Hurst-Optimized Adaptive Channel [Kodexius]Hurst-Optimized Adaptive Channel (HOAC) is a regime-aware channel indicator that continuously adapts its centerline and volatility bands based on the market’s current behavior. Instead of using a single fixed channel model, HOAC evaluates whether price action is behaving more like a trend-following environment or a mean-reverting environment, then automatically selects the most suitable channel structure.
At the core of the engine is a robust Hurst Exponent estimation using R/S (Rescaled Range) analysis. The Hurst value is smoothed and compared against user-defined thresholds to classify the market regime. In trending regimes, the script emphasizes stability by favoring a slower, smoother channel when it proves more accurate over time. In mean-reversion regimes, it deliberately prioritizes a faster model to react sooner to reversion opportunities, similar in spirit to how traders use Bollinger-style behavior.
The result is a clean, professional adaptive channel with inner and outer bands, dynamic gradient fills, and an optional mean-reversion signal layer. A minimalist dashboard summarizes the detected regime, the current Hurst reading, and which internal model is currently preferred.
🔹 Features
🔸 Robust Regime Detection via Hurst Exponent (R/S Analysis)
HOAC uses a robust Hurst Exponent estimate derived from log returns and Rescaled Range analysis. The Hurst value acts as a behavioral filter:
- H > Trend Start threshold suggests trend persistence and directional continuation.
- H < Mean Reversion threshold suggests anti-persistence and a higher likelihood of reverting toward a central value.
Values between thresholds are treated as Neutral, allowing the channel to remain adaptive without forcing a hard bias.
This regime framework is designed to make the channel selection context-aware rather than purely reactive to recent volatility.
🔸 Dual Channel Engine (Fast vs Slow Models)
Instead of relying on one fixed channel, HOAC computes two independent channel candidates:
Fast model: shorter WMA basis and standard deviation window, intended to respond quickly and fit more reactive environments.
Slow model: longer WMA basis and standard deviation window, intended to reduce noise and better represent sustained directional flow.
Each model produces:
- A midline (basis)
- Outer bands (wider deviation)
- Inner bands (tighter deviation)
This structure gives you a clear core zone and an outer envelope that better represents volatility expansion.
🔸 Rolling Optimization Memory (Model Selection by Error)
HOAC includes an internal optimization layer that continuously measures how well each model fits current price action. On every bar, each model’s absolute deviation from the basis is recorded into a rolling memory window. The script then compares total accumulated error between fast and slow models and prefers the one with lower recent error.
This approach does not attempt curve fitting on multiple parameters. It focuses on a simple, interpretable metric: “Which model has tracked price more accurately over the last X bars?”
Additionally:
If the regime is Mean Reversion, the script explicitly prioritizes the fast model, ensuring responsiveness when reversals matter most.
🔸 Optional Output Smoothing (User-Selectable)
The final selected channel can be smoothed using your choice of:
- SMA
- EMA
- HMA
- RMA
This affects the plotted midline and all band outputs, allowing you to tune visual stability and responsiveness without changing the underlying decision engine.
🔸 Premium Visualization Layer (Inner Core + Outer Fade)
HOAC uses a layered band design:
- Inner bands define the core equilibrium zone around the midline.
- Outer bands define an extended volatility envelope for extremes.
Gradient fills and line styling help separate the core from the extremes while staying visually clean. The midline includes a subtle glow effect for clarity.
🔸 Adaptive Bar Tinting Strength (Regime Intensity)
Bar coloring dynamically adjusts transparency based on how far the Hurst value is from 0.5. When market behavior is more decisively trending or mean-reverting, the tint becomes more pronounced. When behavior is closer to random, the tint becomes more subtle.
🔸 Mean-Reversion Signal Layer
Mean-reversion signals are enabled when the environment is not classified as Trending:
- Buy when price crosses back above the lower outer band
- Sell when price crosses back below the upper outer band
This is intentionally a “return to channel” logic rather than a breakout logic, aligning signals with mean-reversion behavior and avoiding signals in strongly trending regimes by default.
🔸 Minimalist Dashboard (HUD)
A compact table displays:
- Current regime classification
- Smoothed Hurst value
- Which model is currently preferred (Fast or Slow)
- Trend flow direction (based on midline slope)
🔹 Calculations
1) Robust Hurst Exponent (R/S Analysis)
The script estimates Hurst using a Rescaled Range approach on log returns. It builds a returns array, computes mean, cumulative deviation range (R), standard deviation (S), then converts RS into a Hurst exponent.
calc_robust_hurst(int length) =>
float r = math.log(close / close )
float returns = array.new_float(length)
for i = 0 to length - 1
array.set(returns, i, r )
float mean = array.avg(returns)
float cumDev = 0.0
float maxCD = -1.0e10
float minCD = 1.0e10
float sumSqDiff = 0.0
for i = 0 to length - 1
float val = array.get(returns, i)
sumSqDiff += math.pow(val - mean, 2)
cumDev += (val - mean)
if cumDev > maxCD
maxCD := cumDev
if cumDev < minCD
minCD := cumDev
float R = maxCD - minCD
float S = math.sqrt(sumSqDiff / length)
float RS = (S == 0) ? 0.0 : (R / S)
float hurst = (RS > 0) ? (math.log10(RS) / math.log10(length)) : 0.5
hurst
This design avoids simplistic proxies and attempts to reflect persistence (trend tendency) vs anti-persistence (mean reversion tendency) from the underlying return structure.
2) Hurst Smoothing
Raw Hurst values can be noisy, so the script applies EMA smoothing before regime decisions.
float rawHurst = calc_robust_hurst(i_hurstLen)
float hVal = ta.ema(rawHurst, i_smoothHurst)
This stabilized hVal is the value used across regime classification, dynamic visuals, and the HUD display.
3) Regime Classification
The smoothed Hurst reading is compared to user thresholds to label the environment.
string regime = "NEUTRAL"
if hVal > i_trendZone
regime := "TRENDING"
else if hVal < i_chopZone
regime := "MEAN REV"
Higher Hurst implies more persistence, so the indicator treats it as a trend environment.
