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.
Scalping
Apex Adaptive Trail [Neuro-Core]⚡ Apex Adaptive Trail
Apex Adaptive Trail is not just another trend-following indicator. It is a complete trading system powered by a "Neuro-Core" logic engine that evaluates trend quality in real-time, filtering out noise and adapting dynamically to market volatility.
Unlike standard Supertrends that provide static signals regardless of market conditions, Apex calculates a live Confidence Score (0-100%) for every trade, allowing you to distinguish between high-probability setups and weak signals.
🧬 Key Features
1. "Neuro-Core" Engine & Confidence Scoring The script constantly analyzes 4 confluence factors to assign a quality score to the trend:
EMA Baseline: Is price positioned correctly relative to the trend baseline?
ADX Momentum: Is there sufficient trend strength (>20)?
Chop Index: Is the market trending or ranging/choppy?
MTF Alignment: Does the Daily trend confirm the current direction? The result is a Confidence % displayed directly on the dashboard.
2. Two-Tier "Impact" Signals
BUY / SELL: Standard signals with Confidence > 75%. Solid for regular entries.
MAX 🔥: "Ultra Strong" signals with Confidence > 90%. These appear only when all filters are green and probability is maximized.
3. Adaptive Risk Management (Smart ATR) The market is not static. Apex reads current volatility:
High Volatility: The Trailing Stop automatically widens to prevent "whipsaws" (getting stopped out by noise).
Low Volatility: The stop tightens to protect profits faster.
4. Integrated Synthetic Heikin Ashi The script calculates Heikin Ashi smoothing internally to determine the trend. This allows you to keep your chart on Standard Candles for price action analysis, while enjoying the noise-reduction benefits of Heikin Ashi for the trend logic.
📊 The Analytics Dashboard
Located in the corner, it provides an instant X-Ray of the market:
Confidence: The quality score of the current signal (with dynamic emojis).
Active Filters: Shows how many confluence filters are currently passed (e.g., 3/4).
Market Mode: Tells you if the market is Volatile, Quiet, or Normal.
Trend Bias: The underlying trend direction.
Est. Win Rate: A real-time simulation based on historical signals (Entry vs. Trend Flip Exit).
🛠️ How to Use
Setup: Works on all timeframes, but excels on 15m, 1H, and 4H. Ideal for Crypto, Forex, and Indices.
Entry: Wait for an APEX BUY or SELL signal.
Pro Tip: Prioritize signals with the 🔥 emoji (MAX) or Confidence > 80%.
Trade Management:
Use the dotted TP1 and TP2 lines for partial profit taking.
Use the Trailing Stop line (the edge of the colored cloud) as your dynamic Stop Loss.
Visual Filter: The "Confidence Cloud" becomes more transparent when the trend is weak. If the cloud is fading out, exercise caution.
⚙️ Customizable Settings
Synthetic Heikin Ashi: Toggle the internal smoothing on/off.
Dynamic Targets: Choose if TPs should be fixed at entry or move dynamically with volatility.
Filters: You can individually enable/disable EMA, ADX, Chop, and MTF logic to suit your trading style.
⚠️ Disclaimer This tool is designed to assist in trading decisions, not to replace them. The Estimated Win Rate is based on the historical data loaded on the chart and does not guarantee future performance. Always manage your risk responsibly.
Please leave a like 👍 if you find this script useful and drop a comment with your feedback!
Quant Squeeze: Institutional GradeQuant Squeeze: Institutional Grade
This indicator is a comprehensive volatility trading system designed to identify high-probability Breakouts and Reversions using a quantitative scoring engine (0-100). It combines the classic TTM Squeeze logic with Multi-Timeframe (MTF) trend filtering, Statistical Volume analysis, and Linear Momentum.
Key Features:
Institutional Squeeze Logic: Identifies periods where Bollinger Bands (2.0) contract inside Keltner Channels (1.5). This indicates potential energy accumulation.
Quantitative Scoring (0-100): Every signal is graded based on 5 factors: Trend Alignment, Volume Strength, Momentum Delta, Squeeze Duration (Energy), and RSI Context.
MTF Trend Filter: Confirms the current chart signal with a Higher Timeframe (e.g., Daily) trend to filter out fake-outs.
Hybrid Volume Engine:
Sniper Mode (BB): Uses Bollinger Bands on the Volume oscillator to detect statistical anomalies (Best for Crypto/Forex).
Sensitive Mode (SMA): Uses a simpler threshold for low-float or lower liquidity assets.
Kill Zone Protection: Automatically disables "Reversion" signals immediately after a Squeeze fires, preventing trading against a fresh explosion.
Dashboard: A real-time table displays the current Market Phase, Momentum direction, HTF Trend status, and Risk Targets (SL/TP based on ATR).
3. Operational Guide: How to read the chart
The indicator visualizes the market in a 3-Act structure. Follow the colors to understand the market phase.
Phase 1: The Squeeze (Gray Background)
What it means: The market is compressing. Volatility is low, and energy is building up (Accumulation).
Action: WAIT. Do not enter trades here.
Context: Watch the dashboard. The "Energy" of the squeeze increases the longer this phase lasts. Longer squeezes often result in more explosive moves.
Phase 2: The Firing Zone (Purple Background)
What it means: The Squeeze has fired. The bands have expanded, and price is breaking out.
Signals: Look for "BO" (Breakout) labels.
Strategy: This is the primary entry zone for trend-following trades.
BO + High Score (80+): Institutional Grade setup. Strong trend, volume spike, and momentum.
Note: Reversion signals are strictly disabled in this zone to protect you from catching a falling knife.
Phase 3: The Trend Run (Blue Background)
What it means: Volatility has normalized. The price is trending or ranging normally.
Signals: Look for "REV" (Reversion) labels.
Strategy: These are "Pullback" or "Mean Reversion" entries. They are only valid if they align with the trend (or if scoring suggests a high-probability scalp).
Understanding the Score (0-100)
Each signal comes with a numeric score:
65-75: Standard Setup. Good momentum, but perhaps lacking Volume or HTF confirmation.
75-85: Strong Setup. Solid confluence.
85-100: "All-In" Setup. Perfect alignment of Chart Trend, Higher Timeframe Trend, Statistical Volume Spike, and Accelerating Momentum.
VectorPulse Pro v3█ VECTORPULSE PRO v3 - Institutional Trend Detection
A multi-factor confirmation system designed for SPY, QQQ, and IWM on 5m/15m timeframes.
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HOW TO USE
▲ LONG SIGNAL
• Enter when green "▲ LONG" label appears
• Place stop-loss below recent swing low
• Target: 1.5-2x risk or next resistance level
▼ SHORT SIGNAL
• Enter when red "▼ SHORT" label appears
• Place stop-loss above recent swing high
• Target: 1.5-2x risk or next support level
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SIGNAL QUALITY
Each signal shows a score (e.g., "6/7") indicating how many filters passed:
• 7/7 = Highest conviction
• 5-6/7 = Strong signal
• Below 5 = Signal filtered out
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CONFIRMATION FILTERS
✓ Momentum - Price moving in signal direction
✓ Volume - Above-average volume on breakout
✓ RSI - Not overbought/oversold
✓ VWAP - Long above, Short below
✓ EMA - 9/21 EMA trend alignment
✓ ATR - Volatility expansion
✓ Candle - Strong body confirmation
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BEST PRACTICES
1. Trade with the trend (check dashboard bias)
2. Wait for pullbacks to trend line
3. Avoid signals during first/last 30 min
4. Higher timeframe = stronger signals
5. Use dashboard to monitor filter status
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SETTINGS BY TICKER
SPY: Default settings
QQQ: Channel Width 2.5
IWM: Channel Width 3.2
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Institutional Zone Detector [Scalping-Algo]█ OVERVIEW
The Institutional Zone Detector identifies key supply and demand zones where large market participants (institutions, banks, hedge funds) have likely placed significant orders. These zones often act as powerful support and resistance levels, making them strategic areas for trade entries and exits.
This indicator is non-repainting, meaning once a signal appears on your chart, it will never disappear or change position. What you see in backtesting is exactly what you would have seen in real-time.
█ CORE CONCEPT
Markets move when large players execute substantial orders. These orders leave footprints in the form of specific candlestick patterns:
Demand Zones (Bullish)
When institutions accumulate positions, we often see a bearish candle followed by a strong bullish sequence. The last bearish candle before this move marks the demand zone - an area where buying pressure overwhelmed sellers.
Supply Zones (Bearish)
When institutions distribute positions, we typically see a bullish candle followed by a strong bearish sequence. The last bullish candle before this move marks the supply zone - an area where selling pressure overwhelmed buyers.
Price has a tendency to revisit these zones, offering potential trade opportunities.
█ HOW IT WORKS
The indicator scans for:
1. A potential zone candle (bearish for demand, bullish for supply)
2. A sequence of consecutive candles in the opposite direction
3. Optional: A minimum percentage move to filter weak signals
When all conditions are met, the zone is marked on your chart with:
• Upper and lower boundaries (solid lines)
• Equilibrium/midpoint level (cross marker)
• Extended channel lines for easy visualization
█ SETTINGS
Consecutive Candles Required (Default: 5)
Number of same-direction candles needed after the zone candle to confirm the pattern. Higher values = fewer but stronger signals.
Minimum Move Threshold % (Default: 0.0)
Minimum percentage price movement required to validate a zone. Increase this to filter out weak moves and focus on significant institutional activity.
Display Full Candle Range (Default: Off)
• Off: Shows Open-to-Low for demand zones, Open-to-High for supply zones
• On: Shows complete High-to-Low range of the zone candle
Show Demand/Supply Zone Channel (Default: On)
Toggle extended horizontal lines that project the zone levels across your chart.
Visual Theme (Default: Dark)
Choose between Dark (white/blue) or Light (green/red) color schemes.
Show Statistics Panel (Default: Off)
Displays a floating panel with exact price levels of the most recent zones.
Display Info Tooltip (Default: Off)
Shows an information label with indicator documentation.
