Long-Term Refuges (LTR)══════════════════════════════
// Intruduction // (Spanish Texts Below)
══════════════════════════════
This indicator is originally based on a soft fork of the Multi-Timeframe Recursive Zigzag Indicator by ©Trendoscope. We have used the technology of their libraries for Zigzag generation so that the user has the freedom to choose which of the different Zigzags calculated by ©Trendoscope as "Levels" is most suitable for adapting to the generation of ideal phases for evaluation and selection as "most predominant" phases, in long-term periods, for any asset according to its particular behavior based on its volatility and price variation rhythm.
// Theoretical Foundation of the Indicator //
═══════════════════════════════════
Many traditional institutional investors use the last major-grade market phase that stands out
from the others (longer duration and greater price change on daily timeframe), to base a Fibonacci whose levels are used to open long-term positions. These positions can remain open to be activated in the future up to years in advance. The phase is considered valid until a new more predominant phase develops in the future; with which the same strategy is repeated.
// Indicator Objectives
══════════════════
1) Automatically find the last most predominant phase of an asset, analyzing it on daily timeframe and taking into account whether the long-term market trend is bullish or bearish.
2) Plot a Fibonacci Retracement over the predominant phase (reversed if the phase is bullish.)
3) The indicator numbers and locates the 3 most predominant phases, from which it chooses Top-1 for plotting.
4) If the user does not agree with the indicator's automatic selection, they have the freedom to choose any of the other 2 Top phases for plotting the Fibo and its levels.
5) If the user does not agree with the amplitude or frequency of the plotted Zigzag phases, they can modify the parameters of the Zigzag calculation of the ©Trendoscope algorithm until one of the Top-3 matches the phase they have in mind.
6) As an experimental bonus, the indicator runs a contest (CP) of bull's-eye price coincidences (OHLC) daily with all Fibo levels of the selected Top 3 phases, to verify which phase the market prices are validating as the most popular for placing operations. Contest results are displayed in the CP column of the Top-3 phases table. If as a result of the contest it is detected that there is a change in the winning phase, a switch can be enabled to activate an alert that the user can use with TradingView's alert creator to show an alarm, send an email, etc.
7) This indicator was designed for the user to find the long-term predominant phase of their assets and manually record the date-price coordinates of the i0-i1 anchors of the predominant phase. The Top-1 phase coordinates are shown in the table Top-3 phases from where the user can capture them. The date-price coordinates of all HH and LL pivots, of all Zigzag phases, appear through a switch. With the pivots, the user can search or select a different phase from those automatically found
by the indicator, according to their own research. Subsequently, the user forgets about this LTR indicator for a good while and proceeds to apply in their normal operation our SLTR indicator (Simplified Long-Term Refuges), in which they can plot and follow simultaneously the long-term refuges of up to 5 different assets, by just entering their corresponding date-price coordinates,
which were calculated previously with this LTR indicator.
// Additional Notes:
══════════════════
1) As of the publication date of LTR version v1.0 (12/2025), the ©Trendoscope Zigzag generation parameters were adjusted by default to find the long-term predominant phases of Bitcoin and Ethereum (2020-2021 Pandemic). The levels shown in the chart correspond to the results obtained using daily data from Bitstamp exchange, BTCUSD:BITSTAMP (popular in Europe).
2) Due to TradingView's strict publication rules related to the use of languages other than English, the complete Spanish version (plain language), with all entries, help (tooltips) and bibliographic references, will soon be available in our GH repository: aj-poolom-maasewal. Any corrections or improvements that can be made to the phase selection algorithms or to the CP phase contest algorithm, will be highly appreciated (Statistical, mathematical and financial sciences, among many others, are not particularly our forte).
════════════
SPANISH TEXTS
════════════
// Introduccion
════════════
Este indicador esta basado originalmente en un soft fork del Indicador Multi-Timeframe Recursive Zigzag de ©©Trendoscope. Hemos utilizado la tecnologia de sus librerias para la generacion de Zigzags de manera que el usuario tenga la libertad de escoger cual de los diferentes Zigzags que se calculan por ©Trendoscope como "Niveles" es el mas adecuado para adaptarse a la generacion
de las fases ideales para su evaluacion y seleccion como fases "mas preponderantes", en periodos de largo plazo, de cualquier activo de acuerdo a su comportamiento en particular segun su volatibilidad y ritmo de variacion del precio.
// Fundamento Teorico del Indicador
═══════════════════════════
Muchos de los inversores institucionales tradicionales utilizan la ultima fase de mercado de grado mayor que sobresale de las demas (mayor duracion y mayor cambio de precio en temporalidad diaria), para basar un Fibonacci en cuyos niveles abren posiciones de largo plazo. Esas posiciones pueden quedar abiertas para activarse en el futuro hasta con anios de antelacion. Se considera que la fase tiene vigencia hasta que en el futuro se desarrolla otra nueva fase mas preponderante; con la cual
se repite la misma estrategia.
// Objetivos del indicador
════════════════════
1) Encontrar de manera automatica la ultima fase mas preponderante de un activo, analizandolo en temporalidad diaria y tomando en cuenta si la tendencia del mercado a largo plazo es alcista o bajista.
2) Trazar un Retroceso de Fibonacci sobre la fase preponderante (revertido si la fase es alcista.)
3) El indicador numera y localiza las 3 fases mas preponderantes, de las cuales escoge a la Top-1 para el trazado.
4) Si el usuario no concuerda con la seleccion automatica del indicador, tiene la libertad de escoger a cualquiera de las otras 2 fases Top para el trazado del Fibo y sus niveles.
5) Si el usuario no concuerda con la amplitud o la frecuencia de las fases del Zigzag trazado, puede modificar los parametros del calculo del Zigzag del algoritmo de ©Trendoscope hasta que una de las Top-3 coincida con la fase que tiene mentalizada.
6) Como bonus experimental, el indicador ejecuta un concurso (CP) de tiro al blanco de coincidencias de precios (OHLC) diarios, con todos los niveles Fibo de las Top 3 fases seleccionadas, para tratar de comprobar cual es la fase que estan validando los precios del mercado como la mas popular para colocar operaciones. Los resultados del concurso se despliegan en la columna CP de la tabla Top-3 fases. Si como resultado del concurso se detecta que hay un cambio en la fase ganadora, se puede habilitar un switch para que se active una alerta que el usuario puede utilizar con el creador de alertas de Tradingview para que le muestre una alarma, le mande un email, etc.
7) Este indicador fue diseniado para que el usuario encuentre la fase preponderante de largo plazo de sus activos, y registre a mano las coordenadas fecha-precio de las anclas io-i1 de la fase preponderante. Las coordenadas de la fase Top-1 se muestran en la tabla Top-3 fases, de donde la puede capturar el usuario. Las coordenadas fecha-precio de todos los pivots HH y LL, de todas las fases del Zigzag, aparecen mediante un switch. Con los pivots, el usuario puede buscar o seleccionar otra fase diferente a las encontradas automaticamente por el indicador, de acuerdo a su investigacion propia. Posteriormente, el usuario se olvida por un buen rato de este indicador RLP y pasa a aplicar en su operativa normal nuestro indicador RLPS (Refugios de largo plazo simplificado), en el cual puede trazar y dar seguimiento simultaneo a los refugios de largo plazo de hasta 5 diferentes activos, con tan solo introducir sus correspondientes coordenadas fecha-precio, previamente calculadas con este indicador RLP.
// Notas adicionales
════════════════
1) A la fecha de publicacion de la version v1.0 de RLP (LTR) (12/2025), los parametros de generacion del Zigzag de ©Trendoscope se ajustaron por default para encontrar las fases preponderantes de largo plazo de Bitcoin y Etherum (Pandemia 2020-2021). Los niveles mostrados en el grafico, corresponden a los resultados obtenidos, usando los datos diarios del exchange Bitstamp, BTCUSD:BITSTAMP (muy popular aquí en Europa).
2) Debido a las estrictas reglas de publicacion de Tradingview relacionadas con el uso de lenguajes diferentes al ingles, la version en espaniol (roman paladino) completa, con todas las entradas, ayudas (tooltips) y referencias bibliograficas, estara proximamente disponible en nuestro repositorio de GH: aj-poolom-maasewal. Cualquier correccion o mejora que se le puedan hacer a los algoritmos de seleccion de fases o al algoritmo del concurso CP de fases, seran altamente apreciados (La ciencias estadisticas, matematicas y financieras, entre otras muchas, no son particularmente nuestro fuerte).
ابحث في النصوص البرمجية عن "BULL"
MTF Candle Body Break WITH 20SMAMTF Candle Body Break WITH 20SMA: Complete Guide
This indicator is a professional-grade market environment analysis tool designed to synchronize "Market Structure" and "Momentum" across multiple timeframes (MTF).
1. Core Logic: Candle Body Break
Unlike traditional high/low breakouts that include wicks, this tool focuses exclusively on "Body Breaks" (Closing prices).
Logical Basis: Wicks often represent temporary noise. A closing price break signifies a genuine shift in market consensus.
Visualization: * Blue Lines: Bullish Structure.
Red Lines: Bearish Structure.
Gray/Black Lines: Historical breakout levels that often act as future Support or Resistance (S/R Flip).
2. Triple 20SMA System
The indicator automatically plots three generations of 20-period SMAs relative to your current chart.
Short-term (Black): 15-Min 20SMA (On a 1H chart). This acts as the "immediate support" for a strong trend.
Mid-term (Blue): Current TF 20SMA. The backbone of the trend.
Long-term (Red): Higher TF 20SMA. The major trend direction.
3. The Dashboard System (Three Components)
The right side of the screen features a three-part visual system to confirm trend alignment:
① Top-Right Panel: Long-Term Signal
Compares Daily (1D) and 4-Hour (4H) structure.
Blue: Both are bullish.
Red: Both are bearish.
② Middle-Right Bar: Momentum Signal (The "Final Filter")
This vertical bar represents the SMA 10/20 Sync.
Blue: The SMA 10 is above the SMA 20 on the 1-Hour chart. This indicates that short-term momentum is accelerating upward.
Red: The SMA 10 is below the SMA 20. This indicates downward acceleration.
Gray: No clear momentum (ranging or indecisive).
③ Bottom-Right Panel: Short-Term Signal
Compares 1-Hour (1H) and 15-Minute (15M) structure.
Blue: Both are bullish.
Red: Both are bearish.
4. Entry Signal: The "●" (Dot)
The "●" signal is the "Perfect Alignment" trigger. It appears when:
Long-term (Daily/4H) is aligned.
Short-term (1H/15M) is aligned.
Momentum (Middle Bar) is aligned.
When all these turn the same color, the "●" appears, signaling a high-probability trade.
日本語解説：完全版
このインジケーターは、**「相場の構造（実体ブレイク）」と「勢い（移動平均線の同期）」**を全時間軸で一致させ、高勝率なポイントを特定する環境認識ツールです。
1. 核心：実体ブレイク（Body Break）
ヒゲではなく、**「終値（実体）」**で高値・安値を更新した時のみをトレンド転換と見なします。
メリット: 突発的なヒゲによるダマシを排除し、真の構造変化を捉えます。
表示: 青ライン（上昇）、赤ライン（下落）。過去のラインはグレー（サポレジ転換の目安）として残ります。
2. 3本の20SMA
チャートの時間足に合わせて、自動で最適な3本のSMAを描画します。
短期（黒）: 15分足20MA（1時間足チャート時）。今の勢いを表し、押し目買いの目印になります。
中期（青）: 表示中の時間足の20MA。
長期（赤）: 上位足の20MA。
3. 3つのダッシュボード（信号機）
右側に表示される3つのパーツが、トレードの「Go/No-Go」を判定します。
① 右上パネル：長期構造シグナル
日足と4時間足の構造を比較します。ここが「青」なら、大きな流れは上向きです。
② 右中央のバー：モーメンタム・シグナル（真ん中のテーブル）
1時間足のSMA10とSMA20の同期を表します。
青: SMA10 ＞ SMA20（上昇加速中）
赤: SMA10 ＜ SMA20（下落加速中）
役割: 構造が良くても、勢いが死んでいる（レンジ）時はエントリーを避けるための「最終フィルター」です。
③ 右下パネル：短期構造シグナル
1時間足と15分足の構造を比較します。ここが「青」に変わる瞬間が、エントリーの準備段階です。
4. エントリーサイン「●」
「長期・中期（真ん中のバー）・短期」すべての色が揃った瞬間にチャートに「●」が出現します。 すべての時間軸の投資家が同じ方向を向いた「完璧な同調」を示しており、最も期待値の高いエントリーポイントとなります。
Quantum Flow [JOAT]Quantum Flow Nexus - Advanced Multi-Dimensional Flow Analysis
Overview
Quantum Flow Nexus is an open-source overlay indicator that combines custom EMA-based flow calculations with order flow analysis, multi-timeframe correlation, and liquidity zone detection. It provides traders with a structured framework for analyzing market momentum and identifying potential entry points based on multiple confirming factors.
What This Indicator Does
The indicator calculates several analytical components:
Quantum Flow Oscillator - A custom oscillator built from multiple EMA layers at different depths
Flow Momentum - Rate of change of the flow oscillator
Order Flow Delta - Buy vs sell volume pressure estimation
Smart Money Index - Volume-weighted directional bias metric
Multi-Timeframe Entanglement - Price correlation across 15m and 60m timeframes
Liquidity Zones - Historical swing high/low levels with volume significance
Wave Function State - Momentum-based decisiveness detection
How It Works
The core quantum oscillator uses a custom EMA calculation with depth layering:
quantumOscillator(series float src, simple int len, simple int depth) =>
float osc = 0.0
for i = 1 to depth
int fastLen = len / i
int slowLen = len * i
float emaFast = quantumEMA(src, fastLen)
float emaSlow = quantumEMA(src, slowLen)
osc += (emaFast - emaSlow) / depth
osc
This creates a multi-layered view of momentum by comparing EMAs at progressively different speeds.
Signal Generation
Basic signals occur when:
Bullish: Flow crosses above lower band + positive momentum + positive order flow delta
Bearish: Flow crosses below upper band + negative momentum + negative order flow delta
Strong signals require additional confirmation:
Smart Money Index above/below threshold (50/-50)
Entanglement score above 50%
Wave function in collapsed state (decisive momentum)
Confluence Score Calculation
The indicator combines multiple factors into a single confluence percentage:
float confluenceScore = (flowStrength * 20 + entanglementScore * 0.3 + math.abs(orderFlowDelta) * 0.5) / 3
Dashboard Panel (Top-Right)
Flow Strength - Distance from center line normalized by standard deviation
Momentum - Current rate of change of flow
Trend - BULLISH/BEARISH/NEUTRAL based on flow vs EMA
Confluence Score - Combined factor percentage
Order Flow Delta - Buy/sell pressure percentage
Entanglement - Multi-timeframe correlation score
Wave State - COLLAPSED or SUPERPOSITION
Signal - Current actionable status
Visual Elements
Flow Lines - Center flow line with upper/lower bands
Quantum Zones - Filled areas between bands showing bullish/bearish zones
3D Quantum Field - Five oscillating layers creating depth visualization
Order Flow Blocks - Boxes highlighting significant order flow imbalances
Liquidity Heatmap - Dashed lines at significant historical levels
Signal Markers - Triangles for basic signals, labels for strong signals
Input Parameters
Flow Period (default: 21) - Base period for flow calculations
Quantum Depth (default: 3) - Number of EMA layers
Sensitivity (default: 1.5) - Band width multiplier
Liquidity Max Levels (default: 8) - Maximum liquidity zones displayed
Liquidity Min Strength Ratio (default: 0.10) - Minimum volume significance
Suggested Use Cases
Identify momentum direction using flow oscillator position
Confirm entries with order flow and smart money readings
Use liquidity zones as potential support/resistance areas
Wait for strong signals with multiple factor confirmation
Timeframe Recommendations
Effective on 15m to Daily charts. Lower timeframes may produce more signals with higher noise levels.
Limitations
Order flow is estimated from candle structure, not actual order book data
Multi-timeframe requests add processing time
Liquidity zones are based on historical pivots and may not reflect current market structure
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy
WHAT THIS STRATEGY IS
CryptoFlux Dynamo is an open-source Pine Script v6 strategy designed for momentum-based scalping on cryptocurrency perpetual futures. It combines multiple technical analysis methods into a unified system that adapts its behavior based on current market volatility conditions.
This script is published open-source so you can read, understand, and modify the complete logic. The description below explains everything the strategy does so that traders who cannot read Pine Script can fully understand how it works before using it.
HOW THIS STRATEGY IS ORIGINAL AND WHY THE INDICATORS ARE COMBINED
This strategy uses well-known indicators (MACD, EMA, RSI, MFI, Bollinger Bands, Keltner Channels, ATR). The originality is not in the individual indicators themselves, but in the specific way they are integrated into a regime-adaptive system. Here is the detailed justification for why these components are combined and how they work together:
The Problem Being Solved:
Standard indicator-based strategies use fixed thresholds. For example, a typical MACD strategy might enter when the histogram crosses above zero. However, in cryptocurrency markets, volatility changes dramatically throughout the day and week. A MACD crossover during a low-volatility consolidation period has very different implications than the same crossover during a high-volatility trending period. Using the same entry thresholds and stop distances in both conditions leads to either:
Too many false signals during consolidation (if thresholds are loose)
Missing valid opportunities during expansion (if thresholds are tight)
Stops that are too tight during volatility spikes (causing premature exits)
Stops that are too wide during compression (giving back profits)
The Solution Approach:
This strategy first classifies the current volatility regime using normalized ATR (ATR as a percentage of price), then dynamically adjusts ALL other parameters based on that classification. This creates a context-aware system rather than a static threshold comparison.
How Each Component Contributes to the System:
ATR-Based Regime Classification (The Foundation)
The strategy calculates ATR over 21 periods, smooths it with a 13-period EMA to reduce noise from wicks, then divides by price to get a normalized percentage. This ATR% is classified into three regimes:
- Compression (ATR% < 0.8%): Market is consolidating, breakouts are more likely but false signals are common
- Expansion (ATR% 0.8% - 1.6%): Normal trending conditions
- Velocity (ATR% > 1.6%): High volatility, larger moves but also larger adverse excursions
This regime classification then controls stop distances, profit targets, trailing stop offsets, and signal strength requirements. The regime acts as a "meta-parameter" that tunes the entire system.
EMA Ribbon (8/21/34) - Trend Structure Detection
The three EMAs establish trend direction and structure. When EMA 8 > EMA 21 > EMA 34, the trend structure is bullish. The slope of the middle EMA (21) is calculated over 8 bars and converted to degrees using arctangent. This slope measurement quantifies trend strength, not just direction.
Why these specific periods? The 8/21/34 sequence follows Fibonacci-like spacing and provides good separation on 5-minute cryptocurrency charts. The fast EMA (8) responds to immediate price action, the mid EMA (21) represents the short-term trend, and the slow EMA (34) acts as a trend filter.
The EMA ribbon works with the regime classification: during compression regimes, the strategy requires stronger ribbon alignment before entry because false breakouts are more common.
MACD (8/21/5) - Momentum Measurement
The MACD uses faster parameters (8/21/5) than the standard (12/26/9) because cryptocurrency markets move faster than traditional markets. The histogram is smoothed with a 5-period EMA to reduce noise.
The key innovation is the adaptive histogram baseline. Instead of using a fixed threshold, the strategy calculates a rolling baseline from the smoothed absolute histogram value, then multiplies by a sensitivity factor (1.15). This means the threshold for "significant momentum" automatically adjusts based on recent momentum levels.
