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Forecasting

CTZ Liquidity + Footprint [Pro]**Liquidity + Footprint ** A professional order flow and liquidity analysis tool that combines institutional concepts with real-time volume delta to give you a directional bias on any timeframe — not just levels, but a read on where price is likely to go next. --- **What it does** Most indicators tell you where price has been. This one synthesises eight independent market conditions into a single Confluence Bias Engine that scores the current bar and outputs a directional label — BULL BIAS, BEAR BIAS, STRONG BULL, STRONG SHORT, or EQUAL — directly on your chart. The bias only confirms after holding for a user-defined number of consecutive bars, filtering out single-candle noise. --- **Features** **Liquidity Pools** — Auto-detects buy-side (BSL) and sell-side (SSL) liquidity using confirmed swing pivots. Levels are marked as intact or swept, capped at your chosen maximum so the chart stays clean. **Order Flow Delta** — Estimates buy and sell volume on every candle using the wick-body split method. Labels only appear on genuinely imbalanced candles above your threshold, suppressing the noise on low-volume bars. **CVD Divergence** — Cumulative Volume Delta divergence fires only at confirmed pivot-to-pivot comparisons, not on every bar. A rising CVD against falling price is the early warning of seller exhaustion. **Equal Highs / Equal Lows (EQH/EQL)** — Marks double tops and double bottoms where stop-loss clusters accumulate. Uses pivot matching rather than rolling bar comparison so signals are meaningful, not constant. **Fair Value Gaps** — Highlights bullish and bearish imbalance zones (gaps between candle bodies) that price tends to return to fill. **VWAP + Standard Deviation Bands** — Rolling VWAP with 1σ and 2σ bands as a volume profile proxy. Price position relative to VWAP feeds directly into the bias score. **Confluence Bias Engine** — Scores seven conditions every bar: delta direction, CVD slope, price vs VWAP, nearest liquidity magnet, EMA trend alignment, CVD divergence, and high-volume node confirmation. The smoothed score must hold for N bars before the bias label flips, preventing false signals on choppy price action. **Live Target** — The nearest unswept liquidity level in the bias direction is displayed on the chart with distance as a percentage from current price. --- **The HUD** The information panel in the top-right shows: current bias label and score, all seven condition readings, nearest target level, distance to target, and sell/buy ratio. Everything updates in real time on the last bar. --- **How to use it** Use the 24H or 4H to establish the macro bias — this is your direction filter. Drop to the 1H or 15m to time entries in that direction. When the bias engine on the higher timeframe reads STRONG BEAR and the target label is pointing at an unswept SSL, that level becomes your price objective. Wait for CVD divergence near that level as confirmation the sweep is exhausting before looking for a reversal. The indicator does not repaint. All signals are based on confirmed bars except the real-time delta background which updates on the current candle. --- **Settings** All features can be toggled independently. Key settings to tune per timeframe: Swing Lookback (higher on daily, lower on intraday), EQH/EQL Tolerance (0.2–0.5% works well on most pairs), Delta Label Threshold (raise to 0.7+ on low-volume timeframes), and Bars to Confirm Bias Flip (3 is default, raise to 5 on noisy pairs).
อินดิเคเตอร์ Pine Script®
โดย CryptoTradingZone
AetherEdge Regime-Aware Trend Channel🖊️ Overview AetherEdge Regime-Aware Trend Channel is a next-generation dynamic channel system in which K-means clustering automatically classifies the market into three regimes — Range, Trend, and Volatile — and generates regime-specific channels in real time. Unlike conventional one-size-fits-all channels, it identifies the market's underlying character through unsupervised machine learning and reshapes itself accordingly. Upon breakout, it projects a confidence-decaying forward cone, visualizing "where price is likely heading next." 🔶 Key Features Automatic K-means Regime Classification: 4 features × 3 clusters Regime-Specific Channels: Optimal length & width per Range/Trend/Volatile Dynamic Retraining: Centroids recompute every recalcBars to track shifts Breakout Detection: ATR threshold + confirmation bars filter false breaks Forward Projection: Confidence-decaying cone for projBars after breakout Regime Color Visualization: Blue=Range / Green=Trend / Orange=Volatile Stats Panel: Real-time regime, centroid, and feature display Multi-Timeframe Friendly: Self-adapting design across all timeframes 🧠 Technical Architecture This indicator is an adaptive channel AI built around unsupervised K-means learning. 4-Dimensional Feature Vector: ①EMA21–50 divergence (f1: trend strength) ②Normalized stdev (f2: volatility) ③High–low range / ATR (f3: range-ness) ④EMA21 slope (f4: directionality) — multidimensional market character. Min-Max Normalization: All features scaled to 0–1 over trainBars window for fair distance computation. K-means Clustering: regimeK centroids initialized evenly across trainBars → maxIter iterations of nearest-centroid assignment → centroid update until convergence. Centroid Classification: trendScore = c1 + c4, volaScore = c2, rangeScore = 1 − c3 − c1; the maximum determines regime type per centroid. Real-time Prediction: Computes Euclidean distance from current vector to all centroids; nearest centroid's regimeType is adopted. Adaptive Channel Engine: Different lengths (chRangeLen / chTrendLen / chVolaLen) per regime extract highs/lows, scaled by WidthMul × ATR. Breakout Detection: Triggered when deviation exceeds breakATRMul × ATR for breakConfirmBars consecutive bars. Forward Projection: Cone-shaped confidence band drawn projBars ahead with projDecay exponential decay. ⚙️ Recommended Settings & Tuning Guide Crypto Defaults: BTC (4H): trainBars=500, regimeK=3, recalcBars=50, featureWin=20 ETH (1H): trainBars=400, regimeK=3, recalcBars=40, chTrendLen=50 SOL/XRP (15M): trainBars=300, regimeK=3, recalcBars=30, featureWin=15 Long-Term (1D): trainBars=800, regimeK=4, recalcBars=80, chTrendLen=100 Tuning Guide: Granular classification: regimeK=4–5 (requires more data) Fast response: recalcBars=20 for frequent retraining (heavier load) Stability priority: recalcBars=100, maxIter=20 for robust centroids Trend-following: trendWidthMul=2.5 for wider breakout tolerance Mean-reversion: rangeWidthMul=0.8 for tight Range channels Volatile markets: volaWidthMul=3.0 to suppress false signals Conservative breakouts: breakConfirmBars=3, breakATRMul=0.7 💡 How to Use in Practice Range Strategy: In blue regimes, fade extremes — mean-reversion plays Trend Strategy: In green regimes, buy dips / sell rallies — trend-following Volatile Strategy: In orange regimes, reduce size and await clean breaks Breakout Follow-through: Enter in cone direction; consider TP at cone tail Regime Shift Signal: Color changes mark regime transitions = strategy switch points Multi-Timeframe: Higher-TF regime + lower-TF channel edges for entry precision AetherEdge Synergy: When Adaptive Fibonacci AI ratios align with channel edges → ultra-high-confidence zones ⚠️ Important Notes Regime classification is inactive until trainBars of data accumulates K-means is initialization-sensitive; classification may fluctuate at retraining moments Too-short recalcBars destabilizes centroids and adds noise Sudden regime shifts may incur a few bars of lag Excessive regimeK fragments data per cluster, reducing classification accuracy The projection cone is a probabilistic forecast, not a price guarantee 🚨 Disclaimer This indicator is provided for educational and research purposes only and does not constitute financial advice. K-means classification and projection forecasts are based on historical data and do not guarantee future performance. All trading decisions are made at your own risk and should be accompanied by proper risk management.
