EVA Ai+ Radar v25.2 Screener - Crypto & Stock LONG SHORT Si🧬 EVA Ai+ Radar — профессиональный рыночный скринер и индикатор для PulseWire, созданный для быстрого поиска перспективных торговых инструментов среди российских акций и популярных криптовалют.
Система одновременно анализирует до 20 активов, рассчитывает приоритет каждого инструмента и автоматически сортирует рынок по силе текущего движения. Вместо ручного переключения между графиками трейдер получает компактную премиальную панель с готовым рейтингом активов.
🔎 Что анализирует EVA Ai+ Radar
Для каждого инструмента рассчитываются:
направление краткосрочного и среднесрочного тренда;
положение цены относительно EMA;
сила тренда через ADX и DMI;
состояние RSI;
относительный торговый объём;
направленный рыночный поток Flow;
изменение цены;
итоговая сила и приоритет сигнала.
📊 Сигналы скринера
🟢 LONG — подтверждённое преимущество покупателей и восходящее направление.
🔴 SHORT — подтверждённое преимущество продавцов и нисходящее направление.
🟡 РАНО ↑ / РАНО ↓ — раннее формирование движения до достижения строгого порога основного сигнала.
⚪ НАБЛ. — инструмент пока не имеет достаточного преимущества для подтверждённого входа.
⚡ Два режима работы
RADAR — строгий режим для поиска подтверждённых сигналов LONG и SHORT.
РАНО — расширенный режим, дополнительно показывающий инструменты, в которых движение только начинает формироваться.
🛡️ Защита от перерисовки
По умолчанию скринер использует данные только закрытых свечей выбранного таймфрейма:
без lookahead_on;
без смещения сигналов в прошлое;
без перерисовки подтверждённых значений;
с безопасной обработкой недоступных торговых инструментов
🌍 Поддерживаемые рынки
🇷🇺 Российские акции Московской биржи:
Сбербанк;
Газпром;
Лукойл;
Роснефть;
Новатэк;
Норникель;
Полюс;
Татнефть;
ВТБ;
Яндекс.
₿ Криптовалюты:
Bitcoin;
Ethereum;
Solana;
BNB;
XRP;
Dogecoin;
Cardano;
Avalanche;
Chainlink;
Toncoin.
Все тикеры можно изменить в настройках индикатора.
⚙️ Основные возможности
✅ Скринер акций и криптовалют
✅ Одновременный анализ 20 инструментов
✅ Торговые сигналы LONG и SHORT
✅ Раннее обнаружение движения
✅ Автоматический рейтинг активов
✅ Анализ тренда, объёма, RSI, ADX и DMI
✅ Относительный объём и Flow
✅ Индикатор без перерисовки
✅ Настраиваемый таймфрейм
✅ Алерты PulseWire
✅ Премиальный интерфейс EVA
✅ Безопасная обработка недоступных тикеров
⚠️ Важная информация
EVA Ai+ Radar является аналитическим инструментом и не представляет собой инвестиционную рекомендацию. Сигналы индикатора необходимо оценивать совместно с рыночным контекстом, управлением капиталом и контролем риска.
🧬 EVA Ai+ Radar is a professional PulseWire market scanner designed to help traders quickly identify strong opportunities across major cryptocurrencies and Russian stocks.
The screener analyzes up to 20 markets simultaneously, calculates a priority score for every symbol, and automatically ranks instruments according to current trend strength and market momentum. Instead of manually switching between multiple charts, traders receive a compact premium dashboard with a structured market overview.
🔎 What EVA Ai+ Radar analyzes
For every selected symbol, the system evaluates:
short-term and medium-term trend direction;
price position relative to exponential moving averages;
trend strength using ADX and DMI;
RSI momentum;
relative trading volume;
directional market Flow;
price change;
final signal strength and priority score.
📊 Screener signals
🟢 LONG — confirmed bullish advantage and positive market direction.
🔴 SHORT — confirmed bearish advantage and negative market direction.
🟡 EARLY ↑ / EARLY ↓ — an emerging directional setup detected before the strict signal threshold is reached.
⚪ WATCH — the asset does not currently have enough directional advantage for a confirmed signal.
⚡ Two scanning modes
RADAR — strict mode designed to identify confirmed LONG and SHORT signals.
EARLY — expanded mode that also identifies assets where a new directional move may be starting.
🛡️ Non-repainting calculation
By default, the screener uses confirmed data from closed candles on the selected timeframe:
no lookahead_on;
no historical signal backfilling;
no repainting of confirmed values;
safe processing of unavailable or unsupported symbols.
If one selected ticker is temporarily unavailable, the remaining markets continue to be calculated normally.
💎 Premium EVA dashboard
The dashboard displays:
market ranking;
symbol;
LONG, SHORT, or EARLY signal;
signal strength;
percentage price change;
RSI and relative volume;
directional Flow;
number of active LONG, SHORT, and EARLY signals;
selected timeframe and calculation mode.
The visible list can be adjusted from 5 to 20 rows, while all enabled markets continue to be analyzed.
🔔 PulseWire alerts
The screener includes three alert conditions:
confirmed LONG signal detected;
confirmed SHORT signal detected;
EARLY directional setup detected.
Alerts can be configured using the standard PulseWire alert system.
🌍 Supported markets
🇷🇺 Russian stocks:
Sberbank;
Gazprom;
Lukoil;
Rosneft;
Novatek;
Norilsk Nickel;
Polyus;
Tatneft;
VTB;
Yandex.
₿ Cryptocurrencies:
Bitcoin;
Ethereum;
Solana;
BNB;
XRP;
Dogecoin;
Cardano;
Avalanche;
Chainlink;
Toncoin.
Every symbol can be changed through the indicator settings.
⚙️ Main features
✅ PulseWire stock and crypto screener
✅ Simultaneous analysis of 20 symbols
✅ LONG and SHORT trading signals
✅ Early trend detection
✅ Automatic market ranking
✅ Trend, volume, RSI, ADX, and DMI analysis
✅ Relative volume and directional Flow
✅ Non-repainting indicator
✅ Custom scanning timeframe
✅ PulseWire alerts
✅ Premium EVA interface
✅ Safe invalid-symbol handling
⚠️ Disclaimer
EVA Ai+ Radar is an analytical and educational tool. It does not provide financial or investment advice. Every signal should be evaluated together with market context, position sizing, risk management, and independent analysis. Indicator
Pymander's Epiphany# Pymander’s Epiphany
Pymander’s Epiphany is a powerful range-to-expansion trading indicator built to help retail traders find, evaluate, and manage quality breakout opportunities.
Instead of printing an arrow whenever price crosses a level, Epiphany follows the full life cycle of a setup:
**Range formation → validation → breakout → confirmation → continuation**
The indicator features three range-detection modes, adjustable range preferences, early breakout warnings, confirmed signals, and a dedicated continuation engine for catching secondary entries after the initial move.
Every breakout receives a transparent strength score based on:
* Closing strength
* Candle-body dominance
* Range expansion
* Volume expansion
* Breakout distance
Signals are graded from C to A+, making it easy to separate ordinary price breaks from moves showing stronger conviction and participation.
Optional EMA and VWAP filters help confirm market direction and identify flat or conflicting conditions. For traders who prefer fewer, more selective signals, Elite Mode applies stricter structure, alignment, and signal-quality requirements.
Epiphany can also automatically display the entry, stop, and 1R target using several stop methods, including ATR, recent swing, opposite side of the range, and breakout candle.
The live dashboard shows the current range state, directional bias, range quality, strength score, signal grade, EMA/VWAP alignment, and continuation status. Detailed alerts can notify traders of early warnings, confirmed breakouts, continuations, and changing range conditions.
What makes Epiphany special is how all these features work together. It isn’t just another breakout indicator—it’s a complete decision-support system designed to give retail traders more structure, context, and confidence.
No indicator can predict every move, so always use proper risk management and test the settings for your preferred market and timeframe.
Best of luck, stay disciplined, and trade well!
— **Pymander**
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SXA: Super Xtation Amplitude | MTF FrameworkSXA (Super Xtation Amplitude) is a multi-timeframe market positioning framework designed to provide a complete visual overview of price location within the broader market structure.
Rather than focusing on entry signals, SXA combines trend context, volatility, session activity, anchored VWAPs, prior-day reference levels, Fibonacci projections, and higher-timeframe moving averages into a single environment. The objective is to help traders understand where price is currently trading relative to statistically and structurally significant areas.
The indicator was built around a simple principle:
"Price behaves differently depending on where it is located within the market."
By integrating multiple forms of context into one view, SXA allows traders to quickly identify premium and discount zones, trend alignment, session-driven liquidity areas, and potential reaction levels without switching between multiple indicators.
FEATURES
• Smart Trend Engine
Multi-timeframe moving average framework designed to visualize short, intermediate, and macro directional bias.
• Dynamic Trend Clouds
Visual cloud structures help identify trend alignment and potential transition zones between bullish and bearish conditions.
• Higher Timeframe Context
Daily 50 SMA and 200 SMA provide broader market structure and long-term directional references.
• Prior Day Reference Levels
Automatic plotting of previous day's Open, High, Low, and Close.
• Fibonacci Expansion Grid
Extended Fibonacci projections derived from the previous day's range to identify potential reaction zones and liquidity targets.
• Anchored Session VWAPs
Includes:
* Daily VWAP
* European Session VWAP
* Pre-New York VWAP
* New York Session VWAP
* Post-European Session VWAP
These levels provide institutional-style references for price acceptance and value.
• Weekly Structure Levels
Dynamic weekly Open, High, and Low levels update in real time throughout the trading week.
• Session Mapping
Visual session boxes highlight important market periods, including the Asian session and Pre-New York range.
INTENDED USE
SXA is designed as a contextual decision-support tool rather than a standalone trading system.
