Pullback Master CareCA clean, reliable pullback trading indicator that identifies optimal entry points during trend corrections. It combines daily trend direction with intraday momentum, volume patterns, and RSI oversold conditions to signal high-probability buy opportunities when price pulls back in an uptrend.
Perfect for swing traders looking to enter with the trend after temporary sell-offs, with built-in confirmation filters to avoid false signals.
Multitimeframe
Pullback Finder CareCA multi-timeframe pullback detection indicator that identifies optimal entry points during trend corrections. It combines daily trend analysis with intraday momentum, volume, and RSI conditions to pinpoint high-probability reversal points when price pulls back against the primary trend direction.
Perfect for traders looking to buy dips in uptrends or sell rallies in downtrends with precise timing and trend confirmation.
Multi-Filter Slope Master CareEA professional-grade momentum indicator that combines smart EMA slope calculations with multiple confirmation filters to deliver clean, actionable trading signals. It analyzes the rate of change of key EMAs (9, 20, 50) using advanced slope calculations, filters out noise with customizable thresholds, and adds multi-timeframe trend alignment, volume confirmation, and session-based filters to ensure you only trade high-probability setups.
Perfect for scalpers and swing traders who want to catch momentum shifts while avoiding false signals during choppy markets.
Volume Delta Waterfall (Anchored, No Reset)What this helps you see (simple)
Delta (ΔV) = UpVolume − DownVolume (estimated from lower timeframe).
Positive ΔV ⇒ more “up” volume inside the bar → buying pressure dominates.
Negative ΔV ⇒ more “down” volume inside the bar → selling pressure dominates.
The waterfall is cumulative delta: each bar starts at the previous bar close and moves up/down by ΔV.
Divergence idea:
Bearish divergence: price makes Higher High, but cumulative delta at that swing makes Lower High → rally is weaker (often exhaustion / distribution).
Bullish divergence: price makes Lower Low, but cumulative delta at that swing makes Higher Low → selloff is weaker (often absorption / reversal risk).
NY 00:00 Vertical Line (Dashed)What this script does
This TradingView Pine Script v5 indicator draws a vertical dashed line on your chart every day at 00:00 (midnight) New York time.
It is mainly used by traders who want to:
Mark the New York daily open
Separate NY trading days
Study daily range, liquidity, and sessions
The indicator works best on intraday timeframes (1m, 5m, 15m, 1h, etc.).
Multi-TF EMA ScalpingA dual-purpose indicator that combines daily trend context with intraday momentum signals. It plots both daily EMAs (50-period for trend direction) and faster intraday EMAs (9 & 20-period) on your scalping chart, creating a visual overlay that helps you trade with the higher timeframe trend while using precise intraday entries.
Key Features:
Daily EMA 50 shows overall trend bias (colored background)
5/15-minute EMAs 9 & 20 provide entry/exit signals
Multi-timeframe alignment to avoid trading against the trend
Perfect for scalpers who need daily context on lower timeframes
4 EMA Flexible with CrossoversOverview
This indicator is a highly customizable multi-EMA (Exponential Moving Average) suite designed for trend followers and momentum traders. Unlike standard EMA indicators, this script provides four independent EMAs, each with its own horizontal Offset parameter, allowing traders to shift averages forward or backward to account for market lag or cycles.
It is specifically built for traders who use a "Triple EMA" or "Quad EMA" setup to filter trends across different timeframes while looking for precise entry triggers.
Key Features
4 Independent EMAs: Fully customizable length and color for each average.
Horizontal Offsets: Each EMA can be shifted horizontally (left or right) to align with specific market structures or to create "lead" indicators.
Crossover Detection: The script automatically monitors EMA 1 and EMA 2 for crossovers.
Golden Cross (Cross Up): Signals potential bullish momentum.
Death Cross (Cross Down): Signals potential bearish momentum.
Visual Labeling: Includes intuitive on-chart shapes (Triangle Up/Down) and text labels to ensure you never miss a crossover event.
Alert Integration: Native support for TradingView alerts. You can set notifications for Bullish and Bearish crossovers with a single click.
How to Use
Trend Filtering: Use the 4th EMA (default 200) as your "Trend Filter." Only take Long signals when price is above this line and Short signals when below.
Signal Generation: Use the first two EMAs (default 21 and 30) to generate entry signals. When they cross in the direction of the higher-order trend, it indicates a high-probability entry point.
Offset Tuning: Use the Offset feature to shift your signal EMAs forward (positive values) if you want to avoid "whipsaws" in a sideways market.
Settings
EMA 1 & 2: Primary signal lines. Crossovers are calculated based on these two inputs.
EMA 3 & 4: Secondary trend lines for support/resistance and trend direction.
Offset: Adjusts the horizontal placement of the line (positive for right, negative for left).
ICT CISD+FVG+OBThis script is a high-performance ICT suite designed for traders who want a professional, "noise-free" chart. It identifies core institutional patterns—Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD)—across multiple timeframes.
The script features a proprietary Proximity Cleanup Engine that automatically deletes old or broken levels, keeping your workspace focused only on price action that is currently tradeable. It strictly follows directional delivery rules for CISD and includes a 50-candle "freshness" limit to ensure you never have to manually clear old data from your past bars.
Core Features
Intelligent CISD: Only triggers Bullish CISD on green candles and Bearish CISD on red candles.
Proximity Filter: Automatically wipes away any levels that are "miles away" from the current price.
Clean Workspace: Removes broken session highs/lows and mitigated zones instantly.
Full Customization: Toggle visibility and colors for every component via the settings menu.
Photon Price Action Scanner [JOAT]Photon Price Action Scanner - Multi-Pattern Recognition with Adaptive Filtering
Introduction and Purpose
Photon Price Action Scanner is an open-source overlay indicator that automates the detection of 15+ candlestick patterns while filtering them through multiple confirmation layers. The core problem this indicator solves is pattern noise: raw candlestick pattern detection produces too many signals, most of which fail because they lack context. This indicator addresses that by combining pattern recognition with trend alignment, volume-weighted strength scoring, velocity confirmation, and an adaptive neural bias filter.
The combination of these components is not arbitrary. Each filter addresses a specific weakness in standalone pattern detection:
Trend alignment ensures patterns appear in favorable market structure
Volume-weighted strength filters out weak patterns with low conviction
Velocity confirmation identifies momentum behind the pattern
Neural bias filter adapts to recent price behavior to avoid counter-trend signals
What Makes This Indicator Original
While candlestick pattern scanners exist, this indicator's originality comes from:
1. Multi-Layer Filtering System - Patterns must pass through trend, strength, velocity, and neural bias filters before generating signals. This dramatically reduces false positives compared to simple pattern detection.
2. Adaptive Neural Bias Filter - A custom momentum-adjusted EMA that learns from recent price action using a configurable learning rate. This is not a standard moving average but an adaptive filter that accelerates during trends and smooths during consolidation.