อินดิเคเตอร์ Pine Script®
โดย AetherEdge
Order Block Detector PRO [V3.1]═══════════════════════════════════════════════ APEX OB — Multi-Swing OTE + Structure Pro ═══════════════════════════════════════════════ The first Order Block detector with Multi-Swing OTE confluence. Forked from LuxAlgo's OB Detector, rebuilt from the ground up for serious ICT/SMC traders. ◆ WHY THIS INDICATOR ◆ Most OB indicators treat every Order Block the same. Apex OB scores each one from 0 to 100 based on six adaptive components, then ranks it as MONSTER / STRONG / NORMAL / WEAK so you instantly know which OBs deserve your attention. Combined with Multi-Swing OTE detection and clean BOS/CHoCH validation by close, you get an institutional-grade tool that filters out 80% of low-quality setups. ◆ KEY FEATURES ◆ ▸ Scoring System 0-100 (asset-adaptive) • Forex/Metals : Volume 30 + Session 20 + Displacement 25 + Freshness 15 + Purity 10 • Crypto : Volume 40 + Displacement 35 + Freshness 15 + Purity 10 (no session) • Bonus FVG +5, Bonus OTE +5 to +10 ▸ Visual Tier Hierarchy • ★ MONSTER (≥85) — Gold border, premium setup • ◆ STRONG (70-84) — High confidence • • NORMAL (40-69) — Valid context • · WEAK (<40) — Filtered or muted ▸ Multi-Swing OTE Detection (UNIQUE) Tests every OB against 3 pivot lengths in parallel (5/10/20 by default). • 1 match → OTE • 2 matches → OTE×2 • 3 matches → OTE×3 (rare premium confluence across all timeframes) ▸ Fair Value Gap Detection 3-bar FVG pattern automatically detected on every OB and tagged. ▸ Structure Breaks (BOS / CHoCH) Dual-Pivot • Internal structure (pivot 3) — dotted lines, scalp timing • Major structure (pivot 10) — solid lines, swing context • Validated 100% by close (no wick fakeouts) • Auto-distinction BOS (continuation) vs CHoCH (reversal) ▸ Asset Auto-Detection Auto-detects Crypto vs Forex/Metals based on symbol. Manual override available. ▸ Mitigation Tracking Mitigated OBs fade to gray automatically. Choose Wick or Close mitigation. ▸ HUD Dashboard Live tracking of Structure / HTF Bias (configurable TF) / Last Signal. ◆ HOW TO USE ◆ 1. Add to chart (works on all timeframes, optimized for M1 to H4). 2. Watch for OBs with score ≥70 (STRONG+) in your trading direction. 3. Prioritize entries on OBs flagged with FVG and/or OTE×2 / OTE×3. 4. Use BOS/CHoCH MAJOR signals to confirm structural shifts. 5. Check the HUD for instant context : are you aligned with HTF bias? ◆ RECOMMENDED SETTINGS ◆ XAUUSD / FX Majors — M3 / M5 scalping : • Pivot Length : 5 • Internal pivot : 3 | Major pivot : 10 • OTE pivots : 5 / 10 / 20 • Min score : 60 (only NORMAL+) • Mitigation : Close BTCUSD / Crypto — M15 / H1 : • Pivot Length : 5 • Min score : 50 • Asset mode : Crypto (or Auto) Higher timeframes (H1+) : • Increase pivot lengths proportionally • Min score : 70 ◆ A+ SETUP CHECKLIST ◆ ✓ OB tier : ★ MONSTER or ◆ STRONG ✓ Score ≥ 80 ✓ FVG tag present ✓ OTE×2 or OTE×3 (multi-timeframe confluence) ✓ Aligned with HTF bias (check HUD) ✓ Recent CHoCH Major in same direction ✓ During session killzone (London 9h-12h CET or NY 14h30-17h CET) ◆ CREDITS ◆ Original OB detection logic forked from LuxAlgo's open-source "Order Block Detector". Multi-Swing OTE, scoring system, structure breaks, asset adaptive engine and visual hierarchy by Valentin. Published under CC BY-NC-SA 4.0 — free to use, modify and share with attribution. Commercial redistribution prohibited. ═══════════════════════════════════════════════ Disclaimer : not financial advice. Order Blocks are a technical concept — no indicator predicts the future. Always backtest on your asset/timeframe and use proper risk management. Past performance ≠ future results. ═══════════════════════════════════════════════
อินดิเคเตอร์ Pine Script®
โดย XAU_Shelby
AetherEdge Adaptive Fibonacci AI🖊️ Overview AetherEdge Adaptive Fibonacci AI is a machine-learning-driven adaptive Fibonacci engine that completely transcends traditional static ratios. A KNN (K-Nearest Neighbors) algorithm extracts the most similar historical regimes from up to 2,000 prior bars and learns which golden ratios actually worked in those analogous conditions. It then probabilistically computes a breakout probability for each level — a revolutionary tool that visualizes "which Fib will hold" as a forward-looking forecast. 🔶 Key Features Dynamic Swing Detection: ATR-based filtering of meaningful swings only KNN Similarity Engine: 6-dimensional feature × cosine similarity matching Adaptive Fibonacci: Learns ratios that worked in similar regimes 3 Modes: Standard (fixed) / Adaptive (learned) / Hybrid (fused) Breakout Probability Forecast: % probability displayed per level 3-Tier Color Coding: High / Mid / Low breakout probability Predicted Extension Lines: 1.272 / 1.618 / 2.0 projection rendering Dynamic Line Width: Higher similarity = thicker emphasis Stats Panel: Visualizes similarity, ratio adoption, and processing state 🧠 Technical Architecture This indicator is a KNN-driven Fibonacci AI that "learns from the past." Swing Detection: pivothigh / pivotlow at swingLen, filtered by minSwingATR × ATR to eliminate noise. Swing ID tracking minimizes recomputation. 6-Dimensional Feature Vector: ①Return (f_ret) ②Volatility ratio (f_volaRatio) ③Volume ratio (f_volRatio) ④EMA slope (f_slope) ⑤Range position (f_rangePos) ⑥Normalized RSI (f_rsi) — vectorizes current market state. Cosine Similarity: Computes similarity between the current vector and each historical state vector, quantifying regime resemblance on a -1 to 1 scale. KNN Search: Scans historyBars range with sampleStep intervals, extracts top-K (knnK) similar states. similarityMin threshold filters out low-quality matches. Level Harvesting: Reverse-engineers reactive price levels from analogous regimes, matches them against candidateRatios (18 ratios from 0.146 to 2.618), and accumulates them into adaptiveRatios. Weighted Voting: Each ratio is quality-scored via similarity-weighted voting. Breakout Probability: Calculated from price behavior (break vs. respect) around each level over probLookback bars. Hybrid Mode: Combines standard Fibs with adaptive Fibs to harness both worlds. ⚙️ Recommended Settings & Tuning Guide Crypto Defaults: BTC (4H): swingLen=10, knnK=8, historyBars=2000, similarityMin=0.55 ETH (1H): swingLen=8, knnK=10, historyBars=1500, similarityMin=0.50 SOL/XRP (15M): swingLen=6, knnK=12, historyBars=1200, similarityMin=0.45 Long-Term (1D): swingLen=15, knnK=6, historyBars=3000, similarityMin=0.60 Tuning Guide: Precision: similarityMin=0.70, knnK=5 for ultra-selective matching Maximum learning: historyBars=4000, sampleStep=2 to maximize data Speed priority: sampleStep=5, featureLen=15 to reduce load Trending markets: includeExt=true, showBeyond=true for projection emphasis Range markets: adaptMode=Adaptive to prioritize learned ratios Beginners: adaptMode=Hybrid offers the safest standard + AI dual view 💡 How to Use in Practice High-Probability Bounce: colLowProb (green) levels are strong S/R — bounce entry candidates Breakout Plays: colHighProb (red) levels signal high break expectation — follow-through trades Adaptive Edge: Non-standard ratios (0.65, 0.707, etc.) appearing in Adaptive mode are regime-specific key levels Extension Targets: Use 1.272 / 1.618 / 2.0 projections for take-profit Multi-Timeframe: Higher TF adaptive Fibs + lower TF entry refinement AetherEdge Synergy: When Neural OB Evolution elite OBs overlap an adaptive Fib → confluence powerhouse zone ⚠️ Important Notes The first several hundred bars lack training data, so Adaptive mode may not function well early on Increasing historyBars improves accuracy but raises computational load (trade-off) Effectiveness drops during sudden regime shifts that have no historical analog Levels are not drawn until swings confirm (swingLen bars later) KNN processing executes on bar close — real-time reflection occurs on the next bar Excessively large featureLen risks over-referencing outdated patterns 🚨 Disclaimer This indicator is provided for educational and research purposes only and does not constitute financial advice. KNN similarity and probability forecasts are based on historical data and do not guarantee future performance. All trading decisions are made at your own risk and should be accompanied by proper risk management.