The indicator can be used to:
* Assess overall market positioning.
* Identify trend alignment across multiple timeframes.
* Locate potential support and resistance zones.
* Track session-driven liquidity.
* Monitor volatility expansion and contraction.
* Build discretionary trade narratives.
* Enhance existing trading systems.
SXA does not generate buy or sell recommendations. Instead, it seeks to answer a more fundamental question:
"Where is price currently located within the broader market landscape?"
By providing that context at a glance, traders can make more informed decisions while reducing chart clutter and indicator overload.
Created by @Peter_n_n
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Ribbon Conviction SystemRibbon Conviction System — Trend, Flow, Value and Adaptive Stop
Overview
This is a single decision-support system for intraday traders. It answers three questions on one chart: which way is the trend, how much conviction is behind the current move, and where a logical trailing stop sits. A moving-average ribbon defines direction, a conviction score from 0 to 100% grades every signal, and an adaptive volatility stop marks risk. The components are designed to work together as one filtered signal, not as a loose collection of separate indicators.
Why these components are combined
A moving-average crossover on its own fires constantly in sideways markets and gives no sense of whether a cross is meaningful. Each part added here exists to fix a specific weakness of the part before it, so the result is one filtered signal rather than several indicators stacked on a chart.
Ribbon (direction). Five Fibonacci-length averages — 8, 13, 21, 34, 55 — using a mix of Hull, EMA and Kaufman Adaptive Moving Average (KAMA). The KAMA anchors deliberately flatten in choppy conditions, so the ribbon stops giving direction when there is no trend. Weakness it leaves open: a crossover can still fire on a weak, low-conviction move.
Conviction score (filter). Instead of taking every crossover, each signal is graded 0–100% by blending four independent readings of the same bar, chosen because they measure different things rather than repeat each other:
Buy/sell flow — net buying versus selling pressure, inferred from lower-timeframe price-and-volume behaviour.
Effort vs move — how far price travelled for the volume spent; absorption and churn are penalised.
Trend quality — Kaufman Efficiency Ratio: directional travel divided by total path, separating trend from noise.
Price location — is price on the right side of value? Blends session VWAP slope, a swing-anchored VWAP, the session volume-profile value area (VAH/VAL/POC), and the prior session's VWAP and unfilled POC.
A flow-toxicity proxy (VPIN-style) then lowers the score when flow looks one-sided and unstable. Weakness it leaves open: all four readings come from the chart timeframe, so they can agree for the wrong reason.
Higher-timeframe agreement (independent confirmation). The same volatility-stop direction is computed on 3×, 5× and 15× the chart timeframe and folded in as a multiplier, not a fifth blended input. It is kept separate precisely because it is the one genuinely independent check on the chart-timeframe score: full agreement raises conviction, disagreement lowers it.
Adaptive volatility stop (risk). A Chande-style volatility stop whose ATR period and multiplier adapt through the Efficiency Ratio, so the stop tightens in clean trends and widens in chop. This turns the tool from "where is the signal" into "where is my risk if I take it."
How they work together
Direction (ribbon) decides the side. The conviction score decides whether a crossover on that side is worth showing and how strongly. Higher-timeframe agreement scales that conviction up or down. The adaptive stop shows the exit reference. Every signal is the product of all four stages working in sequence.
What it plots
The five-average ribbon with shaded bands; the 55 line is the bold trend-reference band.
Signal badges at qualifying crossovers, labelled with the band crossed and the conviction percent (for example "21 65%").
Optional value references: session VWAP, swing-anchored VWAP with bands, volume-profile VAH/VAL/POC, and the prior session's VWAP and POC.
The adaptive volatility stop as a step line with a live distance label.
A compact dashboard summarising trend, conviction and each component, higher-timeframe agreement, the stop, and the data mode.
A small higher-timeframe agreement ribbon.
How to use
Add it to an intraday chart. The defaults suit index futures, but direction works on any symbol.
Spot vs futures: many spot indices publish no real volume, which the flow, value-area and toxicity parts depend on. Under "Data source" the script auto-detects this and switches the volume-based parts to a time-at-price method so everything still works; you can also set the mode manually. The dashboard "Data" row shows which mode is active.
Trade in the ribbon's direction. Prefer signals with a higher conviction percent and higher-timeframe agreement, and treat low-conviction crosses as noise. Use "Hide signals weaker than" to suppress them.
Use the adaptive stop as a trailing-risk reference, sized to your own plan.
The "Look & size" group controls signal size, dashboard size and position, a "Minimal" preset (ribbon + signals + stop only), and band lightness.
Originality
The individual techniques — adaptive moving averages, the Efficiency Ratio, effort-versus-result, VWAP, volume profile and volatility stops — are publicly documented. What is original here is the integration: a single conviction score that fuses chart-timeframe flow, effort, efficiency and value, damps it by flow toxicity, and scales it by independent higher-timeframe agreement, then gates an adaptive-stop-aware signal on that score. The components were selected so each covers a distinct weakness, and redundant filters were deliberately left out to keep one clear signal.
Credits
Perry Kaufman — Adaptive Moving Average and Efficiency Ratio. Tushar Chande — Volatility Stop concept. The effort-versus-result component is an original, compact reimplementation inspired by the publicly described effort-versus-result method from the volume-spread-analysis lineage.
Disclaimer
This script is for education and information only. It is not financial, investment or trading advice and does not guarantee any outcome. Signals describe current conditions; they do not predict the future. Markets carry substantial risk of loss. Volume-based readings depend on the data feed and are unreliable on instruments without real volume. Always test on your own market and timeframe, and manage risk with your own stops and position sizing. The author is not a licensed financial advisor; consult a qualified professional before making financial decisions. You are solely responsible for your own trading decisions. Indicator
Mean Reversion Pro 📊 Mean Reversion Pro — Data-Driven Edge on Any Market, Any Timeframe
Most mean reversion indicators tell you the price is "too far" from the moving average. This one tells you exactly how far is statistically worth trading — using your own chart's historical data as proof.
Works on all instruments and timeframes: futures (NQ, ES, CL, GC…), crypto (BTC, ETH, SOL…), forex (EUR/USD, GBP/USD…), indices (SPX, DAX, NASDAQ…), stocks, commodities — anything with a price and volume.
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🔍 WHAT THIS INDICATOR DOES
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Mean Reversion Pro silently analyses every historical instance where price deviated from a moving average by a given distance. For each of 15 tested threshold levels it computes:
• Win rate — % of times price returned to the MA within the timeout
• Expectancy — (win-rate × avg MFE) − (loss-rate × avg MAE)
• Profit Factor — gross gain / gross loss ratio
• Avg MAE — average adverse excursion (how far against you before reverting)
• Avg MFE — average favourable excursion (how far in your favour)
• Avg return time — average bars needed to reach the MA
It then automatically selects the threshold with the highest expectancy that also satisfies your minimum win-rate and minimum occurrences filters — and only then shows a signal. No manual optimisation. No curve-fitting.
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⚙️ KEY FEATURES
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✅ Universal — works on futures, crypto, forex, indices, stocks, commodities
✅ 3 threshold modes: fixed Points, ATR multiples, Z-Score (adapts to any volatility regime)
✅ 5 MA types: EMA, SMA, WMA, VWMA, Hull MA
✅ Auto-optimised threshold — the indicator finds the best level by itself
✅ Real-time dashboard: win-rate, expectancy, profit factor, MAE, MFE, return time (Long & Short)
✅ Dynamic bands: 1× and 1.5× optimal threshold zones drawn on the chart
✅ Non-repainting signals — only fires on confirmed, closed bars
✅ Optional filters: trend (EMA 50), volume, US session, minimum ATR
✅ Minimum history guard — signals are held until enough bars have been analysed
✅ All parameters fully exposed and documented with tooltips
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📈 WHO IS THIS FOR
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• Futures traders — NQ, MNQ, ES, MES, CL, GC, SI, ZB…
• Crypto traders — BTC, ETH, SOL and all altcoins on any exchange
• Forex traders — all major, minor and exotic pairs
• Index traders — SPX, NDX, DAX, FTSE, CAC, Nikkei…
• Stock traders and swing traders looking for mean reversion pullbacks
• Prop firm traders who need a systematic, rules-based edge
• Any trader tired of arbitrary support/resistance levels with no statistical backing
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🧠 HOW TO USE IT
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1. Apply to any chart on any timeframe
2. Let at least 500 bars load (recommended: 1000–2000 for robust statistics)
3. Choose Threshold Mode:
— Points → best for futures and indices (fixed price distances)
— ATR → best for crypto and forex (volatility-adjusted)
— Z-Score → best for statistical/quant approaches
4. Set your minimum Win Rate (default 65%) and minimum Occurrences (default 15)
5. A signal appears only when all statistical conditions are met AND your filters pass
6. Read the dashboard to assess setup quality before entering a trade
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💡 WHY EXPECTANCY MATTERS MORE THAN WIN RATE
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A strategy with 80% win rate can still lose money if the average loss is 5× the average win. Mean Reversion Pro uses expectancy — the only metric that combines win rate, average gain and average loss into a single number — as its selection criterion. A signal only appears when the math is in your favour.
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⚠️ DISCLAIMER
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This indicator is a decision-support tool only. It does not provide financial advice and does not guarantee future results. Past statistical performance is not indicative of future performance. Always use proper risk management. Indicator
SK AI + HD + EQH/EQL Scoring v6.5 CVD SK AI + HD + EQH/EQL Scoring v6.5 CVD
ist ein fortgeschrittener Multi-Faktor PulseWire-Indikator für Crypto-Scalping und Intraday-Trading. Das Script kombiniert AI-Trendlogik, adaptive SuperTrend-/LuxAlgo-ähnliche Trailing-Systeme, EQH/EQL-Liquidity Sweeps, Liquidity-Delta-Reversal-Erkennung, CVD-/Moneyflow-Analyse sowie VWAP-, POC-, Fibonacci- und MTF-Trendfilter zu einem gewichteten Scoring-System.