The MACD works with the regime classification: during velocity regimes, the histogram baseline is effectively higher because recent momentum has been stronger, preventing entries on relatively weak momentum.
RSI (21 period) and MFI (21 period) - Independent Momentum Confirmation
RSI measures momentum using price changes only. MFI (Money Flow Index) measures momentum using price AND volume. By requiring both to confirm, the strategy filters out price moves that lack volume support.
The 21-period length is longer than typical (14) to reduce noise on 5-minute charts. The trigger threshold (55 for longs, 45 for shorts) is slightly offset from 50 to require momentum in the trade direction, not just neutral readings.
These indicators work together: a signal requires RSI > 55 AND MFI > 55 for longs. This dual confirmation reduces false signals from price manipulation or low-volume moves.
Bollinger Bands (1.5 mult) and Keltner Channels (1.8 mult) - Squeeze Detection
When Bollinger Bands contract inside Keltner Channels, volatility is compressing and a breakout is likely. This is the "squeeze" condition. When the bands expand back outside the channels, the squeeze "releases."
The strategy uses a 1.5 multiplier for Bollinger Bands (tighter than standard 2.0) and 1.8 for Keltner Channels. These values were chosen to identify meaningful squeezes on 5-minute cryptocurrency charts without triggering too frequently.
The squeeze detection works with the regime classification: squeeze releases during compression regimes receive additional signal strength points because breakouts from consolidation are more significant.
Volume Impulse Detection - Institutional Participation Filter
The strategy calculates a volume baseline (34-period SMA) and standard deviation. A "volume impulse" is detected when current volume exceeds the baseline by 1.15x OR when the volume z-score exceeds 0.5.
This filter ensures entries occur when there is meaningful market participation, not during low-volume periods where price moves are less reliable.
Volume impulse is required for all entries and adds points to the composite signal strength score.
Cycle Oscillator - Trend Alignment Filter
The strategy calculates a 55-period EMA as a cycle basis, then measures price deviation from this basis as a percentage. When price is more than 0.15% above the cycle basis, the cycle is bullish. When more than 0.15% below, the cycle is bearish.
This filter prevents counter-trend entries. Long signals require bullish cycle alignment; short signals require bearish cycle alignment.
BTC Dominance Filter (Optional) - Market Regime Filter
The strategy can optionally use BTC.D (Bitcoin Dominance) as a market regime filter. When BTC dominance is rising (slope > 0.12), the market is in "risk-off" mode and long entries on altcoins are filtered. When dominance is falling (slope < -0.12), short entries are filtered.
This filter is optional because the BTC.D data feed may lag during low-liquidity periods.
How The Components Work Together (The Mashup Justification):
The strategy uses a composite scoring system where each signal pathway contributes points:
Trend Break pathway (30 points): Requires EMA ribbon alignment + positive slope + price breaks above recent structure high
Momentum Surge pathway (30 points): Requires MACD histogram > adaptive baseline + MACD line > signal + RSI > 55 + MFI > 55 + volume impulse
Squeeze Release pathway (25 points): Requires BB inside KC (squeeze) then release + momentum bias + histogram confirmation
Micro Pullback pathway (15 points): Requires shallow retracement to fast EMA within established trend + histogram confirmation + volume impulse
Additional modifiers:
+5 points if volume impulse is present, -5 if absent
+5 points in velocity regime, -2 in compression regime
+5 points if cycle is aligned, -5 if counter-trend
A trade only executes when the composite score reaches the minimum threshold (default 55) AND all filters agree (session, cycle bias, BTC dominance if enabled).
This scoring system is the core innovation: instead of requiring ALL conditions to be true (which would generate very few signals) or ANY condition to be true (which would generate too many false signals), the strategy requires ENOUGH conditions to be true, with different conditions contributing different weights based on their reliability.
HOW THE STRATEGY CALCULATES ENTRIES AND EXITS
Entry Logic:
1. Calculate current volatility regime from ATR%
2. Calculate all indicator values (MACD, EMA, RSI, MFI, squeeze, volume)
3. Evaluate each signal pathway and sum points
4. Check all filters (session, cycle, dominance, kill switch)
5. If composite score >= 55 AND all filters pass, generate entry signal
6. Calculate position size based on risk per trade and regime-adjusted stop distance
7. Execute entry with regime name as comment
Position Sizing Formula:
RiskCapital = Equity * (0.65 / 100)
StopDistance = ATR * StopMultiplier(regime)
RawQuantity = RiskCapital / StopDistance
MaxQuantity = Equity * (12 / 100) / Price
Quantity = min(RawQuantity, MaxQuantity)
Quantity = round(Quantity / 0.001) * 0.001
This ensures each trade risks approximately 0.65% of equity regardless of volatility, while capping total exposure at 12% of equity.
Stop Loss Calculation:
Stop distance is ATR multiplied by a regime-specific multiplier:
Compression regime: 1.05x ATR (tighter stops because moves are smaller)
Expansion regime: 1.55x ATR (standard stops)
Velocity regime: 2.1x ATR (wider stops to avoid premature exits during volatility)
Take Profit Calculation:
Target distance is ATR multiplied by regime-specific multiplier and base risk/reward:
Compression regime: 1.6x ATR * 1.8 base R:R * 0.9 regime bonus = approximately 2.6x ATR
Expansion regime: 2.05x ATR * 1.8 base R:R * 1.0 regime bonus = approximately 3.7x ATR
Velocity regime: 2.8x ATR * 1.8 base R:R * 1.15 regime bonus = approximately 5.8x ATR
Trailing Stop Logic:
When adaptive trailing is enabled, the strategy calculates a trailing offset based on ATR and regime:
Compression regime: 1.1x base offset (looser trailing to avoid noise)
Expansion regime: 1.0x base offset (standard)
Velocity regime: 0.8x base offset (tighter trailing to lock in profits during fast moves)
The trailing stop only activates when it would be tighter than the initial stop.
Momentum Fail-Safe Exits:
The strategy closes positions early if momentum reverses:
Long positions close if MACD histogram turns negative OR EMA ribbon structure breaks (fast EMA crosses below mid EMA)
Short positions close if MACD histogram turns positive OR EMA ribbon structure breaks
This prevents holding through momentum reversals even if stop loss hasn't been hit.
Kill Switch:
If maximum drawdown exceeds 6.5%, the strategy disables new entries until manually reset. This prevents continued trading during adverse conditions.
HOW TO USE THIS STRATEGY
Step 1: Apply to Chart
Use a 5-minute chart of a high-liquidity cryptocurrency perpetual (BTC/USDT, ETH/USDT recommended)
Ensure at least 200 bars of history are loaded for indicator stabilization
Use standard candlestick charts only (not Heikin Ashi, Renko, or other non-standard types)
Step 2: Understand the Visual Elements
EMA Ribbon: Three lines (8/21/34 periods) showing trend structure. Bullish when stacked upward, bearish when stacked downward.
Background Color: Shows current volatility regime
- Indigo/dark blue = Compression (low volatility)
- Purple = Expansion (normal volatility)
- Magenta/pink = Velocity (high volatility)
Bar Colors: Reflect signal strength divergence. Brighter colors indicate stronger directional bias.
Triangle Markers: Entry signals. Up triangles below bars = long entry. Down triangles above bars = short entry.
Dashboard (top-right): Real-time display of regime, ATR%, signal strengths, position status, stops, targets, and risk metrics.
Step 3: Interpret the Dashboard
Regime: Current volatility classification (Compression/Expansion/Velocity)
ATR%: Normalized volatility as percentage of price
Long/Short Strength: Current composite signal scores (0-100)
Cycle Osc: Price deviation from 55-period EMA as percentage
Dominance: BTC.D slope and filter status
Position: Current position direction or "Flat"
Stop/Target: Current stop loss and take profit levels
Kill Switch: Status of drawdown protection
Volume Z: Current volume z-score
Impulse: Whether volume impulse condition is met
Step 4: Adjust Parameters for Your Needs
For more conservative trading: Increase "Minimum Composite Signal Strength" to 65 or higher
For more aggressive trading: Decrease to 50 (but expect more false signals)
For higher timeframes (15m+): Increase "Structure Break Window" to 12-15, increase "RSI Momentum Trigger" to 58
For lower liquidity pairs: Increase "Volume Impulse Multiplier" to 1.3, increase slippage in strategy properties
To disable short selling: Uncheck "Enable Short Structure"
To disable BTC dominance filter: Uncheck "BTC Dominance Confirmation"
STRATEGY PROPERTIES (BACKTEST SETTINGS)
These are the exact settings used in the strategy's Properties dialog box. You must use these same settings when evaluating the backtest results shown in the publication:
Initial Capital: $100,000
Justification: This amount is higher than typical retail accounts. I chose this value to demonstrate percentage-based returns that scale proportionally. The strategy uses percentage-based position sizing (0.65% risk per trade), so a $10,000 account would see the same percentage returns with 10x smaller position sizes. The absolute dollar amounts in the backtest should be interpreted as percentages of capital.
Commission: 0.04% (commission_value = 0.04)
Justification: This reflects typical perpetual futures exchange fees. Major exchanges charge between 0.02% (maker) and 0.075% (taker). The 0.04% value is a reasonable middle estimate. If your exchange charges different fees, adjust this value accordingly. Higher fees will reduce net profitability.
Slippage: 1 tick
Justification: This is conservative for liquid pairs like BTC/USDT on major exchanges during normal conditions. For less liquid altcoins or during high volatility, actual slippage may be higher. If you trade less liquid pairs, increase this value to 2-3 ticks for more realistic results.
Pyramiding: 1
Justification: No position stacking. The strategy holds only one position at a time. This simplifies risk management and prevents overexposure.
calc_on_every_tick: true
Justification: The strategy evaluates on every price update, not just bar close. This is necessary for scalping timeframes where waiting for bar close would miss opportunities. Note that this setting means backtest results may differ slightly from bar-close-only evaluation.
calc_on_order_fills: true
Justification: The strategy recalculates immediately after order fills for faster response to position changes.
RISK PER TRADE JUSTIFICATION
The default risk per trade is 0.65% of equity. This is well within the TradingView guideline that "risking more than 5-10% on a trade is not typically considered viable."
With the 12% maximum exposure cap, even if the strategy takes multiple consecutive losses, the total risk remains manageable. The kill switch at 6.5% drawdown provides additional protection by halting new entries during adverse conditions.
The position sizing formula ensures that stop distance (which varies by regime) is accounted for, so actual risk per trade remains approximately 0.65% regardless of volatility conditions.
SAMPLE SIZE CONSIDERATIONS
For statistically meaningful backtest results, you should select a dataset that generates at least 100 trades. On 5-minute BTC/USDT charts, this typically requires:
2-3 months of data during normal market conditions
1-2 months during high-volatility periods
3-4 months during low-volatility consolidation periods
The strategy's selectivity (requiring 55+ composite score plus all filters) means it generates fewer signals than less filtered approaches. If your backtest shows fewer than 100 trades, extend the date range or reduce the minimum signal strength threshold.
Fewer than 100 trades produces statistically unreliable results. Win rate, profit factor, and other metrics can vary significantly with small sample sizes.
STRATEGY DESIGN COMPROMISES AND LIMITATIONS
Every strategy involves trade-offs. Here are the compromises made in this design and the limitations you should understand:
Selectivity vs. Opportunity Trade-off
The 55-point minimum threshold filters many potential trades. This reduces false signals but also misses valid setups that don't meet all criteria. Lowering the threshold increases trade frequency but decreases win rate. There is no "correct" threshold; it depends on your preference for fewer higher-quality signals vs. more signals with lower individual quality.
Regime Classification Lag
The ATR-based regime detection uses historical data (21 periods + 13-period smoothing). It cannot predict sudden volatility spikes. During flash crashes or black swan events, the strategy may be classified in the wrong regime for several bars before the classification updates. This is an inherent limitation of any lagging indicator.
Indicator Parameter Sensitivity
The default parameters (MACD 8/21/5, EMA 8/21/34, RSI 21, etc.) are tuned for BTC/ETH perpetuals on 5-minute charts during 2024 market conditions. Different assets, timeframes, or market regimes may require different parameters. There is no guarantee that parameters optimized on historical data will perform similarly in the future.
BTC Dominance Filter Limitations
The CRYPTOCAP:BTC.D data feed may lag during low-liquidity periods or weekends. The dominance slope calculation uses a 5-bar SMA, adding additional delay. If you notice the filter behaving unexpectedly, consider disabling it.
Backtest vs. Live Execution Differences
TradingView backtesting does not replicate actual broker execution. Key differences:
Backtests assume perfect fills at calculated prices; real execution involves order book depth, latency, and partial fills
The calc_on_every_tick setting improves backtest realism but still cannot capture sub-bar price action or order book dynamics
Commission and slippage settings are estimates; actual costs vary by exchange, time of day, and market conditions
Funding rates on perpetual futures are not modeled in backtests and can significantly impact profitability over time
Exchange-specific limitations (position limits, liquidation mechanics, order types) are not modeled
Market Condition Dependencies
This strategy is designed for trending and breakout conditions. During extended sideways consolidation with no clear direction, the strategy may generate few signals or experience whipsaws. No strategy performs well in all market conditions.
Cryptocurrency-Specific Risks
Cryptocurrency markets operate 24/7 without session boundaries. This means:
No natural "overnight" risk reduction
Volatility can spike at any time
Liquidity varies significantly by time of day
Exchange outages or issues can occur at any time
WHAT THIS STRATEGY DOES NOT DO
To be straightforward about limitations:
This strategy does not guarantee profits. Past backtest performance does not indicate future results.
This strategy does not predict the future. It reacts to current conditions based on historical patterns.
This strategy does not account for funding rates, which can significantly impact perpetual futures profitability.
This strategy does not model exchange-specific execution issues (partial fills, requotes, outages).
This strategy does not adapt to fundamental news events or black swan scenarios.
This strategy is not optimized for all market conditions. It may underperform during extended consolidation.
IMPORTANT RISK WARNINGS
Past performance does not guarantee future results. The backtest results shown reflect specific historical market conditions and parameter settings. Markets change constantly, and strategies that performed well historically may underperform or lose money in the future. A single backtest run does not constitute proof of future profitability.
Trading involves substantial risk of loss. Cryptocurrency derivatives are highly volatile instruments. You can lose your entire investment. Only trade with capital you can afford to lose completely.
This is not financial advice. This strategy is provided for educational and informational purposes only. It does not constitute investment advice, trading recommendations, or any form of financial guidance. The author is not a licensed financial advisor.
You are responsible for your own decisions. Before using this strategy with real capital:
Thoroughly understand the code and logic by reading the open-source implementation
Forward test with paper trading or very small positions for an extended period
Verify that commission, slippage, and execution assumptions match your actual trading environment
Understand that live results will differ from backtest results
Consider consulting with a qualified financial advisor
No guarantees or warranties. This strategy is provided "as is" without any guarantees of profitability, accuracy, or suitability for any purpose. The author is not responsible for any losses incurred from using this strategy.
OPEN-SOURCE CODE STRUCTURE
The strategy code is organized into these sections for readability:
Configuration Architecture: Input parameters organized into logical groups (Core Controls, Optimization Constants, Regime Intelligence, Signal Pathways, Risk Architecture, Visualization)
Helper Functions: calcQty() for position sizing, clamp01() and normalize() for value normalization, calcMFI() for Money Flow Index calculation
Core Indicator Engine: EMA ribbon, ATR and regime classification, MACD with adaptive baseline, RSI, MFI, volume analytics, cycle oscillator, BTC dominance filter, squeeze detection
Signal Pathway Logic: Trend break, momentum surge, squeeze release, micro pullback pathways with composite scoring
Entry/Exit Orchestration: Signal filtering, position sizing, entry execution, stop/target calculation, trailing stop logic, momentum fail-safe exits
Visualization Layer: EMA plots, regime background, bar coloring, signal labels, dashboard table
You can read and modify any part of the code. Understanding the logic before deployment is strongly recommended.
- Made with passion by officialjackofalltrades
KAMA Oscillator | IkkeOmarThis script transforms the Kaufman Adaptive Moving Average (KAMA) into an oscillator format, designed to visualize trend direction with reduced noise sensitivity. It operates in two modes: a Raw mode that tracks price levels directly, and a Normalized mode that bounds the oscillator between -1 and +1 for easier comparison across assets.
The calculations are the same as for the Normalized KAMA Oscillator, but I added a few features that users of the old version wouldn't necessarily want.
How it works
Efficiency Ratio (ER): The script calculates the "efficiency" of price movement by comparing the net direction of price to the total volatility over a set period.
Adaptive Smoothing:
When volatility is high but direction is unclear (choppy), the KAMA slows down to filter noise.
When price trends clearly, the KAMA speeds up to track the move.
Normalization (Optional): If enabled, the script takes the raw KAMA value and scales it relative to its highest and lowest points over the Normalization lookback period. The result oscillates between -1 (extreme low) and +1 (extreme high).
The SMA Signal Logic
The script allows you to overlay an SMA (Simple Moving Average) on the oscillator. This serves as a dynamic baseline for the oscillator's momentum.
Signal Generation: A signal is generated when the KAMA Oscillator crosses its SMA.
Bullish: Oscillator crosses above the SMA.
Bearish: Oscillator crosses below the SMA.
Lag vs. Noise Trade-off:
Advantage (Reduced Lag): Crossing the SMA often triggers a signal earlier than waiting for the oscillator to change color (slope change) or cross the zero line. It identifies when immediate momentum is outperforming the recent average.
Risk (Increased Noise): During consolidation, the oscillator will hover close to the SMA line. This increases the probability of "whipsaws" (false signals) where the line crosses back and forth rapidly without a sustained trend. This signal is aggressive and should be used with trend filters.
CPR PROCPR Pro - Central Pivot Range Indicator
A complete CPR trading toolkit with multi-timeframe support.
█ FEATURES
- CPR Zone (TC, BC, PP) - Daily, Weekly, or Monthly
- Support & Resistance Levels (S1-S3, R1-R3)
- Virgin CPR Detection - Highlights untested CPR zones (yellow)
- CPR Width Analysis - Narrow (breakout) vs Wide (range) days
- VWAP with 10 anchor options
- Trend EMA
- Dashboard with real-time bias & levels
- Customizable colors per timeframe
█ HOW TO USE
- BULLISH: Price above CPR - look for longs
- BEARISH: Price below CPR - look for shorts
- VIRGIN CPR: Untested zones = strong magnets
- NARROW CPR: Expect breakout day
- WIDE CPR: Expect range day
█ COLORS
- Daily CPR: Blue
- Weekly CPR: Green
- Monthly CPR: Orange
- Virgin CPR: Yellow
Rachev Regime AnalyzerRachev Regime Analyzer ~ GForge
What It Does
Measures the ratio of extreme gains to extreme losses to identify whether markets favor bulls or bears. When your best moves are bigger than your worst moves, conditions are bullish. When the opposite is true, conditions are bearish.