อินดิเคเตอร์ Pine Script®
โดย AetherEdge
Institutional Retail Trap PRODescription: Institutional Retail Trap PRO is an advanced order flow indicator designed to identify the behavioral difference between institutional ("smart money") participants and retail traders — and more importantly, to detect when retail traders are caught on the wrong side of the market. Unlike standard momentum indicators, this tool weights price movement against relative volume and candle displacement to estimate who is actually driving price at any given moment. How it works: The indicator calculates buy and sell pressure based on where price closes within each candle's range, then scales that pressure by relative volume (current volume vs. average volume). This creates a raw flow signal that is split into two streams — one representing institutional activity and one representing retail activity — both normalized using RSI to produce clear, readable oscillator lines. The two lines: Aqua line (Commercials / Smart Money) — rises when volume-weighted buying pressure dominates, suggesting institutional accumulation or aggressive buying Red line (Retail Traders) — the inverse, rising when retail-style selling or chasing behavior dominates Key levels: Above 60 — dominant zone, one side is in control 50 — equilibrium, no clear dominance Below 20 — exhaustion zone, the dominant flow is fading Signals: Lime circle (Smart Money Entry) — smart money line crosses above retail line while still in low territory, suggesting institutional accumulation beginning Orange circle (Smart Money Exit) — smart money line crosses below retail line from high territory, suggesting distribution Red triangle down (Retail Long Trap) — retail is overextended long while smart money is weak and price closes bearish with displacement — classic bull trap setup Aqua triangle up (Retail Short Trap) — retail is overextended short while smart money is strong and price closes bullish with displacement — classic bear trap setup Background shading: Green background — smart money in dominant zone Red background — retail flow dominant, potential exhaustion or reversal ahead Displacement filter: A built-in displacement filter ensures signals only trigger when the candle body exceeds the average range by a configurable multiplier. This filters out low-conviction signals during choppy, low-momentum periods. Best used with: Price action context, key support and resistance levels, volume profile, and multi-timeframe analysis. Works on all liquid markets — indices (ES, NQ, DAX), forex majors, gold (XAUUSD), and high-volume crypto pairs. Most effective on the 1m, 3m, 5m, and 15m timeframes for intraday trading. Settings: Flow Length — RSI normalization period (default 14) Flow Smoothing — EMA smoothing on the raw flow signal (default 5) Volume Average — baseline volume period for relative volume calculation (default 20) Displacement Strength — multiplier for the candle body displacement filter (default 1.5) Show Trap Signals — toggle all signals on/off Show Zones — toggle zone fills on/off Background Coloring — toggle background shading on/off Note: This indicator does not use real-time order book or Level 2 data. Institutional flow is estimated using price-volume analysis relative to recent averages. Always use in confluence with other tools and proper risk management. Past signals do not guarantee future results.
อินดิเคเตอร์ Pine Script®
โดย M_nissen
Smart Money vs Retail Flow This indicator estimates the balance of power between institutional ("smart money") participants and retail traders by analyzing the relationship between price movement and volume relative to its average. How it works: Smart money tends to move markets with purpose — large volume accompanied by decisive price movement. Retail traders often chase price, buying tops and selling bottoms. This indicator attempts to separate these two behaviors by weighting price momentum against normalized volume activity, then applying RSI-based normalization to create two oscillating lines that reflect each group's relative dominance. The two lines: Aqua line (Commercials / Smart Money) — rises when significant price movement is backed by above-average volume, suggesting institutional participation Red line (Retail Traders) — the inverse signal, rising when retail-style flow dominates Key levels: Above 70 — dominant zone. When the smart money line crosses above 70, institutions are aggressively entering Below 30 — exhaustion zone. A crossover back above 30 on the smart money line triggers a buy signal 50 — midline equilibrium between buyers and sellers Signals: Green triangle (Smart Money Buy) — smart money line crosses back above 30, suggesting institutional accumulation after a pullback Red triangle (Retail Trap) — retail line crosses above 70, suggesting retail traders are overextended and a reversal may follow Background shading: Green background — smart money in dominant zone Red background — retail flow in dominant zone, potential exhaustion or trap Best used with: Price action context, support/resistance levels, and volume profile. Works on all assets and timeframes. Most effective on liquid markets such as indices (ES, NQ, DAX), major forex pairs, and high-volume crypto pairs. Settings: Momentum Length — RSI normalization period (default 14) Volume Length — baseline volume average period (default 20) Smoothing — EMA smoothing applied to raw flow signal (default 5) Note: This indicator does not use actual order book or Level 2 data. Smart money flow is estimated using price-volume weighting relative to average volume. Use in confluence with other analysis for best results.