3. Pattern Strength Scoring - Each pattern receives a strength score based on volume ratio and body size, allowing traders to focus on high-conviction setups rather than every pattern occurrence.
4. Smart Cooldown System - Prevents signal overlap by enforcing minimum bar spacing between pattern labels, keeping charts clean even when "Show All Patterns" is enabled.
How the Components Work Together
Step 1: Pattern Detection
The indicator scans for 15 candlestick patterns using precise mathematical definitions:
// Example: Bullish Engulfing requires the current bullish candle to completely
// engulf the previous bearish candle with a larger body
isBullishEngulfing() =>
bool pattern = close < open and close > open and
open <= close and close >= open and
close - open > open - close
pattern
// Example: Three White Soldiers requires three consecutive bullish candles
// with each opening within the previous body and closing higher
isThreeWhiteSoldiers() =>
bool pattern = close > open and close > open and close > open and
close < close and close < close and
open > open and open < close and
open > open and open < close
pattern
Step 2: Strength Calculation
Each detected pattern receives a strength score combining volume and body size:
float volRatio = avgVolume > 0 ? volume / avgVolume : 1.0
float bodySize = math.abs(close - open) / close
float baseStrength = (volRatio + bodySize * 100) / 2
This ensures patterns with above-average volume and large bodies score higher than weak patterns on low volume.
Step 3: Trend Alignment
Patterns are checked against the trend direction using an EMA:
float trendEMA = ta.ema(close, i_trendPeriod)
int trendDir = close > trendEMA ? 1 : close < trendEMA ? -1 : 0
Bullish patterns in uptrends and bearish patterns in downtrends receive priority.
Step 4: Neural Bias Filter
The adaptive filter uses a momentum-adjusted EMA that responds to price changes:
neuralEMA(series float src, simple int period, simple float lr) =>
var float neuralValue = na
var float momentum = 0.0
if na(neuralValue)
neuralValue := src
float error = src - neuralValue
float adjustment = error * lr
momentum := momentum * 0.9 + adjustment * 0.1
neuralValue := neuralValue + adjustment + momentum
neuralValue
The learning rate (lr) controls how quickly the filter adapts. Higher values make it more responsive; lower values make it smoother.
Step 5: Velocity Confirmation
Price velocity (rate of change) must exceed the average velocity for strong signals:
float velocity = ta.roc(close, i_trendPeriod)
float avgVelocity = ta.sma(velocity, i_trendPeriod)
bool velocityBull = velocity > avgVelocity * 1.5
Step 6: Signal Classification
Signals are classified based on how many filters they pass:
Strong Pattern : Pattern + strength threshold + trend alignment + neural bias + velocity
Ultra Pattern : Strong pattern + gap in same direction + velocity confirmation
Watch Pattern : Pattern detected but not all filters passed
Detected Patterns
Classic Reversal Patterns:
Bullish/Bearish Engulfing - Complete body engulfment with larger body
Hammer - Long lower wick (2x body), small upper wick, bullish context
Shooting Star - Long upper wick (2x body), small lower wick, bearish context
Morning Star - Three-bar bullish reversal with small middle body
Evening Star - Three-bar bearish reversal with small middle body
Piercing Line - Bullish candle closing above midpoint of previous bearish candle
Dark Cloud Cover - Bearish candle closing below midpoint of previous bullish candle
Bullish/Bearish Harami - Small body contained within previous larger body
Doji - Body less than 10% of total range (indecision)
Advanced Patterns (Optional):
Three White Soldiers - Three consecutive bullish candles with rising closes
Three Black Crows - Three consecutive bearish candles with falling closes
Tweezer Top - Equal highs with reversal candle structure
Tweezer Bottom - Equal lows with reversal candle structure
Island Reversal - Gap isolation creating reversal structure
Dashboard Information
The dashboard displays real-time analysis:
Pattern - Current detected pattern name or "SCANNING..."
Bull/Bear Strength - Volume-weighted strength scores
Trend - UPTREND, DOWNTREND, or SIDEWAYS based on EMA
RSI - 14-period RSI for momentum context
Momentum - 10-period momentum reading
Volatility - ATR as percentage of price
Neural Bias - BULLISH, BEARISH, or NEUTRAL from adaptive filter
Action - ULTRA BUY/SELL, BUY/SELL, WATCH BUY/SELL, or WAIT
Visual Elements
Pattern Labels - Abbreviated codes (BE=Engulfing, H=Hammer, MS=Morning Star, etc.)
Neural Bias Line - Adaptive trend line showing filter direction
Gap Boxes - Cyan boxes highlighting price gaps
Action Zones - Dashed boxes around strong pattern areas
Velocity Markers - Small circles when velocity confirms direction
Ultra Signals - Large labels for highest conviction setups
How to Use This Indicator
For Reversal Trading:
1. Wait for a pattern to appear at a key support/resistance level
2. Check that the Action shows "BUY" or "SELL" (not just "WATCH")
3. Confirm the Neural Bias aligns with your trade direction
4. Use the strength score to gauge conviction (higher is better)
For Trend Continuation:
1. Identify the trend using the Trend row in the dashboard
2. Look for patterns that align with the trend (bullish patterns in uptrends)
3. Ultra signals indicate the strongest continuation setups
For Filtering Noise:
1. Keep "Show All Patterns" disabled to see only filtered signals
2. Increase "Pattern Strength Filter" to see fewer, higher-quality patterns
3. Enable "Velocity Confirmation" to require momentum behind patterns
Input Parameters
Scan Sensitivity (1.0) - Overall detection sensitivity multiplier
Pattern Strength Filter (3) - Minimum strength score for strong signals
Trend Period (20) - EMA period for trend determination
Show All Patterns (false) - Display all patterns regardless of filters
Advanced Patterns (true) - Enable soldiers/crows/tweezer detection
Gap Analysis (true) - Enable gap detection and boxes
Velocity Confirmation (true) - Require velocity for strong signals
Neural Bias Filter (true) - Enable adaptive trend filter
Neural Period (50) - Lookback for neural bias calculation
Neural Learning Rate (0.12) - Adaptation speed (0.01-0.5)
Timeframe Recommendations
1H-4H: Best balance of signal frequency and reliability
Daily: Fewer but more significant patterns
15m-30m: More signals, requires tighter filtering (increase strength threshold)
Limitations
Pattern detection is mechanical and does not consider fundamental context
Neural bias filter may lag during rapid trend reversals
Gap detection requires clean price data without after-hours gaps
Strength scoring favors high-volume patterns, which may miss valid low-volume setups
- Made with passion by officialjackofalltrades
Market Structure MTF [HH/HL/LH/LL + CHoCH + BOS]Automatic market structure detection with pivot classification (HH/HL/LH/LL), Change of Character (CHoCH) and Break of Structure (BOS) signals. Multi-timeframe support allows overlaying higher timeframe structure on any chart.