Lower Hurst implies more mean-reverting behavior, so the indicator enables MR logic and emphasizes faster adaptation.
4) Dual Channel Models (Fast and Slow)
HOAC computes two candidate channel structures in parallel. Each model is a WMA basis with volatility envelopes derived from standard deviation. Inner and outer bands are created using different multipliers.
Fast model (more reactive):
float fastBasis = ta.wma(close, 20)
float fastDev = ta.stdev(close, 20)
ChannelObj fastM = ChannelObj.new(fastBasis, fastBasis + fastDev * 2.0, fastBasis - fastDev * 2.0, fastBasis + fastDev * 1.0, fastBasis - fastDev * 1.0, math.abs(close - fastBasis))
Slow model (more stable):
float slowBasis = ta.wma(close, 50)
float slowDev = ta.stdev(close, 50)
ChannelObj slowM = ChannelObj.new(slowBasis, slowBasis + slowDev * 2.5, slowBasis - slowDev * 2.5, slowBasis + slowDev * 1.25, slowBasis - slowDev * 1.25, math.abs(close - slowBasis))
Both models store their structure in a ChannelObj type, including the instantaneous tracking error (abs(close - basis)).
5) Rolling Error Memory and Model Preference
To decide which model fits current conditions better, the script stores recent errors into rolling arrays and compares cumulative error totals.
var float errFast = array.new_float()
var float errSlow = array.new_float()
update_error(float errArr, float error, int maxLen) =>
errArr.unshift(error)
if errArr.size() > maxLen
errArr.pop()
Each bar updates both error histories and computes which model has lower recent accumulated error.
update_error(errFast, fastM.error, i_optLookback)
update_error(errSlow, slowM.error, i_optLookback)
bool preferFast = errFast.sum() < errSlow.sum()
This is an interpretable optimization approach: it does not attempt to brute-force parameters, it simply prefers the model that has tracked price more closely over the last i_optLookback bars.
6) Winner Selection Logic (Regime-Aware Hybrid)
The final model selection uses both regime and rolling error performance.
ChannelObj winner = regime == "MEAN REV" ? fastM : (preferFast ? fastM : slowM)
rawMid := winner.mid
rawUp := winner.upper
rawDn := winner.lower
rawUpInner := winner.upper_inner
rawDnInner := winner.lower_inner
In Mean Reversion, the script forces the fast model to ensure responsiveness.
Otherwise, it selects the lowest-error model between fast and slow.
7) Optional Output Smoothing
After the winner is selected, the script optionally smooths the final channel outputs using the chosen moving average type.
smooth(float src, string type, int len) =>
switch type
"SMA" => ta.sma(src, len)
"EMA" => ta.ema(src, len)
"HMA" => ta.hma(src, len)
"RMA" => ta.rma(src, len)
=> src
float finalMid = i_enableSmooth ? smooth(rawMid, i_smoothType, i_smoothLen) : rawMid
float finalUp = i_enableSmooth ? smooth(rawUp, i_smoothType, i_smoothLen) : rawUp
float finalDn = i_enableSmooth ? smooth(rawDn, i_smoothType, i_smoothLen) : rawDn
float finalUpInner = i_enableSmooth ? smooth(rawUpInner, i_smoothType, i_smoothLen) : rawUpInner
float finalDnInner = i_enableSmooth ? smooth(rawDnInner, i_smoothType, i_smoothLen) : rawDnInner
This preserves decision integrity since smoothing happens after model selection, not before.
8) Dynamic Visual Intensity From Hurst
Transparency is derived from the distance of hVal to 0.5, so stronger behavioral regimes appear with clearer tints.
int dynTrans = int(math.max(20, math.min(80, 100 - (math.abs(hVal - 0.5) * 200))))
トレンド分析
Smart Gap Concepts [MarkitTick]💡 This indicator automates the identification and classification of price gaps, commonly known as Fair Value Gaps (FVG) or Imbalances, by integrating market structure and volume analysis. Unlike standard gap detectors that simply highlight empty space on a chart, this script applies algorithmic filters to categorize gaps into three distinct phases of market movement: Breakaway, Runaway, and Exhaustion. This helps traders understand the potential context of a move rather than just seeing a support or resistance zone.
● Originality and Utility
The primary innovation of this tool is its dynamic classification system. It moves beyond visual detection by checking the "why" behind the gap. By referencing Swing Highs and Swing Lows (Market Structure) alongside Volume efficiency, it determines if a gap represents a breakout, a trend continuation, or a climatic end to a move. Additionally, the script features an automated mitigation tracking system that removes gaps from the chart once price has re-tested the midpoint, ensuring the visual workspace remains clean and relevant to current price action.
● Methodology
The script operates on a multi-stage logic engine:
• Gap Detection
It first identifies the core imbalance where the Low of the current bar does not overlap with the High of the bar two periods prior (for bullish gaps), ensuring the intervening candle represents a strong displacement.
• Structural Analysis (Breakaway Gaps)
The script monitors Pivot Highs and Lows. If a gap occurs simultaneously with a close beyond a key structural Pivot, it is classified as a "Breakaway Gap." This signals the potential start of a new trend.
• Volume and Time Analysis (Exhaustion Gaps)
To identify potential reversals, the script looks for "Trend Maturity." If a gap forms after a long duration since the last pivot and is accompanied by a volume spike (defined by the Volume Spike Multiplier), it is labeled as an "Exhaustion Gap."
• Continuation (Runaway Gaps)
If a gap is valid but meets neither the Breakaway nor Exhaustion criteria, it is considered a "Runaway Gap," typically found in the middle of an established trend.
• Dynamic Cleanup
The script tracks the midpoint of every active gap. If price creates a lower low (for bullish gaps) or higher high (for bearish gaps) beyond this midpoint, the gap is considered mitigated and is removed from the screen.
📖 How to Use
Traders can utilize the color-coded classifications to gauge market intent:
Breakaway (Default Blue): Watch these zones for potential trend initiations. These are often high-probability areas for a retest entry after a structure break.
Runaway (Default Orange): These indicate strong momentum. They can be used to trail stop-losses or add to winning positions, as price should ideally not close below these gaps in a healthy trend.
