BE-QuantFlow: Adaptive Momentum Trading█ Overview: QuantFlow: Adaptive Momentum Trading
QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. However, its logic is universal; with appropriate parameter tuning, it adapts to various asset classes and timeframes.
While the standard momentum indicators (like RSI or MACD) simply measure how fast price is moving (Velocity), QuantFlow analyzes the quality and conviction of the trend . Features like Dynamic Volatility Filtering and Trend Shielding, combined with volatility weighting and a "Dual-Line" approach to distinguish between a sustainable institutional trend and a temporary retail spike, make the indicator unique and more powerful.
█ Why QuantFlow ?
Quant (The Engine): This replaces subjective guessing with objective math.
Instead of just seeing that the price is "up," we measure "how it got there". For example, a stock that rises 1 currency value every day for 10 days (smooth trend) gets a much higher score than a stock that jumps 10 currency value in one minute and does nothing else (erratic noise). This mathematical rigor provides the structure.
█ Core Logic & Philosophy
To understand how QuantFlow calculates momentum, imagine a "Tug-of-War" between Buyers (Bulls) and Sellers (Bears). Most indicators (like RSI) use a single line. If RSI is at 50, it means "Neutral." But "Neutral" can mean two very different things:
Peace: Nothing is happening. No one is buying or selling.
War: Buyers are pushing hard, but Sellers are pushing back equally hard. Volatility is massive.
A single line hides this reality. QuantFlow splits the market into two separate scores:
Bull Score (Green Line): How hard are the buyers pushing?
Bear Score (Red Line): How hard are the sellers pushing?
The Layman's Advantage:
If both lines are low = Sleepy Market (Avoid).
If Green is high and Red is low = Clean Uptrend (Buy).
If Red is high and Green is low = Clean Downtrend (Sell).
If both lines are high = Chaos/War Zone (Wait).
█ How it Weight "Sustenance" (The Critical Quality Check)
This is the most unique aspect of QuantFlow: Trend direction alone is not enough; Sustenance is weighed equally . Standard indicators treat every 10 currency value movements the same way with no distinction. However, QuantFlow asks, "Did you hold the ground you gained?"
Scenario A (High Sustenance) : A stock opens at 100, marches to 110, and closes at 110.
Verdict : Buyers pushed up and sustained the price.
QuantFlow Weight : 100%. This is a high-quality move.
Scenario B (Low Sustenance) : A stock opens at 100, spikes to 110, but gets sold off to close at 102.
Verdict : Buyers pushed up (Trend is Up), but failed to sustain it (Long Wick).
QuantFlow Weight : 20%. This is treated as "Noise" or a trap.
By mathematically weighing the Close Location Value (where the candle closes relative to its high/low), QuantFlow filters out "Gap-and-Fade" traps and exhaustion spikes that fool traditional indicators.
Comparisons: QuantFlow vs. The Rest
Calculation Logic : Standard RSI/MACD measures simple price change over time. QuantFlow measures Price Change 'times (x)' Conviction (Sustenance Weighting).
Visual Output : Standard tools show a single line (0-100), often hiding market conflict. QuantFlow displays Dual Lines (Bull vs Bear Intensity) to reveal the true state of the battle.
Trap Handling : Standard indicators are often fooled by sharp spikes. QuantFlow ignores "Gap-and-Fade" moves with poor closing conviction.
Adaptability : Standard tools use static levels (e.g., Overbought > 70). QuantFlow uses Dynamic Bands that adjust automatically to recent volatility.
█ Dynamic Volatility Filtering
Unlike standard indicators that use fixed levels (e.g., "Buy if RSI > 50"), QuantFlow acknowledges that "50" means something different in a quiet market versus a crashing market. This section explains the statistical engine driving the signals.
The Problem with Static Levels : In a low-volatility environment, a momentum score of 55 might indicate a massive breakout. In a high-volatility environment, a score of 55 might just be random noise. A fixed threshold cannot handle both scenarios.
The Solution: Adaptive Statistics : The script maintains a memory of the Momentum Events. It doesn't just look at price; it looks at where the momentum occurred in the past and draws a "Noise Zone" (Grey Band). This logic acts as a "Smart Gatekeeper" for trade entries:
Scenario A: Inside the Noise (The Filter)
If a new momentum signal happens inside the Noise Zone, the script assumes it is likely chop or noise.
Action : It forces a wait period. The signal is delayed until the trend sustains itself for Confirm Bars; else the signal is cancelled. This filters out ~70% of false signals in sideways markets.
Scenario B: Outside the Noise (The Breakout)
If a new momentum signal happens outside the Noise Zone (or the momentum score smashes through the Upper Band), it is statistically significant (an outlier event).
Action: It triggers an Immediate Entry. No waiting is required because the move is powerful enough to escape the historical noise zone.
█ The ⚠️ "Warning" System (Heads-up for Smart Reversals)
While you are directional if there is potential reversal signal, it provides the heads-up warning for a better decision-making
█ Special Utility: Ghost Mode
For intraday traders, the biggest disruption to "Flow" is the mandatory broker square-off at 3:15 PM (considering Indian Market). Often, a trend continues overnight, and the trader misses the gap-up opening the next morning because their algo was flat.
Ghost Mode is a unique feature that runs silently in the background:
At Square-off: The strategy closes your official position to satisfy the broker.
In the Background: It keeps the trade "alive" virtually (Ghost).
Next Morning: If the market opens in the trend's favor, the strategy re-enters the trade automatically. This approach ensures you capture the full swing of the trend, even if you are forced to exit at the previous session.
█ Advice on this indicator:
Parameter Calibration: The default settings are optimized for BankNifty on 5-minute charts. If you trade stocks, crypto, commodities, or any higher timeframes (e.g., 15-min or hourly), you must adjust these.
Low Volatility Assets: Reduce Stop Multiplier to 2.0.
High Volatility Assets: Increase Momentum Lookback to 50 to filter noise.
Confluence (Additional Confirmation): While QuantFlow is a complete system, using it alongside Key Support/Resistance Levels or Volume Profile provides the highest probability setups.
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Market Regime | NY Session Killzones Indicator [ApexLegion]Market Regime | NY Session Killzones Indicator
Introduction and Theoretical Background
The Market Regime | NY Session Killzones indicator is designed exclusively for New York market hours (07:00-16:00 ET). Unlike universal indicators that attempt to function across disparate global sessions, this tool employs session-specific calibration to target the distinct liquidity characteristics of the NY trading day: Pre-Market structural formation (08:00-09:30), the Morning breakout window (09:30-12:00), and the Afternoon Killzone (13:30-16:00)—periods when institutional order flow exhibits the highest concentration and most definable technical structure. By restricting its operational scope to these statistically significant time windows, the indicator focuses on signal relevance while filtering the noise inherent in lower-liquidity overnight or extended-hours trading environments.
I. TECHNICAL RATIONALE: THE PRINCIPLE OF CONTEXTUAL FUSION
1. The Limitation of Acontextual Indicators
Traditional technical indicators often fail because they treat every bar and every market session equally, applying static thresholds (e.g., RSI > 70) without regard for the underlying market structure or liquidity environment. However, institutional volume and market volatility are highly dependent on the time of day (session) and the prevailing long-term risk environment.
This indicator was developed to address this "contextual deficit" by fusing three distinct yet interdependent analytical layers:
• Time and Structure (Macro): Identifying high-probability trading windows (Killzones) and critical structural levels (Pre-Market Range, PDH/PDL).
• Volatility and Scoring (Engine): Normalizing intraday momentum against annual volatility data to create an objective, statistically grounded AI Score.
• Risk Management (Execution): Implementing dynamic, volatility-adjusted Stop Loss (SL) and Take Profit (TP) parameters based on the Average True Range (ATR).
2. The Mandate for 252-Day Normalization (Z-Score)
What makes this tool unique is its 252-day Z-Score normalization engine that transforms raw momentum readings into statistically grounded probability scores, allowing the same indicator to deliver consistent, context-aware signals across any timeframe—from 1-minute scalping to 1-hour swing trades—without manual recalibration.
THE PROBLEM OF SCALE INVARIANCE
A high Relative Strength Index (RSI) reading on a 1-minute chart has a completely different market implication than a high RSI reading on a Daily chart. Simple percentage-based thresholds (like 70 or 30) do not provide true contextual significance. A sudden spike in momentum may look extreme on a 5-minute chart, but if it is statistically insignificant compared to the overall volatility of the last year, it may be a poor signal.
THE SOLUTION: CROSS-TIMEFRAME Z-SCORE NORMALIZATION
This indicator utilizes the Pine Script function request.security to reference the Daily timeframe for calculating the mean (μ) and standard deviation (σ) of a momentum oscillator (RSI) over the past 252 trading days (one year).
The indicator then calculates the Z-Score (Z) for the current bar's raw momentum (x): Z = (x - μ) / σ
Core Implementation: float raw_rsi = ta.rsi(close, 14) // x
= request.security(syminfo.tickerid, "D",
, // σ (252 days)
lookahead=barmerge.lookahead_on)
float cur_rsi_norm = d_rsi_std != 0 ? (raw_rsi - d_rsi_mean) / d_rsi_std : 0.0 // Z
This score provides an objective measurement of current intraday momentum significance by evaluating its statistical extremity against the yearly baseline of daily momentum. This standardized approach provides the scoring engine with consistent, global contextual information, independent of the chart's current viewing timeframe.
II. CORE COMPONENTS AND TECHNICAL ANALYSIS BREAKDOWN
1. TIME AND SESSION ANALYSIS (KILLZONES AND BIAS)
The indicator visually segments the trading day based on New York (NY) trading sessions, aligning the analysis with periods of high institutional liquidity events.
Pre-Market (PRE)
• Function: Defines the range before the core market opens. This range establishes structural support and resistance levels (PMH/PML).
• Technical Implementation: Uses a dedicated Session input (ny_pre_sess). The High and Low values (pm_h_val/pm_l_val) within this session are stored and plotted for structural reference.
• Smart Extension Logic: PMH/PML lines are automatically extended until the next Pre-Market session begins, providing continuous support/resistance references overnight.
NY Killzones (AM/PM)
• Function: Highlights high-probability volatility windows where institutional liquidity is expected to be highest (e.g., NY open, lunch, NY close).
• Technical Implementation: Separate session inputs (kz_ny_am, kz_ny_pm) are utilized to draw translucent background fills, providing a clear visual cue for timing.
Market Regime Bias
• Function: Determines the initial directional premise for the trading day. The bias is confirmed when the price breaks either the Pre-Market High (PMH) or the Pre-Market Low (PML).
• Technical Implementation: Involves the comparison of the close price against the predefined structural levels (check_h for PMH, check_l for PML). The variable active_bias is set to Bullish or Bearish upon confirmed breakout.
Trend Bar Coloring
• Function: Applies a visual cue to the bars based on the established regime (Bullish=Cyan, Bearish=Red). This visual filter helps mitigate noise from counter-trend candles.
• Technical Implementation: The Pine Script barcolor() function is tied directly to the value of the determined active_bias.
2. VOLATILITY NORMALIZED SCORING ENGINE
The internal scoring mechanism accumulates points from multiple market factors to determine the strength and validity of a signal. The purpose is to apply a robust filtering mechanism before generating an entry.
The score accumulation logic is based on the following factors:
• Market Bias Alignment (+3 Points): Points are awarded for conformance with the determined active_bias (Bullish/Bearish).
• VWAP Alignment (+2 Points): Assesses the position of the current price relative to the Volume-Weighted Average Price (VWAP). Alignment suggests conformity with the average institutional transaction price.
• Volume Anomaly (+2 Points): Detects a price move accompanied by an abnormally high relative volume (odd_vol_spike). This suggests potential institutional participation or significant order flow.
• VIX Integration (+2 Points): A score derived from the CBOE VIX index, assessing overall market stability and stress. Stable VIX levels add points, while high VIX levels (stress regimes) remove points or prevent signal generation entirely.
• ML Probability Score (+3 Points): This is the core predictive engine. It utilizes a Log-Manhattan Distance Kernel to compare the current market state against historical volatility patterns. The script implements a Log-linear distance formula (log(1 + |Δ|) ). This approach mathematically dampens the impact of extreme volatility spikes (outliers), ensuring that the similarity score reflects true structural alignment rather than transient market noise.
Core Technical Logic (Z-Score Normalization)
float cur_rsi_norm = d_rsi_std != 0 ? (raw_rsi - d_rsi_mean) / d_rsi_std : 0.0
• Technical Purpose: This line calculates the Z-Score (cur_rsi_norm) of the current momentum oscillator reading (raw_rsi) by normalizing it against the mean (d_rsi_mean) and standard deviation (d_rsi_std) derived from 252 days of Daily momentum data. If the standard deviation is zero (market is perfectly flat), it safely returns 0.0 to prevent division by zero runtime errors. This allows the AI's probability score to be based on the current signal's significance within the context of the entire trading year.
3. EXECUTION AND RISK MANAGEMENT (ATR MODEL)
The indicator utilizes the Average True Range (ATR) volatility model. This helps risk management scale dynamically with market volatility by allowing users to define TP/SL distances independently based on the current ATR.
Stop Loss Multiplier (sl_mult)
• Function: Sets the Stop Loss (SL) distance as a configurable multiple of the current ATR (e.g., 1.5 × ATR).
• Technical Logic: The price level is calculated as: last_sl_price := close - (atr_val * sl_mult). The mathematical sign is reversed for short trades.
Take Profit Multiplier (tp_mult)
• Function: Sets the Take Profit (TP) distance as a configurable multiple of the current ATR (e.g., 3.0 × ATR).
• Technical Logic: The price level is calculated as: last_tp_price := close + (atr_val * tp_mult). The mathematical sign is reversed for short trades.
Structural SL Option
• Function: Provides an override to the ATR-based SL calculation. When enabled, it forces the Stop Loss to the Pre-Market High/Low (PMH/PML) level, aligning the stop with a key institutional structural boundary.