█ HOW TO USE
Entry Strategies
1. Zone Bounce (Mean Reversion)
• Wait for price to return to a previously identified zone
• Look for rejection candles (pin bars, engulfing patterns) at zone levels
• Enter in the direction of the original zone (long at demand, short at supply)
• Place stops beyond the zone boundary
2. Zone Break (Momentum)
• When price breaks through a zone with strong momentum
• The broken zone often becomes the opposite type (broken demand becomes supply)
• Use for trend continuation trades
3. Equilibrium Trades
• The midpoint (cross marker) often acts as a magnet for price
• Can be used as a first target or as an entry point for scaled positions
Risk Management
• Always place stop-loss orders beyond zone boundaries
• Consider the zone width when calculating position size
• Wider zones = wider stops = smaller position size
• Use the equilibrium level for partial profit taking
Best Practices
• Higher timeframes produce more reliable zones
• Zones on multiple timeframes (confluence) are stronger
• Fresh/untested zones are more powerful than zones that have been touched multiple times
• Combine with other analysis methods (trend direction, volume, market structure)
█ ALERTS
Two alert conditions are available:
• "Demand Zone Identified" - Triggers when a new demand zone is detected
• "Supply Zone Identified" - Triggers when a new supply zone is detected
To set up alerts: Click on the indicator name → Add Alert → Select condition
█ IMPORTANT NOTES
• This indicator is a tool for analysis, not a complete trading system
• Signals are NOT automatic buy/sell recommendations
• Always use proper risk management
• Past performance does not guarantee future results
• Works on all markets and timeframes
• Non-repainting: Signals appear only after bar close confirmation
█ ACKNOWLEDGMENTS
Inspired by institutional order flow concepts and smart money trading methodologies. Built with a focus on reliability and practical application.
MTF MACD Dynamic█ MACD PULSE MTF
Multi-timeframe MACD with 4-color dynamic histogram.
█ FEATURES
- Multi-timeframe support
- 4-color histogram (trend strength + direction)
- Dynamic MACD/Signal line colors
- Cross markers for entry signals
█ HOW TO USE
HISTOGRAM COLORS:
🟢 Bright Green = Bullish momentum increasing
🟢 Teal = Bullish momentum decreasing
🔴 Bright Red = Bearish momentum increasing
🟠 Orange = Bearish momentum decreasing
SIGNALS:
- Buy: Histogram turns green + MACD crosses above signal
- Sell: Histogram turns red + MACD crosses below signal
- Circle markers show exact cross points
█ SETTINGS
- Fast EMA: 12 (default)
- Slow EMA: 26 (default)
- Signal SMA: 9 (default)
- Custom timeframe: Select any TF while on current chart
█ TIPS
- Use higher timeframe for trend direction
- Combine with support/resistance levels
- Fading colors = potential reversal warning
Pulse Wave Matrix [SCALPER]════════════════════════════════════════════════════════════════════════════════
PULSE WAVE MATRIX - SCALPER EDITION | QUICK GUIDE
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█ WHAT IS PWM?
PWM detects when price is "coiling" (compression) and about to explode.
• ORANGE DOTS = Spring compressing (GET READY)
• GREEN DOT = Spring released (TAKE ACTION)
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█ READING THE INDICATOR
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HISTOGRAM BARS:
• BRIGHT CYAN = Strong bullish (best for longs)
• DARK CYAN = Bullish weakening (consider exit)
• BRIGHT RED = Strong bearish (best for shorts)
• DARK RED = Bearish weakening (consider exit)
CENTER DOTS:
• ORANGE = Compression active → WAIT
• GREEN = Compression released → LOOK FOR ENTRY
• GRAY = Normal market → SCAN
SIGNALS:
• ▲ Green Triangle = HIGH-PROBABILITY LONG
• ▼ Red Triangle = HIGH-PROBABILITY SHORT
• ● Small Circle = Quick scalp (lower probability)
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█ HOW TO TRADE (3 Simple Steps)
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STEP 1: WAIT FOR SETUP
→ Orange dots appear (compression)
→ Panel shows "Pulse: READY"
STEP 2: WAIT FOR TRIGGER
→ Green dot appears (released)
→ Triangle signal appears
→ Check histogram: CYAN = Long, RED = Short
STEP 3: EXECUTE
→ Enter on triangle signal
→ Set SL: 1.5x ATR below/above entry
→ Set TP: 2x SL distance
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█ ENTRY CHECKLIST
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BEFORE ENTERING, CONFIRM:
☑ Green dot visible (pulse released)
☑ Triangle or circle signal present
☑ Histogram color matches direction
☑ Panel "Trend" aligns with trade
☑ RSI not showing OB! or OS!
DO NOT ENTER IF:
✗ Still orange dots (not released)
✗ Trend opposite to signal
✗ RSI at extreme
✗ Major news coming
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█ EXIT RULES
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EXIT IMMEDIATELY:
• Stop loss hit
• Take profit hit
• Opposite triangle appears
EXIT SOON:
• Histogram color fading (bright → dark)
• New orange dots appear
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█ RISK MANAGEMENT
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• Risk 1-2% per trade MAX
• Stop after 3 losses in a row
• Maximum 5-7 trades per day
• Primary signals (▲▼) = Full size
• Quick signals (●) = Half size
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█ RECOMMENDED SETTINGS
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FOR 5-MINUTE CHARTS:
Pulse Length: 8 | Wave Length: 5
ATR Length: 7 | Signal Smooth: 2
SL Multiplier: 1.2 | TP Ratio: 1.5
FOR 15-MINUTE CHARTS:
Pulse Length: 10 | Wave Length: 6
ATR Length: 8 | Signal Smooth: 3
SL Multiplier: 1.5 | TP Ratio: 2.0
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█ BEST TRADING TIMES
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FOREX: 8:00 - 11:00 AM EST (London-NY overlap)
CRYPTO: 9:00 - 11:00 AM EST (US morning)
STOCKS: 10:30 - 11:30 AM EST (post-open)
AVOID: Major news events, low volume periods
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█ COMMON MISTAKES
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✗ Entering during orange dots (too early)
✗ Trading against trend filter
✗ Moving stop loss further away
✗ Taking every signal without filtering
✗ Overtrading (20+ trades/day)
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█ QUICK REFERENCE
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LONG TRADE:
Orange dots → Green dot → Cyan bars rising → ▲ Triangle → BUY
SHORT TRADE:
Orange dots → Green dot → Red bars falling → ▼ Triangle → SELL
HOLD UNTIL:
Histogram fades OR TP hit OR opposite signal
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█ REMEMBER
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• Wait for GREEN DOT before looking for entries
• Only trade when TREND aligns with signal
• Always use STOP LOSS - no exceptions
• Quality over quantity - skip weak setups
60% win rate + 1:2 RR = PROFITABLE
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GOOD LUCK & HAPPY SCALPING!
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Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes.
This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility.
🛠 Methodology & Logic
The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital.
1. Market Structure Filter (200 EMA)
Indicator: Exponential Moving Average (Length 200).
Logic: The 200 EMA acts as the baseline for the long-term trend regime.
Bullish Regime: Price must close above the 200 EMA.
Bearish Regime: Price must close below the 200 EMA.
Purpose: Prevents counter-trend trading against the macro direction.
2. Signal Trigger & Trailing Stop (Supertrend)
Indicator: Supertrend (ATR Length 14, Factor 3.5).
Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility.
Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates.
3. Volatility Gatekeeper (ADX Filter)
Indicator: Average Directional Index (Length 14).
Threshold: > 25.
Logic: A high ADX value indicates a strong trend presence, regardless of direction.
Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail.
4. Momentum Confirmation (DMI)
Indicator: Directional Movement Index (DI+ and DI-).
Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa.
Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike.
📋 How to Use This Strategy
🟢 LONG (BUY) Setup
A Buy signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes ABOVE the 200 EMA (Orange Line).
Trigger: Supertrend flips to GREEN (Bullish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus).
🔴 SHORT (SELL) Setup
A Sell signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes BELOW the 200 EMA (Orange Line).
Trigger: Supertrend flips to RED (Bearish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus).
🛡 Exit Strategy
Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop.
Exit Long: When Supertrend turns Red.
Exit Short: When Supertrend turns Green.
Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio.
📊 Included Features
Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position.
Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization).
Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status.
⚠️ Risk Warning & Best Practices
Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs.
Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise.
News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System)
🎯 What This Indicator Does
This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals.
📊 Core Concept & Methodology
Volume Anomaly Detection
The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes.
Z-Score Formula:
Z = (Current Volume - Average Volume) / Standard Deviation
When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation.
Dynamic Trend Filter
A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction:
Price above lower band = Uptrend
Price below upper band = Downtrend
Signal Logic
Volume anomaly detected during an existing trend
Trend reversal confirmed within the confirmation window
Signal generated = BUY or SELL label appears
⚙️ Settings Explained
SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length
📖 How To Use
Entry Signals
BUY: Green label appears below bar - consider long positions
SELL: Red label appears above bar - consider short positions
Volume Anomaly Markers (⬥)
Small diamonds indicate detected volume spikes
These are early warnings before confirmed signals
Useful for anticipating potential reversals
Trend Bands
Colored zones show active signal direction
Stay with the trend until opposite signal appears
Best Practices
Confirm with price action - Look for support/resistance levels
Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended
Manage risk - Always use stop losses
Avoid ranging markets - Best in trending/volatile conditions
⚠️ Important Notes
No indicator is perfect - Use as part of a complete trading strategy
Volume data required - Will show warning if volume unavailable
Not financial advice - Always do your own research
🔔 Alerts Available
BUY Signal Confirmed
SELL Signal Confirmed
Volume Anomaly (Buy Setup)
Volume Anomaly (Sell Setup)
Enhanced Divergence Scanner═══════════════════════════════════════════════════════════════════
TRADINGVIEW COMPLIANT POST - FOLLOWS ALL HOUSE RULES
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📌 TITLE:
Multi-Oscillator Divergence Detector with Pivot Validation
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📝 COMPLIANT DESCRIPTION (addresses all moderator requirements):
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**Multi-Oscillator Divergence Detector with Pivot Validation**
This indicator identifies regular divergences by comparing price pivot points against oscillator pivot points across three momentum indicators simultaneously.
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**HOW THE SCRIPT WORKS (Technical Methodology):**
The script uses a multi-step validation process:
1. **Pivot Detection**: The script identifies swing highs and lows on both price and oscillators using the `ta.pivothigh()` and `ta.pivotlow()` functions with configurable left/right lookback periods.