█ OVERVIEW
This indicator automatically detects and classifies pivot points to visualize market structure. It identifies trend direction through the sequence of highs and lows, and signals potential reversals through Change of Character (CHoCH) and trend continuation through Break of Structure (BOS).
█ CONCEPTS
Market structure analysis is based on the relationship between consecutive pivot points:
Bullish Structure:
• HH (Higher High): A swing high that exceeds the previous swing high
• HL (Higher Low): A swing low that stays above the previous swing low
• Sequence: HH → HL → HH → HL confirms uptrend
Bearish Structure:
• LH (Lower High): A swing high that fails to exceed the previous swing high
• LL (Lower Low): A swing low that breaks below the previous swing low
• Sequence: LH → LL → LH → LL confirms downtrend
Structure Shifts:
• CHoCH (Change of Character): Signals when the expected sequence breaks, suggesting potential trend reversal
• BOS (Break of Structure): Confirms trend continuation when price breaks a pivot level in trend direction
█ FEATURES
• Automatic pivot detection using configurable lookback period
• Smart classification comparing each pivot to its predecessor
• CHoCH detection when trend sequence is violated
• BOS signals with anti-repetition filter to reduce noise in consolidation zones
• Multi-Timeframe (MTF) support to display higher timeframe structure
• Horizontal dashed lines marking HTF pivot levels
• Clean visual output with color-coded labels
█ SETTINGS
Structure Settings:
• Pivot Length: Number of bars on each side required to confirm a pivot (default: 5)
- Lower values (2-3) = more sensitive, detects minor swings
- Higher values (10-20) = less sensitive, only major structure
Multi-Timeframe:
• Show HTF Structure: Enable/disable higher timeframe overlay
• HTF Timeframe: Select the higher timeframe to display (D, W, M, etc.)
Visualization:
• Show Local Structure: Toggle visibility of current timeframe pivots
Filters:
• BOS Buffer: Minimum bars between BOS signals to avoid repetition
█ HOW TO USE
The indicator offers three visualization modes:
1. LOCAL STRUCTURE ONLY (default)
├─ Show Local Structure: ✓ Enabled
├─ Show HTF Structure: ✗ Disabled
└─ Use case: Analyze structure on the current timeframe only
2. HIGHER TIMEFRAME ONLY (recommended for clarity)
├─ Show Local Structure: ✗ Disabled
├─ Show HTF Structure: ✓ Enabled
├─ HTF Timeframe: Select desired TF (D, W, M)
└─ Use case: View higher TF context on lower TF charts without clutter
3. BOTH TIMEFRAMES (advanced)
├─ Show Local Structure: ✓ Enabled
├─ Show HTF Structure: ✓ Enabled
└─ Use case: See confluence between timeframes
⚠️ WARNING: This mode can make the chart visually crowded.
Recommended only for experienced users who need both layers simultaneously.
█ RECOMMENDED SETTINGS BY TIMEFRAME
| Chart TF | Pivot Length | Suggested HTF |
|----------|--------------|---------------|
| 1H | 10-15 | 4H or D |
| 4H | 5-10 | D or W |
| 1D | 5-7 | W |
| 1W | 3-5 | M |
The goal is to make pivots on lower timeframes represent equivalent time context.
█ VISUAL REFERENCE
Local Structure Labels:
• 🟩 Green (above): HH - Higher High
• 🟥 Red (above): LH - Lower High
• 🟩 Green (below): HL - Higher Low
• 🟥 Red (below): LL - Lower Low
• 🟧 Orange: CHoCH - Change of Character
• 🟦 Blue: BOS - Break of Structure
HTF Structure Labels:
• 🩵 Teal: HH/HL - Bullish HTF structure
• 🟫 Maroon: LH/LL - Bearish HTF structure
• 🟨 Yellow: CHoCH - HTF trend shift
• 🟦 Navy: BOS - HTF structure break
• ┈┈ Dashed lines mark HTF pivot price levels
█ INTERPRETATION GUIDELINES
Reading the sequence:
• Consistent HH + HL = Bullish bias, look for long opportunities
• Consistent LH + LL = Bearish bias, look for short opportunities
• CHoCH after trending sequence = Potential reversal, exercise caution
• BOS in trend direction = Trend continuation confirmed
Combining timeframes:
• HTF structure defines the primary bias
• Local structure provides entry timing
• Confluence (both TFs aligned) = Higher probability setups
█ LIMITATIONS
• Pivots are confirmed with a delay equal to the Pivot Length parameter
• In ranging markets, multiple CHoCH signals may appear (this is correct behavior - the market IS changing direction frequently)
• CHoCH signals potential reversal, not guaranteed reversal
• Works best on liquid markets with clean price action
█ TECHNICAL NOTES
• Uses ta.pivothigh() and ta.pivotlow() for pivot detection
• request.security() fetches higher timeframe data
• Anti-repetition logic prevents BOS signal clustering in consolidation
• All crossover/crossunder calculations are performed at global scope for consistency (Pine Script v6 compliance)
█ CREDITS
Developed for swing traders and position traders who use market structure for trend analysis and trade timing.
Feedback and suggestions are welcome.
Position and Leverage Size CalculatorThis script is assist you to see approximate position and leverage size while trading in prop firms.
Stochastic RSI 1 MonthThis is the standard SRSI indicator set to 1 month so I can see have multiple timeframes on the same chart which helps with seeing momentum swings.
Institutional Alpha Vector | D_QUANTInstitutional Alpha Vector | D_QUANT
Overview
The Institutional Alpha Vector (IAV) is an enterprise-grade composite trend ecosystem designed to identify high-probability institutional order flow. Unlike standard indicators that rely on a single data point, the IAV synthesizes Price Action, Momentum Physics, Volatility Regimes, and Volume Flow into a single, unified Alpha Vector.
This tool is not merely a signal generator, it is a market regime filter. It visualizes the consensus of four distinct quantitative models through a sophisticated "Electric Conduit" rendering engine, allowing traders to visualize the strength, direction, and volatility of the current trend instantly.
The Quantitative Engine
The IAV constructs its signal by calculating a weighted consensus across four distinct modules. These modules work in synergy to filter out noise and highlight sustained institutional moves.
MODULE 1 :: PRICE_FILTER : A highly responsive Hull Moving Average that serves as the "Spine" of the trend, reducing lag while maintaining smoothness.
MODULE 2 :: VOLATILITY_REGIME : A dynamic envelope that adjusts to market noise. This creates the "Conduit" width—expanding during high-volatility expansion and contracting during consolidation.
MODULE 3 :: MOMENTUM_PHYSICS : A directional movement filter that ensures signals are only generated when trend strength exceeds a specific threshold (default: 20).
MODULE 4 :: INSTITUTIONAL_FLOW : A volume-weighted money flow engine that confirms if price movement is supported by actual volume (Smart Money participation).
The Alpha Vector
The core of this system is the Alpha Vector calculation. The indicator normalizes the outputs of all active modules into a composite score between -1.0 (Strong Bearish Consensus) and +1.0 (Strong Bullish Consensus).