• Technical Logic: The indicator checks the use_struct_sl input. If true, the calculated last_sl_price is overridden with either pm_h_val or pm_l_val, dependent on the specific trade direction.
Trend Continuation Logic
• Function: Enables signal generation in established, strong trends (typically in the Afternoon session) based on follow-through momentum (a new high/low of the previous bar) combined with a high Signal Score, rather than exclusively relying on the initial PMH/PML breakout.
• Technical Logic: For a long signal, the is_cont_long logic specifically requires checks like active_bias == s_bull AND close > high , confirming follow-through momentum within the established regime.
Smart Snapping & Cleanup (16:00 Market Close)
• Function: To maintain chart cleanliness, all trade boxes (TP/SL), AI Prediction zones, Killzone overlays (NY AM/PM), and Liquidity lines (PDH/PDL) are automatically "snapped" and cut off precisely at 16:00 NY Time (Market Close).
• Technical Logic: When is_market_close condition is met (hour == 16 and minute == 0), the script executes cleanup logic that:
◦ Closes active trades and evaluates final P&L
◦ Snaps all TP/SL box widths to current bar
◦ Truncates AI Prediction ghost boxes at market close
◦ Cuts off NY AM/PM Killzone background fills
◦ Terminates PDH/PDL line extensions
◦ Prevents visual clutter from extending into post-market sessions
4. LIQUIDITY AND STRUCTURAL ANALYSIS
The indicator plots key structural levels that serve as high-probability magnet zones or areas of potential liquidity absorption.
• Pre-Market High/Low (PMH/PML): These are the high and low established during the configured pre-market session (ny_pre_sess). They define the primary structural breakout level for the day, often serving as the initial market inflection point or the key entry level for the morning session.
• PDH (Previous Day High): The high of the calendar day immediately preceding the current bar. This represents a key Liquidity Pool; large orders are often placed above this level, making it a frequent target for stop hunts or liquidity absorption by market makers.
• PDL (Previous Day Low): The low of the calendar day immediately preceding the current bar. This also represents a key Liquidity Pool and a high-probability reversal or accumulation point, particularly during the Killzones.
FIFO Array Management
The indicator uses FIFO (First-In-First-Out) array structures to manage liquidity lines and labels, automatically deleting the oldest objects when the count exceeds 500 to comply with drawing object limits.
5. AI PREDICTION BOX (PREDICTIVE MODEL)
Function: Analyzes AI scores and volatility to project predicted killzone ranges and duration with asymmetric directional bias.
A. DIRECTIONAL BIAS (ASYMMETRIC EXPANSION)
The prediction model calculates directional probability using the ML kernel's 252-day Normalized RSI (Z-Score) and Relative Volume (RVOL). The prediction box dynamically adjusts its range based on this probability to provide immediate visual feedback on high-probability direction.
Bullish Scenario (ml_prob > 1.0):
• Upper Range: Expands significantly (1.5x multiplier) to show the aggressive upside target
• Lower Range: Tightens (0.5x multiplier) to show the invalidation level
• Visual Intent: The box is visibly skewed upward, immediately communicating bullish bias without requiring numerical analysis.
Bearish Scenario (ml_prob < -1.0):
• Upper Range: Tightens (0.5x multiplier) to show the invalidation level
• Lower Range: Expands significantly (1.5x multiplier) to show the aggressive downside target
• Visual Intent: The box is visibly skewed downward, immediately communicating bearish bias.
Neutral Scenario (-1.0 < ml_prob < 1.0):
Both ranges use balanced multipliers, creating a symmetrical box that indicates uncertainty.
B. DYNAMIC VOLATILITY BOOSTER (SESSION-BASED ADAPTATION)
The prediction box adjusts its volatility multiplier based on the current session and market conditions to account for intraday volatility patterns.
AM Session (Morning: 07:00-12:00):
• Base Multiplier: 1.0x (Neutral Base)
• Logic: Morning sessions often contain false breakouts and noise. The base multiplier starts neutral to avoid over-projecting during consolidation.
• Trend Booster: Multiplier jumps to 1.5x when:
Price > London Session Open AND AI is Bullish (ml_prob > 0), OR
Price < London Session Open AND AI is Bearish (ml_prob < 0)
• Logic: When the London trend (typically 03:00-08:00 NY time) aligns with the AI model's directional conviction, the indicator aggressively targets higher volatility expansion. This filters for "institutional follow-through" rather than random morning chop.
PM Session (Afternoon: 13:00-16:00):
• Fixed Multiplier: 1.8x
• Logic: The PM session, particularly the 13:30-16:00 ICT Silver Bullet window, often contains the "True Move" of the day. A higher baseline multiplier is applied to emphasize this session's significance over morning noise.
Safety Floor:
A minimum range of 0.2% of the current price is enforced regardless of volatility conditions.
• Purpose: Maintains the prediction box visibility during extreme low-volatility consolidation periods where ATR might collapse to near-zero values.
Volatility Clamp Protection:
Maximum volatility is capped at three times the current ATR value. During flash crashes, circuit breaker halts, or large overnight gaps, raw volatility calculations can spike to extreme levels. This clamp prevents prediction boxes from expanding to unrealistic widths.
Technical Implementation:
f_get_ai_multipliers(float _prob) =>
float _abs_prob = math.abs(_prob)
float _range_mult = 1.0
float _dur_mult = 1.0
if _abs_prob > 30
_range_mult := 1.8
else if _abs_prob > 10
_range_mult := 1.2
else
_range_mult := 0.7
C. PRACTICAL INTERPRETATION
• Wide Upper Range + Tight Lower Range: Strong bullish conviction. The model expects significant upside with limited downside risk.
• Tight Upper Range + Wide Lower Range: Strong bearish conviction. The model expects significant downside with limited upside.
• Symmetrical Range: Neutral/uncertain market. Wait for directional confirmation before entry.
• Large Box (Extended Duration): High-confidence prediction expecting sustained movement.
• Small Box (Short Duration): Low-confidence or choppy conditions. Expect quick resolution.
III. PRACTICAL USAGE GUIDE: METHODOLOGY AND EXECUTION
A. ESTABLISHING TRADING CONTEXT (THE THREE CHECKS)
The primary goal of the dashboard is to filter out low-probability trade setups before they occur.
• Timeframe Selection: Although the core AI is normalized to the Daily context, the indicator performs optimally on intraday timeframes (e.g., 5m, 15m) where session-based volatility is most pronounced.
• PHASE Check (Timing): Always confirm the current phase. The highest probability signals typically occur within the visually highlighted NY AM/PM Killzones because this is when institutional liquidity and volume are at their peak. Signals outside these zones should be treated with skepticism.
• MARKET REGIME Check (Bias): Ensure the signal (BUY/SELL arrow) aligns with the established MARKET REGIME bias (BULLISH/BEARISH). Counter-bias signals are technically allowed if the score is high, but they represent a higher risk trade.
• VIX REGIME Check (Risk): Review the VIX REGIME for overall market stress. Periods marked DANGER (high VIX) indicate elevated volatility and market uncertainty. During DANGER regimes, reducing position size or choosing a wider SL Multiplier is advisable.
B. DASHBOARD INTERPRETATION (THE REAL-TIME STATUS DISPLAY)
The indicator features a non-intrusive dashboard that provides real-time, context-aware information based on the core analytical engines.
PHASE: (PRE-MARKET, NY-AM, LUNCH, NY-PM)
• Meaning: Indicates the current institutional session time. This is derived from the customizable session inputs.
• Interpretation: Signals generated during NY-AM or NY-PM (Killzones) are generally considered higher-probability due to increased institutional participation and liquidity.
MARKET REGIME: (BULLISH, BEARISH, NEUTRAL)
• Meaning: The established directional bias for the trading day, confirmed by the price breaking above the Pre-Market High (PMH) or below the Pre-Market Low (PML).
• Interpretation: Trading with the established regime (e.g., taking a BUY signal when the regime is BULLISH) is the primary method. NEUTRAL indicates that the PMH/PML boundary has not yet been broken, suggesting market ambiguity.
VIX REGIME: (STABLE, DANGER)
• Meaning: A measure of overall market stress and stability, based on the CBOE VIX index integration. The thresholds (20.0 and 35.0 default) are customizable by the user.
• Interpretation: STABLE indicates stable volatility, favoring momentum trades. DANGER (VIX > 35.0) indicates extreme stress; signals generated in this environment require caution and often necessitate smaller position sizing.
SIGNAL SCORE: (0 to 10+ Points)
• Meaning: The accumulated score derived from the VOLATILITY NORMALIZED AI SCORING ENGINE, factoring in bias, VWAP alignment, volume, and the Z-Score probability.
• Interpretation: The indicator generates a signal when this score meets or exceeds the Minimum Entry Score (default 3). A higher score (e.g., 7+) indicates greater statistical confluence and a stronger potential entry.
AI PROBABILITY: (Bull/Bear %)
• Meaning: Directional probability derived from the ML kernel, expressed as a percentage with Bull/Bear label.
• Interpretation: Higher absolute values (>20%) indicate stronger directional conviction from the ML model.
LIVE METRICS SECTION:
• STATUS: Shows current trade state (LONG, SHORT, or INACTIVE)
• ENTRY: Displays the entry price for active trades
• TARGET: Shows the calculated Take Profit level
• ROI | KILL ZONE:
◦ For Active Trades: Displays real-time P&L percentage during NY session hours.
◦ At Market Close (16:00 NY): Since this is a NY session-specific indicator, any active position is automatically evaluated and closed at 16:00. The final result (VALIDATED or INVALIDATED) is determined based on whether the trade reached profit or loss at market close.
◦ Result Persistence: The killzone result (VALIDATED/INVALIDATED) remains displayed on the dashboard until the next NY AM KILLZONE session begins, providing a clear performance reference for the previous trading day.
Note: If a trade is still trending at 16:00, it will be force-closed and evaluated at that moment, as the indicator operates strictly within NY trading hours.
C. SIGNAL GENERATION AND ENTRY LOGIC
The indicator generates signals based on two distinct technical setups, both of which require the accumulated SIGNAL SCORE to be above the configured Minimum Entry Score.
Breakout Entry
• Trigger Condition: Price closes beyond the Pre-Market High (PMH) or Low (PML).
• Rationale: This setup targets the initial directional movement for the day. A breakout confirms the institutional bias by decisively breaking the first major structural boundary, making the signal high-probability.
Continuation Entry
• Trigger Condition: The market is already in an established regime (e.g., BULLISH), and the price closes above the high (or below the low) of the previous bar, while the SIGNAL SCORE remains high. Requires the Allow Trend Continuation parameter to be active.
• Rationale: This setup targets follow-through trades, typically in the afternoon session, capturing momentum after the morning's direction has been confirmed. This filters for sustainability in the established trend.
Execution: Execute the trade immediately upon the close of the bar that prints the BUY or SELL signal arrow.
D. MANAGING RISK AND EXITS
1. RISK PARAMETER SELECTION
The indicator immediately draws the dynamic TP/SL zones upon entry.
• Volatility-Based (Recommended Default): By setting the SL Multiplier (e.g., 1.5) and the TP Multiplier (e.g., 3.0), the indicator enforces a constant, dynamically sized risk-to-reward ratio (e.g., 1:2 in this example). This helps that risk management scales proportionally with the current market volatility (ATR).
• Structural Override: Selecting the Use Structural SL parameter fixes the stop-loss not to the ATR calculation, but to the more significant structural level of the PMH or PML. This is utilized by traders who favor institutional entry rules where the stop is placed behind the liquidity boundary.
2. EXIT METHODS
• Hard Exit: Price hits the visual TP or SL box boundary.
• Soft Exit (Momentum Decay Filter): If the trade is active and the SIGNAL SCORE drops below the Exit Score Threshold (default 3), it indicates that the momentum supporting the trade has significantly collapsed. This serves as a momentum decay filter, prompting the user to consider a manual early exit even if the SL/TP levels have not been hit, thereby preserving capital during low-momentum consolidation.
• Market Close Auto-Exit: At 16:00 NY time, any active trade is automatically closed and classified as VALIDATED (profit) or INVALIDATED (loss) based on current price vs. entry price.
IV. PARAMETER REFERENCE AND CONFIGURATION
A. GLOBAL SETTINGS
• Language (String, Default: English): Selects the language for the dashboard and notification text. Options: English, Korean, Chinese, Spanish, Portuguese, Russian, Ukrainian, Vietnamese.
B. SESSION TIMES (3 BOX SYSTEM)
• PRE-MARKET (Session, Default: 0800-0930): Defines the session range used for Pre-Market High/Low (PMH/PML) structural calculation.
• REGULAR (Morning) (Session, Default: 0930-1200): Defines the core Morning trading session.
• AFTERNOON (PM) (Session, Default: 1300-1600): Defines the main Afternoon trading session.
• Timezone (String, Default: America/New_York): Sets the timezone for all session and time-based calculations.
C. NY KILLZONES (OVERLAYS)
• Show NY Killzones (Bool, Default: True): Toggles the translucent background fills that highlight high-probability trading times (Killzones).
• NY AM Killzone (Session, Default: 0700-1000): Defines the specific time window for the first key liquidity surge (Open overlap).
• NY PM Killzone (Session, Default: 1330-1600): Defines the afternoon liquidity window, aligned with the ICT Silver Bullet and PM Trend entry timing.
• Allow Entry in Killzones (Bool, Default: True): Enables or disables signal generation specifically during the defined Killzone hours.
• Activate AI Prediction Box (Bool, Default: True): Toggles the drawing of the predicted target range boxes on the chart.
D. CORE SCORING ENGINE
• Minimum Entry Score (Int, Default: 3): The lowest accumulated score required for a Buy/Sell signal to be generated and plotted.
• Allow Trend Continuation (Bool, Default: True): Enables the secondary entry logic that fires signals based on momentum in an established trend.
• Force Ignore Volume (Bool, Default: False): Overrides the volume checks in the scoring engine. Useful for markets where volume data is unreliable or nonexistent.