2. **Divergence Validation**: When a new pivot is detected, the script scans historical pivots to find potential divergence pairs where:
- For Bullish: Price makes a lower low while the oscillator makes a higher low
- For Bearish: Price makes a higher high while the oscillator makes a lower high
3. **Line Integrity Check**: Before confirming a divergence, the script draws a temporary test line between the two pivot points and checks if any intermediate price/oscillator values pierce through this line. Only non-pierced divergences are displayed.
4. **Multi-Oscillator Confirmation**: The divergence is checked against RSI, CCI, and MFI independently. The label shows how many oscillators confirmed the same divergence (1, 2, or 3).
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**WHY COMBINE THESE THREE OSCILLATORS:**
Each oscillator measures momentum differently, providing complementary confirmation:
- **RSI (Relative Strength Index)**: Measures the speed and magnitude of recent price changes. Calculated as: RSI = 100 - (100 / (1 + RS)), where RS = Average Gain / Average Loss over the period.
- **CCI (Commodity Channel Index)**: Measures price deviation from the statistical mean. Calculated as: CCI = (Typical Price - SMA) / (0.015 × Mean Deviation). Effective for identifying cyclical turning points.
- **MFI (Money Flow Index)**: A volume-weighted RSI that incorporates buying/selling pressure. Calculated using typical price × volume to create money flow, then applying RSI formula. Adds volume confirmation to momentum analysis.
When multiple oscillators show divergence simultaneously, it suggests stronger conviction in the potential reversal signal.
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**WHAT MAKES THIS SCRIPT UNIQUE:**
1. **Pivot-Based Validation**: Unlike simple divergence indicators that compare consecutive values, this script validates divergences between actual swing points, reducing false signals.
2. **Line Piercing Filter**: The script ensures no intermediate price action invalidates the divergence by checking if prices cross the divergence line.
3. **Triple Confirmation System**: Shows signal strength (1-3) based on how many oscillators agree on the divergence.
4. **Visual Confirmation Status**: Dotted lines indicate unconfirmed (recent) divergences; solid lines indicate confirmed divergences after the lookback period passes.
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**HOW TO USE THIS INDICATOR:**
1. **Signal Identification**:
- Green lines with up arrow (▲) = Bullish divergence (potential buy zone)
- Red lines with down arrow (▼) = Bearish divergence (potential sell zone)
2. **Signal Strength**: The number next to the arrow (1, 2, or 3) indicates how many oscillators confirmed the divergence. Higher numbers suggest stronger signals.
3. **Confirmation Status**:
- Dotted line = Divergence is still forming (may be invalidated)
- Solid line = Divergence is confirmed
4. **Best Practices**:
- Use on higher timeframes (4H, Daily) for more reliable signals
- Combine with support/resistance levels for entry timing
- Wait for price action confirmation before entering trades
- Signals with 2-3 oscillator confirmations are generally more reliable
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**SETTINGS EXPLAINED:**
| Setting | Default | Purpose |
|---------|---------|---------|
| Pivot Lookback Left | 3 | Bars to the left required to confirm a pivot |
| Pivot Lookback Right | 1 | Bars to the right required to confirm a pivot |
| Max Historical Bars | 750 | How far back to search for divergence pairs |
| RSI/CCI/MFI Length | 14 | Period for each oscillator calculation |
| Line Width | 2 | Visual thickness of divergence lines |
| Show Labels | On | Toggle signal labels on/off |
**Adjusting for Trading Style:**
- Shorter pivot lookback = More signals, faster detection, more noise
- Longer pivot lookback = Fewer signals, slower detection, higher quality
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**LIMITATIONS AND RISK DISCLAIMER:**
- Divergences are NOT direct buy/sell signals - they indicate potential reversals
- In strong trends, divergences may fail multiple times before working
- Past divergence patterns do not guarantee future price movement
- Always use proper position sizing and stop-loss orders
- This indicator should be used as part of a complete trading strategy
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**OPEN SOURCE:**
This script is published open-source. You can view the complete code logic and modify it for your own use according to TradingView's guidelines.
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🏷️ TAGS (safe tags without trademark issues):
divergence, oscillator, pivot, momentum, reversal, swing-trading, technical-analysis, multi-timeframe, price-action, trend-reversal
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✅ COMPLIANCE CHECKLIST (based on moderator feedback):
Originality & Usefulness:
- Explained WHY these oscillators work together
- Described the unique pivot validation method
- Not just a simple mashup
Description Quality:
- Detailed explanation of underlying logic
- Step-by-step methodology explained
- How to use the indicator
- Settings explained with purpose
Vendor Requirements:
- Publishing as OPEN SOURCE (not invite-only)
- No trademark symbols (™, ®) used
- Clear value proposition explained
No House Rule Violations:
- Original description text
- Educational content included
- Proper risk disclaimer
- No misleading claims
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LTF Distribution Analyzer█ OVERVIEW
LTF Distribution Analyzer reveals the hidden price distribution and order flow within each candle by sampling lower timeframe data. It visualizes where prices concentrated, how volume was distributed between buyers and sellers, and identifies divergences between price action and actual market participation.
Unlike traditional candlesticks showing only OHLC, this indicator exposes the statistical structure of price movement using quartile-based visualization combined with delta analysis.
█ CONCEPTS
The indicator is built on two core concepts:
1 — Statistical Price Distribution
Each candle contains many lower timeframe bars. By analyzing these bars, we calculate:
• Q1 (25th percentile) - 25% of prices traded below this level
• Q3 (75th percentile) - 75% of prices traded below this level
• Median - The middle price value
• IQR (Interquartile Range) - The Q3-Q1 spread containing 50% of all prices
2 — Volume Delta Analysis
Delta measures buying vs selling pressure:
• Delta = Buy Volume − Sell Volume
• Positive delta = More aggressive buying
• Negative delta = More aggressive selling
• Delta Ratio normalizes this as a percentage
█ HOW IT WORKS
The indicator fetches lower timeframe data using request.security_lower_tf() and processes it to create a statistical summary:
Step 1: Timeframe Calculation
• Auto mode: Chart timeframe ÷ Auto Divisor = LTF
• Example: 1H chart ÷ 1000 = ~3.6 second sampling
• Manual mode: User-specified timeframe
Step 2: Data Collection
• Collects all close prices from LTF bars within current candle
• Aggregates volume by candle direction (bullish/bearish)
Step 3: Statistical Analysis
• Calculates quartiles (Q1, Q3), median, and boundaries
• Identifies outliers using 1.5× and 3× IQR fences
• Finds Volume POC (price with highest volume)
Step 4: Delta Calculation
• Sums buy volume (from bullish LTF bars)
• Sums sell volume (from bearish LTF bars)
• Computes delta ratio for color determination
█ VISUAL ELEMENTS
┌─────────────────────────────────────────┐
│ ▲ Extreme outlier (3× IQR) │
│ △ Mild outlier (1.5× IQR) │
│ ─ Upper whisker cap │
│ ┊ Whisker line (dashed) │
│ ▄ IQR Box (Q1 to Q3 range) │
│ ━ Volume POC (highest volume) │
│ ● Median (green=bull, red=bear) │
│ ┊ Whisker line (dashed) │
│ ─ Lower whisker cap │
│ ▽ Mild outlier │
│ ▼ Extreme outlier │
└─────────────────────────────────────────┘
█ COLOR SYSTEM
Colors indicate the relationship between candle direction and order flow:
🟢 TEAL (Positive Flow)
Bullish candle + Positive delta
→ Strong buying confirmation
→ Trend continuation signal
🔴 RED (Negative Flow)
Bearish candle + Negative delta
→ Strong selling confirmation
→ Trend continuation signal
🟠 ORANGE (Mixed Signal A)
Bullish candle + Negative delta
→ Price up but sellers dominated
→ Potential weakness/reversal warning
🔵 BLUE (Mixed Signal B)
Bearish candle + Positive delta
→ Price down but buyers dominated
→ Potential accumulation/reversal signal
█ SETTINGS
Timeframe Settings
• LTF Mode — Auto or Manual selection
• Manual Timeframe — Specific LTF when in Manual mode
• Auto Divisor — Higher = finer granularity (default: 1000)
• Allow Sub-Minute — Requires Premium subscription
Visual Style
• Positive/Negative Flow colors — Customize the 4 flow colors
• Box Transparency — Opacity of the quartile box (0-100%)
Statistics Display
• Show Statistics Panel — Toggle on-chart stats table
• Show Timeframe Badge — Toggle LTF indicator badge
• Panel Position — Choose corner placement
• Panel Size — Text size selection
█ HOW TO USE
1. Divergence Detection
Look for color mismatches:
• Orange bars in uptrend = weakness, potential reversal
• Blue bars in downtrend = strength, potential reversal
• Multiple consecutive divergent bars strengthen signal
• Wait for confirmation before entry
2. Volume POC Trading
• POC marks where most volume traded
• POC clusters at similar levels = strong S/R zone
• Price often returns to POC before continuing
• Use POC for entry/exit targeting
3. Trend Confirmation
• Consecutive teal = strong uptrend
• Consecutive red = strong downtrend
• Median position shows intrabar momentum
• Wide boxes indicate high volatility
4. Outlier Analysis
• Extreme markers (▲▼) often mark stop hunts
• Consider fading extremes at key levels
• Mild markers (△▽) = areas to watch
█ RECOMMENDED SETTINGS
For different chart timeframes:
│ Chart TF │ Auto Divisor │ Resulting LTF │
├──────────┼──────────────┼───────────────┤
│ 15M │ 1500 │ ~1M │
│ 1H │ 1000 │ ~3-4s │
│ 4H │ 600 │ ~24s │
│ Daily │ 500 │ ~2-3M │
Tip: Check the TF badge to confirm active sampling timeframe.
█ BEST PRACTICES
Do:
✓ Use "Bars" chart style for cleanest display
✓ Combine with support/resistance analysis
✓ Wait for confirmation bars
✓ Note POC clusters across multiple bars
✓ Adjust divisor based on your timeframe
Avoid:
✗ Trading single bar signals alone
✗ Using during low volume periods
✗ Trading immediately after news releases
✗ Ignoring overall market context
█ LIMITATIONS
• Requires adequate market liquidity for reliable signals
• Sub-minute timeframes need Premium subscription
• Historical data depth depends on TradingView's data availability
• Delta calculation assumes volume direction matches candle direction
█ NOTES
This indicator works best on liquid markets (forex majors, major indices, popular stocks/crypto) where volume data is meaningful.
