Ultimate AI Trading System - BW + QIMLOverview
Ultimate AI Trading System - BW + QIML is an overlay indicator that integrates Bill Williams' Profitunity chaos theory framework—specifically the Alligator for trend detection, Awesome Oscillator (AO) for momentum acceleration, Fractals for breakout pivots, and Market Facilitation Index (MFI) for efficiency/volume confirmation—with a custom quantum-inspired machine learning (QIML) layer. This fusion creates a multi-tier signal hierarchy (ultra-high, high, medium confidence) for long/short entries, designed to mitigate false signals in chaotic markets by requiring cross-validation between qualitative pattern recognition (BW) and probabilistic state modeling (QIML). An AI enhancement filter blends additional features (e.g., Stoch RSI, MACD histogram) via a weighted hyperbolic tangent model for final confirmation. The result is a adaptive system that escalates signals based on alignment strength, with a dashboard displaying real-time scores and market phases, ideal for trend-following in volatile assets like forex pairs (EURUSD) or indices (SPX) on 1H–Daily timeframes.
Core Mechanics
The indicator operates via two synergistic engines, plus an AI filter, to generate non-repainting signals only on bar close:
Bill Williams Engine (Chaos Theory Foundation)
This draws from Williams' "Profitunity" philosophy, viewing markets as fractal-driven chaos where trends emerge from "sleeping" to "awakening" phases:
Alligator: Three smoothed moving averages (SMMA via RMA) on HL/2—Jaw (13-period, blue), Teeth (8-period, red), Lips (5-period, green). Bullish "open mouth" when Lips > Teeth > Jaw (price above lines); bearish inverse. Signals trend emergence; e.g., crossover above Jaw indicates chaos resolving into uptrend.
Awesome Oscillator (AO): Histogram of SMA(HL/2, 5) - SMA(HL/2, 34). Measures momentum divergence—rising green bars above zero = accelerating bulls; saucer patterns (three-bar lows) confirm shifts.
Fractals: Local pivots (2-bar left/right confirmation)—up-fractal (high > neighbors) as resistance breaks, down-fractal (low < neighbors) as support. Triggers on close crossing the most recent fractal price.
Market Facilitation Index (MFI): (High - Low) / Volume ratio. Filters efficiency: "Green" (MFI rising + volume up) confirms genuine moves; "Fake" (MFI up, volume down) warns traps; optional toggle to block signals without volume backing.
These create base conditions: e.g., long if Alligator bullish + AO positive + fractal breakout + MFI green.
Quantum-Inspired ML (QIML) Engine (Probabilistic Enhancement)
Inspired by quantum superposition (multiple market "states" co-existing until observed via price action) and tunneling (price "leaping" barriers in low-probability events), this layer quantifies BW's qualitative signals into confidence scores (0–100%):
Superposition State: Z-score normalized momentum differential (fast SMA(10) - slow SMA(20)) represents overlaid bull/bear potentials; scaled by volatility regime (ATR z-score) to dampen in high-vol (ATR >1.2x 20-period avg) or amplify in low-vol (<0.8x).
Probability Weighting: Squared normalized deviation from 20-SMA (as "quantum probability amplitude") weights deviations; e.g., |close - SMA| / max deviation over lookback, squared for non-linear emphasis on extremes.
Tunneling Breakouts: Volatility bands (±1.5x ATR around SMA); crossover = "tunneling" event adding 30% to score, modeling rare but decisive moves.
Confidence Calculation: Tanh-activated aggregation—buy score = tanh(momentum) * 0.5 + min(1, weight) * 0.2 + tunneling * 0.3; scaled 0–100% with vol adjustment (e.g., *0.8 in high vol). Threshold (default 70%) for signals; prevents simultaneous buy/sell by favoring stronger.
QIML complements BW by assigning probabilities to chaos patterns—e.g., Alligator open without momentum gets low score, filtering noise.
AI Enhancement Filter (Feature Fusion)
A simple weighted tanh model normalizes and blends four features over user lookback (default 20):
Momentum: Stoch RSI (RSI(14) stochastized) z-normalized (-1 to +1).
Trend: MACD(12,26,9) histogram normalized.
Volatility: ATR(14) normalized.
Context: (Close - Jaw) normalized for Alligator alignment.
Final score = 0.3momentum + 0.25trend + 0.15vol + 0.3context; tanh-applied for sigmoid-like bounding (-1 bear to +1 bull). Threshold (default 0.5) gates signals; e.g., >0.5 required for longs.
Signal Hierarchy & Integration
Ultra-High (Rare, Lime/Maroon labels): Full BW condition + QIML >85% + AI >0.7 (strict alignment for "quantum collapse" to trend).
High (Green/Red arrows): Mode-dependent—Conservative: BW + QIML; Aggressive: OR; Single modes: One engine only.
Medium (Faded circles): Partial (e.g., BW without QIML but QIML >50%) for scalps.
No overlaps; MFI/AI optional. Background tints market phase (green bull momentum low-vol, etc.).
Dashboard (bottom-right default): Rows for Alligator/AO/MFI status, AI score, QIML buy/sell %, final signal, and mode note.
Why This Adds Value & Originality
Standalone BW tools excel at chaos detection but lack probabilistic filtering, leading to whipsaws in ranging markets (e.g., Alligator "sleeps" indefinitely). Pure ML overlays often ignore fractal geometry, missing breakout nuances. This mashup justifies its integration by using QIML's superposition/tunneling to "quantize" BW signals—e.g., fractal breaks only fire if probability-weighted momentum aligns, reducing false positives by 30–50% in backtests on EURUSD 1H (user-verifiable via strategy tester). The AI layer fuses BW context (Jaw deviation) with standard oscillators, creating a "chaos-aware" score absent in generic hybrids. No equivalent script applies tanh-bounded quantum analogies to BW fractals with tiered modes and vol-regime damping; it condenses 4+ indicators into one, with ultra-signals for high-RR setups (e.g., scale into ultra on pullbacks).
How to Use
Setup: Overlay on chart. Start with Conservative mode + defaults (Jaw 13/Teeth 8/Lips 5; QIML lookback 20, threshold 70%; AI threshold 0.5). Enable MFI for volume assets; toggle ultra for rarer entries. Position dashboard as needed.
Interpret Signals:
Ultra: Large triangles—e.g., "ULTRA BUY" on Alligator open + AO saucer + fractal cross + QIML 90% (enter full size, trail via Teeth).
High: Standard arrows—Conservative requires dual confirmation; Aggressive suits scalps (e.g., BUY on QIML alone if BW neutral).
Medium: Small circles—probe with half-size (e.g., "B" if partial bull).
Dashboard: Green AO + 75% QIML buy = building case; "WAIT" if neutral.
Trading Example: On GBPUSD 4H, Alligator opens bull (Lips cross Teeth) + fractal break at 1.25 + QIML 72% (momentum z>0, low-vol amp) + AI 0.6 → High BUY. Stop below down-fractal; target 1:2 RR at upper band. In crypto (BTC 1H), shorten BW lengths (Jaw 10) + Aggressive mode for volatility.
Alerts: Set for ultra/high/medium; messages include ticker and type.
Best on trending/chaotic markets (avoid pure ranges); 1H+ for swings, 15M+ Aggressive for day trades. Pair with volume profiles for confluence.
Tips
Backtest modes: Conservative yields fewer (higher win-rate) signals; tune QIML vol sensitivity (0.8 low-vol assets like stocks, 1.5 crypto).
Customize: Disable Alligator display for clean charts; extend lookback in trends (QIML 40).
Optimization: Test AI weights (e.g., boost context to 0.4 for BW-heavy bias).
Limitations & Disclaimer
Signals confirm on close (1-bar lag); QIML/AI are rule-based heuristics, not trained neural nets—overfit risk in non-chaotic regimes (e.g., news spikes). BW assumes fractal persistence (fails in manipulations); MFI volume-dependent (weak on forex). No auto-exits—use ATR(14)*1.5 stops. Thresholds need per-asset tuning (e.g., lower 60% for high-vol). Max 10–20 signals/month in Conservative. Not financial advice; backtest thoroughly, risk ≤1% capital. Past performance ≠ future results. Share ideas in comments!
Search in scripts for "volume profile"
Malama's Heat MapOverview
Malama's Heat Map is an overlay indicator that visualizes historical liquidity as a dynamic heatmap aligned with the price chart, using volume as a proxy to map activity across time (X-axis) and price levels (Y-axis). It constructs a grid of up to 5000 cells via a matrix, distributing bar volume into discrete price bins to highlight concentration zones, creating a color-graded visualization from cool (low activity) to hot (high liquidity). This aids in identifying "Type II" fair value areas, support/resistance from past volume clusters, or potential imbalances without order book access. Built for v6 compatibility with efficiency in mind—computations run solely on the last bar, includes object limit enforcement, and offers two intra-bar volume distribution methods for flexible approximation.
Core Mechanics
The indicator generates a trailing heatmap through binning, accumulation, and box-based rendering:
Grid Setup: Configurable lookback (bars back, default 100) sets horizontal time span; bins (price divisions, default 50) define vertical resolution, limited to 5000 total cells to prevent errors. Bin height dynamically = max(mintick, (lookback high - low) / bins).
Y-Axis Stabilization: Anchors boundaries to the prior bar's high/low (if available) for a flicker-free view during live bar updates. All historical bar data (high/low/close/volume) is clipped to these bounds.
Volume Distribution Proxy:
Even: Divides bar volume equally across spanned bins (straightforward uniform spread).
POC Weighted (Inverse): Treats bar close as POC proxy; applies inverse distance weighting (1/(|bin - POC bin| + 1), normalized) to emphasize volume near the estimated control point, simulating clustered intra-bar trading.
Matrix Building: On last bar only, loops backward over lookback bars (newest right-aligned). For each, computes low/high bin indices, distributes volume per selected method into the matrix (columns=time, rows=price bins from low to high).
Scaling & Palette: Extracts max matrix value for relative normalization (0-1); maps to a 5-tier stepped color scheme (user-customizable: blue 90% transp. low → red 50% transp. high) for non-linear intensity.
Rendering: Clears old boxes, then iterates matrix to draw only non-zero cells as thin boxes: X spans one bar width (left=historical index from bar_index, right=next bar), Y fills bin height. Borderless for seamless heatmap effect.
The result is a right-leaning, chart-scrolling visualization emphasizing recent liquidity buildup.
Why This Adds Value & Originality
While session-based volume profiles exist, this heatmap captures ongoing multi-bar liquidity evolution ("Type II" style), revealing horizontal value areas or gaps dynamically. Originality shines in the custom inverse-weighting for POC realism (no ta.* dependencies), matrix-driven persistence for quick redraws, and stabilization to eliminate repaints—issues plaguing similar scripts. v6 adaptations (e.g., custom clamp, matrix recreation on input change) ensure broad compatibility without bloat. It condenses complex liquidity scanning into one tool: spot red "hot" bands as magnets, blue voids as FVGs. Unlike generic heatmaps, the proxy options and limit-aware design scale across timeframes/assets (e.g., forex vs. crypto), reducing the need for layered indicators.
How to Use
Setup: Apply as overlay. Defaults suit ~4-day 1H view; tune lookback/bins (e.g., 50x100 for intraday fine-detail, but watch 5000 cap—errors auto-flag excesses). Select "POC Weighted" for nuanced clustering, "Even" for simplicity. Customize palette (e.g., desaturate for dark themes).
Reading the Heatmap:
X-Axis (Time): Left=older (fainter context), right=recent focus; tracks evolving liquidity trails.
Y-Axis (Price): Bottom=range low, top=high; vertical density shows price-level attraction.
Colors: Faint blue (sparse volume, possible inefficiencies) → vivid red (dense activity, likely SR). Horizontal streaks = sustained value zones.
Trading Insights: Price wicking into red? Anticipate fills/reversals. Blue gaps post-break? Targets for retraces. Ideal on 5M–Daily; layer with candlesticks off for purity.
Example: In BTCUSD 4H, a yellow-red band at $60K from prior consolidation → treat as dynamic support for longs on dips.
Tips
Balance settings: High bins = sharper verticals but cap lookback (e.g., 80x60=4800 cells). Test on volatile pairs first.
"POC Weighted" excels in ranging markets; switch to "Even" for trending (avoids close-bias skew).
For deeper analysis, screenshot/export or pair with divergence tools; add manual alerts via box counts if extended.
Efficiency: Last-bar only keeps it snappy; refresh on input tweaks.
Limitations & Disclaimer
Visualization is historical/proxy-based—lagging by one bar, no forward projection or tick-level precision (close-as-POC is estimate). Clipping may trim outlier wicks; low-volume bars dilute globally. Stepped colors are relative (max scales per redraw), potentially compressing extremes. Exceeds 5000 cells? Runtime error halts—no fallback resize. Not real liquidity (volume ≠ depth); best as visual aid, not quantitative. Updates post-close only. Backtest zones on specific symbols—correlation ≠ causation. Not advice; trade responsibly. Ideas in comments!
Advanced Range Analyzer ProAdvanced Range Analyzer Pro – Adaptive Range Detection & Breakout Forecasting
Overview
Advanced Range Analyzer Pro is a comprehensive trading tool designed to help traders identify consolidations, evaluate their strength, and forecast potential breakout direction. By combining volatility-adjusted thresholds, volume distribution analysis, and historical breakout behavior, the indicator builds an adaptive framework for navigating sideways price action. Instead of treating ranges as noise, this system transforms them into opportunities for mean reversion or breakout trading.
How It Works
The indicator continuously scans price action to identify active range environments. Ranges are defined by volatility compression, repeated boundary interactions, and clustering of volume near equilibrium. Once detected, the indicator assigns a strength score (0–100), which quantifies how well-defined and compressed the consolidation is.
Breakout probabilities are then calculated by factoring in:
Relative time spent near the upper vs. lower range boundaries
Historical breakout tendencies for similar structures
Volume distribution inside the range
Momentum alignment using auxiliary filters (RSI/MACD)
This creates a live probability forecast that updates as price evolves. The tool also supports range memory, allowing traders to analyze the last completed range after a breakout has occurred. A dynamic strength meter is displayed directly above each consolidation range, providing real-time insight into range compression and breakout potential.
Signals and Breakouts
Advanced Range Analyzer Pro includes a structured set of visual tools to highlight actionable conditions:
Range Zones – Gradient-filled boxes highlight active consolidations.
Strength Meter – A live score displayed in the dashboard quantifies compression.
Breakout Labels – Probability percentages show bias toward bullish or bearish continuation.
Breakout Highlights – When a breakout occurs, the range is marked with directional confirmation.
Dashboard Table – Displays current status, strength, live/last range mode, and probabilities.
These elements update in real time, ensuring that traders always see the current state of consolidation and breakout risk.
Interpretation
Range Strength : High scores (70–100) indicate strong consolidations likely to resolve explosively, while low scores suggest weak or choppy ranges prone to false signals.
Breakout Probability : Directional bias greater than 60% suggests meaningful breakout pressure. Equal probabilities indicate balanced compression, favoring mean-reversion strategies.
Market Context : Ranges aligned with higher timeframe trends often resolve in the dominant direction, while counter-trend ranges may lead to reversals or liquidity sweeps.
Volatility Insight : Tight ranges with low ATR imply imminent expansion; wide ranges signal extended consolidation or distribution phases.
Strategy Integration
Advanced Range Analyzer Pro can be applied across multiple trading styles:
Breakout Trading : Enter on probability shifts above 60% with confirmation of volume or momentum.
Mean Reversion : Trade inside ranges with high strength scores by fading boundaries and targeting equilibrium.
Trend Continuation : Focus on ranges that form mid-trend, anticipating continuation after consolidation.
Liquidity Sweeps : Use failed breakouts at boundaries to capture reversals.
Multi-Timeframe : Apply on higher timeframes to frame market context, then execute on lower timeframes.
Advanced Techniques
Combine with volume profiles to identify areas of institutional positioning within ranges.
Track sequences of strong consolidations for trend development or exhaustion signals.
Use breakout probability shifts in conjunction with order flow or momentum indicators to refine entries.
Monitor expanding/contracting range widths to anticipate volatility cycles.
Custom parameters allow fine-tuning sensitivity for different assets (crypto, forex, equities) and trading styles (scalping, intraday, swing).
Inputs and Customization
Range Detection Sensitivity : Controls how strictly ranges are defined.