Hauptfunktionen:
AI Neural Trend Engine als primärer Trendfilter
Adaptiver HD/Lux SuperTrend mit Volatilitätsanpassung
EQH/EQL Liquidity Sweep & Reversal Detection
Liquidity Delta Profiler mit Rejection-, Divergence-, Absorption- und Exhaustion-Erkennung
Spot-/Futures-CVD und Moneyflow-Analyse
Multi-Timeframe EMA- und ADX-Bias
VWAP-, POC- und Fibonacci-Konfluenz-Scoring
Dynamisches Score-System für Long-/Short-Signale
Signalqualitäten: WEAK / GOOD / STRONG
Integriertes Risiko-Management mit:
Entry
Stop Loss
Break-Even
TP1 / TP2
Kapitalrisiko %
Dashboard mit Live-Marktstatus und Signalbewertung
Alert-System für PulseWire/WunderTrading-Webhooks
Das Script ist darauf ausgelegt, Fehlsignale durch Konfluenz mehrerer Marktstrukturen und Orderflow-/Liquidity-Faktoren zu reduzieren und qualitativ hochwertige Long-/Short-Setups visuell und automatisiert bereitzustellen. Indicator
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Gaussian Channel System [GCS]## DESCRIPTION
Gaussian Ribbon Engine (GRE) is a multi-layer trend analysis system built on the Arnaud Legoux Moving Average (ALMA), which applies a Gaussian (bell curve) weighting function to price data instead of the linear or exponential weights used by traditional moving averages.
**Mathematical Foundation**
ALMA uses a Gaussian kernel — the same bell-curve distribution found in statistics and physics — to weight the prices in its lookback window. The Gaussian function is parameterized by two values: offset (which shifts the bell curve left or right, controlling responsiveness vs. smoothness) and sigma (which controls the width of the bell curve, determining how sharply weights decay from the center). The formula applies: w(i) = exp(-((i - offset * (N-1))^2) / (2 * sigma^2 * N^2)), where each price bar receives a weight according to its position on the Gaussian curve. This produces a moving average with mathematically optimal noise filtering properties.
GRE constructs five ALMA layers with increasing periods (default 9, 21, 55, 100, 200), creating a visual ribbon. When all five layers align in order (fastest on top for bullish, fastest on bottom for bearish), the market is in full directional agreement. The spread between the outermost layers, measured as a percentage and compared to its own historical average, identifies squeeze (convergence) and expansion (divergence) conditions.
**9-Point Confluence Scoring**
The scoring matrix evaluates: price vs. Layer 1, Layer 1 vs. 2, Layer 2 vs. 3, Layer 3 vs. 4, Layer 4 vs. 5 alignment, Layer 1 slope direction, Layer 3 slope direction, RSI above/below 50, and DI+/DI- directional movement. Signals fire when the score crosses the configurable threshold with ADX confirmation.
**Features**
- Five-layer ALMA ribbon with Gaussian kernel weighting
- Adjustable offset (0-1) and sigma parameters for fine-tuning the Gaussian bell shape
- Ribbon spread analysis with squeeze and expansion detection
- 9-point confluence scoring with visual dot notation in dashboard
- ATR-based dual take-profit levels (TP1 and TP2)
- Squeeze breakout signals when ribbon compresses then expands
- ADX and volume confirmation filters
- Full color-coded dashboard with regime classification
- Multiple alert conditions
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AlphaEngine █ ALPHAENGINE v1.0
The Adaptive Consensus Trading Algorithm
Self-optimizing signal engine that runs 6 independent "Expert" sub-systems simultaneously, tracks their real-time accuracy, and dynamically adjusts their influence using an Adaptive Consensus algorithm inspired by the Multiplicative Weight Update method. The result: an indicator that learns which strategies work best in the current market — and automatically amplifies them while suppressing underperformers. All in real-time, on every single bar.
Free and Open Source.
█ THE 6 EXPERTS
1. Trend Expert
Triple EMA alignment (Fast/Mid/Slow) combined with ADX trend strength. Detects directional bias and amplifies signals when the trend is strong.
2. Momentum Expert
Blends RSI zone analysis (40%), Stochastic crossover (30%), and Rate-of-Change velocity (30%) into a single momentum score. Catches acceleration and deceleration in price moves.
3. Volume Expert
On-Balance Volume trend direction combined with real-time volume spike detection. Confirms signals with institutional participation. Volume must agree with price direction for full score.
4. Volatility Expert
Bollinger Band position mapping combined with ATR expansion/contraction analysis. Includes Squeeze Detection that alerts before major breakout moves.
5. Supertrend Expert
ATR-based dynamic support/resistance with distance scaling. Stronger signals when price is firmly above/below the supertrend line.
6. Structure Expert
Higher-timeframe EMA bias using auto-selected HTF (e.g., 1H chart checks 4H, 5m chart checks 1H). Ensures signals align with the macro trend.
█ THE ADAPTIVE WEIGHTING ENGINE
Unlike traditional indicators that treat all components equally, AlphaEngine tracks which experts are actually performing well in the current market conditions:
Each expert's predictions are validated against real price movement
A rolling accuracy score (exponential decay) measures recent performance
Weights are computed as accuracy squared — creating clear differentiation
Experts with high accuracy get amplified, poor performers get dampened
The engine adapts to any market environment automatically
In a strong trending market, the Trend and Supertrend experts naturally gain weight. In a ranging/choppy market, Momentum and Volume experts take over. The engine adapts automatically.
█ SIGNAL GRADING: A/B/C
A-Grade (75%+ consensus) — High quality. Strong agreement among key experts.
B-Grade (60%+ consensus) — Standard. Moderate agreement. Use with additional confirmation.
C-Grade (50%+ consensus) — Weak. Minimal consensus. For analysis only. Filterable via settings.
Signal labels are visual: A-grade signals are larger and prominent. B/C are smaller and subtle. A minimum grade filter lets you hide weaker signals.
█ RISK MANAGEMENT
Take Profit + Stop Loss:
TP1 — ATR-based take profit target with visual line and hit detection
SL — Dynamic ATR-based stop loss, adapts to current volatility
Visual checkmark when TP1 is reached, X marker when SL triggers. Both levels are always proportional to market conditions — never fixed distances.
█ VISUAL FEATURES
Smart Candle Coloring — 6-level gradient from deep green to deep red based on consensus strength
Trend Background — Subtle gradient overlay showing macro direction
Volatility Bands — Dynamic Bollinger-based bands with squeeze highlight
Squeeze Detection — Diamond dots below price when volatility contracts
Supertrend Line — Color-coded dynamic support/resistance
EMA Lines — Optional Fast/Mid/Slow EMA visualization
█ DASHBOARD
Compact 10-row real-time analytics panel: Current signal + grade + consensus %, visual consensus bar, each expert's direction + rolling accuracy %, and volatility state (Squeeze/Expand/Contract/Normal).
█ ALERTS (7 CONDITIONS)
Signal: Buy/Sell, A-Grade Buy/Sell
Risk: TP1 Hit, SL Hit
Volatility: Squeeze Start
█ PRO VERSION
The PRO version adds:
VWAP Expert — 7th expert for institutional fair-value bias with timeframe auto-scaling
Trading Style Presets — Auto/Scalping/Intraday/Swing/Position/Custom with automatic parameter tuning
Asset Auto-Optimization — Crypto/Forex/Stocks/Futures multipliers for volatility and volume sensitivity
RSI Divergence Detection — Regular + Hidden divergences with visual labels and connecting lines
S-Grade Signals — Elite setup grade (90%+ consensus) for highest probability entries
Multi-Target TP — TP1/TP2/TP3 system with sequential hit detection and R:R ratio display
Premium Dashboard — 17-row analytics panel with all expert weights, divergence status, and TP tracking
17 Alert Conditions — Including divergence alerts, squeeze breakout, trend flip, and grade-specific triggers
█ NON-REPAINTING
All calculations use standard non-repainting indicators (EMA, RSI, ADX, ATR, OBV, Stochastic, Bollinger Bands). Multi-timeframe data uses confirmed prior-bar values. No repainting.
█ WORKS ON
Crypto, Forex, Stocks, Futures, Indices, Commodities and Bonds — any timeframe from 1 second to Monthly.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. No indicator can predict market movements with certainty. Always implement proper risk management. Use this tool as one component of a comprehensive trading strategy, not as a standalone decision-making system.
Indicator
Machine Learning Supertrend [Aslan]Hey everyone 👋, This is an indicator I've been working on for a long time. Its not really finished yet, but I think it has huge potential.
It uses a SuperTrend foundation layer with momentum filtering, volume confirmation, and, most importantly, an adaptive engine that continuously adjusts its own parameters based on recent performance. It fires entry arrows on the chart while running a background simulation to score how the current settings are performing — then quietly adjusts itself over time.
Two systems run in parallel: the signal engine that produces the arrows you see, and a background test matrix that opens and closes simulated trades to feed the optimizer. The optimizer adjusts parameters, which produces better signals, which feeds back into better learning.
The Core Concept
At its heart this is a SuperTrend indicator — a volatility band that flips bullish or bearish as price crosses it. Signals fire either when that flip occurs (Reversal mode) or when price pushes to a new extreme within the current trend (Breakout mode).