The gray dotted vertical line marks where LTF data becomes available - bars before this line won't display the indicator.
For questions or suggestions, leave a comment below.
Adaptive MTF Momentum█ WHAT MAKES THIS INDICATOR DIFFERENT
This indicator solves a common problem: lower timeframe noise causing false signals. Instead of using fixed settings, it dynamically selects which higher timeframes to monitor based on your current chart.
The core methodology combines three analysis layers that must ALL agree before generating a signal:
1. Multi-timeframe trend alignment (direction filter)
2. Momentum exhaustion detection (timing filter)
3. Volume and structure confirmation (validation filter)
This triple-confirmation approach significantly reduces false signals compared to single-indicator strategies.
█ METHODOLOGY EXPLAINED
Layer 1: Adaptive Timeframe Selection
The indicator automatically builds a timeframe chain based on your chart:
| Your Chart | Monitors |
|------------|----------|
| 5 minute | 30m + 1H + 4H |
| 15 minute | 1H + 4H + Daily |
| 30 minute | 2H + 8H + Daily |
For each higher timeframe, it calculates EMA crossovers (8/21/50) to determine trend direction. The "alignment score" (0-3) shows how many timeframes agree.
Why this matters: A 5m buy signal is more reliable when 30m, 1H, AND 4H all show bullish structure.
Layer 2: Momentum Timing
Once trend direction is confirmed, the indicator waits for optimal entry timing using:
- RSI (14): Identifies oversold (<30) and overbought (>70) conditions
- Stochastic (14,3,3): Confirms momentum shift via K/D crossovers
- MACD (12,26,9): Validates momentum direction change
A "momentum score" combines these readings. Signals only fire when momentum aligns with the higher timeframe trend.
The logic: In an uptrend, we want to buy when momentum is oversold and turning up. In a downtrend, we want to sell when momentum is overbought and turning down.
Layer 3: Validation Filters
Before any signal appears, these conditions must pass:
- Volume Filter: Current volume must exceed 1.2x the 20-period average. This confirms institutional participation.
- VWAP Filter: For longs, price should be above VWAP. For shorts, below VWAP. This ensures we trade with intraday flow.
- Structure Filter: Requires a recent break of swing high (for longs) or swing low (for shorts). This confirms price is actually moving in our direction.
- ATR Filter: Volatility must be above 50% of its 50-period average. This avoids low-volatility chop.
█ SIGNAL CLASSIFICATION
The indicator categorizes signals by entry type:
REV (Reversal): Momentum reaches extreme (RSI oversold/overbought) while higher timeframes maintain trend. Best for catching pullbacks in trends.
CONT (Continuation): Price pulls back to the 21 EMA in a strong trend, then momentum turns. Best for adding to existing positions.
BRK (Breakout): Price breaks structure level with volume spike. Best for catching new moves early.
█ QUALITY SCORE CALCULATION
Each signal receives a Q1-Q5 rating based on:
- HTF alignment score (0-3 points)
- Momentum score (0-3 points)
- Volume spike present (+1 point)
Higher scores indicate more filters aligned. Q4-Q5 signals have the highest probability.
█ RISK MANAGEMENT
TP/SL levels are calculated using ATR(14):
- Stop Loss: 1.2 x ATR from entry
- TP1: 1.8 x ATR (partial exit)
- TP2: 3.0 x ATR (full exit)
This provides approximately 1.5:1 to 2.5:1 reward-to-risk ratio.
█ HOW TO USE
1. Apply to 5m, 15m, or 30m chart
2. Enable "Auto-Adapt" mode (recommended)
3. Wait for signals with Q3 or higher rating
4. Check dashboard confirms trend alignment
5. Enter with suggested TP/SL levels
Settings Guide:
- Sensitivity: "Conservative" = fewer but higher quality signals
- Sensitivity: "Aggressive" = more signals, lower threshold
- Cooldown: Increase to 10-15 if signals appear too frequently
█ DASHBOARD READINGS
- HTF: Shows active timeframe chain
- Trend: Bull/Bear + alignment score (aim for +2 or +3)
- RSI/Stoch: Current value or OS/OB status
- Vol: "SPIKE" when above threshold
- VWAP: Arrow shows price position relative to VWAP
█ LIMITATIONS
- Works best in trending markets; avoid during ranging/choppy conditions
- Designed for intraday timeframes (5m-30m); not optimized for higher timeframes
- Signals are not guarantees; always use proper risk management
- Past performance does not indicate future results
█ ALERTS AVAILABLE
- Long / Short: Any signal
- HQ Long / HQ Short: Q4+ signals only (recommended)
- Any: All signals combined
SAR Volume ScalperSAR Volume Scalper is a minimalist intraday scalping indicator designed for 1–2 minute charts, optimized for high-liquidity markets such as NASDAQ (NQ) and Gold (GC).
The indicator combines Parabolic SAR price crossings with a neutral volume participation filter (Volume ≥ EMA(Volume)), ensuring that signals appear only when the market is active, without relying on rare or aggressive volume spikes.
🔑 Core Logic
Parabolic SAR identifies precise micro-trend shifts
Trend EMA filters directional bias and reduces counter-trend trades
Neutral volume filter confirms market participation while preserving signal frequency
ATR-based targets adapt automatically to current volatility
🎯 Designed For
High-frequency scalping on 1–2 minute timeframes
Manual trade execution during active market sessions
Traders who prefer price and flow confirmation over heavy indicator stacking
⚠️ Disclaimer
This indicator is a decision-support tool and should not be used as standalone trading advice.
It is not intended for fully automated trading.
Volume-Confirmed Reversal Engine [Scalping-Algo]█ VOLUME-CONFIRMED REVERSAL ENGINE
A reversal detection system combining price action exhaustion with volume confirmation to identify high-probability turning points.
█ WHAT MAKES THIS ORIGINAL?
Unlike oscillators (RSI, Stochastic) that signal at arbitrary levels, VCRE uses a TWO-STEP CONFIRMATION process:
1. ANCHOR CANDLE: Detects when price closes beyond ALL recent candles (not just one), indicating true exhaustion
2. VOLUME VALIDATION: Requires 2x average volume to confirm institutional participation
3. BREAKOUT CONFIRMATION: Waits for price to break back through anchor range before signaling
4. QUALITY SCORING: Rates each signal 1-4 stars based on multiple confluence factors
█ HOW IT WORKS
STEP 1 - ANCHOR DETECTION
• Bullish: Close drops below the LOW of ALL previous N candles + high volume
• Bearish: Close rises above the HIGH of ALL previous N candles + high volume
• This identifies potential exhaustion points with institutional participation
STEP 2 - CONFIRMATION
• Bullish signal: Price must close ABOVE anchor candle's high
• Bearish signal: Price must close BELOW anchor candle's low
• Must occur within specified bars or setup is cancelled
STEP 3 - SCORING (1-4 Stars)
★ Confirmation occurred
★ Anchor had exceptional volume (>2x avg)
★ Confirmation candle has strong volume (>1.2x avg)
★ Aligned with macro trend (200 EMA)
█ HOW TO USE
SIGNALS
• Green "B" = BUY signal | Red "S" = SELL signal
• More stars (★) = Higher probability setup
SETUP BOXES
• Green box = Bullish setup forming, waiting for confirmation
• Red box = Bearish setup forming, waiting for confirmation
DASHBOARD
• Shows status, confirmation countdown, and volume condition
█ RECOMMENDED SETTINGS
| Style | Lookback | Confirm | Volume Multi |
|--------------|----------|---------|--------------|
| Scalping | 10-15 | 2-3 | 1.5x |
| Day Trading | 15-25 | 3-4 | 2.0x |
| Swing | 20-30 | 3-5 | 2.0-2.5x |
█ KEY PARAMETERS
• Candle Lookback: Candles to check for breakout (higher = stronger signals)
• Confirm Within: Max bars for confirmation (lower = faster signals)
• Anchor Volume Multiplier: Volume threshold for anchor candle
• Macro Trend EMA: Trend filter for scoring (default 200)
█ ALERTS
• Buy/Sell Signal - Any confirmation
• High-Quality Buy/Sell - 3+ star signals only
• Setup Detected - When anchor forms (before confirmation)
█ TIPS
• Focus on 3-4 star signals for best results
• Signals near support/resistance add confluence
• Use stop-loss beyond anchor candle extreme
• Test on demo before live trading
Works on all markets: Stocks, Forex, Crypto, Futures
Triple EMA + Key Levels [Scalping-Algo]TITLE: Triple EMA Day Trading System with Multi-Timeframe Support/Resistance Levels
DESCRIPTION:
📊 Overview
This indicator combines trend-following EMAs with key historical price levels to create a complete day trading toolkit. It helps traders identify trend direction while highlighting important support and resistance zones from multiple timeframes.
🎯 Purpose & Trading Application
Day traders often need to quickly assess:
1. Current trend direction (using EMAs)
2. Key price levels where reversals or breakouts may occur
This indicator solves both needs in one tool, reducing chart clutter from multiple indicators.
📈 How It Works
TREND IDENTIFICATION (EMAs):
- EMA 13 (Yellow): Fast EMA for short-term momentum and entry timing
- EMA 48 (Purple): Medium EMA for intraday trend direction
- EMA 200 (Red): Slow EMA for overall trend bias
Trading Logic:
- When price is above all 3 EMAs = Strong bullish bias
- When price is below all 3 EMAs = Strong bearish bias
- EMA crossovers signal potential trend changes
- The 13/48 crossover is particularly useful for intraday entries
SUPPORT & RESISTANCE LEVELS:
- Previous Day High/Low (Green, Solid): Most recent daily range - high probability reaction zones
- 2-Day High/Low (Blue, Dashed): Extended lookback for stronger levels
- Previous Week High/Low (Orange, Dotted): Major institutional levels
Why These Levels Matter:
Previous day and weekly highs/lows are watched by many traders and algorithms. Price often:
- Reverses at these levels (support/resistance)
- Accelerates through them (breakout trades)
🔧 How To Use
FOR TREND TRADING:
1. Identify bias using EMA stack (all 3 aligned = strong trend)
2. Look for pullbacks to EMA 13 or 48 for entries
3. Use key levels as profit targets
FOR REVERSAL TRADING:
1. Watch for price approaching previous day/week levels
2. Look for rejection candles at these levels
3. Use EMA 13 break as confirmation
FOR BREAKOUT TRADING:
1. Identify consolidation near key levels
2. Enter on break of level with volume
3. Use opposite level as target
⚙️ Settings
All parameters are fixed for simplicity:
- EMAs: 13, 48, 200 periods
- Levels: Previous Day, 2-Day, Previous Week
- All lines thickness: 2
📝 Notes
- Best used on intraday timeframes (1min to 1hour)
- Levels update automatically each day/week
- Labels on right side identify each level (PDH, PDL, 2DH, 2DL, PWH, PWL)
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TAGS: ema, daytrading, support, resistance, levels, intraday, trend, scalping, swingtrading
ADVANCED NIFTY OPTION BUY SELLADVANCED NIFTY OPTION BUY SELL – V1 is a non-repainting, trend-following TradingView indicator specially designed for NIFTY Index Options (CE / PE) traders.
