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Allyhshn - FVG Classifier## Allyhshn – FVG Classifier ### Technical Specifications & Methodology ### Overview **Allyhshn – FVG Classifier** is a multi-timeframe Fair Value Gap (FVG) detection, ranking, and visualization indicator built in Pine Script® v6. It is designed to identify ICT-style three-candle imbalances across multiple timeframes, dynamically rank them by contextual relevance, and display only the most actionable FVG zones on the chart with strong performance safeguards. The indicator does **not** predict price direction. Instead, it classifies and prioritizes existing imbalance zones based on structural, volatility, trend, and temporal factors. --- ## 1. FVG Detection Logic ### Definition The indicator uses a strict **3-candle ICT imbalance model**: * **Bullish FVG** Formed when: `Low (current candle) > High (2 candles ago)` Zone range: * Bottom = High * Top = Low * **Bearish FVG** Formed when: `High (current candle) < Low (2 candles ago)` Zone range: * Bottom = High * Top = Low Each detected FVG is stored as a price zone and tracked independently. --- ## 2. Multi-Timeframe Architecture ### Fixed 5-Timeframe Model The indicator always processes **exactly five timeframes per bar**, ensuring deterministic behavior and predictable performance. ### Mode Selection * **Auto Mode** Timeframes are automatically selected based on: * Current chart timeframe * Trading regime (Scalping, Intraday, Swing, Position) * **Manual Mode** The user explicitly defines all five timeframes. ### Regime Influence Trading regimes bias the timeframe selection: * **Scalping**: Lower timeframes emphasized * **Intraday**: Balanced LTF/MTF/HTF mix * **Swing / Position**: Higher timeframes prioritized (Daily, Weekly, Monthly) --- ## 3. Filters and Validation ### Minimum Size Filter * FVG size is normalized by ATR. * Zones smaller than a user-defined ATR multiple are ignored. * Prevents noise and micro-imbalances. ### Trend Alignment (Optional) * Uses an EMA-based trend filter. * Bullish FVGs are optionally restricted to uptrends. * Bearish FVGs are optionally restricted to downtrends. --- ## 4. Scoring & Priority System Each FVG receives a **dynamic score** representing contextual priority, recalculated every bar. ### Score Components The final score is a multiplicative composite of: 1. **Timeframe Weight** * Higher timeframes receive higher structural importance. * Monthly > Weekly > Daily > Intraday > Seconds. 2. **Distance to Price** * Zones closer to current price are prioritized. * Distance normalized by ATR. 3. **Zone Size** * Moderate-sized imbalances score higher than very small ones. * Normalized and softly capped. 4. **Trend Alignment** * Aligned zones receive a boost. * Counter-trend zones are penalized, not discarded. 5. **Age Decay** * Older zones remain valid but lose urgency over time. * Smooth decay with a multi-hour half-life effect. 6. **Session Boost (Optional)** * Priority boost during user-defined high-liquidity sessions. The score acts as a **probability proxy**, not a prediction. --- ## 5. Mitigation Logic Each FVG is monitored for mitigation using one of three user-defined rules: * **Touch**: Any price overlap with the zone * **Half**: Price reaches the midpoint of the zone * **Full**: Entire zone is traded through Once mitigated: * The zone is flagged internally * The visual box is removed * The data remains available for ranking logic --- ## 6. Memory & Performance Management ### Controlled Storage * Maximum number of stored FVGs is capped. * Oldest entries are removed automatically. ### Draw Limit * Only the **highest-ranked unmitigated FVGs** are displayed. * Lower-priority zones are visually faded or hidden. * Prevents chart clutter and performance degradation. ### Array Safety * All array operations are size-checked. * Prevents out-of-bounds errors in real-time and historical bars. --- ## 7. Visualization ### Box Rendering * FVGs are drawn as shaded rectangles. * Color-coded by direction: * Bullish and bearish zones use distinct colors. * Boxes extend a configurable number of bars into the future. ### Transparency Logic * High-priority zones are emphasized. * Lower-priority zones are automatically faded. --- ## 8. Priority Table (Optional) An optional on-chart table displays the **top-ranked unmitigated FVGs**, including: * Priority rank * Timeframe * Direction * Average price of the zone * Size (ATR-normalized) * Current score The table is rebuilt only on the last bar to preserve performance. --- ## 9. Alerts ### Proximity Alert An optional alert triggers when: * Price approaches the midpoint of the **highest-priority FVG** * Distance threshold is ATR-based and configurable Alerts are evaluated globally and safely outside local scopes. --- ## 10. Intended Use & Limitations ### Intended Use * Market structure analysis * Liquidity-based zone mapping * Contextual decision support * Confluence with other execution models ### Not Intended For * Standalone trade signals * Price prediction * Automated execution without confirmation ## 11. Account Compatibility * Does not require proprietary order book or footprint data. * Works on all TradingView accounts. * Uses only publicly available volume information. --- ## Summary **Allyhshn – FVG Classifier** is a structured, performance-conscious FVG classification engine. It focuses on **ranking relevance rather than quantity**, making it suitable for scalping, intraday, and higher-timeframe structural analysis without overwhelming the chart or the Pine runtime. ---
Pine Script® indicator
by Allyhshn
Delta Volume by rajib127Delta Volume Indicator This powerful indicator displays delta volume values directly on your chart. Key Features: • Real-time Delta Calculation: Shows buying vs selling pressure for each candle • Color-Coded Display: Green for positive delta (buying pressure), Red for negative delta (selling pressure) • Clean White Background: Enhanced visibility with white labels behind each value • Smart Formatting: Automatically formats large numbers (e.g., +2.5K, -1.2M) • All Timeframes Supported: Works seamlessly from M1 (1-minute) to Daily charts and beyond • Customizable Settings: Adjust colors, font size, display filters, and positioning Why Use This Indicator? TradingView's native delta volume and footprint charts require a Premium subscription to access. While the Premium version includes additional buyer/seller data, this FREE indicator provides the essential delta volume information that most traders need. How It Works: The indicator calculates delta by analyzing each candle's price action and volume. Bullish candles show positive delta (net buying), bearish candles show negative delta (net selling), and the size reflects the intensity of market pressure. Perfect For: - Day traders and scalpers analyzing order flow - Swing traders identifying accumulation/distribution zones.
Pine Script® indicator
by rajib127
cg Algo 2This indicator is designed to assist traders in identifying potential limit entry zones along with confirmation signals based on price behavior and technical conditions. It highlights areas where price may react, helping traders plan entries with a structured and disciplined approach. The indicator provides both Buy Limit and Sell Limit levels, as well as confirmation signals to improve timing and trade confidence. Users can select from four different signal options, allowing flexibility for conservative or aggressive trading styles. All signals are generated using predefined logic based on historical price data and market structure. This indicator does not predict future price movement and should be used as a decision-support tool, not as a standalone system.