Strength Score Settings : Adjust weighting of compression, volume, and breakout memory.
Probability Forecasting : Enable/disable directional bias and thresholds.
Gradient & Fill Options : Customize range visualization colors and opacity.
Dashboard Display : Toggle live vs last range, info table size, and position.
Breakout Highlighting : Choose border/zone emphasis on breakout events.
Why Use Advanced Range Analyzer Pro
This indicator provides a data-driven approach to trading consolidation phases, one of the most common yet underutilized market states. By quantifying range strength, mapping probability forecasts, and visually presenting risk zones, it transforms uncertainty into clarity.
Whether you’re trading breakouts, fading ranges, or mapping higher timeframe context, Advanced Range Analyzer Pro delivers a structured, adaptive framework that integrates seamlessly into multiple strategies.
Ema With VoLume RangeEMA with Volume Range – Adaptive Trend, Trailing Stops & Volume Profile Zones
This sophisticated indicator integrates three powerful trading tools in a single overlay: a classic EMA200, precision ATR-based buy/sell signals, and a unique double-zone volume profile for deep market structure analysis. Ideal for swing traders, scalpers, and volume-driven investors seeking actionable, multi-dimensional price insights.
Core Features
EMA200 (Exponential Moving Average):
Plots a customizable EMA200 (blue line) for identifying primary trend direction and dynamic support/resistance.
Exponential smoothing is enabled by default for better tracking of recent price action.
ATR-Based Trailing Stop with Buy/Sell Signals:
Uses Average True Range (ATR) to set adaptive trailing stop levels that respond to current market volatility.
Buy and Sell signals (tiny green and red labels) trigger whenever price crosses the trailing stop for precise entries and exits.
All signals are alert-enabled for automated or semi-automated trading workflows.
Adjustable ATR multiplier and lookback for tuning responsiveness.
Dual Volume Range Zones & Profile Histogram:
Automatically highlights recent high/low price zones (upper and lower) using your lookback period and zone width settings.
Each zone is split into horizontal "bins," color-coded for buy/sell dominance and highlighting the Point of Control (POC)—the price with the most traded volume.
The indicator draws live volume histograms inside each zone, supplementing them with labels that show buy vs. sell volumes and POC statistics.
Adjustable bin count, transparency, colors, and histogram granularity to fit your visual preference.
Optional midlines and fair value drift line help visualize price equilibrium and value shifts over time.
How to Use
Trend Confirmation: Align trades with the EMA200—trade long above, short below, or wait for ATR-trailing stop triggers that coincide with the EMA bias.
Signal Generation: Use the ATR trailing stop Buy/Sell signals to spot shifts in volatility-adjusted direction early.
Volume Zone Analysis: Identify where the highest concentration of buy/sell activity occurred within the customizable upper/lower zones:
Use high volume bins and POC as magnets for price, support/resistance, or to confirm breakout/failure zones.
Leverage the fair value drift line and dynamic labels to detect changes in market sentiment and volume pressure.
Ema With Buy/Sell Signals Pro This advanced multi-tool indicator combines Exponential Moving Averages (EMAs), dynamic buy/sell signal logic, ATR-based trailing stops, and a custom volume profile heatmap, delivering a complete solution for identifying trend direction, momentum shifts, and high-activity price zones.
Core Components & Features
📊 1. Triple EMA Overlay
Plots 20, 50, and 200 EMA lines on the chart.
Visualizes short-term, medium-term, and long-term trend directions.
Acts as dynamic support/resistance levels and trend confirmation tools.
💡 2. Smart Buy/Sell Signal System (ATR-Based)
Utilizes an ATR Trailing Stop to detect trend reversals.
Generates Buy signals when price breaks above the ATR stop and confirms strength.
Generates Sell signals when price breaks below the ATR stop and confirms weakness.
Optionally triggers alerts on crossover signals to capture momentum moves early.
📈 3. ATR Extension Signal
Highlights strong momentum bursts using a price/ATR divergence logic.
Filters conditions where price is significantly extended from the 50 EMA.
Plots blue circles above bars to indicate potential breakout continuation.
🧮 4. Volume Profile Heatmap (Custom Coded)
Plots a horizontal Volume Distribution Profile over a customizable lookback window.
Visualizes buy vs sell volume density across price levels using colored boxes:
Green = Buy Dominant
Red = Sell Dominant
5. Fully Customizable Inputs
Adjustable EMAs, ATR period, multipliers, and signal sensitivity.
Fine-tune volume profile resolution, scale, and transparency.
Turn ON/OFF heatmap and lookback visualization for cleaner charts.
✅ Best Use-Cases
Trend-following strategies with reliable momentum confirmation.
Entry/exit signals based on volatility-adjusted stop loss logic.
Spotting key liquidity zones, support/resistance bands, and volume imbalances.
Works for intraday, swing, and position trading.
Diamond Peaks [EdgeTerminal]The Diamond Peaks indicator is a comprehensive technical analysis tool that uses a few mathematical models to identify high-probability trading opportunities. This indicator goes beyond traditional support and resistance identification by incorporating volume analysis, momentum divergences, advanced price action patterns, and market sentiment indicators to generate premium-quality buy and sell signals.
Dynamic Support/Resistance Calculation
The indicator employs an adaptive algorithm that calculates support and resistance levels using a volatility-adjusted lookback period. The base calculation uses ta.highest(length) and ta.lowest(length) functions, where the length parameter is dynamically adjusted using the formula: adjusted_length = base_length * (1 + (volatility_ratio - 1) * volatility_factor). The volatility ratio is computed as current_ATR / average_ATR over a 50-period window, ensuring the lookback period expands during volatile conditions and contracts during calm periods. This mathematical approach prevents the indicator from using fixed periods that may become irrelevant during different market regimes.
Momentum Divergence Detection Algorithm
The divergence detection system uses a mathematical comparison between price series and oscillator values over a specified lookback period. For bullish divergences, the algorithm identifies when recent_low < previous_low while simultaneously indicator_at_recent_low > indicator_at_previous_low. The inverse logic applies to bearish divergences. The system tracks both RSI (calculated using Pine Script's standard ta.rsi() function with Wilder's smoothing) and MACD (using ta.macd() with exponential moving averages). The mathematical rigor ensures that divergences are only flagged when there's a clear mathematical relationship between price momentum and the underlying oscillator momentum, eliminating false signals from minor price fluctuations.
Volume Analysis Mathematical Framework
The volume analysis component uses multiple mathematical transformations to assess market participation. The Cumulative Volume Delta (CVD) is calculated as ∑(buying_volume - selling_volume) where buying_volume occurs when close > open and selling_volume when close < open. The relative volume calculation uses current_volume / ta.sma(volume, period) to normalize current activity against historical averages. Volume Rate of Change employs ta.roc(volume, period) = (current_volume - volume ) / volume * 100 to measure volume acceleration. Large trade detection uses a threshold multiplier against the volume moving average, mathematically identifying institutional activity when relative_volume > threshold_multiplier.
Advanced Price Action Mathematics
The Wyckoff analysis component uses mathematical volume climax detection by comparing current volume against ta.highest(volume, 50) * 0.8, while price compression is measured using (high - low) < ta.atr(20) * 0.5. Liquidity sweep detection employs percentage-based calculations: bullish sweeps occur when low < recent_low * (1 - threshold_percentage/100) followed by close > recent_low. Supply and demand zones are mathematically validated by tracking subsequent price action over a defined period, with zone strength calculated as the count of bars where price respects the zone boundaries. Fair value gaps are identified using ATR-based thresholds: gap_size > ta.atr(14) * 0.5.
Sentiment and Market Regime Mathematics
The sentiment analysis employs a multi-factor mathematical model. The fear/greed index uses volatility normalization: 100 - min(100, stdev(price_changes, period) * scaling_factor). Market regime classification uses EMA crossover mathematics with additional ADX-based trend strength validation. The trend strength calculation implements a modified ADX algorithm: DX = |+DI - -DI| / (+DI + -DI) * 100, then ADX = RMA(DX, period). Bull regime requires short_EMA > long_EMA AND ADX > 25 AND +DI > -DI. The mathematical framework ensures objective regime classification without subjective interpretation.
Confluence Scoring Mathematical Model
The confluence scoring system uses a weighted linear combination: Score = (divergence_component * 0.25) + (volume_component * 0.25) + (price_action_component * 0.25) + (sentiment_component * 0.25) + contextual_bonuses. Each component is normalized to a 0-100 scale using percentile rankings and threshold comparisons. The mathematical model ensures that no single component can dominate the score, while contextual bonuses (regime alignment, volume confirmation, etc.) provide additional mathematical weight when multiple factors align. The final score is bounded using math.min(100, math.max(0, calculated_score)) to maintain mathematical consistency.
Vitality Field Mathematical Implementation
The vitality field uses a multi-factor scoring algorithm that combines trend direction (EMA crossover: trend_score = fast_EMA > slow_EMA ? 1 : -1), momentum (RSI-based: momentum_score = RSI > 50 ? 1 : -1), MACD position (macd_score = MACD_line > 0 ? 1 : -1), and volume confirmation. The final vitality score uses weighted mathematics: vitality_score = (trend * 0.4) + (momentum * 0.3) + (macd * 0.2) + (volume * 0.1). The field boundaries are calculated using ATR-based dynamic ranges: upper_boundary = price_center + (ATR * user_defined_multiplier), with EMA smoothing applied to prevent erratic boundary movements. The gradient effect uses mathematical transparency interpolation across multiple zones.
Signal Generation Mathematical Logic
The signal generation employs boolean algebra with multiple mathematical conditions that must simultaneously evaluate to true. Buy signals require: (confluence_score ≥ threshold) AND (divergence_detected = true) AND (relative_volume > 1.5) AND (volume_ROC > 25%) AND (RSI < 35) AND (trend_strength > minimum_ADX) AND (regime = bullish) AND (cooldown_expired = true) AND (last_signal ≠ buy). The mathematical precision ensures that signals only generate when all quantitative conditions are met, eliminating subjective interpretation. The cooldown mechanism uses bar counting mathematics: bars_since_last_signal = current_bar_index - last_signal_bar_index ≥ cooldown_period. This mathematical framework provides objective, repeatable signal generation that can be backtested and validated statistically.
This mathematical foundation ensures the indicator operates on objective, quantifiable principles rather than subjective interpretation, making it suitable for algorithmic trading and systematic analysis while maintaining transparency in its computational methodology.
* for now, we're planning to keep the source code private as we try to improve the models used here and allow a small group to test them. My goal is to eventually use the multiple models in this indicator as their own free and open source indicators. If you'd like to use this indicator, please send me a message to get access.
Advanced Confluence Scoring System
Each support and resistance level receives a comprehensive confluence score (0-100) based on four weighted components:
Momentum Divergences (25% weight)
RSI and MACD divergence detection
Identifies momentum shifts before price reversals
Bullish/bearish divergence confirmation
Volume Analysis (25% weight)
Cumulative Volume Delta (CVD) analysis
Volume Rate of Change monitoring
Large trade detection (institutional activity)
Volume profile strength assessment
Advanced Price Action (25% weight)
Supply and demand zone identification
Liquidity sweep detection (stop hunts)
Wyckoff accumulation/distribution patterns
Fair value gap analysis
Market Sentiment (25% weight)
Fear/Greed index calculation
Market regime classification (Bull/Bear/Sideways)
Trend strength measurement (ADX-like)
Momentum regime alignment
Dynamic Support and Resistance Detection
The indicator uses an adaptive algorithm to identify significant support and resistance levels based on recent market highs and lows. Unlike static levels, these zones adjust dynamically to market volatility using the Average True Range (ATR), ensuring the levels remain relevant across different market conditions.
Vitality Field Background
The indicator features a unique vitality field that provides instant visual feedback about market sentiment:
Green zones: Bullish market conditions with strong momentum
Red zones: Bearish market conditions with weak momentum
Gray zones: Neutral/sideways market conditions
The vitality field uses a sophisticated gradient system that fades from the center outward, creating a clean, professional appearance that doesn't overwhelm the chart while providing valuable context.
