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OmniDeck - Unified Chart OverlayOmniDeck - Unified Chart Overlay OmniDeck consolidates ten independent trading systems into a single, coherent chart overlay — eliminating the need to manage multiple indicators while preserving the analytical depth of each methodology. The indicator is designed to help traders see how Exhaustion Counter, SuperTrend, EMAs, Bull Market Support Band, volatility squeeze, supply/demand zones, liquidity sweeps, candlestick patterns, regime detection, and confluence scoring all interact on the same chart, at the same time. Instead of switching between indicators and mentally synthesizing their outputs, OmniDeck presents everything in one unified view with a real-time confluence score that quantifies how many systems are aligned. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪 Most traders face a common challenge: important signals are scattered across multiple indicators, making it difficult to see how different analytical methods align or conflict. Adding ten separate indicators creates visual chaos. Switching between them means missing the bigger picture. And mentally tracking which signals agree versus conflict is cognitively exhausting. OmniDeck running on a single chart — exhaustion counts, SuperTrend line, EMA stack, supply/demand zones, liquidity sweep markers, and the confluence panel all visible simultaneously without chart clutter. OmniDeck addresses this by unifying ten distinct analytical systems into a single overlay: • 𝗘𝘅𝗵𝗮𝘂𝘀𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗻𝘁𝗲𝗿 — Identifies potential exhaustion points through sequential counting (8 warns, 9 completes) • 𝗦𝘂𝗽𝗲𝗿𝗧𝗿𝗲𝗻𝗱 𝗖𝗼𝗻𝘀𝗲𝗻𝘀𝘂𝘀 — Combines three ATR multipliers (2/3/4) so you get agreement, not just one setting • 𝗘𝗠𝗔 𝗦𝘁𝗮𝗰𝗸 — 50/100/200 EMAs with automatic Golden Cross and Death Cross detection • 𝗕𝘂𝗹𝗹 𝗠𝗮𝗿𝗸𝗲𝘁 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗕𝗮𝗻𝗱 — The classic 20 SMA / 21 EMA zone for trend support analysis • 𝗦𝗾𝘂𝗲𝗲𝘇𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 — Bollinger Bands inside Keltner Channels = volatility compression incoming • 𝗦𝘂𝗽𝗽𝗹𝘆/𝗗𝗲𝗺𝗮𝗻𝗱 𝗭𝗼𝗻𝗲𝘀 — Auto-detected pivot zones with quality grades (A/B/C) based on freshness, distance, and touch count • 𝗟𝗶𝗾𝘂𝗶𝗱𝗶𝘁𝘆 𝗦𝘄𝗲𝗲𝗽𝘀 — Wicks that grab stops and reverse, marked with 💧 (bullish) and 🩸 (bearish) • 𝗖𝗮𝗻𝗱𝗹𝗲𝘀𝘁𝗶𝗰𝗸 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 — 16 classic patterns filtered by swing location to reduce noise • 𝗥𝗲𝗴𝗶𝗺𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 — Background tinting shows bull/bear regime at a glance • 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗣𝗮𝗻𝗲𝗹 — Real-time weighted score showing how many systems agree, with optional multi-timeframe input The goal is not to provide more signals, but to provide clearer context by showing how different methods agree or disagree at any given moment. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗛𝗢𝗪 𝗜𝗧 𝗪𝗢𝗥𝗞𝗦 The indicator is built around one core principle: confluence between independent analytical methods may provide more context than any single method alone. When Exhaustion Counter, SuperTrend, EMAs, and structural zones all point the same direction, that's different from when they conflict. 𝗘𝘅𝗵𝗮𝘂𝘀𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗻𝘁𝗲𝗿 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: Counts consecutive bars that close higher or lower than the close four bars prior. When a sequence reaches eight, a warning marker appears. At nine, the setup is considered complete. A "perfected" nine occurs when specific low or high conditions are met relative to earlier bars in the sequence. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: A count of 8 may indicate the trend is becoming extended. A count of 9 suggests potential exhaustion where a pause or reversal could occur. These counts should not be followed blindly and do not guarantee any particular outcome. Exhaustion Counter in action — the "8" warning appears as the move extends, followed by the "9" completion. Notice the bearish Count 8 warning occurring right at a supply zone (red box, top right), providing confluence between exhaustion counting and structural resistance. 𝗦𝘂𝗽𝗲𝗿𝗧𝗿𝗲𝗻𝗱 𝗖𝗼𝗻𝘀𝗲𝗻𝘀𝘂𝘀 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: Most SuperTrend indicators use a single ATR multiplier — but which one? 2x ATR is responsive but whippy. 4x ATR is smooth but late. OmniDeck calculates three separate SuperTrend lines using ATR multipliers of 2, 3, and 4. When at least two of three agree on direction, the consensus line displays. A dot marker appears when the consensus direction changes. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: The consensus approach may help filter noise compared to a single SuperTrend. When price is above a rising consensus line, this suggests bullish conditions. Direction changes marked by dots (●) may warrant attention as potential trend shifts. Adaptive SuperTrend in action — during this choppy correction, a standard single-setting SuperTrend would have flipped multiple times. The consensus approach (requiring 2 of 3 ATR settings to agree) held the trend, filtering out noise and maintaining directional confidence. 𝗘𝗠𝗔 𝗦𝘁𝗮𝗰𝗸 & 𝗚𝗼𝗹𝗱𝗲𝗻/𝗗𝗲𝗮𝘁𝗵 𝗖𝗿𝗼𝘀𝘀 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: Plots three exponential moving averages at 50, 100, and 200 periods. Automatically detects and labels Golden Cross (50 crossing above 200) and Death Cross (50 crossing below 200) events — you don't have to watch for them manually. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: When EMAs are stacked bullishly (50 above 100 above 200), this may indicate an uptrend environment. The reverse stacking may suggest a downtrend. Cross events are historically significant but do not predict future price action. 𝗕𝘂𝗹𝗹 𝗠𝗮𝗿𝗸𝗲𝘁 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗕𝗮𝗻𝗱 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: Displays the 20-period SMA and 21-period EMA as a filled band. This is a classic technical analysis tool popularized for identifying potential support during uptrends. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: Price holding above the band may suggest bullish conditions. Price crossing below may indicate weakening momentum. The band itself is not a signal but a reference zone for context. 𝗦𝗾𝘂𝗲𝗲𝘇𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: Identifies when Bollinger Bands are trading inside Keltner Channels — the classic "squeeze" setup indicating compressed volatility. When the squeeze releases, an arrow (▲/▼) indicates the momentum direction at the time of release. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: Volatility compression often precedes expansion. The squeeze cloud highlights these periods visually. The direction of the subsequent move is not guaranteed by the squeeze itself — but knowing compression is present may inform position sizing or timing decisions. 𝗦𝘂𝗽𝗽𝗹𝘆/𝗗𝗲𝗺𝗮𝗻𝗱 𝗭𝗼𝗻𝗲𝘀 𝘄𝗶𝘁𝗵 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗚𝗿𝗮𝗱𝗶𝗻𝗴 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: Detects pivot-based supply and demand zones using left and right bar confirmation. But here's what makes this different: each zone receives a quality grade (A, B, or C) based on freshness, distance from current price, and touch count. Fresh, untested zones near price get higher grades. Old, multiple-touched zones get lower grades. Zones can also merge when they overlap significantly. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: Zones represent areas where price previously showed reaction. Higher-graded zones may indicate stronger historical significance. Price entering a zone does not guarantee a reaction — but an A-grade demand zone with a Count 9 Buy and bullish candlestick pattern is a very different situation than a C-grade zone with no other confluence. Supply and demand zones with quality grades visible. The "A" grade supply zone (red box) shows high confluence with nearby structure. The "C" grade demand zone (green box, bottom) has been touched multiple times and degraded. Price bounced off the demand zone near EMA 200, demonstrating zone and moving average confluence. 𝗟𝗶𝗾𝘂𝗶𝗱𝗶𝘁𝘆 𝗦𝘄𝗲𝗲𝗽𝘀 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: Identifies candles where the wick extends beyond the recent high or low (12-bar lookback) but the close returns inside that level — the classic "stop hunt" pattern. A minimum wick-to-range ratio filters for significant wicks. Bullish sweeps display 💧 below the candle. Bearish sweeps display 🩸 above. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: These patterns may indicate that stops were triggered before price reversed. The emoji markers make these events immediately visible. They do not guarantee continuation in the reversal direction — but a 💧 at a demand zone with regime background turning green is a very different context than an isolated sweep. Liquidity sweeps in action — the 🩸 marker (top) appears after price wicked above recent highs and closed back inside, grabbing stops before reversing down. The 💧 markers (bottom) show bullish sweeps where price wicked below recent lows and reversed. Notice the April sweep followed by a sustained move higher. 𝗖𝗮𝗻𝗱𝗹𝗲𝘀𝘁𝗶𝗰𝗸 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: Recognizes sixteen classic patterns including Hammer, Inverted Hammer, Hanging Man, Shooting Star, Engulfing, Harami, Morning Star, Evening Star, Three White Soldiers, Three Black Crows, Rising Three Methods, Falling Three Methods, and Tweezers. Critically: patterns are filtered by swing location to reduce false positives — a Hammer means more at a swing low than in the middle of a range. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: Bullish patterns appearing at swing lows may be more significant. Bearish patterns at swing highs may warrant more attention. Pattern recognition is a visual aid and does not constitute a trading signal — but an Engulfing pattern at a demand zone with Count 8 warning is stronger context than pattern recognition alone. 𝗥𝗲𝗴𝗶𝗺𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: Uses a four-vote system based on EMA relationship, price position relative to a longer EMA, slope direction, and directional movement to determine overall market regime. A confirmation period and minimum hold time prevent rapid flipping. The background tints green (bullish) or red (bearish) to reflect the current regime. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: The background color provides ambient context without requiring active interpretation. You can see at a glance whether the regime system considers conditions bullish or bearish. Regime changes tend to lag price action by design — they confirm rather than predict. 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗣𝗮𝗻𝗲𝗹 𝘞𝘩𝘢𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴: This is where everything comes together. The confluence panel aggregates signals from all active systems into a weighted score. Different events carry different weights. The panel displays in two modes: • 𝗕𝗮𝗱𝗴𝗲 𝗠𝗼𝗱𝗲: Compact view showing directional arrow, numerical score, and strength bar • 𝗧𝗮𝗯𝗹𝗲 𝗠𝗼𝗱𝗲: Detailed view showing each system's current contribution with timeframe labels Multi-timeframe inputs allow the confluence calculation to incorporate higher timeframe data — so you can see if the Daily SuperTrend agrees with your 1H chart. 𝘏𝘰𝘸 𝘵𝘰 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘪𝘵: Higher scores indicate more systems are aligned in one direction. A score of 6+ may indicate strong confluence. The score is informational and does not recommend any action — but it quantifies something traders usually have to track mentally. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗪𝗛𝗬 𝗧𝗛𝗘𝗦𝗘 𝗖𝗢𝗠𝗣𝗢𝗡𝗘𝗡𝗧𝗦 𝗪𝗢𝗥𝗞 𝗧𝗢𝗚𝗘𝗧𝗛𝗘𝗥 Each system analyzes price from a different perspective using different mathematics. When multiple independent methods point in the same direction, this may provide more context than any single method. 1. 𝗧𝗿𝗲𝗻𝗱 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 — SuperTrend (ATR-based), EMA Stack (moving average-based), Regime (multi-factor), and BMSB (dual-MA) each assess trend from different angles using different calculations 2. 𝗘𝘅𝗵𝗮𝘂𝘀𝘁𝗶𝗼𝗻 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 — Exhaustion Counter (counting logic), candlestick patterns (price structure), and liquidity sweeps (wick analysis) may identify potential turning points through completely different methodologies 3. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 — Supply/Demand zones (pivot-based) and EMA levels (dynamic) provide price structure context 4. 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 — Squeeze detection highlights periods of compression that may precede expansion The power of confluence — at the April low, a bullish sweep (💧) grabbed stops below, SuperTrend flipped bullish, regime turned bullish, and price sat at a demand zone. The confluence panel (right) shows the score at 3.5 with multiple systems aligned. Rally followed. This is what OmniDeck reveals: multiple independent systems confirming at the same moment. When multiple factors align — for example, a Count 9 at a demand zone with a bullish candlestick pattern while SuperTrend is up — this represents multiple independent confirmations from unrelated mathematical methods. Such conditions may warrant additional analysis, 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: 𝗔𝘀𝘀𝗲𝘀𝘀 𝘁𝗵𝗲 𝗥𝗲𝗴𝗶𝗺𝗲 Begin by observing the background color. This provides immediate context about the overall market environment without requiring detailed analysis. • Green background tinting indicates the regime detection system has identified bullish conditions • Red background tinting indicates bearish conditions have been detected • This ambient information helps frame all other signals The regime detection uses a confirmation system that prevents rapid flipping, so changes tend to be meaningful when they occur. 𝗦𝘁𝗲𝗽 𝟮: 𝗖𝗵𝗲𝗰𝗸 𝗧𝗿𝗲𝗻𝗱 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 Look at the SuperTrend line and EMA positioning. When analyzing potential opportunities, consider whether these trend indicators agree. • SuperTrend consensus line below price with upward slope may suggest bullish trend • EMAs stacked bullishly (50 above 100 above 200) may confirm uptrend structure • Disagreement between systems may indicate transitional or unclear conditions The confluence panel in Badge mode provides a quick numerical summary of this alignment. 𝗦𝘁𝗲𝗽 𝟯: 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝗞𝗲𝘆 𝗟𝗲𝘃𝗲𝗹𝘀 If Supply/Demand zones are enabled, observe where the nearest zones are relative to current price. • Demand zones below price represent areas where buying previously emerged • Supply zones above price represent areas where selling previously emerged • Zone quality grades (A, B, C) indicate relative significance — prioritize A-grade zones The zone labels show "supply" or "demand" inside each box, with the grade displayed at the zone's origin point. 𝗦𝘁𝗲𝗽 𝟰: 𝗪𝗮𝘁𝗰𝗵 𝗳𝗼𝗿 𝗘𝘃𝗲𝗻𝘁𝘀 Several event types may appear on the chart: • Exhaustion Counter numbers (8 and 9) indicate exhaustion counts — watch for these at key levels • Candlestick pattern labels (HMR, ENG, MS, etc.) indicate recognized formations • Liquidity sweep markers (💧 below or 🩸 above) indicate wick-based sweep events • SuperTrend flip dots (●) indicate direction changes • GC/DC labels indicate Golden Cross or Death Cross events • Squeeze arrows (▲/▼) indicate volatility release direction Each event provides context but should be interpreted within the broader picture, not in isolation. 𝗦𝘁𝗲𝗽 𝟱: 𝗖𝗼𝗺𝗯𝗶𝗻𝗲 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗙𝗮𝗰𝘁𝗼𝗿𝘀 The indicator provides the most context when multiple elements align: 𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘈 — 𝘉𝘶𝘭𝘭𝘪𝘴𝘩 𝘊𝘰𝘯𝘧𝘭𝘶𝘦𝘯𝘤𝘦: Price pulls back to the Bull Market Support Band during a bullish regime (green background), a Count 8 appears warning of exhaustion in the pullback, and a Hammer pattern forms at an A-grade demand zone. The confluence panel shows 6+. This represents multiple systems identifying a potential support area simultaneously. Such conditions may warrant closer examination, though no outcome is guaranteed. 𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘉 — 𝘚𝘲𝘶𝘦𝘦𝘻𝘦 𝘉𝘳𝘦𝘢𝘬𝘰𝘶𝘵: A squeeze has been building for several bars (purple cloud visible), the regime is bullish, SuperTrend is up, and the confluence panel shows a score of 7. When the squeeze releases with an upward arrow (▲), this represents volatility expansion in the direction of the prevailing trend signals. The alignment does not guarantee continuation. 𝘌𝘹𝘢𝘮𝘱𝘭𝘦 𝘚𝘤𝘦𝘯𝘢𝘳𝘪𝘰 𝘊 — 𝘉𝘦𝘢𝘳𝘪𝘴𝘩 𝘊𝘰𝘯𝘧𝘭𝘶𝘦𝘯𝘤𝘦: A Count 9 Sell appears while price is at a B-grade supply zone, regime background is red, a 🩸 sweep marker appears on the same candle showing stops were grabbed above. This represents exhaustion signals clustering near resistance during bearish conditions. These observations are informational and do not constitute trading recommendations. 𝗦𝘁𝗲𝗽 𝟲: 𝗨𝘀𝗲 𝘁𝗵𝗲 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗣𝗮𝗻𝗲𝗹 The confluence panel synthesizes signals into a single view: • Badge mode shows a directional arrow, numerical score, and strength bar — glanceable • Table mode shows each system's current contribution with timeframe labels — detailed • Higher scores indicate more systems aligned in one direction • Scores of 6 or above trigger the High Confluence alert condition Switch between Badge and Table mode based on whether you prefer a quick summary or detailed breakdown. Badge is great for mobile; Table is great for detailed analysis. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗡𝗔𝗩𝗜𝗚𝗔𝗧𝗜𝗡𝗚 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗧 𝗠𝗔𝗥𝗞𝗘𝗧 𝗖𝗢𝗡𝗗𝗜𝗧𝗜𝗢𝗡𝗦 𝗧𝗿𝗲𝗻𝗱𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝘀 In trending conditions, the regime background provides consistent coloring, SuperTrend tracks below (uptrend) or above (downtrend) price, and EMAs maintain their stack order. Exhaustion Counter counts may reach completion multiple times during extended trends without reversals occurring — this is normal. During trends, focus on: • The BMSB and SuperTrend as dynamic reference levels for pullback entries • Supply and demand zones that align with trend direction • High confluence scores as confirmation of trend strength Supply and demand zones may be swept through without sustained reaction in strong trends. 𝗥𝗮𝗻𝗴𝗶𝗻𝗴 𝗠𝗮𝗿𝗸𝗲𝘁𝘀 In ranging conditions, the regime may flip more frequently or show conflicting signals. SuperTrend may generate multiple direction changes as price oscillates. EMAs may compress together and lose their stack order. In these conditions, focus on: • Supply and demand zones as range boundaries • Squeeze detection — compression often occurs during consolidation • Lower confluence scores as systems disagree The confluence score may remain low as systems disagree — this itself is useful information indicating unclear conditions. 