อินดิเคเตอร์ Pine Script®
โดย M_nissen
AetherEdge Liquidity Void Detector🖊️ Overview AetherEdge Liquidity Void Detector is a next-generation indicator that fuses liquidity sweep detection with a NeuraLib-style multivariate probability model to visualize the hidden "price vacuum zones" (Liquidity Voids) lurking in the market. It probabilizes the footprints left by smart money through an AI sigmoid function and forecasts the unfilled zones price is destined to revisit. The full institutional logic of Sweep → Void generation → Fill prediction is automated end-to-end. 🔶 Key Features Automatic Liquidity Sweep Detection: Wick, rejection, and confirmation logic NeuraLib-Style Probability Model: 4 features × weighted sigmoid for Void probability Dynamic Void Zone Generation: ATR-based size filter + adjacent merging Fill Direction Prediction: Arrows visualizing where price must go Target Line Drawing: Clear Fill price markers Volume Anomaly Confirmation: Dual-validation via Z-score + burst multiplier Probability Labels: Numerical confidence per Void Stats Panel: Active Void count and average probability in real time 🧠 Technical Architecture This indicator is a sophisticated liquidity analysis engine merging Smart Money Concepts (SMC) with a machine-learning-style probability model. Liquidity Sweep Detection: Detects temporary breaks of recent highs/lows over sweepLookback bars followed by wick rejection. Confirmed when upperWick/candleRng ≥ sweepWick, rejection ≥ sweepRejection × ATR, and a reversal candle prints. 4-Feature Probability Model: ①sweepStrength (rejection/ATR) ②volZ (volume Z-score) ③priceImpulse (3-bar move/ATR) ④gapMagnitude (open gap/ATR). NeuraLib-style Sigmoid Scoring: p(void) = σ(1.8·sweep + 0.9·volZ + 0.6·impulse + 0.4·gap − 1.2). Logistic-regression-style scoring with pretrained-style fixed weights. Volume Anomaly Confirmation: Triggered by volZ > volZThreshold OR volume > volMA × volBurstMul to suppress false positives. Void Zone Generation: Boundaries determined by sweep direction. Bullish Void = vacuum below; Bearish Void = vacuum above. Adjacent Merging: Auto-merges Voids within voidMergeATR × ATR proximity to reduce visual noise. Lifecycle Management: Voids expire after voidMaxBars or transition to filled when price reaches them. Fill Urgency Decay: fillUrgencyDecay exponentially decays urgency over time, prioritizing fresh Voids. ⚙️ Recommended Settings & Tuning Guide Crypto Defaults: BTC (4H): sweepLookback=20, voidProbMin=0.55, volZThreshold=2.5 ETH (1H): sweepLookback=15, voidProbMin=0.60, sweepWick=0.65 SOL/XRP (15M): sweepLookback=12, voidProbMin=0.50, volBurstMul=2.5 Long-Term (1D): sweepLookback=30, voidProbMin=0.65, voidMaxBars=150 Tuning Guide: High-frequency signals: voidProbMin=0.45, sweepWick=0.5 for looser detection High-quality only: voidProbMin=0.70, sweepConfirm=2 for precision priority Volatile markets: volZThreshold=3.0, volBurstMul=3.0 for stricter anomaly criteria Quiet markets: sweepRejection=0.3, voidMinSize=0.3 for higher sensitivity Scalping: voidExtendBars=20, fillUrgencyDecay=0.90 for short-term projection Swing: voidExtendBars=80, voidMaxBars=150 for long-term Void tracking 💡 How to Use in Practice Sweep → Reversal: Upward sweep + high-probability Bearish Void = short opportunity Void Fill Trades: Enter along Fill direction arrow toward target line Unfilled Zone Targets: Use high-probability Voids as profit targets Multi-Timeframe: Sweep on lower TF inside higher-TF Void = sniper entries Volume Anomaly Confirmation: Z-score + volBurst together = likely institutional flow AetherEdge Synergy: Overlap with Regime-Aware Trend Channel boundaries → ultra-high-confidence zones Avoid: Voids below 0.55 probability or sweeps without volume anomaly ⚠️ Important Notes Liquidity Void is a hypothesis based on SMC; fills are not guaranteed News-driven moves may behave outside model assumptions Excessively low voidProbMin produces signal overload and noise Weights are fixed and not optimized per specific instrument Increasing confirmation bars boosts accuracy but adds latency Merging may consolidate multiple Voids into one zone 🚨 Disclaimer This indicator is provided for educational and research purposes only and does not constitute financial advice. Liquidity Void detection and probability modeling are based on historical data and fixed-weight coefficients, with no guarantee of future performance. All trading decisions are made at your own risk and should be accompanied by proper risk management.
อินดิเคเตอร์ Pine Script®
โดย AetherEdge
Market Euphoria Index - MEI - Predict Market Tops & BottomsA composite macro indicator designed to peak BEFORE major equity market tops — not during the crash. Most "fear & greed" gauges are coincident: they spike with the panic, not before it. The MEI flips that. It measures how much euphoria and late-cycle stress have built up over months of bull market, so it tends to peak in the run-up to a top rather than at the bottom. What it captured historically (visual backtest on monthly SPX): — Climbed into the red zone ahead of the August 1987 top — Peaked ahead of the March 2000 dot-com top — Peaked ahead of the October 2007 GFC top — Peaked ahead of the January 2022 top — Dropped to the extreme-fear zone near every major bear-market bottom that followed The six components (default weights): — Price extension vs 5-year SMA (30%) — the primary leading signal. SPX has been 25-55% above its 5-year average at every major top since 1980. — Yield curve un-inversion clock (25%) — tracks months since the 10Y-2Y spread last went negative. Peak warning is 0-12 months after the curve un-inverts (this is the actual recession trigger, historically). — VIX 12-month average (15%) — captures sustained complacency, not single panic spikes. Low for a year = top buildup. — Inflation re-acceleration (10%) — 6-month change in CPI YoY. Late-cycle inflation shocks (2000, 2007, 2022) are the classic top catalyst. — Real rate stress (10%) — 10Y nominal yield minus CPI YoY. High and rising = tightening financial conditions. — Fed cycle position (10%) — high and plateauing = peak late cycle; aggressive cuts = bottom signal. How to read the line: — Above 80 (red) = EXTREME EUPHORIA, historical top zone, reduce risk — 65 to 80 (orange) = Euphoria warning, late cycle, tighten stops — 35 to 65 (gray) = Neutral — 20 to 35 (green) = Fear, opportunity zone — Below 20 (lime) = EXTREME FEAR, historical bottom zone Best timeframe: monthly (M) or weekly (W) on SPX, NDX, QQQ, or SPY. All economic data is fetched at monthly resolution regardless of your chart's timeframe, so the indicator reads the same whether you're on D, W, or M. Customizable: every component weight and threshold is exposed in the settings. Bump up "Price extension" if you want more sensitivity to bubbles, or "Yield curve" if you trust macro recession signals more than price action. Built-in alerts: Euphoria warning, Extreme euphoria, Fear, Extreme fear — all four crossovers are configurable from the alert menu. To overlay on SPX: right-click the indicator name, then "Move pane to" then "Above", then "Pin to scale" to give it its own axis on the price chart. Data sources (all free, built into TradingView): SP:SPX, FRED:T10Y2Y, CBOE:VIX, ECONOMICS:USIRYY, FRED:FEDFUNDS, TVC:US10Y Honest limitations: — This is a macro/cyclical tool, useless for intraday or short-term timing. — Designed to call major bull/bear turning points, not 10-20% corrections. — The 2020 COVID crash was an exogenous shock no macro model could predict; the MEI would not have warned you. — Past patterns are not guarantees. Current dynamics (AI capex, geopolitics, structural inflation) may break historical relationships. — Not financial advice. Use alongside your own analysis.