Buy Signals (🚀 BUY)
Buy signals are generated when ALL of the following conditions are met:
Valid support level with confluence score ≥ 80
Bullish momentum divergence detected (RSI or MACD)
Volume confirmation (1.5x average volume + 25% volume ROC)
Bull market regime environment
RSI below 35 (oversold conditions)
Price action confirmation (Wyckoff accumulation, liquidity sweep, or large buying volume)
Minimum trend strength (ADX > 25)
Signal alternation check (prevents consecutive buy signals)
Cooldown period expired (default 10 bars)
Sell Signals (🔻 SELL)
Sell signals are generated when ALL of the following conditions are met:
Valid resistance level with confluence score ≥ 80
Bearish momentum divergence detected (RSI or MACD)
Volume confirmation (1.5x average volume + 25% volume ROC)
Bear market regime environment
RSI above 65 (overbought conditions)
Price action confirmation (Wyckoff distribution, liquidity sweep, or large selling volume)
Minimum trend strength (ADX > 25)
Signal alternation check (prevents consecutive sell signals)
Cooldown period expired (default 10 bars)
How to Use the Indicator
1. Signal Quality Assessment
Monitor the confluence scores in the information table:
Score 90-100: Exceptional quality levels (A+ grade)
Score 80-89: High quality levels (A grade)
Score 70-79: Good quality levels (B grade)
Score below 70: Weak levels (filtered out by default)
2. Market Context Analysis
Use the vitality field and market regime information to understand the broader market context:
Trade buy signals in green vitality zones during bull regimes
Trade sell signals in red vitality zones during bear regimes
Exercise caution in gray zones (sideways markets)
3. Entry and Exit Strategy
For Buy Signals:
Enter long positions when premium buy signals appear
Place stop loss below the support confluence zone
Target the next resistance level or use a risk/reward ratio of 2:1 or higher
For Sell Signals:
Enter short positions when premium sell signals appear
Place stop loss above the resistance confluence zone
Target the next support level or use a risk/reward ratio of 2:1 or higher
4. Risk Management
Only trade signals with confluence scores above 80
Respect the signal alternation system (no overtrading)
Use appropriate position sizing based on signal quality
Consider the overall market regime before taking trades
Customizable Settings
Signal Generation Controls
Signal Filtering: Enable/disable advanced filtering
Confluence Threshold: Adjust minimum score requirement (70-95)
Cooldown Period: Set bars between signals (5-50)
Volume/Momentum Requirements: Toggle confirmation requirements
Trend Strength: Minimum ADX requirement (15-40)
Vitality Field Options
Enable/Disable: Control background field display
Transparency Settings: Adjust opacity for center and edges
Field Size: Control the field boundaries (3.0-20.0)
Color Customization: Set custom colors for bullish/bearish/neutral states
Weight Adjustments
Divergence Weight: Adjust momentum component influence (10-40%)
Volume Weight: Adjust volume component influence (10-40%)
Price Action Weight: Adjust price action component influence (10-40%)
Sentiment Weight: Adjust sentiment component influence (10-40%)
Best Practices
Always wait for complete signal confirmation before entering trades
Use higher timeframes for signal validation and context
Combine with proper risk management and position sizing
Monitor the information table for real-time market analysis
Pay attention to volume confirmation for higher probability trades
Respect market regime alignment for optimal results
Basic Settings
Base Length (Default: 25)
Controls the lookback period for identifying support and resistance levels
Range: 5-100 bars
Lower values = More responsive, shorter-term levels
Higher values = More stable, longer-term levels
Recommendation: 25 for intraday, 50 for swing trading
Enable Adaptive Length (Default: True)
Automatically adjusts the base length based on market volatility
When enabled, length increases in volatile markets and decreases in calm markets
Helps maintain relevant levels across different market conditions
Volatility Factor (Default: 1.5)
Controls how much the adaptive length responds to volatility changes
Range: 0.5-3.0
Higher values = More aggressive length adjustments
Lower values = More conservative length adjustments
Volume Profile Settings
VWAP Length (Default: 200)
Sets the calculation period for the Volume Weighted Average Price
Range: 50-500 bars
Shorter periods = More responsive to recent price action
Longer periods = More stable reference line
Used for volume profile analysis and confluence scoring
Volume MA Length (Default: 50)
Period for calculating the volume moving average baseline
Range: 10-200 bars
Used to determine relative volume (current volume vs. average)
Shorter periods = More sensitive to volume changes
Longer periods = More stable volume baseline
High Volume Node Threshold (Default: 1.5)
Multiplier for identifying significant volume spikes
Range: 1.0-3.0
Values above this threshold mark high-volume nodes with diamond shapes
Lower values = More frequent high-volume signals
Higher values = Only extreme volume events marked
Momentum Divergence Settings
Enable Divergence Detection (Default: True)
Master switch for momentum divergence analysis
When disabled, removes divergence from confluence scoring
Significantly impacts signal generation quality
RSI Length (Default: 14)
Period for RSI calculation used in divergence detection
Range: 5-50
Standard RSI settings apply (14 is most common)
Shorter periods = More sensitive, more signals
Longer periods = Smoother, fewer but more reliable signals
MACD Settings
Fast (Default: 12): Fast EMA period for MACD calculation (5-50)
Slow (Default: 26): Slow EMA period for MACD calculation (10-100)
Signal (Default: 9): Signal line EMA period (3-20)
Standard MACD settings for divergence detection
Divergence Lookback (Default: 5)
Number of bars to look back when detecting divergences
Range: 3-20
Shorter periods = More frequent divergence signals
Longer periods = More significant divergence signals
Volume Analysis Enhancement Settings
Enable Advanced Volume Analysis (Default: True)
Master control for sophisticated volume calculations
Includes CVD, volume ROC, and large trade detection
Critical for signal accuracy
Cumulative Volume Delta Length (Default: 20)
Period for CVD smoothing calculation
Range: 10-100
Tracks buying vs. selling pressure over time
Shorter periods = More reactive to recent flows
Longer periods = Broader trend perspective
Volume ROC Length (Default: 10)
Period for Volume Rate of Change calculation
Range: 5-50
Measures volume acceleration/deceleration
Key component in volume confirmation requirements
Large Trade Volume Threshold (Default: 2.0)
Multiplier for identifying institutional-size trades
Range: 1.5-5.0
Trades above this threshold marked as large trades
Lower values = More frequent large trade signals
Higher values = Only extreme institutional activity
Advanced Price Action Settings
Enable Wyckoff Analysis (Default: True)
Activates simplified Wyckoff accumulation/distribution detection
Identifies potential smart money positioning
Important for high-quality signal generation
Enable Supply/Demand Zones (Default: True)
Identifies fresh supply and demand zones
Tracks zone strength based on subsequent price action
Enhances confluence scoring accuracy
Enable Liquidity Analysis (Default: True)
Detects liquidity sweeps and stop hunts
Identifies fake breakouts vs. genuine moves
Critical for avoiding false signals
Zone Strength Period (Default: 20)
Bars used to assess supply/demand zone strength
Range: 10-50
Longer periods = More thorough zone validation
Shorter periods = Faster zone assessment
Liquidity Sweep Threshold (Default: 0.5%)
Percentage move required to confirm liquidity sweep
Range: 0.1-2.0%
Lower values = More sensitive sweep detection
Higher values = Only significant sweeps detected
Sentiment and Flow Settings
Enable Sentiment Analysis (Default: True)
Master control for market sentiment calculations
Includes fear/greed index and regime classification
Important for market context assessment
Fear/Greed Period (Default: 20)
Calculation period for market sentiment indicator
Range: 10-50
Based on price volatility and momentum
Shorter periods = More reactive sentiment readings
Momentum Regime Length (Default: 50)
Period for determining overall market regime
Range: 20-100
Classifies market as Bull/Bear/Sideways
Longer periods = More stable regime classification
Trend Strength Length (Default: 30)
Period for ADX-like trend strength calculation
Range: 10-100
Measures directional momentum intensity
Used in signal filtering requirements
Advanced Signal Generation Settings
Enable Signal Filtering (Default: True)
Master control for premium signal generation system
When disabled, uses basic signal conditions
Highly recommended to keep enabled
Minimum Signal Confluence Score (Default: 80)
Required confluence score for signal generation
Range: 70-95
Higher values = Fewer but higher quality signals
Lower values = More frequent but potentially lower quality signals
Signal Cooldown (Default: 10 bars)
Minimum bars between signals of same type
Range: 5-50
Prevents signal spam and overtrading
Higher values = More conservative signal spacing
Require Volume Confirmation (Default: True)
Mandates volume requirements for signal generation
Requires 1.5x average volume + 25% volume ROC
Critical for signal quality
Require Momentum Confirmation (Default: True)
Mandates divergence detection for signals
Ensures momentum backing for directional moves
Essential for high-probability setups
Minimum Trend Strength (Default: 25)
Required ADX level for signal generation
Range: 15-40
Ensures signals occur in trending markets
Higher values = Only strong trending conditions
Confluence Scoring Settings
Minimum Confluence Score (Default: 70)
Threshold for displaying support/resistance levels
Range: 50-90
Levels below this score are filtered out
Higher values = Only strongest levels shown
Component Weights (Default: 25% each)
Divergence Weight: Momentum component influence (10-40%)
Volume Weight: Volume analysis influence (10-40%)
Price Action Weight: Price patterns influence (10-40%)
Sentiment Weight: Market sentiment influence (10-40%)
Must total 100% for balanced scoring
Vitality Field Settings
Enable Vitality Field (Default: True)
Controls the background gradient field display
Provides instant visual market sentiment feedback
Enhances chart readability and context
Vitality Center Transparency (Default: 85%)
Opacity at the center of the vitality field
Range: 70-95%
Lower values = More opaque center
Higher values = More transparent center
Vitality Edge Transparency (Default: 98%)
Opacity at the edges of the vitality field
Range: 95-99%
Creates smooth fade effect from center to edges
Higher values = More subtle edge appearance
Vitality Field Size (Default: 8.0)
Controls the overall size of the vitality field
Range: 3.0-20.0
Based on ATR multiples for dynamic sizing
Lower values = Tighter field around price
Higher values = Broader field coverage
Recommended Settings by Trading Style
Scalping (1-5 minutes)
Base Length: 15
Volume MA Length: 20
Signal Cooldown: 5 bars
Vitality Field Size: 5.0
Higher sensitivity for quick moves
Day Trading (15-60 minutes)
Base Length: 25 (default)
Volume MA Length: 50 (default)
Signal Cooldown: 10 bars (default)
Vitality Field Size: 8.0 (default)
Balanced settings for intraday moves
Swing Trading (4H-Daily)
Base Length: 50
Volume MA Length: 100
Signal Cooldown: 20 bars
Vitality Field Size: 12.0
Longer-term perspective for multi-day moves
Conservative Trading
Minimum Signal Confluence: 85
Minimum Confluence Score: 80
Require all confirmations: True
Higher thresholds for maximum quality
Aggressive Trading
Minimum Signal Confluence: 75
Minimum Confluence Score: 65
Signal Cooldown: 5 bars
Lower thresholds for more opportunities
MojoPivots Breakout Signals [DonnieMojo]The MojoPivots Breakout Indicator is a precision-engineered tool designed for traders seeking high-probability breakout opportunities using dynamic pivot structures and real-time volume imbalances.
Built on DonnieMojo’s breakout framework, this indicator analyzes market structure via custom MR (Major Resistance) and MS (Major Support) levels, dynamically derived from intraday volume profiles and statistical price expansion. It intelligently tracks and visualizes potential breakout zones, key "line-in-the-sand" levels, and take-profit targets (TP1, TP2, TP3) based on volatility-adjusted zones.
🔑 Core Features:
Breakout Signal Detection
Identifies potential bullish and bearish breakouts when price breaches predefined resistance (MR1) or support (MS1) levels with confirmation from volume dynamics.
Smart Take-Profit System
Targets are automatically mapped to MR2–MR4 and MS2–MS4, offering structured TP zones based on standard deviation thresholds.
Delta Zone Visuals
Color-coded fills display real-time buyer/seller dominance in each zone using an imbalance-weighted volume model.
VPOC "Sand Line"
The Volume Point of Control is plotted to show the session's key battle line for trend continuation or rejection.
Statistical Performance Panel
Live breakout stats with hit-rate bars (TP1/TP2/TP3) help you evaluate performance and adjust trade management.
🧪 Usage Tips:
Timeframe Sync: The default detection logic is based on 15-minute candles, but pivot zones are calculated from higher timeframes (2H by default). Adjust these in the settings to suit your strategy.
Entry Trigger: Wait for price to close below MS1 or above MR1 and breach it on the next bar to confirm a breakout signal.
TP Scaling: Use TP1 for conservative exits or scale out progressively at TP2 and TP3 for extended moves.
Volume Confirmation: Delta zone fills (green/red) help validate whether breakout levels are supported by buyer/seller strength — fade low-delta signals with caution.
Combine with Trend Filters: Enhance results by using MojoPivots alongside trend indicators like EMAs, ADX, or macro S/R.
Dynamic VWAP: Fair Value & Divergence SuiteDynamic VWAP: Fair Value & Divergence Suite
Dynamic VWAP: Fair Value & Divergence Suite is a comprehensive tool for tracking contextual valuation, overextension, and potential reversal signals in trending markets. Unlike traditional VWAP that anchors to the start of a session or a fixed period, this indicator dynamically resets the VWAP anchor to the most recent swing low. This design allows you to monitor how far price has extended from the most recent significant low, helping identify zones of potential profit-taking or reversion.
Deviation bands (standard deviations above the anchored VWAP) provide a clear visual framework to assess whether price is in a fair value zone (±1σ), moderately extended (+2σ), or in zones of extreme extension (+3σ to +5σ). The indicator also highlights contextual divergence signals, including slope deceleration, weak-volume retests, and deviation failures—giving you actionable confluence around potential reversal points.
Because the anchor updates dynamically, this tool is particularly well suited for trend-following assets like BTC or stocks in sustained moves, where price rarely returns to deep negative deviation zones. For this reason, the indicator focuses on upside extension rather than symmetrical reversion to a long-term mean.
🎯 Key Features
✅ Dynamic Swing Low Anchoring
Continuously re-anchors VWAP to the most recent swing low based on your chosen lookback period.
Provides context for trend progression and overextension relative to structural lows.
✅ Standard Deviation Bands
Plots up to +5σ deviation bands to visualize levels of overextension.
Extended bands (+3σ to +5σ) can be toggled for simplicity.
✅ Conditional Zone Fills
Colored background fills show when price is inside each valuation zone.
Helps you immediately see if price is in fair value, moderately extended, or highly stretched territory.
✅ Divergence Detection
VWAP Slope Divergence: Flags when price makes a higher high but VWAP slope decelerates.
Low Volume Retest: Highlights weak re-tests of VWAP on low volume.
Deviation Failure: Identifies when price reverts back inside +1σ after closing beyond +3σ.
✅ Volume Fallback
If volume is unavailable, uses high-low range as a proxy.
✅ Highly Customizable
Adjust lookbacks, show/hide extended bands, toggle fills, and enable or disable divergences.
🛠️ How to Use
Identify Buy and Sell Zones
Price in the fair value band (±1σ) suggests equilibrium.
Reaching +2σ to +3σ signals increasing overextension and potential areas to take profits.
+4σ to +5σ zones can be used to watch for exhaustion or mean-reversion setups.
Monitor Divergence Signals
Use slope divergence and deviation failures to look for confluence with overextension.
Low volume retests can flag rallies lacking conviction.
Adapt Swing Lookback
30–50 bars: Faster re-anchoring for swing trading.
75–100 bars: More stable anchors for longer-term trends.
🧭 Best Practices
Combine the anchored VWAP with higher timeframe structure.
Confirm signals with other tools (momentum, volume profiles, or trend filters).
Use extended deviation zones as context, not as standalone signals.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results.
ZenAlgo - AvengerThe ZenAlgo - Avenger indicator provides a multi-layered view of market behavior by combining volume delta analytics, trend-following EMAs, average price comparison, and price-volume profiling into a unified overlay. It is designed to visually assist traders in identifying areas of interest, momentum shifts, and potential reversals using cumulative data from both spot and perpetual markets.
Volume Delta Calculation
This indicator computes delta as the difference between estimated buy and sell volumes using volume data from multiple centralized exchanges. It distinguishes between spot and perpetual volumes, combining them into total volume.
To estimate buying and selling volume from raw volume data, candle structure is broken down into body and wicks. The body is interpreted as the core directional movement (buy/sell), while the wicks are treated as uncertain or counteraction. This segmentation helps infer the likely share of buying and selling within each bar.
The delta is calculated per bar and then aggregated over a lookback period (default 14 bars) to generate a cumulative delta. This approach provides a smoothed value of volume pressure trends over time.
A moving average is applied to the delta values (using selectable MA types like EMA or SMA) to define signal crossovers and suppress noise.
Delta Visualization
To contextualize delta within price action, the delta is scaled dynamically (by ATR or user-defined value) and plotted as a band around the closing price. Positive delta expands upward from price, negative delta downward. This provides a visual overlay that reflects net market pressure in context with price movement.
In cases of extreme delta (threshold set at 80% of recent maximum), the indicator marks spike bars using symbols to indicate significant directional pressure.
Identification of Noteworthy Conditions
The indicator highlights points on the chart where specific conditions are met based on the interaction between volume delta and its moving average. These conditions may align with moments of market pressure imbalance and directional movement, but they are not to be interpreted as trade signals in isolation.
Instead, these chart markers serve as visual flags for potential interest. They are intended to draw the user’s attention to scenarios where:
The delta crosses above or below its moving average, suggesting a potential shift in volume pressure.
The cumulative delta supports the direction of this crossover.
Optional filters can further restrict these markings to periods where:
The short-term trend (as inferred from EMA slope) supports the direction.
Volume is elevated relative to a recent average.
A user-defined cooldown period prevents multiple markings within short succession to avoid clutter.
It is essential to underscore that these markers do not constitute buy or sell advice . Their role is diagnostic , helping the trader to identify potential moments of interest which should be analyzed in conjunction with broader context, such as trend structure, price action, support/resistance levels, or external market data.
EMA Structure
Six EMAs with fixed lengths (13 to 56) are plotted and colored dynamically based on the most recent crossover between the fastest and slowest (EMA1 and EMA6). These EMAs help visualize short- to mid-term trends. The crossover itself is marked with symbols, with vertical offset based on ATR to maintain chart readability.
Average Line (AVG)
The indicator also calculates an average price based on a fixed window (100 bars). This is not a standard moving average but rather a raw average of recent prices stored in a circular buffer. The average is plotted, and its relative distance to the current price is labeled as a percentage. This feature serves as a simplified representation of fair value or mean reversion anchor.
EMA6 vs AVG Cross
Another layer of point of interest detection involves EMA6 crossing the AVG line. This crossover is only considered valid if EMA6 shows slope consistency in the crossing direction. These events are marked using symbols and offset vertically to avoid overlapping price action.
Divergence Detection
The script detects both regular and hidden divergences between price and delta:
Regular divergences are defined when price makes a higher high or lower low, while delta fails to confirm (makes a lower high or higher low).
Hidden divergences occur when price retraces (lower high or higher low), but delta moves against this retracement, indicating underlying strength or weakness.
Divergence points are labeled with "R" (regular) or "H" (hidden) and appear at local pivot highs or lows. The number of visible divergence labels can be limited for chart clarity.
POC and nPOC Calculations
The script includes a simplified volume profile implementation, calculating:
POC (Point of Control): the price level with the highest volume for the given period.
nPOC (non-tested POC): historical POCs that have not yet been revisited by price.
Price levels are bucketed into rows (user-defined), and volume per bucket is tracked to identify the POC. Upon a new period (e.g., day, week), a horizontal POC line is drawn. Once tested by price, the line’s appearance changes (color fades, label shrinks), helping users distinguish between untouched and touched levels.
Limits are enforced on the number of retained POCs and their maximum distance from current bars to optimize performance and chart readability.
Exchange Aggregation
Volume data is aggregated across major exchanges. This ensures that the delta calculation captures a broader market picture beyond a single venue, reducing exchange-specific noise.
How to Interpret Values
Delta Band: Wide bands indicate strong directional imbalance. Narrow bands suggest indecision or low volume.
EMA Crossover Symbols: Appear on directional shifts in moving averages. Multiple EMAs reinforcing the same slope typically indicate stronger trend.
AVG Line: Represents average price over recent history. Large deviations can indicate overextension or potential mean reversion.
Divergences: Regular ones may point to weakening momentum; hidden ones can suggest continuation despite corrective price action.
POC / nPOC: Key volume-based support/resistance levels. Untested nPOCs can act as magnets for price retests.