Exhaustion (Default Red): Be cautious when these appear. They suggest the current move is overextended and a reversal or complex pullback may be imminent.
• Exhaustion Gap : A Practical Case Study
• Breakaway Gap: A Practical Case Study
• Runaway Gap : A Practical Case Study
⚙️ Inputs and Settings
Min Gap Size (Points): Filters out insignificant gaps smaller than this threshold.
Structure Lookback: Defines the sensitivity of the Pivot detection (Swing High/Low).
Volume Avg Length & Multiplier: Determines what qualifies as a "Volume Spike" for exhaustion logic.
Trend Maturity: The minimum number of bars required to consider a trend "old" enough for an exhaustion signal.
Visual Settings: Custom colors for each gap type and box extension length.
● 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.
Market Participation Gradient [Interakktive]Market Participation Gradient (MPG) is a diagnostic oscillator that measures the quality and intensity of market participation by combining price efficiency with activity (volume or a FX-safe proxy) into a single 0–100 score.
Most tools tell you "how much activity exists." MPG focuses on "how effective that activity is," helping you differentiate clean directional participation from absorbed / inefficient participation where effort produces limited directional progress.
█ WHAT IT DOES
- Produces a 0–100 participation score (higher = stronger participation environment)
- Uses color as state context (not buy/sell)
- Classifies participation into four tiers for quick readability
- Includes an optional status-line HUD for at-a-glance context without chart clutter
█ WHAT IT DOES NOT DO
- NO buy/sell signals
- NO entries/exits
- NO alerts by default
- NO repainting / no lookahead (diagnostic context only)
█ HOW TO READ MPG
Level (0–100)
- Higher values = stronger participation environment
- Lower values = thin, drifting participation environment
Color (state language, not direction)
- Teal = Clean participation (efficient movement)
- Magenta = Absorbed participation (high activity, low efficiency)
- Amber = Building / transition state
- Grey = Thin / neutral state
█ TIER SYSTEM
MPG uses four tiers:
- THIN (0–20): low participation environment
- BUILDING (20–40): participation emerging / transitional
- STRONG (40–65): solid participation environment (quality becomes more meaningful)
- EXTREME (65+): very high participation environment (contextually important during events or late-cycle pushes)
█ QUALITY ASSESSMENT (STRONG / EXTREME)
Within STRONG and EXTREME tiers, MPG evaluates participation quality:
- Clean (Teal): Efficiency > 55%
- Absorbed (Magenta): Efficiency < 30% AND Activity > 1.5×
- Neutral (Grey): otherwise (mixed quality)
█ STATUS LINE HUD
MPG can display key values in TradingView's status line:
- Minimal: MPG (0–100) + Tier (0–3)
- Full: adds Direction (-1/0/1) and Quality (-1/0/1)
This provides quick context without tables or on-chart panels.
█ HOW IT WORKS (METHODOLOGY)
MPG combines two independent measurements:
1. Efficiency (0–1)
Efficiency = |Net Displacement| / Total Path Length
- High efficiency = price moved more directly
- Low efficiency = price moved less directly (more back-and-forth)
2. Activity (centered at 1.0)
Activity = Current Volume / Average Volume
- Activity > 1 = above-average activity
- Activity < 1 = below-average activity
FX / indices fallback: If volume is unreliable/unavailable, MPG uses a range-based proxy: (High–Low) / ATR (capped) to prevent distortion.
3. Participation Score (0–100)
Participation = Efficiency × √Activity × 100
The square root applies diminishing returns so activity alone cannot dominate without efficiency support.
█ SETTINGS
Core
- ATR Length — normalization baseline
- Efficiency Lookback — bars used for efficiency
- Volume Average Length — baseline for activity
- Smoothing Length — EMA smoothing (1 = minimal smoothing)
Visuals
- Histogram / Line / Tier Bands toggles
- Optional pane background tint (default OFF)
- Theme: Cinematic (subtle) or Vivid (brighter)
HUD
- Status Line HUD toggle
- HUD Detail: Minimal or Full
█ SUITABLE MARKETS
Works on any market with price data. For symbols with unreliable volume (common in FX), MPG automatically uses the range/ATR activity proxy.
█ RELATED (INTERAKKTIVE)
- MER — Market Efficiency Ratio (pure efficiency)
- ERD — Effort–Result Divergence (effort vs outcome)
- VSI — Volatility State Index (expansion/contraction context)
█ DISCLAIMER
This indicator is for educational and informational purposes only and does not constitute financial advice. Always do your own research and use appropriate risk management.
Pivot Levels [BigBeluga]🔵 OVERVIEW
The Pivot Levels indicator automatically detects and draws key market pivot levels across multiple sensitivity settings. Each pivot level represents a significant local high or low in price structure, acting as potential zones of support and resistance. Traders can visualize short-, medium-, and long-term pivot layers simultaneously, helping to identify where price may react, reverse, or break out.
🔵 CONCEPTS
Different pivot lengths provide multi-length sensitivity on the same timeframe — shorter lengths detect local micro-swings, while longer lengths capture broader swing structure within the current chart.
ATR-based color logic marks active, bullish, or bearish pivot zones dynamically.
Lines can extend to the right or both sides to track reactions over time.
🔵 FEATURES
Detects up to four custom pivot levels simultaneously.
Each pivot level has independent settings for length , style , and extension mode .
Auto-colors each pivot as support (green), resistance (orange), or active zone (blue).
Displays dual-width line layers: a solid base and a transparent overlay for visual depth.
Dynamic price labels show exact pivot levels for clarity.
Fully customizable line styles: dashed (--), solid (-), or dotted (..).
Extends lines to the right for future reaction tracking or both directions for structure alignment.
🔵 HOW TO USE
Enable or disable pivot levels (1–4) to control how many layers of structure you want visible.
Use shorter pivot lengths for intraday turning points and longer ones for macro structure.
Watch for multiple pivot lines clustering in the same region — these often mark strong reversal zones.
Observe color changes: green = support, orange = resistance, blue = active neutral zone.
Combine with price action or volume analysis to confirm reactions near major pivots.
🔵 CONCLUSION
The Pivot Levels indicator provides a clean, multi-layered visualization of market structure.