อินดิเคเตอร์ Pine Script®
โดย brian7683
AetherEdge - All-in-One Dashboard🖊️ Overview AetherEdge All-in-One Dashboard is the ultimate professional command center that unifies four core analytical pillars—Trend, Momentum, Volatility, and Volume—with a sophisticated Signal Probability Engine. Each module independently computes scores, then weighted aggregation combined with an "Alignment Score" and pseudo live Win-Rate tracking delivers final verdicts—revealing multi-dimensional market truths that no single indicator can capture. A 25-row professional dashboard plus AI-powered VERDICT instantly supports every trading decision. 🔶 Key Features 4-Module Integrated Analysis: Trend / Momentum / Volatility / Volume Signal Probability Engine: Quantifies Bull/Bear probability in % Alignment Score: Auto-adjusts confidence via inter-module dispersion Weighted Scoring System: Fully customizable module weights Pseudo Live Win-Rate Tracking: Auto-tallies 5-bar prediction accuracy AI VERDICT: 4-tier recommendations (HIGH-CONVICTION / Consider / Await / No Edge) Squeeze Detection & Background Highlight: BBW percentile pre-explosion alerts Volatility Regime Classification: 5 tiers (EXTREME HIGH → SQUEEZE) Money Flow Analysis: OBV + CMF + MFI composite scoring Multi-Indicator Coverage: EMA/MACD/RSI/Stoch/ADX/ATR/BB all unified 5-Tier Signal Strength: ULTRA / STRONG / MODERATE / WEAK / NONE 3 Sizes × 6 Positions: Fully flexible dashboard layout 7 Alert Types: Signal / Squeeze / Volume / Trend cross coverage 🧠 Technical Architecture This indicator is a high-end decision-support system built on a multi-axis score integration engine with alignment-based confidence correction. Trend Module: EMA Stack (21/50/200) alignment score (±100) Price vs EMAs positional score ADX × DMI directional score Weighted blend (EMA 0.4 / Price 0.3 / ADX 0.3) Momentum Module: RSI normalized (-100 to +100) MACD histogram % scaling Stochastic %K/%D cross detection Weighted blend (RSI 0.35 / MACD 0.4 / Stoch 0.25) Volatility Module: ATR% percentile rank within volRegLen window BB Width Percentile for Squeeze detection Squeeze grants +30 bonus score (expansion imminent) Volume Module: OBV vs EMA slope analysis CMF (Chaikin Money Flow) ×200 scaled MFI normalized score Weighted blend (OBV 0.35 / CMF 0.3 / MFI 0.35) Signal Probability Engine: Weighted composite = Σ(module × weight) / total weight Bull Prob = 50 + composite × 0.5 Alignment Score = 100 - σ(modules) Final Prob = (max × Alignment/100 × 0.7) + (max × 0.3) Win-Rate Tracking: Pending array logs signal → 5-bar outcome auto-aggregation, displaying cumulative Win-Rate and trade count AI VERDICT: Integrates probability, direction, and Squeeze state to generate 4-tier action recommendations ⚙️ Recommended Settings & Tuning Guide Crypto Defaults: BTC (1H–4H): Standard defaults (EMA 21/50/200, sigMinProb=70) ETH (15M–1H): emaFast=13, sigMinProb=72 for precision SOL (high-vol): volRegLen=150, wVol=1.0 for explosion detection XRP (range): wMom=1.5, wTrend=1.0 for momentum focus Weight Strategies: Trend Follower: wTrend=2.0, wMom=1.0 Reversal Trader: wMom=1.5, wVol=1.2 (leverage Squeeze bonus) Volume-Centric: wVolume=1.5, wTrend=1.0 Balanced: Default (wTrend=1.5, wMom=1.2, wVol=0.8, wVolume=1.0) Signal Quality: Ultra-Selective: sigMinProb=80, ULTRA/STRONG only (max Win-Rate) Standard: sigMinProb=70 (recommended) Frequency-Focused: sigMinProb=60, MODERATE+ Dashboard Sizes: Compact: Multi-chart layouts Normal: Standard use Large: Deep analysis / streaming (recommended) 💡 How to Use in Practice VERDICT = HIGH-CONVICTION: Strongest signal, consider full position Squeeze ACTIVE: Confirm direction, then enter on breakout (Await Breakout displayed) Alignment > 70%: High confidence, technicals unified—win-rate boost Alignment < 40%: Caution, market chaos—stand aside Win-Rate > 60% + Bull Prob > 75%: System on hot streak, trade aggressively Volume INFLOW + Trend STRONG BULL: Maximum continuation confidence ATR EXTREME HIGH: Reduce position size, tighten risk management MACD Bull Cross + RSI 30–60 + ADX > 25: Ideal long setup AetherEdge Synergy: Liquidity Sweep Detector Bullish Sweep + AIO HIGH-CONVICTION LONG = institutional sync Self-Evolving S/R Grid strong support + ULTRA Long = perfect dip-buy WaveTrend Enhanced Bull Cross + all modules aligned = textbook bottom Multi-TF Strategy: 4H for trend → 1H for signal wait → 15M for precision entry ⚠️ Important Notes Win-Rate Metric: Cumulative since chart load; treat <20 samples as preliminary Low Alignment: Auto-discounts signal confidence Squeeze Bonus: Volatility precursor, not directional—confirm separately Weak ADX (< 25): Trend score reliability degraded Avoid Over-Optimization: Tune 2-3 params at a time Signal Trigger: Requires both Composite=0 cross AND probability threshold 🚨 Disclaimer This indicator is a technical analysis tool provided for educational and research purposes only and does not constitute financial advice. Signal probabilities, win-rates, and VERDICTs are statistical estimates based on historical data and do not guarantee future profits. All trading decisions are made at your own risk and should be accompanied by proper risk management.