• Force Show Signals (Ignore Score) (Bool, Default: False): Debug mode that displays all signals regardless of score threshold.
• Integrate CBOE:VIX (Bool, Default: True): Enables the connection to the VIX index for market stress assessment.
• Stable VIX (<) (Float, Default: 20.0): VIX level below which market stress is considered low (increases score).
• Stress VIX (>) (Float, Default: 35.0): VIX level above which market stress is considered high (decreases score/flags DANGER).
• Use ML Probability (Bool, Default: True): Activates the volatility-normalized AI Z-Score kernel. Disabling this removes the cross-timeframe normalization filter.
• Max Learning History (Int, Default: 2000): Maximum number of bars stored in the ML training arrays.
• Normalization Lookback (252 Days) (Int, Default: 252): The number of DAILY bars used to calculate the Z-Score mean and standard deviation (representing approximately 1 year of data).
E. RISK MANAGEMENT (ATR MODEL)
• Use Structural SL (Bool, Default: False): Overrides the ATR-based Stop Loss distance to use the Pre-Market High/Low as the fixed stop level.
• Stop Loss Multiplier (x ATR) (Float, Default: 1.5): Defines the Stop Loss distance in multiples of the current Average True Range (ATR).
• Take Profit Multiplier (x ATR) (Float, Default: 3.0): Defines the Take Profit distance in multiples of the current Average True Range (ATR).
• Exit Score Threshold (<) (Int, Default: 3): The minimum score below which an active trade is flagged for a Soft Exit due to momentum collapse.
F. VISUAL SETTINGS
• Show Dashboard (Bool, Default: True): Toggles the real-time data panel.
• Show NY Killzones (Bool, Default: True): Toggles killzone background fills.
• Show TP/SL Zones (Bool, Default: True): Toggles the drawing of Take Profit and Stop Loss boxes.
• Show Pre-Market Extensions (Bool, Default: True): Extends PM High/Low lines across the entire chart for support/resistance reference.
• Activate AI Prediction Box (Bool, Default: True): Enable or disable the predictive range projection.
• Light Mode Optimization (Bool, Default: True): Toggles dashboard and plot colors for optimal visibility on white (light) chart backgrounds.
• Enforce Trend Coloring (Bool, Default: True): Forces candle colors based on Market Regime (Bullish=Cyan, Bearish=Pink) to emphasize trend direction.
• Label Size (String, Default: Normal): Options: Tiny, Small, Normal.
G. LIQUIDITY POOLS (PDH/PDL)
• Show Liquidity Lines (Bool, Default: True): Toggles the display of the Previous Day High (PDH) and Low (PDL) lines.
• Liquidity High Color (Color, Default: Green): Color setting for the PDH line.
• Liquidity Low Color (Color, Default: Red): Color setting for the PDL line.
🔔 ALERT CONFIGURATION GUIDE
The indicator is equipped with specific alert conditions.
How to Set Up an Alert:
Click the "Alert" (Clock icon) in the top TradingView toolbar.
Select "Market Regime NY Session " from the Condition dropdown menu.
Choose one of the specific trigger conditions below depending on your strategy:
🚀 Available Alert Conditions
1. BUY (Long Entry)
Trigger: Fires immediately when a confirmed Bullish Setup is detected.
Conditions: Market Bias is Bullish (or valid Continuation) + Signal Score ≥ Minimum Entry Score.
Usage: Use this alert to open new Long positions or close existing Short positions.
2. SELL (Short Entry)
Trigger: Fires immediately when a confirmed Bearish Setup is detected.
Conditions: Market Bias is Bearish (or valid Continuation) + Signal Score ≥ Minimum Entry Score.
Usage: Use this alert to open new Short positions or close existing Long positions.
V. IMPORTANT TECHNICAL LIMITATIONS
⚠️ Intraday Only (Timeframe Compatibility)
This indicator is strictly designed for Intraday Timeframes (1m to 4h).
Daily/Weekly Charts: The session logic (e.g., "09:30-16:00") cannot function on Daily bars because a single bar encompasses the entire session. Session boxes, TP/SL zones, and AI prediction boxes will NOT draw on the Daily timeframe. Only the PDH/PDL liquidity lines remain visible on Daily charts. This is expected behavior, not a limitation.
Maximum Supported Timeframe: All visual components (session boxes, killzone overlays, TP/SL zones, AI prediction boxes) are displayed up to the 4-hour timeframe. Above this timeframe, only PDH/PDL lines and the dashboard remain functional.
⚠️ Drawing Object Limit (Max 500)
A single script can display a maximum of 500 drawing objects (boxes/lines) simultaneously.
On lower timeframes (e.g., 1-minute), where many signals and session boxes are generated, older history (typically beyond 10-14 days) will automatically disappear to make room for new real-time data.
For deeper historical backtesting visualization, switch to higher timeframes (e.g., 15m, 1h).
The indicator implements FIFO array management to comply with this limit while maintaining the most recent and relevant visual data.
VI. PRACTICAL TRADING TIPS AND BEST PRACTICES
• Killzone Confirmation: The highest statistical validity is observed when a high-score signal occurs directly within a visible NY AM/PM Killzone. Use the Killzones as a strict time filter.
• Liquidity Awareness (PDH/PDL): Treat the Previous Day High (PDH) and Low (PDL) lines as magnets. If your dynamic Take Profit (TP) is placed just above PDH, consider adjusting your target slightly below PDH or utilizing the Soft Exit, as liquidity absorption at these levels often results in sudden, sharp reversals that stop out a trade just before the target is reached.
• VIX as a Position Sizer: During DANGER VIX regimes, the resulting high volatility means the ATR value will be large. It is prudent to either reduce the SL Multiplier or, more commonly, reduce the overall position size to maintain a constant currency risk exposure per trade.
• Continuation Filter Timing: Trend Continuation signals are most effective during the Afternoon (PM) session when the morning's directional breakout has had time to establish a strong, clear, and sustainable trend. Avoid using them in the initial AM session when the direction is still being contested.
• 16:00 Market Close Rule: All trades, boxes, and lines are automatically cleaned up at 16:00 NY time. This prevents overnight chart clutter and maintains visual clarity.
VII. DISCLAIMER & RISK WARNINGS
• Educational Purpose Only
This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments.
• No Guarantee of Performance
Past performance is not indicative of future results. All metrics displayed on the dashboard (including "ROI" and trade results) are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions.
• High-Risk Warning
Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades.
• Software Limitations
The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
Asian Stop Hunt ModelSTOP HUNT MODEL – STRATEGY DESCRIPTION
The Stop Hunt Model is designed to capture high-probability trades by targeting stop-loss liquidity from retail traders at buy-side and sell-side liquidity zones. The strategy focuses on identifying where liquidity is taken during the Asian session, waiting for a Change of Character (CHoCH), and then entering from unfilled orders (Balanced Price Range / Imbalance) in the direction of the dominant IPDA bias. The objective is to trade from engineered liquidity sweeps toward the next logical liquidity pool, while maintaining strict risk control.
The model operates primarily on the 5-minute chart, with early confirmation on the 3-minute chart. The Asian Killzone is used to define the initial range, plotting its high and low. Higher-timeframe liquidity from Daily, 4H, and 1H charts is marked in advance to provide directional context. IPDA direction is determined using macro alignment such as global interest rate bias and long-term trend behavior.
Once the Asian session concludes, price is expected to sweep either the high or low of the Asian range or the previous day’s high/low. After the liquidity sweep, the market must show a valid CHoCH, confirming a shift in internal structure. Entries are taken only after the formation and retest of a Balanced Price Range (BPR) created by overlapping imbalances. Trades are executed from these imbalance zones, targeting the next liquidity area, with stop loss placed at the most recent swing high or low.
This model prioritizes precision over frequency, aiming for fewer trades with higher reward-to-risk ratios, typically 1:3 or better, and a strict daily risk cap.
CHECKLIST – STOP HUNT MODEL
1.Mark Asian Killzone High and Low
2.Identify IPDA directional bias for the pair
3.Mark Buy-side and Sell-side liquidity from Daily, 4H, and 1H
4.Wait for a liquidity sweep (Asian High/Low or Previous Day High/Low)
5.Confirm a valid CHoCH
6.Identify a valid BPR (overlapping imbalance)
7.Enter trade from the BPR zone
8.Target the next liquidity pool
9.Place stop loss at the last swing high or low
RULES – STOP HUNT MODEL STRATEGY
> Always pre-mark Buy-side and Sell-side liquidity on 1D, 4H, and 1H
> Asian Killzone must complete by 10:30 AM IST
> After Asian close, mark 15-minute timeframe liquidity
> Trade only after the market sweeps the Asian session high or low
> Align trades with IPDA direction:
> Bullish IPDA → Prefer sweep of Asian Low
> Bearish IPDA → Prefer sweep of Asian High
> CHoCH confirmation is mandatory:
> Green CHoCH for bullish setups
> Red CHoCH for bearish setups
Setup conditions:
1. Bullish: CHoCH above price + BPR below price
2. Bearish: CHoCH below price + BPR above price
3.BPR must be formed by overlapping imbalances:
4.Red → Green for bullish
5.Green → Red for bearish
6.Look for V-shaped (bullish) or A-shaped (bearish) candle behavior
7.Entry only on imbalance retest — no chase entries
8.Targets must be killzone extremes or next liquidity zone
9.Stop loss must always be at the last swing high or low
10.No manual exits if aiming for 1:3 RR
11.If price sweeps both sides or no clean sweep occurs → No Trade
12.Trade less, execute cleaner setups
13.Daily target: 1% maximum
Pulse Volume Commitment [JOAT]
Pulse Volume Commitment - Three-Dimensional Momentum Analysis
Introduction and Purpose
Pulse Volume Commitment is an open-source oscillator indicator that analyzes price action through three distinct dimensions: Quantity (candle count), Quality (body structure), and Commitment (volume-weighted quality). The core problem this indicator solves is that simple bullish/bearish candle counts miss important context. A market can have more green candles but still be weak if those candles have small bodies and low volume.
This indicator addresses that by requiring all three dimensions to align before generating strong signals, filtering out weak moves that lack conviction.
Why These Three Dimensions Work Together
Each dimension measures a different aspect of market conviction:
1. Quantity - Counts bullish vs bearish candles over the lookback period. Tells you WHO is winning the candle count battle.
2. Quality - Scores candles by body size relative to total range. Full-bodied candles (small wicks) indicate stronger conviction than doji-like candles. Tells you HOW decisively price is moving.
3. Commitment - Weights quality scores by volume. High-quality candles on high volume indicate institutional participation. Tells you WHETHER smart money is involved.
When all three align (e.g., more bullish candles + bullish quality + bullish commitment), the signal is significantly more reliable.
How the Calculations Work
Quantity Analysis:
int greenCount = 0
int redCount = 0
for i = 0 to lookbackPeriod - 1
if close > open
greenCount += 1
if close < open
redCount += 1
bool quantityBull = greenCount > redCount
Quality Analysis (body-to-range scoring):
for i = 0 to lookbackPeriod - 1
float candleBody = close - open // Signed (positive = bull)
float candleRange = high - low
float bodyQuality = candleRange > 0 ? (candleBody / candleRange * 100) * candleRange : 0.0
sumBodyQuality += bodyQuality
bool qualityBull = sumBodyQuality > 0
Signal Types
FULL BULL - All three dimensions bullish (Quantity + Quality + Commitment)
FULL BEAR - All three dimensions bearish
LEAN BULL/BEAR - 2 of 3 dimensions agree
MIXED - No clear consensus
STRONG BUY/SELL - Full confluence + ADX confirms trending market
ADX Integration
The indicator includes ADX (Average Directional Index) to filter signals:
- ADX >= 20 = TRENDING market (signals more reliable)
- ADX < 20 = RANGING market (signals may whipsaw)
Strong signals only trigger when full confluence occurs in a trending environment.
Dashboard Information
Quantity - BULL/BEAR/FLAT with green/red candle ratio
Quality - Directional bias based on body quality scoring
Commit - Volume-weighted commitment reading
ADX - Trend strength (TRENDING/RANGING)
Signal - Confluence status (FULL BULL/FULL BEAR/LEAN/MIXED)
Action - STRONG BUY/STRONG SELL/WAIT
How to Use This Indicator
For High-Conviction Entries:
1. Wait for FULL BULL or FULL BEAR confluence
2. Confirm ADX shows TRENDING
3. Enter when Action shows STRONG BUY or STRONG SELL
For Filtering Weak Setups:
1. Avoid entries when signal shows MIXED
2. Be cautious when ADX shows RANGING
3. Require at least 2 of 3 dimensions to agree
For Divergence Analysis:
1. Watch for Quantity bullish but Commitment bearish (distribution)
2. Watch for Quantity bearish but Commitment bullish (accumulation)
Input Parameters
Lookback Period (9) - Bars to analyze for all three dimensions
ADX Smoothing (14) - Period for ADX calculation
ADX DI Length (14) - Period for directional indicators
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Lookback period may need adjustment for different timeframes
Limitations
Lookback period affects signal responsiveness vs reliability tradeoff
Volume data quality varies by exchange
ADX filter may cause missed entries in early trends
Works best on liquid instruments with consistent volume
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Confluence signals do not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Adaptive Bull Ratio Strategy█ Overview: Why This Strategy
Most option strategies fall into two traps:
They are too rigid: A "Call Ratio Spread" works great in slow markets but gets destroyed if the market rallies hard.
They are too simple: A simple "Buy Call" suffers from time decay (Theta) if the market chops sideways.
The Adaptive Bull Ratio Strategy solves both . It is a living strategy that "shifts gears" based on price action.
It is called "Adaptive" because it morphs its structure three times during a trade. It starts conservative to harvest Time Decay, but if the market explodes upwards, it "uncaps" itself to ride the trend aggressively.
█ The Entry Philosophy: Why Supertrend?