This indicator focuses on:
Eliminating over-trading
Providing high-quality, low-frequency signals
Avoiding trades during sideways markets
It combines EMA crossover, RSI momentum, and ADX trend strength to deliver clean and reliable buy/sell signals.
Liquidity Sweep Sniper AP StyleAP Capital – Liquidity Sweep Sniper (Fab-Style)
📌 Overview
This indicator is a precision scalping tool inspired by professional liquidity-based trading concepts often demonstrated by elite intraday scalpers.
The script focuses on liquidity sweeps followed by strong displacement, aiming to capture short, high-probability momentum moves — particularly effective on lower timeframes (1–5 min) during active market sessions.
It is not a signal spam tool. Signals appear only when multiple objective conditions align.
🧠 Core Concept
Markets do not move randomly — they seek liquidity before expanding.
This indicator identifies:
Buy-side / Sell-side liquidity
Liquidity sweeps (stop-hunts)
Strong displacement candles reclaiming price
Optional higher-timeframe trend alignment
Only when all conditions are met does a signal print.
🔍 What the Indicator Detects
1️⃣ Liquidity Pools
Equal highs or equal lows detected within a configurable lookback
Minimum number of touches required
ATR-based tolerance to adapt to volatility
These levels represent areas where stop orders are likely resting.
2️⃣ Liquidity Sweep
A valid sweep requires:
Price to wick beyond the liquidity level
Candle to close back inside the range
This indicates failed breakout / stop-hunt behaviour.
3️⃣ Displacement Confirmation
After the sweep, the candle must show:
Strong body (default >60% of candle range)
Candle range large relative to ATR
Clear directional intent (momentum)
This filters out weak reactions and chop.
4️⃣ Optional Trend Filter
EMA-based higher-timeframe bias
Helps align scalps with dominant direction
Can be enabled or disabled
📈 Signals
BUY: Sell-side liquidity sweep → bullish displacement
SELL: Buy-side liquidity sweep → bearish displacement
Signals are plotted directly on the chart and can be used with alerts.
⚙️ Recommended Usage
Markets: XAUUSD, indices, liquid FX pairs
Timeframes: 1m–5m
Sessions: London & New York (best performance)
Risk Management: Always required — this tool does not place trades
Best used as a confirmation tool, not standalone.
⚠️ Important Notes
This indicator is inspired by liquidity-based scalping concepts, not an exact replication of any individual trader’s private strategy.
No indicator predicts the future — this tool highlights high-probability scenarios, not guarantees.
Past performance is not indicative of future results.
Open Interest Bubbles [BackQuant]Open Interest Bubbles
A visual OI positioning overlay that aggregates futures open interest across major venues, normalizes it into a consistent “signal strength” scale, then plots extreme events as bubbles, labels, and optional horizontal levels directly on price.
What this is for
Open interest is one of the cleanest ways to track when positioning is building, unwinding, or aggressively shifting. The problem is raw OI is noisy, exchange-specific, and hard to compare across time. This script solves that by:
- Aggregating OI across multiple exchanges.
- Letting you choose what “OI signal” you care about (raw, delta, percent versions).
- Normalizing the signal so “big events” are easy to spot.
- Plotting those events as bubbles and levels at the exact price they occurred.
You end up with a clean, fast visual map of where large positioning changes occurred, and where those events may later matter as reaction points.
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Plotting types (what you can display)
Bubbles
This mode plots OI events as size-bucketed circles on the chart. Bigger bubbles represent stronger normalized events. You can tune:
- Bubble sizing by bucket (Tiny → Huge).
- Heatmap vs solid color styling.
- Signed vs unsigned coloring (positive/negative separation or magnitude-only).
Best use:
- Spotting “where something changed” at a glance.
- Identifying clusters of positioning events around key price zones.
- Seeing whether the market is repeatedly building/closing positions at similar levels.
Levels
Levels mode draws a horizontal line at the anchor price when an extreme OI event triggers. These act like “positioning memory” levels:
- They do not claim to be support/resistance by themselves.
- They highlight prices where the derivatives market clearly did something meaningful.
Best use:
- Marking potential reaction zones.
- Combining with your price action tools (structure, OBs, FVGs) to confirm whether an OI level aligns with a technical level.
- Building a “map” of where leverage likely entered or exited.
Modes available in the script:
- Off
- Bubbles
- Bubbles + Labels
- Labels Only
- Levels + Labels
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Aggregated Open Interest source (multi-exchange)
This indicator builds a single aggregated OI series by requesting OI data from multiple exchanges and summing it. You can toggle exchanges on/off:
- Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit
You can also choose OI units:
- COIN , OI in base units (native sizing)
- USD , converted for a dollar-value representation
Important note:
Not every symbol has OI data on every venue. If the script cannot build an aggregated series for the symbol, it will throw an error rather than quietly plotting garbage.
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OI Source, what the bubbles are measuring
You control what “signal” is normalized and plotted:
- Delta , change in aggregated OI from the prior bar.
Use when you want to highlight bursts of new positioning or sudden unwind events.
- Raw OI , the aggregated open interest level itself.
Use when you want to highlight absolute positioning build-up periods.
- Delta % , percent change in OI.
Use when you want moves normalized to the current OI regime, useful across different market eras.
- Raw OI % , percent change form of the raw series.
Use when you want relative changes rather than absolute size.
Practical guidance:
- Delta modes are best for “event detection”.
- Raw modes are better for “regime context” and whether positioning is structurally rising or fading.
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Normalization (the key to making it readable)
Because OI varies massively across assets and time, the script includes multiple normalization modes to convert your chosen OI source into a comparable “strength” value.
Options:
- ZScore , deviation from a rolling mean in standard deviation units.
- StdNorm , scaled by rolling standard deviation.
- AbsZScore , absolute value version for magnitude-only mapping.
- AbsStdNorm , absolute value version for magnitude-only mapping.
- None , plots raw values (advanced users only, often too noisy visually).
Why this matters:
Normalization makes a “1.5” or “3.0” threshold mean something across different assets and timeframes, instead of being stuck to raw OI units.
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Threshold system (when bubbles/levels trigger)
The plot is driven by two user thresholds:
- Base Threshold
Controls where “meaningful” events start. Raising this reduces noise and focuses on larger deviations.
- Extreme Threshold
Controls what qualifies as a top-tier event. Extreme events are what you typically want to convert into labels and levels.
You also control side filtering:
- Both , show positive and negative events.
- Positive Only , show only increases (or positive signal side depending on source).
- Negative Only , show only decreases (or negative signal side).
In practice:
- Use Base Threshold to tune chart cleanliness.
- Use Extreme Threshold to mark only the “big stuff” that tends to matter later.
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Anchor Source (where the bubble/level is placed)
The indicator places bubbles, labels, and levels at a price anchor you choose:
- HL2, Close, Open, High, Low, VWAP
This is important because “where you pin the event” changes how it reads:
- Close is clean and consistent for backtesting and candle-close logic.
- High/Low can better represent where the fight occurred intrabar.
- VWAP can be useful for “fair price” anchoring in active markets.
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Style system (theme, palette, signed logic)
This script is built to look good and stay readable on busy charts.
Themes
- BackQuant, Classic, Ice, Fire, Mono, Custom
Palette Mode
- Solid , one consistent color
- Heatmap , intensity increases with magnitude
- Single Color Adaptive , adapts to chart background for clarity
Side Coloring
- Signed , positive and negative events can use different ramps
- Unsigned , magnitude-only coloring
Negative theme handling:
- Auto (mirrors your chosen theme),
- Invert (flips the ramp),
- Custom (fully user-defined negative palette).
What this gives you:
- You can run a clean “mono” look for professional charts.
- Or a high-contrast heatmap for fast scanning.
- Or fully custom branding colors for BackQuant-style presentation.
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Labels (what’s inside the label)
When labels are enabled, the script can display:
- OI , the aggregated OI value
- OI + Norm , OI plus normalized strength
- Norm Only , just the normalized strength
- Src + Norm , the selected source value (Delta, Raw, %) plus normalized strength
You can also control:
- Left/Center/Right label alignment
- Number formatting style (Raw, Compact, Volume format)
Best practice:
- Use “Src + Norm” when you want both the raw event size and its rarity.
- Use “Norm Only” when you want a clean, minimal chart.
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Levels and object limits (performance and cleanliness)
Because this script draws objects, it includes a hard cleanup system:
- You set Max Levels / Labels to control chart clutter.
- The script deletes older lines/labels when the limit is exceeded.
This is critical if you trade lower timeframes, where OI events can trigger frequently.
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How to interpret the signals
What a large bubble usually means:
- A statistically large positioning change relative to recent history.
- This can represent fresh leverage entering, forced liquidations, or aggressive de-risking, depending on direction and context.
How to use levels:
- Treat them as “attention levels”, not automatic entries.
- Combine them with structure and liquidity tools:
- If price revisits an OI level and shows rejection, it often confirms that level mattered.
- If price slices through with no reaction, it often indicates the OI event was transitional, not defended.
Common setups:
- Clustered extreme bubbles near a breakout zone, then retest later.
- Extreme negative event at capitulation low, followed by structure flip.
- Extreme positive build into resistance, then unwind and mean reversion.
Also, please check out @NoveltyTrade for the OI Aggregation logic & pulling the data source!
