principle that volatility is not constant but "clusters" in time. It uses the following logic to derive its metrics:
Exceedance Detection: It calculates whether the current price range (True Range) or price levels (High/Low) exceed a user-defined ATR multiplier.
Statistical Z-Score: By comparing the current frequency of these breaches to a long-term baseline (200 bars by default), the model calculates a Z-Score to determine if the current activity is statistically "abnormal."
Continuation Probability: The model looks back at previous breaches and calculates how often they resulted in immediate follow-through, providing a "Serial Break" percentage.
🔶 SETTINGS
🔹 Core Settings
ATR Length: The lookback period used for the Average True Range calculation.
ATR Multiplier: The threshold used to define what constitutes a "breach" or exceedance.
Breach Detection Method: Choose between comparing the bar's total range to ATR or checking if price levels exceed the previous bar's bands.
🔹 Statistical Windows
Short-Term Window: The period used to calculate the current exceedance frequency.
Baseline Window: The long-term period used to establish the "normal" mean of volatility frequency.
Z-Score Sensitivity: Determines the threshold for identifying statistically significant volatility spikes.
🔹 Visuals
Show ATR Bands: Toggles the visibility of the ATR-based levels on the chart.
Bands Mode: Determines if bands are offset from a central basis (SMA/EMA) or from the bar's High/Low.
Regime Box Options: Toggles background boxes for Quiet, Normal, or High Volatility regimes.
🔹 Dashboard
Dashboard: Enables or disables the on-screen information table.
Position/Size: Controls the location and scale of the dashboard UI.
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Price*Volume Z-Score OscillatorUseful for finding statistically significant order blocks for OTM options on stocks. Used to find "informed traders".
To understand the math behind this indicator, we have to break it down into three distinct layers: the **Variable Construction**, the **Central Limit Theorem application**, and the **Z-Transformation**.
---
### 1. The Variable: Dollar Volume ( BMV:PV $)
Instead of looking at Price or Volume in isolation, we create a composite variable:
$$PV_t = P_t \times V_t$$
* **$P_t$**: The closing price at time $t$.
* **$V_t$**: The number of shares/contracts traded at time $t$.
This represents the total **nominal value** flowing through the asset. It is a more rigorous measure of market conviction than volume alone because it accounts for the capital required to move the price at that specific level.
---
### 2. The Moving Window (Rolling Statistics)
We don't compare the current BMV:PV $ to the beginning of time; we compare it to a **lookback window** ($n=20$).
#### The Arithmetic Mean ($\mu$)
We calculate the Simple Moving Average of the BMV:PV $ product:
$$\mu_{PV} = \frac{1}{n} \sum_{i=0}^{n-1} PV_{t-i}$$
This establishes the "expected" liquidity environment for the current regime.
#### The Standard Deviation ($\sigma$)
We measure the dispersion (volatility) of the BMV:PV $ product over that same window:
$$\sigma_{PV} = \sqrt{\frac{1}{n} \sum_{i=0}^{n-1} (PV_{t-i} - \mu_{PV})^2}$$
This tells us how much the "Dollar Volume" typically fluctuates. If $\sigma$ is high, the market is erratic; if $\sigma$ is low, the market is consistent.
---
### 3. The Z-Score Transformation
The Z-score is a "dimensionless" number. It strips away the dollar signs and the share counts, leaving only a pure measure of **distance in units of volatility**.
$$Z = \frac{PV_{current} - \mu_{PV}}{\sigma_{PV}}$$
* **If $Z = 0$**: The current Dollar Volume is exactly average.
* **If $Z = 1$**: The current Dollar Volume is 1 Standard Deviation above average.
* **If $Z = 4$**: The current Dollar Volume is an extreme outlier.
---
### 4. The "4 StDev" Threshold (Statistical Significance)
Why is $Z \ge 4$ significant? We use the **Empirical Rule** and **Chebyshev’s Inequality** to understand the probability:
| Z-Score | Probability (Normal Dist.) | Frequency of Occurrence |
| --- | --- | --- |
| **1.0** | 68.2% | Common |
| **2.0** | 95.4% | Significant (95th percentile) |
| **3.0** | 99.7% | Rare (The "Three-Sigma" event) |
| **4.0** | **99.993%** | **Extreme Outlier** |
In a perfectly normal distribution, a Z-score of 4 should only happen roughly **once every 15,000 bars**.