How to Best Use This Indicator
Use in conjunction with trend context (e.g., higher timeframe EMAs) to avoid counter-trend indications.
Treat delta spikes as caution zones—especially if they occur at known support/resistance.
Watch for divergences as early warning signs before price reverses.
Use POC/nPOC as target levels, especially if aligned with delta signals.
Apply volume and trend filters to reduce noise on shorter timeframes.
Added Value
Multi-exchange volume aggregation makes the delta calculation more robust.
Real-time cumulative delta overlaid directly on the price chart provides immediate context.
Points of interest on chart are conservative and filterable, intended to reduce false positives.
The combination of delta, trend-following EMAs, fair value line, and volume profile data is rarely found in one overlay script.
POC/nPOC visualization based on real traded volume helps identify high-interest zones for future price interaction.
Why Is It Worth Paying For
While free alternatives may provide partial insights (e.g., basic delta or single EMA crossovers), this indicator integrates multiple domains—delta, divergence, average price, trend overlays, and profile levels—into a coherent, optimized chart tool. The value lies not just in having these tools, but in how they are synchronized and visualized.
Furthermore, sourcing and synchronizing volume data from multiple exchanges for delta estimation is not straightforward in Pine Script and adds to the indicator's complexity and utility.
Disclaimers and Limitations
Delta estimation is based on candle structure and assumes wick/body distribution reflects buyer/seller activity, which may not always be precise.
Multi-exchange volume data relies on availability via TradingView’s request.security() function; if exchange data is missing or delayed, results may be incomplete.
Divergences do not guarantee reversals—should be used as part of a broader analysis framework.
On illiquid instruments or exotic pairs, the value of delta and volume-based analytics may be reduced due to unreliable volume.
Exponential Action Map (EAM)### **Exponential Action Map (EAM) – Description and Differences from VPVR**
The Exponential Action Map (EAM) indicator is a Pine Script-based volume profile indicator that offers **a weighted representation of buying and selling activity**. Unlike the standard **Volume Profile Visible Range (VPVR)**, which simply shows traded volume at various price levels, the EAM provides the following additional features:
1. **Exponential Weighting**:
- Instead of treating the volume of all considered bars equally, the EAM uses a **decay factor** to gradually diminish the significance of older data. This allows **more recent price movements to have greater influence**, making it particularly useful for short-term analysis.
2. **Exponential Stealth Move (ESM)**:
- In addition to buy and sell volume, the EAM calculates and displays the **Exponential Stealth Move (ESM)**.
- This measures the relative price movement compared to volume and highlights areas where **significant price changes occur with low volume**, which may indicate institutional activity or strong momentum.
- The ESM visualization is not present in VPVR, making it a distinct and valuable feature.
3. **Visualization Methodology**:
- Instead of simple histograms like in VPVR, volume is represented by **dynamic boxes** that encompass Buy (EBA), Sell (ESA), and Stealth Move (ESM) activities.
- The size and color of these boxes are **customizable**, allowing for clear differentiation between various volume types.
4. **Flexibility & Configuration**:
- Users can adjust parameters such as **Number of Bars, Decay Factor, Bar Width, and Maximum History Data**.
- The ability to **toggle historical data visibility** offers a **tailored view** that VPVR does not provide.
**Conclusion:** The EAM extends the classic volume profile (VPVR) by introducing **time-weighted volume analysis and detection of Stealth Moves (ESM)**. This not only highlights price levels with high trading volume but also reveals **price movements with low liquidity**, which can potentially indicate institutional interest.
Multiple AVWAP [OmegaTools]The Multiple AVWAP indicator is a sophisticated trading tool designed for professional traders who require precision in volume-weighted price tracking. This indicator allows for the deployment of multiple Anchored Volume Weighted Average Price (AVWAP) calculations simultaneously, offering deep insights into price movements, dynamic support and resistance levels, and trend structures across multiple timeframes.
This indicator caters to both institutional and retail traders by integrating flexible anchoring methods, multi-timeframe adaptability, and enhanced visualization features. It also includes deviation bands for statistical analysis, making it a comprehensive volume-based trading solution.
Key Features & Functionalities
1. Multiple AVWAP Configurations
Users can configure up to four distinct AVWAP calculations to track different market conditions.
Supports various anchoring methods:
Fixed: A traditional AVWAP that starts from a defined historical point.
Perpetual: A rolling VWAP that continuously adjusts over time.
Extension: An extension-based AVWAP that projects from past calculations.
High Volume: Anchors AVWAP to the highest volume bar within a specified period.
None: Option to disable AVWAP calculation if not required.
2. Advanced Deviation Bands
Implements standard deviation bands (1st and 2nd deviation) to provide a statistical measure of price dispersion from the AVWAP.
Serves as a dynamic method for identifying overbought and oversold conditions relative to VWAP pricing.
Deviation bands are customizable in terms of visibility, color, and transparency.
3. Multi-Timeframe Support
Users can assign different timeframes to each AVWAP calculation for macro and micro analysis.
Helps in identifying long-term institutional trading levels alongside short-term intraday trends.
4. Z-Score Normalization Mode
Option to standardize oscillator values based on AVWAP deviations.
Converts price movements into a statistical Z-score, allowing traders to measure price strength in a normalized range.
Helps in detecting extreme price dislocations and mean-reversion opportunities.
5. Customizable Visual & Aesthetic Settings
Fully customizable line colors, transparency, and thickness to enhance clarity.
Users can modify AVWAP and deviation band colors to distinguish between different levels.
Configurable display options to match personal trading preferences.
6. Oscillator Mode for Trend & Momentum Analysis
The indicator converts price deviations into an oscillator format, displaying AVWAP strength and weakness dynamically.
This provides traders with a momentum-based perspective on volume-weighted price movements.
User Guide & Implementation
1. Configuring AVWAPs for Optimal Use
Choose the mode for each AVWAP instance:
Fixed (set historical point)
Perpetual (rolling, continuously updated AVWAP)
Extension (projection from past AVWAP levels)
High Volume (anchored to highest volume bar)
None (disables the AVWAP line)
Adjust the length settings to fine-tune calculation sensitivity.
2. Utilizing Deviation Bands for Market Context
Activate deviation bands to see statistical boundaries of price action.
Monitor +1 / -1 and +2 / -2 standard deviation levels for extended price movements.
Consider price action outside of deviation bands as potential mean-reversion signals.
3. Multi-Timeframe Analysis for Institutional-Level Insights
Assign different timeframes to each AVWAP to compare:
Daily VWAP (institutional trading levels)
Weekly VWAP (swing trading trends)
Intraday VWAPs (short-term momentum shifts)
Helps identify where institutional liquidity is positioned relative to price.
4. Activating the Oscillator for Momentum & Bias Confirmation
The oscillator converts AVWAP deviations into a normalized value.
Use overbought/oversold levels to determine strength and potential reversals.
Combine with other indicators (RSI, MACD) for confluence-based trading decisions.
Trading Applications & Strategies
5. Trend Confirmation & Institutional VWAP Tracking
If price consistently holds above the primary AVWAP, it signals a bullish trend.
If price remains below AVWAP, it indicates selling pressure and a bearish trend.
Monitor retests of AVWAP levels for potential trend continuation or reversal.
6. Dynamic Support & Resistance Levels
AVWAP lines act as dynamic floating support and resistance zones.
Price bouncing off AVWAP suggests continuation, whereas breakdowns indicate a shift in momentum.
Look for confluence with high-volume zones for stronger trade signals.
7. Mean Reversion & Statistical Edge Trading
Prices that deviate beyond +2 or -2 standard deviations often revert toward AVWAP.
Mean reversion traders can fade extended moves and target AVWAP re-tests.
Helps in identifying exhaustion points in trending markets.
8. Institutional Liquidity & Volume Footprints
Institutions often execute large trades near VWAP zones, causing price reactions.
Tracking multi-timeframe AVWAP levels allows traders to anticipate key liquidity areas.
Use higher timeframe AVWAPs as macro support/resistance for swing trading setups.
9. Enhancing Momentum Trading with AVWAP Oscillator
The oscillator provides a momentum-based measure of AVWAP deviations.
Helps in confirming entry and exit timing for trend-following trades.
Useful for pairing with stochastic oscillators, MACD, or RSI to validate trade decisions.
Best Practices & Trading Tips
Use in Conjunction with Volume Analysis: Combine with volume profiles, OBV, or CVD for increased accuracy.
Adjust Timeframes Based on Trading Style: Scalpers can focus on short-term AVWAP, while swing traders benefit from weekly/daily AVWAP tracking.
Backtest Different AVWAP Configurations: Experiment with different anchoring methods and lookback periods to optimize trade performance.
Monitor Institutional Order Flow: Identify key VWAP zones where institutional traders may be active.
Use with Other Technical Indicators: Enhance trading confidence by integrating with moving averages, Bollinger Bands, or Fibonacci retracements.
Final Thoughts & Disclaimer
The Multiple AVWAP indicator provides a comprehensive approach to volume-weighted price tracking, making it ideal for professional traders. While this tool enhances market clarity and trade decision-making, it should be used as part of a well-rounded trading strategy with risk management principles in place.
This indicator is provided for informational and educational purposes only. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and due diligence before executing trades.
OmegaTools - Enhancing Market Clarity with Precision Indicators
Simplified Market ProfileVolume Bins: This script divides the price range into num_bins equal price levels. Each bin holds the cumulative volume for that price range.
Profile Length: The number of past bars that the profile considers for building the volume histogram.
Bin Size: The price range between bins is determined by dividing the difference between the highest and lowest prices over the specified range.
Volume Calculation: The script iterates over each bar within the specified range, determining which price bin the bar’s volume should be added to.
Plotting: The script visualizes the volume profile as lines plotted horizontally at different price levels, with thickness proportional to the volume traded at that level.
CVD - Cumulative Volume Delta (Chart)█ OVERVIEW
This indicator displays cumulative volume delta (CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise volume delta information compared to methods that only use the chart's timeframe.
The core concepts in this script come from our first CVD indicator , which displays CVD values as plot candles in a separate indicator pane. In this script, CVD values are scaled according to price ranges and represented on the main chart pane.
█ CONCEPTS
Bar polarity
Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change.
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed.
Volume delta
Volume delta is a measure that separates volume into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume and market sentiment. There are several methods for determining whether an asset's volume belongs in the "up" or "down" category. Some indicators, such as On Balance Volume and the Klinger Oscillator , use the change in price between bars to assign volume values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the volume value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available.
In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating volume delta on historical bars. Our Volume Profile indicators use it as well. Other volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis.
This is the logic we use to assign intrabar volume to the "up" or "down" category:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume to produce the volume delta for the chart bar.
█ FEATURES
CVD resets
The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume delta accumulation, we can analyze the progression of volume delta across manageable chunks, which is often more useful than looking at volume delta accumulated from the beginning of a chart's history.
You can configure the reset period using the "CVD Resets" input, which offers the following selections:
• None : Calculations do not reset.
• On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.
• At a fixed time that you specify.
• At the beginning of the regular session .
• On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .
• On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules:
Chart TF HTF
< 1min 1H
< 3H 1D
<= 12H 1W
< 1W 1M
>= 1W 1Y
Specifying intrabar precision
Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed.
The first five options allow users to specify the approximate amount of chart bars to be covered:
• Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.
This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.
• Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped LTF in relation to the current chart's timeframe.
• Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min LTF.
• Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min LTF.
The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows:
Chart Timeframe Lower Timeframe
Less Precise More Precise
< 1hr 1min 1min
< 1D 15min 1min
< 1W 2hr 30min
> 1W 1D 60min
The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible.
As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Display
This script displays raw or cumulative volume delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume activity on each bar or cumulatively over time. The indicator's background shows where CVD resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings.
This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input.
Divergences occur when the polarity of volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs.
An information box in the lower-left corner of the indicator displays the HTF used for resets, the LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings.
FOR Pine Script™ CODERS
• This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.
The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .
The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.
• The script utilizes display.data_window and display.status_line to restrict the display of certain plots.
These new built-ins allow coders to fine-tune where a script’s plot values are displayed.
• The newly added session.isfirstbar_regular built-in allows for resetting the CVD segments at the start of the regular session.
• The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.
These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.
This functionality also enables the scaling of the oscillator zones.
These variables are just a couple of the many new built-ins available in the chart.* namespace.
For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .
• Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting CVD segments within this script.
Revisit the library to see more of the newly added content!
Look first. Then leap.
Delta Volume Channels [LucF]█ OVERVIEW
This indicator displays on-chart visuals aimed at making the most of delta volume information. It can color bars and display two channels: one for delta volume, another calculated from the price levels of bars where delta volume divergences occur. Markers and alerts can also be configured using key conditions, and filtered in many different ways. The indicator caters to traders who prefer chart visuals over raw values. It will work on historical bars and in real time, using intrabar analysis to calculate delta volume in both conditions.
█ CONCEPTS
Delta Volume
The volume delta concept divides a bar's volume in "up" and "down" volumes. The delta is calculated by subtracting down volume from up volume. Many calculation techniques exist to isolate up and down volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available.
This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate volume delta on historical bars on our charts. TradingView's Volume Profile built-in indicators use it, as do the CVD - Cumulative Volume Delta Candles and CVD - Cumulative Volume Delta (Chart) indicators published from the TradingView account . My Volume Delta Columns Pro indicator also uses intrabar analysis. Other volume delta indicators such as my Realtime 5D Profile use realtime chart updates to achieve more precise volume delta calculations. Indicators of that type cannot be used on historical bars however; they only work in real time.
This is the logic I use to assign intrabar volume to up or down slots:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's volume determined, the up volumes are added and the down volumes subtracted. The resulting value is volume delta for that chart bar, which can be used as an estimate of the buying/selling pressure on an instrument.
Delta Volume Percent (DV%)
This value is the proportion that delta volume represents of the total intrabar volume in the chart bar. Note that on some symbols/timeframes, the total intrabar volume may differ from the chart's volume for a bar, but that will not affect our calculations since we use the total intrabar volume.
Delta Volume Channel
The DV channel is the space between two moving averages: the reference line and a DV%-weighted version of that reference. The reference line is a moving average of a type, source and length which you select. The DV%-weighted line uses the same settings, but it averages the DV%-weighted price source.
The weight applied to the source of the reference line is calculated from two values, which are multiplied: DV% and the relative size of the bar's volume in relation to previous bars. The effect of this is that DV% values on bars with higher total volume will carry greater weight than those with lesser volume.
The DV channel can be in one of four states, each having its corresponding color:
• Bull (teal): The DV%-weighted line is above the reference line.
• Strong bull (lime): The bull condition is fulfilled and the bar's close is above the reference line and both the reference and the DV%-weighted lines are rising.
• Bear (maroon): The DV%-weighted line is below the reference line.
• Strong bear (pink): The bear condition is fulfilled and the bar's close is below the reference line and both the reference and the DV%-weighted lines are falling.
Divergences
In the context of this indicator, a divergence is any bar where the slope of the reference line does not match that of the DV%-weighted line. No directional bias is assigned to divergences when they occur.
Divergence Channel
The divergence channel is the space between two levels (by default, the bar's low and high ) saved when divergences occur. When price has breached a channel and a new divergence occurs, a new channel is created. Until that new channel is breached, bars where additional divergences occur will expand the channel's levels if the bar's price points are outside the channel.
Prices breaches of the divergence channel will change its state. Divergence channels can be in one of five different states:
• Bull (teal): Price has breached the channel to the upside.
• Strong bull (lime): The bull condition is fulfilled and the DV channel is in the strong bull state.
• Bear (maroon): Price has breached the channel to the downside.
• Strong bear (pink): The bear condition is fulfilled and the DV channel is in the strong bear state.
• Neutral (gray): The channel has not been breached.
█ HOW TO USE THE INDICATOR
Load the indicator on an active chart (see here if you don't know how).
The default configuration displays:
• The DV channel, without the reference or DV%-weighted lines.
• The Divergence channel, without its level lines.
• Bar colors using the state of the DV channel.
The default settings use an Arnaud-Legoux moving average on the close and a length of 20 bars. The DV%-weighted version of it uses a combination of DV% and relative volume to calculate the ultimate weight applied to the reference. The DV%-weighted line is capped to 5 standard deviations of the reference. The lower timeframe used to access intrabars automatically adjusts to the chart's timeframe and achieves optimal balance between the number of intrabars inspected in each chart bar, and the number of chart bars covered by the script's calculations.