Simple Interpretation:
Ratio > 1.2 → Bullish regime (tail gains exceed tail losses)
Ratio < 0.8 → Bearish regime (tail losses exceed tail gains)
Between → Neutral/transitional
Key Features
Two Modes:
Single Asset: Analyze current chart
Multi-Asset: Aggregate regime across 5 assets with custom weights (great for gauging overall crypto/market conditions)
Customizable:
Lookback period (20-200 bars)
Tail percentile (what counts as "extreme")
Bullish/bearish thresholds
6 color schemes
Optional MA smoothing
Visual Signals:
Buy/sell markers at threshold crosses
Background regime coloring
Info table with current values and confidence score
Configurable alerts
How to Use
Choose lookback period based on your timeframe (40-60 bars is a good start)
Watch for threshold crosses - these mark regime changes
Check confidence score - higher = more reliable
Use multi-asset mode to see if entire market is shifting (not just one coin)
Best combined with: Trend indicators, support/resistance, volume analysis
Parameters
Lookback: More bars = smoother, less responsive
Alpha (0.10): Defines extreme events - lower = more extreme
Thresholds: Adjust based on asset volatility
Return Type: Log returns recommended for most assets
What Makes It Useful
Unlike simple volatility measures, this shows asymmetry - whether extreme moves favor upside or downside. A ratio of 1.5 means your extreme gains are 50% larger than extreme losses - that's actionable information about risk-reward dynamics.
Multi-asset aggregation is particularly powerful for crypto traders wanting to gauge if BTC, ETH, SOL, etc. are all showing similar regime characteristics.
Disclaimer
Educational tool only. Not financial advice. Use proper risk management. No indicator works in isolation - always consider broader market context.
Developed by GForge
Comments and feedback welcome! 👍
CVD Divergence Detector# CVD Divergence Detector
Clean, focused divergence detection using **Cumulative Volume Delta (CVD)** - one of the most reliable reversal signals in trading.
## 🎯 What It Does
Identifies divergences between **price action** and **volume delta**:
**🔻 Bearish Divergence**: Price makes Higher High, but CVD doesn't → Expect reversal DOWN
**🔺 Bullish Divergence**: Price makes Lower Low, but CVD doesn't → Expect reversal UP
## ✨ Key Features
### Two Detection Modes
**1. Confirmed Divergences** (High Accuracy)
- Solid red/green lines
- Labels: 🔻 Bear / 🔺 Bull
- Fully confirmed pivots (9 bars default)
- Win rate: ~70-80%
**2. Early Warning Mode** ⚡ (Fast Signals)
- Dashed yellow lines
- Labels: ⚠️ Early Bear / ⚠️ Early Bull
- Fires 6+ bars earlier (3 bars default)
- Win rate: ~55-65%
### Smart Filtering
- Minimum bars between signals (prevents spam)
- Minimum CVD strength requirement (filters weak signals)
- Adjustable pivot periods for any timeframe
### Four Alert Types
- 🔻 Confirmed Bearish Divergence
- 🔺 Confirmed Bullish Divergence
- ⚠️ Early Bearish Warning
- ⚠️ Early Bullish Warning
## ⚙️ Recommended Settings
**15m Day Trading** (Best for most traders):
```
Pivot Left/Right: 9
Early Warning Right: 3
Min Bars Between: 40
Min CVD Diff: 5%
Anchor TF: 1D
```
**5m Scalping**:
```
Pivot Left/Right: 7
Early Warning Right: 2
Min Bars Between: 60
Min CVD Diff: 5%
```
**1H Swing Trading**:
```
Pivot Left/Right: 12-14
Early Warning Right: 4-5
Min Bars Between: 30
Min CVD Diff: 8%
```
## 💡 Trading Strategies
### Strategy 1: Early Entry (Scalpers)
- ⚠️ Early warning → Enter immediately
- Stop: Just beyond pivot
- Target: 1:2 R/R minimum
- Trades/day: 3-8
### Strategy 2: Scale In (Day Traders)
- ⚠️ Early warning → 25% position
- 🔻 Confirmed → Add 75%
- Move stop to breakeven
- Trades/week: 5-15
### Strategy 3: Confirmation Only (Swing Traders)
- Wait for 🔻 confirmed signal only
- Wider stops (1-2 ATR)
- Hold for bigger moves
- Trades/month: 8-20
## 🎯 How to Use
1. **Install** indicator on your chart
2. **Choose** your timeframe (15m recommended to start)
3. **Enable** Early Warning for faster signals OR disable for confirmed only
4. **Set alerts** for your preferred divergence types
5. **Combine** with support/resistance for best results
## 🔧 Tuning Guide
**Too many signals?**
- Increase Pivot Right to 12-15
- Increase Min Bars Between to 60
- Increase Min CVD Diff to 8-10%
**Signals too slow?**
- Enable Early Warning
- Decrease Early Warning Right to 2
- Decrease Pivot Right to 6-7
**Want cleaner chart?**
- Turn off labels (lines only)
- Disable early warnings (confirmed only)
## ⚠️ Important Notes
**Requirements:**
- Volume data required (works on futures, stocks, crypto)
- May not work on some forex pairs (broker-dependent)
**Performance:**
- No indicator is 100% accurate
- Always use proper risk management
- Combine with price action and S/R levels
- Quality over quantity - don't trade every signal
**Best Results:**
- Divergence AT support/resistance = high probability
- Divergence + trend reversal pattern = confluence
- Multiple timeframe confirmation = strongest signals
## 📊 What Makes This Different?
**Other divergence indicators:**
- Use RSI, MACD, or other oscillators
- Don't show actual order flow
- Often give false signals
**This indicator:**
- Uses real CVD (Cumulative Volume Delta)
- Shows actual buying/selling pressure
- Filters for quality (not quantity)
- Two modes: fast OR accurate (your choice)
- No clutter - just clean divergence lines
## 🚀 Quick Start
1. Add to chart
2. Default settings work well for 15m
3. Watch for 1 week before trading
4. Start with small size
5. Track your results
## 📈 Typical Performance
| Mode | Win Rate | Avg R/R | Best For |
|------|----------|---------|----------|
| Early Warning | 55-65% | 1:1.5 | Scalping |
| Confirmed | 70-80% | 1:2 | Swing trading |
| Both (Scale In) | 65-75% | 1:3 | Day trading |
| With Confluence | 75-85% | 1:3+ | All styles |
## 💬 Tips from Pro Traders
- "Use early warnings for entries, confirmed for validation"
- "Best at major S/R levels - skip divergences in the middle of nowhere"
- "Lower timeframes = more signals but lower quality"
- "On 15m chart, early warnings give you 1.5 hour head start"
- "Combine with volume spikes for highest probability"
## 🔔 Alert Setup
1. Click Alert button (⏰)
2. Choose "CVD Divergence Detector"
3. Select alert type
4. Configure notifications
5. Done!
## ⚙️ Settings Explained
**Delta Source:**
- Anchor Timeframe: Higher TF for CVD calculation (1D for day trading)
- Custom Lower TF: Advanced users only
**Pivot Logic:**
- Pivot Left/Right: How many bars to confirm pivot
- Early Warning Right: How fast early signals fire
- Min Bars Between: Prevents signal spam
- Min CVD Diff %: Filters weak divergences
**Visual:**
- Show Lines/Labels: Toggle display
- Colors: Customize to your preference
- Label Size: Adjust for readability
## ❓ FAQ
**Q: No signals appearing?**
- Check volume data is available
- Lower Min CVD Diff to 2-3%
- Lower Pivot Right to 5-7
**Q: Too many signals?**
- Increase filters (see Tuning Guide above)
- Turn off early warnings
- Use confirmed only
**Q: Signals too late?**
- Enable Early Warning mode
- Decrease Early Warning Right to 2-3
**Q: Works on crypto/forex?**
- Crypto: Yes (major pairs)
- Forex: Sometimes (depends on broker volume data)
- Futures/Stocks: Yes (best performance)
## 📚 Learn More
For detailed strategies, examples, and advanced techniques, check the full user guide.
---
**Remember:** This is a tool, not a crystal ball. Combine with:
- Price action analysis
- Support/resistance levels
- Risk management
- Proper position sizing
**The best trade is the one you don't force.** 🎯
---
## 📝 Version Info
**v1.0** - Initial Release
- Confirmed divergence detection
- Early warning mode
- Smart filtering system
- Four alert types
- Clean visual design
---
**Questions? Suggestions?** Drop a comment below! 👇
**Found this helpful?** Like and follow for more professional indicators! ⭐
Squeeze Momentum with Trend Exhaustion# Squeeze Momentum + Trend Exhaustion Indicator
## Complete User Manual
---
## Table of Contents
1. (#what-this-indicator-does)
2. (#visual-components)
3. (#market-states)
4. (#how-to-read-signals)
5. (#trading-examples)
6. (#configuration-guide)
7. (#best-practices)
---
## What This Indicator Does
This indicator combines two powerful concepts to identify complete market cycles:
### 1. Squeeze Momentum (LazyBear)
Detects **volatility compression** (consolidation) and subsequent **expansion** (breakout).
**Think of it like:** A spring being compressed, then released.
### 2. Multi-Timeframe Trend Exhaustion
Measures how far price has moved from its moving averages across multiple timeframes.
**Think of it like:** A rubber band being stretched—eventually it must snap back.
### The Complete Cycle
```
Consolidation → Breakout → Trend → Exhaustion → Reversion → Consolidation
```
This indicator shows you exactly where you are in this cycle.
---
## Visual Components
### Main Panel (Bottom)
| Element | What It Looks Like | Meaning |
|---------|-------------------|---------|
| **Colored Bars** | Green/Red histogram | Momentum strength and direction |
| **Filled Area** | Yellow/Lime/Red gradient area | Price extension from moving averages |
| **Cross at Zero** | Black/Gray/Blue cross | Squeeze state (volatility) |
| **Dashed Lines** | Horizontal red/green lines | Extension thresholds (±2σ scaled) |
---
### 1. Momentum Histogram (Colored Bars)
| Color | Direction | Meaning |
|-------|-----------|---------|
| **Bright Green** (Lime) | Up ↑ | Strong bullish momentum (increasing) |
| **Dark Green** | Up ↑ | Weak bullish momentum (decreasing) |
| **Bright Red** | Down ↓ | Strong bearish momentum (increasing) |
| **Dark Red** (Maroon) | Down ↓ | Weak bearish momentum (decreasing) |
**Key insight:** When bars change from bright to dark, momentum is fading.
---
### 2. Extension Area (Filled Gradient)
Shows how extended price is from its moving averages across 5 timeframes (5m, 15m, 1h, 4h, Daily).
| Color | Position | Meaning |
|-------|----------|---------|
| **Red** | High above zero | Severely overbought (>2σ scaled) |
| **Orange/Yellow** | Above zero | Moderately overbought |
| **Lime/Green** | Below zero | Moderately oversold |
| **Teal** | Deep below zero | Severely oversold (<-2σ scaled) |
**The area is scaled 3x** for better visibility. Actual values shown in table.
**Reading it:**
- **Area touching upper dashed line** = Price very far above averages (exhaustion territory)
- **Area touching lower dashed line** = Price very far below averages (exhaustion territory)
- **Area near zero** = Price near its averages (normal/neutral)
---
### 3. Squeeze Indicator (Cross at Zero Line)
| Color | Status | Meaning |
|-------|--------|---------|
| **Black** ⚫ | Squeeze ON | Bollinger Bands inside Keltner Channels → Low volatility, consolidation |
| **Gray** ⚪ | Squeeze OFF | Bollinger Bands outside Keltner Channels → Volatility expanding, breakout |
| **Blue** 🔵 | No Squeeze | Normal volatility conditions |
**Critical:** The transition from Black → Gray is where explosive moves begin.
---
### 4. Entry/Exit Signals
| Symbol | Type | Meaning |
|--------|------|---------|
| 🔺 **Large Green Triangle** | HC Long Entry | High Confidence long setup (Squeeze OFF + Oversold + Confluence) |
| 🔻 **Large Red Triangle** | HC Short Entry | High Confidence short setup (Squeeze OFF + Overbought + Confluence) |
| 🔺 Small green | Medium Long | Long setup without full confluence |
| 🔻 Small red | Medium Short | Short setup without full confluence |
| ✕ Orange X | Exit Long | Close long positions (exhaustion detected) |
| ✕ Teal X | Exit Short | Close short positions (exhaustion detected) |
**Trade only the LARGE triangles** for highest probability setups.
---
## Market States
The indicator identifies 7 distinct market states shown in the info table.
### State 1: 💤 CONSOLIDATION
**Conditions:**
- Squeeze: ON (black cross)
- Extension: Near zero (±1σ)
- Momentum: Contracting
**What's happening:** Price is range-bound, volatility dying down. Spring is being compressed.
**Action:** **WAIT.** Do not trade. Set alerts for Squeeze OFF.
---
### State 2: ⚡ BREAKOUT BULL / BEAR
**Conditions:**
- Squeeze: OFF (gray cross) ← **Key trigger**
- Extension: Still moderate
- Momentum: Strong directional move (bright green or red bars)
**What's happening:** Volatility explosion. Spring released. This is the start of a new trend.
**Action:** **ENTER** in direction of momentum.
- ⚡ BREAKOUT BULL → Go LONG
- ⚡ BREAKOUT BEAR → Go SHORT
**Best scenario:** Breakout from oversold/overbought levels (confluence with exhaustion indicator).
---
### State 3: ↗️ TRENDING UP / ↘️ TRENDING DOWN
**Conditions:**
- Squeeze: OFF or No Squeeze
- Extension: Growing (1σ to 2σ)
- Momentum: Sustained strong bars
**What's happening:** Trend in progress. Price moving away from averages.
**Action:** **HOLD** positions. Let winners run. Don't fight the trend.
---
### State 4: ⚠️ EXTENDED UP / DOWN
**Conditions:**
- Extension: Above 2σ threshold
- Momentum: Still strong (bright bars)
- Confluence: May be weak
**What's happening:** Price stretched but still has power. Caution zone.
**Action:** **CAUTION.** Don't enter new positions. Tighten stops on existing positions.
---
### State 5: 🔴 EXHAUSTION BULL / 🟢 EXHAUSTION BEAR
**Conditions:**
- Extension: >2σ (touching dashed lines)
- Momentum: Fading (bright bars turning dark)
- Velocity: Decreasing
- Confluence: 3/5 or better
**What's happening:** Rubber band stretched to maximum. Trend running out of energy.
**Action:** **EXIT** positions.
- 🔴 EXHAUSTION BULL → Close LONGS, consider SHORT
- 🟢 EXHAUSTION BEAR → Close SHORTS, consider LONG
**This is the highest probability reversal signal.**
---
### State 6: ➡️ TRENDING (Neutral Direction)
**Conditions:**
- Price trending but without clear momentum direction changes
**Action:** **HOLD** or wait for clearer signals.
---
### State 7: — NEUTRAL
**Conditions:**
- Extension near zero
- No squeeze
- Weak momentum
**Action:** No trade. Wait for setup.
---
## How to Read Signals
### Perfect Long Entry (High Confidence ⭐)
**Requirements (all must be true):**
1. ⚫→⚪ Squeeze just turned OFF (gray cross)
2. 📊 Momentum bars bright GREEN and rising
3. 🔻 Extension area BELOW lower dashed line (oversold)
4. ⭐ Confluence: 3/5 or more timeframes agree (shown as "🔻" in table)
**Visual:** Large green triangle appears
**What this means:** Price was oversold across multiple timeframes, consolidated, and is now breaking out upward with fresh momentum.
**Entry:** Next candle after signal
**Stop Loss:** Below recent consolidation low
**Take Profit:** When extension area crosses back above zero, or when exit signal appears
---
### Perfect Short Entry (High Confidence ⭐)
**Requirements (all must be true):**
1. ⚫→⚪ Squeeze just turned OFF (gray cross)
2. 📊 Momentum bars bright RED and falling
3. 🔺 Extension area ABOVE upper dashed line (overbought)
4. ⭐ Confluence: 3/5 or more timeframes agree (shown as "🔺" in table)
**Visual:** Large red triangle appears
**What this means:** Price was overbought across multiple timeframes, consolidated, and is now breaking down with fresh momentum.
**Entry:** Next candle after signal
**Stop Loss:** Above recent consolidation high
**Take Profit:** When extension area crosses back below zero, or when exit signal appears
---
### Exit Signals
#### Exit Long (Orange X)
**Appears when:**
- Extension area reaches upper dashed line (>2σ)
- Momentum bars turning from bright green to dark green
- Price losing upward velocity
**Action:** Close 50-100% of position. Move stop to breakeven on remainder.
#### Exit Short (Teal X)
**Appears when:**
- Extension area reaches lower dashed line (<-2σ)
- Momentum bars turning from bright red to dark red
- Price losing downward velocity
**Action:** Close 50-100% of position. Move stop to breakeven on remainder.
---
### Medium Confidence Signals (Small Triangles)
These appear when squeeze is OFF and momentum is directional, but:
- Extension is only moderate (not extreme), OR
- Confluence is weak (<3/5 timeframes)
**How to trade:**
- Use smaller position size (50% of normal)
- Tighter stops
- Only take if other factors align (support/resistance, volume, etc.)
---
## Trading Examples
### Example 1: Classic Squeeze Play into Trend
```
Step 1: CONSOLIDATION (💤)
Chart: Price moving sideways for 10-20 candles
Indicator: Black cross at zero (Squeeze ON)
Extension: Yellow/Lime area near zero line
Action: Set alert for Squeeze OFF
Step 2: BREAKOUT (⚡)
Chart: Strong green candle breaks resistance
Indicator: Cross turns GRAY (Squeeze OFF)
Bright GREEN momentum bars appear
Extension area still near zero or slightly below
Signal: Large green triangle appears
Action: ENTER LONG
Stop loss below consolidation
Target: Extension upper line
Step 3: TRENDING (↗️)
Chart: Series of higher highs and higher lows
Indicator: Momentum bars stay bright green
Extension area rising toward upper line
Area color transitions yellow → orange → red
Action: HOLD, trailing stop
Step 4: EXHAUSTION (🔴)
Chart: Price makes new high but with smaller candle
Indicator: Extension area touches upper dashed line
Momentum bars turn DARK green (weakening)
Orange X appears
Table shows "EXHAUSTION BULL"
Action: EXIT position
Book profits
Step 5: REVERSION
Chart: Price falls back toward moving averages
Indicator: Extension area shrinks back toward zero
Red momentum bars appear
Action: Wait for next setup
```
**Result:** Caught the entire trend from breakout to exhaustion.
---
### Example 2: Failed Breakout (What NOT to Trade)
```
Situation:
- Squeeze OFF (gray cross) ✓
- Momentum bars bright green ✓
- BUT extension area ABOVE upper line (already overbought) ✗
- Confluence shows 1/5 (only one timeframe agrees) ✗
Indicator: Small green triangle (medium confidence) or no triangle
What happens: Price makes small move up, then reverses
Lesson: Don't chase extended moves even if squeeze fires.
Wait for price to be on the RIGHT SIDE of the extension lines.