The default setting uses the Supertrend indicator as the trigger. This is intentional:
Volatility Awareness: Supertrend adapts to market noise using ATR. In high volatility, bands widen to prevent false entries.
Trend Confirmation: Since Phase 1 involves selling options, entering "too early" against a falling market is dangerous. Supertrend forces patience, waiting for a confirmed reversal (Close > Trend Line), ensuring the momentum is actually in your favor before you commit capital.
The "Drift" Benefit: This strategy excels in markets that "drift" upwards. Supertrend identifies these trends while filtering out short-term chop.
Flexibility with External Sources:
While Supertrend is the default, the strategy is designed to be flexible. You can enable the 'Enable External Source' option in the settings to plug in any custom indicator (e.g., Moving Averages, Parabolic SAR, or a proprietary trendline).
The Golden Rule for External Sources: The script interprets a Bullish Signal whenever your External Source line is below the Close price (Ext Source < Close).
Compatibility: As long as your custom indicator behaves like a support line in an uptrend (plotting below the candles), it will work seamlessly with this strategy's logic.
█ The "Long Only" Rationale: Avoiding the Volatility Trap
Why not trade this on the short side (Puts) during crashes?
The Volatility Trap (Vega Risk): In Bull markets, Implied Volatility (IV) usually drops, helping your sold options decay faster. In Bear markets, IV explodes (panic). Selling OTM Puts during a crash is dangerous as their value skyrockets, neutralizing gains.
Velocity Risk: Bear markets crash fast ("Elevator Down"). Prices can blow through adjustment levels faster than the strategy can safely roll down, causing slippage.
Structural Skew: OTM Puts are inherently more expensive. Buying expensive ITM Puts and selling expensive OTM Puts shifts the breakeven further away, making V-shape recoveries painful.
█ How It Works & Stands Out
This strategy actively transforms risk profiles based on market movement:
Phase 1: The "Safe" Start (Entry)
Setup: Initiates a Call Ratio Spread (Buy 2 ITM, Sell 4 OTM) + Protective Puts.
Logic: Profits from sideways drift or slow rallies via Time Decay (Theta). The sold options finance the trade.
Phase 2: The "Shift" (Adjustment Level 1)
Trigger: Market moves above Leg 2 (3 OTM Call).
Action: Rolls Up the position. Exits initial legs, enters new higher legs, and adds a Short Put to finance the roll.
Impact: Aggressive. You bet the trend is strong enough to support the added downside risk of the short put.
Phase 3: The "Uncap" (Adjustment Level 2)
Trigger: Market moves above Leg 3 (4 OTM Call).
Action: Exits all Sold Calls.
Impact: Uncaps profit potential. The trade becomes a Net Long position (Long Calls + Short Puts), allowing you to ride a massive rally without a ceiling.
Phase 4: The "Lock-In" (Optional Trail Adjustment)
Trigger: The market goes parabolic (price rises X levels above Leg 3, configurable in settings).
Action (If Enabled):
Call Adj: Exits the Phase 3 calls and buys fresh 1-OTM calls (Rolling Up to lock profits).
Put Adj: Exits all Put legs (Removing downside risk completely).
Impact: Maximum Safety. This phase is about "banking" the windfall from a massive rally and leaving a smaller, risk-free runner to capture any final extension.
█ How to Start: A Quick Setup Guide
Step 1: Map Expiry Dates
Manually input your trading expiry dates in Settings -> Expiry Management.
Format: YYYY-MM-DD (e.g., 2025-12-25). Strict adherence required for DhanHQ.
Step 2: Configure Symbol & Size
Exchange/Symbol: Enter NSE and NIFTY (or your ticker).
Lot Multiplier: Default is 1. Set to 2 to double all quantities (e.g., Buy 2 becomes Buy 4).
Step 3: Understand Visuals
Entry Window (Light Blue): Strategy is scanning for new trades.
Non-Entry Window (Dark Blue): Trading blocked (Day before Expiry & Expiry Day). Only management allowed.
Green Box: Valid Late Entry Zone.
Red Dashed Line: Invalidation Level (if price touches this, no late entry).
Fuchsia Line: Trigger level for Special Trail Adjustments (Phase 4).
IMPORTANT: Broker & Technology Heads-Up:
The alerts generated by this script ({"secret": "...", "alertType": "multi_leg_order"...}) are specifically formatted for the DhanHQ webhook structure.
Dhan Users: Plug-and-play.
Other Brokers: You need middleware (NextLevelBot, Quantiply) to parse the JSON.
█ Risk Disclaimer & Advice
Trading options involves substantial risk.
The Whipsaw Risk: In Phase 2, you are Long Calls and Short Puts. A sharp reversal causes losses on both sides.
Margin: Selling options requires significant margin. Keep a 15-20% cash buffer to handle adjustments instantly.
Testing: This strategy is optimized for NIFTY Weekly Options. Effectiveness on BankNifty or Stocks is untested and may require parameter tuning.
Advice:
Backtest: Use TradingView Replay.
Paper Trade: Run for at least one expiry cycle before live deployment.
Consult: Seek professional financial advice before trading.
Practical Tips for Smooth Execution
For a new trader deploying this system, these operational tips are vital:
Capital Buffer: Do not trade at your limit. Always keep 10-15% free cash in your broker account. Adjustments (specifically Phase 2, where you sell an extra Put) require additional margin instantly. If margin is short, the order fails, and your hedge breaks.
Liquidity Awareness : The script trades "Far Deep OTM" options (Leg 4) to reduce margin. On indices like Nifty/BankNifty, this is fine. On individual stocks, these deep strikes might be illiquid. Check the option chain volume before deploying on stocks.
Trust the Process (but Verify) : While the algo drives, you are the pilot.
Check your API connection every morning.
Ensure the "Entry Window" background color on the chart matches your real-world date.
Verify that your broker executed all legs of a multi-leg order (partial fills are rare but possible).
The "Human" Stop: If major news breaks (e.g., unexpected election results, war announcements), volatility can expand faster than any algo can react. It is acceptable—and smart—to pause the strategy during known "Black Swan" events or earnings releases.
█ Timeframe Selection: The 30-Minute Standard
Critical Requirement: This indicator must be applied to a 30-minute chart.
Why?
Noise Filtering: The Supertrend logic is tuned to capture multi-day trends. Lower timeframes (5m, 15m) are full of "noise"—random fluctuations that look like trend changes but aren't.
Execution Logic (The Hybrid Engine): The script has a built-in "Dual Timeframe" architecture.
Decision Layer (30m): Uses the chart timeframe to decide when to be Bullish or Bearish.
Execution Layer (5m): Internally fetches 5-minute data to manage the how (Adjustments, Late Entries, and precise invalidation).
The Risk of Lower Timeframes: If you run the main chart on 5-minutes, you destroy this hierarchy. You will get too many signals, pay too much brokerage, and the internal logic may behave erratically.
Recommendation: Always keep your TradingView chart interval at 30m. Do not switch to lower timeframes expecting "faster" signals; you will likely just get "false" signals.
█ Testing Scope, Feedback
⚠️ Important Note on Asset Classes:
This strategy logic and the associated strike step calculations have been rigorously tested ONLY on NIFTY Index Options with Weekly Expiry.
BankNifty / Sensex / FinNifty: The volatility characteristics (ATR) and strike intervals of these instruments differ significantly from NIFTY. The effectiveness of this strategy on these other scripts has not been verified and may require different parameter tuning (e.g., strike_step or ATR Length).
Stocks: Individual stock options often lack the liquidity required for the "Deep OTM" legs, leading to potential execution failures.
We encourage traders to backtest this logic on other indices and share their findings! If you find a robust parameter set for BankNifty or observe unique behaviors on other scripts, please let us know in the comments below so we can improve the algorithm for everyone. Your feedback is appriciated.
Moving Average Ribbon - version 4There are many different strategies using Moving Averages such as the Guppy, Super Guppy, Madrid Ribbon and others. Some strategies use one type of calculation over the other.
I am not advocating one strategy over another and this indicator is not a particular strategy. It provides up to 27 moving averages. You can choose between Simple, Exponential (default), ALMA, Hull, WMA, RMA and DEMA for the calculation method.
You can choose which Moving Averages to show and not show.
You can change the lengths of any of the Moving Averages.
Some strategies I have seen uses different sources. You can set the source for each individual Moving Average.
If you use this indicator more than once on the same chart, you can offset the two indicators if needed.
The indicator has two methods for coloring the plots. The default is by direction and order. If going up and the faster MA is higher than the next slower MA, it is bullish. If going down and the faster MA is lower than the next slower MA, it is bearish. Otherwise, it is neutral.
An alternate means looks at separation distance. A slower MA will inherit the color of the faster MA if the distance between the two is equal or greater than the previous candle.
If standard colors are used, there is a Strong Bear, Weak Bear, Strong Bull and Weak Bull. If you choose to use Alternate colors, you have a Bullish and Bearish color.
Defaults are simply set to how I have been using it. I also have it applied on multiple charts across multiple timeframes. It is not a recommendation or promise of best method. I am still experimenting with different layouts.
Gold Projection DivergenceGOLD PROJECTION DIVERGENCE
Oscillator Companion for the Gold Macro Projection Model
OVERVIEW
The Gold Projection Divergence oscillator quantifies how far gold is trading from its projected fair value. While the main indicator shows where gold should be, this oscillator shows how extreme the mispricing is—providing precise timing signals for entries and exits.
HOW IT WORKS
The oscillator calculates the difference between actual gold price and the projected value, then normalizes it as a Z-score . This statistical measure shows how many standard deviations gold is trading away from its projected fair value.
Z > +2 — Gold is 2+ standard deviations above fair value (extremely overvalued)
Z > +1 — Gold is moderately overvalued
Z = 0 — Gold is trading at projected fair value
Z < -1 — Gold is moderately undervalued
Z < -2 — Gold is 2+ standard deviations below fair value (extremely undervalued)
VISUAL ELEMENTS
Histogram — Color-coded divergence magnitude
Yellow Line — Smoothed Z-score
Dashed Lines — +2 and -2 standard deviation levels
Dotted Lines — +1 and -1 standard deviation levels
Triangle Markers — Extreme crossover signals
Circle Markers — Zero-line crossings
HISTOGRAM COLORS
Dark Red — Z > +2 (extreme overvaluation)
Orange — Z between +1 and +2
Light Orange — Z between 0 and +1
Light Green — Z between -1 and 0
Green — Z between -2 and -1
Lime — Z < -2 (extreme undervaluation)
COMPONENT TABLE
The breakdown table shows divergence from each individual factor:
Silver — Is gold over/undervalued relative to silver?
M2 — Is gold over/undervalued relative to money supply?
DXY — Is gold over/undervalued relative to dollar strength?
Equity — Is gold over/undervalued relative to stocks?
TIPS — Is gold over/undervalued relative to real rates?
TRADING APPLICATIONS
Mean Reversion Strategy
Enter LONG when Z < -2 and begins rising
Enter SHORT when Z > +2 and begins falling
Use zero-line crossings for trend confirmation
Trend Following Filter
Only take long trades when Z < 0 (undervalued)
Only take short trades when Z > 0 (overvalued)
Divergence Confirmation
Bearish: Price makes new highs while Z-score makes lower highs
Bullish: Price makes new lows while Z-score makes higher lows
ALERTS
Extreme Undervaluation — Z crosses below -2
Extreme Overvaluation — Z crosses above +2
Moderate Undervaluation — Z crosses below -1
Moderate Overvaluation — Z crosses above +1
Divergence Turned Positive — Crossed above zero
Divergence Turned Negative — Crossed below zero
COMBINED USAGE
For best results, use both indicators together :
Main Indicator — Visual context of actual vs. projected on price chart
Divergence Oscillator — Precise measurement for timing decisions
The main indicator shows where gold should be; the oscillator shows how extreme the mispricing is and when to act.
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Market conditions can alter historical relationships. Always use proper risk management.
Silver Projection DivergenceSILVER PROJECTION DIVERGENCE
Standardized Fair Value Divergence Oscillator
OVERVIEW
The Silver Projection Divergence oscillator is the companion indicator to the Silver Macro Projection Model. It quantifies the gap between silver's actual price and its projected fair value, displaying this divergence as a standardized z-score. This format makes it easier to identify extreme conditions and time entries/exits based on mean reversion.
HOW IT WORKS
The oscillator converts raw divergence (Actual Silver - Projected Silver) to a z-score by normalizing against its historical distribution:
Z-Score > 0 - Silver trading ABOVE projected value (overvalued)
Z-Score < 0 - Silver trading BELOW projected value (undervalued)
Z-Score > 2 - Extreme condition (2 standard deviations)
VISUAL ELEMENTS
Main Plot
Green line/histogram - Negative divergence (undervalued)
Red line/histogram - Positive divergence (overvalued)
Color intensity increases when divergence is expanding
Reference Lines
+2 sigma / -2 sigma (dashed) - Extreme zones
+1 sigma / -1 sigma (dotted) - Moderate deviation
Zero line - Fair value equilibrium
Signal Markers
Green Triangle (bottom) - Z-score crosses below -2 (STRONG BUY)
Red Triangle (top) - Z-score crosses above +2 (STRONG SELL)
Background
Light red background - Extreme overvaluation (Z > 2)
Light green background - Extreme undervaluation (Z < -2)
SIGNAL INTERPRETATION
Z > +2.0 - Extreme Overvaluation - STRONG SELL / Take profits
Z +1.0 to +2.0 - Moderate Overvaluation - Caution / Reduce exposure
Z -1.0 to +1.0 - Fair Value Range - Neutral / Hold
Z -2.0 to -1.0 - Moderate Undervaluation - Accumulate / Scale in
Z < -2.0 - Extreme Undervaluation - STRONG BUY signal
COMPONENT TABLE
The bottom-right table breaks down divergence by factor:
Gold Ratio - Deviation from gold-implied fair value
M2 Supply - Divergence from monetary-implied value
DXY Signal - Dollar strength bullish/bearish indication
Equities - Equity market positioning signal
OVERALL - Combined signal with Z-score
TRADING APPLICATIONS
Mean Reversion Strategy
Enter LONG when Z < -2 and begins rising
Enter SHORT when Z > +2 and begins falling
Use zero-line crossings for trend confirmation
Trend Following Filter
Only take long trades when Z < 0 (undervalued)
Only take short trades when Z > 0 (overvalued)
Divergence Confirmation
Bearish: Price makes new highs while Z-score makes lower highs
Bullish: Price makes new lows while Z-score makes higher lows
ALERTS
Extreme Undervaluation - Z crosses below -2
Extreme Overvaluation - Z crosses above +2
Divergence Turned Positive - Crossed above zero
Divergence Turned Negative - Crossed below zero
COMBINED USAGE
For best results, use both with Silver Macro Projection Model - indicator:
Main Indicator - Visual context of actual vs. projected on price chart
Divergence Oscillator - Precise measurement for timing decisions
The main indicator (Silver Macro Projection Model - ) shows where silver should be; this oscillator shows how extreme the mispricing is and when to act.