> **The Reality of "Fat Tails":** Financial data is not perfectly normal; it has "leptokurtosis" (fat tails). This means 4 StDev events happen more often than 0.01% in trading. When you see $Z > 4$, you aren't seeing random noise; you are seeing a **non-random liquidity shock**—likely institutional block trades or massive delta-hedging rebalancing.
### Why this matters for your 0DTE research:
In 0DTE options, Gamma is at its peak. A $Z > 4$ event in the underlying BMV:PV $ product suggests a sudden burst of activity that can force market makers to hedge aggressively. Since $Z$ is rolling, the "average" adapts to the day's volatility, ensuring that a "spike" in the morning is measured differently than a "spike" during the slow lunch hour.
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xLevTrading AI SMC Algo v.0.6The xLevTrading AI Smart Money Concept Indicator is a significantly expanded and independently developed institutional trading framework based on LuxAlgo’s Smart Money Concept source code. While the script builds upon established Smart Money Concept principles such as market structure, liquidity analysis, order blocks, and fair value gaps, the internal logic, filtering systems, visual prioritization, and execution tools have been heavily redesigned and extended to create a more adaptive and context-aware analytical environment.
The primary objective of this indicator is not to generate excessive signals, but to help traders better understand how price interacts with liquidity, imbalance, and structural shifts in real market conditions. Instead of treating Smart Money Concepts as isolated visual tools, the indicator combines multiple layers of analysis into a unified framework where each component contributes contextual information to the others. This allows traders to evaluate not only where price currently is, but also why certain areas may become important during future market movement.
At the core of the system is the Adaptive Market Structure Engine, which acts as the foundation for all higher-level calculations. This engine continuously evaluates swing highs, swing lows, internal structure transitions, and external break-of-structure events in order to determine directional context across changing market conditions.
Unlike simplified structure indicators that only label highs and lows, the system distinguishes between internal market behavior and broader external trend development. This distinction allows traders to identify whether price action is currently impulsive, corrective, ranging, or transitioning into a potential reversal phase.
The structure engine also serves as a contextual filter for all other modules. Order blocks, fair value gaps, liquidity sweeps, and entry confirmations are evaluated relative to active structural conditions. This prevents isolated signals from appearing without broader market confirmation and helps traders focus on areas where multiple concepts align simultaneously.
One of the major components of the framework is the enhanced Order Block Engine. Traditional Smart Money Concept implementations often display large amounts of order blocks regardless of quality or contextual relevance, which can quickly overcrowd charts and reduce clarity. In this script, the order block system was redesigned to prioritize quality, structural alignment, and reaction probability instead of quantity.
The engine analyzes several contextual variables before validating a zone, including displacement strength, mitigation behavior, structural positioning, surrounding liquidity conditions, and overall market alignment. Zones that do not meet minimum contextual requirements are filtered out in order to reduce noise and improve readability.
This process creates a cleaner chart environment where institutional-style supply and demand zones become easier to interpret. The goal is not simply to identify historical candles, but to highlight areas where market participants may still have unfilled interest or where future reactions could become more likely.
To further improve usability, the indicator introduces Dynamic Fill Technology across both order blocks and fair value gaps. Instead of displaying every zone with equal visual weight, transparency levels dynamically adapt according to the internal scoring and contextual relevance of each area.
This visual hierarchy helps traders quickly distinguish stronger zones from weaker ones without manually analyzing every individual structure. Higher-confidence zones appear more visually dominant, while weaker areas fade into the background. The intention behind this system is to transform complex structural information into an intuitive visual workflow that supports faster decision-making during live market conditions.
Another major feature is the Dual Fair Value Gap Engine. Fair value gaps represent areas where price moved aggressively, creating temporary inefficiencies in the market. These imbalances often become important reaction zones as price later revisits them in an attempt to rebalance liquidity and restore market efficiency.