Pine Script® indicator
by lazily-aloof-cadet
1
Accurate CCT WHOP Free VersionAccurate CCT Premium (Private Access) This is an invite-only indicator. A neater look than the public free version. 👉 Free Access via Whop : 🟢 OVERVIEW The CCT (Consecutive Candle Trading) system identifies high-probability trade setups based on consecutive candles breaking key levels on higher timeframes. This system helps traders: ✅ Identify strong momentum setups automatically ✅ Enter at institutional price levels (POI) ✅ Trade with clear structure and confluence ✅ Avoid emotional decision-making HOW IT WORKS CCT Long Setups: • Two consecutive bullish candles on 1H timeframe • Second candle closes above the first candle's high • POI created at the first candle's high CCT Bearish Setups: • Two consecutive bearish candles • Second candle closes below the first candle's low • POI created at the first candle's low ENTRY SYSTEM • Entry Signal: Price crosses POI (▲ for long, ▼ for short) • POI Validity: 90 minutes from confirmation • Entry Mode: Cross-bar entry PRIVATE VERSION FEATURES ✅ Automatic CCT Detection ✅ POI Lines - Visual entry zones ✅ CCT Confirmation Labels - “CCT✓” ✅ Entry Signals - Clear ▲/▼ arrows ✅ Premium Status Panel - Clean, professional UI PREMIUM UPGRADE FEATURES • Pending POI Detection (Gray dashed lines) • Automatic SL/TP & Trailing Stops • Full Customization (Timeframes & Modes) • JSON Alert System for Webhooks • Advanced Scaling (Multi entries per POI) ⚠️ DISCLAIMER This indicator is for educational purposes only. Past performance does not guarantee future results. Trading carries substantial risk of loss. Happy trading! If this indicator helps your trading, a review and boost is much appreciated :) 🚀 Upgrade to Premium: Find link in my bio - ruru
Pine Script® indicator
by rurubudong_
MM MAGICAL LINETitle: MM MAGICAL LINE The MM MAGICAL LINE is a precision-based intraday tool designed to identify critical price levels established during specific institutional windows. this indicator isolates key trend-confirmation zones that act as psychological support and resistance for the remainder of the session. Key Features: Institutional Anchoring: Captures price action from high-volume time brackets. Clean UI: Minimalist design with customizable color schemes to fit any chart background. Volatility Filter: Uses smoothed price data to eliminate market noise. Best used on intraday timeframes (1m, 5m, 15m) for trend identification and breakout confirmation.
Pine Script® indicator
by MithunRS
Volume Oracle - Regime DetectionVolume Oracle - Regime Detection Volume Oracle transforms raw volume data into a regime-based flow analysis framework. The indicator is designed to help traders identify periods of accumulation and distribution through five integrated analytical layers: regime detection, market structure validation, volume footprint analysis, quality scoring, and multi-timeframe confluence. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪 Volume analysis has long been considered a window into market participant activity. Large players cannot move size without leaving footprints in the volume record. Traditional volume indicators show raw numbers, but interpreting whether elevated volume represents accumulation or distribution requires additional context. Volume Oracle builds on this foundation by adding five analytical layers: • Regime Detection: Classifies the current market state as Accumulation (buying pressure), Distribution (selling pressure), or Neutral (no clear direction) using a composite scoring system that weighs price velocity, trend alignment, and volume-weighted flow. • Market Structure Validation: Tracks swing highs and lows to determine if price structure (higher highs/higher lows vs lower highs/lower lows) agrees with the detected regime. • Volume Footprint Analysis: Classifies volume spikes as either Momentum bars (large body, small wicks indicating directional conviction) or Absorption bars (small body, large wicks indicating supply/demand absorption). • Quality Scoring System: Rates each signal from 0-100% based on multiple confluence factors, displayed as star ratings for quick visual assessment. • Multi-Timeframe Confluence: Optional higher timeframe filters that require regime alignment across multiple timeframes before generating signals. The indicator adapts all parameters automatically based on the chart timeframe, with different settings optimized for scalping, intraday, swing, and position trading styles. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗛𝗢𝗪 𝗜𝗧 𝗪𝗢𝗥𝗞𝗦 The indicator is built around one core principle: market participant activity may reveal itself through the relationship between volume, price movement, and market structure. 𝗥𝗲𝗴𝗶𝗺𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 What it does: The regime engine calculates a composite score using four weighted components: recent price velocity (where price is heading now versus recent history), trend alignment (EMA stacking and price position relative to moving averages), volume-weighted flow (proportion of volume occurring on up-closes versus down-closes), and volume confirmation (whether current volume exceeds average). The score passes through an EMA smoothing filter and must exceed configurable thresholds for multiple consecutive bars before a regime change is confirmed. How to interpret it: When the indicator shows Accumulation, this suggests buying pressure currently dominates. Distribution suggests selling pressure dominates. Neutral indicates no clear directional bias. The regime state colors the volume bars: green tints during accumulation, red tints during distribution, gray during neutral periods. A subtle background shade reinforces the current regime. 𝗠𝗮𝗿𝗸𝗲𝘁 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 What it does: The indicator tracks recent swing highs and swing lows using pivot detection. It compares the most recent swing points to previous ones to determine if price is making higher highs and higher lows (bullish structure), lower highs and lower lows (bearish structure), or mixed patterns. How to interpret it: When structure aligns with regime (bullish structure during accumulation, bearish structure during distribution), the regime table displays a checkmark. When structure conflicts with regime, this may suggest the regime is losing conviction. Structure validation appears in the regime table and factors into signal quality scores. 𝗩𝗼𝗹𝘂𝗺𝗲 𝗙𝗼𝗼𝘁𝗽𝗿𝗶𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 What it does: On volume spike bars, the indicator analyzes the candle structure. Momentum bars have large bodies relative to their range (directional conviction). Absorption bars have small bodies with large wicks (supply or demand being absorbed without moving price significantly). How to interpret it: Momentum bars during a trend may suggest strong directional conviction pushing price. Absorption bars may suggest supply or demand being absorbed at support or resistance without significant price movement. Footprint type factors into signal quality and triggers dedicated alerts. 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 What it does: Each signal receives a quality score from 0-100% based on multiple factors: volume spike strength, flow direction conviction, trend alignment, regime strength, regime freshness, squeeze proximity, HTF alignment (if enabled), momentum acceleration, structure agreement, footprint type, market character (trending vs choppy), and confluence count. High signal density (many signals in a short period) reduces quality scores. How to interpret it: Signals display star ratings: three stars for scores above 85%, two stars for 75-84%, one star for 65-74%, and no stars below 65%. A target emoji appears when five or more confluence factors align. Higher quality scores suggest more factors agreeing, though this does not guarantee outcomes. 