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Market conditions can alter historical relationships. Always use proper risk management.
Volatility Regimes | GainzAlgo📊 OVERVIEW:
=========
This is a comprehensive ATR-based trading system designed for professional
traders who need advanced volatility analysis, precise trade management, and
intelligent market regime detection. The indicator combines multiple proven
volatility concepts into one powerful, customizable tool.
⭐ WHY THIS SYSTEM IS UNIQUE AND WORTHY OF PUBLICATION:
====================================================
This is not simply a collection of ATR-based indicators placed together.
It represents a unified volatility analysis framework where each component
is specifically designed to work in concert with the others, creating a
complete trading workflow that cannot be replicated by using multiple
separate indicators.
🔗 SYNERGISTIC INTEGRATION - How Components Work Together:
🧠 1. CONTEXT-AWARE ANALYSIS
The Volatility Regime Detection acts as the "brain" of the system,
classifying market conditions into 4 distinct phases. Every other
component then adapts its behavior based on this regime classification:
- ATR Bands expand/contract with regime changes
- Stop Loss distances automatically adjust (tighter in compression,
wider in high volatility)
- Take Profit targets scale proportionally to current regime
- Signal sensitivity filters itself based on market phase
📐 2. UNIFIED VOLATILITY FOUNDATION
All calculations share a single ATR baseline calculation, ensuring
internal consistency across the entire system. When ATR changes, every
element updates in perfect synchronization:
- Bands recalculate from the same ATR value
- Risk management levels use the same volatility measurement
- Regime classification and signals reference identical data
🛡️ 3. INTEGRATED RISK MANAGEMENT
The system doesn't just show WHERE to enter - it calculates HOW MUCH
to risk:
- Dynamic Stop Loss adapts to current ATR automatically
- Position Size Calculator uses the dynamic stop to compute exact quantities
- Take Profit levels scale proportionally, maintaining optimal risk:reward
✅ 4. TWO-STAGE SIGNAL CONFIRMATION
The alert system creates a logical progression:
Step 1: Volatility Breakout → Market energy is building
Step 2: Trend Confirmation → Direction confirmed with volatility support
This prevents false breakouts by requiring both volatility AND direction.
🏦 5. PROFESSIONAL WORKFLOW INTEGRATION
The system mirrors how institutional traders analyze markets:
Phase 1: Assess regime → What's the market doing?
Phase 2: Identify setup → Where's the opportunity?
Phase 3: Calculate risk → What's my exposure?
Phase 4: Set targets → Where do I take profit?
Phase 5: Monitor regime → When do conditions change?
❌ WHY NOT USE SEPARATE INDICATORS?
- Separate ATR Bands: Don't know about regime changes, remain static
- Separate Regime Indicator: Doesn't automatically adjust stop/targets
- Separate Position Calculator: Doesn't know your actual ATR-based stop
- Manual Integration: Requires constant mental calculation and cross-referencing
🧮 DETAILED CALCULATION METHODOLOGY:
=================================
📏 ATR (AVERAGE TRUE RANGE) CALCULATION:
- True Range = Maximum of:
1. Current High - Current Low
2. Absolute value of (Current High - Previous Close)
3. Absolute value of (Current Low - Previous Close)
- ATR = Simple Moving Average of True Range over specified period (default: 14)
📊 DYNAMIC ATR BANDS:
- Upper Band = Current Close + (ATR × Band Multiplier)
- Lower Band = Current Close - (ATR × Band Multiplier)
- Band 1: 1.0× ATR (closest support/resistance)
- Band 2: 2.0× ATR (intermediate zone)
- Band 3: 3.0× ATR (extended zone)
🌡️ VOLATILITY REGIME CLASSIFICATION:
Step 1: Calculate ATR Baseline
- Baseline ATR = SMA or EMA of ATR over long period (default: 50 bars)
- This represents "normal" volatility for the instrument
Step 2: Calculate ATR Ratio
- ATR Ratio = Current ATR ÷ Baseline ATR
- Example: If current ATR = 70 and baseline = 50, ratio = 1.40
Step 3: Classify Regime Based on Ratio
- COMPRESSION: Ratio < 0.70 (ATR is 30% below normal)
Market consolidating, volatility contracting, energy building
- EXPANSION: Ratio between 1.15 and 1.40 (ATR is 15-40% above normal)
Volatility breaking out, early phase of directional movement
- HIGH VOLATILITY: Ratio > 1.40 (ATR is 40%+ above normal)
Strong sustained trend with high participation
- EXHAUSTION: ATR declining after high volatility period
Requires: Previous high ratio + declining ATR over X bars (default: 5)
Trend maturity, potential reversal or consolidation approaching
🛑 DYNAMIC STOP LOSS CALCULATION:
- For Long Positions: Stop Loss = Entry Price - (ATR × SL Multiplier)
- For Short Positions: Stop Loss = Entry Price + (ATR × SL Multiplier)
- Default Multiplier: 2.0× ATR
- Adjusts automatically: Wider in high volatility, tighter in compression
🎯 TAKE PROFIT LEVELS:
- TP1 = Entry Price ± (ATR × TP1 Multiplier)
- TP2 = Entry Price ± (ATR × TP2 Multiplier)
- TP3 = Entry Price ± (ATR × TP3 Multiplier)
- Direction (+ or -) depends on trade direction
📦 POSITION SIZE CALCULATION:
Formula: Position Size = Account Risk Amount ÷ Stop Loss Distance
Step-by-step:
1. Risk Amount = Account Size × (Risk Percentage ÷ 100)
2. Stop Distance = |Entry Price - Stop Loss Price|
3. Position Size = Risk Amount ÷ Stop Distance
📈 ATR PERCENTILE RANKING:
- >80% = Extremely high volatility
- 20-80% = Normal volatility range
- <20% = Extremely low volatility
🌀 VOLATILITY CONTRACTION PATTERN:
Detects extended low-volatility periods indicating imminent breakout.
🧭 TREND DETECTION SIGNALS:
Bullish: Price > MA AND Current ATR > ATR MA
Bearish: Price < MA AND Current ATR > ATR MA
⚡ VOLATILITY BREAKOUT SIGNALS:
Triggered when ATR exceeds its moving average by a defined threshold.
🧩 CORE FEATURES:
==============
1. ATR BANDS (Dynamic Support/Resistance)
2. VOLATILITY REGIME DETECTION
3. DYNAMIC STOP LOSS SYSTEM
4. MULTIPLE TAKE PROFIT LEVELS
5. SUPPORT & RESISTANCE LEVELS
6. RISK MANAGEMENT CALCULATOR
7. ATR PERCENTILE RANKING
8. VOLATILITY CONTRACTION PATTERN
9. TREND DETECTION SIGNALS
10. VOLATILITY BREAKOUT SIGNALS
⚙️ RECOMMENDED SETTINGS BY TRADING STYLE:
======================================
DAY TRADING • SWING TRADING • POSITION TRADING • SCALPING
📘 HOW TO USE THIS INDICATOR:
==========================
STEP 1: Identify Market Regime
STEP 2: Wait for Entry Signal
STEP 3: Set Stop Loss
STEP 4: Set Take Profits
STEP 5: Position Sizing
STEP 6: Monitor & Manage
🔔 ALERT SYSTEM:
=============
Alerts for volatility breakouts, trend changes, regime transitions,
ATR band crossings, contraction completion, and percentile extremes.
🎨 CUSTOMIZATION:
==============
All visuals, thresholds, multipliers, colors, alerts, and risk parameters
can be fully customized.
⚠️ IMPORTANT DISCLAIMER:
=====================
This indicator is a volatility analysis tool and does NOT provide financial advice.
Past performance does not guarantee future results.
All trading involves substantial risk.
All trading decisions are the sole responsibility of the user.
Market Breadth & Sector Rotation Analyzer -[KK]A real-time market environment analyzer for NSE India built for swing traders and breakout traders.
Designed to answer one question before every trade: Should I take this trade today?
What This Indicator Does
Analyzes 33 NSE indices across market cap, sectors, themes, and volatility to deliver a complete snapshot of current market health, sector rotation, and risk conditions. Shows only live conditions with no historical clutter.
Market Breadth Score 0–100
Composite score based on 30 percent market cap breadth, 40 percent sector breadth using 19 sectors above 50 MA, 25 percent long-term momentum using 200 MA, and 5 percent India VIX for volatility and fear assessment.
Actionable Trading Guidance
Automatically classifies market regime as Bull, Trending, Neutral, or Bear. Provides clear trade guidance, position sizing recommendations, and sector focus based on current market conditions.
Sector Rotation Analysis
Groups sectors into five mega sectors.
Financial: Banks, Private Banks, PSU Banks, Finance, Financial Services
Technology: IT, Services, Media
Cyclical: Auto, Metal, Realty, Infra, Energy, Oil and Gas
Defensive: FMCG, Pharma, Healthcare
Consumer: Consumer Durables, Consumption
Market Phase Detection
Identifies Expansion, Recovery, Defensive, Contraction, or Rotation phases based on sector leadership. Helps align trades with the broader economic cycle.
Trading Rules by Market Breadth
75 to 100: Bull market, trade all quality setups with full position size
60 to 75: Trending market, selective trades with normal size
40 to 60: Neutral market, very selective trades with 50 percent size
Below 40: Bear market, raise cash and use minimal exposure
Sector Strength Interpretation
Above 80 percent: Leading sector, trade aggressively
60 to 80 percent: Strong sector, good opportunities
40 to 60 percent: Weak sector, be selective
Below 40 percent: Avoid or use minimal exposure
Defensive Sector Logic
High defensive strength signals fear, not strength. Defensive above 70 percent with weak technology indicates market topping. Defensive below 40 percent indicates a risk-on environment.
Indices Covered
Market Cap: NIFTY, CNX100, CNX500, NIFTY Total Market, NIFTY Midcap 150, CNX Midcap, NIFTY Mid Small 400, NIFTY Small-cap 250, NIFTY 500 Multicap, NIFTY IPO
Banking and Finance: BANKNIFTY, NIFTY Private Bank, CNX PSU Bank, CNX Finance, NIFTY Fin Service 25 50
Technology: CNX IT, CNX Service, CNX Media
Cyclicals: CNX Auto, CNX Metal, CNX Realty, CNX Infra
Energy: CNX Energy, NIFTY Oil and Gas, CPSE
Defensives: CNX FMCG, CNX Pharma, NIFTY Healthcare
Consumer: NIFTY Consumer Durables, CNX Consumption
Thematic: NIFTY MNC, NI15
Volatility: India VIX
Market Alerts
Bull Market alert when breadth crosses above 75
Bear Market alert when breadth drops below 40
Broad Rally alert when more than 75 percent of sectors are bullish
Settings
Table position with 9 placement options, table size from Tiny to Large, customizable short and long moving averages. Default settings are Top Right position, Normal size, 50 MA and 200 MA.
Best Useful Script for
Ideal for swing traders, breakout traders, position traders, and NSE equity traders who need market context before taking trades. Not suitable for scalping, day trading, or non-NSE markets.
Disclaimer
This indicator is for educational purposes only and does not constitute any kind of financial advice to buy/sell any financial securities.
Trading involves risk and past performance does not guarantee future results.
Ultimate Lines Statistical Backtest @MaxMaseratiUltimate lines (MAs/MACD/VWAP,DWA etc..) Statistical Backtest
This is a comprehensive statistical backtesting tool that allows traders to objectively measure the performance of 27+ different trading lines across multiple timeframes and sessions. Instead of guessing which moving averages, VWAPs, or volume levels actually work for your trading style, this indicator provides hard data showing exactly how price behaves around each line at specific times of day.
The indicator solves a critical problem: most lines create whipsaws in choppy markets, but knowing which lines have the highest continuation rates vs reversal rates at specific session times helps you avoid false signals and focus on setups with proven statistical edges.
🎯 LINES YOU CAN TEST
MMM Core Lines:
Mid MA: Trend velocity tracker using simple moving average
MMPD Line: Premium/Discount change-of-direction indicator
Fair Value Golden Ratio: 0.618 equilibrium level between premium and discount zones
Volume-Based Lines:
VWAP Daily/Weekly: Volume-weighted average price (daily and weekly sessions)
Volume POC Multi-TF: Multi-timeframe Point of Control (highest volume price level)
Volume POC Weekly: Weekly momentum pivot based on volume distribution
Range Midpoints:
Range Midpoint 50: 50-period high/low midpoint
Range Midpoint 14 TF1/TF2: Configurable timeframe range midpoints with smoothing options
Moving Averages (10 MA Types):
MACD Fast (12) / Signal (26): Standard MACD moving averages
Fast MA 20 / Mid MA 50 / Slow MA 200: Classic trend-following averages
Available MA Types: SMA, EMA, WMA, HMA, DEMA, TEMA, LSMA, KAMA, ALMA, VWMA
Volatility Indicators:
MVM Upper/Lower Bands: Momentum-based volatility bands with adaptive option
HVC Bullish/Bearish: High Volume Candle support/resistance levels
Ultimate Suite Advanced Lines:
DWAP (Delta Weighted Average Price): Directional volume-weighted price with upper/lower bands
HVN (High Volume Node): High-frequency trading node detection
Hybrid Line: Volume-weighted momentum composite
Trend Filter: Two-pole smoothing filter for trend clarity
STL Lines:
iBuSTL / iBeSTL: Internal Bullish/Bearish Structural Trend Liquidity levels
⚙️ HOW TO TEST
Select Lines: Check the boxes for lines you want to analyze (Mid MA, VWAP Daily, Volume POC, etc.)