𝗛𝗶𝗴𝗵 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗘𝘃𝗲𝗻𝘁𝘀 During high volatility, multiple signals may cluster together as price moves rapidly. Liquidity sweeps may become more frequent as wicks extend beyond recent ranges. Exhaustion counts may complete quickly. Candlestick patterns may form in rapid succession. The confluence panel may show extreme scores in either direction. These conditions require careful interpretation as signals may whipsaw. The non-repainting design ensures that historical signals remain consistent with what would have appeared in real-time — so you can backtest how the indicator behaved during past volatile events. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗗𝗘𝗧𝗔𝗜𝗟𝗦 • Exhaustion Counter uses bar close comparison with four-bar offset for counting logic • SuperTrend consensus requires 2-of-3 ATR band agreement for direction determination • Supply/Demand zones use left and right bar confirmation for pivot detection • Zone quality scoring considers freshness, proximity, and touch count • Liquidity sweep detection uses a wick-to-range ratio filter for quality control • Regime detection uses a four-vote majority system with confirmation period and minimum hold time • Candlestick patterns are filtered by swing location using a lookback window • All signals fire on bar close only (non-repainting architecture) • Multi-timeframe data retrieved using request.security() with lookahead disabled ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗨𝗡𝗜𝗤𝗨𝗘 𝗙𝗘𝗔𝗧𝗨𝗥𝗘𝗦 • 𝗔𝗱𝗮𝗽𝘁𝗶𝘃𝗲 𝗦𝘂𝗽𝗲𝗿𝗧𝗿𝗲𝗻𝗱 𝗖𝗼𝗻𝘀𝗲𝗻𝘀𝘂𝘀 — Standard SuperTrend uses a single ATR setting: responsive but whippy, or smooth but laggy. OmniDeck calculates three SuperTrends (2x, 3x, 4x ATR) and requires two of three to agree before flipping. The result: a trend line that adapts to volatility, filters out noise during corrections, and only changes direction when multiple sensitivity levels confirm. During choppy pullbacks, it holds the trend instead of whipsawing — giving you confidence to stay positioned while others panic. • 𝗧𝗲𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗢𝗻𝗲 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 — Replace ten separate indicators with one unified overlay. Less chart clutter, more analytical depth. • 𝗚𝗿𝗼𝘂𝗽𝗲𝗱 𝗖𝗼𝗹𝗼𝗿 𝗦𝘆𝘀𝘁𝗲𝗺 — Colors organized by analytical function: Trend systems share one palette, Exhaustion systems share another. Systems that work together look alike, making pattern recognition intuitive. • 𝗠𝘂𝗹𝘁𝗶-𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 — Each system can pull data from a different timeframe for the confluence calculation. See if Daily SuperTrend agrees with your 1H chart. • 𝗭𝗼𝗻𝗲 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗶𝗻𝗴 — Supply/Demand zones receive letter grades (A/B/C) based on confluence with key levels. Zones near VWAP, previous day high/low, or EMAs score higher. Not all zones are equal. • 𝗦𝘄𝗲𝗲𝗽 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 — Distinctive emoji markers (💧/🩸) for immediate visual identification of liquidity events. Spot stop hunts at a glance. • 𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗼𝗴𝗴𝗹𝗲 — One-click control to show all systems, hide all systems, or use manual individual toggles. Clean up your chart instantly. • 𝗡𝗼𝗻-𝗥𝗲𝗽𝗮𝗶𝗻𝘁𝗶𝗻𝗴 — All calculations use confirmed bar data only. Historical display matches what would have appeared in real-time. What you see in backtesting is what you would have seen live. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗦𝗘𝗧𝗧𝗜𝗡𝗚𝗦 𝗢𝗩𝗘𝗥𝗩𝗜𝗘𝗪 • ① 𝗠𝗮𝗶𝗻 — Master toggle (All On/All Off/Manual) plus individual visibility for each of the ten analytical systems. Enable what you need, disable what you don't. • ② 𝗖𝗼𝗹𝗼𝗿𝘀 — Grouped by analytical function for intuitive customization: - Trend (📈/📉): SuperTrend, EMA Stack, BMSB, Regime — systems that identify directional bias - Exhaustion (🔄): Exhaustion Counter, Candlestick Patterns, Liquidity Sweeps — systems that detect potential turning points - Structure (🟥/🟩): Supply and Demand zones — key price levels - Squeeze (🔮): Volatility compression detection - Warning (⚠️): Caution/Danger momentum markers - Neutral (⚪): Backgrounds and inactive states • ③ 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗣𝗮𝗻𝗲𝗹 — Choose Badge or Table mode and position. Badge for glanceability, Table for detail. • ④ 𝗠𝘂𝗹𝘁𝗶-𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲 — Set individual timeframes for confluence calculation. Align lower timeframe entries with higher timeframe context. • ⑤ 𝗩𝗶𝘀𝘂𝗮𝗹 𝗦𝗲𝘁𝘁𝗶𝗻𝗴𝘀 — Adjust sizes, transparency, and display styles for your screen setup. • ⑥ 𝗦/𝗗 𝗭𝗼𝗻𝗲𝘀 — Configure zone appearance, maximum zones displayed, and grading thresholds. • ⑦ 𝗖𝗮𝗻𝗱𝗹𝗲𝘀𝘁𝗶𝗰𝗸 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 — Select which of the 16 patterns to display. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗔𝗟𝗘𝗥𝗧𝗦 38 alert conditions available: • Count 8 Buy / Count 9 Buy / Count 8 Sell / Count 9 Sell — Sequential exhaustion counts • Squeeze Active / Squeeze Break UP / Squeeze Break DOWN — Volatility compression events • SuperTrend Bullish Flip / SuperTrend Bearish Flip — Trend direction changes • Golden Cross / Death Cross — EMA 50/200 cross events • BMSB Cross Above / BMSB Cross Below — Price crossing the support band • Supply Broken / Demand Broken — Zone break events • Liquidity Sweep Bullish / Liquidity Sweep Bearish — Wick-based sweep detection • Caution / Danger — Momentum exhaustion warnings • High Confluence — Score reaches 6 or above • 16 individual candlestick pattern alerts plus Any Bullish / Any Bearish aggregates ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗟𝗜𝗠𝗜𝗧𝗔𝗧𝗜𝗢𝗡𝗦 • 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝘀 𝘀𝘂𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗵𝗶𝘀𝘁𝗼𝗿𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮 — EMAs and other calculations need adequate bar history to initialize properly. Allow 200+ bars for full functionality. • 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘁𝗼𝗼𝗹, 𝗻𝗼𝘁 𝗮 𝘀𝗶𝗴𝗻𝗮𝗹 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 — This indicator displays analytical information. It does not tell you when to trade. All trading decisions should incorporate additional analysis and risk management. • 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗶𝘀 𝗻𝗼𝘁 𝗰𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝘆 — Multiple aligned signals may provide more context but do not guarantee outcomes. High confluence setups can and do fail. • 𝗟𝗮𝗴𝗴𝗶𝗻𝗴 𝗶𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿 — Most components are derived from historical price data and inherently lag current price action. Signals confirm rather than predict. • 𝗠𝗮𝗿𝗸𝗲𝘁 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀 𝘃𝗮𝗿𝘆 — Settings and interpretations that work in one market environment may not work in another. What works in trending BTC may not work in ranging forex. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 𝗖𝗢𝗡𝗖𝗟𝗨𝗦𝗜𝗢𝗡 OmniDeck provides a structured framework for analyzing price action through ten integrated analytical systems. The indicator is designed to help traders identify when multiple independent methods align, providing context that may warrant further analysis. By consolidating Exhaustion Counter, SuperTrend consensus, EMA analysis, Bull Market Support Band, volatility squeeze, supply/demand zones, liquidity sweeps, candlestick patterns, regime detection, and confluence scoring into a single overlay, OmniDeck aims to reduce chart clutter while maintaining comprehensive analytical coverage. The confluence panel quantifies what traders usually track mentally — showing at a glance how many systems agree and which direction they point. All signals should be interpreted as informational context, not as trading recommendations. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔶 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.
Indicador Pine Script®
por SignalPilotLabs
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.
Indicador Pine Script®
por SignalPilotLabs
SMC Liquidity Engine Pro SMC Liquidity Engine Pro - Complete Trading Guide & Documentation 📊 Introduction: Understanding Smart Money Concepts The SMC Liquidity Engine Pro is a comprehensive, institutional-grade trading indicator that brings professional Smart Money Concepts (SMC) methodology directly to your TradingView charts. This isn't just another technical indicator—it's a complete framework for understanding how institutional traders, market makers, banks, and hedge funds manipulate and move the markets. What Makes This Different? While most retail traders rely on lagging indicators like moving averages or RSI, this indicator reveals the real-time footprints of institutional activity. It shows you: Where large players are accumulating or distributing positions How they engineer liquidity to trigger retail stop losses When they're shifting from one directional bias to another Where price inefficiencies exist that institutions will likely revisit The markets don't move randomly—they move based on liquidity. Understanding this fundamental truth is what separates consistently profitable traders from those who struggle. This indicator decodes that liquidity-driven behavior and presents it in clear, actionable visual signals. The Philosophy Behind Smart Money Concepts Smart Money Concepts is built on several core principles: 1. Liquidity is King: Price doesn't move because of patterns or indicators—it moves to collect liquidity (stop losses and pending orders). Institutions need massive liquidity to fill their large positions, so they engineer price movements to create that liquidity before making their real directional move. 2. Market Structure Reveals Intent: The way price forms highs and lows tells a story about who's in control. When structure breaks, it signals a shift in institutional positioning. 3. Inefficiencies Get Filled: When price moves too quickly in one direction, it leaves behind "fair value gaps"—areas of imbalance. Institutions frequently return to these areas to fill orders and restore balance. 4. Manipulation Precedes True Moves: The most explosive directional moves are often preceded by liquidity sweeps in the opposite direction—trapping retail traders before the real move begins. This indicator automates the identification of all these concepts, allowing you to trade alongside the smart money rather than being their exit liquidity. 🎯 Core Features - Deep Dive 1. Market Structure Detection & Visualization What It Is: Market structure forms the foundation of all Smart Money analysis. This indicator automatically identifies and tracks swing highs and swing lows using a sophisticated pivot detection algorithm. These aren't just any price points—they represent areas where the market showed a significant shift in supply and demand dynamics. How It Works: The indicator uses a customizable lookback period to identify valid swing points. A swing high must have lower highs on both sides within the lookback period, and a swing low must have higher lows on both sides. This ensures that only significant structural points are marked, filtering out minor noise and consolidation. Visual Presentation: Bullish Structure (Cyan Lines): Horizontal lines extending from each identified swing high, showing resistance levels that price previously respected Bearish Structure (Red Lines): Horizontal lines extending from each identified swing low, showing support levels where buying pressure emerged Trading Application: These structure levels serve multiple purposes: Target Zones: Previous highs become targets in uptrends; previous lows become targets in downtrends Invalidation Levels: If expecting a bullish move, breaking below the last swing low invalidates the setup Context for Other Signals: All BOS, CHOCH, and liquidity sweep signals gain meaning from their relationship to structure Multi-Timeframe Anchors: Higher timeframe structure provides context for lower timeframe entries Advanced Tip: When multiple timeframe structures align (e.g., a daily swing low coincides with a 4-hour swing low), these levels carry significantly more weight and are more likely to be defended or, when broken, lead to explosive moves. 2. Break of Structure (BOS) - Trend Confirmation What It Is: A Break of Structure occurs when price definitively closes beyond a previous swing high (bullish BOS) or swing low (bearish BOS). This signals that the current trend maintains its momentum and is likely to continue in the same direction. The Institutional Perspective: When institutions want to continue pushing price in a direction, they need to break through previous resistance or support. A clean BOS indicates that: There's sufficient institutional buying/selling to overcome the supply/demand at previous structure The trend has enough momentum to attract more participants Stop losses above/below structure have been triggered, providing liquidity for continuation Signal Characteristics: Bullish BOS Label: Appears below the bar that closes above the previous swing high Bearish BOS Label: Appears above the bar that closes below the previous swing low Confirmation: Requires a full candle close, preventing false signals from wicks Trading Strategies: Trend Continuation Entries: After a BOS, wait for a pullback to a Fair Value Gap or minor structure, then enter in the direction of the break Breakout Trading: Enter immediately on BOS confirmation with a stop below the broken structure Momentum Confirmation: Use BOS to confirm that your existing position is aligned with institutional flow Scaling Strategy: Add to positions on each successive BOS in trending markets What to Watch For: Volume: Strong BOS movements should be accompanied by above-average volume Speed: Rapid price movement through structure suggests institutional urgency Follow-Through: The best BOS signals see price continue strongly without immediately reversing Higher Timeframe Alignment: BOS on higher timeframes (4H, Daily) carry more weight than lower timeframe breaks Common Pitfalls: Not all structure breaks are equal—BOS during ranging markets are less reliable A BOS immediately followed by a reversal back into the range may indicate a failed breakout During major news events, structure can be broken temporarily without institutional intent 3. Liquidity Sweep Detection - Spotting Manipulation What It Is: Liquidity sweeps (also called "stop hunts" or "liquidity grabs") occur when price temporarily breaks beyond a key level to trigger stop losses and pending orders, then immediately reverses back. This is one of the most important concepts in SMC trading because it reveals intentional manipulation. Why Institutions Do This: Large institutional orders can't be filled at a single price point—they need massive liquidity. The biggest pools of liquidity sit just beyond obvious highs and lows where retail traders place their stops. By briefly pushing price into these zones, institutions: Trigger retail stop losses (creating market orders) Activate pending buy/sell orders Fill their large positions at favorable prices Trap late breakout traders before reversing Detection Methodology: The indicator identifies sweeps using multiple criteria: Price must penetrate beyond the structural high/low (creating the sweep) The candle must close back on the opposite side of the structure (confirming rejection) The sweep distance is measured against ATR to distinguish manipulation from normal volatility The sweep multiplier setting allows you to adjust sensitivity based on market conditions Visual Indicators: Orange Down Arrows: Mark liquidity sweeps above structural highs Lime Up Arrows: Mark liquidity sweeps below structural lows Liquidity Zone Boxes: Semi-transparent colored boxes highlight the exact range of the swept area Persistent Display: Zones remain visible for several bars to maintain context Trading Applications: Reversal Trading: Liquidity sweeps often mark excellent reversal points. After a sweep: Wait for the sweep to complete (candle closes back inside structure) Look for a Change of Character signal for confirmation Enter in the direction opposite to the sweep Place stops beyond the sweep high/low Target the opposite side of the range or next structural level Continuation Filtering: Not all sweeps lead to reversals. During strong trends: Sweeps of minor structure in a trending market often precede continuation Use higher timeframe structure to determine if a sweep is counter-trend (likely reversal) or with-trend (likely continuation) Entry Refinement: In ranging markets, trade from swept lows to highs and vice versa, as institutions accumulate at the extremes. Advanced Sweep Analysis: Double Sweeps: When both sides of a range are swept, expect a strong breakout Sweep Rejection Quality: Fast, strong rejections of sweeps are more reliable than slow grinding returns Timeframe Consideration: Daily timeframe sweeps are significantly more important than 15-minute sweeps Volume Profile: Sweeps with low volume followed by high volume reversals confirm manipulation What Makes a High-Quality Sweep Signal: ✅ Penetrates structure by at least 0.5-1x ATR ✅ Strong rejection candle (long wick, decisive close) ✅ Occurs at a higher timeframe structural level ✅ Creates a Change of Character on the following move ✅ Sweeps an obvious level where retail stops cluster 4. Change of Character (CHOCH) - Major Reversal Signals What It Is: A Change of Character represents the most significant shift in market dynamics—when the entire structural bias of the market flips from bullish to bearish or bearish to bullish. CHOCH signals are the crown jewel of SMC trading because they identify the exact moment when institutional positioning fundamentally changes. The Anatomy of a CHOCH: A valid CHOCH requires a specific sequence: Established Trend: A clear directional bias with multiple BOS in one direction Liquidity Engineering: A sweep of structure in the current trend direction (the manipulation phase) Structural Break: Price then breaks structure in the OPPOSITE direction (the revelation phase) This combination shows that institutions have: Completed their accumulation/distribution at favorable prices (via the sweep) Shifted their positioning from bullish to bearish (or vice versa) Begun a new directional campaign Visual Presentation: Bullish CHOCH (Cyan Triangle Up): Appears when bearish structure is broken after a low sweep, signaling the shift to bullish control Bearish CHOCH (Red Triangle Down): Appears when bullish structure is broken after a high sweep, signaling the shift to bearish control Prominent Markers: Larger and more visually distinct than BOS signals, reflecting their importance Why CHOCH Signals Are So Powerful: Trend Reversal Identification: They mark the earliest possible confirmation of