```
---
### Example 3: Exhaustion Reversal Trade
```
Step 1: EXTENDED (⚠️)
Chart: Strong uptrend for days
Indicator: Extension area deep in red zone (>2σ)
Momentum still bright green but starting to shorten
Table: "EXTENDED UP" / "CAUTION LONG"
Action: Watch closely, tighten stops
Step 2: EXHAUSTION (🔴)
Chart: Price makes final push but with decreasing volume
Indicator: Momentum bars turn DARK green
Orange X appears
Table: "EXHAUSTION BULL" + "4/5 🔺"
Action: CLOSE any longs
Consider SHORT entry
Step 3: SQUEEZE FORMS (Optional)
Chart: Price starts consolidating
Indicator: Cross turns BLACK (Squeeze ON)
Extension area falling toward zero
Action: Wait for Squeeze OFF to confirm reversal
Step 4: BREAKOUT DOWN (⚡)
Indicator: Cross turns GRAY
Bright RED momentum bars
Large red triangle appears
Action: ENTER SHORT (reversal confirmed)
```
**Result:** Exited at the top, caught the reversal.
---
## Configuration Guide
### Recommended Settings by Timeframe
#### For 4H Charts (Swing Trading)
```
Squeeze Settings: (defaults are fine)
- BB Length: 20
- BB MultFactor: 2.0
- KC Length: 20
- KC MultFactor: 1.5
Exhaustion TFs:
- TF1: 15m
- TF2: 1h
- TF3: 4h
- TF4: 12h or Daily
- TF5: Daily or Weekly
Extension Threshold: 2.0σ
Min Confluence: 3/5
```
#### For 1H Charts (Day Trading)
```
Squeeze Settings: (defaults)
Exhaustion TFs:
- TF1: 5m
- TF2: 15m
- TF3: 1h
- TF4: 4h
- TF5: Daily
Extension Threshold: 2.0σ
Min Confluence: 3/5
```
#### For 15m Charts (Scalping)
```
Squeeze Settings:
- BB Length: 15
- KC Length: 15
Exhaustion TFs:
- TF1: 1m
- TF2: 5m
- TF3: 15m
- TF4: 1h
- TF5: 4h
Extension Threshold: 2.5σ (higher to avoid noise)
Min Confluence: 4/5 (more strict)
```
---
### Understanding the Table
Located in top-right corner:
| Row | Meaning |
|-----|---------|
| **Market State** | Current cycle phase (Consolidation/Breakout/Trending/Exhaustion) |
| **Squeeze** | 🔴 ON / 🟢 OFF / 🔵 No |
| **Momentum** | ↑ Bull / ↓ Bear / ~ Weak / — Neutral |
| **Extension** | Actual value in standard deviations (σ) - NOT scaled |
| **Confluence** | How many timeframes agree (X/5 🔺 or 🔻) |
| **Velocity** | Speed of extension change (↑ increasing, ↓ decreasing) |
| **ACTION** | What to do right now |
**Most important rows:**
1. **Market State** - Quick glance at current cycle
2. **Confluence** - Determines signal quality
3. **ACTION** - Direct guidance
---
## Best Practices
### ✅ DO
1. **Wait for High Confidence signals** (large triangles)
- Don't trade every small signal
- Quality over quantity
2. **Use the complete cycle**
- Enter on Breakout (⚡)
- Hold through Trending (↗️/↘️)
- Exit on Exhaustion (🔴/🟢)
3. **Respect confluence**
- 4/5 or 5/5 = Excellent probability
- 3/5 = Good probability
- 1-2/5 = Skip
4. **Combine with price action**
- Support/resistance levels
- Volume confirmation
- Candlestick patterns
5. **Set alerts**
- "Squeeze OFF" - Don't miss breakouts
- "HC Long Setup" / "HC Short Setup"
- "Exit Long" / "Exit Short"
6. **Scale positions**
- Enter 50% on signal
- Add 25% if extension confirms
- Add final 25% if momentum sustains
7. **Use proper risk management**
- Stop loss: Below/above consolidation
- Position size: 1-2% account risk
- Take profit: Extension targets or signals
---
### ❌ DON'T
1. **Don't trade Consolidation state**
- Black cross (Squeeze ON) = Wait mode
- No signals during consolidation
2. **Don't chase Extended moves**
- If extension already >2σ when Squeeze fires
- Even if momentum looks good
- Wait for reversion first
3. **Don't fight strong trends**
- If extension is growing and momentum strong
- Don't counter-trend trade
- Wait for exhaustion signals
4. **Don't ignore velocity**
- If velocity is ↑ and extension high = still dangerous
- If velocity is ↓ and extension high = safer reversal
5. **Don't trade low confluence**
- 1/5 or 2/5 = Different timeframes disagree
- High chance of false signal
6. **Don't use blindly**
- Check overall market context
- Major news events can override signals
- Trend on higher timeframe matters
7. **Don't overtrade**
- Good setups are rare (that's why they work)
- Wait for complete setup formation
---
## Quick Reference Card
### Signal Quality Checklist
**⭐⭐⭐ PERFECT SETUP (Trade this)**
- Squeeze just turned OFF (⚫→⚪)
- Momentum bright and directional
- Extension >2σ (OPPOSITE direction of entry)
- Confluence ≥3/5
- Large triangle signal
- Action says "LONG/SHORT ENTRY ⭐"
**⭐⭐ GOOD SETUP (Trade with caution)**
- Squeeze OFF
- Momentum directional
- Extension moderate
- Confluence ≥3/5
- Small triangle or Action confirms
**⭐ WEAK SETUP (Skip)**
- Low confluence (<3/5)
- Extension same direction as entry
- Momentum weak or conflicting
- Already in Extended/Exhaustion state
---
### State → Action Quick Guide
| See This State | Do This |
|---------------|---------|
| 💤 CONSOLIDATION | Wait, set alerts |
| ⚡ BREAKOUT | Enter in direction |
| ↗️/↘️ TRENDING | Hold positions |
| ⚠️ EXTENDED | Tighten stops, no new entries |
| 🔴/🟢 EXHAUSTION | Exit, consider reversal |
| — NEUTRAL | No trade |
---
## Troubleshooting
**Q: Indicator shows Exhaustion but price keeps going**
**A:** Check velocity and momentum. If still bright bars + velocity ↑, wait. True exhaustion needs momentum weakening.
**Q: Too many false signals**
**A:** Increase Min Confluence to 4/5. Use longer timeframe chart (4h instead of 1h).
**Q: Missing good trades**
**A:** Set alerts for "Squeeze OFF" and "HC Entry" signals. You can't watch charts 24/7.
**Q: Extension area looks weird**
**A:** Remember it's scaled 3x for visibility. Check table for actual values.
**Q: Which timeframe is best?**
**A:** 4H for swing trading, 1H for day trading. Lower = more signals but more noise.
**Q: Can I use this with other indicators?**
**A:** Yes! Combine with:
- Volume profile
- Support/resistance levels
- Moving averages on chart
- RSI for additional confirmation
---
## Final Thoughts
This indicator gives you a complete picture of market structure:
- **Where are we?** (Market State)
- **Where are we going?** (Momentum)
- **How far can it go?** (Extension)
- **When will it reverse?** (Exhaustion)
The key is **patience**. Wait for the complete setup:
1. Consolidation (⚫ Squeeze ON)
2. Breakout (⚪ Squeeze OFF)
3. Right extension direction (oversold for longs, overbought for shorts)
4. Strong confluence (3/5+)
When all pieces align, you get high-probability trades with clear entries, targets, and exits.
**Trade the cycle, not every wiggle.**
---
## Support & Updates
For questions or suggestions, refer to the original script documentation or TradingView community.
**Remember:** No indicator is perfect. Always use proper risk management and combine multiple forms of analysis.
**Good trading! 📈**
SHFE vs COMEX Silver Spread (USD/ozt)the script shows the gap between shanghai and comex silver prices. they need me to say more words in the description for this in order for me to in order to publish with words. more words.
Daily & Weekly ConfluenceDaily & Weekly Confluence is a precision momentum-alignment indicator built on Stochastic RSI, designed to highlight high-probability bullish conditions when lower-timeframe momentum aligns with higher-timeframe structure. It combines live Stoch RSI signals with a forward-shifted momentum path and a robust daily/weekly confirmation system to help traders anticipate and confirm trend transitions with clarity and discipline.
Why this indicator matters
Momentum signals are most effective when they agree across timeframes. Daily & Weekly Confluence filters noise by requiring alignment between daily and weekly Stoch RSI behavior, allowing traders to focus on setups that occur within a supportive higher-timeframe context rather than reacting to isolated signals.
What the indicator shows
1. Live Stochastic RSI (%K / %D)
The indicator plots real-time Stoch RSI values for the active chart timeframe, including standard overbought and oversold reference levels. These lines represent current momentum conditions and form the basis for all signal logic.
2. Forward-shifted Stoch RSI path
A user-defined Stoch RSI pattern window is sampled from the past and drawn forward on the chart. This path visually maps how momentum previously evolved and where similar momentum behavior may re-emerge. Optional normalization keeps the path scaled to recent conditions for consistent visual interpretation.
3. Momentum cross visualization
When %K and %D intersect within the forward-shifted path, the indicator can display:
Color-cycling vertical reference lines
Small directional arrows at the crossing point
A single highlighted label marking the next upcoming cross
These visuals are designed to keep attention on momentum inflection zones, not clutter.
Multi-timeframe signal logic
Weekly signals
The indicator independently computes weekly Stoch RSI values and detects:
Confirmed bullish crosses
Near-cross conditions based on distance and slope
Daily signals
Daily bullish crosses and near-cross conditions are detected using the same logic but on the daily timeframe.
Weekly context filter (optional)
Daily signals can be restricted so they only trigger when weekly momentum is already bullish or has recently turned bullish. This alignment filter significantly reduces counter-trend signals.
Dual confirmation
When daily and weekly bullish crosses occur together, the indicator flags a high-confidence confluence event.
Alerts built for real trading
Preconfigured alert conditions include:
Weekly bullish confirmed
Weekly bullish near-cross
Daily bullish confirmed
Daily bullish near-cross
Daily signals with weekly confirmation required
Dual daily + weekly confirmation
Alerts can be configured to trigger only on confirmed bar closes for cleaner execution timing.
How to use it effectively
Use weekly signals to define directional bias
Use daily signals for timing within that bias
Treat “near-cross” alerts as early warnings, not entries
Give the highest weight to dual confirmed alignment events
This indicator is best suited for swing traders, position traders, and systematic momentum strategies that prioritize structure, confirmation, and discipline over reactive entries.
NQ Pro Dashboard (Master Fix)This indicator is a "Head-Up Display" designed specifically for trading NQ (Nasdaq-100 Futures). It aggregates data from the broader market (volatility) and the specific stocks that drive the Nasdaq index (The "Magnificent 7") to give you a single Trend Power Score.
Here is a breakdown of how the logic works under the hood:
1. The Inputs (Data Feed)
The script watches 9 specific assets in real-time (daily timeframe data):
Fear Gauges:
VIX: The volatility index for the S&P 500.
VXN: The volatility index specifically for the Nasdaq-100.
The Engine (Mag 7):
NVDA, AAPL, MSFT, AMZN, GOOGL, META, TSLA.
2. The Logic: "Weighted" Market Strength
Instead of treating every stock equally, the script applies a Weighting Multiplier to the Mag 7 stocks based on their approximate impact on the Nasdaq-100 index.
Heavyweights (1.5x): NVDA, AAPL, MSFT (These move the market the most).
Middleweights (1.0x): AMZN, GOOGL, META.
Lightweight (0.7x): TSLA (Has the least pull of the group).
It calculates a single percentage number (MAG 7 (W)) representing the combined push or pull of these stocks.
3. The "Trend Power" Score (0-100)
This is the core signal. It starts at a neutral 50 and adds/subtracts points based on market conditions.
Fear Factor:
If VIX or VXN drops > 2% (Fear dying), it adds points (Bullish).
If VIX or VXN spikes > 2% (Fear rising), it subtracts points (Bearish).
Stock Strength:
If the Weighted Mag 7 Average is > 1.0% (Strong Rally), it adds a massive 30 points.
If it's negative (Sell-off), it subtracts points.
The Score Breakdown:
80 - 100 (Green): STRONG BULL. The engines are firing (stocks up) and the brakes are off (VIX down). Do not short.
0 - 20 (Red): STRONG BEAR. Panic selling is occurring. Do not buy.
40 - 60 (Orange): CHOP / RANGE. Conflicting signals (e.g., stocks are up but VIX is also up). Be careful.
4. The "Exhaustion" Meter (ATR)
The RANGE row tells you if the market has "gas left in the tank."
It compares Today's Range (High - Low) to the 14-Day Average Range (ATR).
< 50% (Yellow): Compressed. The market hasn't moved much yet. Expect a breakout soon.
> 120% (Purple): Extended. The market has moved massive amounts today. A reversal or pause is statistically likely (mean reversion).
5. The Visuals (Leaders Row)
The bottom row gives you a quick visual scan of the individual stocks:
N▲ (Green): Nvidia is up.
T▼ (Red): Tesla is down.
This helps you spot "divergences"—for example, if the Trend Score is high but NVDA is Red, the rally might be fragile.
LiquidityPulse Volume-Weighted Price Movement OverlayLiquidityPulse Volume-Weighted Price Movement Overlay (VWPM)
-This is a non-repainting indicator.
What this indicator does
This overlay is designed to make directional pressure + participation + wick rejection readable directly on price.
It combines:
Volume-Weighted directional pressure (bull vs bear pressure on the current timeframe)
Wick rejection “heat bands” (strength of upper/lower wick pressure, with optional volatility adaptation)
Lower-timeframe (LTF) trend + wick context (auto-selected or manual LTFs)
Chart markers for:
VOL = participation spike aligned with the current pressure direction
EXH = exhaustion warning when trend direction is met with strong opposite-wick pressure
This script is intended as an overlay/structure companion to the separate Volume-Weighted Price Movement (Oscillator) script (pane-based), which focuses on oscillator-style pressure/participation metrics.
Image: Overlay indicator applied to price
How to read it on the chart
1) Pressure Cloud + Candle Tint
The cloud and optional candle tint reflect the current timeframe’s pressure direction:
Green = bullish pressure dominant
Red = bearish pressure dominant
Brightness/opacity scales with pressure strength (normalized by a lookback period).
2) Wick Pressure Heat Bands
The lower band represents bullish wick pressure (lower-wick rejection/absorption).
The upper band represents bearish wick pressure (upper-wick rejection/supply).
Brighter = stronger wick pressure relative to its recent baseline.
Optional Adaptive bands to volatility uses ATR to keep band scaling more consistent across changing volatility regimes.
Image: Overlay + Oscillator working together
This chart highlights how volume participation and wick behaviour can be observed during periods of increased market interaction.
The arrows are used for visual reference only:
Red arrows indicate rising volume participation during the move.
Green arrows highlight increasing wick pressure, suggesting stronger rejection or absorption at those points.
3) VOL signal (Participation Spike)
A VOL marker appears when volume % of average exceeds your threshold and aligns with the current pressure direction.
This is a quick filter for:
“The current pressure direction is being supported by above-average participation.”
4) EXH signal (Exhaustion)
An EXH marker appears when the current trend is met with strong/extreme opposite wick pressure, e.g.:
Trend is Bullish but Bear wick becomes Strong/Extreme → possible bullish exhaustion / rejection risk
Trend is Bearish but Bull wick becomes Strong/Extreme → possible bearish exhaustion / absorption risk
Table (top-right)
You can toggle individual rows on or off in the settings. The table can display:
Trend (Chart)- Directional volume-weighted pressure on the chart timeframe (Bullish / Bearish, shown with ▲ ▼ icons)
Wick (Chart)- A real-time summary of wick pressure on the chart timeframe, reflecting how price is being rejected or absorbed within candles.
Possible states include:
Strong Bull – dominant lower-wick rejection (bullish absorption), shown with a green ▲
Strong Bear – dominant upper-wick rejection (bearish pressure), shown with a red ▼
Neutral – no meaningful wick imbalance, shown with a ●
Strong Both – elevated rejection on both sides, shown with a dual-pressure marker, often seen during volatility expansion or transitional conditions
Trend + Wick (Lower Timeframes)- Trend and wick context for two lower timeframes (auto-selected or manually chosen), allowing short-term behaviour to be viewed within the higher-timeframe structure
Core metrics- Bull Avg / Bear Avg, Bull–Bear Difference, Volume % Avg, and related participation statistics
Additional metrics- Further table rows can be enabled or disabled via the settings panel
How traders can use this indicator
Traders can use LiquidityPulse VWPM as a contextual tool to observe how price movement, volume participation, and wick behaviour interact.
Common use cases include:
Identifying periods where bullish or bearish pressure is dominant on the current timeframe
Observing wick rejection or absorption near highs/lows, especially during strong moves
Monitoring lower-timeframe trend and wick alignment within a higher-timeframe move
Noticing participation spikes (VOL) that confirm increased market involvement
Spotting exhaustion conditions (EXH) where strong opposing wick pressure appears against the prevailing trend
Image: This example highlights how the overlay can be used to monitor directional pressure on the chart timeframe while simultaneously observing trend and wick conditions from selected lower timeframes. The statistics table shows instances where lower-timeframe trend readings diverge from the chart-level pressure, alongside changes in wick behaviour. This allows traders to visually contextualise short-term shifts in participation and rejection within the broader structure.
Key settings (what they change)
Presets: Scalp / Intraday / Swing adjusts effective smoothing/normalization defaults to fit different trading speeds.
Lookback Period + Smoothing: These control how fast/slow the pressure model responds.
Lower values = faster response (more reactive/noisier)
Higher values = smoother response (slower/more stable)
Wick thresholds + Wick row mode: Strong / Extreme thresholds define when wick pressure is classified as Strong/Extreme relative to baseline.
Wick rows show can filter table wick rows to Extreme-only, Strong + Extreme, or Full.
Wick bands- Volatility Adapt: Adaptive bands to volatility (ATR-based) helps wick band height/offset remain visually consistent as volatility expands/contracts.
Adapt Strength controls how much the ATR regime affects the bands.
Visual controls: Transparency controls let you make the overlay more subtle or more prominent without changing calculations.
Why there is an Overlay and Oscillator version
This tool is intentionally split into two complementary indicators to preserve clarity and usability
Overlay version (this script): Focuses on price-level context, structure, wick pressure, lower-timeframe alignment, and event markers directly on the chart.
Oscillator companion version: Provides a dedicated pane for pressure balance, participation, and momentum acceleration metrics that benefit from oscillator-style visualisation.
Separating these views avoids overcrowding the price chart and allows each component to be interpreted more clearly in its appropriate context.
Disclaimer
This indicator is designed to visualise price–volume interaction, pressure, and wick behaviour.
It does not generate trade entries or exits signals and should be used as analytical context alongside a trader’s existing methodology and risk management only.
Ultimate MACD [captainua]Ultimate MACD - Comprehensive MACD Trading System
Overview
This indicator combines traditional MACD calculations with advanced features including divergence detection, volume analysis, histogram analysis tools, regression forecasting, strong top/bottom detection, and multi-timeframe confirmation to provide a comprehensive MACD-based trading system. The script calculates MACD using configurable moving average types (EMA, SMA, RMA, WMA) and applies various smoothing methods to reduce noise while maintaining responsiveness. The combination of these features creates a multi-layered confirmation system that reduces false signals by requiring alignment across multiple indicators and timeframes.
Core Calculations
MACD Calculation:
The script calculates MACD using the standard formula: MACD Line = Fast MA - Slow MA, Signal Line = Moving Average of MACD Line, Histogram = MACD Line - Signal Line. The default parameters are Fast=12, Slow=26, Signal=9, matching the traditional MACD settings. The script supports four moving average types:
- EMA (Exponential Moving Average): Standard and most responsive, default choice
- SMA (Simple Moving Average): Equal weight to all periods
- RMA (Wilder's Moving Average): Smoother, less responsive
- WMA (Weighted Moving Average): Recent prices weighted more heavily
The price source can be configured as Close (standard), Open, High, Low, HL2, HLC3, or OHLC4. Alternative sources provide different sensitivity characteristics for various trading strategies.
Configuration Presets:
The script includes trading style presets that automatically configure MACD parameters:
- Scalping: Fast/Responsive settings (8,18,6 with minimal smoothing)
- Day Trading: Balanced settings (10,22,7 with minimal smoothing)
- Swing Trading: Standard settings (12,26,9 with moderate smoothing)
- Position Trading: Smooth/Conservative settings (15,35,12 with higher smoothing)
- Custom: Full manual control over all parameters
Histogram Smoothing:
The histogram can be smoothed using EMA to reduce noise and filter minor fluctuations. Smoothing length of 1 = raw histogram (no smoothing), higher values (3-5) = smoother histogram. Increased smoothing reduces noise but may delay signals slightly.