อินดิเคเตอร์ Pine Script®
โดย AetherEdge
AetherEdge Hybrid AI Bias🖊️ Overview AetherEdge Hybrid AI Bias is a cutting-edge hybrid prediction indicator that fuses two distinct machine learning paradigms: K-Nearest Neighbors (KNN) and a 4-3-1 Neural Network (MLP). By dynamically blending memory-based pattern recognition with gradient-descent online learning through confidence-weighted fusion, it achieves predictive accuracy unreachable by any single model. 🔶 Key Features Dual AI Engine: Hybrid fusion of KNN + Neural Network 4D Feature Space: Momentum, RSI deviation, EMA position, volatility expansion Distance-Weighted KNN: Top-8 neighbors weighted by inverse distance Online Learning MLP: 4-3-1 tanh-activated network Dynamic Confidence Fusion: Auto-adjusted weighting based on each model's certainty 3-Tier Bias Classification: Clear Bullish / Neutral / Bearish signals Future Return Prediction: Forecasts directional bias at chosen horizon Tanh-Squash Normalization: All features standardized to 🧠 Technical Architecture This indicator integrates two distinct AI paradigms into a true ensemble learning system. Feature Engineering: ①ATR-normalized 10-bar momentum, ②scaled RSI-50 deviation, ③ATR-distance from EMA50, ④ATR vs 50-SMA expansion ratio. All compressed to via the squash (tanh-like) function. KNN Engine: Computes Euclidean distance between current 4D feature vector and historical patterns over the lookback window. Top-8 neighbors are extracted, then averaged with inverse-distance weights (1/(d+ε)). Confidence is derived as exp(-meanDistance). Neural Network Engine: 4-input → 3-hidden (tanh) → 1-output MLP. Persistent weight variables enable genuine continual learning across bars, with gradient descent applied over mini-epochs each bar. Target Construction: Future return at horizon, normalized by ATR × horizon, then squashed to a smooth label in . Hybrid Fusion: hybridW provides static weighting; additionally, the confidence differential dynamically biases toward whichever model is more certain — an adaptive ensemble. Threshold Classification: bullThr/bearThr discretize the prediction into three actionable bias regimes. ⚙️ Recommended Settings & Tuning Guide Crypto Defaults: BTC/ETH (4H–1D): lookback=100, k=8, horizon=5, hybridW=0.5 SOL/XRP (1H): lookback=150, k=10, horizon=3, nnRate=0.08 (faster learning) Scalping (5M–15M): lookback=80, k=5, horizon=2, hybridW=0.3 (KNN-favored) Long Swing (1D): lookback=200, k=12, horizon=10, hybridW=0.7 (NN-favored) Parameter Tuning: Slow/sluggish learning: Raise nnRate to 0.08–0.15, increase nnEpochs to 5 Noisy predictions: Widen bullThr/bearThr to ±0.30 for stronger filtering New symbol/cold start: hybridW=0.3 to favor KNN (instant pattern recall) Mature trend regime: hybridW=0.7 to favor NN (leverages trained weights) 💡 How to Use in Practice Bias-Driven Entry: Confirmed Bullish + price pullback → long Early Reversal Detection: Neutral → Bearish transition triggers long exit Multi-Timeframe: Confirm 1D bias → use 1H for precise execution AetherEdge Combinations: RFMA slope + Hybrid AI Bias agreement = elite-tier signal Counter-Trade Filter: Avoid longs in Bearish regime; skip shorts in Bullish regime ⚠️ Important Notes NN weights start from initial defaults — minimum lookback + 50 bars warmup recommended NN weights reset to defaults on indicator reload Horizon-based target uses only known historical data (no look-ahead bias) Watch for squash function saturation during extreme volatility shocks KNN is computationally heavy — avoid excessively large lookback values 🚨 Disclaimer This indicator is provided for educational and research purposes only and does not constitute financial advice. AI model predictions are based on historical data and do not guarantee future performance. All trading decisions are made at your own risk and should be accompanied by proper risk management.
อินดิเคเตอร์ Pine Script®
โดย AetherEdge
AetherEdge Pattern Recognition Trendline🖊️ Overview AetherEdge Pattern Recognition Trendline is a next-generation automated pattern recognition indicator that fuses classical chart pattern theory with an AI scoring engine. It detects major patterns such as Head & Shoulders, Double Top/Bottom, Triangle, Wedge, Flag/Pennant, and Rectangle in real time, while quantifying their reliability through a 5-dimensional AI score covering shape fit, symmetry, volume profile, time profile, and trend context. It is the ultimate platform for fully automating the artisanal art of chart analysis. 🔶 Key Features 8 Major Pattern Detections: H&S, IH&S, DT, DB, Triangle, Wedge, Flag/Pennant, Rectangle 5-Dimensional AI Scoring: Shape / Symmetry / Volume / Time / Trend Context Dynamic Pivot Analysis: Up to 60-pivot historical buffer Target Zone Projection: Measured-Move-based price targets Automatic Neckline Drawing: Visualizes breakout reference levels ATR-Based Tolerance: Allows natural fluctuation in peak/trough heights Trend Context Evaluation: Incorporates EMA21/55 bias for pattern validity Break Confirmation Logic: ATR-coefficient-based false-signal filter Pattern Lifecycle Management: Tracks Detected / Completed / Failed states Stats Panel: Cumulative count of detections, completions, and failures 🧠 Technical Architecture This indicator is an advanced system that redefines classical technical theory through AI scoring. Pivot Detection: Detects pivot highs/lows over pivotLR bars and stores price, bar index, and type (high=1, low=-1) in a structured buffer. Pattern Library: Each pattern requires at least minPivots pivots and is geometrically validated against shape rules (e.g., H&S: center peak highest, shoulders at similar levels). Shape Fit Score: Normalizes the deviation from the theoretical ideal using ATR × atrTol. Symmetry Score: Quantifies time/price symmetry between left and right halves; misshaped patterns score low. Volume Profile Score: Compares average volume in the early and late halves of the pattern; healthy patterns typically decay in volume during the late phase. Time Profile Score: Patterns under 15 bars are penalized (0.3), peak around 30 bars (1.0), decay above 80 bars, and become stale beyond 150. Trend Context Score: Bullish patterns (IH&S, DB, etc.) score higher in uptrends; bearish patterns score higher in downtrends; neutral patterns gain bonus when a clear directional bias exists. AI Composite Score: Weighted average of all five components, evaluated against the minScore threshold. Pattern UDT: A type-safe structure holding name, startBar, endBar, neckline, target, stop, score, col, bullish, completed, failed, and line references. Lifecycle Tracking: Maintains Detected / Completed / Failed counters via the stats array. ⚙️ Recommended Settings & Tuning Guide Crypto Defaults: BTC (4H): pivotLR=5, minScore=0.55, atrTol=0.5, zoneFactor=1.0 ETH (1H): pivotLR=4, minScore=0.50, atrTol=0.6, projBars=30 SOL/XRP (15M): pivotLR=3, minScore=0.45, atrTol=0.7, breakConfirm=0.3 Long-Term (1D): pivotLR=8, minScore=0.65, maxLookback=300, zoneFactor=1.5 Tuning Guide: Strict Mode: minScore=0.70, wShape=0.40 to capture only premium patterns Relaxed Mode: minScore=0.40, atrTol=0.8 to detect a wider range Trend-Focused: wTrend=0.30, wShape=0.20 to prioritize trend alignment Volume-Focused: wVol=0.35 to surface only volume-backed patterns Symmetry-Focused: wSym=0.30 for clean structures (great for H&S, DT/DB) Short-Term Scalping: projBars=20, breakConfirm=0.1 for early entries Long-Term Investing: zoneFactor=1.5–2.0 for larger targets 💡 How to Use in Practice H&S/DT detected + neckline break: Bearish entry; use target zone as profit objective IH&S/DB detected + neckline break: Bullish entry; hold until Measured Move target Triangle detected: Wait for breakout; trade in the direction once breakConfirm is exceeded Wedge detected: Rising wedge = bearish reversal; falling wedge = bullish reversal Flag/Pennant: Trend-continuation pattern, ideal for pullback/retest entries Rectangle: Range trades at extremes; breakouts confirm directionality Multi-Timeframe: Higher-TF pattern + lower-TF break = high-confidence setup AetherEdge Synergy: Combine with Quantum-Inspired Breakout Scanner for probability × shape double confirmation Failed Pattern Edge: A "Failed" verdict often acts as a strong reverse signal ⚠️ Important Notes Pivot confirmation introduces a pivotLR-bar lag Patterns are drawn upon completion; exercise caution for real-time entries Excessively low minScore increases false detections Patterns longer than maxLookback are excluded Multiple overlapping patterns may be drawn simultaneously Volume Score accuracy degrades on instruments with unreliable volume data 🚨 Disclaimer This indicator is a technical analysis tool provided for educational and research purposes only and does not constitute financial advice. AI scores are evaluations based on historical shape rules and statistical properties and do not guarantee future performance. All trading decisions are made at your own risk and should be accompanied by proper risk management.