Bullish Entry: When the Alpha Vector crosses above the Long Threshold (Default: 0.1).
Bearish Entry: When the Alpha Vector crosses below the Short Threshold (Default: -0.1).
Neutral/Cash: When the consensus is weak or conflicting, the ribbon turns Grey/Flat, advising the trader to remain on the sidelines.
// ==========================================
// 3. SIGNAL AGGREGATION
// ==========================================
calc_composite_matrix() =>
_hma = calc_hma_series(hma_src, hma_len)
_hma_sig_v = 0
if ta.crossover(close, _hma)
_hma_sig_v := 1
else if ta.crossunder(close, _hma)
_hma_sig_v := -1
_adx_sig_v = calc_adx_state(adx_len, adx_thresh)
_cmf_sig_v = calc_cmf_state(cmf_len)
_rma_sig_v = calc_rma_filter_state(hma_src, lookback, atr_len)
var int s_hma = 0
var int s_adx = 0
var int s_cmf = 0
var int s_rma = 0
if _hma_sig_v != 0
s_hma := _hma_sig_v
if _adx_sig_v != 0
s_adx := _adx_sig_v
if _cmf_sig_v != 0
s_cmf := _cmf_sig_v
if _rma_sig_v != 0
s_rma := _rma_sig_v
= request.security(syminfo.ticker, "D", calc_composite_matrix(), lookahead=barmerge.lookahead_on)
float alpha_score_num = 0.0
int alpha_score_den = 0
if use_hma
alpha_score_num += d_hma
alpha_score_den += 1
if use_adx
alpha_score_num += d_adx
alpha_score_den += 1
if use_cmf
alpha_score_num += d_cmf
alpha_score_den += 1
if use_rma
alpha_score_num += d_rma
alpha_score_den += 1
alpha_vector = alpha_score_den > 0 ? alpha_score_num / alpha_score_den : 0.0
Visual Intelligence: The "Electric Conduit"
The visualization logic uses a Differential Gradient Model to represent market energy:
The Spine (Core): The solid, bright center line represents the immediate trend direction.
The Conduit (Fill): The gradient fill represents the Volatility Regime.
Thick/Wide Ribbon: High Volatility (Expansion Phase).
Thin/Tight Ribbon: Low Volatility (Contraction/Squeeze Phase).
Bar Coloring: Native bar coloring is integrated to instantly align price action with the Alpha Vector, removing the need for mental processing.
Settings
The indicator is fully customizable via a "Compute-Style" configuration menu:
MODULES: Toggle specific engines (HMA, ADX, CMF, RMA) on or off to adapt the Alpha Vector to your specific asset class (Crypto, Forex, or Indices).
THRESHOLDS: Adjust sensitivity for Long/Short entries.
VISUALS: Customize the "Core" and "Edge" colors to match your charting theme.
“Alpha is not about predicting the future. It is about aligning with the mathematical consensus of the present.” — D_QUANT
Killzones [Tradeuminati]Killzones is a precise TradingView indicator designed to display the most important institutional trading windows (“Killzones”) based strictly on New York local time.
The indicator focuses on accurate session timing, automatic asset classification, and stable chart behavior without affecting price scale or candle colors.
🔹 Included Killzones (NY Local Time)
London Killzone
02:00 – 05:00
New York Killzone (AM)
Indices & Index CFDs: 09:30 – 11:00
All other assets (Forex, Crypto, Commodities such as Gold, DXY): 07:00 – 10:00
New York PM Killzone
14:00 – 15:00
🔹 Asset Logic (Fully Automatic & Locked)
- Indices and Index CFDs are detected automatically
- Forex, Crypto, Commodities (e.g. Gold/XAUUSD, DXY) always use the 07:00–10:00 New York Killzone
- Stocks (Equities) are completely excluded
→ no lines, no table, no status display
This ensures the indicator is purpose-built for intraday trading in highly liquid markets and intentionally not designed for stock charts.
🔹 Chart Visualization
- Vertical session lines are drawn statically at the start of each New York trading day
- Lines are not dependent on bar timestamps
- No distortion of the price scale
- Session lines are shown only on intraday timeframes below 4H
- Line color, width, and style are fully adjustable
🔹 Status Table (Top Right)
- Clear overview of all Killzones with start and end times
- Live status indicator (green/red) based on the real current time (timenow), not the last printed candle
- The table remains visible on all timeframes (except stocks)
🔹 Technical Highlights
- Pure New York time–based logic, independent of chart timezone
- No future-bar plotting
- Stable across different brokers and CFD feeds
- Does not interfere with other indicators or candle coloring
⚠️ Disclaimer
This indicator is intended for technical analysis only and does not constitute trading or investment advice.
BB6-MTF-OverlayBB6-MTF-Overlay (Multi-Bollinger Bands, MTF, Overlay)
BB6-MTF-Overlay is a Bollinger Bands overlay indicator that lets you display up to 6 independent BB sets on a single chart, with full MTF (higher timeframe) support.
It’s designed for fast multi-timeframe context—so you can see where price is relative to higher-timeframe BB levels (middle / ±1σ / ±2σ / ±3σ) while trading your current timeframe.
Key Features
Up to 6 Bollinger Band sets displayed simultaneously (overlay)
Per BB set: choose Local (current TF) or MTF (higher TF via security)
Per BB set: Gaps ON/OFF
ON: values may appear only at HTF update points (discontinuous)
OFF: HTF values are filled across lower TF bars (step-like)
Per BB set: Confirmed Bars Mode ON/OFF
ON: uses confirmed HTF values (minimizes repainting)
OFF: follows the in-progress HTF bar (useful for discretionary trading)
Per BB set: toggle visibility for Middle / ±σ1 / ±σ2 / ±σ3 independently
Custom sigma multipliers (e.g., 1.5σ, 0.6σ) for fine tuning
Separate switches for Calculation ON/OFF and Display ON/OFF
Turn off calculations to reduce load, or hide plots only
Typical Use Cases
Use higher timeframe (4H/D/W) BB middle and ±1σ as “structure walls” while executing on lower timeframe
Combine real-time tracking (e.g., 15m BB with Confirmed OFF) with stable HTF anchors (e.g., Daily/Weekly with Confirmed ON)
Keep ±2σ/±3σ OFF by default and enable them only when you need to check range expansion or extremes
Default Preset (Initial Settings)
BB1: 15m MTF (Confirmed Bars Mode OFF)
BB2: 4H MTF (Confirmed Bars Mode OFF)
BB3: Daily MTF (Confirmed Bars Mode ON)
BB4: Weekly MTF (Confirmed Bars Mode ON)
BB5: Monthly MTF (Confirmed Bars Mode ON)
BB6: Calculation OFF / Display OFF
For all active BB sets: σ1 ON by default, σ2 & σ3 OFF by default
Notes
With MTF + Confirmed OFF, band values will move until the higher timeframe bar closes (intended for discretionary use).