By tracking pivots of varying lengths, traders can easily identify overlapping support and resistance regions, gauge breakout strength, and align trades with the dominant structural zones visible across multiple time horizons.
Daily candle separation + NY open + First hour open Daily candle separation + NY open + First hour open
Malama's Pre-Market BoxThis script is a comprehensive Pre-Market range visualizer designed to replace older, single-candle analysis tools. It automatically highlights the full pre-market session (04:00–09:30 EST) and extends key support/resistance levels into the regular trading day.
Why this script was created (Evolution from previous versions): This is a complete architectural rewrite of the older "Malama's KAYCAP Pre-Market Box."
Old Logic: The previous version focused on isolating a single, specific 1-minute candle (e.g., exactly 4:00 AM) to determine levels.
New Logic: This version tracks the entire pre-market session range. It dynamically updates the True High and True Low as the pre-market develops, providing a much more accurate support/resistance zone for the open.
Visual Overhaul: Instead of static plots, this version uses Pine Script v6 box and line objects to draw a clean, shading-customizable range that automatically extends rightward until the trading session ends.
How it works:
Session Tracking: The script monitors the user-defined session (default 04:00-09:30).
Dynamic Box: As price moves during pre-market, a box is drawn covering the highest high and lowest low of that period.
Level Extension: At 09:30 (Market Open), the script locks the High and Low values. It then projects two horizontal lines (Resistance and Support) across the chart for the rest of the day.
Breakout Detection: If the price closes outside these levels during regular hours, the script can optionally trigger Alerts and plot "BREAK" labels on the chart.
Settings:
Time Settings: Customizable session string (default captures standard US Pre-Market).
Visuals: Fully adjustable box colors, border transparency, and line width.
Signals: Toggle breakout labels on/off.
Alerts Included:
Bullish Breakout: Triggers when price crosses and closes above the Pre-Market High.
Bearish Breakdown: Triggers when price crosses and closes below the Pre-Market Low.
RSI Divergence Indicator (Fixed RSI Color + MTF Table)This script combines a classic RSI divergence indicator with a multi–timeframe RSI dashboard.
Main features:
Detects and plots:
Regular bullish & bearish RSI divergence
Hidden bullish & hidden bearish RSI divergence
Dynamic RSI line color:
Green in strong bullish zone
Red in strong bearish zone
Yellow in neutral zone
Standard RSI levels:
70 / 30 overbought–oversold
50 midline with highlighted band
MTF RSI table:
Compact RSI dashboard on the right side of the chart
Timeframes: 1m, 5m, 15m, 30m, 1h, 4h, 8h, 12h, 1D (each can be turned on/off)
Background color highlights extreme RSI:
Red / orange for overbought
Lime for oversold
This tool is designed to help traders quickly see divergence signals on the current chart while also monitoring RSI conditions across multiple timeframes in one place.
Long Short Trading System With TableSmart Trading System Pro is an advanced TradingView indicator designed for precision and clarity.
It combines Order Blocks, Liquidity Zones, EMA trend alignment, MACD, RSI, Volume, and ATR-based risk management to generate high-quality LONG / SHORT signals.
🔹 Clear trade direction
🔹 Smart entry, stop-loss & multi-level take-profit
🔹 Automatic risk/reward & leverage calculation
🔹 Clean visual dashboard for fast decision-making
Built for traders who value structure, confirmation, and risk control.
Best suited for crypto, forex, and indices on all timeframes.
Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice.
Trading involves risk, and past performance does not guarantee future results.
You are solely responsible for your trading decisions and outcomes.
Daily Candle Bias Backtesting Stats @MaxMaserati This indicator, is a powerful backtesting and probability tool designed to quantify the "follow-through" of specific candle types across different market sessions.
It identifies specific price action setups and tracks whether price hits a "Target" (continuation) or an "Invalidation" (reversal) first, providing real-time win rates for your favorite sessions.
The Candle Bias Stats indicator automatically categorizes every candle based on the MMM candle bias and tracks their historical success rate. It calculates how often a candle's high/low is broken before its opposite end is touched. By breaking this data down into sessions (Asian, London, NY), it identifies high-probability "time-of-day" windows where specific price action setups are most reliable.
MMM CANDLE LOGIC
Bullish Expansion & Breakout Signatures
Bullish Body Close Plus (BuBC Plus): Represents strong bullish momentum where price closes above the previous high and near its own top, signaling that buyers are in complete control.
Bullish Body Close Minus (BuBC Minus): Indicates weak bullish momentum; while the price closes above the previous high, a long top wick shows sellers pushed back, suggesting a potential retest of the previous high.
Bearish Expansion & Breakout Signatures
Bearish Body Close Plus (BeBC Plus): A very strong bearish signal where price closes below the previous low and near its own bottom, indicating sellers are dominant.
Bearish Body Close Minus (BeBC Minus): Signifies weak bearish momentum; the price breaks the previous low but finishes with a long bottom wick as buyers push back, often leading to a retest of the old ceiling.
Bullish Reversal & Trap Signatures (Affinity)
Bullish Affinity Plus (BuAF Plus): A strong bullish reversal where a new low is made, but sellers hit a wall and get trapped, causing price to finish near its top with a long bottom wick.
Bullish Affinity Minus (BuAF Minus): A weak bullish bounce where a new low is made and price finishes back inside the previous range, but buyers lack the energy for a significant move.
Bearish Reversal & Trap Signatures (Affinity)
Bearish Affinity Plus (BeAF Plus): A strong bearish reversal; buyers are trapped after making a new high, and price finishes near its bottom with a long top wick.
Bearish Affinity Minus (BeAF Minus): A weak bearish drop where sellers stop the rise but lack the energy to push price significantly lower.
Neutral & Volatility Signatures
Close Inside Bullish (CI•BuAF): Bullish neutral state where price stays inside the previous candle’s range but finishes in the top half, indicating buyers are slightly more active.
Close Inside Bearish (CI•BeAF): Bearish neutral state where price remains inside the previous box and finishes in the bottom half.
Seek & Destroy Bullish (S&D•BuAF): Bullish volatility characterized by price moving above and below the previous candle before buyers win the battle and close price near the top.