a trend change High Win Rate: When combined with proper risk management, CHOCH signals have among the highest success rates in SMC trading Risk-Reward Ratio: Entering at CHOCH gives you the best possible risk-reward since you're entering at the beginning of a new trend Institutional Confirmation: The sequence of sweep + structure break proves institutional repositioning, not just retail sentiment Trading CHOCH Signals: The Perfect CHOCH Setup: Identify the Sweep: Watch for a liquidity sweep of structural lows (for bullish) or highs (for bearish) Wait for the Break: Don't enter on the sweep—wait for structure to break in the opposite direction CHOCH Confirmation: The indicator fires the CHOCH signal—this is your entry trigger Entry Execution: Aggressive: Enter immediately on CHOCH confirmation Conservative: Wait for a pullback to the first Fair Value Gap or broken structure (now turned support/resistance) Stop Placement: Beyond the swept liquidity point Target Selection: Previous swing in the opposite direction, or let it run to the next CHOCH Multiple Timeframe CHOCH Strategy: The most powerful setups occur when CHOCHs align across timeframes: Daily CHOCH: Signals major institutional trend change, target 500+ pips (Forex) or significant point moves 4H CHOCH: Confirms daily direction, provides swing trade opportunities 1H CHOCH: Offers precise entry timing within the higher timeframe trend 15M CHOCH: Used for position scaling and intraday management Example Trade Flow: Daily Chart: Bullish CHOCH appears after weeks of downtrend ↓ 4H Chart: Wait for pullback after the daily CHOCH, then catch the 4H bullish CHOCH ↓ 1H Chart: Enter on the 1H bullish CHOCH that aligns with both higher timeframes ↓ Result: You've entered at the beginning of a major trend with multiple confirmations CHOCH Quality Grading: A-Grade CHOCH (Highest Probability): Occurs at major higher timeframe structure Following a clear liquidity sweep Volume spike on the structural break Multiple timeframe alignment Creates a large Fair Value Gap on the break B-Grade CHOCH (Good Probability): Valid sweep and structure break Single timeframe signal Moderate volume Occurs at minor structure C-Grade CHOCH (Lower Probability): Choppy, ranging market context Weak sweep or unclear structure Counter to higher timeframe trend Low volume confirmation Common Mistakes with CHOCH Trading: ❌ Entering on the sweep instead of waiting for the structure break ❌ Ignoring higher timeframe context ❌ Taking every CHOCH regardless of quality ❌ Not waiting for pullbacks on aggressive trends ❌ Placing stops too tight, getting caught in volatility Advanced CHOCH Concepts: Failed CHOCH: Occasionally, what appears to be a CHOCH will fail (price reverses back into the previous trend). This often indicates: Insufficient institutional conviction for the reversal Fake-out to grab liquidity in the opposite direction Need to wait for a higher timeframe CHOCH for confirmation When a CHOCH fails, it often sets up an even stronger continuation of the original trend. CHOCH vs BOS Decision Matrix: If in doubt about trend direction → wait for CHOCH If confident in trend → trade BOS continuations After a CHOCH → next signals in the new direction are BOS 5. Fair Value Gaps (FVG) - Institutional Retracement Zones What It Is: Fair Value Gaps represent price imbalances where the market moved so quickly that it left behind inefficient pricing. These gaps form when there's no overlap between the current candle's wick and the candle from two bars ago—a void in the price action that creates a "gap" in the order flow. The Institutional Logic: When institutions execute large market orders, they can push price rapidly through levels without allowing normal two-way trading. This creates unfilled orders and imbalanced order books. Institutions often return to these gaps to: Fill additional orders at more favorable prices Allow the market to "breathe" before the next push Create support/resistance at the gap for the next move Restore balance to the order book FVG Formation Criteria: This indicator uses enhanced FVG detection logic: Bullish FVG (Upward Gap): Current candle's low is above the high from 2 candles ago Creates a visible gap where no trading occurred Gap size must exceed 30% of ATR (filtering minor gaps) Typically forms on strong bullish momentum candles Market moved up so fast it left unfilled sell orders Bearish FVG (Downward Gap): Current candle's high is below the low from 2 candles ago Creates a visible gap where no trading occurred Gap size must exceed 30% of ATR Typically forms on strong bearish momentum candles Market moved down so fast it left unfilled buy orders Visual Presentation: Bullish FVG Zones: Semi-transparent cyan boxes extending from gap bottom to top Bearish FVG Zones: Semi-transparent red boxes extending from gap top to bottom Dynamic Management: Gaps automatically removed when filled or expired Clean Display: Only active, unfilled gaps shown to prevent chart clutter FVG Trading Strategies: Strategy 1: FVG Retracement Entries After a CHOCH or strong BOS, wait for price to retrace into the FVG for entry: Identify trend direction via CHOCH or BOS Locate the nearest FVG in the direction of the trend Set limit orders within the FVG zone Stop loss beyond the FVG Target the next structural level or previous swing Strategy 2: FVG Breakout Confirmation When price breaks through an FVG without filling it: Signals extreme institutional urgency Indicates the move is likely to continue strongly The unfilled gap becomes a "no-go zone" for counter-trend entries Strategy 3: Multiple FVG Management When multiple FVGs form in sequence: The first FVG is most likely to be filled If price skips the first FVG, it signals exceptional strength Sequential gaps create a "gap ladder" for scaling into positions FVG Quality Assessment: High-Quality FVGs (Best Trading Zones): Large gap size (1.5x+ ATR) Formed on high volume impulse moves Aligned with higher timeframe structure Created during CHOCH or strong BOS Positioned between current price and key structure Low-Quality FVGs (Use Caution): Small gaps (< 0.5 ATR) Formed during choppy, ranging conditions Multiple overlapping gaps in the same area Counter to higher timeframe trend Very old gaps (50+ bars ago) FVG Lifecycle Management: The indicator intelligently manages FVG zones: Gap Filling: Bullish FVG is "filled" when price touches the bottom of the gap Bearish FVG is "filled" when price touches the top of the gap Filled gaps are automatically removed from the chart Partial fills count as complete fills (institutions got their orders) Gap Expiration: Gaps older than the extension period (default 10 bars) are removed This keeps the chart clean and focuses on relevant levels Adjustable from 5-50 bars based on timeframe and trading style Gap Priority: When multiple gaps exist, closest gap to current price is most relevant Advanced FVG Concepts: Nested FVGs: Sometimes FVGs form within larger FVGs. The smaller, more recent gap typically gets filled first, providing a secondary entry within the larger gap. FVG Clusters: When 3+ FVGs stack in the same zone, this area becomes a major institutional reaccumulation zone—excellent for swing entries. Inverted FVGs: Bullish FVGs in downtrends or bearish FVGs in uptrends can act as resistance/support where rallies/dips fail. FVG + Liquidity Sweep Combination: The ultimate entry setup: Liquidity sweep occurs CHOCH confirms reversal Price retraces into FVG created during the CHOCH move Enter with exceptional risk-reward ratio FVG Statistics & Probabilities: Research on FVG behavior shows: Approximately 70% of FVGs get filled within 20 bars FVGs formed during CHOCH have 80%+ fill rate Larger gaps (2x+ ATR) have lower but higher-quality fill rates Higher timeframe FVGs are more magnetic than lower timeframe Timeframe Considerations: Daily FVGs: Can remain unfilled for weeks Major institutional zones Often mark the absolute best entry prices for swing trades When filled, usually result in strong reactions 4H FVGs: Typically fill within 3-7 days Excellent for swing trading Balance between frequency and reliability 1H FVGs: Usually fill within 1-3 days Good for short-term position trading More frequent signals 15M FVGs: Often fill same day Best used for intraday refinement Should align with higher timeframe gaps 🔧 Customization & Settings Guide Structure Detection Settings Swing Lookback Period (3-50 bars): This is arguably the most important setting as it determines what the indicator considers "structure." Low Values (3-7): Identifies minor swings and frequent structure points More BOS and CHOCH signals Better for scalping and day trading Risk: More false signals in choppy markets Best for: 15M-1H charts, active traders Medium Values (8-15): Balanced approach capturing meaningful swings Default setting works well for most traders Good signal-to-noise ratio Best for: 1H-4H charts, swing traders High Values (16-50): Only major structural points identified Fewer but higher-quality signals Cleaner charts with less noise Better for trending markets Best for: 4H-Daily charts, position traders ATR Period (1-50): Controls how volatility is measured for liquidity sweep detection. Shorter Periods (7-14): More responsive to recent volatility changes Better during high volatility events May overreact to short-term spikes Longer Periods (15-30): Smoother, more stable volatility measurement Better for swing trading Reduces sensitivity to short-term noise Liquidity Sweep Multiplier (0.5-3.0): Determines how far beyond structure price must move to qualify as a sweep. Low Multiplier (0.5-0.9): Catches smaller, more frequent sweeps More signals but lower reliability Good for scalping or high-frequency trading Use in ranging markets Medium Multiplier (1.0-1.5): Balanced sensitivity Default 1.2 works for most situations Good signal quality High Multiplier (1.6-3.0): Only major, obvious sweeps detected Fewer but very high-quality signals Best for trending markets Use when you want only the clearest setups Display Options Toggle Controls: Each component can be individually enabled/disabled: Show Market Structure: Turn off when chart becomes too cluttered Essential for understanding context, generally keep ON Disable only when you know structure from higher timeframe Show Liquidity Zones: Highlights swept areas with boxes Can be disabled if you prefer cleaner charts Keep ON when learning to spot manipulation Show Break of Structure: BOS labels can be disabled if trading only reversals Keep ON for trend following strategies Show Change of Character: Core SMC signal, usually keep ON Only disable if focusing purely on continuation trading Show Fair Value Gaps: OFF by default to prevent overwhelming new users Turn ON once comfortable with basic structure Can generate many zones on lower timeframes FVG Extension Period (5-50 bars): Determines how long unfilled gaps remain displayed. Short Extension (5-10): Keeps charts very clean Only shows very recent gaps Good for day trading May remove gaps before they fill Medium Extension (11-25): Balanced approach Captures most gap fills Good for swing trading Long Extension (26-50): Shows historical gap context Better for position trading Higher timeframe analysis Can make charts busy on lower timeframes Color Scheme Customization Why Colors Matter: Visual clarity is crucial for quick decision-making. The color scheme should: Clearly distinguish bullish vs bearish elements Work well with your chart background (dark/light mode) Be visible but not distracting Match your personal preference for aesthetics Default Colors: Bullish: Cyan ( #00ffff) - visibility and association with "cool" buying Bearish: Red ( #ff0051) - visibility and universal danger/selling association FVG Bullish: 85% transparent cyan - visible but not overpowering FVG Bearish: 85% transparent red - visible but not overpowering Customization Tips: Increase transparency if zones overwhelm price action Use higher contrast colors on light backgrounds Keep bullish/bearish colors visually distinct Test colors across different market conditions Optimization by Market Type Forex (24-hour markets): Structure Lookback: 10-15 ATR Period: 14-21 Sweep Multiplier: 1.0-1.5 Best Timeframes: 15M, 1H, 4H Stocks (Session-based): Structure Lookback: 8-12 ATR Period: 14 Sweep Multiplier: 1.2-1.8 Best Timeframes: 5M, 15M, 1H, Daily Note: Gaps at market open/close aren't FVGs Cryptocurrency (High volatility): Structure Lookback: 12-20 (filter noise) ATR Period: 10-14 (responsive to volatility) Sweep Multiplier: 1.5-2.5 (larger sweeps) Best Timeframes: 15M, 1H, 4H Indices (Moderate volatility): Structure Lookback: 10-15 ATR Period: 14-20 Sweep Multiplier: 1.0-1.5 Best Timeframes: 1H, 4H, Daily 📈 Complete Trading System & Strategies The Complete SMC Trading Process Step 1: Higher Timeframe Analysis (Daily/4H) Begin every trading session by analyzing higher timeframes: Identify the prevailing market structure (bullish or bearish) Mark key swing highs and lows Note any recent CHOCHs that signal trend changes Identify major Fair Value Gaps that could act as targets or entry zones Determine areas of liquidity (obvious highs/lows where stops cluster) Step 2: Trading Timeframe Setup (1H/4H) Move to your primary trading timeframe: Wait for alignment with higher timeframe bias Look for CHOCH signals if expecting reversal Look for BOS signals if expecting continuation Identify liquidity sweeps that create trading opportunities Note nearby FVGs for entry refinement Step 3: Entry Timeframe Execution (15M/1H) Use lower timeframe for precise entry: After higher timeframe signal, wait for lower timeframe confirmation Enter on FVG fills, structure breaks, or CHOCH signals Place stop beyond swept liquidity or broken structure Set targets at next structure level or opposite side of range Step 4: Management Active trade management increases profitability: Move stop to breakeven after price moves 1R (risk unit) Take partial profits at first target (structure level) Let remainder run to major targets Trail stop using FVGs or structure breaks in your direction Exit if a counter-trend CHOCH appears High-Probability Trading Setups Setup 1: The Classic CHOCH Reversal Market Context: Extended trend in one direction Price reaching obvious highs/lows where liquidity pools Setup Requirements: Liquidity sweep of the high/low CHOCH signal fires (Optional) Wait for pullback to FVG Entry: On CHOCH confirmation or FVG fill Stop: Beyond swept liquidity Target: Previous swing in opposite direction Example (Bullish): Market in downtrend for 2 weeks Price sweeps below obvious daily low Bullish CHOCH fires (breaks previous lower high) Enter immediately or wait for pullback to bullish FVG Stop below swept low Target: Previous lower high, then previous high Risk-Reward: Typically 1:3 to 1:5+ Setup 2: BOS Continuation with FVG Entry Market Context: Established trend with recent CHOCH Strong momentum in trend direction Setup Requirements: Recent CHOCH established trend direction BOS signal confirms continuation Wait for pullback into FVG created on the BOS move Entry: Limit order within FVG zone Stop: Beyond FVG (invalid if exceeded) Target: Next structural level Example (Bearish): Bearish CHOCH 2 days ago Price makes BOS breaking new low Large bearish FVG created during the break Price retraces into FVG zone Enter short at FVG fill Stop above FVG Target: Next major low or daily FVG below Risk-Reward: 1:2 to 1:4 Setup 3: Liquidity Sweep Fade Market Context: Ranging market between defined highs/lows Obvious liquidity on both sides of range Setup Requirements: Clear range established (minimum 20-30 bars) Price sweeps one side of range (high or low) Strong rejection back into range Entry: After sweep rejection confirmed Stop: Beyond swept level Target: Opposite side of range Example: Range between 1.0850-1.0920 (EUR/USD) Price sweeps above 1.0920 to 1.0935 Strong bearish rejection candle back below 1.0920 Enter short at 1.0915 Stop at 1.0940 (above sweep high) Target: 1.0850 (range low) Risk-Reward: 1:2.6 Setup 4: Multi-Timeframe CHOCH Alignment Market Context: Major trend change occurring Multiple timeframes showing reversal signals Setup Requirements: Daily timeframe shows CHOCH Wait for 4H CHOCH in same direction Enter on 1H CHOCH that aligns Entry: 1H CHOCH confirmation Stop: Below 4H structure Target: Daily structural level Example (Bullish): Daily bearish trend for months Daily bullish CHOCH appears 4H shows bullish CHOCH next day 1H bullish CHOCH provides entry Enter long on 1H signal Stop: Below 4H swing low Target: Daily previous high Risk-Reward: 1:5 to 1:10+ Position: Larger size due to alignment Setup 5: Failed CHOCH Continuation Market Context: Strong trend temporarily looks like reversing "False" CHOCH creates trap for counter-trend traders Setup Requirements: Apparent CHOCH against main trend Price fails to follow through Original trend resumes with strong BOS Entry: On BOS in original trend direction Stop: Recent swing Target: Extension of original trend Example: Strong daily uptrend Bearish CHOCH appears (potential reversal) Price consolidates but doesn't follow through down Bullish BOS breaks above recent consolidation Enter long on BOS Stop: Below failed CHOCH low Target: New high extension Risk-Reward: 1:3 to 1:6 Note: Failed reversals often lead to explosive continuations Risk Management Framework Position Sizing: Never risk more than 1-2% of account per trade, even on A+ setups. Risk Calculation: Position Size = (Account Size × Risk %) / (Entry - Stop Loss in pips/points) Example: Account: $10,000 Risk: 1% = $100 Entry: 1.0900 Stop: 1.0870 (30 pips) Position Size: $100 / 30 pips = $3.33 per pip Lot Size (Forex): 0.33 lots Stop Loss Placement: For CHOCH Reversals: Place stop 5-10 pips beyond swept liquidity Gives room for volatility while protecting capital If swept liquidity is violated, setup is invalidated For BOS Continuations: Place stop beyond the FVG or structure that provided entry Typically tighter stops (closer to entry) Can trail stop to breakeven quickly For Range Trading: Stop beyond the swept level Generally tight stops work well in ranges Exit quickly if range boundaries break Take Profit Strategy: Scaling Out Method (Recommended): First Target (50% of position): First structural level (1:1 to 1:2) Second Target (30% of position): Major structure (1:3 to 1:5) Trail Stop (20% of position): Let run to full extension Full Exit Method: Hold entire position to predetermined target Requires more discipline Higher reward but also higher risk of giveback Trade Management Rules: Breakeven Rule: Move stop to breakeven after 1R profit Partial Profit Rule: Take partials at structure levels Trailing Rule: Trail stop
Indicador Pine Script®
por xqweasdzxcv
2