The Dual FVG system was specifically developed to identify strong imbalances across both lower timeframes (LTF) and higher timeframes (HTF) simultaneously. This allows traders to observe not only short-term inefficiencies, but also broader institutional imbalances that may influence market behavior over extended periods.
One of the key advantages of this approach is the ability to identify overlapping imbalances between different timeframe structures. When lower-timeframe and higher-timeframe fair value gaps align within similar price regions, these areas can represent stronger institutional interest and potentially more precise market impulses.
This multi-timeframe imbalance framework helps traders better understand where price may accelerate, react, or seek liquidity. By combining local execution zones with broader macro inefficiencies, traders gain additional context for identifying higher-probability entries and continuation opportunities.
The Liquidity Engine represents another central pillar of the framework. Liquidity behavior is one of the most important concepts in institutional trading because price often seeks areas where stop-loss orders, breakout traders, and resting liquidity are concentrated.
Instead of relying solely on static support and resistance levels, the liquidity system actively identifies equal highs, equal lows, liquidity pools, sweep conditions, and engineered liquidity grabs in real time. These events are then evaluated relative to structure and directional context.
This allows traders to better understand potential market intent rather than simply reacting to price movement after it has already occurred. For example, a liquidity sweep occurring against higher-timeframe directional bias may indicate temporary stop-hunting behavior rather than genuine reversal strength.
The interaction between liquidity and structure becomes especially important when combined with order blocks and fair value gaps. Areas where liquidity sweeps occur directly into structurally aligned imbalance zones can often provide significantly stronger contextual setups than isolated technical signals.
To further support directional analysis, the indicator also incorporates a Multi-Timeframe Moving Average Module. This feature provides optional trend filtering and directional confirmation by allowing traders to compare lower-timeframe execution against higher-timeframe trend conditions.
The moving average framework is not intended as a standalone signal generator, but rather as an additional contextual layer that helps traders avoid counter-trend positioning during strongly directional environments. This can be particularly useful when combining liquidity sweeps with continuation structures.
One of the newest additions to the framework is the Entry Finder Module, which is currently in Beta development. The purpose of the Entry Finder is not to replace discretionary trading decisions, but to assist traders in locating areas where multiple forms of confirmation align simultaneously.
The Entry Finder analyzes the relationship between structure direction, liquidity interaction, order block positioning, fair value gap alignment, and market momentum in order to identify potential execution zones. The system attempts to detect moments where price may be transitioning from liquidity collection into directional continuation.
For example, during bullish market conditions, the Entry Finder may identify a scenario where downside liquidity is swept below recent lows before price re-enters a bullish order block or bullish fair value gap that aligns with higher-timeframe structure. In bearish environments, the same logic can apply inversely after upside liquidity has been collected.
The purpose of this process is to help traders avoid emotional momentum entries and instead focus on structurally supported retracement opportunities where institutional participation may become more probable.
The Entry Finder can also assist traders by improving timing during volatile conditions. Many traders correctly identify directional bias but struggle with execution precision. By highlighting areas where liquidity, imbalance, and structure align simultaneously, the system attempts to improve entry location and reduce unnecessary chasing behavior.
Because the Entry Finder remains in Beta, its filtering logic and confirmation models are still being refined. Current versions should be viewed as execution assistance tools rather than fully automated signal systems. Traders are encouraged to combine the Entry Finder with their own risk management and market interpretation.
In addition to its analytical capabilities, the overall design philosophy of the indicator focuses heavily on chart readability and workflow efficiency. One of the common challenges with Smart Money Concept tools is visual overload caused by excessive labels, overlapping zones, and unnecessary calculations appearing simultaneously.
This framework was designed to reduce that issue through selective filtering, contextual prioritization, and dynamic visual weighting. Rather than attempting to display every possible technical event, the indicator focuses on highlighting areas where multiple concepts converge.
The result is a cleaner trading environment that allows users to focus more effectively on liquidity behavior, structural shifts, and execution planning without becoming overwhelmed by chart clutter.
The xLevTrading AI Smart Money Concept Indicator should be viewed as a professional-grade analytical framework designed for discretionary traders who want a deeper understanding of institutional price behavior. By combining enhanced Smart Money Concept principles with proprietary filtering systems, dynamic visualization methods, liquidity analysis, and multi-timeframe contextual alignment, the script aims to transform complex market behavior into a more structured and actionable decision-making process.