Seek & Destroy Bearish (S&D•BeAF): Bearish volatility where sellers win a high-chaos battle, closing price near the bottom after sweeping both sides of the previous candle.
H4 CANDLE EXAMPLE
Deep Dive: Analysis of the 4H Statistics
The image presents a comprehensive backtest of 4,999 total candles from September 2022 to December 2025. Here is the breakdown of what the interface is telling us:
1. The Strategy: Target vs. Invalidation
The indicator tracks BuBC (Bullish Body Close) and BeBC (Bearish Body Close).
The Target: For a Bullish candle, the target is the High. For a Bearish candle, it is the Low.
The Invalidation: The opposite end of the candle (the Low for Bullish, the High for Bearish).
The Goal: To see which level is touched first in the subsequent bars.
2. Global Performance (The Top Right Table)
Looking at the BuBC (1402 samples) section:
Target First (67.8%): In nearly 7 out of 10 cases, once a 4H candle closes "bullish" (breaking the previous high), the price continues higher to break its own high before it ever returns to take out its own low.
Both Hit (17.7%): This is a critical metric. It represents "Stop Runs" or "Wicks" where price hits the target but also hits the invalidation within the same tracking period.
Efficiency (1.3 Bars): This tells us the "follow-through" is almost immediate. If the trade doesn't work within 1 or 2 candles, the statistical edge drops off significantly.
3. The Session Breakdown (The Bottom Left Table)
This is where the "Edge" is found. Not all hours of the day are created equal.
Asian Late (02:00-06:00) – The "Star" Performer: With a 72.9% Target rate, this is labeled "BEST." It has the lowest "Both%" (6.5%), meaning moves during these hours are incredibly "clean." If a setup forms here, price usually moves directly to the target without looking back.
London Open & Overlap (06:00-14:00): These sessions maintain a high win rate (approx. 70%). This suggests that the European session provides reliable trend continuation for the S&P 500.
NY Session (14:00-18:00) – The "Trap" Zone: This is labeled "WORST" for a reason. While the win rate is basically a coin flip (49.6%), the Both% spikes to 36.7%. This means that even if you are right about the direction, the market is highly likely to "sweep" your stop loss before going to the target. It is the most volatile and "fake-out" prone time for this specific setup.
Summary of the Data
The statistics show that the S&P 500 4H Candle Bias is a highly reliable trend-following indicator, provided you trade it at the right time.
The data suggests a clear three-step logic:
Directional Edge: Both Bullish and Bearish body closes have a natural ~67% probability of continuation.
Timing is Everything: Trading during the Late Asian and London sessions increases your probability of success to over 70% with very low risk of a "fake-out."
Risk Warning: Avoid "Body Close" breakout strategies during the NY Mid-day (14:00-18:00). The statistics prove that this window is dominated by "Seek and Destroy" price action, where price is mathematically likely to hit both your target and your stop, usually hitting the stop first.
SB A / A++ ALERT ENGINE (Alerts Only)SB A / A++ Alert Engine
Session-Based Level Rejection Strategy (Automation-Ready)
Overview
The SB A / A++ Alert Engine is a rules-based TradingView indicator designed to identify high-probability institutional-style reversal trades using Stacey Burke–inspired concepts such as previous day levels, session structure, opening ranges, and round numbers.
This tool is alerts-only by design, making it ideal for:
TradingView alerts
Webhook automation
Telegram / Discord signal delivery
External trade execution systems
It does not repaint and evaluates signals on confirmed bar close only.
---
Core Trading Idea
Price frequently reacts at important reference levels during active trading sessions.
This script looks for rejection + confirmation at those levels and grades setups based on confluence and candle quality.
Only A-grade and A++-grade setups are alerted.
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What the Script Detects
📌 Key Levels (Confluence Engine)
Previous Day High / Low
Initial Balance (Mon–Tue range, active Wed–Fri)
Session Opening Range (first hour of London / NY)
Round Numbers (configurable tick spacing)
Each level touched contributes to confluence — without double-counting the same zone.
---
🕒 Session Control
Signals are only allowed during:
London Session
New York Session
Includes:
Session resets
Max alerts per session
Cooldown between signals
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🔎 Candle Confirmation
Valid signals require clear rejection behavior, such as:
Bullish / Bearish Engulfing candle
Strong Pin Bar (wick ≥ 2× body)
---
🧠 Trade Grades
A Trade
Valid session
ATR percentile filter passed
≥ 1 level of confluence
Directional rejection
A++ Trade
All A-Trade rules
Strong confirmation candle (engulf or pin)
≥ 2 independent confluence zones
Grades are displayed visually and included in alert payloads.
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📊 Volatility Filter (ATR Percentile)
Instead of fixed ATR thresholds, the script uses an ATR percentile rank, ensuring trades only trigger when volatility is above normal for that market.
This adapts automatically across:
Forex
Indices
Futures
Crypto
---
Visual Output
▲ Green / Lime triangles → LONG (A / A++)
▼ Orange / Red triangles → SHORT (A / A++)
Color intensity reflects trade grade
Optional session shading (if enabled)
---
Alerts & Automation
All alerts are webhook-ready and structured for automation.
Each alert includes:
Symbol
Timeframe
Direction (LONG / SHORT)
Trade grade (A or A++)
Confluence count
Entry price (close of signal bar)
Designed to integrate with:
Telegram bots
Trade execution bridges
Risk management engines
---
What This Script Is (and Is Not)
✅ IS
A high-quality signal engine
Non-repainting
Automation-friendly
Institutional level-based logic
❌ IS NOT
A scalping indicator
A prediction tool
A “trade every candle” system
This tool favors patience, structure, and quality over frequency.
---
Recommended Usage
Timeframes: M5 – M15
Best markets: FX majors, indices, liquid crypto
Combine with your own execution, risk, and trade management rules
---
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always test on demo or paper trading before using live capital.
King Trade 4-hour buy/sell strategyThis is a buy/sell system for 4-hour candlestick charts. For best results, use it on Heiken Ashi candlestick charts.