Percentage Mode:
MACD values can be converted to percentage of price (MACD/Close*100) for cross-instrument comparison. This is useful when comparing MACD signals across instruments with different price levels (e.g., BTC vs ETH). The percentage mode normalizes MACD values, making them comparable regardless of instrument price.
MACD Scale Factor:
A scale factor multiplier (default 1.0) allows adjusting MACD display size for better visibility. Use 0.3-0.5 if MACD appears too compressed, or 2.0-3.0 if too small.
Dynamic Overbought/Oversold Levels:
Overbought and oversold levels are calculated dynamically based on MACD's mean and standard deviation over a lookback period. The formula: OB = MACD Mean + (StdDev × OB Multiplier), OS = MACD Mean - (StdDev × OS Multiplier). This adapts to current market conditions, widening in volatile markets and narrowing in calm markets. The lookback period (default 20) controls how quickly the levels adapt: longer periods (30-50) = more stable levels, shorter (10-15) = more responsive.
OB/OS Background Coloring:
Optional background coloring can highlight the entire panel when MACD enters overbought or oversold territory, providing prominent visual indication of extreme conditions. The background colors are drawn on top of the main background to ensure visibility.
Divergence Detection
Regular Divergence:
The script uses the MACD line (not histogram) for divergence detection, which provides more reliable signals. Bullish divergence: Price makes a lower low while MACD line makes a higher low. Bearish divergence: Price makes a higher high while MACD line makes a lower high. Divergences often precede reversals and are powerful reversal signals.
Pivot-Based Divergence:
The divergence detection uses actual pivot points (pivotlow/pivothigh) instead of simple lowest/highest comparisons. This provides more accurate divergence detection by identifying significant pivot lows/highs in both price and MACD line. The pivot-based method compares two recent pivot points: for bullish divergence, price makes a lower low while MACD makes a higher low at the pivot points. This method reduces false divergences by requiring actual pivot points rather than just any low/high within a period.
The pivot lookback parameters (left and right) control how many bars on each side of a pivot are required for confirmation. Higher values = more conservative pivot detection.
Hidden Divergence:
Continuation patterns that signal trend continuation rather than reversal. Bullish hidden divergence: Price makes a higher low but MACD makes a lower low. Bearish hidden divergence: Price makes a lower high but MACD makes a higher high. These patterns indicate the trend is likely to continue in the current direction.
Zero-Line Filter:
The "Don't Touch Zero Line" option ensures divergences occur in proper context: for bullish divergence, MACD must stay below zero; for bearish divergence, MACD must stay above zero. This filters out divergences that occur in neutral zones.
Range Filtering:
Minimum and maximum lookback ranges control the time window between pivots to consider for divergence. This helps filter out divergences that are too close together (noise) or too far apart (less relevant).
Volume Confirmation System
Volume threshold filtering requires current volume to exceed the volume SMA multiplied by the threshold factor. The formula: Volume Confirmed = Volume > (Volume SMA × Threshold). If the threshold is set to 1.0 or lower, volume confirmation is effectively disabled (always returns true). This allows you to use the indicator without volume filtering if desired. Volume confirmation significantly increases divergence and signal reliability.
Volume Climax and Dry-Up Detection:
The script can mark bars with extremely high volume (volume climax) or extremely low volume (volume dry-up). Volume climax indicates potential reversal points or strong momentum continuation. Volume dry-up indicates low participation and may produce unreliable signals. These markers use standard deviation multipliers to identify extreme volume conditions.
Zero-Line Cross Detection
MACD zero-line crosses indicate momentum shifts: above zero = bullish momentum, below zero = bearish momentum. The script includes alert conditions for zero-line crosses with cooldown protection to prevent alert spam. Zero-line crosses can provide early warning signals before MACD crosses the signal line.
Histogram Analysis Tools
Histogram Moving Average:
A moving average applied to the histogram itself helps identify histogram trend direction and acts as a signal line for histogram movements. Supports EMA, SMA, RMA, and WMA types. Useful for identifying when histogram momentum is strengthening or weakening.
Histogram Bollinger Bands:
Bollinger Bands are applied to the MACD histogram instead of price. The calculation: Basis = SMA(Histogram, Period), StdDev = stdev(Histogram, Period), Upper = Basis + (StdDev × Deviation Multiplier), Lower = Basis - (StdDev × Deviation Multiplier). This creates dynamic zones around the histogram that adapt to histogram volatility. When the histogram touches or exceeds the bands, it indicates extreme conditions relative to recent histogram behavior.
Stochastic MACD (StochMACD):
Stochastic MACD applies the Stochastic oscillator formula to the MACD histogram instead of price. This normalizes the histogram to a 0-100 scale, making it easier to identify overbought/oversold conditions on the histogram itself. The calculation: %K = ((Histogram - Lowest Histogram) / (Highest Histogram - Lowest Histogram)) × 100. %K is smoothed, and %D is calculated as the moving average of smoothed %K. Standard thresholds are 80 (overbought) and 20 (oversold).
Regression Forecasting
The script includes advanced regression forecasting that predicts future MACD values using mathematical models. This helps anticipate potential MACD movements and provides forward-looking context for trading decisions.
Regression Types:
- Linear: Simple trend line (y = mx + b) - fastest, works well for steady trends
- Polynomial: Quadratic curve (y = ax² + bx + c) - captures curvature in MACD movement
- Exponential Smoothing: Weighted average with more weight on recent values - responsive to recent changes
- Moving Average: Uses difference between short and long MA to estimate trend - stable and smooth
Forecast Horizon:
Number of bars to forecast ahead (default 5, max 50 for linear/MA, max 20 for polynomial due to performance). Longer horizons predict further ahead but may be less accurate.
Confidence Bands:
Optional upper/lower bands around forecast show prediction uncertainty based on forecast error (standard deviation of prediction vs actual). Wider bands = higher uncertainty. The confidence level multiplier (default 1.5) controls band width.
Forecast Display:
Forecast appears as dotted lines extending forward from current bar, with optional confidence bands. All forecast values respect percentage mode and scale factor settings.
Strong Top/Bottom Signals
The script detects strong recovery from extreme MACD levels, generating "sBottom" and "sTop" signals. These identify significant reversal potential when MACD recovers substantially from overbought/oversold extremes.
Strong Bottom (sBottom):
Triggered when:
1. MACD was at or near its lowest point in the bottom period (default 10 bars)
2. MACD was in or near the oversold zone
3. MACD has recovered by at least the threshold amount (default 0.5) from the lowest point
4. Recovery persists for confirmation bars (default 2 consecutive bars)
5. MACD has moved out of the oversold zone
6. Volume is above average
7. All enabled filters pass
8. Minimum bars have passed since last signal (reset period, default 5 bars)
Strong Top (sTop):
Triggered when:
1. MACD was at or near its highest point in the top period (default 7 bars)
2. MACD was in or near the overbought zone
3. MACD has declined by at least the threshold amount (default 0.5) from the highest point
4. Decline persists for confirmation bars (default 2 consecutive bars)
5. MACD has moved out of the overbought zone
6. Volume is above average
7. All enabled filters pass
8. Minimum bars have passed since last signal (reset period, default 5 bars)
Label Placement:
sTop/sBottom labels appear on the historical bar where the actual extreme occurred (not on current bar), showing the exact MACD value at that extreme. Labels respect the unified distance checking system to prevent overlaps with Buy/Sell Strength labels.
Signal Strength Calculation
The script calculates a composite signal strength score (0-100) based on multiple factors:
- MACD distance from signal line (0-50 points): Larger separation indicates stronger signal
- Volume confirmation (0-15 points): Volume above average adds points
- Secondary timeframe alignment (0-15 points): Higher timeframe agreement adds points
- Distance from zero line (0-20 points): Closer to zero can indicate stronger reversal potential
Higher scores (70+) indicate stronger, more reliable signals. The signal strength is displayed in the statistics table and can be used as a filter to only accept signals above a threshold.
Smart Label Placement System
The script includes an advanced label placement system that tracks MACD extremes and places Buy/Sell Strength labels at optimal locations:
Label Placement Algorithm:
- Labels appear on the current bar at confirmation (not on historical extreme bars), ensuring they're visible when the signal is confirmed
- The system tracks pending signals when MACD enters OB/OS zones or crosses the signal line
- During tracking, the system continuously searches for the true extreme (lowest MACD for buys, highest MACD for sells) within a configurable historical lookback period
- Labels are only finalized when: (1) MACD exits the OB/OS zone, (2) sufficient bars have passed (2x minimum distance), (3) MACD has recovered/declined by a configurable percentage from the extreme (default 15%), and (4) tracking has stopped (no better extreme found)
Label Spacing and Overlap Prevention:
- Minimum Bars Between Labels: Base distance requirement (default 5 bars)
- Label Spacing Multiplier: Scales the base distance (default 1.5x) for better distribution. Higher values = more spacing between labels
- Effective distance = Base Distance × Spacing Multiplier (e.g., 5 × 1.5 = 7.5 bars minimum)
- Unified distance checking prevents overlaps between all label types (Buy Strength, Sell Strength, sTop, sBottom)
Strength-Based Filtering:
- Label Strength Minimum (%): Only labels with strength at or above this threshold are displayed (default 75%)
- When multiple potential labels are close together, the system automatically compares strengths and keeps only the strongest one
- This ensures only the most significant signals are displayed, reducing chart clutter
Zero Line Polarity Enforcement:
- Enforce Zero Line Polarity (default enabled): Ensures labels follow traditional MACD interpretation
- Buy Strength labels only appear when the tracked extreme MACD value was below zero (negative territory)
- Sell Strength labels only appear when the tracked extreme MACD value was above zero (positive territory)
- This prevents counter-intuitive labels (e.g., Buy labels above zero line) and aligns with standard MACD trading principles
Recovery/Decline Confirmation:
- Recovery/Decline Confirm (%): Percent move away from the extreme required before finalizing (default 15%)
- For Buy labels: MACD must recover by at least this percentage from the tracked bottom
- For Sell labels: MACD must decline by at least this percentage from the tracked top
- Higher values = more confirmation required, fewer but more reliable labels
Historical Lookback:
- Historical Lookback for Label Placement: Number of bars to search for true extremes (default 20)
- The system searches within this period to find the actual lowest/highest MACD value
- Higher values analyze more history but may be slower; lower values are faster but may miss some extremes
Cross Quality Score
The script calculates a MACD cross quality score (0-100) that rates crossover quality based on:
- Cross angle (0-50 points): Steeper crosses = stronger signals
- Volume confirmation (0-25 points): Volume above average adds points
- Distance from zero line (0-25 points): Crosses near zero line are stronger
This score helps identify high-quality crossovers and can be used as a filter to only accept signals meeting minimum quality threshold.
Filtering System
Histogram Filter:
Requires histogram to be above zero for buy signals, below zero for sell signals. Ensures momentum alignment before generating signals.
Signal Strength Filter:
Requires minimum signal strength score for signals. Higher threshold = only strongest signals pass. This combines multiple confirmation factors into a single filter.
Cross Quality Filter:
Requires minimum cross quality score for signals. Rates crossover quality based on angle, volume, momentum, and distance from zero. Only signals meeting minimum quality threshold will be generated.
All filters use the pattern: filterResult = not filterEnabled OR conditionMet. This means if a filter is disabled, it always passes (returns true). Filters can be combined, and all must pass for a signal to fire.
Multi-Timeframe Analysis
The script can display MACD from a secondary (higher) timeframe and use it for confirmation. When secondary timeframe confirmation is enabled, signals require the higher timeframe MACD to align (bullish/bearish) with the signal direction. This ensures signals align with the larger trend context, reducing counter-trend trades.
Secondary Timeframe MACD:
The secondary timeframe MACD uses the same calculation parameters (fast, slow, signal, MA type) as the main MACD but from a higher timeframe. This provides context for the current timeframe's MACD position relative to the larger trend. The secondary MACD lines are displayed on the chart when enabled.
Noise Filtering
Noise filtering hides small histogram movements below a threshold. This helps focus on significant moves and reduces chart clutter. When enabled, only histogram movements above the threshold are displayed. Typical threshold values are 0.1-0.5 for most instruments, depending on the instrument's price range and volatility.
Signal Debounce
Signal debounce prevents duplicate MACD cross signals within a short time period. Useful when MACD crosses back and forth quickly, creating multiple signals. Debounce ensures only one signal per period, reducing signal spam during choppy markets. This is separate from alert cooldown, which applies to all alert types.
Background Color Modes
The script offers three background color modes:
- Dynamic: Full MACD heatmap based on OB/OS conditions, confidence, and momentum. Provides rich visual feedback.
- Monotone: Soft neutral background but still allows overlays (OB/OS zones). Keeps the chart clean without overpowering candles.
- Off: No MACD background (only overlays and plots). Maximum chart cleanliness.
When OB/OS background colors are enabled, they are drawn on top of the main background to ensure visibility.
Statistics Table
A real-time statistics table displays current MACD values, signal strength, distance from zero line, secondary timeframe alignment, volume confirmation status, and all active filter statuses. The table dynamically adjusts to show only enabled features, keeping it clean and relevant. The table position can be configured (Top Left, Top Right, Bottom Left, Bottom Right).
Performance Statistics Table
An optional performance statistics table shows comprehensive filter diagnostics:
- Total buy/sell signals (raw crossover count before filters)
- Filtered buy/sell signals (signals that passed all filters)
- Overall pass rates (percentage of signals that passed filters)
- Rejected signals count
- Filter-by-filter rejection diagnostics showing which filters rejected how many signals
This table helps optimize filter settings by showing which filters are most restrictive and how they impact signal frequency. The diagnostics format shows rejections as "X B / Y S" (X buy signals rejected, Y sell signals rejected) or "Disabled" if the filter is not active.
Alert System
The script includes separate alert conditions for each signal type:
- MACD Cross: MACD line crosses above/below Signal line (with or without secondary confirmation)
- Zero-Line Cross: MACD crosses above/below zero
- Divergence: Regular and hidden divergence detections
- Secondary Timeframe: Higher timeframe MACD crosses
- Histogram MA Cross: Histogram crosses above/below its moving average
- Histogram Zero Cross: Histogram crosses above/below zero
- StochMACD: StochMACD overbought/oversold entries and %K/%D crosses
- Histogram BB: Histogram touches/breaks Bollinger Bands
- Volume Events: Volume climax and dry-up detections
- OB/OS: MACD entry/exit from overbought/oversold zones
- Strong Top/Bottom: sTop and sBottom signal detections
Each alert type has its own cooldown system to prevent alert spam. The cooldown requires a minimum number of bars between alerts of the same type, reducing duplicate alerts during volatile periods. Alert types can be filtered to only evaluate specific alert types (All, MACD Cross, Zero Line, Divergence, Secondary Timeframe, Histogram MA, Histogram Zero, StochMACD, Histogram BB, Volume Events, OB/OS, Strong Top/Bottom).
How Components Work Together
MACD crossovers provide the primary signal when the MACD line crosses the Signal line. Zero-line crosses indicate momentum shifts and can provide early warning signals. Divergences identify potential reversals before they occur.
Volume confirmation ensures signals occur with sufficient market participation, filtering out low-volume false breakouts. Histogram analysis tools (MA, Bollinger Bands, StochMACD) provide additional context for signal reliability and identify significant histogram zones.
Signal strength combines multiple confirmation factors into a single score, making it easy to filter for only the strongest signals. Cross quality score rates crossover quality to identify high-quality setups. Multi-timeframe confirmation ensures signals align with higher timeframe trends, reducing counter-trend trades.
Usage Instructions
Getting Started:
The default configuration shows MACD(12,26,9) with standard EMA calculations. Start with default settings and observe behavior, then customize settings to match your trading style. You can use configuration presets for quick setup based on your trading style.
Customizing MACD Parameters:
Adjust Fast Length (default 12), Slow Length (default 26), and Signal Length (default 9) based on your trading timeframe. Shorter periods (8,17,7) for faster signals, longer (15,30,12) for smoother signals. You can change the moving average type: EMA for responsiveness, RMA for smoothness, WMA for recent price emphasis.
Price Source Selection:
Choose Close (standard), or alternative sources (HL2, HLC3, OHLC4) for different sensitivity. HL2 uses the midpoint of the high-low range, HLC3 and OHLC4 incorporate more price information.
Histogram Smoothing:
Set smoothing to 1 for raw histogram (no smoothing), or increase (3-5) for smoother histogram that reduces noise. Higher smoothing reduces false signals but may delay signals slightly.
Percentage Mode:
Enable percentage mode when comparing MACD across instruments with different price levels. This normalizes MACD values, making them directly comparable.
Dynamic OB/OS Levels:
The dynamic thresholds automatically adapt to volatility. Adjust the multipliers (default 1.5) to fine-tune sensitivity: higher values (2.0-3.0) = more extreme thresholds (fewer signals), lower (1.0-1.5) = more frequent signals. Adjust the lookback period to control how quickly levels adapt. Enable OB/OS background colors for visual indication of extreme conditions.
Volume Confirmation:
Set volume threshold to 1.0 (default, effectively disabled) or higher (1.2-1.5) for standard confirmation. Higher values require more volume for confirmation. Set to 0.1 to completely disable volume filtering.
Filters:
Enable filters gradually to find your preferred balance. Start with histogram filter for basic momentum alignment, then add signal strength filter (threshold 50+) for moderate signals, then cross quality filter (threshold 50+) for high-quality crossovers. Combine filters for highest-quality signals but expect fewer signals.
Divergence:
Enable divergence detection and adjust pivot lookback parameters. Pivot-based divergence provides more accurate detection using actual pivot points. Hidden divergence is useful for trend-following strategies. Adjust range parameters to filter divergences by time window.
Zero-Line Crosses:
Zero-line cross alerts are automatically available when alerts are enabled. These provide early warning signals for momentum shifts.
Histogram Analysis Tools:
Enable Histogram Moving Average to see histogram trend direction. Enable Histogram Bollinger Bands to identify extreme histogram zones. Enable Stochastic MACD to normalize histogram to 0-100 scale for overbought/oversold identification.
Multi-Timeframe:
Enable secondary timeframe MACD to see higher timeframe context. Enable secondary confirmation to require higher timeframe alignment for signals.
Signal Strength:
Signal strength is automatically calculated and displayed in the statistics table. Use signal strength filter to only accept signals above a threshold (e.g., 50 for moderate, 70+ for strong signals only).
Smart Label Placement:
Configure label placement settings to control label appearance and quality:
- Label Strength Minimum (%): Set threshold (default 75%) to show only strong signals. Higher = fewer, stronger labels
- Label Spacing Multiplier: Adjust spacing (default 1.5x) for better distribution. Higher = more spacing between labels
- Recovery/Decline Confirm (%): Set confirmation requirement (default 15%). Higher = more confirmation, fewer labels
- Enforce Zero Line Polarity: Enable (default) to ensure Buy labels only appear when tracked extreme was below zero, Sell labels only when above zero
- Historical Lookback: Adjust search period (default 20 bars) for finding true extremes. Higher = more history analyzed
Cross Quality:
Cross quality score is automatically calculated for crossovers. Use cross quality filter to only accept high-quality crossovers (threshold 50+ for moderate, 70+ for high quality).