cephxs / Quarterly Theory [Ultimate +]QUARTERLY THEORY Multi-cycle Sequential SMT divergence analysis with 7-layer time fractal detection, PSP swing points, CISD momentum tracking, Purge visualization, and a comprehensive alert system with preset combinations. This indicator is subject to the terms of the Mozilla Public License 2.0. WHAT IT DOES The Quarterly Theory indicator maps Trader Daye's time-based market cycles—from Monthly down to Nano—and detects SSMT (Sequential SMT) divergences across correlated assets within each cycle. It tracks when your chart asset and its correlated pairs disagree on highs and lows, often preceding significant reversals. This is NOT a signal generator. It is a divergence detection tool designed to show you WHEN correlated markets are disagreeing within the natural rhythm of time cycles—information that helps identify high-probability turning points. -- IMAGE: Main indicator view showing SSMT lines across multiple cycles -- CORE CONCEPTS Quarterly Theory Time Cycles The indicator tracks 7 nested time cycles based on ICT/Daye's Quarterly Theory: Monthly: Week-based quarters within each month (Q1-Q4) Weekly: Daily quarters within each trading week Daily: Session-based quarters (Asia, London, NY AM, NY PM) 90m: 90-minute cycles divided into quarters (~22.5 minutes each) 30m: 30-minute cycles (90m divided by 3) Micro: 64 sessions per day (~22.5 minutes each) Nano: 256 sessions per day (~5-6 minutes each) - optional high-resolution mode (basically each Micro session divided by 4) Each cycle has its own SSMT detection, allowing you to see divergences across multiple time fractals simultaneously. SSMT (Sequential SMT) Divergences SSMT tracks when correlated assets disagree on extremes within a time cycle: Bullish SSMT: Primary asset makes a lower low while correlated asset makes a higher low Bearish SSMT: Primary asset makes a higher high while correlated asset makes a lower high Lines connect the divergent extremes, providing visual confirmation of market disagreement. Normal vs Hidden Divergences Normal: Wick-based extremes—traditional SMT comparing session highs and lows Hidden: Body-based extremes—more selective, comparing close prices for stronger signals according to some. You can display Normal only, Hidden only, or Both for maximum information—flexible. All of these lines have robust labels and dual label handling for when correlations occur with two of the assets in the triad at once to avoid collision. PSP (Precision Swing Points) A PSP is not just a pivot—it is a pivot WITH a divergence on the closure. When one asset makes a new high or low but correlated assets FAIL to confirm, the pivot becomes a Precision Swing Point. These often mark significant turning points. It also highlights PSPs that are not divergences for even more advanced analyses and alerts. Example: ES closes bullish on a candle, but NQ closes bearish. If this occurs at a pivot point, the C2 candle is flagged as a PSP on the chart itself. The indicator also allows one to filter PSPs based on proximity to an existing SMT Divergence. CISD (Change In State of Delivery) CISD identifies momentum shifts after pivot formation by detecting opposing candle stretches and confirming when price closes beyond the stretch level. This helps validate directional commitment. It uses a custom pivot system to track originating trends. Purge Detection Purges occur when price sweeps through a previous pivot level (liquidity grab). The indicator tracks these events with solid/dotted line visualization and optional alerts. KEY FEATURES 7-Layer Cycle Detection: Monthly, Weekly, Daily, 90m, 30m, Micro, and Nano cycles all computed simultaneously Auto Timeframe Gating: Automatically shows relevant cycles based on your chart timeframe. On 15m, you see Daily SSMT. On 1m, you see Micro and 30m SSMT. Dual Detection Modes: Normal (wick) and Hidden (body) divergence detection per cycle Automatic Asset Correlation: Uses the same AssetCorrelationUtils library as our other tools—auto-detects correlated pairs or configure manually Per-Cycle Colors: Customize bull/bear colors for each cycle level Pivot Time Labels: Optional time labels at swing points with key time highlighting Purge Visualization: Solid lines for confirmed purges, dotted extensions while active CISD with Size Filter: ATR-based filtering to ignore insignificant stretches THE ALERT SYSTEM The Quarterly Theory indicator provides a comprehensive alert system with multiple layers: Individual Event Alerts Swing High/Low: Alert when a new pivot forms Purge High/Low: Alert when price sweeps through a pivot level CISD Pending/Confirmed: Alert on momentum shift detection SSMT per Cycle: Individual alerts for Monthly, Weekly, Daily, 90m, 30m, Micro divergences CISD Model Combo Alerts Pre-built alert presets that combine SSMT + CISD confirmation per cycle: Monthly SSMT + CISD Weekly SSMT + CISD Daily SSMT + CISD 90m SSMT + CISD 30m SSMT + CISD Micro SSMT + CISD Stacked (multiple cycles aligning) PSP Model Combo Alerts Alerts when a Precision Swing Point forms with SSMT confirmation: PSP + SSMT per cycle PSP + Stacked SSMT (multiple cycles) Directional filtering (bullish/bearish only) Alert Kitchen - Custom Combos Build your own alert conditions by combining: Any cycle level (or multiple) Direction (bullish/bearish/both) Detection type (Normal/Hidden/Both) Additional filters (CISD, PSP, Purge/Sweep) Session Filter Restrict alerts to specific trading sessions: Asia, London, NY AM, NY PM, London + NY, or define a custom time window. -- IMAGE: Alert settings panel -- Will be streamlining the inputs to allow for an improved UX. HOW TO USE IT Getting Started (2 minutes) Add the indicator to your chart SSMT lines will appear automatically based on your timeframe Each colored line represents a divergence at that cycle level Labels show the cycle name and/or correlated asset Understanding the Display Lines connecting highs = Bearish SSMT (potential reversal down) Lines connecting lows = Bullish SSMT (potential reversal up) Solid lines = Normal divergence (wick-based) Dotted lines = Hidden divergence (body-based) Line color = Cycle level (customizable per cycle) Adjusting Timeframe Visibility Auto: Shows only the most relevant cycle for your chart TF All: Shows all enabled cycles regardless of chart TF Extended: Broader visibility ranges per cycle Custom: Define exact min/max TF ranges per cycle Configuring Asset Correlation Go to Asset Selection settings Set to Auto (detects correlated assets automatically) Or set to Manual and enter custom ticker symbols Use Invert Asset 3 for inverse correlations (e.g., DXY vs EUR/USD) Pro Tips Start with Auto timeframe gating to reduce clutter Focus on one or two cycle levels until you understand the rhythm Enable Hidden divergence for higher-probability signals Use the Directional Bias Filter to focus on one direction only The Status Bar shows current cycle states at a glance -- IMAGE: Status bar showing active cycles vs when it's not active -- INPUT SETTINGS OVERVIEW These inputs may change as updates roll out with improvements. Visual Preset Preset options: SSMT Only, SSMT + CISD, SSMT + Purge, CISD + Purge, All Features Directional Bias Filter: All, Bullish only, Bearish only SSMT Plots (Section 2) Show SSMT master toggle Labels toggle with size and color Label Mode: Cycle + Asset, Cycle only, Asset only Timeframe Gating: Auto, All, Extended, Custom Detection Mode: Normal, Hidden, All Per-cycle toggles and colors (Monthly through Nano) Min/Max TF ranges for Custom mode Pivot & PSP Settings (Section 3) Show swing high/low shapes Shape styles and colors Show pivot lines with crossing style PSP highlighting options Pivot Time Labels (Section 3.5) Show Time Labels toggle Key time highlighting (macros) Label styling options Purge Settings (Section 4) Show purge lines Solid/dotted line styles Line colors for bull/bear CISD Settings (Section 5) Show CISD toggle Maximum CISDs displayed Size filter (ATR-based) Bull/bear colors Alert Sections (6-11) Master switches Session filter Individual event alerts CISD model combos PSP model combos Alert Kitchen custom combos Asset Selection (Section 12) Correlation Preset: Off, Auto, Manual Manual Asset 1/2/3 inputs Invert Asset 3 for inverse correlations Status Bar (Section 13) Position, size, colors Shows active cycle states SUPPORTED MARKETS The built-in correlation library automatically detects pairs for: Index Futures: NQ/ES/YM/RTY and micro variants Forex: EUR/GBP/DXY triad, USD/JPY/CHF triad, CAD pairs Crypto: BTC/ETH/TOTAL3, SOL/XRP pairs, major alts Metals: Gold/Silver/Copper Energy: Crude/Gasoline/Heating Oil Treasuries: ZB/ZF/ZN For assets not covered, use Manual mode to define your own correlation group. AUTOMATICALLY RECOMMENDED TIMEFRAMES 1m: See Micro and 30m cycles 3m-5m: See 90m and 30m cycles 15m: See Daily cycle 1H: See Weekly cycle 4H: See Monthly cycle Use Extended or Custom mode to see multiple cycles simultaneously. TERMINOLOGY QUICK REFERENCE QT: Quarterly Theory (time-based cycle analysis) SSMT: Sequential SMT (divergence within a time cycle) SMT: Smart Money Technique (divergence between correlated assets) PSP: Precision Swing Point (pivot with divergence) CISD: Change In the State of Delivery (confirmed directional shift) Purge: Liquidity sweep through a pivot level Normal: Wick-based divergence detection Hidden: Body-based divergence detection Q1/Q2/Q3/Q4: Quadrants within each cycle PERFORMANCE NOTES Micro cycle (64 sessions) adds significant computation load and makes the tool unbearably slow—disable if not needed 30m cycle (48 sessions) is an alternative to Micro with less load Nano cycle (256 sessions) is optional and only active below 1m timeframes Use Auto timeframe gating to reduce unnecessary computations A bar limiter is implemented at the bottom for performance considerations, prioritizing real-time analysis. DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before making trading decisions. CREDITS Developed by cephxs and fstarcapital Uses AssetCorrelationUtils library by fstarcapital for automatic correlation detection Conceptual Credits This Indicator uses Concepts by the Inner Circle Trader, Michael Huddleston. This Indicator uses concepts from Quarterly Theory as taught by TraderDaye. VERSION PineScript v6 | Ultimate+ Edition
Indicador Pine Script®
por fstarcapital
FVG by AlgoKingsFVG by AlgoKings RISK DISCLAIMER: This indicator is an analytical tool for educational purposes only, not financial advice. Trading carries substantial risk of loss. This tool does not guarantee profitable trades. Always use proper risk management and never risk more than you can afford to lose. WHAT ARE FAIR VALUE GAPS? Fair Value Gaps (FVGs) are price imbalances created when aggressive institutional order flow leaves gaps between consecutive candles. These gaps often act as magnetic zones where price returns to fill the imbalance before continuing in the original direction. Example: Bullish FVG forms when candle 1's low is above candle 3's high, creating a gap that wasn't traded. Price often returns to fill this gap before moving higher. UNDERLYING METHODOLOGY This indicator combines four analytical layers: 1. THREE-CANDLE PATTERN DETECTION Identifies FVGs using precise gap analysis: BULLISH FVG: Candle 1 (current) low > Candle 3 (two bars back) high = Gap between bars that price never traded BEARISH FVG: Candle 3 (two bars back) low > Candle 1 (current) high = Gap between bars that price never traded Technical implementation: - Uses request.security with lookahead_on to compare high , low (candle 1) against high , low (candle 3) - For bullish FVG: Gap top = low , Gap bottom = high - For bearish FVG: Gap top = low , Gap bottom = high - Detects new FVGs when time exceeds lastTime (new bar completed on indicator timeframe) Higher timeframe precision: When indicator timeframe exceeds chart timeframe (e.g., 1H FVG on 5m chart), the algorithm searches backward through chart bars to find the exact bar that created the gap extreme, providing precise entry points rather than using the timeframe's open time. 2. PARTIAL MITIGATION TRACKING Advanced mitigation system tracks progressive gap fills: MITIGATION TYPES: - Wick: Price touches gap boundary (high >= gap for bearish, low <= gap for bullish) - Body: Candle closes inside gap (close >= gap for bearish, close <= gap for bullish) STATE MANAGEMENT: - Unmitigated: Full gap remains (displays in green for bullish, red for bearish) - Partially Mitigated: Price entered gap but not fully filled (split display: mitigated portion in gray, remaining in green/red) - Fully Mitigated: Price completely filled gap (displays in gray) Progressive update algorithm: - priceMt variable tracks current mitigation level - On each bar, compares new close/low (bullish) or close/high (bearish) against priceMt - If deeper mitigation detected, updates priceMt and redraws box boundaries - When priceMt reaches gap bottom (bullish) or gap top (bearish), marks isMt flag true Visual updates: - boxUnMt (unmitigated box) shrinks as priceMt advances - boxMt (mitigated box) expands from opposite side - Both boxes share same start/end times, meet at priceMt level 3. MULTI-TIMEFRAME AGGREGATION Monitors up to 9 timeframes simultaneously: TIMEFRAME ELIGIBILITY: Only processes timeframes >= chart timeframe. If chart is 5m, can show 5m, 15m, 1H, 4H, Daily, etc. Cannot show 1m FVGs on 5m chart. Seconds filter: Excludes seconds-based indicator timeframes when chart is 4H+ (prevents attempting to load 1s/5s data on Daily chart where it doesn't exist) FVG ARRAY MANAGEMENT: Each timeframe maintains independent array of FVG objects, sorted newest first. History parameter controls array size (default: 50). When array exceeds history limit, oldest FVG is removed and deleted. 4. TOUCH DETECTION AND VISUAL MANAGEMENT Tracks when price revisits FVG zones: TOUCH EVENTS: Separate from mitigation, tracks when price enters FVG at all (isOutlineMt flag). Uses same logic as mitigation detection but sets flag on first touch regardless of depth. Visual consequences: - Before touch: Outline border displays in gray (bdUnWkColor) - After touch: Outline border removed, indicates price acknowledged zone - Extension behavior: If "Extend Unmitigated" enabled, only untouched FVGs extend right BIAS FILTERING: Optional filter to show only bullish, only bearish, or both (neutral) FVGs. Applied during FVG creation, prevents drawing filtered direction entirely. WHY CLOSED-SOURCE? This script protects proprietary algorithms: - Three-bar gap detection: Precise timestamp matching using time > lastTime to identify new bar completions across multiple timeframes simultaneously, with lookahead_on to access confirmed previous bar data - Partial mitigation algorithm: Real-time priceMt tracking that compares current bar against existing gap levels, calculates progressive fill depth, updates box boundaries dynamically without redrawing entire object - Higher timeframe precision: getHighestTime and getLowestTime functions that search backward through chart bars (using offset calculations: length * 3 for 3 bars back) to pinpoint exact bar that created gap extreme rather than using timeframe open - Multi-state tracking: Complex state machine with isMt (fully mitigated), isOutlineMt (touched), and priceMt (current mitigation level) flags that determine visual rendering and extension behavior - Dynamic visual updates: Box boundary adjustments (set_top/set_bottom) that maintain object references while changing coordinates, preventing flicker and preserving tooltips Standard FVG indicators simply draw boxes between wicks. This script provides institutional-grade mitigation tracking with progressive fill monitoring and precise timestamp resolution. TECHNICAL COMPONENTS Core structures: - Security Object: Stores timeframe data including high , low , high , low , time , time from request.security calls - Fvg Object: Contains gap coordinates (h, l), mitigation level (priceMt), state flags (isMt, isOutlineMt), timestamps (startTime, endTime), and drawing objects (boxes, lines, labels) - SecurityFvg Object: Manages array of Fvg objects for one timeframe, handles updates, mitigation checks, and history purging Gap detection logic: - Bullish: if (l1 > h3 and isBias(bias, Trend.up)) create FVG with h=l1, l=h3, priceMt=l1 - Bearish: if (l3 > h1 and isBias(bias, Trend.dn)) create FVG with h=l3, l=h1, priceMt=h1 - Timestamp precision: startTime = getHighestTime(h3) for bullish or getLowestTime(l3) for bearish on HTF Mitigation detection: - Bullish: if (close < priceMt or low < priceMt depending on type) update priceMt = min(close/low, priceMt) - Bearish: if (close > priceMt or high > priceMt depending on type) update priceMt = max(close/high, priceMt) - Full mitigation: if (priceMt <= gap.l for bullish or priceMt >= gap.h for bearish) set isMt = true HOW TO USE Setup: 1. Apply to any chart (works on all symbols and timeframes) 2. Enable/disable timeframes in settings (9 configurable slots) 3. Select Bias to filter FVG direction (Neutral, Bullish, Bearish) 4. Choose Mitigation Type (Wick for conservative, Body for confirmation) 5. Configure History to control how many FVGs display per timeframe Chart Timeframe Requirements: Indicator only shows FVGs from timeframes equal to or higher than chart timeframe. For 5m chart: can show 5m, 15m, 1H, 4H, Daily, Weekly, Monthly. Cannot show 1m FVGs. Interpretation: - Green box = Bullish FVG (unmitigated portion) - Red box = Bearish FVG (unmitigated portion) - Gray box = Mitigated portion - Dashed line = 50% equilibrium level (EQ) - Gray outline = Untouched FVG - No outline = Price has touched FVG - Label = Timeframe and direction (e.g., "5m +FVG" or "1H -FVG") SETTINGS EXPLAINED Options: - Bias: Filter FVG direction (Neutral shows both, Bullish shows only green, Bearish shows only red) - History: Number of FVGs to display per timeframe (default: 50) - Mitigation Type: Wick (price touches) or Body (candle closes inside) - EQ: Show/hide 50% equilibrium line - 25/75%: Show/hide quarter lines within gap - Label: Show/hide text labels with size and color options - Unmitigated Border: Color and style for untouched FVG outlines - Bullish/Bearish/Mitigated: Colors for gap fill states - Remove Fully Mitigated: Auto-hide FVGs after complete fill - Extend All: Keep all FVGs extending right (requires Remove Fully Mitigated) - Extend Unmitigated: Only untouched FVGs extend right Timeframes: 9 configurable timeframe rows, each with checkbox to enable/disable. Only timeframes >= chart timeframe will display. Default: Chart TF, 1m, 5m, 15m, 1H, 4H, Daily, Weekly, Monthly. Common Configurations: - Scalping: Enable chart TF, 1m, 5m with Mitigation Type = Wick - Day Trading: Enable 5m, 15m, 1H, 4H with Mitigation Type = Body, History = 20 - Swing Trading: Enable 1H, 4H, Daily with Remove Fully Mitigated = false - Bias Trading: Set Bias = Bullish during uptrends, Bearish during downtrends to reduce noise UPDATES This script is actively maintained. Updates released through TradingView's native update system. For technical questions, use the comment section below.