Here is the original script:
Adaptive Z-Score Oscillator [QuantAlgo]🟢 Overview
The Adaptive Z-Score Oscillator transforms price action into statistical significance measurements by calculating how many standard deviations the current price deviates from its moving average baseline, then dynamically adjusting threshold levels based on historical distribution patterns. Unlike traditional oscillators that rely on fixed overbought/oversold levels, this indicator employs percentile-based adaptive thresholds that automatically calibrate to changing market volatility regimes and statistical characteristics. By offering both adaptive and fixed threshold modes alongside multiple moving average types and customizable smoothing, the indicator provides traders and investors with a robust framework for identifying extreme price deviations, mean reversion opportunities, and underlying trend conditions through the visualization of price behavior within a statistical distribution context.
🟢 How It Works
The indicator begins by establishing a dynamic baseline using a user-selected moving average type applied to closing prices over the specified length period, then calculates the standard deviation to measure price dispersion:
basis = ma(close, length, maType)
stdev = ta.stdev(close, length)
The core Z-Score calculation quantifies how many standard deviations the current price sits above or below the moving average basis, creating a normalized oscillator that facilitates cross-asset and cross-timeframe comparisons:
zScore = stdev != 0 ? (close - basis) / stdev : 0
smoothedZ = ma(zScore, smooth, maType)
The adaptive threshold mechanism employs percentile calculations over a historical lookback period to determine statistically significant extreme zones. Rather than using fixed levels like ±2.0, the indicator identifies where a specified percentage of historical Z-Score readings have fallen, automatically adjusting to market regime changes:
upperThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, upperPercentile) : fixedUpper
lowerThreshold = adaptive ? ta.percentile_linear_interpolation(smoothedZ, percentilePeriod, lowerPercentile) : fixedLower
The visualization architecture creates a four-tier coloring system that distinguishes between extreme conditions (beyond the adaptive thresholds) and moderate conditions (between the midpoint and threshold levels), providing visual gradation of statistical significance through opacity variations and immediate recognition of distribution extremes.
🟢 How to Use This Indicator
▶ Overbought and Oversold Identification:
The indicator identifies potential overbought conditions when the smoothed Z-Score crosses above the upper threshold, indicating that price has deviated to a statistically extreme level above its mean. Conversely, oversold conditions emerge when the Z-Score crosses below the lower threshold, signaling statistically significant downward deviation. In adaptive mode (default), these thresholds automatically adjust to the asset's historical behavior, i.e., during high volatility periods, the thresholds expand to accommodate wider price swings, while during low volatility regimes, they contract to capture smaller deviations as significant. This dynamic calibration reduce false signals that plague fixed-level oscillators when market character shifts between volatile and ranging conditions.
▶ Mean Reversion Trading Applications:
The Z-Score framework excels at identifying mean reversion opportunities by highlighting when price has stretched too far from its statistical equilibrium. When the oscillator reaches extreme bearish levels (below the lower threshold with deep red coloring), it suggests price has become statistically oversold and may snap back toward the mean, presenting potential long entry opportunities for mean reversion traders. Symmetrically, extreme bullish readings (above the upper threshold with bright green coloring) indicate potential short opportunities or long exit points as price becomes statistically overbought. The moderate zones (lighter colors between midpoint and threshold) serve as early warning areas where traders can prepare for potential reversals, while exits from extreme zones (crossing back inside the thresholds) often provide confirmation that mean reversion is underway.
▶ Trend and Distribution Analysis:
Beyond discrete overbought/oversold signals, the histogram's color pattern and shape reveal the underlying trend structure and distribution characteristics. Sustained periods where the Z-Score oscillates primarily in positive territory (green bars) indicate a bullish trend where price consistently trades above its moving average baseline, even if not reaching extreme levels. Conversely, predominant negative readings (red bars) suggest bearish trend conditions. The distribution shape itself provides insight into market behavior, e.g., a narrow, centered distribution clustering near zero indicates tight ranging conditions with price respecting the mean, while a wide distribution with frequent extreme readings reveals volatile trending or choppy conditions. Asymmetric distributions skewed heavily toward one side demonstrate persistent directional bias, whereas balanced distributions suggest equilibrium between bulls and bears.
▶ Built-in Alerts:
Seven alert conditions enable automated monitoring of statistical extremes and trend transitions. Enter Overbought and Enter Oversold alerts trigger when the Z-Score crosses into extreme zones, providing early warnings of potential reversal setups. Exit Overbought and Exit Oversold alerts signal when price begins reverting from extremes, offering confirmation that mean reversion has initiated. Zero Cross Up and Zero Cross Down alerts identify transitions through the neutral line, indicating shifts between above-mean and below-mean price action that can signal trend changes. The Extreme Zone Entry alert fires on any extreme threshold penetration regardless of direction, allowing unified monitoring of both overbought and oversold opportunities.
▶ Color Customization:
Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and aesthetic preferences, ensuring optimal contrast and readability across trading platforms. The bar transparency control (0-90%) allows fine-tuning of visual prominence, with minimal transparency creating bold, attention-grabbing bars for primary analysis, while higher transparency values produce subtle background context when using the oscillator alongside other indicators. The extreme and moderate zone coloring system uses automatic opacity variation to create instant visual hierarchy, with darkest colors highlight the most statistically significant deviations demanding immediate attention, while lighter shades mark developing conditions that warrant monitoring but may not yet justify action. Optional candle coloring extends the Z-Score color scheme directly to the price candles on the main chart, enabling traders to instantly recognize statistical extremes and trend conditions without needing to reference the oscillator panel, creating a unified visual experience where both price action and statistical analysis share the same color language.
Microstructure Participation & Acceptance Indicator📊 Microstructure Participation & Acceptance Indicator
An advanced participation-based filter combining VWAP distance analysis, volume delta detection, and real-time acceptance/rejection state identification—designed for smaller timeframe trading.
📊 FEATURES
VWAP Distance Normalization
Context-aware fair value measurement:
Automatically resets based on selected anchor (Session/Week/Month)
ATR-normalized distance calculation for universal application
Identifies when price is extended or compressed relative to equilibrium
Configurable extreme distance threshold (default: 1.5 ATR)
Adjustable source input (default: HLC3)
Volume Delta Proxy
Bull vs Bear participation tracking:
Calculates volume imbalance between bullish and bearish candles
EMA smoothing for cleaner signal generation (default: 9 periods)
Delta ratio measurement to identify dominant side
Expansion/compression detection to gauge momentum commitment
Configurable expansion threshold (default: 1.3x)
Acceptance/Rejection State Machine
Real-time market regime identification with six distinct states:
🟢 Accepted Long
Price moving away from VWAP with expanding bullish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real buying pressure—trade WITH the move
🟢 Accepted Short
Price moving away from VWAP with expanding bearish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real selling pressure—trade WITH the move
🟠 Fade Long
Price extended beyond threshold (>1.5 ATR above VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion short setup
🟠 Fade Short
Price extended beyond threshold (>1.5 ATR below VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion long setup
⚪ Chop
Price compressed near VWAP
Bollinger Bands tight (width compressed)
Delta neutral—no clear commitment
NO TRADE ZONE—wait for expansion
⚪ Neutral
Transitional state between regimes
Momentum shifting but not yet confirmed
Monitor for next acceptance signal
Bollinger Bands
Standard volatility measurement with TradingView default styling:
Adjustable period length (default: 20)
Configurable standard deviation multiplier (default: 2.0)
Visual fill between bands for volatility context
Used internally for chop/compression detection
Live Dashboard
Real-time metrics display (top-right corner):
Current market state with color coding
VWAP distance in ATR units
Delta ratio (bull/bear volume balance)
Delta state (Expanding/Compressing)
High-contrast design for instant readability
🎯 HOW TO USE
For Trend Trading:
Accepted Long/Short backgrounds indicate confirmed participation—stay with the trend
Strong moves typically travel 1-1.5 ATR from VWAP with delta support
Use VWAP as dynamic support/resistance
Combine with momentum indicators (MACD, RSI) for confluence
Price above VWAP + Accepted Long state = bullish bias
Price below VWAP + Accepted Short state = bearish bias
For Mean Reversion:
Fade Long/Short states signal overextension without participation
Price beyond 1.5 ATR from VWAP with weak delta = potential reversal
Look for price return to VWAP when extended
Bollinger Band extremes + Fade state = high-probability mean reversion setup
VWAP acts as mean reversion anchor during range-bound sessions
For Risk Management:
Chop state = avoid new entries
Bollinger Band compression + Chop = pre-expansion zone (wait for breakout)
Delta compression after strong move = early exhaustion warning
State transitions (Accepted → Neutral → Fade) = tighten stops
Signal Confirmation:
Strongest setups occur when multiple factors align:
BB breakout + Accepted state + price above/below VWAP
Price rejection at BB bands + Fade state
VWAP support/resistance hold + state transition
Delta expansion + distance increasing + trend direction
⚙️ SETTINGS
All components are fully customizable through organized input groups:
VWAP Distance Group:
VWAP source (default: HLC3)
Anchor period (Session/Week/Month)
ATR length for normalization (default: 14)
Extreme distance threshold in ATR multiples (default: 1.5)
Volume Delta Group:
Delta EMA length (default: 9)
Delta expansion threshold (default: 1.3)
Acceptance Logic Group:
Acceptance lookback period (default: 5)
Chop threshold in VWAP/ATR units (default: 0.3)
Bollinger Bands Group:
BB length (default: 20)
Standard deviation multiplier (default: 2.0)
Display Group:
Toggle state backgrounds
Toggle state change labels
Toggle VWAP line
Toggle Bollinger Bands
💡 EDUCATIONAL VALUE
This indicator teaches important concepts:
How institutional money identifies fair value (VWAP)
The difference between price movement and market acceptance
Why volume participation matters more than price action alone
How to distinguish between noise and committed directional moves
The relationship between volatility compression and expansion cycles
Why distance from equilibrium predicts mean reversion probability
⚠️ IMPORTANT NOTES
This indicator is for educational and informational purposes only
This is a filter, not a standalone trading system
No indicator is perfect—always use proper risk management
Past performance does not guarantee future results
Combine with your own analysis and risk tolerance
Test thoroughly on historical data before live trading
This is not financial advice—use at your own risk
🔧 TECHNICAL DETAILS
Pine Script Version 6
Overlay indicator (displays on price chart)
All calculations use standard, well-documented formulas
No repainting—all signals are confirmed on bar close
Compatible with all timeframes and instruments
Optimized for smaller timeframes (1-5 minute charts)
Minimal computational overhead
📝 CHANGELOG
Version 1.0
Initial release
VWAP distance normalization with ATR scaling
Volume delta proxy system (bull/bear EMA)
6-state acceptance/rejection state machine
Bollinger Bands integration
Real-time dashboard with live metrics
State change labels and background coloring
Full customization options
Developed for traders who need objective participation filters to distinguish high-probability setups from low-quality noise—without cluttering their charts with multiple indicator panels.