This indicator does not guarantee profitable trades and should not be interpreted as financial advice. It is intended as a decision-support and market-structure analysis tool that assists traders in interpreting price action, identifying contextual confluence, and improving overall market awareness across different trading environments.
Chart Visualization & Color Structure
To improve chart readability and help traders quickly distinguish between different market concepts, the indicator uses a structured color hierarchy across all major components. The visual system was intentionally designed to reduce confusion during live analysis and to make the interaction between liquidity, structure, order blocks, and fair value gaps easier to interpret.
Bearish higher-timeframe order blocks are displayed in purple. These zones represent institutional-style supply areas that align with broader bearish market structure and may act as potential reaction or continuation zones during retracements.
Bearish higher-timeframe fair value gaps (HTF FVGs) are displayed in orange. These imbalance zones represent aggressive bearish displacement on higher timeframes and are intended to highlight areas where price inefficiencies may still attract future reactions or rebalancing behavior.
Bearish chart timeframe fair value gaps are displayed in red. These zones reflect local bearish imbalances directly on the active chart timeframe and are primarily used for short-term execution analysis and momentum continuation setups.
Bullish chart timeframe fair value gaps are displayed in green. These indicate local bullish inefficiencies where price moved aggressively to the upside, potentially leaving behind imbalance zones that may later provide support during retracements.
Bullish higher-timeframe fair value gaps are displayed in turquoise. These zones represent larger bullish imbalances from higher timeframe price action and are intended to provide macro directional context and stronger institutional reaction areas.
The interaction between these colors and zones is an important part of the overall framework. Traders can use overlapping higher-timeframe and lower-timeframe imbalances to identify areas where multiple forms of market inefficiency align simultaneously. For example, when a lower-timeframe bullish fair value gap develops inside a higher-timeframe bullish imbalance zone, this may indicate stronger continuation potential and improved structural confluence.
The chart layout shown in the publication intentionally focuses only on the indicator’s own analytical components without unnecessary overlays or unrelated tools. This cleaner presentation is designed to help traders clearly identify how the different modules interact with one another in real market conditions.
Labels such as Break of Structure (BOS), Change of Character (CHoCH), liquidity sweeps, moving averages, order blocks, and fair value gaps are displayed directly within their relevant market context to support visual interpretation and execution planning.
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Historical Liquidity Proximity Heatmap [LuxAlgo]The Historical Liquidity Proximity Heatmap indicator highlights historical swing levels closest to the current price, using a volumetric heatmap to visualize potential areas of support and resistance.
One buy-side and sell-side volume-weighted average is also returned to provide clear breakout indications.
🔶 USAGE
This tool is designed to identify where significant liquidity resides by tracking historical pivot points and sorting them based on their proximity to the current price. By focusing on levels nearest to the market, traders can see a real-time "map" of potential structural obstacles or targets.
🔹 Identifying Liquidity Clusters
The indicator plots dots representing the nearest historical pivot highs (above price) and pivot lows (below price). When multiple dots are tightly packed together, it indicates a significant liquidity zone where historical price action was concentrated. The color of these dots is determined by the volume recorded at the time the pivot was formed:
High-Contrast Colors: Represent pivots formed on high volume, suggesting stronger institutional interest or "heavier" liquidity. Low-Contrast Colors: Represent pivots formed on lower volume, which may represent lighter liquidity zones.
🔹 Level Tests and Sweeps
Traders can monitor how price reacts as it approaches the nearest dots. If price touches a dot and immediately rejects, it confirms the historical level as active resistance or support. A "Liquidity sweep" occurs when price moves rapidly through one or more dots, clearing the nearest historical structures before a potential reversal or continuation.
🔹 Breakouts and Volumetric Averages
The indicator includes two dashed lines representing the Volume-Weighted Swing Average of the displayed liquidity points.
Volume-Weighted Highs: A dotted red line representing the average price of the nearest P pivot highs, weighted by their historical volume. Volume-Weighted Lows: A dotted green line representing the average price of the nearest P pivot lows, weighted by their historical volume.