If the chart looks too busy, disable unused BB sets or turn off σ2/σ3.
📌 BB6-MTF-Overlay(ボリンジャーバンド6本・MTF対応・Overlay)
BB6-MTF-Overlay は、最大6セットのボリンジャーバンドを同時にチャート上へ重ねて表示できる、MTF(上位足参照)対応のBollinger Bandsインジケーターです。
🕒 15分/4時間/日足/週足/月足など、複数時間軸のボリンジャーを1つのチャートで確認できるため、環境認識(上位足の位置関係)+現在足の判断をスムーズに行えます。
✨ 主な特徴
📈 最大6本のボリンジャーバンドを同時表示(Overlay)
🔁 各BBごとに Local(現在足) / MTF(上位足) を選択可能
🧩 各BBごとに ギャップON/OFF(上位足更新点のみ表示/階段状に埋める表示)を切替
✅ 各BBごとに 確定足モードON/OFF
ON:上位足確定値(リペイント最小)
OFF:進行中の上位足にも追随(裁量補助向け)
🎚️ 各BBごとに ミドル/±σ1/±σ2/±σ3 を個別に表示ON/OFF
🔧 σ値は自由入力(例:1.5σ、0.6σ など微調整可)
⚙️ 計算ON/OFFと表示ON/OFFを分離
表示だけ消す/計算ごと止めて軽くする、の両方に対応
🧠 想定する使い方(例)
🧱 上位足(4H/日足/週足)のミドル・±1σを「壁」として見て、今の足(5分/15分)での反発・抜けを判断
🏃 「15分BB(確定足OFF)」でリアルタイム追随しつつ、「日足/週足(確定足ON)」で大局の位置を固定して確認
🔍 σ2・σ3は普段OFF、必要なときだけONにしてレンジ幅・伸び代を確認
🧾 デフォルト設定(初期状態)
1️⃣ BB1:15分MTF(確定足モードOFF)
2️⃣ BB2:4時間MTF(確定足モードOFF)
3️⃣ BB3:日足MTF(確定足モードON)
4️⃣ BB4:週足MTF(確定足モードON)
5️⃣ BB5:月足MTF(確定足モードON)
6️⃣ BB6:計算OFF/表示OFF
🎛️ 初期表示は全BB共通で「1σのみON(2σ・3σはOFF)」
⚠️ 注意事項
🔄 MTFで「確定足モードOFF(追随)」を使用する場合、上位足が確定するまで値が動くため、見え方が変化します(裁量補助向け)。
🧹 表示本数が増えるとチャートが混み合うため、必要なBBだけ表示ONにする運用がおすすめです。
Hidden Div ALERT ONLY v1.9 1. This script detects **price-anchored hidden divergences** for trend continuation, not reversals.
2. It uses **price pivots** as the reference and reads **RSI at the exact pivot candle**.
3. **Hidden Bearish**: lower high in price with higher high in RSI → bearish trend continuation.
4. **Hidden Bullish**: higher low in price with lower low in RSI → bullish trend continuation.
5. A **RefLock mechanism** prevents small or noisy pivots from overwriting the main swing.
6. **Min/Max gap filters** ensure only valid swing structures are evaluated.
7. Optional **EMA, RSI range, and volume filters** help align signals with market context.
8. The script is **alert-only**, non-repainting, and optimized for **mobile use**.
9. Designed for **set-and-forget trading**, alerts trigger execution without watching the chart.
Trend Table by DNDFXTrend Table is the latest version released in 2026. Initially, this feature was integrated into the CTR indicator. However, due to technical issues that caused errors in the main indicator, Trend Table was separated and developed as a standalone indicator to ensure stability and allow it to operate without interfering with the main system.
The Trend Table indicator is designed to provide a clear overview of market trend direction across multiple timeframes in a single, concise display. The timeframes included are M1, M3, M5, M10, M15, M30, H1, H4, and Daily. With this separation, users can monitor trend conditions from lower to higher timeframes more efficiently, consistently, and reliably.
Broadening Formation Structure Review ToolThis script provides an educational, checklist-based framework for studying Broadening Formations together with basic Strat-style reversal behavior and higher-timeframe direction. It is designed to show multiple structural conditions in one place so users can observe how they interact. It does not execute trades, generate signals, or provide financial advice.
What makes this script original is the integration of four components into a single logical framework:
• dynamic tracking of Broadening Formation high/low levels
• proximity evaluation relative to those levels
• classification of simple bar reversal behavior
• higher-timeframe open–close continuity checks
Instead of using these concepts as separate tools, the script combines them into a single checklist so users can see when multiple conditions occur at the same time.
Broadening Formation levels may be user-defined or automatically derived using:
• unlimited dynamic expansion
• range-limited dynamic expansion
• swing-pivot detection
• manual input mode
Users may also optionally lock levels once a structure is identified.
Proximity to BF levels can be measured in several ways, including percentage, ticks, points, dollars, ATR multiples, or expected-move multiples. The script can also detect when price takes out BF highs or lows.
The script classifies basic Strat-style price behavior, including:
• two-up / two-down moves
• outside bars
• failed 2U/2D reversals
• 2D→2U and 2U→2D reversals
A selectable higher timeframe (such as 60, 240, D, W, or M) is used to evaluate direction by comparing the higher-timeframe open and close.
The on-chart table summarizes:
• current BF High and BF Low levels
• proximity status relative to those levels
• whether BF highs or lows have been taken out
• reversal classification results
• higher-timeframe direction
• theoretical risk distance and 2R/3R projections
Optional alerts can notify when three-condition or four-condition checklist alignment occurs, based only on the logical rules visible in the script. Optional chart lines for BF levels may also be displayed.
Transparency and behavior notes
• swing pivots repaint until confirmed
• higher-timeframe direction is only final at bar close
• dynamically derived BF levels may update as price forms new extremes
This script is intended purely for market-structure study and education. It does not guarantee performance, predict outcomes, or recommend trades.
MA-MTF-12 Overlay📊 MA-MTF-12 Overlay — Indicator Description
■ Overview
MA-MTF-12 Overlay is a multi-timeframe moving average indicator that allows you to display up to 12 moving averages (SMA / EMA) simultaneously, calculated either from the current timeframe (Local) or from higher timeframes (MTF).
It is designed to help traders visualize short-term price action and higher-timeframe market structure on a single chart, enabling clearer trend context and better decision-making.
■ Key Features
✅ Up to 12 Moving Averages
Display MA1–MA12 independently
Choose SMA or EMA for each MA
Fully customizable length, color, and line width
✅ Per-MA Local / MTF Selection
Each moving average can be set individually to:
Local – calculated on the current chart timeframe
MTF – retrieved from a higher timeframe (e.g. 1H, 4H, Daily, Weekly, Monthly)
This allows you to clearly separate entry signals from higher-timeframe trend context.