On top of this, three adaptive learning layers run continuously:
Global Optimizer — rolling window of recent trade results that proposes parameter changes based on win rate, Sortino ratio, and profit factor
Micro-Batch Processor — a faster layer that groups results into mini-batches for quicker adjustments
Regime Grid — a 2D memory map that remembers what settings worked under similar market conditions (trend strength × volatility) and biases proposals accordingly
The Most Important Settings — Start Here
Band Width (Group ②) — Default: 1.4
The single most impactful setting in the entire indicator. Controls how wide the SuperTrend bands are. Lower values (1.0–1.2) create tight bands that flip often, giving more signals but more noise. Higher values (2.0–3.0) only flip on large structural moves, giving fewer but stronger signals. If your chart feels too noisy, raise this first. Higher values result in more trend following signals, while lower ones result in more contrarian signals.
Lookback Window (Group ②) — Default: 30
How many bars back the indicator scans when detecting new highs and lows. Lower values (10–15) react to minor swings and fire frequently. Higher values (50–100) only react to large structural pivots. Tune this alongside Band Width — they work together.
Signal Type (Group ①) — Default: Reversal
Pick one and stick with it. Reversal catches turning points when a trend exhausts. Breakout rides momentum to new extremes.
Reactivity / Master Dial (Group ⑥) — Default: 10
Controls how aggressively the adaptive engine responds to new information. Value of 1 = very conservative, slow to adapt, stays close to your base inputs. Value of 20 = aggressive, adapts quickly and can drift far from base settings. Start at 10 and only raise it if the market you're trading changes character frequently.
Signal Spacing (Group ①) — Default: 10
Minimum bars between any two signals. Prevents clustered rapid-fire entries in choppy zones. Lower on fast timeframes (3–5 on 1-min), higher on daily charts (20–30).
Group-by-Group Reference
① Signal Mode
Signal Type — Reversal catches trend exhaustion flips. Breakout rides momentum to new extremes. Pick one.
Require Fresh Pivot — When on, a signal only fires if price made a genuine new high/low first. Off = more signals, more noise.
Signal Spacing — Minimum bars between signals. Tune per timeframe.
② Volatility Envelope
Lookback Window — Bars scanned for new highs/lows. Lower = more reactive, more signals.
Smoothing Period — ATR calculation period. Lower = faster reaction to volatility, more band flips.
Band Width — ATR multiplier for band width. The most impactful setting in the indicator. Lower = more signals, higher = fewer stronger signals.
Price Basis — Which price source feeds SuperTrend. hlcc4 (default) is smoothest, close is most reactive.
True Range Mode — On = RMA-smoothed ATR (standard). Off = EMA-smoothed, faster but noisier.
③ Momentum Filter
Active — Toggles RSI filtering. Off = more signals but no momentum confirmation.
Length — RSI period. Lower = more volatile RSI, filter triggers more easily.
Hot Zone Memory — How many bars back it checks whether RSI was overbought (for sell confirmation). Higher = more lenient.
Cold Zone Memory — Same concept for oversold / buy confirmation.
RSI Hot/Cold Levels (set in Group ⑬) — Overbought/oversold thresholds. Default 70/30. Wider = more signals, tighter = fewer.
④ Flow Analysis
Sample Depth — Bars averaged to define "normal" volume.
Surge Threshold — Volume must exceed this multiple of average to count as a surge (1.2 = 20% above average).
Require Surge — When on, signals only fire with volume confirmation. Dramatically reduces count but greatly improves quality. Worth enabling.
⑤ Signal Quality
Key Levels Only — Only signals at major structural turning points fire. Fewer signals — suited for swing traders.
Key Level Depth — ATRs the price range must span to qualify as a key level. Only matters when Key Levels Only is on.
⑥ Master Dial
Reactivity (1–20) — The meta-knob for the entire adaptive engine. Controls batch size, adaptation speed, deadband sensitivity, and EMA alpha simultaneously. If you only change one adaptive setting, change this.
Micro-Batch Processing — Enables the faster mini-batch learning layer. On = quicker adaptation.
Live Pressure Sensor — Tracks cumulative up/down-tick volume flow on live bars to bias the optimizer's step size. Only affects live charts.
⑦ Auto-Tune Engine
Enable Auto-Tune — Master switch. Off = fixed parameters forever, just a traditional indicator.
Use Background Test Matrix — Runs the 5×5 simulated trade grid. Must be on for any adaptation to occur.
Lock Envelope to Base — Forces plotted bands to use your original inputs visually even if internal parameters have drifted. The signal engine always uses adapted values regardless.
⑧ Optimizer
Most users don't need to touch these — the defaults work well.
Step Size — Base learning rate. Higher = faster but potentially overshooting adaptation.
History Depth — Rolling window of trades used to compute statistics. Higher = slower but more stable learning.
Win Ceiling / Floor — Win rate thresholds that trigger parameter tightening or loosening.
Momentum Smoothing — EMA blend factor for applying new proposals. Higher = faster-acting changes.
Update Cooldown — Minimum bars between parameter updates. Prevents rapid oscillation.
Deadband Width / Period — Proposed changes must exceed these thresholds before being applied. Filters micro-jitter.
Anchor Revert Interval / Strength — Every N bars, parameters drift back toward your base inputs. Safety mechanism against unbounded drift.
P&L Cap per Trade — Clips outlier trades at this USD value before learning from them. Prevents one giant win/loss from distorting statistics.
⑨ Risk Guard
Max Entries / Session — Stops new signals after this many trades in a day.
Session Loss Limit — Pauses trading if cumulative session P&L drops below this USD amount.
Base Pause After Loss — Bars to wait after a losing trade. Prevents revenge trading.
Streak Limit — Pauses after this many consecutive losses.
Scale Pause by Loss Size — Larger losses trigger proportionally longer pauses.
Enforce on Test Matrix — Applies risk rules to the background simulation too. Usually leave off so the matrix always has fresh data.
⑩ Context Memory (Regime Grid)
Enable Regime Grid — Activates the market-context memory system.
Regime / Volatility Bins — Resolution of the grid on each axis. More bins = finer resolution but slower confidence buildup per cell.
Neighbor Blend Radius — How much adjacent grid cells blend into each other. Higher = smoother but less precise.
Decay Half-Life — How quickly older data in a cell loses weight. Lower = faster forgetting.
Max Grid Influence — How much the regime grid can dominate the global optimizer. 0.65 = up to 65% grid contribution.
⑪ Decay Traces
Short-term fading trade memory that specifically monitors for large adverse moves to tighten stops.
Enable Trace Buffer — Activates short-term memory.
Fade Rate — Energy reduction per bar. Higher = only very recent outcomes matter.
Adverse Move Threshold — MAE in ATR units above which a trade is flagged as a tail event.
Guard Tighten Cap — Maximum stop tightening allowed from tail-event feedback.
⑫ State Snapshot
Restore String — Paste a previously exported snapshot here to reload learned parameters and grid cells across reloads.
Export Now — Toggle on to emit the current learned state as an alert string. Toggle off afterward.
Import on Next Bar — Applies the Restore String on the next confirmed bar.
Risk Management (TP/SL Overlay)
Show TP & SL — Toggles the visual overlay.
TP/SL for — Which signal type drives the levels — Contrarian, AI Supertrend, or Both.
TP 1/2/3 — Take-profit multipliers relative to the stop distance. Set any to 0 to disable that level.
Quick Tuning Guide
Too many noisy signals? Raise Band Width → raise Lookback Window → raise Signal Spacing → enable Require Surge → enable Key Levels Only.
Too few signals? Lower Band Width → lower Lookback Window → lower Signal Spacing → disable Require Surge → disable Key Levels Only → widen RSI Hot/Cold levels.
Want faster adaptation? Raise Reactivity toward 15–18 → lower History Depth → lower Decay Half-Life.
Want more stability? Lower Reactivity toward 3–5 → raise History Depth → raise Anchor Revert Interval.
Starting fresh on a new instrument? Let the indicator run for at least 50–100 bars before evaluating, then use Export Now to save the learned state so it survives a chart reload. Indicator
AG Pro Moving Average Ribbon Stress Meter [AGPro Series]AG Pro Moving Average Ribbon Stress Meter
Overview / What It Does
This indicator is designed to read the internal condition of a moving-average ribbon rather than treating the ribbon as a simple trend overlay. Instead of asking only whether the ribbon is bullish or bearish, it asks a different question: is the ribbon structurally calm, starting to load, becoming strained, or losing internal order.
The script builds a six-line moving-average ribbon, measures how those averages interact with each other, and converts that interaction into a stress framework. The result is a visual map that helps show whether the ribbon is organized, stretched, unstable, or resetting after stress.
In practical terms, the script is built to help users evaluate ribbon quality, internal synchronization, and the degree of structural pressure inside the moving-average stack. It is not intended to forecast future prices, call tops or bottoms, or replace broader market analysis. Its purpose is to organize what the ribbon is doing now and how stable or unstable that structure appears to be.
The chart output combines multiple layers: the ribbon itself, a central stress spine, edge bands, optional stress aura, event labels, and a compact status panel. Together, these elements aim to make the ribbon easier to interpret without requiring the user to manually inspect every moving average line on every bar.
Unique Edge
Many ribbon-style tools focus on directional bias, crossovers, or broad expansion and contraction. This script focuses on internal ribbon stress.
Its main distinction is that it does not treat all ribbon trends as equal. A ribbon can be rising while still carrying internal disagreement. A ribbon can also look compressed or visually clean while underlying alignment, slope behavior, width dynamics, or price stretch are beginning to deteriorate. This script is built to surface those conditions.
The goal is not to reduce the market to a single signal. The goal is to provide a structured visual read on whether the moving-average stack is operating in a calm state, a loaded state, a strained state, or a more unstable condition. That makes it more useful as a workflow tool than as a simple trend-colour overlay.
Another point of differentiation is presentation. The script uses a ribbon-focused visual design so that the user can read internal condition directly from the chart. Focus modes, theme presets, stress spine layering, and a compact panel are included to keep the display informative without turning the chart into a dense dashboard.