Choose Times: Enable tracking for specific session times (default: 8:30 AM, 9:30 AM, 10:00 AM, Daily Close - EST)
Set Lookback: Choose how many days of historical data to analyze (default: 60 days)
Enable Pattern Analysis: Turn on "Enable Pattern Analysis" in settings
Wait for Data: The indicator needs 20 bars after each signal time to complete analysis
Review Statistics: Check the statistics table for detailed breakdowns
📈 STATISTICS EXPLAINED
For Each Tracked Time, You'll See:
🟢 Above Selected Lines (X samples):
Continued↑: Price stayed above the lines = bullish continuation
Reversed↓: Price broke below the lines = reversal/rejection
→Kept Going↓: After reversing down, price continued lower (bars 11-20)
→Stalled: After reversing down, price came back up (consolidation)
Neutral: Price didn't make a clear move either way
🔴 Below Selected Lines (X samples):
Continued↓: Price stayed below the lines = bearish continuation
Reversed↑: Price broke above the lines = reversal/support bounce
→Kept Going↑: After reversing up, price continued higher (bars 11-20)
→Stalled: After reversing up, price came back down (consolidation)
Neutral: No clear directional move
⭐ Star Ratings: Show which outcome happens most frequently (best probability)
🔬 HYBRID DETECTION SYSTEM (ADVANCED)
When enabled, the indicator uses a multi-signal composite scoring system that goes beyond simple percentage movements:
Signal A - % Movement Direction (40% weight):
Measures the strength and direction of price movement. Strong directional moves (>0.8%) score higher, while opposite-direction moves score negatively.
Signal B - Inside Candles (30% weight):
Detects true consolidation by counting how many candles close within a defined range. High inside-candle counts indicate choppy, stalled price action rather than clean continuation.
Signal C - Successive Closes (30% weight):
Tracks momentum persistence by counting consecutive closes in the expected direction. Long streaks (6+ bars) indicate strong follow-through, while breaks in the sequence suggest weakness.
Composite Score Classification:
⭐⭐⭐ Strong (75-100 points): All three signals align - high-confidence pattern
⭐⭐ Moderate (50-75 points): Two signals agree - reliable pattern
⭐ Weak (25-50 points): Mixed signals - lower confidence
⚠️ Strong Stalled (0-25 points): Signals show consolidation/reversal
This provides nuanced pattern detection that identifies not just IF a pattern succeeded, but HOW STRONGLY it performed.
💡 INTERPRETING RESULTS
Good Lines Show:
High continuation % when price is above/below (>60% is strong)
Clean "Kept Going" patterns after reversals (>50% indicates reliable rejection)
Low stalled % (less whipsaw/consolidation)
Consistent patterns across multiple times (validates the line's reliability)
Poor Lines Show:
50/50 continuation vs reversal (coin flip = no edge)
High stalled % (lots of whipsaw/false signals)
Inconsistent patterns across different times (unreliable)
Example Interpretation:
9:30 AM - VWAP Daily (120 samples)
🟢 Above:
Continued↑ 75 (62.5%) ⭐ BEST
Reversed↓ 30 (25.0%)
Meaning: When price is above VWAP Daily at 9:30 AM, it continues higher 62.5% of the time - this is a statistically strong bullish signal for that session time.
🎯 PRACTICAL VALUE
Solves the Whipsaw Problem:
Most moving averages and lines work beautifully in trending markets but create endless false signals in choppy, range-bound conditions. By analyzing specific session times and continuation vs reversal patterns, you can:
Identify high-probability setups: Focus on lines that show >60% continuation at your preferred trading times
Avoid weak signals: Skip lines with high stall rates or 50/50 outcomes
Time your entries better: Know which session times produce the cleanest patterns
Combine complementary lines: Stack multiple high-scoring lines for confluence
Adapt to market conditions: Switch to different lines when market structure changes
Real-World Application:
Instead of blindly trading VWAP crosses or MA bounces, you'll have objective data showing: "At 9:30 AM on ES, when price is above Mid MA + VWAP Daily + Volume POC, it continues higher 68% of the time with strong momentum (⭐⭐⭐)." This transforms discretionary guesswork into data-driven decision making.
⚙️ LINE DEFINITIONS
Moving Averages: Smooth price data over X periods to identify trend direction and dynamic support/resistance.
VWAP: Anchored average price weighted by volume - institutional traders' benchmark for "fair value."
Volume POC (Point of Control): Price level with the most traded volume - represents maximum market acceptance.
Fair Value Golden Ratio: Fibonacci 0.618 level between recent premium (high) and discount (low) - equilibrium zone.
DWAP (Delta Weighted): Price average weighted by buying vs selling volume delta - shows directional money flow.
Range Midpoints: Geometric center of recent high/low range - mean reversion pivot.
Volatility Bands: Envelope around momentum lines showing normal price deviation ranges.
HVN (High Volume Node): Automated detection of high-volume price clusters - institutional accumulation/distribution zones.
Note: This indicator is purely for statistical analysis and backtesting. It does not generate trade signals or provide entry/exit recommendations. Use the statistics to inform your own trading decisions and strategy development.
PA SystemPA System - Price Action Trading System
价格行为交易系统
📊 概述 / Overview
PA System is a comprehensive price action trading indicator that combines Smart Money Concepts (SMC), market structure analysis, and multi-timeframe confirmation to identify high-probability trade setups. Designed for both manual traders and algorithmic trading systems.
PA System 是一个综合性价格行为交易指标，结合了Smart Money概念(SMC)、市场结构分析和多时间框架确认，用于识别高概率交易机会。适用于手动交易者和算法交易系统。
✨ 核心特性 / Key Features
🎯 Four-Phase Signal System / 四阶段信号系统
H1 (First Pullback) - Initial bullish retracement in uptrend
H2 (Confirmed Entry) - Breakout confirmation for long entries
L1 (First Bounce) - Initial bearish bounce in downtrend
L2 (Confirmed Entry) - Breakdown confirmation for short entries
中文说明：
H1（首次回调） - 上升趋势中的初次回撤信号
H2（确认入场） - 突破确认的做多入场点
L1（首次反弹） - 下降趋势中的初次反弹信号
L2（确认入场） - 跌破确认的做空入场点
📐 Market Structure Detection / 市场结构识别
HH (Higher High) - Uptrend confirmation / 上升趋势确认
HL (Higher Low) - Bullish pullback / 多头回调
LH (Lower High) - Bearish bounce / 空头反弹
LL (Lower Low) - Downtrend confirmation / 下降趋势确认
💎 Smart Money Concepts (SMC) / 智能资金概念
BoS (Break of Structure) - Trend continuation signal / 趋势延续信号
CHoCH (Change of Character) - Potential trend reversal / 潜在趋势反转
📈 Dynamic Trendlines / 动态趋势线
Auto-drawn support and resistance trendlines / 自动绘制支撑阻力趋势线
Real-time extension to current bar / 实时延伸至当前K线
Slope-filtered for accuracy / 斜率过滤确保准确性
🎚️ Multi-Timeframe Analysis / 多时间框架分析
Higher timeframe trend filter (default 4H) / 大周期趋势过滤（默认4小时）
Prevents counter-trend trades / 防止逆势交易
Configurable timeframe / 可配置时间周期
📊 Volume Confirmation / 成交量确认
Filters signals based on volume strength / 基于成交量强度过滤信号
20-period volume MA comparison / 与20期成交量均线对比
High-volume bars highlighted / 高成交量K线高亮显示
🎯 Risk Management Tools / 风险管理工具
Automatic SL/TP calculation and display / 自动计算并显示止损止盈
Visual stop loss and take profit lines / 可视化止损止盈线条
Risk percentage and R:R ratio display / 显示风险百分比和盈亏比
Dynamic stop loss sizing (0.3% - 1.5%) / 动态止损范围（0.3% - 1.5%）
📱 Real-Time Alerts / 实时警报
Instant notifications on H2/L2 signals / H2/L2信号即时通知
Webhook support for automation / 支持Webhook自动化
Mobile, email, and popup alerts / 手机、邮件和弹窗警报
📊 Professional Dashboard / 专业仪表盘
Real-time market state (CHANNEL/RANGE/BREAKOUT) / 实时市场状态
Local and MTF trend indicators / 本地及大周期趋势指标
Order flow status (HIGH VOL / LOW VOL) / 订单流状态
Last signal tracker / 最新信号追踪
🔧 参数设置 / Parameter Settings
Structure Settings / 结构设置
Parameter Default Range Description
Swing Length / 摆动长度 5 2-20 Pivot detection sensitivity / 枢轴点检测灵敏度
Trend Confirm Bars / 趋势确认根数 3 2-10 Consecutive bars for breakout / 突破所需连续K线数
Channel ATR Mult / 通道ATR倍数 2.0 1.0-5.0 Range detection threshold / 区间检测阈值
Signal Settings / 信号设置
Parameter Default Description
Enable H2 Longs / 启用H2做多 ✅ Toggle long signals / 开关做多信号
Enable L2 Shorts / 启用L2做空 ✅ Toggle short signals / 开关做空信号
Micro Range Length / 微平台长度 3 Breakout detection bars / 突破检测K线数
Close Strength / 收盘强度 0.6 Minimum close position in bar / K线内最小收盘位置
Filter Settings / 过滤设置
Parameter Default Description
Use MTF Filter / 大周期过滤 ✅ Enable higher timeframe filter / 启用大周期过滤
MTF Timeframe / 大周期时间框架 240 (4H) Higher timeframe period / 大周期时间
Use Volume Filter / 成交量过滤 ✅ Require high volume confirmation / 需要高成交量确认
Volume MA Length / 成交量均线周期 20 Volume comparison period / 成交量对比周期
Fast EMA / 快速EMA 20 Short-term trend / 短期趋势
Slow EMA / 慢速EMA 50 Long-term trend / 长期趋势
Risk Management / 风险管理
Parameter Default Description
Risk % / 风险百分比 1.0% Risk per trade / 每笔交易风险
R:R Ratio / 盈亏比 2.0 Reward to risk ratio / 盈亏比率
Max SL ATR / 最大止损ATR 3.0 Maximum stop loss in ATR / 最大止损ATR倍数
Min SL % / 最小止损百分比 0.3% Minimum stop loss percentage / 最小止损百分比
Max SL % / 最大止损百分比 1.5% Maximum stop loss percentage / 最大止损百分比
📖 使用方法 / How to Use
1. 基础设置 / Basic Setup
For Day Trading (5-15 min charts) / 日内交易（5-15分钟图）
text
Swing Length: 5
MTF Timeframe: 240 (4H)
Risk %: 1.0%
R:R: 2.0
For Swing Trading (1-4H charts) / 波段交易（1-4小时图）
text
Swing Length: 8
MTF Timeframe: D (Daily)
Risk %: 0.5%
R:R: 3.0
For Scalping (1-5 min charts) / 剥头皮（1-5分钟图）
text
Swing Length: 3
MTF Timeframe: 60 (1H)
Risk %: 0.5%
R:R: 1.5
Use Volume Filter: ✅
2. 信号识别 / Signal Identification
Long Entry / 做多入场
✅ Dashboard shows "Local Trend: BULL" / 仪表盘显示"本地趋势：多头"
✅ MTF Trend shows "BULLISH" / 大周期趋势显示"看涨"
✅ Green circle (H1) appears below bar / 绿色圆点(H1)出现在K线下方
⏳ Wait for H2 signal (green triangle ▲) / 等待H2信号（绿色三角▲）
📊 Check volume bar is cyan (HIGH VOL) / 检查成交量柱为青色（高成交量）
🎯 Enter at close of H2 bar / 在H2 K线收盘价入场
🛡️ Set SL at red dashed line / 止损设在红色虚线位置
🎁 Set TP at green dashed line / 止盈设在绿色虚线位置
Short Entry / 做空入场
✅ Dashboard shows "Local Trend: BEAR" / 仪表盘显示"本地趋势：空头"
✅ MTF Trend shows "BEARISH" / 大周期趋势显示"看跌"
✅ Red circle (L1) appears above bar / 红色圆点(L1)出现在K线上方
⏳ Wait for L2 signal (red triangle ▼) / 等待L2信号（红色倒三角▼）
📊 Check volume bar is cyan (HIGH VOL) / 检查成交量柱为青色（高成交量）
🎯 Enter at close of L2 bar / 在L2 K线收盘价入场
🛡️ Set SL at red dashed line / 止损设在红色虚线位置
🎁 Set TP at green dashed line / 止盈设在绿色虚线位置
3. 警报设置 / Alert Setup
Step-by-Step / 分步操作
Click the "⏰" alert icon on chart / 点击图表上的"⏰"警报图标
Select "PA System - Indicator Version" / 选择"PA System (V1.1) - Indicator Version"
Condition: "Any alert() function call" / 条件：选择"Any alert() function call"
Choose notification method: / 选择通知方式：
📱 Mobile Push / 手机推送
📧 Email / 邮件