Indicador Pine Script®
por AlgoKings_Official
BK AK-King Quazi🦁👑 BK AK–KING QUAZI — MEASURED HAND, CLEAN BLADE. 👑🦁 All glory to Gd — the true source of wisdom, restraint, and endurance. AK is honor — my mentor’s standard: clarity, patience, no shortcuts, no gambling. Update / Record: A previous version of this publication was hidden by PineCoders moderation due to insufficient description. This republish includes a fully self-contained explanation of what the script does, how it works, and how to use it. 1) What this script does (outputs) BK AK–King Quazi is a Quasimodo (QM) structure manager that turns the pattern into a permissioned process: PROTO → BOS proof → RETEST → CONFIRM → resolve or invalidate On-chart you get: Stage labels: P↑ / P↓ (PROTO), R↑ / R↓ (RETEST), C↑ / C↓ (CONFIRM), X (INVALIDATED), ✓ (TARGET HIT) Execution map lines: QM, BOS, INV (invalidation) Optional projection extension forward (QM/BOS/INV + optional T1/T2) Optional entry zone around QM (ATR buffer) MTF “War Room” table: 5 timeframes showing STATE and NOW (recent events) This is not a “pattern sticker.” It’s a workflow + object lifecycle so outcomes are visible and charts stay clean. 2) Definitions (what each stage means) PROTO (P): “Sweep + BOS candidate.” Early awareness that a QM setup is forming. BOS (Break of Structure): requires a body displacement vs ATR (proof filter). RETEST (R): price returns to the QM level and holds it (permission test). CONFIRM (C): full QM geometry is complete (structure + proof + timing aligned). INV: invalidation level. If breached, the pattern is failed and marked X. Targets: optional T1/T2 mapped from selected target mode. 3) How it works (actual logic in plain English) A) Swing engine (how structure is built) The script uses a ZigZag-style swing detector based on lookbacks: A “to_up” swing trigger occurs when high reaches the highest high over zz_len A “to_down” swing trigger occurs when low reaches the lowest low over zz_len Trend flips on those triggers and the script stores the last 3 swing points: Highs: h2 → h1 → h0 Lows: l2 → l1 → l0 This creates repeatable swing structure without manual drawing. B) BOS displacement filter (proof of intent) A BOS is only accepted if the candle body displacement is large enough: Displacement condition: abs(close - open) ≥ disp_used * ATR(atr_len) disp_used can be: Manual, or Auto (TF Map), or Auto (ATR%) This is the “no wick theater” filter. C) PROTO detection (sweep + BOS) Bull PROTO fires when: structure suggests a sweep (higher swing high behavior) and price sweeps below a prior swing low, then BOS closes above h1 with displacement Bear PROTO is the mirror: sweep above a prior swing high, then BOS closes below l1 with displacement On PROTO, the script defines the key levels: Bull: QM = l1, BOS = h1, INV = current low Bear: QM = h1, BOS = l1, INV = current high D) RETEST + CONFIRM RETEST checks the return to QM with a hold: Bull retest: low ≤ QM and close ≥ QM Bear retest: high ≥ QM and close ≤ QM CONFIRM triggers only when the full swing sequence meets the “QM complete” rules (the script’s bu_conf / be_conf conditions). E) Targets / projection math (if enabled) Targets are optional: Measured (1.0 / 1.618): uses the distance |BOS − QM| times multipliers BOS + prior swing: uses BOS + prior swing extreme Neck→Head (H&S projection): projects neck/head distance from BOS F) Object lifecycle (keeps chart honest and readable) If opposite PROTO appears, you can: do nothing, or clear projections, or mark X + clear the prior campaign On invalidation, the script replaces the existing P/C label with X (no overlapping junk) On target hit, it can resolve the campaign and optionally remove projections/tags 4) MTF War Room (what the table means) The table shows 5 user-selectable timeframes (TF1–TF5) with: STATE: current posture on that TF (P↑, C↑, P↓, C↓, —) NOW: highlights recent PROTO/CONFIRM events on that TF Implementation note (what’s original here): It computes zigzag + displacement inside each TF context “NOW” flash timing is measured in that TF (not chart TF) It packs NOW + RECENT + STAGE into one request.security() call per TF (performance-aware) 5) How to use it (clean execution workflow) Suggested workflow (AK standard): Use MTF first: don’t fight higher court structure Treat PROTO as awareness, not permission Require BOS displacement (proof) Execute only on RETEST of QM or on your CONFIRM rules Stop is INV (if INV breaks, mark X and stand down) Use mapped T1/T2 for planning + resolution (no improvising mid-trade) Label key: P = Proto (sweep + BOS) R = Retest (QM hold) C = Confirm (full QM) X = Invalidated (broke INV) ✓ = Target hit (T1/T2 resolution) 6) What’s original (why it’s not “another QM clone”) Quasimodo is public. The originality here is the system around it: staged sequencing (PROTO → BOS proof → RETEST → CONFIRM) instead of “shape = signal” ATR displacement proof filter to cut fake BOS standardized level mapping (QM/BOS/INV + targets + entry zone) object lifecycle management (replace labels with X, clear/gray projections, remove on target) MTF packed engine (one call per TF; “NOW” measured on that TF) controlled alert routing by event type (PROTO vs CONFIRM) 7) Limitations (important) This is bar-based structure logic; it can change during an unclosed realtime candle. ZigZag swings are lookback-based, not a broker “official” swing definition. It’s a structure/permission tool, not a guarantee engine. 🧑‍🏫 BK / AK / Faith BK is the mark I’m building. AK is honor — discipline, patience, clean execution. All glory to Gd — the true source of wisdom and endurance. 🗡️ King David Lens (Deep — Discipline Under Fire) David’s power wasn’t impulse. It was governed force — strength that answers to law. He learned early that the most dangerous trap is moving before you’re sent. That’s why his life is full of the same pattern traders ignore: He was anointed long before he was crowned. Meaning: truth can be real before it’s allowed to manifest. He fought Goliath with a weapon people mocked — not because it was flashy, but because it was mastered. Meaning: edge isn’t what looks impressive — it’s what’s trained and repeatable. He had Saul in his hands and still refused the shortcut. Meaning: opportunity is not permission; proximity is not assignment. He waited through wilderness seasons where nothing “looked like progress.” Meaning: silence isn’t rejection — sometimes it’s preparation. That is the trader’s war. Price will always offer motion. But motion without permission is bait. David didn’t survive by chasing what was available. He survived by waiting until the moment was proved, the ground was chosen, and the strike was clean. That’s what King Quazi enforces: PROTO is the rumor. BOS displacement is the proof. Retest is the test of legitimacy. Confirm is permission to strike. Invalidation is humility — stand down immediately. A lion doesn’t chase every shadow. A lion waits until the prey is committed — then ends it. 🦁👑 BK AK–KING QUAZI — execute with proof. 👑🦁 Gd bless. 🙏
Indicador Pine Script®
por Ki11a_B
CRT PRO - Milana TradesCRT PRO is a professional multi-timeframe indicator designed for traders who use CRT , Fractal Model , Quarterly Theory , ICT consept The indicator automatically detects Standard SSMT and Hidden SSMT divergences across correlated instruments, providing high-probability directional bias and continuation signals. Draws CRT MTF , FVG , CISD (confirmation ) , Bias Table and HTF Candles for comfortable and fast multi timeframe analisys This tool is built for scalping, intraday trading, and swing trading, adapting dynamically to the active timeframe and market session. Divergenses SSMT / Hiddden SSMT CRT PRO identifies price inefficiencies between correlated markets, where one asset confirms a move while another fails to do so. These divergences often appear before major reversals or continuations, making them extremely valuable for timing entries. The indicator detects: Standard SSMT – classic divergence between highs or lows of quarterly cycles Hidden SSMT – continuation-based divergence using close prices To save time and eliminate the need for manually selecting correlated instruments, CRT PRO includes an automatic correlation detection system. The indicator intelligently identifies the most relevant correlated asset (or asset group) based on the current market and instrument type. This allows traders to focus entirely on price action and execution, without spending time searching for traditional comparison symbols. The auto-selection engine dynamically adapts to: Indices (American/European ),Forex pairs,Futures, Metals Dyad Mode (2 assets) – automatic pairs: US100 ↔ US500 XAUUSD ↔ XAGUSD EURUSD ↔ GBPUSD BTC ↔ ETH NQ ↔ ES GC ↔ SI GER40 ↔ EU50 6E1! - GB1! Triad Mode (3 assets) – automatic groups: US100 – US500 – US30 XAUUSD – XAGUSD – XPTUSD BTC – ETH – ADA NQ – ES – YM GC – SI – PL GER40 – EU50 – FR40 FDAX – FESX – FCE EURUSD – GBPUSD – AUDUSD Change in State of Delivery (CISD) CISD marks a shift in how the market delivers price. It occurs when price stops extending in the previous direction and begins to show loss of control and momentum. CISD is used as context, not as a standalone signal, and works best in confluence with SSMT, correlation, and session structure. Fair Value Gap (FVG) CRT PRO identifies Fair Value Gaps (FVGs) as areas of price imbalance created by aggressive displacement. The indicator includes an FVG validation option, allowing traders to choose whether gaps are defined using candle bodies only or including wicks , providing more control over how imbalances are filled Multi-Timeframe CRT Detection Supports up to three configurable timeframes (TF1, TF2, TF3) Automatically identifies CRT models in higher timeframes and projects them onto the current chart (LTF) In settings you can change ( color , line width , extend lines (right), label size ,etc) Multi-Timeframe Candle Visualize up to three different timeframes simultaneously Customizable TFs: Fully adjustable timeframe settings (e.g., 1H, 4H, Daily). Aesthetic Control: Independent color settings for Bull/Bear bodies, borders, and wicks. Spatial Tuning: Adjust candle width, inter-candle spacing, and padding from the current price to keep your workspace clean. 2. Advanced Labeling & Time Tracking Stay oriented with dynamic information labels Timeframe Labels: Clear identification of each HTF block (Top, Bottom, or Both). Remaining Time: Integrated countdown timers for HTF candle closes. Global Timezones: Display candle open/close times in your preferred timezone (e.g., New York, London, Tokyo, UTC). Custom Formats: Toggle between 24h (HH:mm) and 12h (hh:mm AM/PM) formats. 3. Smart Imbalance Detection (FVG & VI) Identify institutional footprints automatically within the HTF candles. Fair Value Gaps (FVG): Highlights price inefficiencies where liquidity may be drawn. Volume Imbalances (VI): Detects gaps specifically in volume distribution between candles. 4. Swing & Sweep Analysis Track market structure and liquidity raids with precision Swing Highs/Lows: Automatically plots horizontal lines at key structural points. Sweep Identification: Differentiates between Confirmed Swings (price swept a level and closed with rejection) and Potential Swings (currently forming). Equilibrium Line (0.5): Quickly identify the mid-point (50% retracement) of HTF ranges to distinguish between Premium and Discount zones. BIAS table The table tracks the narrative across standard and custom periods simultaneously: Core TFs: Built-in tracking for Daily (D) and Weekly (W) bias. Additional TFs: Two fully customizable slots for any timeframe (e.g., 4H, 1H, or Monthly) to fit your specific trading style. 2. Logic-Based Sentiment Analysis 🟢 Bullish: Triggered when the previous high is breached or failed to close below PCL 🔴 Bearish: Triggered when failed to close above PCH or closed belowe PCL ⚪ Neutral: Indicates when price did not touch prev candle high or low 3. Fully Customizable Dashboard Designed to be non-intrusive and aesthetically pleasing: Flexible Placement: Position the table in any corner of your chart (Top Right, Bottom Left, etc.). Adaptive Visibility: Toggle the entire table or specific timeframes on/off with a single click. Visual Themes: Match the table to your chart's color palette with full control over background, border, header, and text colors. Additional TFs: Enable/Disable and select your preferred secondary timeframes. Bias Colors: Customize the specific hues for Bullish, Bearish, and Neutral states. Table Styling: Adjust transparency, border widths, and font colors for a professional look.
Indicador Pine Script®
por MilanaArsenovna
9
TQ Gold Trend (Macro Regime)This indicator answers one question only: Is gold in a monetary uptrend right now? It does not: Forecast prices Time entries Use momentum or volatility It simply classifies the macro trend regime of gold. 3️⃣ Logic (Simple, Explicit) Timeframe: Weekly Indicator: 30-week Simple Moving Average Interpretation: Bullish: Price above a rising 30W SMA Bearish: Price below a falling 30W SMA Neutral: Everything else (transition / range) This is classic macro trend / stage analysis, adapted for gold as a monetary asset. 4️⃣ How to Use It (User Instructions) How to read the chart >If Gold is Bull, precious metals matter. >If Gold is Bear, ignore silver and miners. >If Gold is Neutral, wait — no edge. Best use Check once per week Use as the first filter before looking at: Gold/DXY Gold/SPY Silver/Gold Recommended timeframe Weekly only (designed for macro regimes, not trading)
Indicador Pine Script®
por tradingqueen18
TQ Silver / Gold (Weekly Macro)This indicator tracks the Silver / Gold ratio on a weekly basis to determine whether silver is leading gold (risk appetite returning inside metals) or gold is leading silver (a more defensive precious-metals posture). Within the TQ Weekly Macro Framework, this indicator is designed to be used after confirming the broader macro environment using TQ Gold Trend (Weekly Macro), TQ Gold / DXY (Weekly Macro), and TQ Gold / SPY (Weekly Macro). Why Silver / Gold matters >When Silver / Gold rises, silver is outperforming gold — often associated with reflation, growth expectations, or broad risk appetite within precious metals. >When Silver / Gold falls, gold is outperforming silver — often associated with defense, uncertainty, or tighter financial conditions. >This ratio is not a timing tool — it is a regime and leadership indicator within the metals complex. How it works (regime rules) Using weekly data: Compute Silver ÷ Gold Apply a 30-week SMA Regime definitions: Bull: Ratio above a rising 30-week SMA (silver leading) Bear: Ratio below a falling 30-week SMA (gold leading) Neutral: Transition / range A clear label marks the current regime. How to use it in your system Use after confirming: TQ Gold Trend (Weekly Macro) TQ Gold / DXY (Weekly Macro) TQ Gold / SPY (Weekly Macro) > If Silver / Gold is Bull, metals participation is broadening and silver often has more upside torque. > If Silver / Gold is Bear, gold leadership is defensive and silver exposure may underperform. > Neutral often signals rotation or consolidation. Best timeframe Designed for weekly macro regime analysis.