Methodology
The script evaluates ribbon condition through five stress components.
1) Order Stress
This measures whether the moving averages are stacked cleanly or whether their order is becoming mixed. Lower stress suggests cleaner structural order. Higher stress suggests more internal disorder.
2) Slope Dispersion Stress
This evaluates how consistently the moving averages are sloping together. When the ribbon lines are moving with similar directional agreement, synchronization is stronger. When their slopes diverge, internal stress rises.
3) Width Instability Stress
This tracks whether the ribbon width is behaving in a stable or unstable way. A ribbon can widen in an orderly way or in a more erratic way. This component attempts to distinguish between those conditions.
4) Curvature Stress
This evaluates bending in the ribbon core. Strong changes in ribbon curvature may indicate increasing internal pressure or transition.
5) Price Stretch Stress
This measures how far price is moving from the ribbon core relative to ribbon width and ATR-based normalization. This is not a directional claim. It is a structure-based distance measure.
These components are weighted and blended into a smoothed Stress Score. That score then feeds the state engine.
Primary states include Calm, Loaded, Strained, Critical, Fractured, and Recovery. The panel and visual styling use those states to summarize the ribbon condition at the current bar.
Signals & Alerts
This script is built around state transitions and structural events rather than buy/sell promises.
Depending on settings, users may see event labels and alerts such as:
Stress Build
Shows that stress has crossed into an early loading phase.
Strained
Shows that the ribbon has moved into a more stressed internal state.
Critical Load
Highlights a higher-pressure condition where instability has become more meaningful.
Ribbon Fracture
Marks a stronger structural failure condition when stress and ribbon order deterioration align.
Stress Reset
Shows that a previously elevated stress condition has cooled enough to register recovery.
Order Restored
Highlights improvement in ribbon order after disorder had been present.
These events are not trade instructions. They are context markers intended to help users track shifts in ribbon condition. Alerts should be interpreted together with market structure, timeframe context, volatility, and personal risk management.
Key Inputs
Source and MA Type
The ribbon can be built from different moving-average types and data sources.
Ribbon Lengths
Users can define the six ribbon lengths to fit their preferred structure and timeframe.
Stress Engine Inputs
ATR length, slope lookback, width lookback, curvature lookback, smoothing, and component references allow users to calibrate how sensitive the stress model should be.
Weights
The script includes separate weights for order stress, slope dispersion, width instability, curvature stress, and price stretch stress.
Thresholds
Loaded, Strained, Critical, and Fracture thresholds can be adjusted for tighter or looser state transitions.
Theme Presets and Focus Mode
Theme presets and focus modes allow the ribbon to be displayed in different visual styles while preserving the same logic.
Events and Panel
Users can control label density, label spacing, marker visibility, and panel position.
Limitations & Transparency
This script is an interpretation framework built around moving-average relationships. It does not know future price movement, and it does not claim certainty. Like any model built on smoothed market data, it will react more slowly in some environments and may produce fewer useful transitions in others.
Different assets and timeframes can produce different ribbon personalities. A threshold or weight set that feels balanced on one market may feel too sensitive or too quiet on another. Users should expect to adapt settings if they move between instruments with very different volatility or trend behavior.
The stress model is also deliberately selective. It does not try to label every fluctuation or classify every candle. Its purpose is to organize ribbon condition, not to describe every possible market state.
This indicator should also not be confused with a complete trading plan. It does not define entries, exits, position sizing, or account risk. It is best used as a structural context tool inside a broader workflow.
Risk Disclosure
This script is for chart analysis and educational use. It is not financial advice, investment advice, or a promise of outcome.
No indicator can guarantee performance, remove risk, or eliminate false readings. Market conditions change, correlations shift, and trend behavior can weaken or reverse without warning. Any decision taken from this script should be made within a broader framework that includes price structure, liquidity, volatility, timeframe alignment, and risk control.
Users are responsible for testing settings, understanding the limitations of moving-average tools, and deciding whether the information produced by the script fits their own process.
Indicator
MTF CISD Trade System + Alerts🔹 Introduction
This indicator, MTF CISD Trade System + Alerts, identifies high-probability trade entries by detecting Change in State of Delivery (CISD) events across up to six user-defined timeframes simultaneously, and only triggering an entry signal when every enabled timeframe agrees on directional bias — confirmed by a matching CISD on the chart's own timeframe.
The core idea is this: when the market's delivery mechanism — the way price is being distributed or accumulated by institutional participants — shifts in the same direction across multiple timeframes at once, that convergence is meaningful. A single timeframe CISD is noise. Six timeframes aligning and then confirming on your entry timeframe is a structurally significant event.
No model of institutional order flow or delivery state is perfect. CISD is a proxy — a price-action-based inference about intent, not direct visibility into the order book. I'll address this limitation honestly throughout.
🔹 The Premise
🔸 What is "Delivery"?
Markets don't move randomly. Price is delivered from one level to another by participants with directional intent. When a large participant — a bank, fund, or algorithm with size — wants to accumulate a long position, they need sellers. When they want to distribute, they need buyers. The process of filling that intent leaves observable footprints in price structure.
Delivery state refers to the current directional intent baked into recent price action. Is the market delivering price upward — making higher closes, respecting higher opens, absorbing sell-side resistance? Or is it delivering downward — closing below opens, treating prior bullish structure as supply?
The key insight is that delivery doesn't change instantaneously. It tends to persist. A market that has been delivering bullishly for the past several candles is more likely to continue doing so than to suddenly reverse — until it shows you structural evidence of a state change.
That evidence is what CISD captures.
🔸 The Mechanics of a CISD
Consider a concrete example. Assume price has been in a bearish delivery phase. The most recent non-inside bearish candle closed at $99 with an open of $101. That open — $101 — becomes a bull target: a structural level that, if reclaimed on a close, suggests the market is no longer delivering bearishly.
Now assume price trades sideways for a few candles and then a candle closes at $102. The prior close was at $100, meaning price was below $101 going into this candle and has now closed above it. That crossover — price transitioning through the open of a prior bearish candle — is a Bullish CISD.
Why does the open matter and not, say, the high or the body midpoint? Because the open of a directional candle represents where price started before commitment was expressed. Reclaiming it suggests that commitment is being challenged at the source. It's the most structurally defensible level to use without access to actual order book data.
The inverse applies for Bearish CISD: the open of the last non-inside bullish candle becomes a bear target, and a close below it — crossing from above — signals a shift toward bearish delivery.
Inside candles are excluded. A candle whose high is lower than the prior high and whose low is higher than the prior low is an inside candle — it expresses no directional commitment of its own. Using it to set a target would contaminate the signal with indecision. The indicator skips inside candles entirely when updating targets.
🔸 Why Multiple Timeframes?
A single CISD on a 5-minute chart happens dozens of times per session. Most are meaningless. They represent micro-fluctuations in a market that is, at higher timeframes, still clearly trending in the opposite direction.
The core challenge in intraday trading is timeframe alignment: you want to be trading with the higher timeframe bias, not against it. A bullish 5-minute CISD during a bearish hourly, daily, and weekly structure is a counter-trend scalp at best, a trap at worst.
Lo and MacKinlay (1988) documented that returns at different frequencies are not independent — price structure at higher timeframes significantly conditions the distribution of outcomes at lower timeframes. This is the academic underpinning of what traders know empirically: trade with the higher timeframe, not against it.
When the Weekly, Daily, H4, H1, M15, and M5 have all individually confirmed a bullish CISD — meaning delivery has demonstrably shifted to bullish on every relevant timeframe — the probability that a long entry will find follow-through is structurally higher than any single-timeframe setup could provide.
Six-timeframe alignment is rare. That rarity is the filter.
🔸 The Confirmation Gate — Why Not Enter Immediately on Alignment?
This is a subtle but critical design decision, and one that separates this system from a naive multi-timeframe crossover.
When a higher timeframe — say, the hourly — registers its CISD and becomes the final piece needed for full bearish alignment, the current 5-minute candle might already have a bullish CISD baked into it. That candle existed before the alignment completed. It's not a response to bearish alignment — it's a relic of the prior bullish structure.
Entering short on that candle would be entering against the very confirmation you're requiring. You'd be using a bullish local signal as a short entry trigger simply because the timing happened to coincide with a higher timeframe shift.
The indicator solves this with a pending state. The moment full alignment is achieved, the system arms a directional pending flag and waits. It does not enter. It listens. The entry only fires when the next local CISD — the one that occurs after alignment is confirmed — appears in the correct direction. A bearish pending state requires a new bearish CISD on the chart timeframe. A bullish pending state requires a new bullish CISD.
The entry is always a fresh confirmation, never a recycled one.
🔹 How It Works
🔸 CISD Detection Engine
The indicator runs an identical CISD detection function on every timeframe, including the local chart timeframe and all six user-selected higher timeframes via request.security. For each timeframe, it maintains two levels:
Bull target — the open of the most recent non-inside bearish candle
Bear target — the open of the most recent non-inside bullish candle
A Bullish CISD fires when the prior close was at or below the bull target and the current close is above it. A Bearish CISD fires when the prior close was at or above the bear target and the current close is below it.
State updates — the "Last CISD" label in the table — only occur on confirmed (closed) bars. This prevents the state from flickering during the formation of a live candle. What you see in the table reflects the last completed directional shift, not a mid-bar reading.
Small green triangles below bars mark Bullish CISD events on the chart timeframe. Small red triangles above bars mark Bearish CISD events. These are visual anchors showing you where delivery shifts are occurring locally — independently of whether alignment is achieved.
🔸 Multi-Timeframe Alignment Table
In the top-right corner, a compact table displays the current CISD state for each of the six configured timeframes.