𝗠𝘂𝗹𝘁𝗶-𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 What it does: When enabled, the indicator fetches data from one or two higher timeframes and calculates simplified regime scores for each. It checks whether HTF regimes match the current timeframe regime, whether HTF strength exceeds a minimum threshold, and whether HTF regimes are strengthening rather than weakening. How to interpret it: When all HTF conditions align, signals display an additional emoji indicator. In strict mode, signals only appear when HTF agrees. The HTF table shows regime state, strength percentage, trend direction, and alignment status for each configured timeframe. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗪𝗛𝗬 𝗧𝗛𝗘𝗦𝗘 𝗖𝗢𝗠𝗣𝗢𝗡𝗘𝗡𝗧𝗦 𝗪𝗢𝗥𝗞 𝗧𝗢𝗚𝗘𝗧𝗛𝗘𝗥 Each layer addresses a different aspect of market analysis: 1. Regime Detection: Establishes the directional bias using volume-weighted evidence. 2. Structure Validation: Confirms whether price action supports the detected regime. 3. Footprint Analysis: Characterizes the nature of volume activity on spikes. 4. Quality Scoring: Synthesizes all factors into a single actionable metric. 5. Multi-Timeframe Filter: Reduces noise by requiring agreement across timeframes. When multiple factors align (strong regime, confirming structure, momentum footprint, high quality score, HTF agreement), this represents maximum confluence. Such conditions may warrant closer examination, though they do not guarantee any particular outcome. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗛𝗢𝗪 𝗧𝗢 𝗨𝗦𝗘 This section provides step-by-step guidance for interpreting the indicator's visual elements. 𝗦𝘁𝗲𝗽 𝟭: 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝘁𝗵𝗲 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗥𝗲𝗴𝗶𝗺𝗲 Look at the regime table in the corner of the chart. The top row shows the current regime state: ACCUMULATION, DISTRIBUTION, or NEUTRAL. The color matches the regime (green, red, or gray). • Volume bars tinted green suggest accumulation regime • Volume bars tinted red suggest distribution regime • Volume bars gray indicate neutral regime The regime provides context for all other readings. Trading with the regime (buying during accumulation, selling during distribution) aligns with the detected flow direction. 𝗦𝘁𝗲𝗽 𝟮: 𝗔𝘀𝘀𝗲𝘀𝘀 𝗥𝗲𝗴𝗶𝗺𝗲 𝗛𝗲𝗮𝗹𝘁𝗵 The regime table displays multiple health indicators: • Strength percentage: Higher values suggest stronger conviction • Status: STRONG, FADING, WEAKENING, or CRITICAL • Health: Composite warning indicator (HEALTHY, WATCH, CAUTION, DANGER) • Structure: Whether price structure agrees with regime • Market: Whether conditions are TRENDING, NORMAL, or CHOPPY • Flip: Whether a regime change is building When status shows FADING or worse, the regime may be losing conviction. Yellow-tinted volume bars appear after three consecutive bars of weakening status, providing early warning of potential regime changes. 𝗦𝘁𝗲𝗽 𝟯: 𝗪𝗮𝘁𝗰𝗵 𝗳𝗼𝗿 𝗦𝗶𝗴𝗻𝗮𝗹𝘀 Bullish signals appear as green labels with an up arrow above volume spikes during accumulation. Bearish signals appear as red labels with a down arrow during distribution. Labels include: • Star ratings indicating quality (more stars suggest more confluence) • Target emoji when five or more factors align • HTF emoji when higher timeframe agrees Hover over any signal label to see detailed tooltip information including quality percentage, risk levels, position sizing suggestions, and specific confluence factors present. 𝗦𝘁𝗲𝗽 𝟰: 𝗖𝗵𝗲𝗰𝗸 𝗛𝗧𝗙 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 (𝗜𝗳 𝗘𝗻𝗮𝗯𝗹𝗲𝗱) When multi-timeframe filtering is enabled, a second table appears showing HTF regime states. Green checkmarks indicate alignment, red X marks indicate disagreement. For maximum confluence, all timeframes should agree on regime direction. 𝗦𝘁𝗲𝗽 𝟱: 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝗘𝘅𝗶𝘁 𝗪𝗮𝗿𝗻𝗶𝗻𝗴𝘀 Yellow warning labels appear when exit conditions trigger: regime flips, flow reversals, critical weakness, time-based exits, or target hits. These suggest reviewing open positions. The tooltip explains the specific exit reason. 𝗦𝘁𝗲𝗽 𝟲: 𝗖𝗼𝗺𝗯𝗶𝗻𝗲 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗙𝗮𝗰𝘁𝗼𝗿𝘀 The indicator provides the most context when multiple elements align: 𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘈 (𝘛𝘳𝘦𝘯𝘥 𝘊𝘰𝘯𝘵𝘪𝘯𝘶𝘢𝘵𝘪𝘰𝘯): Regime shows ACCUMULATION at 72% strength with STRONG status. Structure displays checkmark (HH/HL confirmed). Market character shows TRENDING. A volume spike triggers a bullish signal with two stars and HTF alignment. Multiple factors agreeing during an established regime suggests trend may continue, though no outcome is guaranteed. 𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘉 (𝘔𝘰𝘮𝘦𝘯𝘵𝘶𝘮 𝘍𝘢𝘥𝘪𝘯𝘨): Regime shows DISTRIBUTION but status has shifted to FADING. Strength dropped from 65% to 48% over recent bars. Structure shows conflict (regime bearish but structure making higher lows). Volume bars have turned yellow. This type of internal disagreement often appears before regime changes or consolidation periods. 𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘊 (𝘌𝘹𝘩𝘢𝘶𝘴𝘵𝘪𝘰𝘯 𝘞𝘢𝘳𝘯𝘪𝘯𝘨): After an extended rally, regime shows ACCUMULATION but status reads CRITICAL. Health indicator shows CAUTION with two warnings active. An absorption bar appears (volume spike with small body and large upper wick). The Flip row shows regime change building. None of this guarantees reversal, but multiple warning signs appearing together suggest caution. 𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘋 (𝘉𝘳𝘦𝘢𝘬𝘰𝘶𝘵 𝘍𝘳𝘰𝘮 𝘊𝘰𝘯𝘴𝘰𝘭𝘪𝘥𝘢𝘵𝘪𝘰𝘯): Regime has shown NEUTRAL for several sessions with volume bars gray and muted. Market character displays CHOPPY. Then a volume spike triggers with regime flipping to ACCUMULATION, confirmed by structure shift to HH/HL. A three-star signal appears with target emoji. When multiple elements shift together after a quiet period, consolidation may be resolving into a directional move. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗡𝗔𝗩𝗜𝗚𝗔𝗧𝗜𝗡𝗚 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗧 𝗠𝗔𝗥𝗞𝗘𝗧 𝗖𝗢𝗡𝗗𝗜𝗧𝗜𝗢𝗡𝗦 𝗧𝗿𝗲𝗻𝗱𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝘀 During sustained trends, the indicator typically shows persistent regime state (accumulation in uptrends, distribution in downtrends) with STRONG status and TRENDING market character. Structure should confirm with appropriate swing point patterns. Signals receive quality bonuses during trending conditions. Focus on signals that align with the established regime rather than counter-trend setups. The regime strength percentage and status provide ongoing confirmation that the trend remains healthy. 𝗥𝗮𝗻𝗴𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝘀 During consolidation, expect frequent regime shifts between accumulation, distribution, and neutral. Market character will display CHOPPY, and quality scores receive penalties. Structure may show mixed readings. Signal frequency increases but quality decreases. Consider using stricter filtering (higher volume threshold, HTF requirement) or waiting for regime stability before acting. The stability index in the regime table tracks flip frequency to help identify choppy conditions. 