Alerts:
Set up alerts for your preferred signal types. Enable alert cooldown (default enabled, 5 bars) to prevent alert spam. Use alert type filter to only evaluate specific alert types (All, MACD Cross, Zero Line, Divergence, Secondary Timeframe, Histogram MA, Histogram Zero, StochMACD, Histogram BB, Volume Events, OB/OS, Strong Top/Bottom). Each signal type has its own alert condition, so you can be selective about which signals trigger alerts.
Visual Elements and Signal Markers
The script uses various visual markers to indicate signals and conditions:
- MACD Line: Green when above signal (bullish), red when below (bearish) if dynamic colors enabled. Optional black outline for enhanced visibility
- Signal Line: Orange line with optional black outline for enhanced visibility
- Histogram: Color-coded based on direction and momentum (green for bullish rising, lime for bullish falling, red for bearish falling, orange for bearish rising)
- Zero Line: Horizontal reference line at MACD = 0
- Fill to Zero: Green/red semi-transparent fill between MACD line and zero line showing bullish/bearish territory
- Fill Between OB/OS: Blue semi-transparent fill between overbought/oversold thresholds highlighting neutral zone
- OB/OS Background Colors: Background coloring when MACD enters overbought/oversold zones
- Background Colors: Dynamic or monotone backgrounds indicating MACD state, or custom chart background
- Divergence Labels: "🐂" for bullish, "🐻" for bearish, "H Bull" for hidden bullish, "H Bear" for hidden bearish
- Divergence Lines: Colored lines connecting pivot points when divergences are detected
- Volume Climax Markers: ⚡ symbol for extremely high volume
- Volume Dry-Up Markers: 💧 symbol for extremely low volume
- Buy/Sell Strength Labels: Show signal strength percentage (e.g., "Buy Strength: 75%")
- Strong Top/Bottom Labels: "sTop" and "sBottom" for extreme level recoveries
- Secondary MACD Lines: Purple lines showing higher timeframe MACD
- Histogram MA: Orange line showing histogram moving average
- Histogram BB: Blue bands around histogram showing extreme zones
- StochMACD Lines: %K and %D lines with overbought/oversold thresholds
- Regression Forecast: Dotted blue lines extending forward with optional confidence bands
Signal Priority and Interpretation
Signals are generated independently and can occur simultaneously. Higher-priority signals generally indicate stronger setups:
1. MACD Cross with Multiple Filters - Highest priority: Requires MACD crossover plus all enabled filters (histogram, signal strength, cross quality) and secondary timeframe confirmation if enabled. These are the most reliable signals.
2. Zero-Line Cross - High priority: Indicates momentum shift. Can provide early warning signals before MACD crosses the signal line.
3. Divergence Signals - Medium-High priority: Pivot-based divergence is more reliable than simple divergence. Hidden divergence indicates continuation rather than reversal.
4. MACD Cross with Basic Filters - Medium priority: MACD crosses signal line with basic histogram filter. Less reliable alone but useful when combined with other confirmations.
Best practice: Wait for multiple confirmations. For example, a MACD crossover combined with divergence, volume confirmation, and secondary timeframe alignment provides the strongest setup.
Chart Requirements
For proper script functionality and compliance with TradingView requirements, ensure your chart displays:
- Symbol name: The trading pair or instrument name should be visible
- Timeframe: The chart timeframe should be clearly displayed
- Script name: "Ultimate MACD " should be visible in the indicator title
These elements help traders understand what they're viewing and ensure proper script identification. The script automatically includes this information in the indicator title and chart labels.
Performance Considerations
The script is optimized for performance:
- Calculations use efficient Pine Script functions (ta.ema, ta.sma, etc.) which are optimized by TradingView
- Conditional execution: Features only calculate when enabled
- Label management: Old labels are automatically deleted to prevent accumulation
- Array management: Divergence label arrays are limited to prevent memory accumulation
The script should perform well on all timeframes. On very long historical data with many enabled features, performance may be slightly slower, but it remains usable.
Known Limitations and Considerations
- Dynamic OB/OS levels can vary significantly based on recent MACD volatility. In very volatile markets, levels may be wider; in calm markets, they may be narrower.
- Volume confirmation requires sufficient historical volume data. On new instruments or very short timeframes, volume calculations may be less reliable.
- Higher timeframe MACD uses request.security() which may have slight delays on some data feeds.
- Stochastic MACD requires the histogram to have sufficient history. Very short periods on new charts may produce less reliable StochMACD values initially.
- Divergence detection requires sufficient historical data to identify pivot points. Very short lookback periods may produce false positives.
Practical Use Cases
The indicator can be configured for different trading styles and timeframes:
Swing Trading:
Use MACD(12,26,9) with secondary timeframe confirmation. Enable divergence detection. Use signal strength filter (threshold 50+) and cross quality filter (threshold 50+) for higher-quality signals. Enable histogram analysis tools for additional context.
Day Trading:
Use MACD(8,17,7) or use "Day Trading" preset with minimal histogram smoothing for faster signals. Enable zero-line cross alerts for early signals. Use volume confirmation with threshold 1.2-1.5. Enable histogram MA for momentum tracking.
Trend Following:
Use MACD(12,26,9) or longer periods (15,30,12) for smoother signals. Enable secondary timeframe confirmation for trend alignment. Hidden divergence signals are useful for trend continuation entries. Use cross quality filter to identify high-quality crossovers.
Reversal Trading:
Focus on divergence detection (pivot-based for accuracy) combined with zero-line crosses. Enable volume confirmation. Use histogram Bollinger Bands to identify extreme histogram zones. Enable StochMACD for overbought/oversold identification.
Multi-Timeframe Analysis:
Enable secondary timeframe MACD to see context from larger timeframes. For example, use daily MACD on hourly charts to understand the larger trend context. Enable secondary confirmation to require higher timeframe alignment for signals.
Practical Tips and Best Practices
Getting Started:
Start with default settings and observe MACD behavior. The default configuration (MACD 12,26,9 with EMA) is balanced and works well across different markets. After observing behavior, customize settings to match your trading style. Consider using configuration presets for quick setup.
Reducing Repainting:
All signals are based on confirmed bars, minimizing repainting. The script uses confirmed bar data for all calculations to ensure backtesting accuracy.
Signal Quality:
MACD crosses with multiple filters provide the highest-quality signals because they require alignment across multiple indicators. These signals have lower frequency but higher reliability. Use signal strength scores to identify the strongest signals (70+). Use cross quality scores to identify high-quality crossovers (70+).
Filter Combinations:
Start with histogram filter for basic momentum alignment, then add signal strength filter for moderate signals, then cross quality filter for high-quality crossovers. Combining all filters significantly reduces false signals but also reduces signal frequency. Find your balance based on your risk tolerance.
Volume Filtering:
Set volume threshold to 1.0 (default, effectively disabled) or lower to effectively disable volume filtering if you trade instruments with unreliable volume data or want to test without volume confirmation. Standard confirmation uses 1.2-1.5 threshold.
MACD Period Selection:
Standard MACD(12,26,9) provides balanced signals suitable for most trading. Shorter periods (8,17,7) for faster signals, longer (15,30,12) for smoother signals. Adjust based on your timeframe and trading style. Consider using configuration presets for optimized settings.
Moving Average Type:
EMA provides balanced responsiveness with smoothness. RMA is smoother and less responsive. WMA gives more weight to recent prices. SMA gives equal weight to all periods. Choose based on your preference for responsiveness vs. smoothness.
Divergence:
Pivot-based divergence is more reliable than simple divergence because it uses actual pivot points. Hidden divergence indicates continuation rather than reversal, useful for trend-following strategies. Adjust pivot lookback parameters to control sensitivity.
Dynamic Thresholds:
Dynamic OB/OS thresholds automatically adapt to volatility. In volatile markets, thresholds widen; in calm markets, they narrow. Adjust the multipliers to fine-tune sensitivity. Enable OB/OS background colors for visual indication.
Zero-Line Crosses:
Zero-line crosses indicate momentum shifts and can provide early warning signals before MACD crosses the signal line. Enable alerts for zero-line crosses to catch these early signals.
Alert Management:
Enable alert cooldown (default enabled, 5 bars) to prevent alert spam. Use alert type filter to only evaluate specific alert types. Signal debounce (default enabled, 3 bars) prevents duplicate MACD cross signals during choppy markets.
Technical Specifications
- Pine Script Version: v6
- Indicator Type: Non-overlay (displays in separate panel below price chart)
- Repainting Behavior: Minimal - all signals are based on confirmed bars, ensuring accurate backtesting results
- Performance: Optimized with conditional execution. Features only calculate when enabled.
- Compatibility: Works on all timeframes (1 minute to 1 month) and all instruments (stocks, forex, crypto, futures, etc.)
- Edge Case Handling: All calculations include safety checks for division by zero, NA values, and boundary conditions. Alert cooldowns and signal debounce handle edge cases where conditions never occurred or values are NA.
Technical Notes
- All MACD values respect percentage mode conversion when enabled
- Volume confirmation uses cached volume SMA for performance
- Label arrays (divergence) are automatically limited to prevent memory accumulation
- Background coloring: OB/OS backgrounds are drawn on top of main background to ensure visibility
- All calculations are optimized with conditional execution - features only calculate when enabled (performance optimization)
- Signal strength calculation combines multiple factors into a single score for easy filtering
- Cross quality calculation rates crossover quality based on angle, volume, and distance from zero
- Secondary timeframe MACD uses request.security() for higher timeframe data access
- Histogram analysis features (Bollinger Bands, MA, StochMACD) provide additional context beyond basic MACD signals
- Statistics table dynamically adjusts to show only enabled features, keeping it clean and relevant
- Divergence detection uses MACD line (not histogram) for more reliable signals
- Configuration presets automatically optimize MACD parameters for different trading styles
- Smart label placement: Labels appear on current bar at confirmation, using strength from tracked extreme point
- Label spacing uses effective distance (base distance × spacing multiplier) for better distribution
- Zero line polarity enforcement ensures Buy labels only appear when tracked extreme MACD < 0, Sell labels only when tracked extreme MACD > 0
- Label finalization requires MACD exit from OB/OS zone, sufficient bars passed, and recovery/decline percentage confirmation
- Strength-based filtering automatically compares and keeps only the strongest label when multiple signals are close together
- Enhanced visualization: Line outlines drawn behind main lines for superior visibility (black default, configurable)
- Enhanced visualization: Fill between MACD and zero line provides instant visual feedback (green above, red below)
- Enhanced visualization: Fill between OB/OS thresholds highlights neutral zone when dynamic levels are active
- Custom chart background overrides background mode when enabled, allowing theme-consistent indicator panels
Kalman Hull Kijun [BackQuant]Kalman Hull Kijun
A trend baseline that merges three ideas into one clean overlay, Kalman filtering for noise control, Hull-style responsiveness, and a Kijun-like Donchian midline for structure and bias.
Context and lineage
This indicator sits in the same family as two related scripts:
Kalman Price Filter
This is the foundational building block. It introduces the Kalman filter concept, a state-estimation algorithm designed to infer an underlying “true” signal from noisy measurements, originally used in aerospace guidance and later adopted across robotics, economics, and markets.
Kalman Hull Supertrend
This is the original script made, which people loved. So it inspired me to create this one.
Kalman Hull Kijun uses the same core philosophy as the Supertrend variant, but instead of building a Supertrend band system, it produces a single structural baseline that behaves like a Kijun-style reference line.
What this indicator is trying to solve
Most trend baselines sit on a bad trade-off curve:
If you smooth hard, the line reacts late and misses turns.
If you react fast, the line whipsaws and tracks noise.
Kalman Hull Kijun is designed to land closer to the middle:
Cleaner than typical fast moving averages in chop.
More responsive than slow averages in directional phases.
More “structure aware” than pure averages because the baseline is range-derived (Kijun-like) after filtering.
Core idea in plain language
The plotted line is a Kijun-like baseline, but it is not built from raw candles directly.
High level flow:
Start with a chosen price stream (source input).
Reduce measurement noise using Kalman-style state estimation.
Add Hull-style responsiveness so the filtered stream stays usable for trend work.
Build a Kijun-like baseline by taking a Donchian midpoint of that filtered stream over the base period.
So the output is a single baseline that is intended to be:
Less jittery than a simple fast MA.
Less laggy than a slow MA.
More “range anchored” than standard smoothing lines.
How to read it
1) Trend and bias (the primary use)
Price above the baseline, bullish bias.
Price below the baseline, bearish bias.
Clean flips across the baseline are regime changes, especially when followed by a hold or retest.
2) Retests and dynamic structure
Treat the baseline like dynamic S/R rather than a signal generator:
In uptrends, pullbacks that respect the baseline can act as continuation context.
In downtrends, reclaim failures around the baseline can act as continuation context.
Repeated back-and-forth around the line usually means compression or chop, not clean trend.
3) Extension vs compression (using the fill)
The fill is meant to communicate “distance” and “pressure” visually:
Large separation between price and baseline suggests expansion.
Price compressing into the baseline suggests rebalancing and decision points.
Inputs and what they change
Kijun Base Period
Controls the structural memory of the baseline.
Higher values track broader swings and reduce flips.
Lower values track tighter swings and react faster.
Kalman Price Source
Defines what data the filter is estimating.
Close is usually the cleanest default.
HL2 often “feels” smoother as an average price.
High/Low sources can become more reactive and less stable depending on the market.
Measurement Noise
Think of this as the main smoothness knob:
Higher values generally produce a calmer filtered stream.
Lower values generally produce a faster, more reactive stream.
Process Noise
Think of this as adaptability:
Higher values adapt faster to changing conditions but can get twitchy.
Lower values adapt slower but stay stable.
Plotting and UI (what you see on chart)
1) Adaptive line coloring
Baseline turns bullish color when price is above it.
Baseline turns bearish color when price is below it.
This makes the state readable without extra panels.
2) Gradient “energy” fill
Bull fill appears between price and baseline when above.
Bear fill appears between price and baseline when below.
The goal is clarity on separation and control, not decoration.
3) Rim effect
A subtle band around price that only appears on the active side.
Helps highlight directional control without hiding candles.
4) Candle painting (optional)
Candles can be colored to match the current bias.
Useful for scanning many charts quickly.
Disable if you prefer raw candles.
Alerts
Long state alert when price is above the baseline.
Short state alert when price is below the baseline.
Best used as a bias or regime notification, not a standalone entry trigger.
Where it fits in a workflow
This is a context layer, it pairs well with:
Market structure tools, BOS/MSB, OBs, FVGs.
Momentum triggers that need a regime filter.
Mean reversion tools that need “do not fade trends” context.
Limitations
No baseline eliminates chop whipsaws, tuning only manages the trade-off.
Settings should not be copy pasted across assets without checking behavior.
This does not forecast, it estimates and smooths state, then expresses it as a structural baseline.
Disclaimer
Educational and informational only, not financial advice.
Not a complete trading system.
If you use it in any trading workflow, do proper backtesting, forward testing, and risk management before any live execution.
SVP + candle + Max volume [midst]
SVP + DALY CANDLE + MAX VOLUME
A comprehensive trading indicator that combines Session Volume Profile (SVP), Higher Timeframe (HTF) Candles, and Intrabar Max Volume Price Detection into one powerful tool. Perfect for traders who want to understand price action, volume distribution, and key levels all in one place.
KEY FEATURES
Session Volume Profile
• Real-time volume distribution across price levels for the current session
• Point of Control (POC) - identifies the price with the highest traded volume
• Value Area High (VAH) & Low (VAL) - shows where 70% of the volume occurred (customizable percentage)
• Color-coded volume bars - distinguish between up volume (bullish) and down volume (bearish)
• Value area highlighting - clearly see the most important price zones
Higher Timeframe Candle Display
• Visual daily (or custom timeframe) candle overlaid on your current chart
• OHLC labels - see Open, High, Low, and Close prices clearly marked
• Fully customizable colors - separate colors for bullish/bearish bodies, borders, and wicks
• Adjustable positioning - move the candle and labels to your preferred location
Max Volume Price Detection
• Identifies the exact price level with maximum volume within each bar
• Uses Lower Timeframe (LTF) data for precise volume analysis (Premium+ required)
• Simple mode fallback - works on all TradingView plans
• Previous max volume marker - displays previous bar's max volume as a reference dot
• Real-time calculation - updates as each bar forms
ATR Table
• Dynamic ATR-based stop levels - automatically calculates potential stop-loss levels
• Multiple smoothing methods - RMA, SMA, EMA, WMA
• Customizable multiplier - adjust for your risk tolerance
• Clean table display - shows ATR value, high stop, and low stop
PERFECT FOR
Day traders analyzing intrabar volume distribution
Swing traders wanting HTF context on lower timeframes
Volume profile traders looking for key support/resistance levels
Price action traders seeking high-probability entry zones
HOW TO USE
Volume Profile Analysis
POC often acts as a magnet for price. VAH/VAL are key support/resistance levels. High volume nodes indicate strong price acceptance, while low volume nodes suggest potential breakout zones.
HTF Candle Context
See daily range while trading on 5m-1h charts. Daily open often acts as pivot point. Daily high/low are key levels to watch.
Max Volume Price
Black line shows where most volume traded in each bar. Previous max volume (dot) helps identify institutional activity. Clusters of max volume create strong support/resistance. Can possibly indicate a Wick bounce
ATR Stops
Use ATR-based levels for logical stop placement. Adjust multiplier based on market volatility.
SETTINGS & CUSTOMIZATION
Positioning
Control the global offset to move both candle and profile together. Fine-tune with individual offsets for candle and profile spacing.
Volume Profile
Adjustable number of rows (50-500) for granular or simplified view. Customizable width and placement (left/right). Value Area percentage control. Full color customization for all volume components.
HTF Candle
Any timeframe selection (default: Daily). Full color customization for bull/bear candles. Adjustable candle width. Toggle OHLC labels on/off. Control label distance and line widths.
Max Volume Price
Choose between Simple (all plans) or LTF mode (Premium+). Auto or manual LTF resolution. Custom color and line width. Toggle current and previous markers independently.
TECHNICAL NOTES
Maximum 5000 bars lookback for volume calculations
Works on all timeframes
LTF max volume requires TradingView Premium or higher
Optimized for performance with efficient array operations
For best results, use on liquid instruments with reliable volume data
Most effective on intraday charts (5min-1hour) for day trading and scalping strategies
For Entertainment and information only
Created by midst
QuantLabs MASM Correlation TableThe Market is a graph. See the flows:
The QuantLabs MASM is not a standard correlation table. It is an Alpha-Grade Scanner architected to reveal the hidden "hydraulic" relationships between global macro assets in real-time.
Rebuilt from the ground up for Version 3, this engine pushes the absolute limits of the Pine Script™ runtime. It utilizes a proprietary Logarithmic Math Engine, Symmetric Compute Optimization, and a futuristic "Ghost Mode" interface to deliver a 15x15 real-time correlation matrix with zero lag.
Under the Hood: The Quant Architecture
We stripped away standard libraries to build a lean, high-performance engine designed for institutional-grade accuracy.
1. Alpha Math Engine (Logarithmic Returns) Most tools calculate correlation based on Price, which generates spurious signals (e.g., "Everything is correlated in a bull run").
The Solution: Our engine computes Logarithmic Returns (log(close/close )) by default. This measures the correlation of change (Velocity & Vector), not price levels.
The Result: A mathematically rigorous view of statistical relationships that filters out the noise of general market drift.
Dual-Core: Toggle seamlessly between "Alpha Mode" (Log Returns) for verified stats and "Visual Mode" (Price) for trend alignment.
Calculation Modes: Pearson (Standard), Euclidean (Distance), Cosine (Vector), Manhattan (Grid).