The Divergence channel's levels are determined using the high and low of the bars where divergences occur. Breaches of the channel require a bar's low to move above the top of the channel, and the bar's high to move below the channel's bottom.
No markers appear on the chart; if you want to create alerts from this script, you will need first to define the conditions that will trigger the markers, then create the alert, which will trigger on those same conditions.
To learn more about how to use this indicator, you must understand the concepts it uses and the information it displays, which requires reading this description. There are no videos to explain it.
█ FEATURES
The script's inputs are divided in four sections: "DV channel", "Divergence channel", "Other Visuals" and "Marker/Alert Conditions". The first setting is the selection method used to determine the intrabar precision, i.e., how many lower timeframe bars (intrabars) are examined in each chart bar. The more intrabars you analyze, the more precise the calculation of DV% results will be, but the less chart coverage can be covered by the script's calculations.
DV Channel
Here, you control the visibility and colors of the reference line, its weighted version, and the DV channel between them.
You also specify what type of moving average you want to use as a reference line, its source and length. This acts as the DV channel's baseline. The DV%-weighted line is also a moving average of the same type and length as the reference line, except that it will be calculated from the DV%-weighted source used in the reference line. By default, the DV%-weighted line is capped to five standard deviations of the reference line. You can change that value here. This section is also where you can disable the relative volume component of the weight.
Divergence Channel
This is where you control the appearance of the divergence channel and the key price values used in determining the channel's levels and breaching conditions. These choices have an impact on the behavior of the channel. More generous level prices like the default low and high selection will produce more conservative channels, as will the default choice for breach prices.
In this section, you can also enable a mode where an attempt is made to estimate the channel's bias before price breaches the channel. When it is enabled, successive increases/decreases of the channel's top and bottom levels are counted as new divergences occur. When one count is greater than the other, a bull/bear bias is inferred from it.
Other Visuals
You specify here:
• The method used to color chart bars, if you choose to do so.
• The display of a mark appearing above or below bars when a divergence occurs.
• If you want raw values to appear in tooltips when you hover above chart bars. The default setting does not display them, which makes the script faster.
• If you want to display an information box which by default appears in the lower left of the chart.
It shows which lower timeframe is used for intrabars, and the average number of intrabars per chart bar.
Marker/Alert Conditions
Here, you specify the conditions that will trigger up or down markers. The trigger conditions can include a combination of state transitions of the DV and the divergence channels. The triggering conditions can be filtered using a variety of conditions.
Configuring the marker conditions is necessary before creating an alert from this script, as the alert will use the marker conditions to trigger.
Markers only appear on bar closes, so they will not repaint. Keep in mind, when looking at markers on historical bars, that they are positioned on the bar when it closes — NOT when it opens.
Raw values
The raw values calculated by this script can be inspected using a tooltip and the Data Window. The tooltip is visible when you hover over the top of chart bars. It will display on the last 500 bars of the chart, and shows the values of DV, DV%, the combined weight, and the intermediary values used to calculate them.
█ INTERPRETATION
The aim of the DV channel is to provide a visual representation of the buying/selling pressure calculated using delta volume. The simplest characteristic of the channel is its bull/bear state. One can then distinguish between its bull and strong bull states, as transitions from strong bull to bull states will generally happen when buyers are losing steam. While one should not infer a reversal from such transitions, they can be a good place to tighten stops. Only time will tell if a reversal will occur. One or more divergences will often occur before reversals.
The nature of the divergence channel's design makes it particularly adept at identifying consolidation areas if its settings are kept on the conservative side. A gray divergence channel should usually be considered a no-trade zone. More adventurous traders can use the DV channel to orient their trade entries if they accept the risk of trading in a neutral divergence channel, which by definition will not have been breached by price.
If your charts are already busy with other stuff you want to hold on to, you could consider using only the chart bar coloring component of this indicator:
At its simplest, one way to use this indicator would be to look for overlaps of the strong bull/bear colors in both the DV channel and a divergence channel, as these identify points where price is breaching the divergence channel when buy/sell pressure is consistent with the direction of the breach. I have highlighted all those points in the chart below. Not all of them would have produced profitable trades, but nothing is perfect in the markets. Also, keep in mind that the circles identify the visual you would be looking for — not the trade's entry level.
█ LIMITATIONS
• The script will not work on symbols where no volume is available. An error will appear when that is the case.
• Because a maximum of 100K intrabars can be analyzed by a script, a compromise is necessary between the number of intrabars analyzed per chart bar
and chart coverage. The more intrabars you analyze per chart bar, the less coverage you will obtain.
The setting of the "Intrabar precision" field in the "DV channel" section of the script's inputs
is where you control how the lower timeframe is calculated from the chart's timeframe.
█ NOTES
Volume Quality
If you use volume, it's important to understand its nature and quality, as it varies with sectors and instruments. My Volume X-ray indicator is one way you can appraise the quality of an instrument's intraday volume.
For Pine Script™ Coders
• This script uses the new overload of the fill() function which now makes it possible to do vertical gradients in Pine. I use it for both channels displayed by this script.
• I use the new arguments for plot() 's `display` parameter to control where the script plots some of its values,
namely those I only want to appear in the script's status line and in the Data Window.
• I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual.
█ THANKS
To PineCoders . I have used their lower_tf library in this script, to manage the calculation of the LTF and intrabar stats, and their Time library to convert a timeframe in seconds to a printable form for its display in the Information box.
To TradingView's Pine Script™ team. Their innovations and improvements, big and small, constantly expand the boundaries of the language. What this script does would not have been possible just a few months back.
And finally, thanks to all the users of my scripts who take the time to comment on my publications and suggest improvements. I do not reply to all but I do read your comments and do my best to implement your suggestions with the limited time that I have.
Bitcoin Stalemate IndicatorThe Bitcoin Stalemate Indicator examines periods in the market defined by a combination of high volume and low price volatility. These periods are a bit like a tug-of-war with both sides applying a lot of force but the rope moving very little. Periods of high volume and low volatility suggest both sides of the trade are stuck in a stalemate. This indicator may be useful in identifying psychologically important price levels.
The mechanics of the indicator are fairly simple: the indicator takes the volume and divides it by the candle’s size over it’s close for that same period.
volume / ((high - low) / close)
Candles that move very little but with high volume will produce higher reads and vice versa. Finally a smoothing average is applied to clean up the noise.
Volume profiles from the top 6 exchanges are averaged in order to avoid a single exchange’s popularity acting as an overriding factor. Single exchanges can be isolated but are of lesser use. Heat map functionality is only active when all exchanges are selected.
CVD - Cumulative Volume Delta Candles█ OVERVIEW
This indicator displays cumulative volume delta in candle form. It uses intrabar information to obtain more precise volume delta information than methods using only the chart's timeframe.
█ CONCEPTS
Bar polarity
By bar polarity , we mean the direction of a bar, which is determined by looking at the bar's close vs its open .
Intrabars
Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar.
Lower timeframes (LTFs)
A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script uses a LTF to access intrabars. The lower the LTF, the more intrabars are analyzed, but the less chart bars can display CVD information because there is a limit to the total number of intrabars that can be analyzed.
Volume delta
The volume delta concept divides a bar's volume in "up" and "down" volumes. The delta is calculated by subtracting down volume from up volume. Many calculation techniques exist to isolate up and down volume within a bar. The simplest techniques use the polarity of interbar price changes to assign their volume to up or down slots, e.g., On Balance Volume or the Klinger Oscillator . Others such as Chaikin Money Flow use assumptions based on a bar's OHLC values. The most precise calculation method uses tick data and assigns the volume of each tick to the up or down slot depending on whether the transaction occurs at the bid or ask price. While this technique is ideal, it requires huge amounts of data on historical bars, which usually limits the historical depth of charts and the number of symbols for which tick data is available.
This indicator uses intrabar analysis to achieve a compromise between the simplest and most precise methods of calculating volume delta. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate volume delta on historical bars on our charts. Our Volume Profile indicators use it. Other volume delta indicators in our Community Scripts such as the Realtime 5D Profile use realtime chart updates to achieve more precise volume delta calculations, but that method cannot be used on historical bars, so those indicators only work in real time.
This is the logic we use to assign intrabar volume to up or down slots:
• If the intrabar's open and close values are different, their relative position is used.
• If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.
• As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used.
Once all intrabars making up a chart bar have been analyzed and the up or down property of each intrabar's volume determined, the up volumes are added and the down volumes subtracted. The resulting value is volume delta for that chart bar.
█ FEATURES
CVD Candles
Cumulative Volume Delta Candles present volume delta information as it evolves during a period of time.
This is how each candle's levels are calculated:
• open : Each candle's' open level is the cumulative volume delta for the current period at the start of the bar.
This value becomes zero on the first candle following a CVD reset.
The candles after the first one always open where the previous candle closed.
The candle's high, low and close levels are then calculated by adding or subtracting a volume value to the open.
• high : The highest volume delta value found in intrabars. If it is not higher than the volume delta for the bar, then that candle will have no upper wick.
• low : The lowest volume delta value found in intrabars. If it is not lower than the volume delta for the bar, then that candle will have no lower wick.
• close : The aggregated volume delta for all intrabars. If volume delta is positive for the chart bar, then the candle's close will be higher than its open, and vice versa.
The candles are plotted in one of two configurable colors, depending on the polarity of volume delta for the bar.
CVD resets
The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. This allows you to analyze the progression of volume delta across manageable chunks, which is often more useful than looking at volume delta cumulated from the beginning of a chart's history.
You can configure the reset period using the "CVD Resets" input, which offers the following selections:
• None : Calculations do not reset.
• On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.
• At a fixed time that you specify.
• At the beginning of the regular session .
• On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules:
Chart TF HTF
< 1min 1H
< 3H 1D
<= 12H 1W
< 1W 1M
>= 1W 1Y
The indicator's background shows where resets occur.
Intrabar precision
The precision of calculations increases with the number of intrabars analyzed for each chart bar. It is controlled through the script's "Intrabar precision" input, which offers the following selections:
• Least precise, covering many chart bars
• Less precise, covering some chart bars
• More precise, covering less chart bars
• Most precise, 1min intrabars
As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible.
Total volume candles
You can choose to display candles showing the total intrabar volume for the chart bar. This provides you with more context to evaluate a bar's volume delta by showing it relative to the sum of intrabar volume. Note that because of the reasons explained in the "NOTES" section further down, the total volume is the sum of all intrabar volume rather than the volume of the bar at the chart's timeframe.
Total volume candles can be configured with their own up and down colors. You can also control the opacity of their bodies to make them more or less prominent. This publication's chart shows the indicator with total volume candles. They are turned off by default, so you will need to choose to display them in the script's inputs for them to plot.
Divergences
Divergences occur when the polarity of volume delta does not match that of the chart bar. You can identify divergences by coloring the CVD candles differently for them, or by coloring the indicator's background.
Information box
An information box in the lower-left corner of the indicator displays the HTF used for resets, the LTF used for intrabars, and the average quantity of intrabars per chart bar. You can hide the box using the script's inputs.
█ INTERPRETATION
The first thing to look at when analyzing CVD candles is the side of the zero line they are on, as this tells you if CVD is generally bullish or bearish. Next, one should consider the relative position of successive candles, just as you would with a price chart. Are successive candles trending up, down, or stagnating? Keep in mind that whatever trend you identify must be considered in the context of where it appears with regards to the zero line; an uptrend in a negative CVD (below the zero line) may not be as powerful as one taking place in positive CVD values, but it may also predate a movement into positive CVD territory. The same goes with stagnation; a trader in a long position will find stagnation in positive CVD territory less worrisome than stagnation under the zero line.
After consideration of the bigger picture, one can drill down into the details. Exactly what you are looking for in markets will, of course, depend on your trading methodology, but you may find it useful to:
• Evaluate volume delta for the bar in relation to price movement for that bar.
• Evaluate the proportion that volume delta represents of total volume.
• Notice divergences and if the chart's candle shape confirms a hesitation point, as a Doji would.
• Evaluate if the progress of CVD candles correlates with that of chart bars.
• Analyze the wicks. As with price candles, long wicks tend to indicate weakness.
Always keep in mind that unless you have chosen not to reset it, your CVD resets for each period, whether it is fixed or automatically stepped. Consequently, any trend from the preceding period must re-establish itself in the next.
█ NOTES
Know your volume
Traders using volume information should understand the volume data they are using: where it originates and what transactions it includes, as this can vary with instruments, sectors, exchanges, timeframes, and between historical and realtime bars. The information used to build a chart's bars and display volume comes from data providers (exchanges, brokers, etc.) who often maintain distinct feeds for intraday and end-of-day (EOD) timeframes. How volume data is assembled for the two feeds depends on how instruments are traded in that sector and/or the volume reporting policy for each feed. Instruments from crypto and forex markets, for example, will often display similar volume on both feeds. Stocks will often display variations because block trades or other types of trades may not be included in their intraday volume data. Futures will also typically display variations.
Note that as intraday vs EOD variations exist for historical bars on some instruments, differences may also exist between the realtime feeds used on intraday vs 1D or greater timeframes for those same assets. Realtime reporting rules will often be different from historical feed reporting rules, so variations between realtime feeds will often be different from the variations between historical feeds for the same instrument. The Volume X-ray indicator can help you analyze differences between intraday and EOD volumes for the instruments you trade.
If every unit of volume is both bought by a buyer and sold by a seller, how can volume delta make sense?
Traders who do not understand the mechanics of matching engines (the exchange software that matches orders from buyers and sellers) sometimes argue that the concept of volume delta is flawed, as every unit of volume is both bought and sold. While they are rigorously correct in stating that every unit of volume is both bought and sold, they overlook the fact that information can be mined by analyzing variations in the price of successive ticks, or in our case, intrabars.
Our calculations model the situation where, in fully automated order handling, market orders are generally matched to limit orders sitting in the order book. Buy market orders are matched to quotes at the ask level and sell market orders are matched to quotes at the bid level. As explained earlier, we use the same logic when comparing intrabar prices. While using intrabar analysis does not produce results as precise as when individual transactions — or ticks — are analyzed, results are much more precise than those of methods using only chart prices.
Not only does the concept underlying volume delta make sense, it provides a window on an oft-overlooked variable which, with price and time, is the only basic information representing market activity. Furthermore, because the calculation of volume delta also uses price and time variations, one could conceivably surmise that it can provide a more complete model than ones using price and time only. Whether or not volume delta can be useful in your trading practice, as usual, is for you to decide, as each trader's methodology is different.
For Pine Script™ coders
As our latest Polarity Divergences publication, this script uses the recently released request.security_lower_tf() Pine Script™ function discussed in this blog post . It works differently from the usual request.security() in that it can only be used at LTFs, and it returns an array containing one value per intrabar. This makes it much easier for programmers to access intrabar information.
Look first. Then leap.
Market Profile Fixed ViewSome instruments does not provide any volume information, therefore, as a fixed volume profile user, I needed a fixed market profile indicator to use the same principles, regardless of whether the volumes are available or not.
This script draws a market profile histogram corresponding to price variations within a specific duration, you only need to specify Start and End date/time values to see the histogram on your chart.
Details
Two lines corresponding to highest/lowest prices are displayed around the histogram
The redline corresponds to the POC (point of control)
Options
Start calculation
End calculation
Bars number (histogram resolution, currently locked to a max value of 50 bars)
Display side/Width (allows to modify size of bars, to the left or to the right)
Bars/Borders/POC Color customization
Notes
This script will probably be updated (to add VAH/VAL zones, and maybe other options). However, some common market profile attributes have not been implemented yet since I don't really use them)
TIL Volume by Price SRTrading Indicator Lab's Volume by Price SR is a volume-based indicator for TradingView that reveals the strongest (and weakest) support and resistance levels in the chart among 12 price zones within a given period.
How It Works
The Volume by Price indicator uses a spectrum of blue to red colors to differentiate the strength of the volume within a price range for each bar. Think of it as a running volume profile with 12 price zones.
For each bar, the indicator calculates the rank of each price zone from the one that has the least number of volume to the highest within a given length of bars. Price zones that have less volume count are assigned colors that are closer to blue while price zones that have higher volume appear red. The indicator also marks the highest and lowest price levels in the rank with a red and blue dot which correspond to the same color code. The indicator repeats this in the next bar up to the last until it creates a stream of 12 lines that visually represent the gradual shift of volume strength in the price axis.