𝗛𝗶𝗴𝗵 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗘𝘃𝗲𝗻𝘁𝘀 During news events or volatility spikes, the auto-adapt feature adjusts thresholds based on ATR readings. Higher volatility raises the bar for regime changes, reducing whipsaws. Volume spikes during high volatility require greater statistical significance. The regime table tooltip shows current adaptive settings for transparency. Signals during extreme volatility should be interpreted with additional caution. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗗𝗘𝗧𝗔𝗜𝗟𝗦 • Volume spike detection uses z-score normalization against a lookback window • Regime scoring combines velocity, trend, flow, and volume components with configurable weights • Regime changes require multi-bar confirmation above thresholds • Structure detection uses pivot-based swing point identification • Footprint classification analyzes body-to-range ratio and wick proportions • Quality scoring aggregates multiple factors with caps and multipliers • HTF data uses request.security with lookahead disabled (non-repainting) • All signals fire on bar close only (non-repainting architecture) • Parameters adapt automatically based on timeframe category ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗨𝗡𝗜𝗤𝗨𝗘 𝗙𝗘𝗔𝗧𝗨𝗥𝗘𝗦 • Timeframe Adaptive: All parameters (lookbacks, thresholds, confirmations) automatically scale based on whether the chart shows scalp, intraday, swing, or position timeframes. • Multi-Layer Warning System: Four warning levels (STRONG, FADING, WEAKENING, CRITICAL) provide graduated alerts as regimes deteriorate, rather than binary flip signals. • Structure-Regime Validation: Cross-references detected regime against actual price structure (swing highs/lows) to identify potential divergences. • Volume Footprint Classification: Distinguishes between momentum-driven volume spikes and absorption patterns that may indicate different market participant behavior. • Quality-Based Position Sizing: Suggested position sizes scale based on signal quality, with higher confluence signals receiving larger size recommendations. • Non-Repainting Architecture: All calculations use confirmed bar data only. Historical display matches real-time behavior exactly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗦𝗘𝗧𝗧𝗜𝗡𝗚𝗦 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪 • Detection: Volume spike threshold, signal cooldown, regime sensitivity mode, auto-adapt toggle, warning display toggle • Risk: Account size, risk percentage, ATR length, stop/target multipliers, partial exit percentage, trailing stop and breakeven settings • Multi-Timeframe: HTF enable toggles, timeframe selections, strict mode, minimum HTF strength threshold • Strategy: Trading mode selection (Trend Following, Mean Reversion, or Hybrid), mean reversion threshold • Display: Toggles for regime table, background colors, exit warnings, quality stars, management labels, tooltips, and HTF table • Table Style: Layout orientation, table positions, text sizes, border and frame widths ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗔𝗟𝗘𝗥𝗧𝗦 25 alert conditions available: • Bull Signal / Bear Signal / Any Signal: Core directional signals with quality and position details • Target 1 Hit / Breakeven: Position management milestones • Exit Warning: Triggered when exit conditions appear • Regime to Accumulation / Distribution / Neutral: Individual regime change alerts • Any Regime Change: Fires on any regime transition • Regime Weakening: Early warning of deteriorating regime • Momentum Fading / Flow Deteriorating / Volume Drying: Leading exit indicators • Multiple Warnings: Fires when two or more warning conditions active • HTF Aligned / HTF Broke: Multi-timeframe alignment changes • Structure Bullish / Structure Bearish: Price structure shifts • Structure Conflict: When structure disagrees with regime • Momentum Footprint / Absorption Footprint: Volume footprint detection • Market Trending / Market Choppy: Market character changes • High Confluence Signal: Signals with five or more factors aligned ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗟𝗜𝗠𝗜𝗧𝗔𝗧𝗜𝗢𝗡𝗦 • Requires Volume Data: Instruments without reliable volume data (some forex pairs, indices) will produce unreliable readings. • Analysis Tool, Not Signal Generator: This indicator identifies conditions that may warrant attention. It does not provide entry/exit instructions and should not be followed mechanically. • Lagging Component: Regime detection requires confirmation bars, introducing necessary lag. Fast reversals may not be captured in time. • No Guarantee of Outcomes: High quality scores and multiple confluence factors improve context but do not predict results. Markets can move against any setup. • HTF Limitations: Higher timeframe data updates on HTF bar closes, not continuously. Brief alignment windows may be missed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗖𝗢𝗡𝗖𝗟𝗨𝗦𝗜𝗢𝗡 Volume Oracle provides a structured framework for analyzing volume flow through regime detection, structure validation, footprint classification, quality scoring, and multi-timeframe confluence. The indicator is designed to help traders identify accumulation and distribution phases and assess the conviction behind detected regimes. Multiple warning systems provide early indication when regimes may be losing strength. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗗𝗜𝗦𝗖𝗟𝗔𝗜𝗠𝗘𝗥 Trading is risky and most traders lose money. This indicator is provided for informational and educational purposes only. It does not constitute financial advice, and past performance does not guarantee future results. All content, tools, and analysis should not be considered as recommendations to buy or sell any asset. Users are solely responsible for their own trading decisions. Always use proper risk management and consider consulting a qualified financial advisor before making trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built with PineScript v6. Non-repainting. All signals confirmed on bar close.
Pine Script® indicator
by SignalPilotLabs
Exchange Sessions - Bollinger Bands Version [FervTrades]This indicator visualizes the four major trading sessions (New York orange, London blue, Tokyo pink, Sydney yellow) using fixed UTC timings optimized for crypto/forex markets and UTC+8 equivalents noted in code. It overlays customizable session ranges (90% transparent boxes), Bollinger Bands (20-period, 2σ default), optional trendlines (linear regression with R²), session means, or max/min levels, plus daily dividers with weekday labels for clear session isolation during high-volume overlaps like London/NY. Key Features - Session Dashboard: Real-time table (top-right default) shows active/inactive status (green/red), trend strength (R² >0 bullish), BB width (expansion/contraction), and volatility (σ) for each session; toggle advanced mode for metrics. ​ - Bollinger Bands Per Session: Session-specific BB calculated incrementally during active hours only, plotted with basis (solid), upper/lower (translucent); ideal for spotting volatility squeezes or breakouts within sessions. ​ - Flexible Overlays: Enable/disable per session and type (range, BB, trendline, mean, max/min); trendlines use weighted linear regression for directional bias. ​ ----------------Session Times (UTC)---------------- Session Time (UTC) PHT Equivalent New York 13:00-22:00 9PM-6AM London 08:00-16:30 4PM-12:30AM Tokyo 00:00-09:00 8AM-5PM Sydney 22:00-07:00 6AM-3PM (next day) Refer to this image: Perfect for orderflow traders focusing on institutional sessions—pair with volume/delta tools to time entries on BB touches or range breaks. No DST issues; works on any timeframe.