Green (Bullish) — that timeframe's last confirmed CISD was bullish
Red (Bearish) — that timeframe's last confirmed CISD was bearish
Gray (Neutral) — insufficient history or no CISD has fired yet
Full alignment — all enabled timeframes showing the same state — triggers a green or red background on the chart. This background is persistent: it stays active for the entire duration that alignment holds, giving you a continuous visual context for the trade environment.
Individual timeframes can be enabled or disabled. Disabling a timeframe removes it from the alignment calculation entirely — it doesn't count for or against alignment. This lets you configure the system for your specific trading style, whether that's a 3-timeframe approach for faster setups or all 6 for maximum confluence.
🔸 Entry Signals
Larger triangles — green below the bar for longs, red above the bar for shorts — mark actual entry signals. These only appear when:
All enabled timeframes are aligned in the same direction
The CISD confirmation gate is armed (alignment was freshly achieved or is ongoing)
A new local CISD fires in the matching direction
The entry falls within the configured time window and day-of-week filter
Entries are taken at the close of the confirmation candle. This is an important assumption: in practice, you would place a limit order at the close price or enter at the open of the next candle. Bar-close entries are the most common convention for CISD-based strategies because the CISD itself is only confirmed on the close.
🔸 Trade Lines and Risk Management
When an entry fires, the indicator automatically draws three horizontal lines extending forward in time:
Blue (Entry) — the close price at the moment of entry
Red dashed (Stop Loss) — the open of the entry candle by default, or the low of the prior candle for longs / high of the prior candle for shorts if the "Use Previous Candle for SL" option is enabled
Green dashed (Take Profit) — calculated as Entry + (Risk × RR Ratio) for longs, Entry − (Risk × RR Ratio) for shorts
The Risk-Reward Ratio is fully adjustable. The default is 2.0, meaning TP is twice the distance of SL from entry. Increasing this improves the reward per trade but will reduce win rate as price needs to travel further to close the trade as a winner. Decreasing it improves win rate at the cost of expected value per trade — there is a direct tradeoff.
The stop loss placement assumption matters significantly. Using the entry candle's open assumes you're targeting the candle where delivery shifted as your invalidation point — if price returns to that open, the CISD failed. Using the prior candle's extreme gives the trade slightly more room but widens risk. Neither is universally superior — it depends on the volatility of the instrument and the timeframe you're trading.
Lines extend bar-by-bar until alignment breaks, at which point the trade is considered closed.
🔸 Session and Day-of-Week Filters
The entry filter uses America/New_York timezone with automatic DST adjustment. You set a start and end hour/minute in Eastern time, and the indicator computes whether each potential entry candle's close time falls within that window.
This matters because CISD setups during illiquid hours — Asian session for US equities, overnight for forex majors during off-hours — tend to produce false alignment from low-volume price drift rather than genuine institutional delivery shifts. Restricting entries to the primary session for your instrument significantly reduces noise.
Days of the week are individually toggleable. Sunday and Saturday are off by default. Mondays and Fridays around major economic events are worth monitoring carefully — many traders prefer to disable Friday entries to avoid holding through weekend gaps.
🔸 Performance Statistics Table
In the bottom-left, a live stats table tracks:
Total Trades — all entry signals that fired within the allowed session
Wins — trades where price reached the TP level before alignment broke
Losses — trades where price hit the SL level, or alignment broke before either level was reached
Win Rate — wins as a percentage of total trades
There are limitations here worth stating clearly. The stats count a trade as a loss if alignment breaks before either TP or SL is hit — which is the conservative assumption. In live trading, you might hold the trade past alignment if your personal rules allow it. The stats reflect the mechanical rules of the system as coded, not all possible discretionary interpretations.
🔹 Closing Remarks
CISD is one of the more structurally sound price-action concepts available to retail traders because it is anchored to a specific, objectively defined level — the open of a prior directional candle — rather than a subjective pattern or a lagging average. It doesn't predict the future. It identifies where delivery has demonstrably shifted and asks whether the market is confirming that shift across the timeframes that matter to you.
This system is not a black box that prints money. Full six-timeframe alignment is rare by design. When it occurs, you are looking at a market that has, at every relevant structural level, shifted its delivery state in the same direction. That's meaningful context — not a guarantee.
The most important thing this system can do for your trading is force discipline: you cannot enter unless structure agrees. You cannot enter on a stale signal. You cannot override the session filter in the code. The rules are the rules.
Use it as a confluence tool. Study the setups it finds. Understand why some hit TP and others break alignment early. The patterns in that data will teach you more about your instrument than any indicator description can.
🔹 References
Market Microstructure & Timeframe Dependency
Lo, A. W., & MacKinlay, A. C. (1988). Stock market prices do not follow random walks: Evidence from a simple specification test. Review of Financial Studies, 1(1), 41–66.
Easley, D., & O'Hara, M. (1992). Time and the process of security price adjustment. Journal of Finance, 47(2), 577–605.
Order Flow and Directional Delivery
Hasbrouck, J. (1991). Measuring the information content of stock trades. Journal of Finance, 46(1), 179–207.
Glosten, L. R., & Milgrom, P. R. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics, 14(1), 71–100.
Multi-Timeframe Analysis
Müller, U. A., Dacorogna, M. M., Davé, R. D., Pictet, O. V., Olsen, R. B., & Ward, J. R. (1993). Fractals and intrinsic time — a challenge to econometricians. Olsen & Associates Research Group, Zurich. Indicator
FVG Rejection Trade SystemHere's the publication description:
FVG Rejection Trade System
🔹 Introduction
This indicator — FVG Rejection Trade System — identifies Fair Value Gaps (FVGs) on your chart, detects when price returns to reject from those gaps, and automatically manages hypothetical trade entries, stop-losses, and take-profits — tracking all results in a live stats table.
The core idea is rooted in one of the more durable observations in price action: gaps created by three-candle imbalances act as unfinished business. When price returns to fill that imbalance and rejects, the gap has functioned as support or resistance. That rejection is the signal.
No indicator can guarantee the gap will hold. This model is a systematic framework for identifying and logging these events — not a prediction engine. A FVG that rejects on Tuesday may fill on Thursday. The stats table exists precisely to let you measure this empirically on your specific instrument and timeframe over time.
I'll cover the detection logic, entry rules, filtering options, and how to read the table output throughout.
🔹 The Premise
🔸 What is a Fair Value Gap?
A Fair Value Gap forms when price moves so aggressively in one direction that a three-candle sequence leaves an unfilled range. Specifically:
For a bullish FVG — the high of candle two bars ago is below the low of the current bar. That untouched range between them is the gap. Price gapped upward, leaving a pocket of inefficiency below.
For a bearish FVG — the low of candle two bars ago is above the high of the current bar. Price gapped downward.
To understand why these levels matter, consider what's happening mechanically. Assume price is trading at 5,000 on an S&P futures chart. A large aggressive buy order runs through the tape — three consecutive candles close higher with almost no overlap. The high of the first setup candle sits at 4,980. The low of the third candle is 5,010. Everything between 4,980 and 5,010 was skipped.
That range never saw two-sided trading. No sellers provided liquidity there because price moved through before they could respond. No buyers filled bids there because the move was already past them.
When price returns to that range, it is returning to the scene of unfinished business. Buyers who missed the initial move may be waiting. Sellers who were run over may defend. The gap acts as a potential inflection zone.
🔸 Why Rejection — Not Just Touch — Is the Signal
A gap retest alone isn't enough. Price entering a FVG is ambiguous — it could be reclaiming the zone cleanly, or it could be reversing hard through it. The distinction matters enormously for trade quality.
This indicator requires rejection confirmation: the candle that enters the zone must close back outside the zone on the opposite side from which it entered. For a bullish FVG, the candle's low must reach down into the zone and its close must be at or above the zone top. The candle wick penetrated — the body confirmed recovery.
This is the structural equivalent of a failed breakdown. Price tested the support area, couldn't sustain below it, and committed back above. That candle body is the market's real-time vote.
A close that confirms rejection is meaningfully different from a wick that merely touches.
🔸 Invalidation Logic — When the Gap No Longer Matters
Not all gaps deserve to be traded. This indicator implements a two-sided invalidation rule:
A bullish FVG is deleted if price closes below the gap's bottom boundary. Support is gone. There's no basis for a long setup in a zone that price has already violated on a closing basis.
A bullish FVG is also deleted if price closes above the gap's top boundary without a rejection. This means price blew through cleanly — the gap was consumed, not defended. The "retest and hold" scenario is no longer available.
The same logic applies symmetrically to bearish FVGs.
A gap that price has already escaped is no longer a valid reference level. Removing it keeps the chart clean and the trade logic honest.
🔹 How It Works
🔸 Detection and Box Rendering
FVGs are rendered as colored rectangles — green for bullish, red for bearish — extending a user-defined number of bars to the right. The minimum gap size filter (default: ATR-based) prevents the indicator from tagging every micro-gap on every bar. When Auto Min Gap Size is enabled, the gap must exceed one ATR(14) to be considered meaningful relative to current volatility. You can disable this and set a manual threshold if you prefer a fixed tick/point minimum.
Enabling Only Show Latest Gap keeps the chart uncluttered by removing previous boxes when a new one forms. Useful on lower timeframes where gaps stack quickly.
🔸 Entry Logic
When a rejection candle closes, the trade is queued — it does not enter on that candle's close. Entry fires at the open of the next bar. This is a deliberate choice: entering at the current bar's close introduces lookahead risk in backtesting. Entering at the next bar's open is what you would actually execute in practice by placing a market order after the signal candle closes.
Entry is long for bullish FVG rejections. Entry is short for bearish FVG rejections.
🔸 Stop-Loss Placement
Two stop modes are available:
FVG Zone — the stop is placed below the gap's lower boundary (for longs) or above the upper boundary (for shorts). A configurable buffer (default 10% of gap size) is added beyond the level to avoid being stopped by noise that slightly violates the zone.