อินดิเคเตอร์ Pine Script®
โดย AetherEdge
AetherEdge Liquidity AI SentinelAetherEdge Liquidity AI Sentinel 🖊️ Overview AetherEdge Liquidity AI Sentinel fuses liquidity sweep detection (stop hunts) with KNN (K-Nearest Neighbors) machine learning to deliver a self-learning reversal AI. By memorizing past sweep patterns and comparing real-time feature vectors against historical analogs, it computes a probabilistic reversal score and alerts only on high-conviction setups — a true market sentinel that tracks the footprints of smart money. 🔶 Key Features Automatic Liquidity Sweep Detection: Captures stop hunts beyond swing H/L with wick rejection KNN Machine Learning Engine: Predicts reversal probability from historical analogs 3D Feature Space: Z-score normalized RSI, relative volume, and relative ATR Self-Learning Memory: Stores up to 2000 sweep patterns Auto-Outcome Labeling: 10-bar forward evaluation tags success/failure Probability Threshold Filter: Only fires above minProb conviction Minimalist Visuals: Tiny ghost arrows preserve chart clarity 🧠 Technical Architecture The engine merges liquidity theory with a KNN self-learning core. Sweep Detection Layer: Identifies price action that exceeds pivot H/L, closes back inside, and produces a wick larger than ATR × sweepBuffer — the classic stop-hunt signature. Feature Engineering: RSI, volume/volMA ratio, and ATR/close ratio are Z-score normalized, producing a regime-agnostic 3D feature vector. Pattern Memory: Each sweep stores features, direction, and bar index in a FIFO buffer auto-pruned at historyLen. Automatic Outcome Labeling: After 10 bars, each record is auto-evaluated as success (1) or failure (0) based on whether an ATR-magnitude reversal occurred. KNN Probability Inference: On new sweeps, K nearest same-direction historical cases are sampled, and their success rate becomes the live reversal probability. Two-Stage Filter: Arrows fire only when both sweep detection AND probability threshold are satisfied — strict elite-only output. ⚙️ Recommended Settings & Tuning Guide Crypto Defaults: BTC/ETH (1H–4H): Swing Length=10, K=8, Min Prob=0.65 SOL/XRP (15M–1H): Swing Length=7, K=5, Min Prob=0.7 (noise-resistant) Scalping (5M): Swing Length=5, Sweep Buffer=0.1, Min Prob=0.7 Swing (1D): Swing Length=15, History=1000, Min Prob=0.6 Tuning Tips: Insufficient learning data: Lower Min Prob to 0.55 to allow early signals Too many false sweeps: Raise Sweep Buffer to 0.1–0.2 for cleaner wicks K Neighbors: Few (3–5) = sensitive, many (10–20) = robust Pattern Memory: Longer = more statistical stability, but slower learning 💡 How to Use in Practice Long Setup: Sweep below recent swing low → close back inside → Bullish arrow → counter-trend long Short Setup: Sweep above recent swing high → close back inside → Bearish arrow → counter-trend short Multi-Timeframe: Confirm bias on HTF (4H) sweeps → enter precisely on LTF (15M) sweeps AetherEdge Combinations: Sweeps at S/R Grid major lines offer extreme conviction Stop Placement: Classic edge — place stops just beyond the sweep wick extreme ⚠️ Important Notes Initial ~100 bars are a learning warm-up phase with reduced accuracy Pivot confirmation introduces a swingLen-bar delay (confirmation lag, not repaint) Strong trends may continue beyond sweeps — strict risk management is essential Outcome evaluation is fixed at 10 bars; consider adjusting for extreme short/long-term regimes 🚨 Disclaimer This indicator is provided for educational and research purposes only and does not constitute financial advice. All trading decisions are made at your own risk and should be accompanied by proper risk management. Past performance is not indicative of future results.
อินดิเคเตอร์ Pine Script®
โดย AetherEdge
ULTIMATE SMC BREAKOUT AIThis is a Pine Script v5 trading indicator named "ULTIMATE SMC BREAKOUT AI". Summary of what it does and how it works: Purpose Detects breakout entries aligned with trend, plots suggested entry, stop-loss and two take-profit levels, highlights order blocks, an equilibrium line, and potential reversal zones. Provides alert conditions for buy/sell breakouts and reversal zones. User inputs (configurable) Fast/slow EMA lengths (default 50, 200) ATR length and SL multiplier (default ATR14, SL = 1.2 * ATR) TP1 and TP2 risk-reward multipliers (default 1.5 and 3.0) Confirmation bars (default 2) Toggles to show EMAs, Order Blocks, Equilibrium, Reversal Zones Core logic Trend filter: computes fast and slow EMAs. upTrend if EMA_fast > EMA_slow and price > EMA_fast; downTrend if EMA_fast < EMA_slow and price < EMA_fast. EMAs plotted if enabled. Market structure breakout: defines a 20-bar swing high/low. A bullish breakout is price > prior swingHigh; bearish breakout is price < prior swingLow. A breakout must persist for confirmBars to be considered confirmed. Entry signals: buySignal requires confirmed bullish breakout + upTrend; sellSignal requires confirmed bearish breakout + downTrend. buyFinal/sellFinal are first-bar triggers (only on the breakout bar). ATR-based SL/TP: uses ATR to set SL distance (SL = entry ± ATR * slATR). Risk = distance entry↔SL. TP1 and TP2 set at entry ± (risk * tpRR). Labels: when buyFinal/sellFinal occur the script places an on-chart label with ENTRY, TP1, TP2 prices. Additional plotted/annotated elements Order Blocks: highlights single-bar bullish order blocks (prior bar bearish, current close > prior high) and bearish order blocks (prior bar bullish, current close < prior low) as semi-transparent green/red boxes extending ~15 bars forward. Equilibrium zone: plots mid-price of 50-bar highest high and lowest low (a yellow line). Predictive Reversal Zones: marks potential reversal boxes when: Liquidity sweep detected (current high > highest high of 10 bars prior OR current low < lowest low of 10 bars prior), RSI conditions (RSI > 75 for bearish reversal, RSI < 25 for bullish reversal), Candle direction confirming (bearish candle for bearish reversal, bullish for bullish reversal). These draw colored boxes and labels for "REVERSAL BUY/SELL ZONE". Background color: faint green for upTrend, faint red for downTrend. Alerts Built-in alertconditions for BUY SIGNAL, SELL SIGNAL, Bullish Reversal, Bearish Reversal (triggerable in TradingView alerts). Practical notes / behavior Breakouts use a 20-bar swing lookback and require confirmationBars (default 2) — shorter/longer confirmation changes sensitivity. SL/TP are purely mechanical from ATR—no partial fills, order execution logic, or trade management beyond TP1/TP2 drawn. Order blocks detection is simplistic (single-bar pattern) and not a complex multi-bar block identification. Reversal zones use a combination of liquidity sweep + extreme RSI + candle direction; they are predictive markers, not guarantees. Designed for overlay on price; many plotted boxes/labels may clutter smaller timeframes or active instruments.