Pine Script® indicator
by FervTrades
1
LH Alert Orb & SessionsLH Alert Orb & Session Levels LH Alert ORB & Sessions is a multi-module intraday trading overlay that combines an Opening Range Breakout (ORB) framework, automated session reference levels, and a “Sniper” alert engine designed to highlight higher-quality momentum entries during a defined New York trading window. It is optimized for index futures—especially NQ/MNQ—and is best used on a 5-minute chart for the intended balance of signal quality and structure clarity. The indicator plots EMA 10/20/200 and VWAP for trend/mean reference, then generates Sniper Long/Short alerts only when multiple conditions align: directional EMA trend (10 vs 20), reclaim confirmation relative to VWAP and EMA200 within a configurable lookback window, optional “recent cross” validation, and optional RSI and volume expansion filters. To reduce low-quality signals, the Sniper engine includes comprehensive candle-quality rules (minimum body % to avoid dojis, max wick-to-body ratios to avoid wicky indecision candles, hammer-like rejection filtering, and an optional “wick battle” filter that blocks candles where either wick represents an outsized share of the candle range). Alerts can also be gated by proximity to the current ORB and, optionally, require that both VWAP and EMA200 are contained within the opening range to enforce tighter structure-based entries. The ORB module supports a configurable opening-range duration and an optional custom session (default 08:00–08:15 UTC-5), draws the opening range box, OR High/Low/Mid levels, and optionally displays breakout markers and bias-aware target logic (all breakout signals and targets are disabled by default for a clean chart). Historical ORB drawings can be preserved or hidden based on preference. In addition, the Sessions module continuously tracks and draws key market structure levels for Asia, London, and PreMarket sessions (High/Low and an average line for each), along with prior trading day high/low using a futures-style trading day definition (rolling at 18:00 New York time). Each level is fully style-customizable (color, line style, width), providing a complete intraday roadmap of session extremes and mean levels alongside the Sniper/ORB framework. This script is intended for intraday charts only (it enforces a timeframe below 1D) and is designed to be used as an alert-driven decision aid—prioritizing confluence, structure, and candle quality to reduce noise while keeping all major components configurable via grouped settings.
Pine Script® indicator
by jgmtex05
The System THE SYSTEM — Intraday Market Regime & Decision Framework Overview THE SYSTEM is a closed-source market regime and decision-support framework designed for intraday use, specifically optimized for futures markets. The purpose of the system is not continuous signal generation, but the clear separation of tradable and non-tradable market environments, as well as the statistical reduction of decision-making errors. Applied Elements and Methodology THE SYSTEM is built upon classical technical indicator families (trend, momentum, and volatility-based calculations); however, it does not use them as standalone indicators or for direct signal generation. The roles of these indicators are functionally separated and organized into a hierarchical decision architecture. These individual elements would not provide a trading signal on their own. Architecture Overview The operation of the system is based on four mutually validating logical layers: 1. Market Regime Classification The system continuously classifies the market into one of the following states: Trending, Transitional, or Range/Chop. This classification is based on a combination of volatility, momentum, and structure-based measurements. In a Range/Chop state, signal generation is hard-blocked, and the system prohibits trading. 2. Directional Bias Engine (MTF / HTF Validation) Short-term movements are compared against higher-timeframe trend and structural analysis. The system excludes setups that run counter to the dominant direction, reducing the number of counter-trend and false breakout entries. HTF / MTF parameters are user-adjustable; any modifications are at the user's own risk. 3. Momentum & Volatility Filter Signals can only be activated if the current impulse energy exceeds an adaptive threshold and the volatility environment is statistically suitable for intraday trading. This module filters out low-participation moves, exhausted impulses, and noise-driven price fluctuations. 4. Price Action Validation Layer The system also analyzes the internal structure of candles: body-to-wick ratios, closing positions within the range, and impulse continuity. A signal is generated only if the movement is structurally consistent. Why is it not an Indicator Mashup? THE SYSTEM does not combine indicator values; it builds chains of conditions. A signal can only arise if the market environment is tradable, the direction aligns with the higher timeframe structure, the momentum and volatility are appropriate, and the price action structure is valid. If any layer fails, the system provides no signal. This logic cannot be reproduced by simply merging indicators. Visual Context Logic The background color is the system's primary decision filter: 🟢 Green – Bullish environment (long-only focus). 🔴 Red – Bearish environment (short-only focus). ⚪ Neutral – Transitional zone; both trend and reversal signals may appear. ⚫ Gray – Range / Chop state; signaling is prohibited. Technical Characteristics of Signals Long, Short, Early Exit, and Trailing Stop signals may appear intra-bar, but they only become final upon the closing of the candle. The system does not repaint on a closed candle. A yellow signal warns of momentum exhaustion but is non-deterministic and does not appear in all cases. Optimized Usage Recommended Timeframe: 5 minutes. Reliability may decrease on lower timeframes due to market noise. Typical Instruments: Index futures (NQ, ES, YM, RTY), Commodities (Gold, WTI Oil, Copper, Henry Hub Gas), and Crypto (BTC Futures / Perpetuals). Why is it invite only? The added value is not the existence of the indicators used, but their functional separation, the hierarchical decision logic, and the framework that actively filters out statistically unfavorable trades. The system's goal is not more trades, but fewer, higher-quality decisions. Disclaimer THE SYSTEM is not an automated strategy but a discretionary decision-support tool. Risk management, position sizing, and trade management are the sole responsibility of the user. Past results do not guarantee future performance.
Pine Script® indicator
by Kmvadasz
Price Acceptance MapPrice Acceptance Map Price Acceptance Map is a read-only market context indicator that evaluates whether newly asserted price levels are being accepted, rejected, or remain undefined by subsequent market behavior. Rather than treating trend continuation as confirmation, this indicator frames directional price movement as an attempt to establish a new auction level. That attempt must then be validated or rejected after the fact. The indicator follows three conceptual steps: Environment Qualification Evaluation is permitted only when market structure and volatility conditions are suitable. When these conditions are not met, the indicator intentionally remains silent. Level Assertion Detection Meaningful price expansion beyond recent balance is interpreted as a level claim. Gradual movement may result in no level being defined. Acceptance Verdict Subsequent price behavior determines whether the level is: Accepted (held by the market), Rejected (failed and returned into prior balance), or Undefined (no valid level requiring a verdict). The current state is displayed using a simple, non-interpretive panel: ACCEPTED / LEVEL ACCEPTED NOT ACCEPTED / LEVEL REJECTED UNRESOLVED / LEVEL UNDEFINED Important Notes Indicator only (no signals, no orders) Evaluated on confirmed bar close No intentional repaint or lookahead logic Designed for contextual analysis, not prediction Price Acceptance Map is intended to clarify when the market is making a decision — and when it is not.