Indicador Pine Script®
por tradingqueen18
TQ Gold / SPY (Weekly Macro)What this indicator does This indicator tracks the Gold/SPY ratio on a weekly basis to show whether gold is outperforming U.S. equities (risk assets). It helps you determine if the market is favoring hard money / defensive leadership vs risk-on equity leadership. Within the TQ Weekly Macro Framework, this indicator is intended to be used after confirming gold’s primary trend using TQ Gold Trend (Weekly Macro) and its monetary backdrop using TQ Gold / DXY (Weekly Macro). Why Gold/SPY matters Gold can rise during equity booms and during equity stress. The Gold/SPY ratio tells you which asset class is winning in relative terms. Rising Gold/SPY often signals defensive leadership, shifting macro preferences, or risk repricing, especially when aligned with TQ Gold Trend (Weekly Macro). How it works (regime rules) Using weekly data: Compute Gold ÷ SPY Apply a 30-week SMA Regime definitions: Bull: Ratio above a rising 30-week SMA (gold leading equities) Bear: Ratio below a falling 30-week SMA (equities leading gold) Neutral: Transition / range A clear label marks the current regime. How to use it in your system Use after TQ Gold Trend (Weekly Macro) and TQ Gold / DXY (Weekly Macro). > If Gold/SPY is Bull, gold is leading risk assets — metals tend to behave stronger and more “macro-relevant.” > If Gold/SPY is Bear, equities are winning — gold moves may be less dominant. > Neutral usually means rotation or consolidation. Best timeframe Designed for weekly macro regime analysis, not short-term trading.
Indicador Pine Script®
por tradingqueen18
TQ Gold / DXY (Weekly Macro)What this indicator does This indicator tracks the relative performance of gold versus the U.S. dollar using the Gold/DXY ratio. It helps determine whether gold’s strength is real (monetary) or merely nominal. Why Gold/DXY matters Gold rising with a rising dollar is not a strong signal. Gold rising against a weakening dollar signals monetary outperformance. This ratio filters out dollar noise and focuses on true purchasing-power strength. How it works The indicator calculates Gold ÷ DXY using weekly data. A 30-week SMA is applied to the ratio. Regimes are defined as: Bull: Ratio above a rising 30-week SMA (gold beating the dollar) Bear: Ratio below a falling 30-week SMA Neutral: Transition or range-bound periods A clear on-chart label shows the current regime. How to use it Use after confirming Gold Trend is Bull. When Gold/DXY is Bull, gold has a true monetary tailwind. When Gold/DXY is Bear, gold rallies are often fragile or dollar-driven. Neutral readings signal consolidation or regime change. Best timeframe Designed for weekly charts and macro analysis. Not intended for short-term trading signals.
Indicador Pine Script®
por tradingqueen18
Weekly macro ratio indicator tracking Silver/Gold with a 30-weekWhat this indicator does This indicator tracks the Silver/Gold ratio on a weekly basis to determine whether silver is leading gold (risk appetite returning inside metals) or gold is leading silver (more defensive precious-metals posture). Why Silver/Gold matters When Silver/Gold rises, silver is outperforming gold — often associated with reflation, growth expectations, or broad risk appetite. When Silver/Gold falls, gold is outperforming silver — often associated with defense, uncertainty, or tighter financial conditions. This ratio is not a timing tool — it’s a regime/leadership indicator. How it works (regime rules) Using weekly data: Compute Silver ÷ Gold Apply a 30-week SMA Regime definitions: Bull: Ratio above a rising 30-week SMA (silver leading) Bear: Ratio below a falling 30-week SMA (gold leading) Neutral: Transition/range A clear label marks the current regime. How to use it in your system - This indicator is designed to be used as part of the broader TQ Weekly Macro Framework, alongside other TQ indicators such as TQ Gold Trend (Weekly Macro), TQ Gold / DXY (Weekly Macro), and TQ Gold / SPY (Weekly Macro). Each indicator can also be used independently. Use after confirming: Pane 1: Gold Trend Pane 2: Gold/DXY Pane 3: Gold/SPY If Silver/Gold is Bull, metals participation is broadening and silver often has more upside torque. If Silver/Gold is Bear, gold leadership is defensive; silver exposure may underperform. Neutral often signals rotation or consolidation. Best timeframe Designed for weekly macro regime analysis.
Indicador Pine Script®
por tradingqueen18
Weekly macro ratio indicator comparing gold vs SPY 30 SMAWhat this indicator does This indicator tracks the Gold/SPY ratio on a weekly basis to show whether gold is outperforming U.S. equities (risk assets). It helps you determine if the market is favoring hard money / defensive leadership vs risk-on equity leadership. Why Gold/SPY matters Gold can rise during equity booms and during equity stress. The Gold/SPY ratio tells you which asset class is winning in relative terms. Rising Gold/SPY often signals defensive leadership, shifting macro preferences, or risk repricing. How it works (regime rules) Using weekly data: Compute Gold ÷ SPY Apply a 30-week SMA Regime definitions: Bull: Ratio above a rising 30-week SMA (gold leading equities) Bear: Ratio below a falling 30-week SMA (equities leading gold) Neutral: Transition/range A clear label marks the current regime. How to use it in your system Use after Pane 1 (Gold Trend) and Pane 2 (Gold/DXY). If Gold/SPY is Bull, gold is leading risk assets — metals tend to behave stronger and more “macro-relevant.” If Gold/SPY is Bear, equities are winning — gold moves may be less dominant. Neutral usually means rotation or consolidation. Best timeframe Designed for weekly macro regime analysis, not short-term trading.
Indicador Pine Script®
por tradingqueen18
Gold And Silver Macro Dashboard A weekly, macro-focused dashboard for precious metals that tracks gold’s trend plus three key relative-strength ratios: Gold/DXY, Gold/SPY, and Silver/Gold. Uses a 30-week SMA regime filter to label each series as Bull / Neutral / Bear and provides a quick “full picture” read. What this indicator does This dashboard helps you read the big picture for precious metals using a simple regime framework (weekly + 30-week SMA). It combines four signals into one view: Gold (XAUUSD) — establishes the core precious-metals trend Gold / DXY — shows whether gold is outperforming the U.S. dollar Gold / SPY — shows whether gold is outperforming U.S. equities (risk assets) Silver / Gold — shows whether risk appetite is returning inside metals (silver leadership) How it works (simple rules) Each item is classified using the same weekly regime logic: Bull: price/ratio is above a rising 30-week SMA Bear: price/ratio is below a falling 30-week SMA Neutral: everything else (transition/range) How to use it (30-second weekly scan) Start with Gold: if Gold is Bull, metals have a tailwind. Confirm with Gold/DXY: Bull means gold is beating fiat. Confirm with Gold/SPY: Bull means gold is beating risk assets. Use Silver/Gold to size aggressiveness: Bull implies reflation/confidence and often stronger silver participation. Best timeframe Designed for Weekly charts. The script can force weekly calculations, so it remains consistent even if you view other timeframes. Customization Change tickers if your preferred feed differs (OANDA spot vs futures vs ETFs). Toggle the plotted lines on/off and keep only the dashboard table if you want a cleaner screen. Important note This is a macro regime tool for orientation and context. It is not meant to time entries/exits on lower timeframes. Default symbols are: Gold: OANDA:XAUUSD Silver: OANDA:XAGUSD Dollar Index: TVC:DXY SPY: AMEX:SPY Core Rule: Gold tells you WHEN metals matter. Ratios tell you WHY and HOW aggressive to be. Bull across all four = strongest PM regime. Mixed readings = transition. Gold Bull + Silver/Gold Bear = defensive gold-led phase.
Indicador Pine Script®
por tradingqueen18
InstitutionalSuite Fusion [JOAT]InstitutionalSuite Fusion Introduction InstitutionalSuite Fusion is a single, overlay-style TradingView indicator that combines multiple market context layers into one coherent workspace: Confluence (Fusion Wave): A bounded, smoothed confluence engine that maps multi-factor momentum/pressure into a clean wave around price. Trend Regime + Matrix: A multi-length trend regime model that summarizes directional bias and coherence (agreement) across a configurable range of lengths. Timeline Levels: Key opens and reference levels (day/week/month/year open, previous session highs/lows) for clean session structure. Liquidity Zones + Ladder: Automatic imbalance-style zones, mitigation tracking, and a right-side “ladder” that lists the nearest active zones. Dashboard + Matrix UI: Lightweight tables to keep state readable without cluttering the chart. The purpose of Fusion is not to “merge indicators for the sake of merging”. It is built so the modules reinforce each other: Confluence shows pressure and inflection. Trend Regime shows whether that pressure aligns with the broader directional backdrop. Timeline levels provide context for where price is trading relative to key opens and prior extremes. Liquidity zones provide likely reaction areas and objective references for risk framing. The ladder/dashboard compress all of the above into a fast decision surface. Important Note This is an analysis indicator . It does not place trades and it does not guarantee results. Use it as a decision-support layer inside a complete trading plan. What You See On The Chart (Visual Guide) 1) Fusion Wave (Confluence Overlay) When Modules -> Confluence is enabled, the indicator draws: Fusion Basis (subtle baseline): an EMA-based anchor around which the wave oscillates. Fusion Wave (colored line): the confluence projection mapped into price space using ATR scaling. Wave Fill : a filled band between the wave and the basis to visualize pressure intensity. Bar Tint (optional): candle colors are tinted to match the confluence gradient. How to read it Positive wave coloration / upward pressure: confluence is net bullish. Negative wave coloration / downward pressure: confluence is net bearish. Transitions around neutral: watch for shifts in pressure, then confirm with the Trend Regime and nearby Liquidity Zones/Timeline levels. Why it stays clean and on-scale Fusion confluence is explicitly bounded and smoothed to avoid runaway values that can distort chart scaling. The wave is derived from the bounded confluence and an ATR-based amplitude. 2) Regime Background (Optional) When Modules -> Regime background is enabled, the chart background is softly tinted: Bull regime: bias exceeds the neutral band. Bear regime: bias falls below the neutral band. Neutral regime: bias remains inside the neutral band. Use it as “macro tint”, not as a signal by itself. 3) Timeline Levels (Session/Period Structure) When Modules -> Timeline levels is enabled, Fusion can plot: Day Open Week Open Month Open Year Open (12M) Previous Day High / Low Previous Week High / Low How to use them Treat opens as “fair value anchors” for that period. Use previous highs/lows as liquidity reference points and reaction zones. Combine them with Liquidity Zones: confluence shifts near a timeline level is higher quality than a shift in empty space. Note: level prices are aligned to the instrument’s tick size to keep plotted lines visually accurate. 4) Liquidity Zones (Imbalance-Style Zones) When Modules -> Liquidity zones is enabled, Fusion detects and draws zones as boxes. Zone types Bull zones (typically below/around current price when created): represent upward displacement leaving an imbalance. Bear zones (typically above/around current price when created): represent downward displacement leaving an imbalance. Zone lifecycle Creation: a zone is created only on confirmed bars and only if its size meets your minimum ATR-based threshold. Aging/Fade: zones progressively fade as they get older (configurable). Mitigation: a zone is marked mitigated when price trades back through its price range. Optional deletion: mitigated zones can be kept (muted) or deleted automatically. How to read zones Active zones are potential reaction areas. Mitigated zones are “used” and generally less relevant. Zones are not a promise of reversal; they are objective references for planning, risk framing, and expectation management. 5) Liquidity Ladder (Nearest Zone Navigator) When Modules -> Liquidity ladder is enabled (and zones are enabled), Fusion builds a right-side ladder on the last bar. Each ladder row corresponds to one of the nearest active zones (by distance from current price). Each row is plotted at the zone’s midpoint . The label includes direction (BULL/BEAR), midpoint price, and zone size expressed in ATR units. Rows are offset to the right by a configurable amount so they do not overlap active candles. How to use the ladder Quickly identify the nearest potential reaction area without scanning every box. Use it to plan “where is the next level of interest above and below me?” Combine with confluence: strong confluence into a nearby opposite-side zone is often where traders become more selective. 6) Dashboard (Compact State Readout) When Modules -> Dashboard is enabled, a compact table is shown (position configurable): State: Bull / Bear / Neutral based on confluence thresholding. Flux: the bounded confluence value. Bias: the aggregate trend regime bias. Coh %: coherence (agreement) across the selected matrix lengths. Zones B / Zones R: count of active bull and bear zones. Nearest: nearest active zone midpoint. The dashboard updates on the last bar to stay responsive and light. 7) Matrix Table (Trend Regime Breakdown) When Modules -> Matrix table is enabled, Fusion prints a multi-column view of trend regime across lengths. Header Regime (Bull/Bear/Neutral) Bias (aggregate) Coherence (agreement) Rows/columns Len: the actual length used for that column. Trend: the trend value for that length. Str: normalized strength (0-100). State: Bull / Bear / Neutral per length. How to interpret coherence High coherence means many lengths agree on direction (cleaner regime). Low coherence means lengths disagree (chop/transition/mean-reversion risk). How The Confluence Engine Works (Conceptual, No Code) Fusion confluence blends multiple normalized components into a single bounded score. Each component is normalized so that no single raw scale dominates. Components ZEMA delta (ATR-normalized): adaptive trend impulse using a zero-lag EMA concept versus a standard EMA. RSI normalization: RSI mapped into a symmetric -1 to +1 space around 50. MACD histogram impulse (ATR-normalized): momentum agreement and acceleration. Channel position (range-normalized): where price sits inside a lookback channel. Volume impulse (standardized): relative volume change signed by price direction. Weights and smoothing Each component has a configurable weight. The blend is smoothed to reduce noise. The final result is bounded to keep visuals stable and readable. HTF Blend (Optional) When enabled, Fusion blends current timeframe confluence with a higher-timeframe confluence sample to reduce low-timeframe noise. The HTF sample is taken from confirmed higher-timeframe data (designed to avoid forward-looking behavior). How To Use InstitutionalSuite Fusion (Practical Workflow) Step 1: Start with a clean chart Fusion is meant to be readable on its own. Use a normal candlestick chart and avoid stacking other indicators on top unless you have a clear reason. Step 2: Identify regime first (Matrix + Coherence) If regime is Bull or Bear and coherence is strong, you are likely in a trending environment. If regime is Neutral or coherence is low, be cautious with trend assumptions and focus more on levels and reactions. Step 3: Use Timeline Levels to frame context Day/Week opens help define where price is “holding value” for the period. Previous highs/lows often act as reaction magnets. Step 4: Use Liquidity Zones as objective areas Zones can act as potential reaction areas and reference points. Prefer zone interactions that also align with timeline levels or strong regime context. Step 5: Use Confluence to time the pressure shift Treat confluence as “pressure”. A confluence shift near a meaningful level/zone is more informative than a shift in open space. Confluence can lead; regime can confirm. Step 6: Use the Ladder to stay oriented The ladder is your “nearest active zones” list. Use it to plan what is closest above and below price at a glance. Inputs Guide (What Each Setting Does) Core Source: price series used across the indicator (default: close). Theme Bear / Mid / Bull colors: define the gradient used across the wave, tints, and UI accents. Bar tint: transparency strength applied to candle tint. Background tint: transparency strength applied to regime background. Modules Confluence: enables Fusion Wave and bar tinting. Regime background: optional background regime tint. Timeline levels: plots period opens and prior highs/lows. Liquidity zones: plots imbalance-style zones and mitigation. Matrix table: multi-length trend regime breakdown (position configurable). Liquidity ladder: nearest-zone navigator (requires zones). Dashboard: compact state readout (position configurable). Dash position / Matrix position: choose where tables appear. Confluence ZEMA length: responsiveness of the adaptive impulse component. RSI length: RSI smoothing window. MACD fast/slow/signal: MACD impulse tuning. Channel length: lookback window for channel position. Smoothing: final smoothing of confluence blend. Wave basis length: smoothing of the wave baseline. Wave amplitude (ATR): how far the wave can swing away from basis. Wave fill transparency: opacity of the filled band. Weights: relative contribution of each component. HTF blend / HTF / HTF weight: blends higher-timeframe confluence into the final score. Trend Regime Base length: starting length for the regime matrix. Matrix columns: how many lengths are evaluated. Length step: distance between lengths (base + step * column). Neutral band: dead-zone around zero for Bull/Bear/Neutral classification. Strong coherence %: threshold used for coloring/interpretation of coherence strength. Std blend: how much the model blends “EMA trend” with a “standardized momentum/range” component. Timeline Levels Day/Week/Month/Year open toggles Prev day H/L, Prev week H/L toggles Extend right: extend levels into the future. Line width: thickness of timeline lines. Liquidity Zones Zones (Bull/Bear/Both): which zone directions to detect. Min zone size (ATR): filters out tiny zones. Use wicks (high/low): if enabled, uses full wicks; otherwise uses candle bodies. Max active boxes: maximum zones kept on chart. Fade after N bars: controls how quickly zones visually fade. Delete when mitigated: deletes mitigated zones instead of keeping them muted. Border / Fill transparency: zone styling. Ladder rows: how many nearest zones to display. Ladder X offset: how far to the right the ladder is plotted. Alerts Fusion includes alert conditions for: Fusion Bull Shift: confluence crosses above 0. Fusion Bear Shift: confluence crosses below 0. Fusion New Bull Zone: a new bullish zone is formed on a confirmed bar. Fusion New Bear Zone: a new bearish zone is formed on a confirmed bar. Fusion Zone Mitigated: at least one zone is mitigated on a confirmed bar. Alert setup guidance For most users, “Once Per Bar Close” is the safest choice. Use alerts as notifications, not as automatic execution logic unless you have built and tested a full execution system. Accuracy, Data Handling, and Repainting Notes HTF blend is designed to reference confirmed higher-timeframe values so it does not rely on future bars. Timeline previous highs/lows are based on completed periods. Zones are created on confirmed bars; mitigation state updates as price trades back into zones. Any indicator will recalculate historically if you change settings; that is expected behavior. Recommended Use Cases Trend continuation: strong regime + strong coherence; use zones/timeline as pullback references. Transition/mean reversion: neutral/low coherence; prioritize levels and reactions over trend assumptions. Level-based planning: timeline opens and prior highs/lows, plus nearest active zones from the ladder. Limitations (Be Realistic) Fusion is a visual decision-support tool, not a complete trading system. Zones represent objective price structures, not guaranteed reversal points. Different symbols and sessions can cause opens and period boundaries to appear differently depending on the exchange/session settings. Very low-liquidity markets can produce noisier zones and confluence readings. Resource limits exist (lines/boxes/labels). The script manages objects, but extremely dense charts may require lowering max boxes or ladder rows. Source Protection and Publication Mode This indicator is published as protected (closed-source) to preserve the integrity of the work, reduce unauthorized redistribution, and allow continued iteration without exposing implementation details. Users can apply the indicator normally on their charts, but the underlying source is not viewable. Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk. You are responsible for your own decisions and risk management. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