Mod_Capital-Fibo🔥 Mk_Suhropbek_Fibo — Smart Fibonacci Trading Tool 🔥
Everyone draws Fibonacci.
Only professionals use it correctly.
💎 Mk_Suhropbek_Fibo is an automated Fibonacci indicator that analyzes real market structure and displays only high-probability levels.
📊 How it works:
— Analyzes the last 100 candles
— Automatically detects market trend (BUY / SELL)
— Draws Fibonacci levels in the correct direction
— Clearly marks 0 / 0.236 / 0.382 / 1 / 1.618 (TP)
⏱ Designed for H1 and higher timeframes
✔️ No noisy scalping
✔️ Clean and readable charts
✔️ Suitable for real accounts and prop firms
🔄 Updates only every 25 bars
— Keeps the chart clean
— No constant redrawing
— Focus on quality setups, not quantity
🎯 One setup = a complete trading scenario
— Clear structure
— Logical profit target (1.618)
— No counter-trend trades
📈 Proven market logic
— No overfitting
— Reusable, consistent behavior
— Discipline over emotions
🧠 Who is this indicator for?
✔️ Traders who use Fibonacci seriously
✔️ Those tired of guessing where to draw fib levels
✔️ Traders who treat trading as a business
🚫 No random entries
✅ Clear system
✅ Structured trading
📌 Mk_Suhropbek_Fibo — not prediction, but calculation.
BigLot Quantum SuperTrend V1BigLot Quantum SuperTrend V1 is a trend-following indicator that enhances the traditional SuperTrend by integrating statistical volume analysis.
The script combines an ATR-based SuperTrend engine with Kernel Density Estimation (KDE) applied to relative buy and sell volume. Volume behavior is modeled statistically, allowing the indicator to filter breakout signals and activate only when volume conditions show high probability compared to historical data.
Bullish and bearish signals are generated when price crosses the SuperTrend line and the corresponding volume probability exceeds a user-defined threshold. This approach helps reduce false signals during low-liquidity or sideways market conditions.
The script includes visual trend highlighting, probability-based confidence filtering, and a real-time dashboard displaying trend direction, volume strength, and signal status. It is designed to work across all markets and timeframes without repainting.
Dynamic EMA Trend Table [Customizable]Overview
The Dynamic EMA Trend Table is a comprehensive dashboard designed to give traders an instant overview of the market trend across five distinct Exponential Moving Averages (EMAs). Instead of cluttering your chart with multiple lines, this script organizes the data into a clean, customizable table, allowing you to assess trend alignment at a glance.
How It Works
This indicator calculates five user-defined EMAs (defaulting to the popular 5, 20, 50, 100, and 200 periods). It then compares the Current Price against each EMA value to determine the immediate trend status:
Bullish State: When the current price is above the specific EMA, the table cell turns Green (customizable).
Bearish State: When the current price is below the specific EMA, the table cell turns Red (customizable).
This logic allows swing traders and scalpers to instantly see if the asset is in a strong uptrend (all cells Green), a strong downtrend (all cells Red), or a consolidation phase (mixed colors).
Key Features
Fully Customizable Periods: Change the length of all 5 EMAs to fit your specific strategy (e.g., Fibonacci numbers or standard Swing Trading settings).
Dynamic UI: Position the table anywhere on the screen (Top/Bottom/Left/Right) and adjust the size to fit your screen resolution.
Visual Cleanliness: You can choose to show the table only, or toggle the "Show EMAs on Chart" option to plot the actual lines on your chart.
Smart Coloring: The lines on the chart (if enabled) inherit the same color logic as the table—turning Green when price is above them and Red when price is below.
Settings & Configuration
Price Source: Select Close, High, Low, etc. (Default is Close).
Table Position & Size: Customize where the dashboard appears.
EMA Lengths: Set your 5 preferred lookback periods.
Color Theme: Fully adjustable colors for Bullish, Bearish, Neutral, and Background elements to match your chart theme (Dark/Light mode friendly).
Use Case Example
Trend Confirmation: A trader looking for a "Buy" entry might wait for the short-term EMAs (5 and 20) and the medium-term EMA (50) to all turn Green in the table before entering.
Support/Resistance Watch: By quickly glancing at the values in the table, you can see exactly where the 200 EMA sits without needing to scroll back on your chart to find the line.
Order Blocks & ImbalanceThis indicator automatically identifies and plots Order Blocks (also known as Fair Value Gaps or Imbalances) based on Smart Money Concepts (SMC) and ICT methodology. It detects significant price inefficiencies (gaps between candles) that often act as institutional supply or demand zones.
How It Works (Technical Methodology)
1. Fair Value Gap (FVG) Detection
The indicator identifies classic 3-candle imbalances:
- Bullish Order Block (Demand): When the low of the current candle is significantly below the high of the candle two bars ago (low - high ).
- Bearish Order Block (Supply): When the high of the current candle is significantly above the low of the candle two bars ago (low - high ).
A minimum size threshold is enforced using ATR(14) × user-defined multiplier (default 0.5) to filter out minor gaps and focus on meaningful inefficiencies.
2. Zone Creation
- Bullish zones are created at the candle two bars ago (the "origin" candle where inefficiency occurred).
- Bearish zones use the same origin candle.
- Zone boundaries:
Top = high of origin candle
Bottom = low of origin candle
This captures the full range where price moved aggressively, leaving an imbalance that institutions may later revisit.
3. Mitigation Detection
Zones can be mitigated in two ways (user-selectable):
- "Close": Zone is considered touched only if the close price enters the zone.
- "Wick": Zone is touched if any wick (high/low) enters the zone (more sensitive).
When mitigated:
- Background becomes more transparent
- Border turns dotted
- Label changes to "Mitigated"
Broken zones (price fully closes beyond the opposite side) are automatically deleted.
4. Zone Lifecycle Management
- Active Zone: Strong color fill (green for demand, red for supply) with solid border.
- Mitigated Zone: Faded color, dotted border – indicates partial fill or reduced strength.
- Broken Zone: Automatically removed from chart to reduce clutter.
Old zones are also pruned when exceeding 450 total to maintain performance.
5. Smart Visibility Engine (Optional)
When enabled:
- All zones are initially hidden.