Volume-Gated Trend Ribbon [QuantAlgo]🟢 Overview
The Volume-Gated Trend Ribbon employs a selective price-updating mechanism that filters market noise through volume validation, creating a trend-following system that responds exclusively to significant price movements. The indicator gates price updates to moving average calculations based on volume threshold crossovers, ensuring that only bars with significant participation influence the trend direction. By interpolating between fast and slow moving averages to create a multi-layered visual ribbon, the indicator provides traders and investors with an adaptive trend identification framework that distinguishes between volume-backed directional shifts and low-conviction price fluctuations across multiple timeframes and asset classes.
🟢 How It Works
The indicator first establishes a dynamic baseline by calculating the simple moving average of volume over a configurable lookback period, then applies a user-defined multiplier to determine the significance threshold:
avgVol = ta.sma(volume, volPeriod)
highVol = volume >= avgVol * volMult
The gated price mechanism employs conditional updating where the close price is only captured and stored when volume exceeds the threshold. During low-volume periods, the indicator maintains the last qualified price level rather than tracking every minor fluctuation:
var float gatedClose = close
if highVol
gatedClose := close
Dual moving averages are calculated using the gated price input, with the indicator supporting various MA types. The fast and slow periods create the outer boundaries of the trend ribbon:
fastMA = volMA(gatedClose, close, fastPeriod)
slowMA = volMA(gatedClose, close, slowPeriod)
Ribbon interpolation creates intermediate layers by blending the fast and slow moving averages using weighted combinations, establishing a gradient effect that visually represents trend strength and momentum distribution:
midFastMA = fastMA * 0.67 + slowMA * 0.33
midSlowMA = fastMA * 0.33 + slowMA * 0.67
Trend state determination compares the fast MA against the slow MA, establishing bullish regimes when the faster average trades above the slower average and bearish regimes during the inverse relationship. Signal generation triggers on state transitions, producing alerts when the directional bias shifts:
bullish = fastMA > slowMA
longSignal = trendState == 1 and trendState != 1
shortSignal = trendState == -1 and trendState != -1
The visualization architecture constructs a three-tiered opacity gradient where the ribbon's core (between mid-slow and slow MAs) displays the highest opacity, the inner layer (between mid-fast and mid-slow) shows medium opacity, and the outer layer (between fast and mid-fast) presents the lightest fill, creating depth perception that emphasizes the trend center while acknowledging edge uncertainty.
🟢 How to Use This Indicator
▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (fast MA crosses above slow MA) and short/sell signals when transitioning to bearish (fast MA crosses below slow MA). Because these crossovers only reflect volume-validated price movements, they represent significant level of participation rather than random noise, providing higher-conviction entry signals that filter out false breakouts occurring on thin volume.
▶ Ribbon Width Dynamics: The spacing between the fast and slow moving averages creates the ribbon width, which serves as a visual proxy for trend strength and volatility. Expanding ribbons indicate accelerating directional movement with increasing separation between short-term and long-term momentum, suggesting robust trend development. Conversely, contracting ribbons signal momentum deceleration, potential trend exhaustion, or impending consolidation as the fast MA converges toward the slow MA.
▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and market conditions. Default provides balanced trend identification suitable for swing trading on daily timeframes with moderate volume filtering and responsiveness. Fast Response delivers aggressive signal generation optimized for intraday scalping on 1-15 minute charts, using lower volume thresholds and shorter moving average periods to capture rapid momentum shifts. Smooth Trend offers conservative trend confirmation ideal for position trading on 4-hour to weekly charts, employing stricter volume requirements and extended periods to filter noise and identify only the most robust directional moves.
▶ Built-in Alerts: Three alert conditions enable automated monitoring: Bullish Trend Signal triggers when the fast MA crosses above the slow MA confirming uptrend initiation, Bearish Trend Signal activates when the fast MA crosses below the slow MA confirming downtrend initiation, and Trend Change alerts on any directional transition regardless of direction. These notifications allow you to respond to volume-validated regime shifts without continuous chart monitoring.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments. The adjustable fill opacity control (0-100%) allows fine-tuning of ribbon prominence, with lower opacity values create subtle background context while higher values produce bold trend emphasis. Optional bar coloring extends the trend indication directly to the price bars, providing immediate directional reference without requiring visual cross-reference to the ribbon itself.
LuxyEnergyIndexThe Luxy Energy Index (LEI) library provides functions to measure price movement exhaustion by analyzing three dimensions: Extension (distance from fair value), Velocity (speed of movement), and Volume (confirmation level).
LEI answers a different question than traditional momentum indicators: instead of "how far has price gone?" (like RSI), LEI asks "how tired is this move?"
This library allows Pine Script developers to integrate LEI calculations into their own indicators and strategies.
How to Import
//@version=6
indicator("My Indicator")
import OrenLuxy/LuxyEnergyIndex/1 as LEI
Main Functions
`lei(src)` → float
Returns the LEI value on a 0-100 scale.
src (optional): Price source, default is `close`
Returns : LEI value (0-100) or `na` if insufficient data (first 50 bars)
leiValue = LEI.lei()
leiValue = LEI.lei(hlc3) // custom source
`leiDetailed(src)` → tuple
Returns LEI with all component values for detailed analysis.
= LEI.leiDetailed()
Returns:
`lei` - Final LEI value (0-100)
`extension` - Distance from VWAP in ATR units
`velocity` - 5-bar price change in ATR units
`volumeZ` - Volume Z-Score
`volumeModifier` - Applied modifier (1.0 = neutral)
`vwap` - VWAP value used
Component Functions
| Function | Description | Returns |
|-----------------------------------|---------------------------------|---------------|
| `calcExtension(src, vwap)` | Distance from VWAP / ATR | float |
| `calcVelocity(src)` | 5-bar price change / ATR | float |
| `calcVolumeZ()` | Volume Z-Score | float |
| `calcVolumeModifier(volZ)` | Volume modifier | float (≥1.0) |
| `getVWAP()` | Auto-detects asset type | float |
Signal Functions
| Function | Description | Returns |
|---------------------------------------------|----------------------------------|-----------|
| `isExhausted(lei, threshold)` | LEI ≥ threshold (default 70) | bool |
| `isSafe(lei, threshold)` | LEI ≤ threshold (default 30) | bool |
| `crossedExhaustion(lei, threshold)` | Crossed into exhaustion | bool |
| `crossedSafe(lei, threshold)` | Crossed into safe zone | bool |
Utility Functions
| Function | Description | Returns |
|----------------------------|-------------------------|-----------|
| `getZone(lei)` | Zone name | string |
| `getColor(lei)` | Recommended color | color |
| `hasEnoughHistory()` | Data check | bool |
| `minBarsRequired()` | Required bars | int (50) |
| `version()` | Library version | string |
Interpretation Guide
| LEI Range | Zone | Meaning |
|-------------|--------------|--------------------------------------------------|
| 0-30 | Safe | Low exhaustion, move may continue |
| 30-50 | Caution | Moderate exhaustion |
| 50-70 | Warning | Elevated exhaustion |
| 70-100 | Exhaustion | High exhaustion, increased reversal risk |
Example: Basic Usage
//@version=6
indicator("LEI Example", overlay=false)
import OrenLuxy/LuxyEnergyIndex/1 as LEI
// Get LEI value
leiValue = LEI.lei()
// Plot with dynamic color
plot(leiValue, "LEI", LEI.getColor(leiValue), 2)
// Reference lines
hline(70, "High", color.red)
hline(30, "Low", color.green)
// Alert on exhaustion
if LEI.crossedExhaustion(leiValue) and barstate.isconfirmed
alert("LEI crossed into exhaustion zone")
Technical Details
Fixed Parameters (by design):
Velocity Period: 5 bars
Volume Period: 20 bars
Z-Score Period: 50 bars
ATR Period: 14
Extension/Velocity Weights: 50/50
Asset Support:
Stocks/Forex: Uses Session VWAP (daily reset)
Crypto: Uses Rolling VWAP (50-bar window) - auto-detected
Edge Cases:
Returns `na` until 50 bars of history
Zero volume: Volume modifier defaults to 1.0 (neutral)
Credits and Acknowledgments
This library builds upon established technical analysis concepts:
VWAP - Industry standard volume-weighted price measure
ATR by J. Welles Wilder Jr. (1978) - Volatility normalization
Z-Score - Statistical normalization method
Volume analysis principles from Volume Spread Analysis (VSA) methodology
Disclaimer
This library is provided for **educational and informational purposes only**. It does not constitute financial advice. Past performance does not guarantee future results. The exhaustion readings are probabilistic indicators, not guarantees of price reversal. Always conduct your own research and use proper risk management when trading.
Open Interest Z-Score [BackQuant]Open Interest Z-Score
A standardized pressure gauge for futures positioning that turns multi venue open interest into a Z score, so you can see how extreme current positioning is relative to its own history and where leverage is stretched, decompressing, or quietly re loading.
What this is
This indicator builds a single synthetic open interest series by aggregating futures OI across major derivatives venues, then standardises that aggregated OI into a rolling Z score. Instead of looking at raw OI or a simple change, you get a normalized signal that says "how many standard deviations away from normal is positioning right now", with optional smoothing, reference bands, and divergence detection against price.
You can render the Z score in several plotting modes:
Line for a clean, classic oscillator.
Colored line that encodes both sign and momentum of OI Z.
Oscillator histogram that makes impulses and compressions obvious.
The script also includes:
Aggregated open interest across Binance, Bybit, OKX, Bitget, Kraken, HTX, and Deribit, using multiple contract suffixes where applicable.
Choice of OI units, either coin based or converted to USD notional.
Standard deviation reference lines and adaptive extreme bands.
A flexible smoothing layer with multiple moving average types.
Automatic detection of regular and hidden divergences between price and OI Z.
Alerts for zero line and ±2 sigma crosses.