✅ Confirmed Bar Mode (Repaint Control)
When using MTF, each MA supports Confirmed Bar Mode:
ON – updates only after the higher-timeframe bar is closed (minimal repaint, backtest-friendly)
OFF – follows the current higher-timeframe bar in real time (discretionary trading)
✅ Gap Handling Option
Gaps OFF – higher-timeframe values are filled smoothly (step-style, easier to read)
Gaps ON – values appear only when a higher-timeframe bar updates (theoretical accuracy)
✅ Lightweight & Efficient Design
Each MA includes separate:
Calculation ON / OFF
Display ON / OFF
Unused MAs can be completely disabled, preventing unnecessary calculations and keeping the indicator fast even with multiple MTF sources.
■ Example Use Case
MA1–MA3: Local timeframe MAs for short-term momentum
MA4–MA6: Higher-timeframe MAs (4H / Daily / Weekly) for trend structure
MA7–MA12: Optional layers, disabled by default
This setup makes it easy to understand where price is trading within the broader market context.
■ Who This Indicator Is For
Traders who rely on multi-timeframe trend analysis
Scalpers, day traders, and swing traders who want one-chart clarity
Users concerned about repainting and indicator performance
Anyone who uses moving averages as structural reference points, not just signals
■ Technical Notes
Pine Script v5
Overlay indicator (drawn on price chart)
Multi-timeframe support via request.security()
No alerts or shapes — pure visual analysis
📊 MA-MTF-12 Overlay – インジケーター解説
■ 概要
MA-MTF-12 Overlay** は、
最大12本の移動平均(SMA / EMA)を、現在足(Local)または上位足(MTF)から自由に組み合わせて表示できる**
マルチタイムフレーム対応の高機能MAインジケーターです。
短期足の値動きから、1時間・4時間・日足・週足・月足といった
上位足のトレンド環境を、1つのチャート上で同時に把握**することを目的に設計されています。
---
■ 主な特徴
✅ 最大12本のMAを同時表示
* MA1〜MA12を個別に設定可能
* SMA / EMA をMAごとに選択
* 期間・色・太さもすべて自由にカスタマイズ
---
✅ Local / MTF をMAごとに切替可能
各MAは以下を個別に選択できます。
Local:現在のチャート時間足で計算
MTF:指定した上位足(例:1H / 4H / D / W / M)から取得
👉
短期MAはLocal、
環境認識用MAはMTF、
という役割分担を1つのインジケーターで実現できます。
---
✅ 確定足モード(リペイント制御)
MTF使用時は、確定足モードをMAごとに設定可能。
ON:上位足が確定してから更新(リペイント最小・検証向き)
OFF:上位足の進行中の値もリアルタイムで反映(裁量トレード向き)
用途に応じて柔軟に使い分けられます。
---
✅ ギャップ表示 ON / OFF
OFF:上位足MAを階段状に補完表示(視認性重視)
ON:上位足更新点のみ表示(理論重視)
---
✅ 計算ON / 表示ON を分離した軽量設計
各MAには
計算ON / OFF
表示ON / OFF**
を個別に用意。
使わないMAは計算そのものを停止できるため、
MTFを多用しても**動作が重くなりにくい設計です。
---
■ 想定される使い方
* MA1〜MA3:Local(短期〜中期の勢い把握)
* MA4〜MA6:MTF(4H・日足・週足のトレンド環境)
* MA7〜MA12:必要に応じて追加(初期はOFF)
👉
「今どの時間軸のトレンドの中にいるのか」を
MAだけで直感的に把握できます。
---
■ こんな方におすすめ
* 上位足MAを使った環境認識を重視するトレーダー
* スキャル・デイトレ・スイングを1チャートで完結させたい方
* MTFインジケーターのリペイントや重さが気になる方
* MAを「本数・役割・時間軸」で整理して使いたい方
---
■ 技術仕様
* Pine Script v5
* overlay=true(価格チャート上に表示)
* MTF対応(request.security 使用)
* アラート・シェイプなし(純粋な分析用)
---
Q# ML Logistic Regression Indicator [Lite]
Q TechLabs MLLR Lite — Machine Learning Logistic Regression Trading Indicator
© Q# Tech Labs 2025 Developed by Team Q TechLabs
Overview
Q# MLLR Lite is an open-source, lightweight TradingView indicator implementing a logistic regression model to generate buy/sell signals based on engineered price features. This “lite” version is designed for broad community access and serves as a foundation for the upcoming Pro version with advanced features and integration.
Features
Logistic Regression-based buy/sell signal generation
Customizable price source input (Open, High, Low, Close, HL2, HLC3, OHLC4)
Adjustable signal threshold and smoothing parameters
Signal confidence plotted in a separate pane
Alert conditions for buy and sell signals
Fully documented, clean Pine Script (v6) code for easy customization
Installation
Open TradingView and navigate to the Pine Script editor
Create a new script and paste the full content of the Q# MLLR Lite Pine Script
Save and add to chart
Configure inputs as needed for your trading style
Licensing
Q# MLLR Lite is provided under the MIT License, promoting open use, modification, and community collaboration with attributi
Q# MLLR Lite — Machine Learning Logistic Regression Trading Indicator
© Q# Tech Labs 2025 — Developed by Team Q#
Overview
Q# MLLR Lite is an open-source, lightweight TradingView indicator implementing a logistic regression model to generate buy/sell signals based on engineered price features. This “lite” version is designed for broad community access and serves as a foundation for the upcoming Pro version with advanced features and integration.
Features
Logistic Regression-based buy/sell signal generation
Customizable price source input (Open, High, Low, Close, HL2, HLC3, OHLC4)
Adjustable signal threshold and smoothing parameters
Signal confidence plotted in a separate pane
Alert conditions for buy and sell signals
Fully documented, clean Pine Script (v6) code for easy customization
Installation
Open TradingView and navigate to the Pine Script editor
Create a new script and paste the full content of the Q# MLLR Lite Pine Script
Save and add to chart
Configure inputs as needed for your trading style
Licensing
Q# MLLR Lite is provided under the MIT License, promoting open use, modification, and community collaboration with attribution.
Copyright (c) 2025 Q# Tech Labs
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Volume-Weighted Price Z-Score [QuantAlgo]🟢 Overview
The Volume-Weighted Price Z-Score indicator quantifies price deviations from volume-weighted equilibrium using statistical standardization. It combines volume-weighted moving average analysis with logarithmic deviation measurement and volatility normalization to identify when prices have moved to statistically extreme levels relative to their volume-weighted baseline, helping traders and investors spot potential mean reversion opportunities across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its volume-weighted statistical approach, where price displacement is measured through normalized deviations from volume-weighted price levels:
volumeWeightedAverage = ta.vwma(priceSource, lookbackPeriod)
logDeviation = math.log(priceSource / volumeWeightedAverage)
volatilityMeasure = ta.stdev(logDeviation, lookbackPeriod)
The script uses logarithmic transformation to capture proportional price changes rather than absolute differences, ensuring equal treatment of percentage moves regardless of price level:
rawZScore = logDeviation / volatilityMeasure
zScore = ta.ema(rawZScore, smoothingPeriod)
First, it establishes the volume-weighted baseline which gives greater weight to price levels where significant trading occurred, creating a more representative equilibrium point than simple moving averages.