- Only the closest relevant zones are shown:
- Up to user-defined limit (default 10) highest bullish zones (closest below price)
- Up to user-defined limit (default 10) lowest bearish zones (closest above price)
- Visible zones are automatically extended to the right and styled appropriately.
This keeps the chart clean while highlighting the most actionable zones near current price.
6. Visual Elements
- Demand Zones: Green fill, labeled "OB Demand"
- Supply Zones: Red fill, labeled "OB Supply"
- Tiny text size to minimize chart clutter
- Zones drawn as boxes using bar_index positioning
How to Use
Order Blocks represent areas of price inefficiency where smart money likely entered/exited positions aggressively.
- Demand Zones (Green): Potential long entry areas when price returns. Expect buying pressure to defend these levels. Best setups when price retests an active (non-mitigated) zone.
- Supply Zones (Red): Potential short entry areas when price returns. Expect selling pressure to emerge.
- Mitigated Zones: Lower probability – may act as weaker support/resistance.
- Smart Visibility: Highly recommended for cleaner charts. Focuses attention on zones most likely to be tested soon.
- Combine with:
- Break of Structure (BOS)/Change of Character (CHOCH)
- Liquidity grabs
- Higher timeframe confluence
- Volume or momentum confirmation
Use higher FVG threshold (e.g., 0.8–1.0) for fewer, higher-quality zones. Lower threshold for more aggressive detection.
Disclaimer
This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Witch-Fire ALMA signals: Dynamic Liquidity & Trend GlowThe Witch-Fire ALMA is a high-precision trend bias and liquidity mapping tool designed for price action traders and Smart Money practitioners. Unlike traditional indicators that clutter your chart with lagging signals, this script provides a "clean-yet-powerful" visual anchor to help you stay on the right side of the market while identifying key Points of Interest (POIs).
At its core, the script utilizes an optimized Arnaud Legoux Moving Average (ALMA). Known for its superior ability to balance smoothness and responsiveness, the ALMA effectively filters out market noise and "whipsaws" that often plague standard EMAs.
Key Features:
The Witch-Fire Glow: A neon-styled ALMA line that shifts between Bullish Green and Bearish Red. The white core provides surgical precision for price intersection, while the outer glow visualizes the strength and dominance of the current trend.
Scaled Liquidity Levels: Automatically maps Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL). These levels are dynamic—they scale proportionally with your ALMA settings. This ensures that the liquidity zones you see are always relevant to the trend cycle you are analyzing.
Strategic Bias Background: A subtle background tint provides an instant psychological filter. Only look for Longs in the green zone and Shorts in the red zone to maintain a high-probability strike rate.
How to Trade with Witch-Fire:
Identify the Bias: Look at the Fire ALMA. If the "fire" is red and the price is below the line, your bias is strictly bearish.
Watch the Sweeps: Wait for the price to "sweep" (pierce with a wick) the horizontal SSL (Green) or BSL (Red) lines.
Execution: Look for a strong rejection candle (long wick, small body) at these levels that closes back towards the ALMA line.
Best Used On: 15m, 1H, and 4H timeframes. Works exceptionally well for Crypto, Forex, and Indices.
[ASFX] Free Automatic VWAPsAutomatic VWAP & Key Levels
Overview
This indicator is designed to help traders evaluate VWAP interactions in context, rather than treating every VWAP touch as a trade opportunity. It combines VWAP with a momentum-based directional filter to highlight situations where price interaction with VWAP is supported by broader intraday momentum. This indicator also shows you the initial balance and opening range each day.
Concept and Originality
VWAP is commonly used as an institutional reference level, but VWAP alone does not distinguish between meaningful acceptance/rejection and random intraday chop. This script addresses that limitation by conditioning VWAP interactions with a momentum filter. Signals are only displayed when price location and momentum alignment occur together, allowing traders to focus on higher-quality VWAP reactions instead of monitoring multiple indicators separately.
How It Works
• VWAP is used as the primary price reference level.
• A momentum filter evaluates directional bias and participation.
• Visual signals appear only when price is interacting with VWAP and momentum confirms acceptance or rejection in the same direction.
• No signals are shown during low-momentum or sideways conditions around VWAP.
How to Use
This indicator is best used as a confirmation tool, not as a standalone trading system. It is intended to assist traders in filtering VWAP-based trade ideas by highlighting when conditions are aligned versus when price is simply chopping around VWAP.