Pine Script® indicator
by ibotrade
NY S/R Breakout V1drive.google.com drive.google.com Using ATR, VWAP, and RVOL, we can make assumed breakout lines that follow as the price develops, and when a good breakout happens, the lines won't follow but become slightly static to confirm. The best use I've seen with this indicator is when Price on the 5m closes officially above or below one of the lines, and then shows some bullish push up on the 1m, followed by VWAP price being below price if Bullish, and Above price if Bearish (A good distance is developed for an accurate VWAP) Please note that this indicator was developed using Google AI. Please comment on your thoughts, ideas, and improvements to help this indicator grow! The best settings for this are: Keep only Long Buffer, short Buffer, and VWAP on Turn off the ORB High and Low ATR - 0.3 Relative Volume Threshold - 1.2 These are the settings I found successful for finding confirmed breakouts at 9:30 AM EST, market open This code was developed by @parischristo67 Coded with Gemini
Pine Script® indicator
by parischristo67
Dual HTF EMAMulti-timeframe Exponential Moving Average (EMA) indicator plots two separate higher timeframe (HTF) EMAs of your choice. Displays four EMAs per HTF while providing optional background coloring (bullish/bearish). The background coloring occurs when two EMA's cross per HTF. User can select two of the four EMAs to determine the trend direction as they cross creating the background color. User can configure timeframe, EMA lengths, EMA cross and background, source, and visibility; separately for each timeframe. Default lengths are 9, 21, 50, 200 with source as closed and EMA cross background from EMA 1 and EMA 3. Also clear visual distinction using thick solid lines for HTF 1 and thin dashed lines for HTF 2. Uses request.security() with gaps=barmerge.gaps_on to avoid staircase effects on lower timeframes. This script is ideal for multi-timeframe analysis, helping traders align shorter-term price movements with broader trends from higher timeframes without cluttering the chart.
Pine Script® indicator
by Eightgent7
Market State Tracker🙏🏻 This is MST (Market State Tracker) , it’s main purpose is to tell whether it's better to take a predefined take-profit, or to expect a runner. Unlike widely-known alternatives, this model is made with top state-space and innovation modelling tech, and it takes the necessary info ‘itself’ (not the derivatives) from the right places. In fancy terms it’s not even a model, it’s an ensemble of several models. If you want to get familiar with other work of mine like this, check UAT . ^^ compared with reverse-engineered Jurik Moving Average in moving window mode … Main use case : take-profit engine. It tells whether to hold a position past its primary 1:1 Risk:Reward take-profit up to the opposite entry), or to close it right away at 1:1. Alternative use case : market state operator. Alternatively the study can be used as a primary market-state operator that would actually define further strategies and actions. It’s very useful if your strategies are not market regime agnostic. Otherwise, use it only as the main use case tells. Other use cases : anything that other mainstream studies are doing, but better* (proceed to the Tech Note in the end of the post): trend detection, price smoothing, crossovers, dynamic S&R etc. … How to use: The script has 2 studies, lower study (blue and red lines) and upper study (purple and gray lines). ... Lower study is less variance & more bias option , in general it’s less preferred than upper study, but if none of your other system layers do not gauge directional info directly and you wanna keep it simply this way, this lower study is what you need. Lower study states -> advised take-profit strategy: When: negative gamma (red line) is above positive gamma (blue line), market is biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward When: positive gamma (blue line) is above negative gamma (red line), market is biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward ... Upper study is the preferred one in general because of its higher informational content. Most probably, if you’re already gaining directional info on your other system layers, this one will likely provide you information you don’t gain there. Here the purple line is the lead state estimate, and the gray line is the lagged state estimate, and current price = current bar POC or HLC3 (inferred POC). Upper study states -> advised take-profit strategy: When: current price > purple line > gray line, market is heavily biased towards buy side, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward When: current price < purple line < gray line, market is heavily biased towards sell side, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward When: purple line > gray line > current price, market is biased towards another buy wave, so longs should be held up to the opposite entry, while shorts should be closed asap after 1:1 Risk:Reward When: purple line < gray line < current price, market is biased towards another sell wave, so shorts should be held up to the opposite entry, while longs should be closed asap after 1:1 Risk:Reward All other price x purple line x gray line patterns are considered neutral, and both longs and shorts are done with minimal 1:1 Risk:Reward. Important: if you trade based on current session activity, you have to track current states. If you trade based on previous session levels, you only need the last state of that session that originated the level. Important 2: The script has a setting called “blend”. The differences between all 3 options provided there are extremely low, and moreover it doesn’t change the main part: location of crossovers. So I left it here because I genuinely don’t know yet which of these is the most primordial math option for the current context xd. ... * now about this: Tech note In short: it gains all the information without touching artifacts with the best possible math that runs on O(1) time complexity. The ‘final’ time complexity of the whole method is O(1), both in moving and expanding window modes. The main short-term forecasting & innovations engine, I called it VAPM (Volume Acceleration Price Model) , is inspired by how prediction and NaN fills works on the lowest hardware level, processor cache etc. It’s based on splines , the most fundamental geometrical principles. This is the stuff you can run on FPGAs doing UHFT, not even HFT. Based on lead/lag and negative/positive relationships with the VAPM forecasts, innovations are separated into 4 different streams. Each stream of these 4 then discovers its own adaptive gain (limited by theoretical constraints of the exponential distribution each stream follows). Then, 4 separate PVA (Position Velocity Acceleration) state-space models are run on POC estimate of each bar, using previously computed 4 different adaptive gains. Initial impulse response of the models was almost exactly matched with the Extended Beta(2, 2) Window, provided in UAT open access script (heck the code & description, it would worth it). Then these 4 separate trackers are grouped pairwise and blended into 2, resulting in the lead/lag model. Additionally, 4 adaptive gains are blended into 2 separate pos/neg models. I offer 3 blending options: max(), contraharmonic mean, and Log-Sum-Exp. The differences of outputs based on these 3 options are almost negligible. All possible hidden issues like info leakage from previous finished expanding windows, or special cases of forecasts at the very few first datapoints, are taken into account and solved. The whole method has zero constants and zero pre-optimized or arbitrary values, everything based on fundamental math entities / objects. … ∞