How to Use
The Volume by Price SR indicator is simple and can be used primarily to gauge support and resistance. Red lines represent price levels where there is a history of higher volume within the period, which also act as good support/resistance levels where price is more likely to be tested or bounce off.
As it can also be seen as a running volume profile indicator, the red and blue dots in each bar can be considered as high volume nodes (HVN) and low volume nodes (LVN) respectively. Though the calculation of the volume profile is continuous, the HVN and LVN dots can often appear consecutively or in a series within a single price level. The price tends to linger around or test lines that has the red dot (HVN). Meanwhile price rarely cross lines with the blue dot (LVN) or not spend as much time in these areas compared to other levels.
The height of the 12 price zones is determined by the difference between the highest high and lowest low of the period which can be useful in visualizing the chart's dynamic price range.
Inputs
- Length - sets the length of the period the indicator calculates for each bar
- Line Thickness - sets the thickness of the 12 lines all at once
- Dot Size - sets the size of the HVN and LVN dots
Multi Time Frame Trend, Volume and Momentum ProfileWHAT DOES THIS INDICATOR DO?
I created this indicator to address some of the significant inconveniences when analyzing a security, such as continually switching between different time frames to determine the trend and potential pullbacks, adding volume or volume-derived indicators, and finally, something that would help me determine the strength of the trend (maybe two additional indicators here). So I decided to code this all-in-one indicator that you can add multiple times to your chart depending on the settings you want to use, or just optimize the parameters for the particular asset and then switch between the options.
As the name suggests, it consists of three main sections - Trend , Volume , and Momentum . You have complete control over the parameters, including the Time Frames you want to use for each one (they can be different). So, let me explain each section in more detail.
HOW DOES THE INDICATOR WORK?
1. Trend Settings
In order to determine the trend, you need to set up two Moving Averages. You have a wide choice here - SMA, EMA, WMA, RMA, HMA, DEMA, TEMA, VWMA, and ALMA. Since the indicator does not plot the moving averages on the chart, I strongly suggest using this indicator along with the free "Trend Indicator for Directional Trading(main)" , which you can find in the Public Library. Once you set up the Trend Resolution, the Types of MAs, and their lengths, the indicator will generate a histogram of their convergences and divergences.
The change in colors should help you more easily determine the trend:
a) Bright Green - bull trend and price trending up (a good place to open long)
b) Dark Green - bull trend and price trending down (stay flat or open a long position with great caution)
c) Bright Red - bear trend and price trending down (a good place to open short)
d) Dark Red - bear trend and price trending up (stay flat or open a short position with great caution)
e) In addition, you can change the color palette to reflect the bull/bear trend momentum by scrolling to the bottom and selecting "Color Based on Bull/Bear Momentum", but I will discuss this in more detail below.
This part of the indicator is useful for opening a trade in the direction of the trend or for spotting a potential divergence. Both cases are illustrated below.
2. Volume Settings
The calculations for this part of the indicator are partially taken from "Multi Time Frame Effective Volume Profile" . I will quickly outline the specifics here, but if you want a more thorough understanding of how it works, please check the description of the MTF Effective Volume Profile indicator .
You have three elements with the following default settings - Resolution (5-min), Lookback (100), and Average (1). This means that the indicator will analyze the last one hundred 5-min bars and will plot a sum of only those that are at least 1 times bigger than the average. Those that are smaller than the average will be left out from the calculation. What you get is a trend line showing you accumulation/distribution based on modified volume parameters.
This part of the indicator is useful for spotting exhaustions and increased buying/selling volume that is opposite to the price trend. As you will see in the picture below, in frame 1 the selling pressure is decreasing, while buying volume is increasing. At one point supply dries out and the bulls take control, thus reverting the price. In frame 2, however, you can see that the higher high is not met with nearly as much buying volume as in the previous peak, showing that the bulls are exhausted and maybe a trend change will follow or at the very least that the bull trend will take a break.
3. Momentum Settings
The final part is an RSI smoothed through a Moving Average with the addition of some minor optimizations. Thus, the parameters you have to configure here aside from the resolution are the RSI length, the moving average that will be used, and its length. Out of the three, this is the most lagging component, but it's also the most accurate one. I must mention that due to the modified nature of this RSI, overbought and oversold levels carry less weight to the trading signals. Rather, pay attention to the change of colors, as they do so when the RSI changes direction based on preset parameters. The picture below shows such instances.
4. Additional Settings
This section consists of 4 elements:
a) Length of Trend - filters out the noise and gives a signal only when the trend becomes more established
b) ADX Threshold - filters out trading ranges and indecision zones when it's not recommended to open a trade
c) Select Analysis - choose what part of the indicator you want to see from a drop-down menu
d) Color Based on Bull/Bear Momentum - a global setting that will override the preset coloring of each indicator and will replace it with colors based on bull/bear strength and momentum - green for bulls, red for bears, and gray for non-trading zones.
The last part of this indicator is a combination of all of the above and is called a Points-Based System . It generates 3 rows of dots that go light green when bull criteria are met, orange when bear criteria are met, or gray when it's neither of the two. When you get a column of 3 green dots you get a buy signal. Similarly, a column of 3 orange dots gives you a sell signal. Grey zones are non-tradeable. It goes without saying that the frequency and quality of the signals you get will almost entirely depend on your settings, so feel free to experiment and adjust the indicator to catch the best moves for the given security.
In terms of indicator adjustments, I have left almost every part open to configuration. That is 15 parameters and 35 adjustable colors.
HOW MUCH DOES THE INDICATOR COST ?
As much as I would like to offer it for free (as some of my other ones), a great deal of work, trading logic, and testing have gone into creating this indicator. More than a few hundred iterations and a few dozen branches were required to reach the end result which is a precise combination of usefulness, simplicity, and practicality. Furthermore, this indicator will continue to be updated and user-requested features that improve its performance will be added.
Disclaimer: The purpose of all indicators is to indicate potential setups, which may lead to profitable results. No indicator is perfect and certainly, no indicator has a 100% success rate. They are subject to flaws, wrongful interpretation, bugs, etc. This indicator makes no exception. It must be used with a sound money management plan that puts the main emphasis on protecting your capital. Please, do not rely solely on any single indicator to make trading decisions instead of you. Indicators are storytellers, not fortune tellers. They help you see the bigger picture, not the future.
To find out more about how to gain access to this indicator, please use the provided information below or just message me. Thank you for your time.
Trendlines & SR ZonesIt's a comprehensive indicator (Pine Script v6) that represents two powerful technical analysis tools: automatic trendline detection based on pivot points and volume delta analysis with support/resistance zone identification. This overlay indicator helps traders identify potential trend directions and key price levels where significant buying or selling pressure has occurred.
Features: =
1. Price Trendlines
The indicator automatically identifies and draws trendlines based on pivot points, creating dynamic support and resistance levels.
Key Components:
Pivot Detection: Uses configurable left and right bars to identify significant pivot highs and lows
Trendline Filtering: Only draws downward-sloping resistance trendlines and upward-sloping support trendlines
Zone Creation: Creates filled zones around trendlines based on average price volatility
Automatic Management: Maintains only the 3 most recent significant trendlines to avoid chart clutter
Customization Options:
Left/Right Bars for Pivot: Adjust sensitivity of pivot detection (default: 10 bars each side)
Extension Length: Control how far trendlines extend past the second pivot (default: 50 bars)
Average Body Periods: Set the lookback period for volatility calculation (default: 100)
Tolerance Multiplier: Adjust the width of the trendline zones (default: 1.0)
Color Customization: Separate colors for high (resistance) and low (support) trendlines and their fills
2. Volume Delta % Bars
The indicator analyzes volume distribution across price levels to identify significant supply and demand zones.
Key Components:
Volume Profile Analysis: Divides the price range into rows and calculates volume delta at each level
Delta Visualization: Displays horizontal bars showing the percentage difference between buying and selling volume
Zone Identification: Automatically identifies the most significant supply and demand zones
Visual Integration: Connects volume delta bars with corresponding support/resistance zones on the price chart
Customization Options:
Lookback Period: Set the number of bars to analyze for volume (default: 200)
Price Rows: Control the granularity of the volume analysis (default: 50 rows)
Delta Sections: Adjust the number of horizontal delta bars displayed (default: 20)
Panel Appearance: Customize width, position, and direction of the delta panel
Zone Settings: Control the number of supply/demand zones and their extension (default: 3 zones)
How It Works-
Trendline Logic:
The script continuously scans for pivot highs and lows based on the specified left and right bars
When a pivot is detected, it creates a horizontal line at that price level
The script then looks for the previous pivot of the same type (high or low)
It connects these pivots with a trendline, extending it based on the user-specified setting
A parallel line is created to form a zone, with the distance based on average price volatility
The script filters out invalid trendlines (upward-sloping resistance and downward-sloping support). Only the 3 most recent trendlines are maintained to prevent chart clutter
Volume Delta Logic:
The script divides the price range over the lookback period into the specified number of rows
For each bar in the lookback period, it categorizes volume as bullish (close > open) or bearish (close < open). This volume is assigned to the appropriate price level based on the HLC3 price.
The price levels are grouped into sections, and the net delta (bullish - bearish volume) is calculated for each Horizontal bars are drawn to represent these delta percentages.
The most significant positive and negative deltas are identified and displayed as support and resistance zones. These zones are extended to the left on the price chart and connected to the delta panel with dotted lines.
Ideal Timeframes:
The indicator is versatile and can be used across multiple timeframes, but it performs optimally on specific timeframes depending on your trading style:
For Day Trading:
Optimal Timeframes: 15-minute to 1-hour charts
Why: These timeframes provide a good balance between noise reduction and sufficient volume data. The volume delta analysis is particularly effective on these timeframes as it captures intraday accumulation/distribution patterns while the trendlines remain reliable enough for intraday trading decisions.
For Swing Trading:
Optimal Timeframes: 1-hour to 4-hour charts
Why: These timeframes offer the best combination of reliable trendline formation and meaningful volume analysis. The trendlines on these timeframes are less prone to whipsaws, while the volume delta analysis captures multi-day trading sessions and institutional activity.
For Position Trading:
Optimal Timeframes: Daily and weekly charts
Why: On these higher timeframes, trendlines become extremely reliable as they represent significant market structure points. The volume delta analysis reveals longer-term accumulation and distribution patterns that can define major support and resistance zones for weeks or months.
Timeframe-Specific Adjustments:
Lower Timeframes (1-15 minutes):
Reduce left/right bars for pivots (5-8 bars)
Decrease lookback period for volume delta (50-100 bars)
Increase tolerance multiplier (1.2-1.5) to account for higher volatility
Higher Timeframes (Daily+):
Increase left/right bars for pivots (15-20 bars)
Extend lookback period for volume delta (300-500 bars)
Consider increasing the number of price rows (70-100) for more detailed volume analysis
Usage Guidelines-
For Trendline Analysis:
Use the trendlines as dynamic support and resistance levels
Price reactions at these levels can indicate potential trend continuation or reversal points
The filled zones around trendlines represent areas of price volatility or uncertainty
Consider the slope of the trendline as an indication of trend strength
For Volume Delta Analysis:
The horizontal delta bars show where buying or selling pressure has been concentrated
Green bars indicate areas where buying volume exceeded selling volume (demand)
Red bars indicate areas where selling volume exceeded buying volume (supply)
The highlighted supply and demand zones on the price chart represent significant price levels
These zones can act as future support or resistance areas as price revisits them
Customization Tips:
Trendline Sensitivity: Decrease left/right bars values to detect more pivots (more sensitive) or increase them for fewer, more significant pivots
Zone Width: Adjust the tolerance multiplier to make trendline zones wider or narrower based on your trading style
Volume Analysis: Increase the lookback period for a longer-term volume profile or decrease it for more recent activity
Visual Clarity: Adjust colors and transparency settings to match your chart theme and preferences
Conclusion:
This indicator provides traders with a comprehensive view of both trend dynamics and volume-based support/resistance levels. With these two analytical approaches, the indicator offers valuable insights for identifying potential entry and exit points, trend strength, and key price levels where significant market activity has occurred. The extensive customization options allow traders to adapt the indicator to various trading styles and timeframes, with optimal performance on 15-minute to daily charts depending on their trading horizon.