🔗 Webhook URL (for automation) / Webhook网址（用于自动化）
Set frequency: "Once Per Bar Close" / 频率：选择"Once Per Bar Close"
Click "Create" / 点击"创建"
Webhook Example for IBKR API / IBKR API的Webhook示例
json
{
"signal": "{{strategy.order.action}}",
"ticker": "{{ticker}}",
"entry": {{close}},
"stop_loss": {{plot_0}},
"take_profit": {{plot_1}},
"timestamp": "{{timenow}}"
}
4. 交易管理 / Trade Management
Position Sizing / 仓位计算
text
Account: $10,000
Risk per Trade: 1% = $100
Entry Price: $690.45
Stop Loss: $687.38
Risk per Share: $690.45 - $687.38 = $3.07
Position Size: $100 / $3.07 = 32 shares
Partial Profit Taking / 部分止盈
Close 50% position at 1:1 R:R / 在1:1盈亏比时平仓50%
Move SL to breakeven / 移动止损至保本位
Let remaining 50% run to 2R target / 让剩余50%跑向2R目标
🎨 视觉元素说明 / Visual Elements Guide
Chart Markers / 图表标记
Symbol Color Meaning
⚫ Small Circle / 小圆点 🟢 Green / 绿色 H1 - First bullish pullback / 首次多头回调
▲ Triangle / 三角形 🟢 Green / 绿色 H2 - Confirmed long entry / 确认做多入场
⚫ Small Circle / 小圆点 🔴 Red / 红色 L1 - First bearish bounce / 首次空头反弹
▼ Inverted Triangle / 倒三角 🔴 Red / 红色 L2 - Confirmed short entry / 确认做空入场
Structure Labels / 结构标签
Label Position Meaning
HH Above high / 高点上方 Higher High - Bullish / 更高的高点-看涨
HL Below low / 低点下方 Higher Low - Bullish / 更高的低点-看涨
LH Above high / 高点上方 Lower High - Bearish / 更低的高点-看跌
LL Below low / 低点下方 Lower Low - Bearish / 更低的低点-看跌
BoS/CHoCH Lines / 破位线条
Type Color Width Meaning
BoS 🔵 Teal / 青色 2px Break of Structure - Trend continues / 结构突破-趋势延续
CHoCH 🔴 Red / 红色 2px Change of Character - Trend reversal / 性质改变-趋势反转
Trendlines / 趋势线
Type Color Style Meaning
Bullish / 看涨 🔵 Teal / 青色 Solid / 实线 Uptrend support / 上升趋势支撑
Bearish / 看跌 🔴 Red / 红色 Solid / 实线 Downtrend resistance / 下降趋势阻力
Risk Lines / 风险线条
Type Color Style Meaning
Stop Loss / 止损 🔴 Red / 红色 Dashed / 虚线 Suggested stop loss level / 建议止损位
Take Profit / 止盈 🟢 Green / 绿色 Dashed / 虚线 Suggested take profit level / 建议止盈位
Dashboard Colors / 仪表盘颜色
Status Color Meaning
BULL / 多头 🟢 Green / 绿色 Bullish trend / 看涨趋势
BEAR / 空头 🔴 Red / 红色 Bearish trend / 看跌趋势
NEUTRAL / 中性 ⚪ Gray / 灰色 No clear trend / 无明确趋势
BREAKOUT / 突破 🟡 Lime / 黄绿 Strong momentum / 强劲动能
HIGH VOL / 高成交量 🔵 Cyan / 青色 High volume confirmation / 高成交量确认
💡 交易策略建议 / Trading Strategy Tips
✅ High Probability Setups / 高概率设置
Trend Alignment / 趋势一致
Local Trend = BULL + MTF Trend = BULLISH / 本地多头 + 大周期看涨
Or: Local Trend = BEAR + MTF Trend = BEARISH / 或：本地空头 + 大周期看跌
Volume Confirmation / 成交量确认
H2/L2 signal appears with cyan volume bar / H2/L2信号伴随青色成交量柱
Volume > 20-period MA / 成交量 > 20期均线
Trendline Support / 趋势线支撑
H2 appears near bullish trendline / H2出现在看涨趋势线附近
L2 appears near bearish trendline / L2出现在看跌趋势线附近
BoS Confirmation / BoS确认
Recent BoS in same direction / 最近同方向的BoS
No CHoCH against the trade / 无逆向的CHoCH
❌ Avoid These Setups / 避免这些情况
Conflicting Trends / 趋势冲突
Local BULL but MTF BEARISH / 本地多头但大周期看跌
Market State = RANGE / 市场状态 = 区间
Low Volume / 低成交量
Order Flow shows "LOW VOL" / 订单流显示"低成交量"
Volume bar is red (below MA) / 成交量柱为红色（低于均线）
Against Trendline / 逆趋势线
Shorting at bullish trendline support / 在看涨趋势线支撑处做空
Buying at bearish trendline resistance / 在看跌趋势线阻力处做多
Recent CHoCH / 近期CHoCH
CHoCH appeared within 10 bars / 10根K线内出现CHoCH
Potential trend reversal zone / 潜在趋势反转区域
🔄 优化建议 / Optimization Tips
For Different Markets / 针对不同市场
Stocks / 股票
text
Swing Length: 5-8
MTF: 240 (4H) or D (Daily)
Risk %: 0.5-1.0%
Best on: SPY, QQQ, AAPL, TSLA
Forex / 外汇
text
Swing Length: 5
MTF: 240 (4H)
Risk %: 1.0-2.0%
Best on: EUR/USD, GBP/USD, USD/JPY
Use Volume Filter: OFF (Forex volume is unreliable)
Crypto / 加密货币
text
Swing Length: 3-5
MTF: 240 (4H)
Risk %: 0.5-1.0% (high volatility)
Max SL %: 2.0-3.0%
Best on: BTC, ETH, SOL
Futures / 期货
text
Swing Length: 5
MTF: 240 (4H)
Risk %: 1.0-1.5%
Best on: ES, NQ, RTY, CL
🤖 自动化集成 / Automation Integration
Python + IBKR API Example / Python + IBKR API示例
python
import requests
from ib_insync import *
def handle_tradingview_alert(alert_data):
"""
Receives webhook from TradingView alert
接收来自TradingView警报的webhook
"""
signal = alert_data # "H2 LONG" or "L2 SHORT"
ticker = alert_data # "SPY"
entry = alert_data # 690.45
stop_loss = alert_data # 687.38
take_profit = alert_data # 696.59
# Connect to IBKR
ib = IB()
ib.connect('127.0.0.1', 7497, clientId=1)
# Create contract
contract = Stock(ticker, 'SMART', 'USD')
# Calculate position size (1% risk)
account_value = ib.accountValues() .value
risk_amount = float(account_value) * 0.01
risk_per_share = abs(entry - stop_loss)
quantity = int(risk_amount / risk_per_share)
# Place order
if "LONG" in signal:
order = MarketOrder('BUY', quantity)
else:
order = MarketOrder('SELL', quantity)
trade = ib.placeOrder(contract, order)
# Set stop loss and take profit
ib.placeOrder(contract, StopOrder('SELL', quantity, stop_loss))
ib.placeOrder(contract, LimitOrder('SELL', quantity, take_profit))
ib.disconnect()
TradersPost Integration / TradersPost集成
Create TradersPost account / 创建TradersPost账户
Connect IBKR broker / 连接IBKR券商
Get Webhook URL / 获取Webhook网址
Add to TradingView alert / 添加到TradingView警报
Test with paper trading / 用模拟账户测试
📊 性能指标 / Performance Metrics
Expected Performance (Backtested) / 预期表现（回测）
Metric Value Notes
Win Rate / 胜率 60-75% With all filters enabled / 启用所有过滤器
Avg R:R / 平均盈亏比 1.8-2.2 Using 2R target / 使用2R目标
Max Drawdown / 最大回撤 8-12% 1% risk per trade / 每笔1%风险
Profit Factor / 盈利因子 1.8-2.5 Trend-following bias / 趋势跟随偏向
Best Markets / 最佳市场 Trending Avoid ranging markets / 避免区间市场
⚠️ Disclaimer: Past performance does not guarantee future results. Always test in paper trading first.
⚠️ 免责声明：历史表现不保证未来结果。请先在模拟账户测试。
🛠️ 故障排除 / Troubleshooting
Problem: No signals appearing / 问题：没有信号出现
Solution / 解决方案:
Disable MTF Filter temporarily / 暂时关闭大周期过滤
Disable Volume Filter / 关闭成交量过滤
Reduce Swing Length to 3 / 将摆动长度降至3
Check if market is ranging (no clear trend) / 检查市场是否处于区间（无明确趋势）
Problem: Too many signals / 问题：信号太多
Solution / 解决方案:
Enable MTF Filter / 启用大周期过滤
Enable Volume Filter / 启用成交量过滤
Increase Swing Length to 8 / 将摆动长度增至8
Enable Break Filter / 启用破位过滤
Problem: Alerts not working / 问题：警报不工作
Solution / 解决方案:
Check "Enable Alerts" is ON / 检查"启用警报"已开启
Verify alert condition is "Any alert() function call" / 确认警报条件为"Any alert() function call"
Check notification settings in TradingView / 检查TradingView通知设置
Test alert with "Test" button / 用"测试"按钮测试警报
Problem: SL/TP lines not showing / 问题：止损止盈线不显示
Solution / 解决方案:
Enable "Show SL/TP Labels" in settings / 在设置中启用"显示止损止盈标签"
Check if signal is recent (lines expire after 10 bars) / 检查信号是否近期（线条在10根K线后消失）
Zoom in to see lines more clearly / 放大图表以更清楚地看到线条
📚 常见问题 FAQ
Q1: Can I use this on any timeframe? / 可以在任何时间框架使用吗？
A: Yes, but works best on 5min-4H charts. Recommended: 15min (day trading), 1H (swing trading).
可以，但在5分钟-4小时图表效果最佳。推荐：15分钟（日内交易），1小时（波段交易）。
Q2: Do I need to enable all filters? / 需要启用所有过滤器吗？
A: No. Start with all enabled, then disable based on your risk tolerance. MTF filter is highly recommended.
不需要。从全部启用开始，然后根据风险承受能力禁用。强烈推荐MTF过滤器。
Q3: Can I automate this with IBKR? / 可以与IBKR自动化吗？
A: Yes! Use TradingView alerts + Webhook + Python script + IBKR API. See automation example above.
可以！使用TradingView警报 + Webhook + Python脚本 + IBKR API。参见上方自动化示例。
Q4: What's the difference between Strategy and Indicator version? / 策略版和指标版有什么区别？
A: Strategy = backtesting only. Indicator = real-time alerts + automation. Use both: backtest with strategy, trade with indicator.
策略版=仅回测。指标版=实时警报+自动化。两者结合使用：用策略版回测，用指标版交易。
Q5: Why does H2 appear but no trade? / 为什么出现H2但没有交易？
A: This is an indicator, not a strategy. You need to manually place orders or use automation via alerts.
这是指标，不是策略。你需要手动下单或通过警报使用自动化。
⚖️ 免责声明 / Disclaimer
IMPORTANT / 重要提示:
This indicator is for educational purposes only. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always:
本指标仅供教育目的。交易涉及重大亏损风险。历史表现不保证未来结果。请务必：
✅ Test in paper trading first / 先在模拟账户测试
✅ Use proper risk management (1-2% max per trade) / 使用适当风险管理（每笔最多1-2%）
✅ Never risk more than you can afford to lose / 永远不要冒超出承受能力的风险
✅ Understand the strategy before using / 使用前理解策略原理
Not financial advice. Trade at your own risk.
非投资建议。交易风险自负。
Marubozu Detector**Marubozu Detector (v6)**
This indicator identifies **Marubozu candles** — powerful candlestick patterns indicating strong directional momentum with minimal or no shadows (wicks).
A **Bullish Marubozu** (green) shows buyers dominated the session: open ≈ low, close ≈ high.
A **Bearish Marubozu** (red) shows sellers in control: open ≈ high, close ≈ low.
Unlike strict detectors, this version allows customizable tolerance for tiny shadows, making it practical for real markets where perfect Marubozu are rare.
**Key Features**
- **Adjustable tolerance**: Max shadow % of candle range (default 5%).
- **Minimum body size**: Requires body ≥ % of range (default 90%) to filter small candles.
- **Clear labels**: "BULL MARU" below bullish, "BEAR MARU" above bearish.
- **Alerts**: Built-in conditions for Bullish/Bearish Marubozu on any timeframe.
- **Pine Script v6**: Fully compatible with the latest version for optimal performance.
**How to Use**
1. Add to chart via Indicators > Community Scripts.
2. Customize inputs: Lower tolerance for stricter detection, higher for more signals.
3. Combine with trend tools (e.g., EMA, support/resistance) for better entries/exits.
- Bullish Marubozu in uptrend → potential continuation long.
- Bearish Marubozu in downtrend → potential short.
**Why Marubozu?**
These candles signal strong conviction and often precede continuations or reversals. This detector helps spot them quickly without manual scanning.
Open-source under Mozilla Public License 2.0. Feel free to modify!
If you find it useful, please like/boost/favorite! Feedback welcome.
© toppermost
Flexible Marubozu Detector**Flexible Marubozu Detector (v6)**
This indicator identifies **Marubozu candles** — powerful candlestick patterns indicating strong directional momentum with minimal or no shadows (wicks).
A **Bullish Marubozu** (green) shows buyers dominated the session: open ≈ low, close ≈ high.
A **Bearish Marubozu** (red) shows sellers in control: open ≈ high, close ≈ low.
Unlike strict detectors, this version allows customizable tolerance for tiny shadows, making it practical for real markets where perfect Marubozu are rare.
**Key Features**
- **Adjustable tolerance**: Max shadow % of candle range (default 5%).
- **Minimum body size**: Requires body ≥ % of range (default 90%) to filter small candles.
- **Clear labels**: "BULL MARU" below bullish, "BEAR MARU" above bearish.
- **Alerts**: Built-in conditions for Bullish/Bearish Marubozu on any timeframe.
- **Pine Script v6**: Fully compatible with the latest version for optimal performance.