A breakout above or below these Volumetric Averages suggests that the market has cleared the weighted "supply" or "demand" of the immediate vicinity, often leading to increased volatility.
🔶 DETAILS
The script maintains a historical buffer of pivots. On every bar, the script filters all stored pivots to identify those currently above the price (highs) and those currently below the price (lows).
These filtered levels are then sorted by price distance. The top P closest levels are selected for display. This ensures that the heatmap always focuses on the most relevant price levels regardless of how far the market has moved from older structures.
The color themes (Viridis, Magma, etc.) are perceptually uniform, meaning the transition from low-volume colors to high-volume colors is mathematically linear to the human eye, making it easier to gauge relative "liquidity weight" at a glance.
🔶 SETTINGS
🔹 Pivots
Pivot Left/Right Length: Determines the sensitivity of the pivot detection. Larger values find more significant structural swings, while smaller values find more frequent, minor levels. Historical Buffer Size: Controls how many historical pivots the script stores in memory. A larger buffer allows the script to track older historical levels.
🔹 Display
Number of Points (P): Sets the maximum number of closest levels to display and include in the Volumetric Average calculation. Dot Transparency: Adjusts the visibility of the heatmap dots on the chart. Color Theme: Allows selection between different heatmap palettes (Viridis, Inferno, Magma, Plasma, Cividis, Turbo) to represent volume intensity.
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Order Flow VWAP Deviation [LuxAlgo]The Order Flow VWAP Deviation indicator provides a comprehensive toolkit for analyzing market structure through volume-weighted price levels, liquidity zones, and order flow imbalances.
It combines classic VWAP standard deviation bands with dynamic stop-run detection and localized volume profiles to identify high-probability reversal and expansion zones.
🔶 USAGE
The tool is designed for intraday and swing traders who focus on liquidity "sweeps" and mean reversion. By plotting significant pivot highs and lows (Stop Zones) alongside VWAP bands, the indicator highlights areas where institutional liquidity is likely resting.
When price pierces these zones on high volume, the script flags a potential stop-run, signaling that a trend exhaustion or reversal may be imminent.
🔹 Stop Zones and Liquidity
The script tracks historical pivot points and extends them as dashed lines. When price crosses these lines with a volume surge (defined by the Stop Zone Volume Multiplier), it indicates that resting orders have been triggered.
These events are marked with circles on the chart to alert the trader to a shift in order flow.
🔹 Anchor Volume Profile
A specialized Volume Profile anchors to a specific time range (e.g., New York Open). This profile appears on the right side of the chart, highlighting the Point of Control (POC) in yellow and high-volume "Stop Nodes" in orange.
Each significant node displays a volume multiplier (e.g., 2.5x) and a buyer/seller bias (B/S) to show which side of the market is dominant at that price level.
🔹 Inversion Fair Value Gaps (IFVGs)
The indicator can optionally track Fair Value Gaps that have been "inverted." An IFVG occurs when a bearish gap is closed above or a bullish gap is closed below.
These act as refreshed support or resistance levels and are visualized as boxes on the chart until they are mitigated by price action.
🔶 DETAILS
The script utilizes a proxy for delta volume, calculating the bias based on the relationship between the close and the high/low of each bar within the profile calculation.
The Stop Zone logic uses a lookback period to ensure only significant structural pivots are considered, preventing chart clutter while focusing on major liquidity pools.
🔶 SETTINGS
VWAP Anchor: Determines the period for VWAP calculation (Session, Week, Month, or Year). Std. Dev Multiplier: Sets the distance for the upper and lower deviation bands. Pivot Lookback: The number of bars used to identify significant highs and lows for stop zones. Max Active Lines: Limits the number of horizontal liquidity levels displayed on the chart. Profile Rows: Adjusts the vertical granularity of the anchored Volume Profile. Anchor Time Range: Specifies the exact time (HHMM) used to start the volume collection for the profile. Stop Zone Volume Multiplier: Defines the threshold relative to average volume required to highlight a "Stop Node" in the profile. Show IFVGs: Toggles the visibility of Inversion Fair Value Gaps. IFVG Volatility Filter: A multiplier used to ensure only gaps formed by significant price moves are tracked.
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