Rejection Candle High/Low — the stop is placed at the extreme wick of the rejection candle itself (the low for longs, the high for shorts), again with the buffer. This produces a tighter stop and larger R:R in raw price terms, but is more susceptible to being stopped out on follow-through wicks.
The choice between these modes meaningfully changes your win rate and average risk. Neither is universally superior — the stats table exists to help you measure this on your instrument.
🔸 Take-Profit
TP is calculated as a fixed Risk:Reward multiple from entry. At the default 2:1, every dollar risked targets two dollars of reward. The R:R is displayed in the stats table and updates in real time when you change the setting.
🔸 Entry / SL / TP Lines
Three dashed lines are drawn from each entry bar: white for entry price, red for stop, green for take-profit. All three extend to the right until the trade resolves.
When a trade closes, the lines are capped at the exit bar. The line representing the level not reached is faded — red fades on wins, green fades on losses — giving you an immediate visual read on what happened without needing to inspect every trade manually.
Every element of these lines — color, width, style (solid, dashed, dotted) — is fully customizable from the Line Styles settings group.
🔸 TP ✓ / SL ✗ Labels
At the bar where each trade resolves, a label is placed at the exact exit price. TP ✓ in your chosen green confirms a winning trade. SL ✗ in your chosen red marks a stop-out. Labels are positioned above or below the bar based on direction and outcome so they don't stack on top of each other. Label size is independently configurable.
🔸 VWAP Filter
When enabled, the indicator will only enter long trades on rejection candles that closed above VWAP, and only enter short trades on candles that closed below VWAP. The VWAP line is rendered on the chart in yellow when this filter is active.
The rationale: VWAP is the volume-weighted average price for the session. A bullish FVG rejection occurring while price is below the day's average traded price is swimming against the volume-weighted current. Filtering to your directional VWAP bias is one of the simplest regime filters available on intraday charts.
Note that VWAP resets each session. On daily or higher timeframes this filter has less conceptual meaning and should likely be disabled.
🔸 Time Window Filter
The indicator includes a session time filter defaulting to 8:00 AM – 11:00 AM EST — the first three hours of the US equity session, generally considered the highest-liquidity and most directional window of the trading day. Only rejections occurring inside this window will trigger entries.
Time is calculated from the raw bar timestamp converted to UTC-5, so the filter functions correctly regardless of your chart's timezone setting. Start and end times are entered in 24-hour HHMM format (e.g., 800 for 8:00 AM, 1300 for 1:00 PM).
Toggling this filter off opens the system to all hours, which is useful for evaluating overnight sessions or non-US instruments.
🔸 Stats Table
A real-time performance table is rendered in the corner of your choice, showing:
Wins / Losses / Total — broken out for bullish trades, bearish trades, and combined
Win Rate — percentage of closed trades that hit TP before SL
R:R — the current risk-reward setting, so the context behind the win rate is always visible
Open — count of currently active trades by direction
Win rate without R:R is meaningless data. A 30% win rate at 3:1 R:R is profitable. A 60% win rate at 0.5:1 is not. The table shows both together intentionally.
🔹 Settings Reference
Fair Value Gap
Gap Length — how many bars the FVG box extends to the right
Auto Min Gap Size — uses ATR(14) as the minimum gap threshold; disable to set manually
Only Show Latest Gap — removes older boxes when a new gap forms
Delete Filled Gaps — removes boxes when price closes outside both boundaries
Trade System
Risk:Reward Ratio — TP distance as a multiple of risk
Stop Loss Placement — FVG Zone or Rejection Candle High/Low
Stop Buffer % — percentage of zone/candle range added beyond the SL level
VWAP Filter — restrict entries to VWAP-side direction
Time Window Filter — restrict entries to a configurable EST time range
Line Styles
Fully independent color, width (1–4), and style (Solid/Dashed/Dotted) for Entry, SL, and TP lines
Separate color and size controls for TP ✓ / SL ✗ hit labels
🔹 Closing Remarks
Fair Value Gaps are one of the more conceptually grounded tools in modern price action analysis. They represent real structural events — moments where directional aggression created an asymmetric footprint in the price record. Whether they consistently act as support or resistance depends heavily on the instrument, timeframe, and market regime.
This indicator is a measurement tool, not a prediction engine. The stats table is its most important feature. Load it on your preferred chart, let it run across several weeks of data, and examine whether bullish rejections, bearish rejections, or both are producing positive expectancy at your chosen settings. Change the time filter. Test different R:R ratios. Compare the VWAP-filtered results against unfiltered.
The system gives you the infrastructure to do that work empirically. What you do with the data is the actual edge. Indicator
Outside Bar & 2-Bar Reversal Alerts + SystemOutside Bar & 2-Bar Reversal — Price Action Reversal Detection with Integrated Trade Management
Hello friends and traders!
🔹 Introduction
This indicator — Outside Bar & 2-Bar Reversal — automatically identifies two of the most structurally sound price action reversal patterns and overlays a complete trade management system directly on your chart.
The patterns this indicator detects are rooted in a simple but powerful idea: momentum exhaustion followed by full absorption. When price makes an aggressive directional push and is then completely engulfed by the opposing side, it often signals that the prevailing move has run out of willing participants.
The indicator also includes an optional suite of confluence filters — VWAP, swing sweeps, and time-of-day — so you can isolate the highest-quality setups rather than trading every signal blindly.
I'll cover the pattern logic, the trade management system, and all filters in detail throughout this description.
🔹 The Premise
🔸 Why Reversal Candles Work
Price moves because of imbalance. When more aggressive buyers than sellers are active, price rises. When more aggressive sellers than buyers are active, price falls.
Reversal candle patterns are useful because they attempt to identify the moment that imbalance flips — where one side that was previously dominant is fully overcome by the other.
The key word is fully. A simple bearish candle after a bullish candle tells you very little. What's meaningful is when the opposing candle completely engulfs the prior move — taking out its low, closing above its open, and reaching above its high. That's not just a pause. That's a statement.
This is the foundation of both patterns this indicator detects.
🔸 What Is an Outside Bar?
An outside bar is a candle that completely engulfs the prior candle — its range exceeds the prior candle's range on both sides.
But not all outside bars are created equal. A random outside bar on a quiet consolidation bar means very little. The patterns this indicator targets require context and directionality before the signal fires.
Bullish Outside Bar — Full Conditions:
Candle 1 must be bearish — it closes below its open
Candle 1 must close below the prior candle's close — a genuine continuation of selling
Candle 1's low must be below the prior candle's low — it must make a lower low, showing directional commitment
Candle 2 (signal candle) must have a lower low than Candle 1 — extending the flush
Candle 2 must close above Candle 1's open — full absorption of the bearish candle
Candle 2 must have a higher high than Candle 1 — completing the engulf
The result: a setup where price made a committed bearish push, and then a single candle came in, swept below it, and closed above the entire prior move. Buyers didn't just show up — they overwhelmed every seller from the prior candle.
Bearish Outside Bar — Full Conditions:
The exact mirror. A committed bullish candle that makes a higher high, followed by a signal candle that sweeps above it and closes below its entire range. Sellers overwhelmed every buyer.
🔸 What Is a 2-Bar Reversal?
The 2-Bar Reversal is a related but distinct pattern. Rather than requiring full range engulfment, it focuses on close-to-close extremity.
Bullish 2-Bar Reversal:
Candle 1 closes entirely below the low of the candle before it — an aggressive, committed flush
Candle 2 closes above the open of Candle 1 — a full reclaim of the prior candle's starting point
The logic: if price closes below a prior candle's entire range, sellers were aggressive. If the very next candle reclaims all of that, buyers responded even more aggressively. The speed of the reversal is what makes this significant.
Bearish 2-Bar Reversal:
Candle 1 closes above the prior candle's high. Candle 2 closes below Candle 1's open. Immediate and full rejection of the breakout.
🔹 Integrated Trade Management
Every signal automatically places three levels on your chart so you never have to manually calculate a trade again.
🔸 Entry
The open of the candle immediately following the signal candle. You're not chasing — you're entering at the next structured open after confirmation is complete.
🔸 Stop Loss
The open of the signal candle itself. The reasoning: if price returns to where the signal candle opened, the reversal thesis is structurally compromised.
🔸 Take Profit
Fully user-adjustable R multiple. Default is 2R — meaning for every dollar risked, you're targeting two dollars of reward. Adjustable from 0.1R to any value via the settings panel.
🔸 Line Behavior
All three lines extend to the right in real time and automatically terminate the moment price hits either the TP or SL level. No manual cleanup. No cluttered leftover lines. Every historical trade remains visible on the chart so you can review setups at a glance.
🔹 Live Performance Table
A built-in stats table tracks every closed trade automatically:
Total Trades — all resolved trades
Wins — trades that reached the TP level
Losses — trades that hit the SL level
Win Rate — displayed as a percentage, color coded green above 50% and red below
Load any chart, any timeframe, any market — the table populates in real time and gives you an instant read on how the patterns have performed under your current filter settings.
🔹 Confluence Filters
Each filter is independently toggleable. Use one, all, or none — the indicator works standalone without any filters active.
🔸 VWAP Filter
VWAP (Volume Weighted Average Price) is widely used by institutional participants as an intraday benchmark. Price trading above VWAP is generally considered a bullish market structure for the session; below VWAP is bearish.
When enabled, this filter requires:
Bullish signals: the signal candle must close above VWAP
Bearish signals: the signal candle must close below VWAP
This keeps you aligned with the intraday institutional bias rather than trading reversals against the dominant order flow of the session.