Pine Script® indicator
by gorx1
Sector Rotation Dashboard (Beta)🎯 OVERVIEW The Sector Rotation Indicator is a comprehensive real-time dashboard that tracks money flow across all 11 S&P 500 sector ETFs and 6 major macro assets. It automatically detects market regimes (Risk-On, Risk-Off, Tech-Led), flags anomalies, and shows you where institutional money is flowing. Whether you're trading individual stocks, sector ETFs, or managing a portfolio, this indicator tells you: • Which sectors are leading/lagging (ranked by relative strength) • What market regime we're in (Risk-On, Risk-Off, Tech-Led, Mixed) • Where the anomalies are (sectors behaving unexpectedly) • How confident the signals are (based on cross-sector confirmation) • What sector ETF the current chart ticker belongs to, if any (with rank and RS%) 🚧 BETA NOTICE ⚠️ This indicator is currently in BETA. IMPORTANT - ETF Holdings Database: • The 500+ stock-to-sector mappings are based on actual ETF holdings • SPDR sector ETFs rebalance quarterly (3rd Friday of Mar/Jun/Sep/Dec) • Holdings data requires MANUAL updating by the creator after each rebalance • Users may experience DELAYS in data updates following rebalance dates • Some newly added or removed stocks may be temporarily misclassified 📊 WHAT IT TRACKS 11 SPDR Sector ETFs: • XLE (Energy) - Cyclical • XLF (Financials) - Cyclical • XLI (Industrials) - Cyclical • XLY (Consumer Discretionary) - Cyclical • XLB (Materials) - Cyclical • XLK (Technology) - Growth • XLC (Communication Services) - Growth • XLV (Healthcare) - Defensive • XLP (Consumer Staples) - Defensive • XLU (Utilities) - Defensive • XLRE (Real Estate) - Defensive 6 Macro Assets: • GLD (Gold) - Safe Haven • TLT (20+ Year Treasuries) - Safe Haven • UUP (US Dollar Index) - Currency • DBC (Commodities) - Risk/Inflation • EEM (Emerging Markets) - Risk Appetite • IBIT (Bitcoin) - Speculative 🔥 KEY FEATURES 1️⃣ Real-Time Sector Rankings • All 11 sectors ranked by Relative Strength (RS) vs SPX • Dual color coding: Background = RS, Text = Absolute performance • Trend arrows showing momentum (↑↑, ↑, →, ↓, ↓↓) • Rank change tracking with configurable alert threshold 2️⃣ Intelligent Regime Detection • Risk-On: Cyclicals leading (XLE, XLF, XLI, XLY, XLB) • Risk-Off: Defensives leading (XLV, XLP, XLU, XLRE) • Tech-Led: Growth dominating (XLK, XLC) • Mixed: No clear leadership • High Volatility: Signals unreliable 3️⃣ Anomaly Detection System • Flags sectors that jump/drop 3+ ranks • Detects behavioral anomalies (e.g., Energy #1 in Risk-Off) • High volatility warnings when multiple sectors show extreme moves • Dynamic tooltips explain WHY each anomaly is flagged 4️⃣ Confidence Scoring • Counts how many sectors confirm the current regime • High (7+), Medium (5-6), Low (<5) confidence levels • Shows exactly which sectors are confirming vs diverging 5️⃣ Current Ticker Classification • Built-in database of 500+ stock tickers mapped to sector ETFs • Shows your current chart's sector, rank, and RS • Dual classification: ETF Holdings + TradingView (mismatch detection) 6️⃣ Macro Cross-Asset Flow • Tracks 6 macro assets for broader market context • Interprets flows: Risk-Off Flow, Risk-On Flow, Flight to Safety • Equity outflow warnings when safe havens beat SPX significantly 7️⃣ Educational Tooltips • Hover over ANY cell for detailed explanations • Dynamic tooltips show live data + educational context • Learn what drives each signal while you trade 📖 HOW TO READ THE DASHBOARD Sector Panel: • Green background = Outperforming SPX (positive RS) • Red background = Underperforming SPX (negative RS) • Green text = Positive absolute return • Red text = Negative absolute return • Δ column shows rank changes (⚠️ = significant move) Interpretation Panel: • ROTATION → Describes current sector movement pattern • REGIME → Current market environment classification • ALERT → Anomalies detected or "All Clear" status • CONFIDENCE → Signal reliability score with breakdown Macro Panel: • Signal column: Strong > Bid > Neutral > Offered > Weak • FLOW row: Summary of cross-asset money movement ⚙️ SETTINGS & RECOMMENDATIONS PRIMARY TIMEFRAME (days) - Default: 20 Lookback period for RS calculation. • 5-10 days: Day/swing traders - responsive but noisier • 20 days: Most traders - good balance of signal vs noise ⭐ • 50 days: Position traders - smooth, confirms established trends • 100+ days: Investors - major regime shifts only Tip: Match to your typical holding period. TREND TIMEFRAME (days) - Default: 5 Shorter lookback for momentum arrows (↑↑ ↑ → ↓ ↓↓). • 3 days: Aggressive - more sensitive, more arrow changes • 5 days: Most traders - catches momentum shifts without whipsaws ⭐ • 10 days: Conservative - smoother, fewer false reversals Tip: Keep at 1/4 to 1/5 of Primary Timeframe. ALERT THRESHOLD (ranks) - Default: 3 Minimum rank change to trigger ⚠️ anomaly alert. • 2 ranks: Active traders - more alerts, catches smaller rotations • 3 ranks: Most traders - significant moves only (e.g., #8→#5) ⭐ • 4-5 ranks: Swing/position - major disruptions only, high conviction Tip: Lower = more alerts, Higher = fewer but stronger signals. RECOMMENDED COMBINATIONS BY TRADING STYLE: • Day Trading: Primary 10, Trend 3, Alert 2 • Swing Trading: Primary 20, Trend 5, Alert 3 • Position Trading: Primary 50, Trend 10, Alert 4 • Long-term Investing: Primary 100, Trend 20, Alert 5 OTHER SETTINGS: • 44+ color and opacity controls for full customization • Dark/Light theme support • Compact view (Top 3 + Bottom 3) or Full view (all 11) • Show/hide interpretation panel 🚨 BUILT-IN ALERTS • Sector rotation changes (Cyclical ↔ Defensive) • Regime changes (Risk-On ↔ Risk-Off ↔ Tech-Led) • Large rank movements (configurable threshold) • Equity outflow detection • Safe haven bid alerts • Global risk-on signals 💡 TRADING APPLICATIONS For Stock Traders: • See if your stock's sector is leading or lagging • Avoid fighting the sector trend • Find stocks in leading sectors for momentum plays For Sector Rotators: • Identify rotation early with rank change alerts • Confirm regime with confidence scoring • Spot anomalies that may signal turning points For Portfolio Managers: • Monitor risk-on/risk-off positioning • Track cross-asset correlations • Get early warning of defensive rotations For Macro Traders: • Cross-reference sector rotation with macro flows • Identify flight-to-safety episodes • Track inflation hedge positioning 📝 TECHNICAL NOTES • Data Source: TradingView sector data + custom ETF holdings database • ETF Holdings: 500+ tickers mapped to sector ETFs (manually maintained) • Rebalancing: SPDR ETFs rebalance on 3rd Friday of Mar/Jun/Sep/Dec • Best Timeframe: Daily recommended, works on all timeframes • Performance: Optimized for minimal lag despite tracking 17 assets • Pine Script: Version 6 ⚠️ DATA UPDATE SCHEDULE: The ETF holdings database is manually updated by the creator following each quarterly rebalance. Updates are typically completed within 1-2 weeks after the official rebalance date. During this period, some ticker classifications may be outdated. The indicator will fall back to TradingView's sector classification for any tickers not found in the database. ⚠️ DISCLAIMER This indicator is currently in BETA. Features may change, and bugs may exist. This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and consider your risk tolerance before making trading decisions. Past performance does not guarantee future results.