2. Symmetric Compute Optimization Calculating a 15x15 matrix requires evaluating 225 unique relationships per bar, which often crashes memory limits.
The Fix: The V3 Engine utilizes Symmetric Logic, recognizing that Correlation(A, B) == Correlation(B, A).
The Gain: By computing only the lower triangle of the matrix and mirroring pointers to the upper triangle, we reduced computational load by 50%, ensuring a lightning-fast data feed even on lower timeframes.
3. Context-Aware "Ghost Mode" The UI is designed for professional traders who need focus, not clutter.
Smart Detection: The matrix automatically detects your current chart's Ticker ID. If you are trading QQQ, the matrix will visually highlight the Nas100 row and column, making them opaque and bright while dimming the rest.
Dynamic Transparency: Irrelevant data ("Noise" < 0.3 correlation) fades into the background. Only significant "Alpha Signals" (> 0.7) glow with full Neon Saturation.
Key Features
Dominant Flow Scanner: The matrix scans all 105 unique pairs every tick and prints the #1 Strongest Correlation at the bottom of the pane (e.g., DOMINANT FLOW: Bitcoin ↔ Nas100 ).
Streak Counter: A "Stubbornness" metric that tracks how many consecutive days a strong correlation has persisted. Instantly identify if a move is a "flash event" or a "structural trend."
Neon Palette: Proprietary color mapping using Electric Blue (+1.0) for lockstep correlation and Deep Red (-1.0) for inverse hedging.
Usage Guide
Placement: Best viewed in a bottom pane (Footer).
Assets: Pre-loaded with the Essential 15 Macro Drivers (Indices, BTC, Gold, Oil, Rates, FX, Key Sectors). Fully editable via settings (Ticker|Name).
Reading the Grid:
🔵 Bright Blue: Assets moving in lockstep (Risk-On).
🔴 Bright Red: Assets moving perfectly opposite (Hedge/Risk-Off).
⚫ Faded/Black: No statistical relationship (Decoupled).
Key Improvements Made:
Formatting: Added clear bullet points and bolding to make it scannable.
Clarity: Clarified the "Logarithmic Returns" section to explain why it matters (Velocity vs. Price Levels).
Tone: Maintained the "high-tech/quant" vibe but removed slightly clunky phrases like "spurious signals" (unless you prefer that academic tone, in which case I left it in as it fits the persona).
Structure: Grouped the "Modes" under the Math Engine for better logic.
Created and designed by QuantLabs
SMC Post-Analysis Lab [PhenLabs]📊 SMC Post-Analysis Lab
Version: PineScript™ v6
📌 Description
The SMC Post-Analysis Lab is a dedicated hindsight analysis tool built for traders who want to understand what really happened during any historical trading period. Unlike forward-looking indicators, this tool lets you scroll back through time and instantly receive algorithmic classification of market states using Smart Money Concepts methodology.
Whether you’re reviewing a losing trade, studying a successful session, or building your pattern recognition skills, this indicator provides immediate context. The expansion-aware algorithm processes price action within your selected window and outputs clear, actionable classifications ranging from Parabolic Expansion to Consolidation Inducements.
Stop relying on subjective post-trade analysis. Let the algorithm objectively tell you whether institutional players were accumulating, distributing, or running inducements during your trades.
🚀 Points of Innovation
First indicator specifically designed for SMC-based post-trade review rather than live signal generation
Dual-mode analysis system allowing both dynamic scrollback and precise date selection
Expansion-aware classification algorithm that weighs range position against net displacement
Real-time efficiency metrics calculating directional quality of price movement
Integrated visual FVG detection within the analysis window only
Interactive table with clickable date range adjustment via chart interface
🔧 Core Components
Pivot Detection Engine: Uses configurable pivot length to identify significant swing highs and lows for structure break detection
Window Calculator: Determines active analysis zone based on either bar offset or timestamp boundaries
Data Aggregator: Tracks window open, high, low, close and counts bullish/bearish structure break events
State Classification Algorithm: Applies hierarchical logic to determine market state from six possible classifications
Visual Renderer: Draws structure breaks, FVG boxes, and window highlighting within the active zone
🔥 Key Features
Sliding Window Mode: Use the Scroll Back slider to dynamically move your analysis zone backwards through history bar-by-bar
Date Range Mode: Select specific start and end timestamps for precise session or trade review
Six Market State Classifications: Parabolic Expansion (Bull/Bear), Bullish/Bearish Order Flow, Accumulation/Distribution Reversal, and Consolidation/Inducement
Range Position Percentile: See exactly where price closed relative to the window’s high-low range as a percentage
Bull/Bear Event Counter: Quantified count of structure breaks in each direction during the analysis period
Efficiency Calculation: Net move divided by total range reveals trending quality versus chop
🎨 Visualization
Blue Window Highlight: Active analysis zone is clearly marked with blue background shading on the chart
Structure Break Lines: Dashed lines appear at each bullish or bearish structure break within the window
FVG Boxes: Fair Value Gaps automatically render as semi-transparent boxes in bullish or bearish colors
Dashboard Table: Top-right positioned table displays State, Analysis description, and Metrics in real-time
Color-Coded States: Each classification uses distinct coloring for immediate visual recognition
Interactive Tip Row: Optional help text guides users on clicking the table to adjust date range
📖 Usage Guidelines
General Configuration
Analysis Mode: Default is Sliding Window. Choose Date Range for specific timestamp analysis.
Sliding Window Settings
Scroll Back (Bars): Default 0. Increase to move window backwards into history.
Window Width (Bars): Default 100. Range 20-50 for scalping, 100+ for swing analysis.
Date Range Settings
Start Date: Select the beginning timestamp for your analysis period.
End Date: Select the ending timestamp for your analysis period.
Visual Settings
Show Help Tip: Default true. Toggle to hide instructional row in dashboard.
Bullish Color: Default teal. Customize for bullish elements.
Bearish Color: Default red. Customize for bearish elements.
SMC Parameters
Pivot Length: Default 5. Lower values (3-5) catch minor breaks. Higher values (10+) focus on major swings.
✅ Best Use Cases
Post-trade review to understand why entries succeeded or failed
Session analysis to identify institutional activity patterns
Trade journaling with objective algorithmic classifications
Pattern recognition training through historical scrollback
Identifying whether stop hunts were inducements or legitimate breaks
Comparing your real-time read versus what the algorithm detected
⚠️ Limitations
Designed for historical analysis only, not live trade signals
Classification accuracy depends on appropriate pivot length for the timeframe
FVG detection uses simple gap logic without mitigation tracking
State classification is based on window data only, not broader context
Requires manual scrolling or date input to review different periods
💡 What Makes This Unique
Purpose-Built for Review: Unlike most indicators focused on live signals, this is designed specifically for post-trade analysis
Expansion-Aware Logic: Algorithm weighs both position in range AND directional efficiency for accurate state detection
Interactive Date Control: Click the dashboard table to reveal draggable anchors for window adjustment directly on chart
🔬 How It Works
1. Window Definition:
User selects either Sliding Window or Date Range mode
System calculates which bars fall within the active analysis zone
Active zone receives blue background highlighting
2. Data Collection:
Algorithm captures window open, running high, running low, and current close
Structure breaks are detected when price crosses above last pivot high or below last pivot low
Bullish and bearish events are counted separately
3. State Classification:
Range Position calculates where close sits as percentage of high-low range
Efficiency calculates net move divided by total range
Hierarchical logic applies priority rules from Parabolic states down to Consolidation
4. Output Rendering:
Dashboard table updates with State title, Analysis description, and Metrics
Visual elements render within window only to keep chart clean
Colors reflect bullish, bearish, or neutral classification
💡 Note:
This indicator is intended for educational and review purposes. Use it to develop your understanding of Smart Money Concepts by analyzing what institutional order flow looked like during historical periods. Combine insights with your own analysis methodology for best results.
A-Share Broad-Based ETF Dual-Core Timing System1. Strategy Overview
The "A-Share Broad-Based ETF Dual-Core Timing System" is a quantitative trading strategy tailored for the Chinese A-share market (specifically for broad-based ETFs like CSI 300, CSI 500, STAR 50). Recognizing the market's characteristic of "short bulls, long bears, and sharp bottoms," this strategy employs a "Left-Side Latency + Right-Side Full Position" dual-core driver. It aims to safely bottom-fish during the late stages of a bear market and maximize profits during the main ascending waves of a bull market.
2. Core Logic
A. Left-Side Latency (Rebound/Bottom Fishing)
Capital Allocation: Defaults to 50% position.
Philosophy: "Buy when others fear." Seeks opportunities in extreme panic or momentum divergence.
Entry Signals (Triggered by any of the following):
Extreme Panic: RSI Oversold (<30) + Price below Bollinger Lower Band + Bullish Candle Close (Avoid catching falling knives).
Oversold Bias: Price deviates more than 15% from the 60-day MA (Life Line), betting on mean reversion.
MACD Bullish Divergence: Price makes a new low while MACD histogram does not, accompanied by strengthening momentum.
B. Right-Side Full Position (Trend Following)
Capital Allocation: Aggressively scales up to Full Position (~99%) upon signal trigger.
Philosophy: "Follow the trend." Strike heavily once the trend is confirmed.
Entry Signals (All must be met):
Upward Trend: MACD Golden Cross + Price above 20-day MA.
Breakout Confirmation: CCI indicator breaks above 100, confirming a main ascending wave.
Volume Support: Volume MACD Golden Cross, ensuring price increase is backed by volume.
C. Smart Risk Control
Bear Market Exhaustion Exit: In a bearish trend (MA20 < MA60), the strategy does not "hold and hope." It immediately liquidates left-side positions upon signs of rebound exhaustion (breaking below MA20, touching MA60 resistance, or RSI failure).
ATR Trailing Stop: Uses Average True Range (ATR) to calculate a dynamic stop-profit line that rises with the price to lock in profits.
Hard Stop Loss: Forces a stop-loss if the left-side bottom fishing fails and losses exceed a set ATR multiple, preventing deep drawdowns.
3. Recommendations
Target Assets: High liquidity broad-based ETFs such as CSI 300 ETF (510300), CSI 500 ETF (510500), ChiNext ETF (159915), STAR 50 ETF (588000).
Timeframe: Daily Chart.
Iridescent Liquidity Prism [JOAT]Iridescent Liquidity Prism | Peer Momentum HUD
A multi-layered order-flow indicator that combines microstructure analysis, smart-money footprint detection, and intermarket momentum signals. The script uses dynamic color-shifting themes to visualize liquidity patterns, structure, and peer momentum data directly on the chart.
There is so much to choose from inside the settings, if you think it's a mess on the chart it's because you have to personally customize it based on your needs...
Core Functionality
The indicator calculates and displays several analytical layers simultaneously:
Order-Flow Imbalance (OFI): Calculates buy vs. sell volume pressure using volume-weighted price distribution within each bar. Uses an EMA filter (default: 55 periods) to smooth the signal. Values are normalized using standard deviation to identify significant imbalances.
Smart Money Footprints: Detects accumulation and distribution zones by comparing volume rate of change (ROC) against price ROC. When volume ROC exceeds a threshold (default: 65%) and price ROC is positive, accumulation is detected. When volume ROC is high but price ROC is negative, distribution is detected.
Fractal Structure Mapping: Identifies pivot highs and lows using a fractal detection algorithm (default: 5-bar period). Maintains a rolling window of recent structure points (default: 4 levels) and draws connecting lines to show trend structure.
Fair Value Gap (FVG) Detection: Automatically detects price gaps where three consecutive candles create an imbalance. Bullish FVGs occur when the current low exceeds the high two bars ago. Bearish FVGs occur when the current high is below the low two bars ago. Gaps persist for a configurable duration (default: 320 bars) and fade when price fills the gap.
Liquidity Void Detection: Identifies candles where the high-low range exceeds an ATR threshold (default: 1.7x ATR) while volume is below average (default: 65% of 20-bar average). These conditions suggest areas where liquidity may be thin.
Price/Volume Divergence: Uses linear regression to detect when price trend direction disagrees with volume trend direction. A divergence alert appears when price is trending up while volume is trending down, or vice versa.
Peer Momentum Heatmap (PMH): Calculates composite momentum scores for up to 6 symbols across 4 timeframes. Each score combines RSI (default: 14 periods) and StochRSI (default: 14 periods, 3-bar smooth) to create a momentum composite between -1 and +1. The highest absolute momentum score across all combinations is displayed in the HUD.
Custom settings using Fractal Pivots, Skeleton Structure, Pulse Liquidity Voids, Bottom Colorful HeatMaps, and Iridescent Field.
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Visual Components
Spectrum Aura Glow: ATR-weighted bands (default: 0.25x ATR) that expand and contract around price action, indicating volatility conditions. The thickness adapts to market volatility.
Chromatic Flow Trail: A blended line combining EMA and WMA of price (default: 8-period EMA blended with WMA at 65% ratio). The trail uses gradient colors that shift based on a phase oscillator, creating an iridescent effect.
Volume Heat Projection: Creates horizontal volume profile bands at price levels (default: 14 levels). Scans recent bars (default: 150 bars) to calculate volume concentration. Each level is colored based on its volume density relative to the maximum volume level.
Structure Skeleton: Dashed lines connecting fractal pivot points. Uses two layers: a primary line (2-3px width) and an optional glow overlay (4-5px width) for enhanced visibility.
Fractal Markers: Diamond shapes placed at pivot high and low points. Color-coded: primary color for highs, secondary color for lows.
Iridescent Color Themes: Five color themes available: Iridescent (default), Pearlescent, Prismatic, ColorShift, and Metallic. Colors shift dynamically using a phase oscillator that cycles through the color spectrum based on bar index and a speed multiplier (default: 0.35).
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HUD Console Metrics
The right-side HUD displays seven key metrics:
Flow: Shows OFI status: ▲ FLOW BUY when normalized OFI exceeds imbalance threshold (default: 2.2), ▼ FLOW SELL when below -2.2, or ◆ FLOW BAL when balanced.
Struct: Structure trend bias: ▲ STRUCT BULL when microtrend > 2, ▼ STRUCT BEAR when < -2, or ◆ STRUCT RANGE when neutral.
Smart$: Institutional activity: ◈ ACCUM when smart money index = 1, ◈ DISTRIB when = -1, or ○ IDLE when inactive.
Liquid: Liquidity state: ⚡ VOID when a liquidity void is detected, or ● NORMAL otherwise.
Diverg: Divergence status: ⚠ ALERT when price/volume divergence detected, or ✓ CLEAR when aligned.
PMH: Peer Momentum Heatmap status: Shows dominant timeframe and momentum score. Displays 🪩 for bull surge (above 0.55 threshold) or 🧨 for bear surge (below -0.55).
FVG: Fair Value Gap status: Shows active gap count or CLEAR when no gaps exist. Displays GAP LONG when bullish gap detected, GAP SHORT when bearish gap detected.
Pearlscent Color with Volume Heatmap.
Parameters and Settings
Microstructure Engine:
Analysis Depth: 20-250 bars (default: 55) - Controls OFI smoothing period
Liquidity Threshold ATR: 1.0-4.0 (default: 1.7) - Multiplier for void detection
Imbalance Ratio: 1.5-6.0 (default: 2.2) - Standard deviations for OFI significance
Smart Money Layer:
Smart Money Window: 10-150 bars (default: 24) - Period for ROC calculations
Accumulation Threshold: 40-95% (default: 65%) - Volume ROC threshold
Structural Mapping:
Fractal Pivot Period: 3-15 bars (default: 5) - Period for pivot detection
Structure Memory: 2-8 levels (default: 4) - Number of structure points to track
Volume Heat Projection:
Heat Map Lookback: 60-400 bars (default: 150) - Bars to analyze for volume profile
Heat Map Levels: 5-30 levels (default: 14) - Number of price level bands
Heat Map Opacity: 40-100% (default: 92%) - Transparency of heat map boxes
Heat Map Width Limit: 6-80 bars (default: 26) - Maximum width of heat map boxes
Heat Map Visibility Threshold: 0.0-0.5 (default: 0.08) - Minimum density to display
Iridescent Enhancements:
Visual Theme: Iridescent, Pearlescent, Prismatic, ColorShift, or Metallic
Color Shift Speed: 0.05-1.00 (default: 0.35) - Speed of color phase oscillation
Aura Thickness (ATR): 0.05-1.0 (default: 0.25) - Multiplier for aura band width
Chromatic Trail Length: 2-50 bars (default: 8) - Period for trail calculation
Trail Blend Ratio: 0.1-0.95 (default: 0.65) - EMA/WMA blend percentage
FVG Persistence: 50-600 bars (default: 320) - Bars to keep FVG boxes active
Max Active FVG Boxes: 10-200 (default: 40) - Maximum boxes on chart
FVG Base Opacity: 20-95% (default: 80%) - Transparency of FVG boxes
Peer Momentum Heatmap:
Peer Symbols: Comma-separated list of up to 6 symbols (e.g., "BTCUSD,ETHUSD")
Peer Timeframes: Comma-separated list of up to 4 timeframes (default: "60,240,D")
PMH RSI Length: 5-50 periods (default: 14)
PMH StochRSI Length: 5-50 periods (default: 14)
PMH StochRSI Smooth: 1-10 periods (default: 3)
Super Momentum Threshold: 0.2-0.95 (default: 0.55) - Threshold for surge detection
Clarity & Readability:
Liquidity Void Opacity: 5-90% (default: 30%)
Smart Money Footprint Opacity: 5-90% (default: 35%)
HUD Background Opacity: 40-95% (default: 70%)
Iridescent Field:
Field Opacity: 20-100% (default: 86%) - Background color intensity
Field Smooth Length: 10-200 bars (default: 34) - Smoothing for background gradient
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Alerts
The indicator provides seven alert conditions:
Liquidity Void Detected - Triggers when void conditions are met
Strong Order Flow - Triggers when normalized OFI exceeds imbalance ratio
Smart Money Activity - Triggers when accumulation or distribution detected
Price/Volume Divergence - Triggers when divergence conditions occur
Structure Shift - Triggers when structure polarity changes significantly
PMH Bull Surge - Triggers when PMH exceeds positive threshold (if enabled)
PMH Bear Surge - Triggers when PMH exceeds negative threshold (if enabled)
Bull/Bear Prismatic FVG - Triggers when new FVG is detected (if FVG display enabled)
---
Usage Considerations
Performance may vary on lower timeframes due to the volume heat map calculations scanning multiple bars. Consider reducing heat map lookback or levels if experiencing slowdowns.
The PMH feature requires data requests to other symbols/timeframes, which may impact performance. Limit the number of peer symbols and timeframes for optimal performance.
FVG boxes automatically expire after the persistence period to prevent chart clutter. The maximum box limit (default: 40) prevents excessive memory usage.
Color themes affect all visual elements. Choose a theme that provides good contrast with your chart background.
The indicator is designed for overlay display. All visual elements are positioned relative to price action.
Structure lines are drawn dynamically as new pivots form. On fast-moving markets, structure may update frequently.
Volume calculations assume typical volume data availability. Symbols without volume may show incomplete data for volume-dependent features.
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Technical Notes
Built on Pine Script v6 with dynamic request capability for PMH functionality.
Uses exponential moving averages (EMA) and weighted moving averages (WMA) for trail calculations to balance responsiveness and smoothness.
Volume profile calculation uses price level buckets. Higher levels provide finer granularity but require more computation.
Iridescent color engine uses a phase oscillator with sine wave calculations for smooth color transitions.
Box management includes automatic cleanup of expired boxes to maintain performance.
All visual elements use color gradients and transparency for smooth blending with price action.