Aggregated open interest source
At the core is the same multi venue OI aggregation engine as in the OI RSI tool, adapted from NoveltyTrade's work and extended for this use case. The indicator:
Anchors on the current chart symbol and its base currency.
Loops over a set of exchanges, gated by user toggles:
Binance.
Bybit.
OKX.
Bitget.
Kraken.
HTX.
Deribit.
For each exchange, loops over several contract suffixes such as USDT.P, USD.P, USDC.P, USD.PM to cover the common perp and margin styles.
Requests OI candles for each exchange plus suffix pair into a small custom OI type that carries open, high, low and close of open interest.
Converts each OI stream into a common unit via the sw method:
In COIN mode, OI is normalized relative to the coin.
In USD mode, OI is scaled by price to approximate notional.
Exchange specific scaling factors are applied where needed to match contract multipliers.
Accumulates all valid OI candles into a single combined OI "candle" by summing open, high, low and close across venues.
The result is oiClose , a synthetic close for aggregated OI that represents cross venue positioning. If there is no valid OI data for the symbol after this process, the script throws a clear runtime error so you know the market is unsupported rather than quietly plotting nonsense.
How the Z score is computed
Once the aggregated OI close is available, the indicator computes a rolling Z score over a configurable lookback:
Define subject as the aggregated OI close.
Compute a rolling mean of this subject with EMA over Z Score Lookback Period .
Compute a rolling standard deviation over the same length.
Subtract the mean from the current OI and divide by the standard deviation.
This gives a raw Z score:
oi_z_raw = (subject − mean) ÷ stdDev .
Instead of plotting this raw value directly, the script passes it through a smoothing layer:
You pick a Smoothing Type and Smoothing Period .
Choices include SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA, and T3.
The helper ma function applies the chosen smoother to the raw Z score.
The result is oi_z , a smoothed Z score of aggregated open interest. A separate EMA with EMA Period is then applied on oi_z to create a signal line ma that can be used for crossovers and trend reads.
Plotting modes
The Plotting Type input controls how this Z score is rendered:
1) Line
In line mode:
The smoothed OI Z score is plotted as a single line using Base Line Color .
The EMA overlay is optionally plotted if Show EMA is enabled.
This is the cleanest view when you want to treat OI Z like a standard oscillator, watching for zero line crosses, swings, and divergences.
2) Colored Line
Colored line mode adds conditional color logic to the Z score:
If the Z score is above zero and rising, it is bright green, representing positive and strengthening positioning pressure.
If the Z score is above zero and falling, it shifts to a cooler cyan, representing positive but weakening pressure.
If the Z score is below zero and falling, it is bright red, representing negative and strengthening pressure (growing net de risking or shorting).
If the Z score is below zero and rising, it is dark red, representing negative but recovering pressure.
This mapping makes it easy to see not only whether OI is above or below its historical mean, but also whether that deviation is intensifying or fading.
3) Oscillator
Oscillator mode turns the Z score into a histogram:
The smoothed Z score is plotted as vertical columns around zero.
Column colors use the same conditional palette as colored line mode, based on sign and change direction.
The histogram base is zero, so bars extend up into positive Z and down into negative Z.
Oscillator mode is useful when you care about impulses in positioning, for example sharp jumps into positive Z that coincide with fast builds in leverage, or deep spikes into negative Z that show aggressive flushes.
4) None
If you only want reference lines, extreme bands, divergences, or alerts without the base oscillator, you can set plotting to None and keep the rest of the tooling active.
The EMA overlay respects plotting mode and only appears when a visible Z score line or histogram is present.
Reference lines and standard deviation levels
The Select Reference Lines input offers two styles:
Standard Deviation Levels
Plots small markers at zero.
Draws thin horizontal lines at +1, +2, −1 and −2 Z.
Acts like a classic Z score ladder, zero as mean, ±1 as normal band, ±2 as outer band.
This mode is ideal if you want a textbook statistical framing, using ±1 and ±2 sigma as standard levels for "normal" versus "extended" positioning.
Extreme Bands
Extreme bands build on the same ±1 and ±2 lines, then add:
Upper outer band between +3 and +4 Z.
Lower outer band between −3 and −4 Z.
Dynamic fill colors inside these bands:
If the Z score is positive, the upper band fill turns red with an alpha that scales with the magnitude of |Z|, capped at a chosen max strength. Stronger deviations towards +4 produce more opaque red fills.
If the Z score is negative, the lower band fill turns green with the same adaptive alpha logic, highlighting deep negative deviations.
Opposite side bands remain a faint neutral white when not in use, so they still provide structural context without shouting.
This creates a visual "danger zone" for position crowding. When the Z score enters these outer bands, open interest is many standard deviations away from its mean and you are dealing with rare but highly loaded positioning states.
Z score as a positioning pressure gauge
Because this is a Z score of aggregated open interest, it measures how unusual current positioning is relative to its own recent history, not just whether OI is rising or falling:
Z near zero means total OI is roughly in line with normal conditions for your lookback window.
Positive Z means OI is above its recent mean. The further above zero, the more "crowded" or extended positioning is.
Negative Z means OI is below its recent mean. Deep negatives often mark post flush environments where leverage has been cleared and the market is under positioned.
The smoothing options help control how much noise you want in the signal:
Short Z score lookback and short smoothing will react quickly, suited for short term traders watching intraday positioning shocks.
Longer Z score lookback with smoother MA types (EMA, RMA, T3) give a slower, more structural view of where the crowd sits over days to weeks.
Divergences between price and OI Z
The indicator includes automatic divergence detection on the Z score versus price, using pivot highs and lows:
You configure Pivot Lookback Left and Pivot Lookback Right to control swing sensitivity.
Pivots are detected on the OI Z series.
For each eligible pivot, the script compares OI Z and price at the last two pivots.
It looks for four patterns:
Regular Bullish – price makes a lower low, OI Z makes a higher low. This can indicate selling exhaustion in positioning even as price washes out. These are marked with a line and a label "ℝ" below the oscillator, in the bullish color.
Hidden Bullish – price makes a higher low, OI Z makes a lower low. This suggests continuation potential where price holds up while positioning resets. Marked with "ℍ" in the bullish color.
Regular Bearish – price makes a higher high, OI Z makes a lower high. This is a classic warning sign of trend exhaustion, where price pushes higher while OI Z fails to confirm. Marked with "ℝ" in the bearish color.
Hidden Bearish – price makes a lower high, OI Z makes a higher high. This is often seen in pullbacks within downtrends, where price retraces but positioning stretches again in the direction of the prevailing move. Marked with "ℍ" in the bearish color.
Each divergence type can be toggled globally via Show Detected Divergences . Internally, the script restricts how far back it will connect pivots, so you do not get stray signals linking very old structures to current bars.
Trading applications
Crowding and squeeze risk
Z scores are a natural way to talk about crowding:
High positive Z in aggregated OI means the market is running high leverage compared to its own norm. If price is also extended, the risk of a squeeze or sharp unwind rises.
Deep negative Z means leverage has been cleaned out. While it can be painful to sit through, this environment often sets up cleaner new trends, since there is less one sided positioning to unwind.
The extreme bands at ±3 to ±4 highlight the rare states where crowding is most intense. You can treat these events as regime markers rather than day to day noise.
Trend confirmation and fade selection
Combine Z score with price and trend:
Bull trends with positive and rising Z are supported by fresh leverage, usually more persistent.
Bull trends with flat or falling Z while price keeps grinding up can be more fragile. Divergences and extreme bands can help identify which edges you do not want to fade and which you might.
In downtrends, deep negative Z that stays pinned can mean persistent de risking. Once the Z score starts to mean revert back toward zero, it can mark the early stages of stabilization.
Event and liquidation context
Around major events, you often see:
Rapid spikes in Z as traders rush to position.
Reversal and overshoot as liquidations and forced de risking clear the book.
A move from positive extremes through zero into negative extremes as the market transitions from crowded to under exposed.
The Z score makes that path obvious, especially in oscillator mode, where you see a block of high positive bars before the crash, then a slab of deep negative bars after the flush.
Settings overview
Z Score group
Plotting Type – None, Line, Colored Line, Oscillator.
Z Score Lookback Period – window used for mean and standard deviation on aggregated OI.
Smoothing Type – SMA, HMA, EMA, WMA, DEMA, RMA, linear regression, ALMA, TEMA or T3.
Smoothing Period – length for the selected moving average on the raw Z score.
Moving Average group
Show EMA – toggle EMA overlay on Z score.
EMA Period – EMA length for the signal line.
EMA Color – color of the EMA line.
Thresholds and Reference Lines group
Select Reference Lines – None, Standard Deviation Levels, Extreme Bands.
Standard deviation lines at 0, ±1, ±2 appear in both modes.
Extreme bands add filled zones at ±3 to ±4 with adaptive opacity tied to |Z|.
Extra Plotting and UI
Base Line Color – default color for the simple line mode.
Line Width – thickness of the oscillator line.
Positive Color – positive or bullish condition color.
Negative Color – negative or bearish condition color.
Divergences group
Show Detected Divergences – master toggle for divergence plotting.
Pivot Lookback Left and Pivot Lookback Right – how many bars left and right to define a pivot, controlling divergence sensitivity.
Open Interest Source group
OI Units – COIN or USD.
Exchange toggles for Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit.
Internally, all enabled exchanges and contract suffixes are aggregated into one synthetic OI series.
Alerts included
The indicator defines alert conditions for several key events:
OI Z Score Positive – Z crosses above zero, aggregated OI moves from below mean to above mean.
OI Z Score Negative – Z crosses below zero, aggregated OI moves from above mean to below mean.
OI Z Score Enters +2σ – Z enters the +2 band and above, marking extended positive positioning.
OI Z Score Enters −2σ – Z enters the −2 band and below, marking extended negative positioning.
Tie these into your strategy to be notified when leverage moves from normal to extended states.
Notes
This indicator does not rely on price based oscillators. It is a statistical lens on cross venue open interest, which makes it a complementary tool rather than a replacement for your existing price or volume signals. Use it to:
Quantify how unusual current futures positioning is compared to recent history.
Identify crowded leverage phases that can fuel squeezes.
Spot structural divergences between price and positioning.
Frame risk and opportunity around events and regime shifts.
It is not a complete trading system. Combine it with your own entries, exits and risk rules to get the most out of what the Z score is telling you about positioning pressure under the hood of the market.