Pine Script® indicator
by kisaragi01
Ghost Protocol [Bit2Billions]📌 Ghost Protocol — RSI Percentile Momentum Engine Ghost Protocol is a closed-source RSI momentum indicator built around a non-standard RSI calculation method designed to solve a core limitation of traditional RSI tools: fixed threshold bias. Standard RSI uses static levels (30/70 or 20/80), which assume all markets, assets, and volatility regimes behave the same. In practice, this causes false signals, late divergences, and inconsistent momentum interpretation. Ghost Protocol replaces fixed RSI thresholds with a percentile-ranked RSI distribution model, allowing momentum to be evaluated relative to its own historical behavior rather than absolute levels. 📌 Core Calculation Method (Non-Standard RSI Implementation) Instead of interpreting RSI using fixed values, Ghost Protocol evaluates RSI using: * A rolling RSI distribution * Percentile ranking of RSI values within that distribution * Volatility-aware normalization of momentum extremes This means: * “Overbought” and “oversold” conditions are defined by relative momentum rarity, not static numbers. * RSI adapts automatically to different instruments and volatility regimes. * Momentum signals remain consistent across markets without manual tuning. This calculation method cannot be replicated using built-in RSI alone, as built-ins do not provide percentile-based RSI context or distribution awareness. 📌 How the Components Work Together All modules in Ghost Protocol reference the same percentile-based RSI state: 1. Percentile RSI Core defines momentum pressure relative to historical distribution. 2. Divergence Detection compares price swings against percentile-ranked RSI swings, reducing false signals caused by static RSI levels. 3. Trend & Regime Filtering evaluates whether momentum is expanding, compressing, or exhausting based on percentile persistence rather than crossings. 4. Multi-Timeframe Alignment compares percentile RSI states across timeframes using normalized momentum, not raw RSI values. Because every component references the same normalized RSI context, signals confirm or invalidate each other instead of conflicting. 📌 What Problem This Script Solves Ghost Protocol is designed for traders who struggle with: * RSI behaving differently across assets * Fixed OB/OS levels failing in trending markets * Divergences appearing too late or inconsistently * Multiple RSI tools giving contradictory signals * Manual RSI calibration per instrument By using percentile-based RSI logic, Ghost Protocol provides: * Consistent momentum interpretation * Regime-aware RSI behavior * Contextual divergence detection * Cleaner, more reliable momentum structure 📌 How Traders Use Ghost Protocol Ghost Protocol is not a signal generator. Traders use it to: * Identify momentum expansion vs exhaustion * Evaluate divergence strength in context * Confirm trend continuation or weakening pressure * Align momentum across timeframes All outputs are designed for decision context, not automated entries. 📌 Why This Script Is Original Ghost Protocol does not modify RSI visually—it redefines how RSI is interpreted. Originality comes from: * Percentile-based RSI evaluation * Distribution-aware momentum logic * Contextual divergence validation * Unified RSI state shared across all modules This approach cannot be reproduced by stacking public RSI indicators or using built-in thresholds. 📌 Why This Script Is Invite-Only Ghost Protocol is offered as a closed-source script because its value lies in the calculation model, not the visual elements. The script replaces: * Manual RSI tuning * Multiple RSI variants * Separate divergence tools * Multi-timeframe RSI comparisons This level of consistency and normalization requires proprietary logic and is therefore provided as an invite-only indicator. 📌 Key Components & Intent #RSI Candles (Standard & Heikin-Ashi) Purpose: clearer momentum transitions and divergence readability. #Divergence Engine Detects: • Regular divergence • Hidden divergence • Ghost Candidate pre-divergence Purpose: identify exhaustion before price confirmation. #Adaptive RSI Zones Zones adjust based on: • Volatility • Displacement • Trend direction Purpose: eliminate static OB/OS bias. #RSI Ichimoku Cloud Shows: • Regime bias • Momentum compression/expansion • Equilibrium shifts Purpose: identify internal RSI regime transitions. #RSI Trendlines Automatically maps momentum structure. Purpose: remove manual RSI drawing. #Relative Trend Index Evaluates trend alignment across multiple timeframes. 📌 Dashboard Metrics (Contextual, Not Signal-Based) Provides a consolidated view of: • Volatility • Volume • VWAP vs price • EMA sentiment and structure • RSI and price OB/OS statistics • Relative trend alignment • ATR state and trailing stop context Purpose: decision context, not trade automation. 📌 Visual Design & Usability • Only real-time labels are displayed • Historical clutter is hidden • Consistent color and line hierarchy • Clear distinction between divergence types and momentum states This design supports institutional-style momentum reading, not signal spam. 📌 Summary Ghost Protocol is a closed-source, invite-only RSI intelligence system built on original logic. Its mashup structure is intentional, necessary, and justified, because it solves real RSI limitations that cannot be addressed by isolated tools. This script delivers clear analytical value, coherent momentum interpretation, and a professional workflow worthy of a paid publication. 📌 Recommended Use * Best on: 15m, 1H, 4H, Daily, Weekly * Works across: crypto, forex, indices, liquid equities * Pivot-style modules may show noise in illiquid markets 📌 Performance Notes * Heavy modules may draw many objects → disable unused tools * Refresh chart if buffer limits are approached * Internal handling of TradingView object rules 📌 License * Proprietary script © 2025 * Independently developed * Redistribution, sharing, resale, or decompilation prohibited * Similarities to public tools result only from shared market concepts 📌 Respect & Transparency Built using widely-recognized RSI concepts, but extended with proprietary logic. Developed with respect for the TradingView community. Any overlaps can be addressed openly and constructively. 📌 Disclaimer For educational and research use only. Not financial advice. Always test responsibly and manage risk. 📌 FAQs * Source code is intentionally private * Modules can be toggled * Alerts can be configured manually * Works on all major markets and timeframes 📌 About Ghost Trading Suite Author: BIT2BILLIONS Project: Ghost Trading Suite © 2025 Indicators: Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow Strategies: Ghost Robo, Ghost Robo Plus Pine Version: V6 The Ghost Trading Suite is designed to simplify and automate many aspects of chart analysis. It helps traders identify market structure, divergences, support and resistance levels, and momentum efficiently, reducing manual charting time. The suite includes several integrated tools — such as Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow, Ghost Robo, and Ghost Robo Plus — each combining analytical modules for enhanced clarity in trend direction, volatility, pivot detection, and momentum tracking. Together, these tools form a cohesive framework that assists in visualizing market behavior, measuring momentum, detecting pivots, and analyzing price structure effectively. This project focuses on providing adaptable and professional-grade tools that turn complex market data into clear, actionable insights for technical analysis. Crafted with 💖 by BIT2BILLIONS for Traders. That's All Folks! 📌 Changelog v1.0 – Initial Release * Added RSI Candles (Standard & Heiken-Ashi) for enhanced trend and divergence clarity. * Implemented Divergence Engine to highlight both regular and hidden divergences automatically. * Introduced Live Ghost Candidates to visualize forming divergence setups. * Added Adaptive RSI Zones for dynamic overbought and oversold thresholds. * Integrated Trend Index using percentile volatility sampling for directional bias. * Added RSI Ichimoku Cloud for equilibrium and momentum zone visualization. * Implemented RSI Trend Lines for auto support/resistance on RSI. * Added Momentum Shift Visualization and real-time momentum tracking. * Introduced Relative Trend Index for multi-timeframe trend strength analysis. * Developed Dashboard Module displaying volatility, volume, EMA trends, RSI/price overbought-oversold percentages, relative trend, and ATR-based metrics.
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