🔸 Swing Sweep Filter
One of the most reliable contexts for a reversal pattern is when it occurs after a liquidity sweep — price briefly trading through a prior swing point before reversing. This is often where stop orders from trapped traders trigger, adding fuel to the reversal.
When enabled:
Bullish signals only show if the signal candle's low swept below a recent pivot low
Bearish signals only show if the signal candle's high swept above a recent pivot high
Both the lookback window and the pivot strength (number of bars required on each side to qualify as a swing) are fully adjustable.
🔸 Time Window Filter
Not all hours of the trading day are equal. The highest-quality price action signals tend to occur during periods of genuine institutional participation — typically the first few hours of the New York session when volume, spread, and volatility are all at their daily peak.
When enabled, signals are restricted to a user-defined time window. Default is 8:00 AM – 11:00 AM EST, covering the New York open. The start and end times are individually adjustable by hour and minute. Uses the America/New_York timezone, so EST/EDT daylight saving transitions are handled automatically.
🔹 Settings Overview
SettingDescriptionShow Bullish / Bearish SignalsToggle each direction independentlyShow Outside BarsToggle OB pattern on/offShow 2-Bar ReversalsToggle 2BR pattern on/offTake Profit R MultipleAdjustable TP target (default 2R)Show Trade LinesToggle entry/SL/TP linesLine ColorsIndependently customizableTime Window FilterOn/off + start/end timeVWAP FilterOn/offSwing Sweep FilterOn/off + lookback + pivot strength
🔹 Works On Any Market & Timeframe
The patterns are purely price-action based — no volume dependency, no indicator inputs. They apply equally to equities, futures, forex, and crypto. Most effective on intraday timeframes (1m–15m) during high-liquidity sessions, but the logic holds on higher timeframes for swing traders as well.
🔹 Closing Remarks
The Outside Bar and 2-Bar Reversal are not new concepts. Traders have been observing these patterns for decades. What this indicator adds is precision in definition — ensuring every signal meets a strict structural checklist rather than firing on any loosely engulfing candle — combined with a fully automated trade management overlay and a real-time performance table.
The filters exist because context matters. The same pattern in the middle of a choppy afternoon session, below VWAP, with no liquidity sweep, is a different proposition to the same pattern at the New York open, above VWAP, after a clean sweep of a prior swing low.
Use the filters to build a ruleset that matches your edge, and use the performance table to validate it.
Drop a comment below with the market and timeframe you're testing this on — always interested to see how different traders apply price action tools. Indicator
Order Blocks Rejection Stats [RT]This indicator identifies Order Blocks based on price action. It draws rectangular zones on the chart for visual identification and highlights bounces (rejections) within these zones. Additionally, it provides optional trade visualization with entry, stop-loss (SL), and take-profit (TP) lines based on user-defined filters, along with a performance summary table for backtesting purposes.
The logic is inspired by smart money concepts (SMC), focusing on pivot zones where price may reverse or continue.
Note that this is a technical tool for analysis only; it does not provide trading signals or guarantees any outcomes.
Key Features
Order Block Detection: Automatically detects and draws bullish (demand) and bearish (supply) order blocks using predefined price action setups.
Bounce Identification: Marks rejections (bounces) at order blocks with triangles for quick visual cues.
Trade Visualization: On bounces meeting filter conditions, plots entry (at close), SL (at block extremity or candle open), and TP (based on adjustable risk-reward ratio) lines. Lines extend until SL or TP is hit, with arrows indicating hits (green for TP, red for SL).
Filters: Includes a customizable moving average (MA) for trend confirmation (e.g., long above MA), time window for session-based trading, and optional SL adjustment to the bounce candle's open.
Performance Table: Displays wins, losses, and win rate in a table (for educational backtesting; not real-time trading results).
Customizable Colors and Sizes: User inputs for line colors and table text size.
Inputs and Settings
Delete Order Blocks After Fill: Removes blocks after price breaks through them.
Order Block Extension Length: Sets how far blocks extend (0 for infinite).
Moving Average Settings: Length, type (SMA/EMA/etc.), and source for trend filter.
Time Filter: Start/end hours/minutes to restrict entries to specific sessions.
Use Bounce Candle Open for SL: Moves SL to the open of the confirming candle.
Risk Reward Ratio: Adjusts TP distance relative to risk (default 1:1).
Line Colors: Separate colors for long/short entry, SL, and TP lines.
Table Text Size: Options from "tiny" to "huge" for the stats table.
How It Works
Block Formation: Scans for pivot setups (e.g., engulfing or break patterns) to create new blocks, queuing them for future retests.
Bounce Detection: When price overlaps a block and forms a reversal pattern, it's marked as a bounce.
Entry Conditions: Entries trigger on bounces above/below the MA and within the time window. Lines are drawn and extended dynamically.
Exit Tracking: Monitors if price hits TP (win) or SL (loss), updates the table, and stops line extension.
Table Update: Shows cumulative stats on the last bar for review.
This indicator can be used on any timeframe or asset for zone-based analysis. Experiment with settings to suit your chart.
Important Disclaimer
This is an educational tool and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and use proper risk management. The developer makes no representations about profitability or suitability for any trading strategy. Indicator
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Price per m2 Argentina CABA USD/m2 - SMAs (1999-2025)Overview
This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) with monthly data (2012–2025) to reconstruct a long-term residential real estate pricing series.
All values were manually digitized, cleaned, and consolidated from public reports and market datasets to create a continuous analytical framework for historical valuation analysis.
The script also includes SMA20, SMA50, and SMA100 calculated over the custom dataset to support long-term trend analysis, cycle identification, and macro structural evaluation.
Data Sources
1999–2011 (Annual): Maure Real Estate Market Reports
2012–2020 (Monthly): UCEMA Real Estate Index
2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor
All datasets referenced are derived from publicly available reports and institutional publications.
How to Use This Indicator
*USE ON THE 1 MONTH TIMEFRAME*
This tool enables investors, developers, and market analysts to:
• Identify multi-year trend shifts in residential real estate valuations
• Compare pricing cycles against Argentine macroeconomic environments
• Map long-term support and resistance zones
• Detect early signs of market recovery or contraction
• Integrate real estate fundamentals with technical analysis frameworks
The moving averages help visualize structural trends that are typically less observable in traditional property datasets.
About This Work
This historical series was reconstructed and coded by Engineer Francisco Michelich through the consolidation of market research, statistical normalization, and technical analysis methodologies.
This script does not represent an official financial index and is not affiliated with the original data institutions. It is intended solely as an educational and analytical tool for visualizing long-term trends in the Buenos Aires, Argentina residential real estate market. Indicator
POC Sweep Reclaim [LuxAlgo]The POC Sweep Reclaim (PSR) model identifies a two-step "rejection then acceptance" price action pattern centered around the Point of Control (POC) of previous candles. By approximating volume-at-price data using lower timeframe (LTF) granularity, the tool highlights specific liquidity traps where price first fails to sustain a move beyond a high-volume level and subsequently reclaims it.
The PSR framework is built on the logic that a "Sweep" represents a failed probe of value, while the "Reclaim" represents a successful breach, signaling a potential shift in market dominance as price moves away from trapped participants.
🔶 USAGE
The indicator visualizes market microstructure dynamics through a sequence of two distinct events:
🔹 The Sweep (The Rejection)
A sweep occurs when a candle's wick trades through the previous bar's POC, but the candle body fails to close beyond it. This identifies a "Liquidity Grab" where price interacts with a high-volume node but fails to find acceptance, often trapping breakout traders.
Buyside Sweep: Price wicks above the previous POC but closes below it (Bearish Rejection). Sellside Sweep: Price wicks below the previous POC but closes above it (Bullish Rejection).
🔹 The Reclaim (The Acceptance)
A reclaim occurs when the candle immediately following a sweep successfully closes beyond the same POC level that was just rejected.
BSR (Buyside Reclaim): A bullish signal where price closes above a previously swept upper POC, suggesting the trap is resolved to the upside. SSR (Sellside Reclaim): A bearish signal where price closes below a previously swept lower POC, suggesting follow-through to the downside.
🔶 DETAILS
The script aims to bridge the gap between standard OHLCV analysis and order-flow dynamics. While a true footprint engine (available on higher PulseWire tiers) is more accurate, this script uses a proxy by aggregating volume from a lower timeframe (e.g., 1-minute) to estimate the POC of higher-timeframe bars.
🔹 Academic Intuition
Order-Flow Imbalance (OFI): Short-term price changes are strongly linked to the inability of one side to provide enough depth. A "reclaim" reflects a shift where the dominant side successfully absorbs the liquidity that caused the initial rejection. Salient Prices: High-volume nodes like the POC act as psychological and mechanical barriers. Research indicates that liquidity clusters around these prominent prices, making them significant areas for support/resistance. Stop-Loss Cascades: Sweeps often interact with clustered stop-loss orders. If price reclaims the level after clearing these stops, it can trigger a directional move as the market "clears" the liquidity hurdle.
🔹 Practical Limitations
Footprint Proxy: The POC is calculated by aggregating volume at the close of LTF bars. This is a noisy proxy compared to a true footprint, which tracks every tick. Data Snooping: Like all pattern-based indicators, the "Reclaim" logic should be verified with robust backtesting to ensure signals are not the result of random price noise. Repainting: Because the POC depends on LTF data, the values for the current developing bar may fluctuate until the candle closes.
🔶 SETTINGS
Lower Timeframe for POC: Sets the granularity for volume aggregation. A lower value (like 1m) provides a more precise POC proxy. Show POC: Toggles the visibility of the calculated Point of Control dots for every bar. Show Sweep Dots: Displays markers at the POC level when a wick interaction occurs without a body close. Show BSR (Buyside Reclaim): Highlights candles that successfully close above a swept buyside POC. Show SSR (Sellside Reclaim): Highlights candles that successfully close below a swept sellside POC. Indicator