Chart Attached: NSE HINDZINC, EoD 12/12/25
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
SMC Pro+ ICT v4 Enhanced - FINAL🎯 SMC Pro+ ICT v4 Enhanced - Complete Smart Money Trading System📊 Professional All-in-One Indicator for Smart Money Concepts & ICT MethodologyThe SMC Pro+ ICT v4 Enhanced is a comprehensive trading system that combines Smart Money Concepts (SMC) with Inner Circle Trader (ICT) methodology. This indicator provides institutional-grade market structure analysis, liquidity mapping, and volume profiling in one powerful package.✨ CORE FEATURES🏗️ Advanced Market Structure Detection
MSS (Market Structure Shift) - Identifies major trend reversals with precision
BOS (Break of Structure) - Confirms trend continuation moves
CHoCH (Change of Character) - Detects internal structure shifts
Modern LuxAlgo-Style Lines - Clean, professional visualization
Dual Sensitivity System - External structure (major swings) + Internal structure (minor swings)
Customizable Labels - Tiny, Small, or Normal sizes
Structure Break Visualization - Clear break point markers
💎 Supply & Demand Zones (POI - Point of Interest)
Institutional Order Blocks - Where smart money enters/exits
ATR-Based Zone Sizing - Dynamically adjusted to market volatility
Smart Overlap Detection - Prevents cluttered charts
Historical Zone Tracking - Maintains up to 50 zones
POI Central Lines - Pinpoint entry/exit levels
Auto-Extension - Zones extend to current price
Auto-Cleanup - Removes broken zones automatically
📦 Fair Value Gap (FVG) Detection
Bullish & Bearish FVGs - Institutional inefficiencies
Consequent Encroachment (CE) - 50% fill levels
Auto-Delete Filled Gaps - Keeps charts clean
Customizable Lookback - 1-30 days of history
Color-Coded Zones - Easy visual identification
CE Line Styles - Dotted, Dashed, or Solid
🚀 Enhanced PVSRA Volume Analysis
This is one of the most powerful features:
200% Volume Candles - Extreme institutional activity (Lime/Red)
150% Volume Candles - High institutional interest (Blue/Fuchsia)
Volume Climax Detection - Major reversal signals with 2.5x+ volume
Exhaustion Signals - Identifies buying/selling exhaustion with high accuracy
Enhanced Volume Divergence - NEW! High-quality reversal detection
Price makes lower low, Volume makes higher low = Bullish Divergence
Price makes higher high, Volume makes lower high = Bearish Divergence
Strict trend context filtering for accuracy
Rising/Falling Volume Patterns - Momentum confirmation (allows 1 exception in 3 bars)
Volume Spread Analysis - Price range × Volume for true strength
Body/Wick Ratio Analysis - Candle structure quality
ATR Normalization - Adjusts for different market volatility
Volume Profile Indicators - 🔥 EXTREME, ⚡ VERY HIGH, 📈 HIGH, ✅ ABOVE AVG
💧 Advanced Liquidity System
Smart money targets these levels:
Weekly High/Low Liquidity - Major institutional targets
Daily High/Low Liquidity - Intraday key levels
4H Session Liquidity - Short-term targets
Distance Indicators - Shows % distance from current price
Strength Indicators - Identifies high-probability sweeps
Swept Level Detection - Tracks executed liquidity grabs
Customizable Line Styles - Width, length, offset controls
Color-Coded Levels - Easy visual hierarchy
🎯 Master Bias System
Data-driven directional bias with 9-factor scoring:
Bull/Bear Bias Calculation - 0-100% scoring system
Multi-Timeframe Analysis - Daily, 4H, 1H trend alignment
Kill Zone Integration - London (2-5 AM) & NY (8-11 AM) sessions
EMA Alignment Factor - Trend confirmation
Volume Confirmation - Adds 5% when volume supports direction
Range Filter Integration - Adds 10% for trending markets
Session Context - Above/below session midpoint scoring
Bias Strength Rating - STRONG (>75%), MODERATE (60-75%), WEAK (<60%)
Real-Time Updates - Dynamic recalculation
📈 Premium & Discount Zones
Fibonacci-based institutional pricing:
Extreme Premium - Above 78.6% (Overvalued)
Premium Zone - 61.8% - 78.6% (Expensive)
Equilibrium - 38.2% - 61.8% (Fair Value)
Discount Zone - 21.4% - 38.2% (Cheap)
Extreme Discount - Below 21.4% (Undervalued)
Visual Zone Boxes - Color-coded for instant recognition
200-500 Bar Lookback - Customizable range calculation
🔄 Range Filter
Advanced trend detection:
Smoothed Range Calculation - Eliminates noise
Dynamic Support/Resistance - Auto-adjusting levels
Upward/Downward Counters - Measures trend strength
Color-Coded Line - Green (uptrend), Red (downtrend), Orange (ranging)
Adjustable Period - 1-200 bars
Multiplier Control - Fine-tune sensitivity (0.1-10.0)
🌊 Liquidity Zones (Vector Zones)
PVSRA-based horizontal liquidity:
Above Price Zones - Resistance clusters
Below Price Zones - Support clusters
Maximum 500 Zones - Professional-grade capacity
Body/Wick Definition - Choose zone boundaries
Auto-Cleanup - Removes cleared zones
Color Override - Custom styling options
Transparency Control - 0-100% opacity
📊 EMA System
Triple EMA trend confirmation:
Fast EMA (9) - Green line - Immediate trend
Medium EMA (21) - Blue line - Short-term trend
Slow EMA (50) - Red line - Major trend
EMA Alignment Detection - Bull/Bear stack confirmation
Dashboard Integration - Status: 📈 BULL ALIGN, 📉 BEAR ALIGN, 🔀 MIXED
Adjustable Lengths - Customize all three EMAs (5-200)
🎯 IDM (Institutional Decision Maker) Levels
Key institutional price levels:
Latest IDM Detection - 20-bar pivot lookback
Extended Lines - Projects 50 bars into future
Customizable Styles - Solid, Dashed, or Dotted
Line Width Control - 1-5 pixels
Color Selection - Match your chart theme
Price Label - Shows exact level with tick precision
📱 Professional Dashboard
Real-time market intelligence panel:
🎯 SIGNAL - 🟢 LONG, 🔴 SHORT, ⏳ WAIT, 🛑 NO TRADE
🎲 BIAS - Bull/Bear with STRONG/MODERATE/WEAK rating
📊 BULL/BEAR Scores - 0-100% percentage display
💎 ZONE - Current premium/discount location
🕐 KZ - Kill Zone status (🇬🇧 LONDON/🇺🇸 NY/⏸️ OFF)
🏗️ STRUCT - Market structure status (BULLISH/BEARISH/NEUTRAL)
⚡ EVENT - Last structure event (MSS/BOS)
⚡ INT - Internal structure trend
🎯 IDM - Latest institutional level
📊 EMA - EMA alignment status
🔄 RF - Range Filter direction
📊 PVSRA - Volume status (🚀 CLIMAX/📈 RISING/📉 FALLING)
📅 MTF - Multi-timeframe alignment (✅ FULL/⚠️ PARTIAL/❌ CONFLICT)
💪 CONF - Confidence score (0-100%)
📊 VOL - Volume ratio (e.g., 1.8x average)
Advanced Metrics (Toggle On/Off):
📏 RSI - Value + Status (OVERBOUGHT/STRONG/NEUTRAL/WEAK/OVERSOLD)
📈 MACD - Value + Direction (BULL/BEAR)
🌪️ VOL - Volatility state (⚠️ EXTREME/🔥 HIGH/📊 NORMAL/😴 LOW)
🔊 VOL PROF - Volume profile ratio
⏱️ TF - Current timeframe
Dashboard Customization:
4 Positions - Top Left, Top Right, Bottom Left, Bottom Right
3 Sizes - Small, Normal, Large
2 Modes - Compact (MTF combined) or Full (separate rows)
Professional Design - Dark theme with color-coded cells
🎮 TRADING SIGNALS & SETUP SCORING🟢 LONG Setup Requirements (9-Factor Confidence Score)
MTF Alignment - Daily/4H/1H/Structure all bullish (+2 points for full, +1 for partial)
Volume Confirmation - Above 1.2x average (+1 point)
Structure Event - MSS or BOS bullish (+2 points)
EMA Alignment - 9 > 21 > 50 (+1 point)
Kill Zone Active - London/NY + Bull bias >75% (+2 points)
Bias Match - Master bias matches structure trend (+1 point)
Confidence Threshold - >60% minimum for signal
🔴 SHORT Setup Requirements
Same 9-factor system but inverted for bearish conditions.💪 Confidence Levels
75-100% - ⭐ HIGH CONFIDENCE (Strong setup, all factors aligned)
50-74% - ⚠️ MODERATE (Good setup, partial alignment)
0-49% - ❌ LOW CONFIDENCE (Wait for better setup)
🎯 Signal Output
🟢 LONG - Bull bias + Bullish structure + >60% confidence
🔴 SHORT - Bear bias + Bearish structure + >60% confidence
⏳ WAIT LONG - Bull bias but low confidence
⏳ WAIT SHORT - Bear bias but low confidence
🛑 NO TRADE - Neutral bias or conflicting signals
🔔 COMPREHENSIVE ALERT SYSTEM (12 Alerts)Structure Alerts
⚡ MSS Bullish - Major bullish reversal
⚡ MSS Bearish - Major bearish reversal
📈 BOS Bullish - Bullish continuation
📉 BOS Bearish - Bearish continuation
⚠️ CHoCH Bullish - Internal bullish shift
⚠️ CHoCH Bearish - Internal bearish shift
Bias & Confidence Alerts
🟢 Bias Shift Bull - Master bias turns bullish
🔴 Bias Shift Bear - Master bias turns bearish
⭐ High Confidence - Setup reaches 75%+ confidence
Volume Alerts (High Probability)
🚀 Volume Climax Buy - Extreme bullish volume spike
💥 Volume Climax Sell - Extreme bearish volume spike
⚠️ Selling Exhaustion - Potential bullish reversal
⚠️ Buying Exhaustion - Potential bearish reversal
📊 Bullish Volume Divergence - High-quality bullish reversal signal
📊 Bearish Volume Divergence - High-quality bearish reversal signal
🎨 EXTENSIVE CUSTOMIZATIONColors & Styling
✅ All colors customizable for every component
✅ Supply/Demand zone colors + outlines
✅ FVG colors (bullish/bearish)
✅ PVSRA candle colors (6 types)
✅ Liquidity level colors (Weekly/Daily/4H/Swept)
✅ Structure line colors
✅ Premium/Equilibrium/Discount zone colorsDisplay Controls
✅ Toggle each feature on/off independently
✅ Adjustable sensitivities (Structure: 5-30, Internal: 3-15)
✅ Label size controls (Tiny/Small/Normal)
✅ Line width adjustments (1-5 pixels)
✅ Transparency controls (0-100%)
✅ Extension lengths (20-100 bars)
✅ Lookback periods (50-500 bars)Volume Settings
✅ PVSRA symbol override (trade one asset, analyze another)
✅ Climax threshold (2.0-5.0x)
✅ Rising volume bar count (2-5 bars)
✅ Divergence filters (Strict/Lenient)
✅ Divergence minimum bars (10-30)
✅ Volume threshold multiplier (1.0-2.0x)Dashboard Settings
✅ Position (4 corners)
✅ Size (Small/Normal/Large)
✅ Compact/Full mode
✅ Show/Hide advanced metrics
✅ Show/Hide EMA status💡 BEST PRACTICES & USAGE TIPS⏰ Optimal Timeframes
Scalping - 1m, 5m (Use Kill Zones, Volume Climax, FVG)
Day Trading - 5m, 15m, 1H (Use Structure, Liquidity, Bias)
Swing Trading - 4H, Daily (Use MTF, Premium/Discount, Structure)
Position Trading - Daily, Weekly (Use major structure, liquidity)
🎯 Asset Classes
✅ Forex - All pairs (especially majors during Kill Zones)
✅ Crypto - BTC, ETH, altcoins (24/7 liquidity)
✅ Stocks - All stocks and indices (use session times)
✅ Commodities - Gold, Silver, Oil (high volume periods)
✅ Indices - S&P 500, NASDAQ, DAX, etc.🔥 High-Probability Setups
The Perfect Storm
MSS in direction of daily trend
Kill Zone active
Volume climax
Confidence >75%
Price in discount (long) or premium (short)
Volume Divergence Play
Enhanced volume divergence signal
CHoCH confirms direction change
Price near liquidity level
FVG forms for entry
Liquidity Sweep
Price sweeps weekly/daily high/low
Immediate rejection (selling/buying exhaustion)
Structure shift (MSS)
Volume confirmation
Structure Retest
BOS breaks structure
Price returns to POI/FVG
Volume confirms (>1.2x)
Kill Zone active
📊 Multi-Timeframe Analysis
Higher Timeframe - Identify trend & structure (Daily/4H)
Trading Timeframe - Find entries (15m/1H)
Lower Timeframe - Precise entries (1m/5m)
Look for MTF alignment - Dashboard shows ✅ FULL or ⚠️ PARTIAL
⚠️ Risk Management
Always use stop-loss (below/above recent structure)
Position size: 1-2% risk per trade
Target liquidity levels for take profit
Use supply/demand zones for SL placement
Watch for exhaustion signals near targets
RSI Candles Pro [MTF]**RSI Candles Pro**
## **Overview**
The RSI Candles Pro indicator provides an advanced framework for visualizing RSI momentum through candlestick representation, structural analysis, and multi-dimensional confirmation signals. Unlike conventional RSI oscillators that display only a line plot, this system transforms RSI into a complete OHLC candlestick chart with integrated strength metrics, structural break detection, divergence analysis, and dynamic support/resistance mapping.
Each element adapts continuously to RSI behavior, offering traders a living map of momentum shifts, structural changes, and reversal potential. The indicator doesn't simply show overbought/oversold conditions—it quantifies momentum strength, tracks structural breaks, detects price-RSI divergences, and projects key inflection levels with precision.
The result is a comprehensive, momentum-aware representation of market structure:
- **RSI OHLC Candles** visualize momentum direction, strength, and conviction through candlestick patterns with dynamic color intensity.
- **Strength Scoring System** quantifies momentum conviction using distance from neutral, momentum acceleration, and candle body characteristics.
- **RSI Structure Lines & Zones** connect swing highs and lows, creating visual support/resistance zones within RSI space.
- **Break of Structure (BOS) Detection** identifies decisive momentum shifts when RSI breaks previous structural levels, complete with projected support/resistance lines.
- **Auto Pivot Horizontal Lines** dynamically map key RSI levels where price repeatedly reacts, serving as momentum inflection zones.
- **Divergence Detection** captures classic bullish and bearish divergences between price action and RSI behavior, flagging potential reversal conditions.
Unlike static RSI line plots or simple zone highlighting, RSI Candles Pro fuses candlestick visualization with structural awareness, strength quantification, and divergence analysis to provide a clear, multi-dimensional picture of momentum dynamics and potential turning points.
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## **Theoretical Foundation**
The RSI Candles Pro indicator builds on principles of **momentum oscillation theory**, **structural market analysis**, and **divergence recognition**—concepts widely used by technical analysts to identify trend strength, exhaustion, and reversal conditions.
Standard RSI indicators display momentum as a single line crossing threshold levels, but this approach ignores critical dimensions: **momentum strength**, **structural context**, and **rate of change acceleration**. This indicator recognizes that RSI behavior can be decomposed into candlestick patterns that reveal conviction, hesitation, and reversal signals just as price candles do.
At its core are six interacting components:
### **1. RSI OHLC Candlestick Construction**
The indicator calculates RSI independently for open, high, low, and close prices within each bar, creating true RSI candlesticks rather than a single-line plot. This reveals:
- **Momentum direction** (bullish vs. bearish candles)
- **Momentum volatility** (wick length shows RSI range)
- **Momentum conviction** (body size indicates decisiveness)
- **Indecision patterns** (doji candles signal momentum exhaustion)
### **2. Strength Scoring Algorithm**
A composite strength score quantifies momentum conviction by analyzing three factors:
- **Distance from neutral (50 level)**: Greater distance indicates stronger directional bias
- **Momentum acceleration**: Rate of RSI change over recent bars reveals building or fading momentum
- **Body-to-range ratio**: Larger bodies relative to total candle range show decisive momentum vs. indecision
This produces a 0-100 strength score that dynamically adjusts candle transparency—strong moves appear vibrant, weak moves appear faded—providing instant visual feedback on momentum quality.
### **3. RSI EMA with Slope-Sensitive Coloring**
A smoothed exponential moving average of RSI serves as a trend filter, but with a critical enhancement: **dynamic color coding based on slope direction**. When the RSI EMA slopes upward, it displays in bullish color; when sloping downward, bearish color. This provides instant trend context and filters noise from raw RSI fluctuations.
### **4. RSI Structural Framework**
The indicator identifies swing highs and lows within RSI space using pivot detection, then:
- **Connects consecutive swings with lines** to visualize RSI trend channels
- **Creates shaded zones between swings** to highlight support/resistance regions in momentum space
- **Implements cooloff periods** to prevent redundant signals and maintain chart clarity
These structural elements reveal whether RSI is forming higher highs/higher lows (bullish structure) or lower highs/lower lows (bearish structure).
### **5. Break of Structure (BOS) Logic**
The system detects **decisive momentum shifts** when RSI breaks previous structural levels in alignment with RSI EMA trend direction:
- **Bullish BOS**: RSI breaks above previous swing high while RSI EMA is rising
- **Bearish BOS**: RSI breaks below previous swing low while RSI EMA is falling
When BOS occurs, the indicator automatically:
- Places a BOS label at the breakout point
- Projects a support/resistance line forward (20+ bars)
- Creates a shaded zone around the S/R level
- Provides tooltip information with exact S/R values
This gives traders actionable levels where momentum shifts may be defended or rejected.
### **6. Price-RSI Divergence Detection**
Classic divergence analysis identifies conditions where price and momentum disagree:
- **Bullish Divergence**: Price makes lower low, RSI makes higher low (momentum refusing to confirm weakness)
- **Bearish Divergence**: Price makes higher high, RSI makes lower high (momentum weakening despite price strength)
Divergences often precede significant reversals, providing early warning signals before price structure breaks.
### **7. Auto Pivot Horizontal Lines**
The indicator dynamically tracks historical RSI pivot points and plots horizontal lines at these levels, extended forward in time. These act as **momentum support/resistance zones**—levels where RSI has repeatedly turned in the past and may respect again in the future. The system:
- Detects unique pivot levels (filtering duplicates within 2 RSI points)
- Maintains a configurable maximum number of lines per side
- Optionally extends lines infinitely right for persistent reference
- Labels each line with its exact RSI value
By integrating these elements, the indicator provides both micro-level momentum analysis (individual candle strength) and macro-level structural context (swing patterns, BOS events, divergences, key levels), maintaining clarity while revealing momentum dynamics in real time.
---
## **How It Works**
The RSI Candles Pro indicator operates through layered processing stages:
### **Stage 1: RSI OHLC Calculation**
- Four independent RSI calculations are performed for each bar: RSI(open), RSI(high), RSI(low), RSI(close)
- These are combined to form RSI candlesticks:
- **RSI Open/Close**: Determines candle body direction and size
- **RSI High**: Highest value among all four RSI calculations becomes upper wick
- **RSI Low**: Lowest value among all four RSI calculations becomes lower wick
- This creates a complete candlestick representation in RSI space that mirrors price action behavior
### **Stage 2: Strength Score Computation**
For each RSI candle, a composite strength score is calculated:
This score drives **dynamic transparency**: strong moves (score > 70) display with high opacity, weak moves (score < 40) display faded, providing instant visual feedback on momentum quality.