MTF 4MA Direction Dashboard and TF AlignmentThe MTF 4MA Direction Dashboard is a multi-timeframe trend-alignment tool designed to answer one core trading question: Are higher and lower timeframes pointing in the same direction — and how strong is that alignment? Instead of relying on a single chart timeframe, this indicator evaluates directional consistency across five timeframes simultaneously using a fast 4-period moving average. The result is a weighted directional score, expressed as Bull/Bear percentages and summarized with a clear letter grade and interpretation. This makes the indicator ideal as a trend filter, bias confirmation tool, or higher-timeframe context engine for discretionary and systematic traders alike. How It Works For each selected timeframe (default: 1H, 4H, 1D, 1W, 1M): A 4-period moving average is calculated (user-selectable MA type). The indicator determines direction by comparing the current MA value to the prior bar: Rising MA → Bullish Falling MA → Bearish Each timeframe contributes to a weighted score, allowing higher timeframes to carry more influence if desired. The combined result is converted into: Bull % Bear % Letter Grade (A–F) Plain-English interpretation All results are displayed in a compact, customizable on-chart dashboard. Dashboard Metrics Explained Aligned TFs Shows how many timeframes are bullish vs bearish. Bull % / Bear % Weighted directional confidence across all timeframes. Grade (A–F) A structured summary of alignment strength: A → Strong bullish alignment B → Constructive bullish bias C → Transitional / mixed conditions D → Weak structure F → Bearish or poorly aligned Grade Condition & Interpretation Explicit thresholds and a clear contextual reading of current market structure. How to Use This Indicator This is not an entry signal by itself. It is best used as a context and confirmation tool. Common use cases include: ✅ Trend Filtering Only take long trades when Bull % is elevated (e.g., Grade A or B). ✅ Multi-Timeframe Confirmation Confirm that lower-timeframe setups agree with higher-timeframe structure. ✅ Bias Control Reduce over-trading during mixed or transitional conditions (Grade C/D). ✅ Risk Management Context Scale position size or aggressiveness based on alignment strength. Ideal Trading Conditions This indicator performs best in: Trending or structurally developing markets Swing trading and position trading Higher-timeframe-aware intraday strategies Markets where directional follow-through matters more than noise During highly choppy or mean-reverting conditions, grades will naturally compress toward the middle — providing a visual cue to reduce directional exposure. Customization & Controls Select MA type (SMA, EMA, RMA, WMA) Adjust timeframe importance via custom weights Fully customizable table colors and position Toggle dashboard visibility on/off This flexibility allows the indicator to be adapted to different assets, trading styles, and risk preferences. Final Notes The MTF 4MA Direction Dashboard is designed to bring clarity to multi-timeframe analysis by transforming raw directional data into a structured, readable decision framework. Use it to align trades with structure, avoid fighting dominant trends, and maintain consistency across timeframes.
Indicador Pine Script®
por Dinjin
Fractal Flow & Volume - Institutional 4H SwingThis is a "smart money" trading system for 4-hour Bitcoin and Ethereum charts. It waits for three things to line up perfectly before trading: Daily Trend - Only buy when the big picture is bullish (price above moving averages) 4H Momentum - Enter when momentum explodes upward after a pullback Volume Confirmation - Smart money must be buying (volume diverges from price) Plus special filters: Bitcoin stays above weekly average price, Ethereum stronger than Bitcoin. No trades in choppy markets. Win condition: All 3 modules + 2 asset filters = high-probability swing trade. Advanced Terms Architecture: Three-Module Confluence Matrix text → → → ASSET FILTER → ENTRY Module A: Macro Context (Non-repainting request.security("1D")) text Long: close > EMA20 > EMA50 > EMA100 within 5-bar lookback Short: close < EMA20 < EMA50 < EMA100 within 5-bar lookback Flat: EMAs intertwined → IDLE Choppiness Index < 60 blocks consolidation trades Module B: Waddah Attar Explosion Trigger text BB(20,2) breaks KC(20,1.5) + MACD hist crossover(0) + hist rising Captures volatility expansion post-pullback exhaustion, filtering fakeouts. Module C: OBV Pivot Divergence (Array-based) text Bullish: Price LL ↔ OBV HL (last 2 pivots, 5L/5R) Bearish: Price HH ↔ OBV LH (last 2 pivots, 5L/5R) Dynamic pivot arrays track 5 most recent highs/lows for real-time divergence. Asset-Specific Institutional Filters BTC: Anchored Weekly VWAP Reclaim text long_condition ∧ close > weekly_vwap(rolling) Eliminates 40% of mean-reversion traps. ETH: Relative Strength Matrix text long_condition ∧ ETHBTC > EMA20(ETHBTC) Filters BTC-driven "fake ETH pumps" that retrace. Risk Architecture text Entry: Market order on signal bar close Stop: 2.5 × ATR(14) Position Size: 10% equity Performance Characteristics Timeframe: 4H (swing horizon 2-10 days) Assets: BTCUSD/ETHUSD (Binance perpetuals) Edge: Multi-timeframe confluence + volume divergence Filters: 6 gates = extreme signal rarity = high accuracy Drawdown Control: Choppiness + trend freshness + VWAP Deployment Copy Pine Script v6 code to TradingView Strategy Tester. Optimized for 2023-2026 crypto bull/bear cycles. Backtest shows reduced drawdowns vs. standalone indicators. "The market pays for confluence, not hope."
Estrategia Pine Script®
por bsheetrit
[CT] D&W PPO + RBF + DivergenceThis indicator combines two separate ideas into one tool so you can read trend context from your price chart while timing momentum shifts from a clean oscillator panel. The first component is the Daily and Weekly Percentage Price Oscillator (D&W PPO), which measures the relationship between two EMA spreads that are intentionally built to reflect two “speeds” of market structure. The “weekly” leg is calculated as the percentage distance between a slower and faster EMA pair (L1 and L2), and the “daily” leg is calculated as the percentage distance between a shorter EMA pair (L3 and L4), but both are normalized by the same long EMA (e2) so the values behave like a percent-based oscillator rather than raw points. The script then combines those two legs by creating R = W + D, and it plots the histogram as R − W, which simplifies to D. That is not a mistake, it is the point of the design. By setting the baseline at “R equals W,” the zero line becomes a very intuitive threshold that tells you whether the shorter-term push is adding to the longer-term bias or subtracting from it. When the histogram is above zero, the daily component is supportive of the larger trend pressure, and when it is below zero, the daily component is opposing it. The histogram color is intentionally binary and stable, green when the histogram is at or above zero and red when it is below, so the panel reads like a momentum confirmation tool rather than a noisy oscillator that constantly shifts shades. The second component is the RBF Price Trail, which is drawn on the upper price chart even though the indicator itself lives in a lower panel. This line is not a moving average in the traditional sense. It is a Radial Basis Function kernel smoother that weights recent prices based on their similarity rather than only their recency. In plain terms, the kernel attempts to build a smoother “baseline” that adapts to the shape of price action, and then the script optionally wraps that baseline inside an ATR band and applies a Supertrend-like trailing clamp. When the ATR band is enabled, the line will not simply track the kernel value, it will trail price and hold its position until price forces it to ratchet. This behavior is what makes it useful as a structure-aligned trend line rather than just another smoothing curve. When the adaptive band boost is enabled, the band width is multiplied by a factor that grows when recent price change is large relative to a lookback normalization window. That means the trailing mechanism can adapt to fast markets by changing the effective band behavior, which helps reduce whipsaws in choppy conditions while still allowing the line to respond when volatility expands. The line color is determined by where price closes relative to the trail, bullish when price is above the trail and bearish when price is below it, and you can optionally color your actual chart candles from either the PPO state or the RBF state depending on what you want your eyes to follow. The settings are organized so you can control each module without changing how the core PPO trend logic behaves. The PPO settings L1, L2, L3, and L4 define the EMA lengths used to compute the weekly leg W and the daily leg D. Increasing these values makes the oscillator slower and smoother, while decreasing them makes it react faster to recent movement. “Show W line” is simply a visual aid, it plots the W line in the oscillator panel so you can see the longer-term component, but it does not change the histogram logic. “Histogram thickness” is purely visual and controls how thick the column bars are. The PPO colors are the two base colors used for the histogram state, green when the daily component is supportive and red when it is opposing. The RBF settings control what you see on the upper chart. “Show RBF on Price Chart” turns the trail line on or off. “Source” chooses which price series feeds the kernel, and close is usually the cleanest choice. “Kernel Length” determines how many bars the kernel uses; a larger value makes the baseline smoother and slower, and a smaller value makes it more reactive. “Gamma Adj” controls how quickly the kernel’s weights decay as price becomes dissimilar, so higher gamma tends to make the kernel react more sharply to changes while lower gamma produces a broader smoothing effect. “Use ATR Trail Band” is the switch that turns the kernel baseline into a trailing band line, and it is the reason the line can “hold” and then ratchet instead of moving continuously like a normal moving average. “ATR Length” and “ATR Factor” control the width of that band, and widening the band will generally reduce flips and noise at the cost of later signals. “Use Adaptive Band Boost” turns on the volatility normalization idea, “Boost Normalization Lookback” defines how far back the script looks to determine what counts as a large price change, and “Boost Multiplier” controls how strongly the band behavior is adjusted during those periods. The line width and bull/bear colors are visual controls only. Price bar coloring is intentionally handled with a single selector so you do not end up with two modules fighting to color candles differently. If you choose “Off,” nothing on the main chart is recolored. If you choose “PPO,” your price candles reflect whether the PPO histogram is above or below zero. If you choose “RBF,” your price candles reflect whether price is above or below the RBF trail. Most traders will pick one and stick with it so the chart communicates a single bias at a glance. The divergence module is optional and is designed to be a confirmation layer rather than a primary trigger. When enabled, it can mark regular divergence and hidden divergence, and it lets you decide what the pivots should be based on. The divergence source can be the PPO histogram or the R line, depending on whether you want divergence measured on the cleaner momentum component or on the combined series. “Key off pivots” determines whether pivot detection is driven by oscillator pivots or by price pivots. If you choose oscillator pivots, divergence anchors are found where the oscillator makes pivot highs or lows and those are compared against price at the same points. If you choose price pivots, the pivots are taken from price first and the oscillator value at those pivot bars is used for the comparison, which can feel more intuitive when you want divergence to respect obvious swing structure on the chart. Pivot Left and Pivot Right control how strict the swing definition is, larger values create fewer but more meaningful pivots and smaller values create more frequent signals. “Mark on Price Chart” adds tiny markers on the candles at the pivot location so you can see where the divergence event was confirmed, while the oscillator panel uses lines and labels to make the divergence relationship obvious. For trading, the cleanest way to use this tool is to separate “bias” from “timing.” The RBF Price Trail is your bias filter because it is structure-like and tends to hold and ratchet rather than constantly drifting. When price is closing above the trail and the trail is colored bullish, you treat the market as long-biased and you focus on long setups, pullbacks, and continuation entries. When price is closing below the trail and the trail is bearish, you treat the market as short-biased and you focus on short setups, rallies, and continuation shorts. The PPO histogram is then your timing and pressure confirmation. In an up-bias, the highest quality continuation conditions are when the histogram is above zero and stays above zero through pullbacks, because that means the shorter-term pressure is still supporting the longer-term drift. When the histogram dips below zero during an up-bias, it is a warning that the daily component is now opposing, which often corresponds to a deeper pullback, a rotation, or a period of consolidation, so you either wait for the histogram to recover above zero or you tighten expectations and manage risk more aggressively. In a down-bias, the mirror logic applies: the best continuation conditions are when the histogram is below zero, and pushes above zero tend to represent countertrend rotations or pauses inside the bearish condition. Divergence is best used as an early warning and a location filter, not as a standalone entry button. Regular bullish divergence, where price makes a lower low but the oscillator makes a higher low, can signal bearish pressure is weakening and is most useful when it appears while price is below the RBF trail but failing to continue downward, because it often precedes a reclaim of the trail or at least a meaningful rotation. Regular bearish divergence, where price makes a higher high but the oscillator makes a lower high, can signal bullish pressure is weakening and is most useful when it appears while price is above the trail but extension is failing, because it often precedes a drop back to the trail or a full flip. Hidden divergence is a continuation concept. Hidden bullish divergence, where price makes a higher low while the oscillator makes a lower low, often shows up during pullbacks in an uptrend and can help you confirm continuation as long as the RBF bias remains bullish. Hidden bearish divergence, where price makes a lower high while the oscillator makes a higher high, often shows up during rallies in a downtrend and can help you confirm continuation as long as the RBF bias remains bearish. In practice, you’ll get the best results when you only act on divergence that aligns with the RBF bias for hidden divergence continuation, and you treat regular divergence as a caution or reversal setup only when it occurs near a meaningful swing and is followed by a bias change or a strong momentum shift on the PPO. The most practical workflow is to keep the RBF trail visible on the price chart as your regime guide, keep the PPO histogram as your momentum confirmation, and decide in advance whether you want candle coloring to represent the PPO state or the RBF state so your eyes are not reading two different meanings at once. if you want the cleanest “trend-following” behavior, color candles by the RBF trail and use the PPO histogram as the timing trigger. If you want the cleanest “momentum-first” behavior, color candles by PPO and treat the RBF trail as the higher-level filter for whether you should press a move or fade it.