Markets and Timeframes
• Designed for index futures such as ES and NQ
• Optimized for intraday trading
• Works best on lower timeframes (1–5 minute charts)
Limitations
• Not predictive
• Not a complete trading strategy
• Does not replace price action analysis, trade management, or risk control
• Signals should be evaluated alongside market structure and context
ICT Liquidity Sweep/Swing Fail Pattern V.1# ICT Liquidity Sweep/Swing Fail Pattern V.1
## Indicator Description & User Guide
---
## 📊 Indicator Overview
**Name:** ICT Liquidity Sweep/Swing Fail Pattern V.1
**Type:** Support/Resistance & Liquidity Detection
**Trading Style:** ICT Concepts (Inner Circle Trader)
**Best Timeframes:** 1M, 5M, 15M, 1H
---
## 🎯 Core Features
### 1. **Support & Resistance Lines**
- Automatically draws key swing high and swing low levels
- Based on significant pivot points in price structure
- Updates dynamically as new swings form
### 2. **"X" Mark - Liquidity Sweep**
- **Symbol:** X marker on chart
- **Meaning:** Indicates a liquidity sweep (stop hunt)
- **What it shows:** Price briefly moved beyond a key level to trigger stops, then reversed
- **Trading significance:** High-probability reversal zones after liquidity is taken
### 3. **"SFP" Label - Swing Failure Pattern**
- **Symbol:** SFP text label
- **Meaning:** Swing Failure Pattern detected
- **What it shows:** Price attempted to make a new high/low but failed and reversed sharply
- **Trading significance:** Strong reversal signal - smart money rejecting the level
---
## 📈 How to Use This Indicator
### Entry Setup Strategy:
#### **For SHORT Trades (Sell):**
1. Wait for **SFP** to appear at a swing high
2. Look for **X marker** confirming liquidity sweep above the high
3. **Entry Zone (Red Box):** Enter SHORT positions when price returns to this zone
4. **Stop Loss:** Place above the red zone (above the swept high)
5. **Take Profit (Green Box):** Target the green zone below
#### **For LONG Trades (Buy):**
1. Wait for **SFP** to appear at a swing low
2. Look for **X marker** confirming liquidity sweep below the low
3. **Entry Zone (Green Box):** Enter LONG positions when price returns to this zone
4. **Stop Loss:** Place below the green zone (below the swept low)
5. **Take Profit (Red Box):** Target the red zone above
---
## 🎨 Color Coding System
| Color | Zone Type | Usage |
|-------|-----------|-------|
| 🔴 **Red Box** | Stop Loss / Supply Zone | Place SL here for LONG trades / Entry zone for SHORT trades |
| 🟢 **Green Box** | Take Profit / Demand Zone | Target zone for LONG trades / Place SL here for SHORT trades |
| ❌ **X Mark** | Liquidity Sweep Point | Stop hunt occurred - reversal likely |
| 📝 **SFP Label** | Swing Failure Pattern | Failed breakout - strong reversal signal |
---
## 💡 Trading Examples
### Example 1: SHORT Trade (As shown in your chart)
```
1. SFP appears at swing high (Red zone around 4,000)
2. X marker confirms liquidity sweep above the high
3. Entry: SHORT when price re-enters red zone
4. Stop Loss: Above red zone (e.g., 4,002)
5. Take Profit: Green zone below (3,964-3,972)
6. Risk:Reward = 1:3+
```
### Example 2: LONG Trade
```
1. SFP appears at swing low (Green zone)
2. X marker confirms liquidity sweep below the low
3. Entry: LONG when price re-enters green zone
4. Stop Loss: Below green zone
5. Take Profit: Previous red zone above
6. Risk:Reward = 1:2 minimum
```
---
## ⚠️ Important Trading Rules
### ✅ DO:
- Wait for BOTH SFP and X marker confirmation
- Enter on price returning to the zone (not on first touch)
- Use proper position sizing (1-2% risk per trade)
- Combine with market structure analysis
- Look for confluences (orderblocks, fair value gaps)
### ❌ DON'T:
- Trade against the higher timeframe trend
- Enter without confirmation signals
- Ignore the colored zones for SL/TP placement
- Overtrade - wait for quality setups
- Move stop loss to breakeven too early
---
## 🔧 Indicator Settings (Typical)
**Adjustable Parameters:**
- Swing Length: Number of bars to identify swing points
- Show/Hide X markers
- Show/Hide SFP labels
- Zone opacity and colors
- Line thickness
---
## 📚 ICT Concepts Explained
### **Liquidity Sweep:**
Smart money intentionally pushes price beyond key levels to trigger retail stop losses, then reverses to their intended direction. The X marker identifies these moments.
### **Swing Failure Pattern (SFP):**
Price attempts to make a new high/low but lacks follow-through, indicating weak momentum and likely reversal. Similar to a "false breakout" but more specific to swing structures.
### **Supply & Demand Zones:**
- **Red zones** = Areas where selling pressure overwhelmed buyers
- **Green zones** = Areas where buying pressure overwhelmed sellers
- These zones act as magnets for price to return and react
---
## 🎓 Best Practices
1. **Confluence is Key:**
- Combine with daily/weekly bias
- Check for orderblocks nearby
- Look for imbalances (FVG)
2. **Session Timing:**
- Best during London/New York sessions
- Avoid low liquidity periods
3. **Risk Management:**
- Never risk more than 1-2% per trade
- Use proper lot sizing
- Take partial profits at key levels
4. **Timeframe Correlation:**
- Check higher timeframe for bias
- Enter on lower timeframe for precision
- Exit based on higher timeframe targets
---
## 📞 Support & Updates
**Version:** 1.0
**Compatibility:** TradingView Pine Script v5
**Updates:** Regular improvements based on ICT methodology
---
## ⚡ Quick Reference Card
| Signal | Action | SL Placement | TP Target |
|--------|--------|--------------|-----------|
| SFP + X at High | SHORT at Red Zone | Above Red | Green Zone |
| SFP + X at Low | LONG at Green Zone | Below Green | Red Zone |
**Remember:** The indicator shows you WHERE to trade, but YOU decide WHEN based on confirmation and market context.
---
*Disclaimer: This indicator is a tool for technical analysis. Always use proper risk management and never trade with money you cannot afford to lose.*
Pre-Market + Daily + Weekly REGULAR HOURS 📦 Pre-Market + Daily + Weekly RTH Range Boxes
This indicator automatically plots Pre-Market, Daily, and Weekly range boxes based strictly on US Regular Trading Hours (RTH).
What it does:
Pre-Market Box (04:00–09:30)
Captures the full pre-market high and low, then projects the range forward from the RTH open.
Daily RTH Box (09:30–16:00)
Tracks the previous day’s regular session high and low and plots the range starting at 04:00 AM the next day.
Weekly RTH Box (Mon–Fri, 09:30–16:00)
Accumulates the full weekly RTH range and plots it at 04:00 AM on Monday.
SilverHawk Trend Flow Part of SilverHawk Suite
This script is designed to be used with the SilverHawk Suite workflow (context → trigger → confirmation → execution).
It works standalone, but the highest accuracy comes from using the full suite together.
Where it fits:
• Role: Context
What it does:
Colors candles based on detected trend regime, so you trade with the prevailing direction and avoid fighting structure.
How to use:
• Bullish color: prefer long triggers only
• Bearish color: prefer short triggers only
• No clear trend / transition: stand down and wait for the suite trigger + confirmation
Visual Tip: (important)
If candles look “hidden”: Settings → Visual Order → Bring To Front
Alerts:
New Up Trend / New Down Trend alerts trigger on confirmed candles (non-repainting style).
Suite note:
For full workflow and loadouts, start with: “SilverHawk Suite — Start Here (Workflow Guide)” (free)
Credits / License
Based on PhantomFlow Trend Detector (MPL-2.0). This script remains MPL-2.0.