### **Stage 3: RSI EMA Trend Filter**
- An exponential moving average smooths RSI values over a configurable period (default 9)
- The slope is calculated: `rsiEmaSlope = rsiEMA - rsiEMA `
- Dynamic coloring:
- **Positive slope** → Green/Bullish color
- **Negative slope** → Red/Bearish color
- **Flat slope** → Gray/Neutral color
- This provides trend context and filters out noise from raw RSI oscillations
### **Stage 4: Structural Swing Detection**
- Swing highs and lows are identified using pivot detection with configurable lookback (default 5 bars left/right)
- **Cooloff mechanism** prevents redundant signals by requiring minimum bars between swings (default 8)
- When new swings are detected:
- Previous swing values are stored for BOS comparison
- Lines connect consecutive swings to visualize momentum structure
- Shaded boxes (zones) highlight the range between swings as support/resistance regions
### **Stage 5: Break of Structure (BOS) Analysis**
The system monitors RSI behavior relative to previous structural levels:
**Bullish BOS triggers when:**
1. RSI EMA slope is positive (uptrend filter)
2. Current RSI close exceeds previous swing high
3. Previous bar's RSI was below that swing high (confirms break)
4. Cooloff period has elapsed since last bullish BOS (default 10 bars)
**Bearish BOS triggers when:**
1. RSI EMA slope is negative (downtrend filter)
2. Current RSI close breaks below previous swing low
3. Previous bar's RSI was above that swing low (confirms break)
4. Cooloff period has elapsed since last bearish BOS
Upon BOS detection, the indicator automatically:
- Places a labeled marker at the breakout point
- Calculates S/R level with buffer (e.g., RSI low - 0.5 points for bullish BOS)
- Draws a dashed S/R line extending forward (configurable, default 20 bars)
- Creates a shaded S/R zone (±0.5 points from line)
- Adds an "S/R" label at the line's end
### **Stage 6: Auto Pivot Line Management**
- Pivot highs and lows are detected using a separate lookback period (default 5)
- When a new pivot forms:
- System checks if a similar level already exists (within 2 RSI points)
- If unique, adds a horizontal line at that RSI value
- Lines are stored in arrays with configurable maximum capacity (default 4 per side)
- Oldest lines are automatically removed when capacity is exceeded
- Optional labels display exact RSI values at pivot levels
### **Stage 7: Divergence Detection**
The system compares price pivot points with RSI pivot points:
**Bearish Divergence:**
- Price makes higher high compared to previous pivot high
- RSI makes lower high compared to previous RSI pivot high
- RSI must be above 50 (mid-level) to confirm overbought context
- Triangle-down marker placed above candle with "DIV" text
**Bullish Divergence:**
- Price makes lower low compared to previous pivot low
- RSI makes higher low compared to previous RSI pivot low
- RSI must be below 50 to confirm oversold context
- Triangle-up marker placed below candle with "DIV" text
### **Stage 8: Strength Dot Visualization**
Colored dots appear according to Delta Volume strength:
### **Stage 9: Real-Time Info Table**
Through these processes, the indicator creates a living, adaptive representation of RSI behavior that reveals both momentum strength and structural context in real time.
---
## **Interpretation**
The RSI Candles Pro indicator reframes momentum reading from simple overbought/oversold levels to structured awareness of momentum behavior:
### **Candle Patterns**
- **Large-bodied bullish candles (vibrant green)**: Strong, decisive bullish momentum—continuation likely
- **Large-bodied bearish candles (vibrant red)**: Strong, decisive bearish momentum—continuation likely
- **Small-bodied or doji candles (faded/gray)**: Indecision or momentum exhaustion—reversal possible
- **Long upper wicks**: Failed bullish momentum—rejection at resistance
- **Long lower wicks**: Failed bearish momentum—support holding
### **RSI EMA Trend Context**
- **RSI EMA rising (green)**: Momentum uptrend—favor bullish setups
- **RSI EMA falling (red)**: Momentum downtrend—favor bearish setups
- **RSI EMA flat (gray)**: Momentum consolidation—wait for directional clarity
### **Structural Analysis**
- **RSI making higher swing lows with rising EMA**: Bullish structure intact—look for dip-buying opportunities
- **RSI making lower swing highs with falling EMA**: Bearish structure intact—look for rally-selling opportunities
- **Shaded structure zones**: Key support/resistance in momentum space—expect reactions at these levels
### **Break of Structure Signals**
- **Bullish BOS + S/R line**: Momentum confirming upward shift—S/R line becomes support if price dips
- **Bearish BOS + S/R line**: Momentum confirming downward shift—S/R line becomes resistance if price rallies
- **S/R line break**: Momentum structure failing—potential reversal or deeper retracement
### **Pivot Lines**
- **Price approaching RSI pivot high**: Momentum resistance—watch for rejection or breakout
- **Price approaching RSI pivot low**: Momentum support—watch for bounce or breakdown
- **Multiple pivot lines clustered**: Strong momentum support/resistance zone—high-probability reaction area
### **Divergences**
- **Bullish divergence in oversold zone**: Momentum refusing to make new lows despite price weakness—reversal setup
- **Bearish divergence in overbought zone**: Momentum weakening despite price strength—reversal setup
- **Divergence + structure break**: High-conviction reversal signal—combined technical and momentum confirmation
### **Strength Dots**
- **Large dots**: High-conviction moves—reliable trend continuation signals
- **Small dots**: Low-conviction moves—increased reversal risk, avoid chasing
- **Diamond warnings in extremes**: Overextended conditions—prepare for mean reversion
### **Zone Background**
- **Red background (RSI > 70)**: Overbought—watch for bearish divergence or momentum exhaustion
- **Green background (RSI < 30)**: Oversold—watch for bullish divergence or momentum recovery
- **No background (30-70)**: Neutral zone—rely on structure and BOS for directional bias
---
## **Strategy Integration**
RSI Candles Pro integrates seamlessly into momentum-based and reversal trading systems:
### **Trend Continuation Strategies**
- **Entry trigger**: Bullish BOS in rising RSI EMA context with strong candle (large dot)
- **Confirmation**: Price respecting S/R line as support on pullback
- **Exit**: Bearish divergence or RSI candle indecision (doji) at pivot resistance
### **Reversal Strategies**
- **Setup**: Divergence forming in extreme zone (RSI > 70 or < 30)
- **Trigger**: RSI structure break opposite to prevailing trend (bearish BOS in uptrend)
- **Confirmation**: RSI EMA slope change + decisive candle in reversal direction
- **Entry**: On pullback to S/R line or pivot level
### **Momentum Fade Strategies**
- **Signal**: Small strength dots appearing in extreme zones
- **Setup**: RSI touching pivot resistance/support with indecision candle
- **Entry**: Opposite-direction candle with medium/large dot
- **Stop**: Beyond recent RSI structure level
### **Structure-Based Entries**
- **Align higher-timeframe RSI trend** (EMA slope direction)
- **Wait for lower-timeframe BOS** in alignment with higher trend
- **Enter on retest** of S/R line with strength confirmation (large dot)
- **Scale out** at next pivot level or divergence signal
### **Multi-Indicator Confluence**
Combine RSI Candles Pro with:
- **Price structure indicators** (Smart Money Concepts, market structure) for trade direction
- **Volume indicators** to confirm momentum with participation
- **Volatility indicators** (ATR, Bollinger Bands) for position sizing context
- **Institutional Zone Detector** for volume profile alignment—RSI BOS + price at VAL/VAH = high-conviction entry
### **Multi-Timeframe Coordination**
- **Higher timeframe** (4H-Daily): Identify RSI EMA trend direction and major structure
- **Lower timeframe** (15min-1H): Execute entries on BOS signals aligned with higher timeframe
- **Micro timeframe** (1-5min): Fine-tune entries using strength dots and pivot reactions
---
## **Technical Implementation Details**
### **Core Engine**
- **RSI OHLC calculation**: Four independent RSI computations per bar create candlestick representation
- **Strength scoring**: Multi-factor composite algorithm quantifies momentum conviction
- **Dynamic transparency**: Real-time opacity adjustment based on strength score
### **Structural Framework**
- **Pivot-based swing detection**: Configurable left/right bar lookback with cooloff mechanism
- **Line and zone visualization**: Connects consecutive swings with shaded support/resistance regions
- **Array-based storage**: Previous swing values preserved for BOS comparison logic
### **BOS Detection Engine**
- **Dual-condition logic**: Structure break + trend alignment (RSI EMA slope) required
- **Automatic S/R projection**: Lines, zones, and labels generated upon BOS events
- **Cooloff management**: Prevents signal spam during extended directional moves
### **Divergence System**
- **Price-RSI pivot comparison**: Detects higher-high/lower-high and lower-low/higher-low patterns
- **Zone filtering**: Divergences only trigger in appropriate zones (above/below 50)
- **Visual markers**: Triangle shapes with "DIV" text for instant recognition
### **Auto Pivot Management**
- **Dynamic level tracking**: Arrays store lines, values, and labels
- **Duplicate filtering**: Prevents redundant lines within 2 RSI points
- **Capacity control**: Automatic removal of oldest lines when maximum reached
- **Optional extension**: Lines can extend infinitely right for persistent reference
### **Performance Profile**
- **Lightweight computation**: Efficient pivot detection and array management
- **Real-time responsiveness**: Immediate updates on bar close
- **Scalable across timeframes**: Maintains clarity from 1-minute to daily charts
- **Configurable visual elements**: All features can be toggled for custom layouts
---
## **Optimal Application Parameters**
### **Timeframe Guidance**
**1-5 Minute Charts (Scalping):**
- RSI Length: 9-11 (faster response)
- RSI EMA Length: 5-7
- Structure Lookback: 3-4
- Pivot Lookback: 3-4
- Use Case: Micro momentum shifts, quick BOS entries
**15-60 Minute Charts (Intraday Swing):**
- RSI Length: 14 (standard)
- RSI EMA Length: 9
- Structure Lookback: 5
- Pivot Lookback: 5
- Use Case: Intraday structure breaks, divergence reversals
**4 Hour - Daily Charts (Position Trading):**
- RSI Length: 14-21
- RSI EMA Length: 13-21
- Structure Lookback: 7-10
- Pivot Lookback: 7-10
- Use Case: Major momentum shifts, high-timeframe divergences
### **Suggested Configuration (Default)**
- **RSI Length**: 14 (industry standard)
- **RSI EMA Length**: 9 (smooth but responsive)
- **Overbought Level**: 70
- **Oversold Level**: 30
- **Structure Lookback**: 5 bars
- **Structure Cooloff**: 8 bars
- **BOS Cooloff**: 10 bars
- **S/R Extension**: 20 bars
- **S/R Buffer**: 0.5 RSI points
- **Pivot Lookback**: 5 bars
- **Max Pivot Lines**: 4 per side
- **Divergence Lookback**: 5 bars
- Use strength dots as primary filter—require large dots for entries
- Rely heavily on divergences and structure zones
**Trending Markets:**
- Focus on BOS signals aligned with RSI EMA slope
- Use pivot lines as profit targets
- Ignore counter-trend divergences until RSI EMA changes slope
**Ranging Markets:**
- Emphasize divergences at extreme levels
- Trade bounces from pivot lines
- Reduce reliance on BOS signals (more false breaks)
---
## **Performance Characteristics**
### **High Effectiveness:**
- **Trending markets with clear momentum cycles**: RSI structure aligns with price structure for reliable BOS signals
- **Markets with defined swing patterns**: Pivot lines and structure zones provide accurate support/resistance
- **Divergence-prone assets**: Assets that respect momentum/price divergences (equities, major FX pairs)
- **Timeframes with sufficient volatility**: RSI candles show meaningful patterns when price moves decisively
### **Reduced Effectiveness:**
- **Choppy, sideways markets**: RSI oscillates around 50 with no structural pattern, generating false BOS signals
- **Low-liquidity assets**: Erratic price action creates unreliable RSI swings
- **News-driven volatility spikes**: Sudden moves invalidate structure and create whipsaws
- **Extremely low timeframes (< 1 minute)**: Noise overwhelms signal, structure breaks lack follow-through
### **Optimal Market Conditions:**
- **Clear momentum phases** with defined RSI EMA trend
- **Respect for previous swing levels** in RSI space
- **Volume participation** during BOS events (combine with volume indicator)
- **Alignment between RSI structure and price structure**
---
## **Integration Guidelines**
### **Confluence Framework**
Combine RSI Candles Pro with:
1. **Volume analysis** (Institutional Zone Detector, volume profile) to confirm RSI BOS with volume participation
2. **Price structure** (Smart Money Concepts, order blocks) to align RSI momentum with price levels
3. **Trend indicators** (moving averages, Supertrend) for higher-timeframe directional bias
4. **Volatility indicators** (ATR, Bollinger Bands) for stop-loss and profit target placement
### **Directional Control**
- **Never trade against RSI EMA slope** unless high-conviction divergence present
- **Require BOS alignment** with RSI EMA direction for continuation trades
- **Wait for RSI EMA slope change** before taking counter-trend reversals
### **Risk Calibration**
- **Stop-loss placement**: Beyond recent RSI structure swing (converted to price)
- **Position sizing**: Larger positions for strong candles (large dots) at BOS events
- **Profit targets**: Next pivot line level or opposite-zone boundary (70/30)
- **Trail stops**: Use S/R lines as trailing stop levels after BOS
### **Multi-Timeframe Synergy**
1. **Check higher timeframe** (3x-5x current): RSI EMA slope and major structure
2. **Identify current timeframe**: BOS events and divergences
3. **Execute on lower timeframe** (1/3x-1/5x current): Strength-confirmed entries at pivot levels
4. **Align all timeframes**: Only trade when RSI structure agrees across timeframes
### **Alert Strategy**
Enable alerts for:
- **RSI BOS events**: Immediate notification of momentum structure breaks
- **Divergences**: Early warning of potential reversals
- **Extreme zone entries**: RSI crossing 70/30 levels
- **RSI EMA trend changes**: Shifts in momentum trend direction
---
## **Disclaimer**
The RSI Candles Pro indicator is a professional-grade momentum visualization and structural analysis tool. It is not predictive or guaranteed profitable; performance depends on parameter tuning, market regime, and disciplined execution.
**Key Considerations:**
- RSI is a **derivative indicator** (calculated from price), not a leading indicator—it confirms momentum but does not predict future price
- **Divergences can persist** for extended periods; early entries may require multiple attempts
- **BOS signals may fail** in choppy markets; always use stop-losses and risk management
- **Optimal parameters vary** by asset, timeframe, and volatility regime—backtesting recommended
- **No indicator works in isolation**; combine with price action, volume, and market context
**Best Practices:**
- Paper trade new configurations before risking capital
- Maintain a trading journal to identify which signals work best for your style
- Adjust cooloff periods and lookback lengths based on asset characteristics
- Use in conjunction with fundamental analysis and broader market context
- Never risk more than 1-2% of capital per trade, regardless of indicator signals
This indicator is designed to enhance decision-making, not replace it. Traders should integrate RSI Candles Pro into a comprehensive analytical framework that includes price structure, volume analysis, and risk management protocols. Success requires consistent application of tested strategies, emotional discipline, and continuous adaptation to changing market conditions.
Fabio-Style Order Flow SystemFabio-Style Order Flow System — LVN • Delta • Big Trades • FVG • Order Blocks • Liquidity • Volume Profile
This indicator brings together all major components of Fabio Valentino’s order-flow strategy in one unified tool. It visualizes where smart money is active, where inefficiencies form, and where price is likely to react next.
🔍 FEATURES
1. Order Flow & Delta
Smoothed delta to show true market imbalance
Background color shifts to bullish/bearish delta dominance
Alerts for delta spikes & order-flow flips
2. Big Trade Detection
Highlights Big Buy and Big Sell prints (relative to average volume)
Helps identify institutional aggression on both sides
3. Low Volume Nodes (LVNs)
Automatically detects low-volume zones
Flags retests of LVNs for high-probability reactions
Uses dynamic volume thresholds for accuracy
4. Volume Profile (Lightweight)
Bucket-based intrabar profile across user-defined lookback
Highlights volume distribution without heavy TradingView CPU load
Auto-scales bucket density & transparency
5. Fair Value Gaps (FVGs)
Detects both bullish & bearish three-bar imbalances
Marks gaps visually using colored boxes
Updates dynamically with a user-set lookback
6. Order Blocks (OBs)
Identifies valid displacement bars and their origin OB
Plots clean, minimalist rectangles around key OB zones
Uses ATR-based impulse filtering
7. Liquidity Grabs
Detects wick-based liquidity sweeps
Highlights both equal high/low and stop-run type wicks
Useful for spotting reversals & trap setups
8. Strategy Dashboard
Shows real-time order flow state
Displays delta strength, big trades, LVNs, and last directional impulse
Auto-positions in all corners
🎯 PERFECT FOR
Traders who use:
Order Flow
Smart Money Concepts (SMC)
ICT / FVG / Liquidity models
Market Structure + Volume
Fabio Valentino-style analysis
⚙️ PERFORMANCE
All elements optimized
Uses automatic box-clearing to avoid array overload
Works on all timeframes & markets (crypto, FX, indices, stocks)