Indicador Pine Script®
por ChaosTrader63
7
Uptrick: Price Memory TrendIntroduction Uptrick: Price Memory Trend is a custom indicator designed to detect directional shifts and volatility changes using a non-traditional price memory approach. Unlike moving average systems, it builds a dynamic memory of price that adapts gradually over time, allowing it to detect significant deviations and trend transitions with reduced noise. Overview This script identifies trend changes by comparing the current price to a memory-based baseline. When price deviates significantly from this memory base, it triggers a trend regime shift—either bullish or bearish. Adaptive deviation bands are calculated using absolute deviation from the memory base, not ATR or standard deviation, which allows the indicator to capture volatility uniquely. Visual components include color-coded candles, labeled signals, optional bands, and a live status table summarizing current trend metrics. Originality The indicator’s core innovation lies in its use of a decaying memory function to track trend direction, replacing moving averages with a price memory that responds only to significant deviations. This method avoids lag typically associated with smoothing techniques, enabling timely trend detection. Furthermore, deviation is measured directly in price terms, rather than through volatility surrogates like ATR or Bollinger Bands, resulting in a more raw and responsive depiction of price behavior. Inputs Core Engine Memory Strength: Sets how strongly the memory responds to price changes. Higher values make the memory base more reactive. Memory Decay: Controls how much past memory is retained. Lower values weight new prices more heavily. Deviation Length: Length of the EMA used to smooth absolute price deviation. A longer setting results in smoother bands. Band Multiplier: Expands or contracts the dynamic bands. Higher values widen the bands, reducing sensitivity. Customization Color Palette: Selects one of six predefined color schemes for bull and bear visuals. Show Bands: Enables or disables the display of deviation bands. Look: Chooses between 'Bands', 'Trail', or 'Intense' styles, affecting how bands and fills are drawn. Bands Trail Intense Show Info Table: Toggles display of the real-time trend and volatility status panel. Table Position: Determines which corner of the chart the info panel appears in. Text Size: Adjusts font size used within the info table. Features Trend Detection Bullish Shift: Triggered when price crosses above the upper band, entering a new bullish regime. Bearish Shift: Triggered when price crosses below the lower band, entering a new bearish regime. Trend state is persistent and updated only on confirmed transitions, avoiding repeated entries in the same direction. Candle Coloring Candles are dynamically recolored based on current trend direction: bull, bear, or neutral. Signal Labels Visual labels marked "Up" or "Down" are placed on the chart when a regime shift occurs, helping to mark turning points. Deviation Bands Dynamic upper and lower bands are drawn based on smoothed absolute deviation from the memory base. Additional outer bands based on ATR may be drawn to highlight zone intensity when the 'Intense' or 'Trail' styles are selected. Bands visually indicate overextension and help frame price context relative to memory. Alerts Built-in alert conditions trigger on bullish or bearish trend shifts, useful for automation or notifications. Info Table The optional info table displays: Current trend direction Band state (calm, hot, or cool) Price stretch from base Trend age in bars Confidence level based on deviation Memory slope and acceleration Band width and compression state Reversion risk based on stretch level Info Table: Trade Example: Logic Price Memory A recursive formula updates a memory variable based on the current price. The memory adjusts only when the price deviates meaningfully from its previous value. The formula uses a combination of delta-weighting and exponential decay: > memory := previous_memory + delta × memory_strength > memory := memory × memory_decay + price × (1 - memory_decay) This produces a smooth, adaptive base that responds gradually to directional price moves. Deviation and Bands Absolute deviation between price and the memory base is calculated and smoothed using an EMA. The upper and lower bands are then calculated as: > Upper Band = memory base + (smoothed deviation × band multiplier) > Lower Band = memory base - (smoothed deviation × band multiplier) ATR-based extensions can optionally be drawn around these bands for added visual structure. Trend Logic Bullish and bearish states are tracked using crossovers and crossunders of price against the upper and lower bands. The indicator maintains a persistent trend state variable that updates only when a confirmed regime change occurs. This prevents multiple signals within the same trend direction (non-pyramiding behavior). Stretch and Band Analysis Stretch is measured as the deviation of price from memory, normalized by smoothed deviation. Band width is tracked over time and used to detect compression or expansion. Band position is calculated to identify where price sits between the upper and lower bands. Info Table Metrics Memory Slope and Acceleration: Show first and second derivative of the memory base to capture trend speed and change. Confidence Level: Based on stretch intensity, indicating trend strength. Reversion Risk: Inferred from how extended price is beyond the band. Compression: Evaluated by comparing current band width to its recent average. Summary Uptrick: Price Memory Trend provides an alternative framework for trend identification by replacing traditional smoothing with adaptive memory logic. It measures price deviation without reliance on ATR or standard deviation, instead focusing on distance from a reactive baseline. With regime-based trend tracking, customizable visuals, and a detailed status table, it supports both discretionary and system-driven trading styles. Disclaimer This script is for informational and educational purposes only. It does not provide financial advice or guarantees. Trading involves risk, and past performance is not indicative of future results. Always perform your own research before making trading decisions.
Indicador Pine Script®
por Uptrick
17
SMI Trigger SystemSMI TRIGGER SYSTEM - DESCRIPTION Overview SMI Trigger System is a momentum oscillator that identifies trend changes and reversals using the Smoothed Stochastic Momentum Index (SMI). Features a color-changing line (green = bullish, red = bearish), cloud shading for momentum zones, and triangle markers that appear exactly when momentum flips. What Makes It Unique: Real-time color-changing momentum line Cloud shading split at zero line Triangle triggers at exact momentum flip points Overbought/oversold limit lines Built-in alerts for all key signals Fully customizable appearance Works on all timeframes How to Use THE DISPLAY Green line/cloud: Bullish momentum Red line/cloud: Bearish momentum Above zero: Bulls in control Below zero: Bears in control Upper limit (+40): Overbought Lower limit (-40): Oversold SIGNALS 🟢 Green Triangle (▲) - Momentum flipping bullish. Buy signal, most powerful below zero. 🔴 Red Triangle (▼) - Momentum flipping bearish. Sell signal, most powerful above zero. TRADING STRATEGIES 1. Trend Following In uptrends: Only take green triangles, ignore red In downtrends: Only take red triangles, ignore green Use higher timeframe for trend, lower for entries Example: Daily uptrend → trade green triangles on 1H chart 2. Limit Reversals Red triangle at upper limit (+40) = strong reversal signal, go short Green triangle at lower limit (-40) = strong reversal signal, go long Wait for triangle AND price confirmation Most reliable on 4H/Daily timeframes 3. Zero Line Trading SMI crosses above zero → bullish bias, take green triangles SMI crosses below zero → bearish bias, take red triangles Zero acts as momentum baseline 4. Divergence Setups Price higher high + SMI lower high = bearish divergence → take next red triangle Price lower low + SMI higher low = bullish divergence → take next green triangle Most powerful at overbought/oversold limits ENTRIES & EXITS Enter: On triangle appearance Stop: Beyond recent opposite-color triangle Target: Limit levels or opposite triangle Add: Additional same-color triangles in strong trends TIMEFRAME GUIDE Scalping (1-5m): Lower %K to 3-4, take all trend-aligned triangles Day trading (15-60m): Default settings (5/3), focus on limit reversals Swing trading (4H-Daily): Higher %K to 7-10, trade only extreme readings ADJUSTING SENSITIVITY SMI %K Length (default: 5): Lower (3-4) = More signals, faster - good for scalping Higher (7-10) = Fewer signals, stronger - good for swing trading SMI %D Length (default: 3): Lower (1-2) = More responsive Higher (5-7) = Smoother ALERTS Built-in alerts for: Triangle appears (momentum flips) SMI crosses zero (trend change) SMI crosses limits (overbought/oversold) Enable in settings, configure in TradingView alert dialog. CUSTOMIZATION Toggle cloud/triangles on/off Adjust triangle size and positioning Customize all colors Triangle label cap prevents clutter Key Settings SMI %K Length (default: 5): Controls sensitivity and signal frequency SMI %D Length (default: 3): Controls smoothing SMI Limit (default: 40): Overbought/oversold threshold Show SMI Cloud (default: ON): Cloud shading Show SMI Flip Triangles (default: ON): Trigger markers Triangle Size/Offset: Appearance customization Enable Alerts (default: ON): Alert notifications Key Features ✅ Color-changing momentum line ✅ Cloud shading for momentum zones ✅ Triangle triggers at exact flips ✅ Overbought/oversold limits ✅ Built-in alert system ✅ Fully customizable ✅ All timeframes ✅ Adjustable sensitivity NPR21 Disclaimer The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
Indicador Pine Script®
por NPR21
3
Master Analytics Dashboard Pro V6Works in any market including Crypto and Stocks 1. Navigating the Settings (Inputs) Click the "Gear" icon next to the indicator name on your chart to open the settings. You will see several sections with (i) icons—hover over these for helpful tips. Dashboard Aesthetics: Use this to move the dashboard (e.g., to "Bottom Left") or change the background transparency. Dashboard Data Toggles: What to display on dashboard. Technical Settings: This is where you adjust the UT Bot Key and RSI lengths/MACD. For beginners, the default settings are usually best. SMA/EMA and VWAP Lines: Can add up to 5 SMA and 3 EMA lines and fully customizable. By default SMA 610 ( for lowest bottom) and classical EMA 9, 20, 200 and VWAP will display. MTF Timeframes: You can choose which timeframes the dashboard monitors. By default, it tracks from 5m up to 1D to show you the "Big Picture" trend. 2. Understanding the Dashboard & Ribbon The dashboard acts as your "Control Center," aggregating data so you don't have to switch charts. Trend Ribbon (Cloud): When the cloud is Green, the immediate trend is bullish. When it is Red, the trend is bearish. Ribbon Trend (MTF): This row shows if the ribbon is bullish or bearish across other timeframes. Confluence %: This is your most important number. A score of 80% or higher means almost all indicators (MACD, RSI, Trends) are aligned in one direction. 3. Setting Up Individual Alerts One of the most powerful features of this script is the ability to trigger alerts individually. Select Your Triggers: In the indicator settings under "7. Alert Thresholds," check only the boxes you want (e.g., Bullish Ribbon Flip). By default, all other alerts are unchecked to prevent spam. Create the Alert: Click the "Alert" icon (Alarm Clock) on the TradingView sidebar. Condition: Select "Analytics" and then select "Any alert() function call". Frequency: Choose "Once Per Bar Close" to ensure the signal is confirmed before you get a notification. How to Trade: 🟢 The Bullish "Perfect Trade" Checklist To confirm a high-probability Long entry, aim for as many of these "Green" signals as possible: Trend Ribbon Flip: The primary ribbon cloud on your chart has turned Green, and price is trading above it. Confluence Score ≥ 80%: The dashboard shows a bullish confluence of 80% or higher, indicating that RSI, MACD, and Trends are aligned. MTF Alignment: At least 4 out of the 5 timeframes (e.g., 15m, 1h, 4h, 1D) show a BULL status. Trend Status: The "Trend Source" row (EMA 200 or SMA 200) reads BULLISH, confirming the long-term trend is in your favor. UT Bot Confirmation: A tiny BUY label has appeared on the chart (confirmed on bar close). RSI Momentum: The RSI is above its Moving Average (TRUE) but has not yet crossed the Overbought (80) threshold. Look out for Yellow caution to indicate RSI is OB/OS (Above the candle is OB, below the candle is OS. 🔴 The Bearish "Perfect Trade" Checklist To confirm a high-probability Short entry, look for these "Red" signals: Trend Ribbon Flip: The ribbon cloud has turned Red, and price is trading below the basis line. Confluence Score ≤ 20% (80% Bearish): The aggregate signal shows strong bearish pressure. MTF Alignment: The higher timeframes (TF 4 and TF 5) specifically show a BEAR status, ensuring you aren't "fighting the trend". Trend Status: Price is trading below the 200 EMA/SMA, showing the dashboard Trend Status as BEARISH. UT Bot Confirmation: A tiny SELL label has appeared on the chart. MACD State: The MACD Fast line is below the Signal line (FALSE on the "MACD > Sig" row).
Indicador Pine Script®
por aarrsm
Ocean Master [JOAT]Ocean Master QE - Advanced Oceanic Market Analysis with Quantum Flow Dynamics Overview Ocean Master QE is an open-source overlay indicator that combines multiple analytical techniques into a unified market analysis framework. It uses ATR-based dynamic channels, volume-weighted order flow analysis, multi-timeframe correlation (quantum entanglement concept), and harmonic oscillator calculations to provide traders with a comprehensive view of market conditions. What This Indicator Does The indicator calculates and displays several key components: Dynamic Price Channels - ATR-adjusted upper, middle, and lower channels that adapt to current volatility conditions Order Flow Analysis - Separates buying and selling volume pressure to calculate a directional delta Smart Money Index - Volume-weighted order flow metric that highlights potential institutional activity Harmonic Oscillator - Weighted combination of 10 Fibonacci-period EMAs (5, 8, 13, 21, 34, 55, 89, 144, 233, 377) to identify trend direction Multi-Timeframe Correlation - Measures price correlation across 1H, 4H, and Daily timeframes Wave Function Analysis - Momentum-based state detection that identifies when price action becomes decisive How It Works The core channel calculation uses ATR with a configurable quantum sensitivity factor: float atr = ta.atr(i_atrLength) float quantumFactor = 1.0 + (i_quantumSensitivity * 0.1) float quantumATR = atr * quantumFactor upperChannel := ta.highest(high, i_length) - (quantumATR * 0.5) lowerChannel := ta.lowest(low, i_length) + (quantumATR * 0.5) midChannel := (upperChannel + lowerChannel) * 0.5 Order flow is calculated by separating volume into buy and sell components based on candle direction: The harmonic oscillator weights shorter EMAs more heavily using inverse weighting (1/1, 1/2, 1/3... 1/10), creating a responsive yet smooth trend indicator. Signal Generation Confluence signals require multiple conditions to align: Bullish: Harmonic oscillator crosses above zero + positive Smart Money Index + positive Order Flow Delta Bearish: Harmonic oscillator crosses below zero + negative Smart Money Index + negative Order Flow Delta Dashboard Panel (Top-Right) Bias - Current market direction based on price vs mid-channel Entanglement - Multi-timeframe correlation score (0-100%) Wave State - COLLAPSED (decisive) or SUPERPOSITION (uncertain) Volume - Current volume relative to 20-period average Volatility - ATR as percentage of price Smart Money - Volume-weighted order flow reading Visual Elements Ocean Depth Layers - Gradient fills between channel levels representing different price zones Channel Lines - Upper (surface), middle, and lower (seabed) dynamic levels Divergence Markers - Triangle shapes when harmonic oscillator crosses zero Confluence Labels - BULL/BEAR labels when multiple factors align Suggested Use Cases Identify trend direction using the harmonic oscillator and channel position Monitor order flow for potential institutional activity Use multi-timeframe correlation to confirm trade direction across timeframes Watch for confluence signals where multiple factors align Input Parameters Length (default: 14) - Base period for channel and indicator calculations ATR Length (default: 14) - Period for ATR calculation Quantum Depth (default: 3) - Complexity factor for calculations Quantum Sensitivity (default: 1.5) - Channel width multiplier Timeframe Recommendations Works on all timeframes. Higher timeframes (4H, Daily) provide smoother signals; lower timeframes require faster reaction times and may produce more noise. Limitations Multi-timeframe requests add processing overhead Order flow estimation is based on candle direction, not actual order book data Correlation calculations require sufficient historical data Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before trading. - Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Rachev Regime AnalyzerRachev Regime Analyzer ~ GForge What It Does Measures the ratio of extreme gains to extreme losses to identify whether markets favor bulls or bears. When your best moves are bigger than your worst moves, conditions are bullish. When the opposite is true, conditions are bearish. Simple Interpretation: Ratio > 1.2 → Bullish regime (tail gains exceed tail losses) Ratio < 0.8 → Bearish regime (tail losses exceed tail gains) Between → Neutral/transitional Key Features Two Modes: Single Asset: Analyze current chart Multi-Asset: Aggregate regime across 5 assets with custom weights (great for gauging overall crypto/market conditions) Customizable: Lookback period (20-200 bars) Tail percentile (what counts as "extreme") Bullish/bearish thresholds 6 color schemes Optional MA smoothing Visual Signals: Buy/sell markers at threshold crosses Background regime coloring Info table with current values and confidence score Configurable alerts How to Use Choose lookback period based on your timeframe (40-60 bars is a good start) Watch for threshold crosses - these mark regime changes Check confidence score - higher = more reliable Use multi-asset mode to see if entire market is shifting (not just one coin) Best combined with: Trend indicators, support/resistance, volume analysis Parameters Lookback: More bars = smoother, less responsive Alpha (0.10): Defines extreme events - lower = more extreme Thresholds: Adjust based on asset volatility Return Type: Log returns recommended for most assets What Makes It Useful Unlike simple volatility measures, this shows asymmetry - whether extreme moves favor upside or downside. A ratio of 1.5 means your extreme gains are 50% larger than extreme losses - that's actionable information about risk-reward dynamics. Multi-asset aggregation is particularly powerful for crypto traders wanting to gauge if BTC, ETH, SOL, etc. are all showing similar regime characteristics. Disclaimer Educational tool only. Not financial advice. Use proper risk management. No indicator works in isolation - always consider broader market context. Developed by GForge Comments and feedback welcome! 👍
Indicador Pine Script®
por GForge