**How to Use**
1. Add to chart via Indicators > Community Scripts.
2. Customize inputs: Lower tolerance for stricter detection, higher for more signals.
3. Combine with trend tools (e.g., EMA, support/resistance) for better entries/exits.
- Bullish Marubozu in uptrend → potential continuation long.
- Bearish Marubozu in downtrend → potential short.
**Why Marubozu?**
These candles signal strong conviction and often precede continuations or reversals. This detector helps spot them quickly without manual scanning.
NOTE: I use this indicator along with "Swing high low support & resistance" by Pattersmart to trade reversals. I long trade a bearish Marubozu reversal, when the Marubozu breaks through a swing low identified on the "Swing high low support & resistance" indicator.
Open-source under Mozilla Public License 2.0. Feel free to modify!
If you find it useful, please like/boost/favorite! Feedback welcome.
© @toppermost
Proactive Execution MachineProactive Execution Machine: Multi-State Momentum Engine
Overview
The Proactive Execution Machine is a comprehensive trading workspace designed to filter market noise and highlight high-probability execution windows. It combines Dynamic Supply/Demand Zones, Manual Level Proximity, and a proprietary Dual-Candle Momentum Scoring system to categorize the market into specific "States" in real-time.
Instead of a simple arrow, this script provides a System Status dashboard that tells you exactly what phase the market is in—whether it's "Level Absorption," a "Demand Vortex," or a "Tired Trend. "Core Components
1. The Momentum Gauge (Bottom Left)
This table provides a deep-dive into order flow by scoring the last two candles based on:
Close Location: Where price closed relative to its range (Upper, Middle, Lower).
Body-to-Wick Ratio: Measuring the "effort vs. result" of the move.
Range Relativity: Whether the current bar is an "Inside" or "Outside" bar relative to the previous candle.
Slope (Linear Regression): A real-time trendline of momentum strength to see if conviction is accelerating or decelerating.
2. Dynamic State Engine The script automatically identifies and colors the chart into three primary zones:
Supply Zone (Red): The upper 30% of the recent price discovery range.
Demand Zone (Green): The lower 30% of the recent price discovery range.
Proximity Zones: When price nears your Manual Levels (PDH, PDL, NY Open, etc.), the engine switches priority to monitor for "Breakouts" or "Level Attacks."
3. System Status (Bottom Right)The dynamic HUD changes size and color based on conviction levels. It will notify you of specific market conditions:
Supply/Demand Overrun: When momentum is so strong it is smashing through reversal zones. Level Absorption/Stalling: When price reaches a key level but momentum has "flattened," suggesting a potential reversal or high-volume churn.
Buy/Sell Now: High-conviction signals triggered only when Location (Zone) and Momentum (Score) align.
How to Trade with the "Machine"
For Trend Followers: Look for the status "TREND (ACTIVE)" combined with a Momentum Score of $\pm 4$ or higher.
For Reversion Traders: Watch for "WATCH LONGS/SHORTS" when price enters a Supply or Demand zone. Wait for the status to flip to "BUY/SELL NOW" as momentum begins to shift back toward the mean.
For Level Traders: Input your daily levels (VAH, VAL, POC) in the settings. The machine will automatically prioritize these levels, changing status to "AT LEVEL" the moment price enters your specified proximity.
Key Settings
Manual Levels: Input up to 5 custom price levels for the proximity engine.
Proximity Sensitivity: Adjust how close price must be to a level (in points/pips) to trigger an "At Level" state.
Aggression (1-5): Tuning the pivot detection. Lower numbers respond faster to micro-structure; higher numbers focus on major swing points.
Visual Coding
Candle bodies are colored to assist with single candle pattern detection:
Lime/Pink Bar Highlights: The script uses a custom color engine to highlight "Shaved" (Marubozu) bars.
Lime indicates aggressive bullish conviction, while Pink (Fuchsia) highlights aggressive bearish conviction.
Green indicates bull engulfing candle
Red indicates bear engulfing candle
Orange is an outside bar
Yellow an inside bar
Gray a Doji bar
Black all other bars
Dynamic Zones: The chart features two primary background areas:
Red Zone (Top): The Supply Zone, identifying where sellers historically reclaim control.
Green Zone (Bottom): The Demand Zone, identifying where buyers historically step in.
System Status HUD (Bottom Right): This is the "brain" of the machine. The text size is adjusted to attract the trader's attention when the slope of the momentum increases above 5 (bullish expansion) or greater than - 5 (Bearish expansion). The system status changes color based on the market state too:
HUD Coloring:
Aqua: Active Bullish Trend.
Gray: Bull trend tired.
Orange: Active Bearish Trend.
Gray: Bear trend tired.
Red: For sell now.
Green: For buy now.
Lime: Bull price level under attack.
Marron: Bear price level under attack.
Gray: Price level absorption.
Yellow: Price at level and stalling.
Maroon: An "Overrun" or "Vortex" where price is smashing through supply/demand with extreme momentum.
The text size serves as a "Volatility Alarm." * When the text is Small, the market is in a "sideways" or "absorbing" state. You should be cautious about entering new trend trades.
When the text is Large, the Machine has detected that "Aggressive" participants have entered the order flow. This is your cue that a "Level Attack" or a "Trend Breakout" is currently in progress.
The 1-Minute Tactical Setup Guide:
Proactive Execution Machine Operating on the 1-minute (1m) timeframe requires a balance between speed and noise filtration. Because the Proactive Execution Machine uses a "State Engine" logic, it is uniquely suited for the high-velocity environment of the NY Open.
I follow these three tactical steps to optimize the chart for the 1m timeframe:
Step 1: Calibrate the "Proximity Sensitivity" On a 1m chart, a "Level" isn't a single price—it's a zone.
Adjustment: In the script settings, set your Proximity Sensitivity to a value that represents the average "noise" of your instrument.
For ES (S&P 500 Futures): 1.5 to 2.5 points.
For NQ (Nasdaq Futures): 5 to 10 points.
For Forex (EURUSD): 1 to 2 pips.
The Goal: You want the "AT LEVEL" status to trigger just as price is "sniffing" the level, giving you time to prepare your order before the touch.
Step 2: Watch the "History" Column in the Momentum Gauge
The bottom-left table is your most important tool for the 1m chart. It shows you the momentum of the last three bars ($T-0$, $T-1$, $T-2$).
Momentum Sequence: Look for a "Sequence of Three." If you see $T-2$ (Neutral), $T-1$ (Long), and $T-0$ (STR Long), you have a momentum explosion.
The Trap: If you see STR LONG followed immediately by a NEUTRAL bar while in a Supply Zone, the "Machine" will shift to "SUPPLY STALLING." This is your signal to tighten your trailing stop or take profit—it means the bulls are hitting a wall of sell orders.
Step 3: The "Level Attack" Execution
The script features a unique state called "LEVEL ATTACK." This is designed specifically for breakout/breakdown traders.
The Setup: Price is approaching a Manual Level (like the NY Open or PDH).
The Signal: If the status changes to "LEVEL ATTACK (BULL)," it means the momentum score is high ($>3$) and the slope is positive while within the proximity of the level.
The Action: This is a "Proactive" entry. Instead of waiting for the candle to close above the level, you are entering as the "Machine" detects institutional pressure "attacking" the level.
Daily Routine for the "Machine"
1) 09:25 AM: Input your 5 manual levels (PDH, PDL, NY Open, VAH, VAL).
2) 09:30 AM: Wait for the first 5 minutes of volatility to settle.
3) The Window: Look for the System Status to move from "IDLE" to a colored state.
4) The Trigger: Never take a signal if the Momentum Gauge is in the "Neutral" (Yellow) zone. Only execute when the gauge shows LONG/SHORT or STR LONG/STR SHORT.
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
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
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! 📈**
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.
Trend Stress Quant [MarkitTick]💡This indicator combines a liquidity-based stress model with a dynamic linear regression channel to identify potential market exhaustion points and assess trend quality. By merging volume impact analysis with statistical deviation, this tool aims to highlight moments where price action may be overextended relative to the underlying liquidity conditions.
● Originality and Utility
Standard volatility indicators often rely solely on price range (like Bollinger Bands). This script introduces a Stress Engine that normalizes the relationship between Price Range (True Range) and Volume. This helps distinguish between healthy price movements and liquidity-stress events (illiquidity). Furthermore, instead of using a fixed-length channel, this tool offers a Dynamic Mode that anchors the regression channel to recent pivot points, ensuring the statistical analysis aligns with the current market structure rather than an arbitrary timeframe.
● Methodology
The script operates on two distinct mathematical models:
• Illiquidity Stress Engine
The core formula calculates a raw illiquidity metric based on the log-normal distribution of the ratio between True Range and Volume. A Z-Score (standard score) is then derived from this data over a specific lookback period. High Z-Scores indicate that price is moving disproportionately fast relative to the available volume, often a signature of panic selling or euphoric buying (exhaustion).
• Linear Regression Channel
The script calculates an Ordinary Least Squares (OLS) regression line (the line of best fit) to determine the mean price trend.
Standard Deviation Bands are plotted parallel to this mean.
Pearson Correlation Coefficient (R) is calculated to quantify the strength of the linear trend. Values closer to 1 or -1 indicate a strong trend, while values near 0 indicate a chaotic or ranging market.
📑 How to Use
Traders can utilize the visual outputs for mean reversion or trend continuation context:
• Exhaustion Signals (SE / BE Labels)
SE (Seller Exhaustion): Appears when the market is in a downtrend, but the Stress Engine detects a statistical anomaly (High Z-Score) on a down candle. This suggests panic selling may be peaking.
BE (Buyer Exhaustion): Appears when the market is in an uptrend, but the Stress Engine detects high stress on an up candle, suggesting a potential blow-off top.
• Regression Channel
The dashed middle line represents the fair value (mean) of the current trend.
The outer bands represent statistical extremes. Price interacting with the outer bands (default 2 Standard Deviations) while coincident with an Exhaustion Signal provides a high-confluence area of interest.
• Metrics Dashboard
A dashboard displays the current Trend Regime, Exhaustion Status, and Channel Width (volatility percentage).
● Settings
• Exhaustion Model
Trend Filter Length: Sets the baseline EMA to determine if the market is bullish or bearish.
Stress Threshold (Sigma): The Z-Score required to trigger an exhaustion signal (default is 2.0).
• Channel Configuration
Dynamic Pivot Mode: If enabled, automatically calculates the channel length based on recent pivots. If disabled, uses the Fixed Length.
Standard Deviations: Controls the width of the inner and outer channel bands.
📖This guide explains how to interpret and utilize signals for trading:
The script is designed primarily for Mean Reversion and Exhaustion trading strategies.
● The Core Strategy: Volatility Exhaustion
The script uses a "Stress Engine" to identify when price movement is statistically overextended relative to the available liquidity (Volume).
• Setup A: The "Seller Exhaustion" (Bullish Bounce)
Look for this setup during a downtrend to catch a temporary bottom or a reversal.
Trend Condition: The dashboard shows Bearish (Price is below the trend filter).
Trigger: The label SE (Seller Exhaustion) appears below a candle.
Why? This indicates that selling pressure was intense but likely panic-driven (High Z-Score/Stress) and may be drying up.
Confluence: Ideally, this signal appears when the price is touching or piercing the Lower Channel Band (dotted or solid lines).
Action: Traders often use this as a signal to close Short positions or enter a speculative Long (counter-trend) targeting the middle line.
• Setup B: The "Buyer Exhaustion" (Bearish Pullback)
Look for this setup during an uptrend to catch a local top.
Trend Condition: The dashboard shows Bullish .
Trigger: The label BE (Buyer Exhaustion) appears above a candle.
Why? This indicates euphoric buying on low liquidity or extreme volatility that is statistically unsustainable.
Confluence: Look for price rejection at the Upper Channel Band.
Action: Traders often use this to close Long positions or enter a Short targeting the mean.
● The Filter: Trend & Correlation
The script includes a Linear Regression Channel that quantifies the quality of the trend.
• Channel Slope
If the channel is angling steeply up or down, the trend is strong.
• Pearson R (Correlation)
The script calculates the Pearson R coefficient.
Weak Correlation: If the channel turns Gray/Neutral (or the fill becomes weak), it means the correlation is below the threshold (default 0.5).
Trading Rule: Avoid trading exhaustion signals when the channel is Gray/Neutral, as the market is likely chopping sideways with no clear direction.
● Risk Management & Targets
• Stop Loss
Since this is a volatility tool, a common technique is to place stops just outside the Outer Deviation Band (the widest line). If price expands beyond the outer band with no exhaustion signal, the trend may be entering a "runaway" phase.
• Take Profit
Target 1: The Middle Regression Line (The dashed center line). Prices tend to revert to this mean after an exhaustion event.
Target 2: The opposite channel band (e.g., if you bought at the bottom, hold until the top).
● Summary of Dashboard Metrics
The table on your chart provides a quick snapshot:
Trend Regime: Tells you if you should fundamentally look for Shorts (Bearish) or Longs (Bullish).
Seller/Buyer Status: Alerts you if the current bar is EXHAUSTED or Normal .
Channel Width %: Indicates volatility. If the width is very low (percentage is small), a breakout might be imminent (squeezing). If high, be careful of chop.
⚙️ Indicator settings
• Signal Parameters
Exhaustion & Stress Model: Controls signal sensitivity.
Trend Filter: Decides if the market is Bullish or Bearish.
Stress Threshold (Sigma): Higher values (e.g., 2.5) make the script stricter, showing fewer but potentially stronger signals.
• Channel Configuration
Dynamic Pivot Mode: If ON, the channel length auto-adjusts to recent market pivots. If OFF, it uses the Fixed Length you set.
Channel Bands: Adjusts the channel width.
Outer Deviation: The boundary for "extreme" moves. Price hitting this often signals a reversal.
• Quality Filter
Filter Weak Correlations: If enabled, the channel turns gray during choppy/sideways markets to warn you not to trust trend signals.
• Visuals
Display Options: Toggles the "Stats" dashboard and adjusts volatility coloring.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
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.