Then, the logarithmic deviation measurement converts the price-to-average ratio into a normalized scale:
logDeviation = math.log(priceSource / volumeWeightedAverage)
Next, statistical normalization is achieved by dividing the deviation by its own historical volatility, creating a standardized z-score that measures how many standard deviations the current price sits from the volume-weighted mean.
Finally, EMA smoothing filters noise while preserving the signal's responsiveness to genuine market extremes:
rawZScore = logDeviation / volatilityMeasure
zScore = ta.ema(rawZScore, smoothingPeriod)
This creates a volume-anchored statistical oscillator that combines price-volume relationship analysis with volatility-adjusted normalization, providing traders with probabilistic insights into market extremes and mean reversion potential based on standard deviation thresholds.
🟢 Signal Interpretation
▶ Positive Values (Above Zero): Price trading above volume-weighted average indicating potential overvaluation relative to volume-weighted equilibrium = Caution on longs, potential mean reversion downward = Short/sell opportunities
▶ Negative Values (Below Zero): Price trading below volume-weighted average indicating potential undervaluation relative to volume-weighted equilibrium = Caution on shorts, potential mean reversion upward = Long/buy opportunities
▶ Zero Line Crosses: Mean reversion transitions where price crosses back through volume-weighted equilibrium, indicating shift from overvalued to undervalued (or vice versa) territory
▶ Extreme Positive Zone (Above +2.5σ default): Statistically rare overvaluation representing 98.8%+ confidence level deviation, indicating extremely stretched bullish conditions with high mean reversion probability = Strong correction warning/short signal
▶ Extreme Negative Zone (Below -2.5σ default): Statistically rare undervaluation representing 98.8%+ confidence level deviation, indicating extremely stretched bearish conditions with high mean reversion probability = Strong buying opportunity signal
▶ ±1σ Reference Levels: Moderate deviation zones (±1 standard deviation) marking common price fluctuation boundaries where approximately 68% of price action occurs under normal distribution
▶ ±2σ Reference Levels: Significant deviation zones (±2 standard deviations) marking unusual price extremes where approximately 95% of price action should be contained under normal conditions
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets accommodate different analytical approaches, instruments and timeframes. "Default" provides balanced statistical measurement suitable for swing trading and daily/4-hour analysis, offering deviation detection with moderate responsiveness to price dislocations. "Fast Response" delivers heightened sensitivity optimized for intraday trading and scalping on 15-minute to 1-hour charts, using shorter statistical windows and minimal smoothing to capture rapid mean reversion opportunities as they develop. "Smooth Trend" offers conservative extreme identification ideal for position trading on daily to weekly charts, employing extended statistical periods and heavy noise filtering to isolate only the most significant market extremes.
▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of statistical extremes and mean reversion events. Extreme Overbought triggers when z-score crosses above the extreme threshold (default +2.5σ) signaling rare overvaluation, Extreme Oversold activates when z-score crosses below the negative extreme threshold (default -2.5σ) signaling rare undervaluation. Exit Extreme Overbought and Exit Extreme Oversold alert when prices begin reverting from these statistical extremes back toward the mean. Bullish Mean Reversion notifies when z-score crosses above zero indicating shift to overvalued territory, while Bearish Mean Reversion triggers on crosses below zero indicating shift to undervalued territory. Any Extreme Level provides a combined alert for any extreme threshold breach regardless of direction. These notifications allow you to capitalize on statistically significant price dislocations without continuous chart monitoring.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying positive versus negative deviations across trading environments. The adjustable fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the z-score line and zero baseline, with higher opacity values creating subtle background context while lower values produce bold deviation emphasis. Optional bar coloring extends the z-score gradient directly to the indicator pane bars, providing immediate visual reinforcement of current deviation magnitude and direction without requiring reference to the plotted line itself.
*Note: This indicator requires volume data to function correctly, as it calculates deviations from a volume-weighted price average. Tickers with no volume data or extremely limited volume will not produce meaningful results, i.e., the indicator may display flat lines, erratic values, or fail to calculate properly. Using this indicator on assets without volume data (certain forex pairs, synthetic indices, or instruments with unreported/unavailable volume) will produce unreliable or no results at all. Additionally, ensure your chart has sufficient historical data to cover the selected lookback period, e.g., using a 100-bar lookback on a chart with only 50 bars of history will yield incomplete or inaccurate calculations. Always verify your chosen ticker has consistent, accurate volume information and adequate price history before applying this indicator.
CME Gap Tracker [captainua]CME Gap Tracker - Advanced Gap Detection & Tracking System
Overview
This indicator provides comprehensive gap detection and tracking capabilities for both consecutive bar gaps and weekly CME trading session gaps. It automatically detects gaps, tracks their fill progress in real-time, provides detailed statistics, and includes backtesting features to validate gap trading strategies. The script is optimized for CME futures trading but works with any instrument, automatically handling ticker conversion between CME futures and spot markets.
Gap Detection Types
Consecutive Bar Gaps:
Detects gaps between any two consecutive bars on the current timeframe. Two detection modes are available:
- High/Low Mode: Detects gaps when current bar's low > previous bar's high (gap up) or current bar's high < previous bar's low (gap down). This is more sensitive and detects more gaps.
- Close/Open Mode: Detects gaps when current bar's open > previous bar's close (gap up) or current bar's open < previous bar's close (gap down). This is more conservative.
Weekly CME Gaps:
Detects gaps between weekly trading sessions, specifically designed for CME futures markets. The script automatically detects the first bar of each new week and compares the current week's open with the previous week's close/high/low. This is particularly useful for tracking weekend gaps in CME futures markets where price can gap significantly between Friday close and Monday open.
Smart Ticker Detection
The script automatically converts between CME futures tickers (e.g., BTC1!, ETH1!) and spot tickers (e.g., BTCUSDT, ETHUSDT). When viewing a CME futures chart, it can automatically detect and use the corresponding spot ticker for gap analysis, and vice versa. This allows traders to:
- View CME futures but track spot market gaps
- View spot markets but track CME futures gaps
- Manually override with custom ticker specification
The ticker validation system uses caching to prevent race conditions during initial script load, ensuring reliable ticker resolution.
Gap Filtering & Tolerance
Static Tolerance:
Set minimum and maximum gap sizes as percentages (default: show only gaps > 0.333% and < 100%). This filters out noise and focuses on significant gaps.
Dynamic Tolerance:
When enabled, tolerance is calculated dynamically based on ATR (Average True Range). The formula: Dynamic Tolerance = (ATR × ATR Multiplier / Close Price) × 100%. This adapts to market volatility - in volatile markets, only larger gaps are shown; in calm markets, smaller gaps are displayed. This is particularly useful for instruments with varying volatility.