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Customization Examples
Intraday Scalping Setup:
Analysis Depth: 30 bars
Heat Map Lookback: 100 bars
FVG Persistence: 150 bars
PMH Window: 15 bars
Fast color shift speed: 0.5+
Macro Structure Tracking:
Analysis Depth: 100+ bars
Heat Map Lookback: 300+ bars
FVG Persistence: 500+ bars
Structure Memory: 6-8 levels
Slower color shift speed: 0.2
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Limitations
Volume heat map calculations may be computationally intensive on lower timeframes with high lookback values.
PMH requires valid symbol names and accessible timeframes. Invalid symbols or timeframes will return no data.
FVG detection requires at least 3 bars of history. Early bars may not show FVG boxes.
Structure lines connect points but do not predict future structure. They reflect historical pivot relationships.
Color themes are aesthetic choices and do not affect calculation logic.
The indicator does not provide trading signals. All visual elements are analytical tools that require interpretation in context of market conditions.
Open Source
This indicator is open source and available for modification and distribution. The code is published with Pine Script v6 compliance. Users are free to customize parameters, modify calculations, and adapt the visual elements to their trading needs.
For questions, suggestions, or anything please talk to me in private messages or comments below!
Would love to help!
- officialjackofalltrades
ES Multi-Timeframe SMC Entry SystemOverviewThis is a comprehensive Smart Money Concepts (SMC) trading strategy for ES1! (E-mini S&P 500) futures that provides simultaneous buy and sell signals across three timeframes: Daily, Weekly, and Monthly. It incorporates your complete entry checklists, confluence scoring system, and automated risk management.Core Features1. Multi-Timeframe Signal Generation
Daily Signals (D) - For intraday/swing trades (1-3 day holds)
Weekly Signals (W) - For swing trades (3-10 day holds)
Monthly Signals (M) - For position trades (weeks to months)
All three timeframes can trigger simultaneously (pyramiding enabled)
2. Smart Money Concepts ImplementationOrder Blocks (OB)
Automatically detects bullish and bearish order blocks
Bullish OB = Down candle before strong impulse up
Bearish OB = Up candle before strong impulse down
Validates freshness (< 10 bars = higher quality)
Visual boxes displayed on chart
Fair Value Gaps (FVG)
Identifies 3-candle imbalance patterns
Bullish FVG = Gap between high and current low
Bearish FVG = Gap between low and current high
Tracks unfilled gaps as targets/entry zones
Auto-removes when filled
Premium/Discount Zones
Calculates 50-period swing range
Premium = Upper 50% (short from here)
Discount = Lower 50% (long from here)
Deep zones (<30% or >70%) for higher quality setups
Visual shading: Red = Premium, Green = Discount
Liquidity Sweeps
Sell-Side Sweep (SSL) = False break below lows → reversal up
Buy-Side Sweep (BSL) = False break above highs → reversal down
Marked with yellow labels on chart
Valid for 10 bars after occurrence
Break of Structure (BOS)
Identifies when price breaks recent swing high/low
Confirms trend continuation
Marked with small circles on chart
3. Confluence Scoring SystemEach timeframe has a 10-point scoring system based on your checklist requirements:Daily Score (10 points max)
HTF Trend Alignment (2 pts) - 4H and Daily EMAs aligned
SMC Structure (2 pts) - OB in correct zone with HTF bias
Liquidity Sweep (1 pt) - Recent SSL/BSL occurred
Volume Confirmation (1 pt) - Volume > 1.2x 20-period average
Optimal Time (1 pt) - 9:30-12 PM or 2-4 PM ET (avoids lunch)
Risk-Reward >2:1 (1 pt) - Built into exit strategy
Clean Price Action (1 pt) - BOS occurred
FVG Present (1 pt) - Near unfilled fair value gap
Minimum Required: 6/10 (adjustable)Weekly Score (10 points max)
Weekly/Monthly Alignment (2 pts) - W and M EMAs aligned
Daily/Weekly Alignment (2 pts) - D and W trends match
Premium/Discount Correct (2 pts) - Deep zone + trend alignment
Major Liquidity Event (1 pt) - SSL/BSL sweep
Order Block Present (1 pt) - Valid OB detected
Risk-Reward >3:1 (1 pt) - Built into exit
Fresh Order Block (1 pt) - OB < 10 bars old
Minimum Required: 7/10 (adjustable)Monthly Score (10 points max)
Monthly/Weekly Alignment (2 pts) - M and W trends match
Weekly OB in Monthly Zone (2 pts) - OB in deep discount/premium
Major Liquidity Sweep (2 pts) - Significant SSL/BSL
Strong Trend Alignment (2 pts) - D, W, M all aligned
Risk-Reward >4:1 (1 pt) - Built into exit
Extreme Zone (1 pt) - Price <20% or >80% of range
Minimum Required: 8/10 (adjustable)4. Entry ConditionsDaily Long Entry
✅ Daily score ≥ 6/10
✅ 4H trend bullish (price > EMAs)
✅ Price in discount zone
✅ Bullish OB OR SSL sweep OR near bullish FVG
✅ NOT during avoid times (lunch/first 5 min)Daily Short Entry
✅ Daily score ≥ 6/10
✅ 4H trend bearish
✅ Price in premium zone
✅ Bearish OB OR BSL sweep OR near bearish FVG
✅ NOT during avoid timesWeekly Long Entry
✅ Weekly score ≥ 7/10
✅ Weekly trend bullish
✅ Daily trend bullish
✅ Price in discount
✅ Bullish OB OR SSL sweepWeekly Short Entry
✅ Weekly score ≥ 7/10
✅ Weekly trend bearish
✅ Daily trend bearish
✅ Price in premium
✅ Bearish OB OR BSL sweepMonthly Long Entry
✅ Monthly score ≥ 8/10
✅ Monthly trend bullish
✅ Weekly trend bullish
✅ Price in DEEP discount (<30%)
✅ Bullish order block presentMonthly Short Entry
✅ Monthly score ≥ 8/10
✅ Monthly trend bearish
✅ Weekly trend bearish
✅ Price in DEEP premium (>70%)
✅ Bearish order block present5. Automated Risk ManagementPosition Sizing (Per Entry)
Daily: 1.0% account risk per trade
Weekly: 0.75% account risk per trade
Monthly: 0.5% account risk per trade
Formula:
Contracts = (Account Equity × Risk%) ÷ (Stop Points × $50)
Minimum = 1 contractStop Losses
Daily: 12 points ($600 per contract)
Weekly: 40 points ($2,000 per contract)
Monthly: 100 points ($5,000 per contract)
Profit Targets (Risk:Reward)
Daily: 2:1 = 24 points ($1,200 profit)
Weekly: 3:1 = 120 points ($6,000 profit)
Monthly: 4:1 = 400 points ($20,000 profit)
Example with $50,000 AccountDaily Trade:
Risk = $500 (1% of $50k)
Stop = 12 points × $50 = $600
Contracts = $500 ÷ $600 = 0.83 → 1 contract
Target = 24 points = $1,200 profit
Weekly Trade:
Risk = $375 (0.75% of $50k)
Stop = 40 points × $50 = $2,000
Contracts = $375 ÷ $2,000 = 0.18 → 1 contract
Target = 120 points = $6,000 profit
Monthly Trade:
Risk = $250 (0.5% of $50k)
Stop = 100 points × $50 = $5,000
Contracts = $250 ÷ $5,000 = 0.05 → 1 contract
Target = 400 points = $20,000 profit
6. Visual Elements on ChartKey Levels
Previous Daily High/Low - Red/Green solid lines
Previous Weekly High/Low - Red/Green circles
Previous Monthly High/Low - Red/Green crosses
Equilibrium Line - White dotted line (50% of range)
Zones
Premium Zone - Light red shading (upper 50%)
Discount Zone - Light green shading (lower 50%)
SMC Markings
Bullish Order Blocks - Green boxes with "Bull OB" label
Bearish Order Blocks - Red boxes with "Bear OB" label
Bullish FVGs - Green boxes with "FVG↑"
Bearish FVGs - Red boxes with "FVG↓"
Liquidity Sweeps - Yellow "SSL" (down) or "BSL" (up) labels
Break of Structure - Small lime/red circles
Entry Signals
Daily Long - Small lime triangle ▲ with "D" below price
Daily Short - Small red triangle ▼ with "D" above price
Weekly Long - Medium green triangle ▲ with "W" below price
Weekly Short - Medium maroon triangle ▼ with "W" above price
Monthly Long - Large aqua triangle ▲ with "M" below price
Monthly Short - Large fuchsia triangle ▼ with "M" above price
7. Information TablesConfluence Score Table (Top Right)
┌──────────┬────────┬────────┬────────┐
│ TF │ SCORE │ STATUS │ SIGNAL │
├──────────┼────────┼────────┼────────┤
│ 📊 DAILY │ 7/10 │ ✓ PASS │ 🔼 │
│ 📈 WEEKLY│ 6/10 │ ✗ WAIT │ ━ │
│ 🌙 MONTH │ 9/10 │ ✓ PASS │ 🔽 │
├──────────┴────────┴────────┴────────┤
│ P&L: $2,450 │
└─────────────────────────────────────┘
Green scores = Pass (meets minimum threshold)
Orange/Red scores = Fail (wait for better setup)
🔼 = Long signal active
🔽 = Short signal active
━ = No signal
Entry Checklist Table (Bottom Right)
┌──────────────┬───┐
│ CHECKLIST │ ✓ │
├──────────────┼───┤
│ ━ DAILY ━ │ │
│ HTF Trend │ ✓ │
│ Zone │ ✓ │
│ OB │ ✗ │
│ Liq Sweep │ ✓ │
│ Volume │ ✓ │
│ ━ WEEKLY ━ │ │
│ W/M Align │ ✓ │
│ Deep Zone │ ✗ │
│ ━ MONTHLY ━ │ │
│ M/W/D Align │ ✓ │
│ Zone: Discount│ │
└──────────────┴───┘
Green ✓ = Condition met
Red ✗ = Condition not met
Real-time updates as market conditions change
8. Alert SystemIndividual Alerts:
"Daily Long" - Triggers when daily long setup appears
"Daily Short" - Triggers when daily short setup appears
"Weekly Long" - Triggers when weekly long setup appears
"Weekly Short" - Triggers when weekly short setup appears
"Monthly Long" - Triggers when monthly long setup appears
"Monthly Short" - Triggers when monthly short setup appears
Combined Alerts:
"Any Long Signal" - Catches any bullish opportunity (D/W/M)
"Any Short Signal" - Catches any bearish opportunity (D/W/M)
Alert Messages Include:
🔼/🔽 Direction indicator
Timeframe (DAILY/WEEKLY/MONTHLY)
Current confluence score
RSI Divergences KittenRSI Divergences + Adjustable RSI σ-Bands + Band Pierce Signals (with optional US weekend filter)
Description:
This indicator combines three RSI tools into one clean workflow:
1. RSI σ-Bands (mean ± k·σ)
It builds dynamic upper/lower bands around RSI using a moving mean and standard deviation. These bands adapt to regime changes (expanding in volatile periods, contracting in quiet periods). Bands can be clipped to RSI’s natural 0–100 range and optionally filled for readability.
2. Band “Pierce” Signals
It prints a marker when RSI crosses outside the upper band (overextension) or outside the lower band (underextension). These pierces are useful as timing signals for mean-reversion setups, especially when you expect price to revert back toward a reference mean (e.g., VWAP). Optional “re-entry” markers show when RSI crosses back inside the bands.
3. Proper RSI Divergences (Regular + Hidden)
Divergences are detected using RSI pivots (not price pivots). At each RSI pivot, the script samples the corresponding price high/low on that pivot bar and compares it to the previous pivot within a configurable bar-distance window.
• Bullish divergence: price lower low + RSI higher low
• Hidden bullish: price higher low + RSI lower low
• Bearish divergence: price higher high + RSI lower high
• Hidden bearish: price lower high + RSI higher high
Line width is configurable for visibility.
Manual Band Adjustment (Near-Miss Control):
If your best reversals “nearly” tag the band, you can manually tune sensitivity without rewriting the math:
• Band offset (RSI points): nudges trigger levels
• Band width scale: tightens/widens the σ-band envelope
US Weekend Filter (Optional):
You can optionally suppress pierce/divergence signals during US weekend hours (Fri 17:00 ET → Sun 17:00 ET) and optionally shade those periods to help isolate low-liquidity behavior.
Notes / Intended Use:
This is designed as a mean-reversion timing tool, not a standalone trading system. For best results, combine signals with a market “mean” (e.g., rolling VWAP) and basic risk controls.
Gann Octave 8 Ver.2.0Gann Octave 8 Ver.2.0 - Complete Trading Guide
Overview
This indicator combines W.D. Gann's time-tested principles of market geometry with modern technical analysis. It identifies key market structures and projects precise support/resistance levels along with angular momentum lines to help traders identify high-probability trading opportunities.
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Core Concepts
1. Gann's Octave Division (The Rule of 8)
W.D. Gann discovered that markets move in harmonic divisions based on the number 8. This indicator divides any swing movement into 8 equal parts (octaves):
• 0% - Swing extreme (High for bearish, Low for bullish)
• 12.5% - First octave
• 25% - Quarter level
• 37.5% - Three-eighths level
• 50% - Midpoint (most critical level)
• 62.5% - Five-eighths level
• 75% - Three-quarter level
• 87.5% - Seventh octave
• 100% - Swing extreme (opposite end)
Why 8? Gann believed natural market cycles follow mathematical harmonics. The octave division provides precise entry and exit points that frequently act as support/resistance zones.
2. Gann Angles (Price-Time Relationship)
Gann angles represent the relationship between price movement and time. Each angle shows different momentum levels:
• 1x1 (Black) - 45° angle, perfect balance between price and time. Most important Gann angle. Represents the natural trend line.
• 2x1 (Red) - Steeper angle, 2 units of price per 1 unit of time. Shows strong momentum.
• 1x2 (Red) - Flatter angle, 1 unit of price per 2 units of time. Shows weak momentum.
• 4x1 & 1x4 (Blue) - Even more extreme angles indicating very strong or very weak trends.
• 8x1 & 1x8 (Orange) - Most extreme angles, parabolic moves or complete consolidation.
Key Principle: When price is above the 1x1 angle = bullish. Below 1x1 = bearish. When price crosses from one angle to another, it signals a change in momentum.
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How the Indicator Works
Structure Detection
The indicator automatically identifies market swings using pivot points:
1. Bullish Structure (Green): Detected when price makes a higher high
o Octave levels calculated from swing low (0%) to swing high (100%)
o Gann angles project upward from the swing low
2. Bearish Structure (Red): Detected when price makes a lower low
o Octave levels calculated from swing high (0%) to swing low (100%)
o Gann angles project downward from the swing high
Dynamic Updates
• Swing Tracker ON: Levels update continuously as the swing evolves
• Swing Tracker OFF: Levels lock at the initial swing detection (cleaner charts)
Historical Structures
The indicator maintains previous swing structures based on "Number of Swings to Show":
• Set to 1: Only current structure (cleanest)
• Set to 2-3: Current + recent history (recommended for context)
• Set to 4+: Multiple historical structures (may overlap but shows pattern)
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Trading Strategy
Entry Signals
BUY SIGNALS (Green Triangle Up ▲)
Signal 1: Bounce from Support Levels
• Price drops to 0%, 50%, or 100% level and reverses
• Best when combined with bullish candlestick pattern (hammer, engulfing)
• Entry: On signal confirmation
• Stop Loss: Below the support level (0.5-1% below)
• Target: Next octave level up (12.5%, 25%, 50%)
Signal 2: Breakout Above Resistance
• Price breaks above 50% or 100% level with momentum
• Confirms trend continuation or reversal
• Entry: On close above the level
• Stop Loss: Below the breakout level
• Target: Previous swing high or next major level
Signal 3: Gann Angle Support
• Price bounces off 1x1 angle (black line)
• Indicates trend is intact
• Entry: When price respects the angle
• Stop Loss: Below the 1x1 angle
• Target: Next resistance level
SELL SIGNALS (Red Triangle Down ▼)
Signal 1: Rejection from Resistance Levels
• Price rallies to 0%, 50%, or 100% level and reverses
• Best when combined with bearish candlestick pattern (shooting star, bearish engulfing)
• Entry: On signal confirmation
• Stop Loss: Above the resistance level (0.5-1% above)
• Target: Next octave level down (87.5%, 75%, 50%)
Signal 2: Breakdown Below Support
• Price breaks below 50% or 0% level with momentum
• Confirms trend continuation or reversal
• Entry: On close below the level
• Stop Loss: Above the breakdown level
• Target: Previous swing low or next major level
Signal 3: Gann Angle Resistance
• Price fails at 1x1 angle (black line)
• Indicates trend weakness
• Entry: When price rejects the angle
• Stop Loss: Above the 1x1 angle
• Target: Next support level
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Advanced Trading Techniques
1. The 50% Rule (Most Powerful)
The 50% octave level is the most critical in Gann theory:
• In Uptrend: Price should not break below 50% retracement. If it holds = trend intact, go long.
• In Downtrend: Price should not break above 50% retracement. If it holds = trend intact, go short.
• Reversal: Breaking and closing beyond 50% often signals trend reversal.
2. Gann Angle Confluence
When multiple Gann angles converge with octave levels = HIGH probability zone:
• Look for price to bounce or reverse at these zones
• Example: 1x2 angle meets 50% level = strong support/resistance
• These zones often become pivot points
3. Multiple Timeframe Analysis
• Use higher timeframe (daily) for major structure
• Use lower timeframe (5min, 15min) for precise entries
• Take trades when both timeframes align
4. Swing Failure Pattern
• Price breaks a key level (e.g., 50%) but quickly reverses back
• This "false breakout" often leads to strong move in opposite direction
• Wait for signal in the reversal direction
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Settings Optimization
For Day Trading (Scalping)
• Structure Period: 0-2 (22 bars or less)
• Number of Swings: 1 (only current structure)
• Signal Sensitivity: High
• Swing Tracker: OFF (cleaner)
For Swing Trading
• Structure Period: 4-5 (44-88 bars)
• Number of Swings: 2-3
• Signal Sensitivity: Medium
• Swing Tracker: ON or OFF (preference)
For Position Trading
• Structure Period: 6-8 (176+ bars)
• Number of Swings: 3-5
• Signal Sensitivity: Low
• Swing Tracker: ON
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Common Patterns to Watch
Bullish Reversal Setup
1. Price in bearish structure (red levels)
2. Price drops to 100% level (swing low)
3. Buy signal appears (green triangle)
4. Price breaks back above 50% level
5. Action: Go long with stop below 100%
Bearish Reversal Setup
1. Price in bullish structure (green levels)
2. Price rises to 100% level (swing high)
3. Sell signal appears (red triangle)
4. Price breaks back below 50% level
5. Action: Go short with stop above 100%
Trend Continuation
1. Price respects 1x1 Gann angle
2. Small pullback to 25% or 37.5% level
3. Buy/sell signal appears
4. Action: Enter in trend direction
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Signal Sensitivity Guide
• Low: Conservative, only major breakouts (3-5 signals per day)
• Medium: Balanced, includes approaches (5-10 signals per day)
• High: Aggressive, includes bounces (10-20 signals per day)
Choose based on your trading style and risk tolerance
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Final Words
This indicator is a powerful tool, but remember:
"The market is never wrong. Opinions are." - W.D. Gann
• No indicator is 100% accurate
• Always combine with price action and volume
• Backtest on your instrument and timeframe
• Keep learning and adapting your strategy
• Discipline and risk management are more important than the perfect setup
Happy Trading! 📈