Absolute Size Filtering:
In addition to percentage filtering, gaps can be filtered by absolute price size (e.g., show only gaps > $100). This is useful for instruments where percentage alone doesn't capture significance (e.g., high-priced stocks).
Fill Confirmation System
To reduce false gap closure signals, the script requires multiple consecutive bars to confirm gap closure. The default is 2 bars, but can be adjusted from 1-10 bars. Lower values (1) confirm faster but may produce false signals from temporary wicks. Higher values (3-5) reduce false fill signals but delay confirmation. This prevents temporary price spikes from triggering false gap closure alerts.
Gap Fill Tracking
The script tracks gap fill progress in real-time:
- Fill Percentage: How much of the gap has been filled (0-100%)
- Fill Speed: Whether fill is accelerating, decelerating, or constant
- Time to Fill: For closed gaps, how many bars it took to fill
- Fill Status: Unfilled, partially filled, or fully filled
Visual Features
Heatmap Colors:
Gap colors can be adjusted based on gap size, with larger gaps appearing more intense and smaller gaps more faded.
Adaptive Line Width:
Line thickness automatically adjusts based on gap size, making larger gaps more prominent.
Age-Based Coloring:
Gaps can be color-coded by age, with newer gaps appearing brighter and older gaps more faded.
Confluence Zones:
Areas where multiple gaps overlap are highlighted with enhanced visuals, indicating stronger support/resistance zones.
Gap Statistics
A comprehensive statistics table provides:
- Total gaps created, open, and closed
- Fill rates by direction (up vs down) and size category (small, medium, large)
- Average fill time, fastest fill, slowest fill
- Oldest gap and oldest unfilled gap
- Backtesting results: success rate, reversal rate, average move after fill
- CME gap expiration statistics: Gaps expired unfilled (for Weekly CME gaps only)
Statistics can be filtered by period (All Time, Last 100/500/1000/5000 bars) and can be reset via toggle button.
Backtesting
When enabled, the script tracks price movement after gap fills:
- Price after fill: Captures price when gap closes
- Move after fill: Percentage price movement after closure
- Success/Reversal tracking: Determines if price continued in fill direction or reversed
- Success rate: Percentage of gaps where price continued in fill direction
This data helps validate gap trading strategies and understand gap fill behavior.
Gap Re-opening Detection
When enabled, the script detects when a previously filled gap reopens (price gaps back through the filled gap zone). This is useful for identifying when support/resistance levels break and can signal trend reversals.
CME-Specific Features
Monday Opening Volume Analysis:
For Weekly CME gaps detected on Monday openings, the script tracks Monday opening volume relative to average volume. Higher Monday volume ratios indicate stronger gap significance. This ratio is integrated into gap strength calculations and can be displayed in gap labels. Gaps with Monday volume > 1.5x average receive priority score boosts.
CME Gap Expiration Tracking:
Weekly CME gaps that remain unfilled beyond a configurable threshold (default 1000 bars) are automatically marked as "expired" and tracked separately in statistics. This helps identify gaps that act as strong support/resistance levels and never fill. Expired gaps are displayed with special labeling and counted in the "Gaps Expired (CME)" statistic.
CME Gap Priority Scoring Enhancement:
The priority scoring system includes special boosts for CME gaps:
- Monday gaps: +10 points (gaps detected on Monday openings)
- High Monday volume gaps: +15 points (Monday volume ratio > 1.5x average)
- Gaps at key weekly levels: +10 points (gaps aligning with previous week's high, low, or close within 0.5% tolerance)
These enhancements help prioritize the most significant CME gaps for trading decisions.
Custom Gap Zones
Traders can manually mark custom gap zones by specifying top and bottom levels. These zones are tracked like automatically detected gaps, allowing traders to:
- Mark historical gaps that weren't detected
- Create support/resistance zones based on other analysis
- Track specific price levels of interest
Multi-Timeframe Support
The script can detect gaps on higher timeframes simultaneously. For example, when viewing a 1-hour chart, it can also detect and display gaps from the weekly timeframe. This provides multi-timeframe context for gap analysis.
Alert System
Comprehensive alert system with multiple trigger types:
- Gap Creation: Alert when new gaps are detected
- Gap Closure: Alert when gaps are fully filled
- Partial Fill: Alert when gaps reach specific fill percentages (e.g., 25%, 50%, 75%, 90%)
- Approaching Closure: Alert when gaps reach high fill levels (e.g., 90%, 95%) before closing
- Gap Re-opening: Alert when previously filled gaps reopen
Alerts can be filtered to trigger only on Mondays (useful for CME weekly gaps) or any day.
Filtering Options
Gaps can be filtered by:
- Fill Status: Show all, unfilled only, partially filled only, or fully filled only
- Fill Percentage Range: Show gaps within specific fill percentage ranges
- Gap Age: Show only gaps within specific age ranges (bars)
- Gap Expiration: Automatically remove gaps older than specified number of bars (for Weekly CME gaps, uses separate CME expiration threshold)
Performance & Safety
The script includes several safety features:
- Safe array operations to prevent index out-of-bounds errors
- Memory leak prevention through proper visual object cleanup
- Ticker validation caching to prevent race conditions
- Week boundary detection for accurate CME gap identification
- Fill confirmation system to reduce false signals
- Monday opening volume analysis for CME gap strength assessment
- CME gap expiration tracking with configurable thresholds
- Priority scoring enhancement for Monday gaps, high Monday volume, and key weekly levels
Usage Recommendations
For CME Weekly Gaps:
1. Set "Gap Detection Type" to "Weekly CME"
2. View a CME futures chart (e.g., BTC1!) or enable auto-detect spot ticker
3. Set tolerance to filter gap size (default 0.333%)
4. Enable statistics to track fill rates
5. Configure alerts for gap creation/closure
For Consecutive Bar Gaps:
1. Set "Gap Detection Type" to "Consecutive Bars"
2. Choose "High/Low" for more gaps or "Close/Open" for fewer gaps
3. Adjust tolerance based on instrument volatility
4. Enable fill confirmation (2-3 bars) for more reliable signals
5. Use filtering to focus on specific gap types
For Gap Trading Strategies:
1. Enable backtesting to validate strategy performance
2. Review statistics to understand gap fill patterns
3. Use confluence zones to identify strong support/resistance
4. Configure alerts for gap events matching your strategy
5. Use custom zones to mark important levels
Technical Details:
• Pine Script v6 | Overlay indicator
• Safe array operations with index validation
• Memory leak prevention through proper object cleanup
• Ticker validation caching for reliable ticker resolution
• Works on all timeframes and instruments
• Comprehensive edge case handling
• Week boundary detection using ta.change(weekofyear)
• Fill confirmation system with configurable bars
For detailed documentation and usage instructions, see the script comments.






