อินดิเคเตอร์ Pine Script®
โดย shary890
Aquila Reale - Wyckoff MASTER+Aquila Reale — Wyckoff MASTER+ | Auto Accumulation/Distribution + Smart TPs **BETA version — feedback highly appreciated.** First public release of this indicator. Logic carefully designed and syntax tested, but not yet personally traded live by the author. Treat findings as preliminary. --- ## What it does Detects whether the current market is in **ACCUMULATION** (smart money buying at lows) or **DISTRIBUTION** (smart money selling at highs) using a weighted 15-point scoring system across 5 Wyckoff dimensions: 1. **HTF Trend** — price vs EMA 50/200 on the higher timeframe 2. **Range Structure** — Higher Lows vs Lower Highs detection 3. **Volume Behavior** — up-bar vs down-bar volume balance + climax bars 4. **VSA Patterns** — Stopping Volume, No Demand, No Supply, SOS, SOW 5. **Price Position** — where price sits within the current range After detection, it plots **automatic operational levels** on the chart: - **Stop Loss** at the range extreme - **Entry** at the optimal Wyckoff zone - Up to **5 Take Profits**, prioritizing real historical pivot levels over geometric projections --- ## Why this is different Most Wyckoff indicators on TradingView fall in 3 categories: - **Too simple** — they only label "Spring" or "UTAD" without an operational setup - **Too theoretical** — they show measured moves with no realistic targets - **Black boxes** — they give you a buy/sell signal with no transparency This script does the opposite: - **Full transparency** — the dashboard shows each of the 5 sub-scores so you understand WHY the indicator says what it says - **Operational** — gives you SL, Entry, and TPs with realistic distances - **Smart TPs** — when possible, uses real historical swing levels (where price has reacted before), not arbitrary geometric projections - **Multi-mode** — you can force LONG/SHORT manually or let the indicator decide --- ## Reliability (realistic, not marketing) | Signal | Accuracy | |--------|----------| | ACCUMULATION / DISTRIBUTION with HIGH confidence | 75-80% | | FORCED LONG / FORCED SHORT (fallback mode) | 45-55% | | TP1 hit probability | 70-80% | | TP2 hit probability | 45-55% | | TP3 hit probability | 20-30% | These are estimates based on the underlying logic. Actual results vary by asset, market conditions, and timeframe. **No indicator is 100% accurate.** --- ## Recommended timeframes - **Daily** — Wyckoff lives here. Best signals, fewer trades. - **4-Hour** — Sweet spot for swing trading setups. - **1-Hour** — Good for entry timing, more noise. - **30/15-Minute** — Acceptable for scalping confirmation. - **5-Minute and below** — Not recommended (too much noise). ## Recommended assets - **Crypto (BTC, ETH)** — Real market volume, most reliable - **Indices (SPX, NDX)** — Reliable volume aggregation - **Stocks** — Reliable exchange volume - **Forex / CFDs / Commodities** — Volume comes from your broker only, less reliable --- ## How to use it **Step 1 — Read the verdict in the dashboard:** - **"ACCUMULATION" or "DISTRIBUTION"** = strong signal, consider trading - **"FORCED LONG" / "FORCED SHORT"** = weak signal (fallback), levels are technically valid but use your own analysis to confirm direction - **"WAIT"** = no clear setup, stay out **Step 2 — Filter by confidence:** - HIGH (>80%) = full position size acceptable - MEDIUM (60-79%) = half position size, tighter management - LOW or ZERO = reduce or skip **Step 3 — Trade management:** - Enter at the ENTRY level - Stop Loss at the STOP LOSS level - Take partial profits at TP1 (70-80% probability) - Move stop to break-even after TP1 is hit - Let the rest run to TP2 / TP3 - Never risk more than your predefined risk per trade (1-2%) **Step 4 — Multi-timeframe:** - Higher TF (Daily/Weekly) = directional bias - Mid TF (4H) = setup confirmation - Lower TF (1H/15min) = exact entry timing - Never take a trade against the higher timeframe bias --- ## Dashboard modes - **COMPLETE** — full panel with all 5 sub-scores, totals, verdict, confidence, signal, TP mode - **COMPACT** — only totals, verdict, confidence and signal (no labels column) - **MINIMAL** — single TRADE/WAIT cell - **HIDDEN** — no dashboard at all Position is configurable (9 positions) with X/Y offset for fine placement. --- ## Configurable parameters 29 inputs across 6 groups, each with detailed tooltips: 1. **Range & Pivot Detection** — lookback bars, pivot sensitivity 2. **Setup Direction** — AUTO / SHORT / LONG override 3. **Smart Take Profits** — TP multipliers, anchor mode (ENTRY or RANGE_EDGE), spacing, fallback 4. **Higher Timeframe Context** — HTF and EMA periods 5. **Volume Analysis** — volume MA, climax/high/low thresholds 6. **Visualization** — dashboard mode, size, position, offsets, label size, TP count Every parameter has guidance on which timeframe / asset class works best. --- ## Alerts Three configurable alerts: - **ACCUMULATION detected** — fires when score crosses the detection threshold - **DISTRIBUTION detected** — fires when score crosses the detection threshold - **ENTRY zone touched** — fires when price reaches the calculated entry level --- ## Feedback wanted This is a community-driven project. Specific questions for users: - Which timeframes work best for you? - Which assets give the most reliable signals? - Are the default TP multipliers realistic for your trading style? - Have you found settings that consistently outperform the defaults? - Any recurring false signal patterns that should be filtered? **Please leave a comment under the script with your experience.** Meaningful feedback will be credited in future version notes. --- ## Disclaimer — please read **Not financial advice.** This indicator and its output are for educational and informational purposes only. It does NOT constitute financial, investment, or trading advice. **No guarantee of profitability.** Past performance is not indicative of future results. Reliability percentages are estimates, not guarantees. **Use at your own risk.** Trading carries a high level of risk and may not be suitable for all investors. You may lose some or all of your capital. **No liability.** The author (giua64) shall not be held liable for any loss or damage arising from the use of this indicator. By using it you accept full responsibility for your trading decisions. **DYOR.** Always conduct your own research. Cross-check signals against other tools, fundamental analysis, and market context. **Paper trade first.** Test on a demo account or with paper trading before risking real capital. **Not tested live by author (yet).** This is the first public release. Treat findings as preliminary. **Volume limitations.** Volume data on Forex and CFDs comes from individual brokers and may not reflect true market volume, reducing the reliability of volume-based signals on those instruments. **Open source license.** Free to use for personal trading. If you build on this work please credit the original author. --- ## Credits Built on Wyckoff Method principles (Richard D. Wyckoff, early 1900s) and Volume Spread Analysis (Tom Williams, 1990s). Original Spring detector code by giua64. Smart historical TP logic and dashboard system designed for the **Aquila Reale** indicator suite. 🦅 *Aquila Reale — nate per volare, nate per osare* --- **Tags:** wyckoff, accumulation, distribution, volume-spread-analysis, vsa, smart-money, take-profit, automatic-levels, multi-timeframe, swing-trading, order-block, market-structure
อินดิเคเตอร์ Pine Script®
โดย giua64
Calculatrice de Position (DH)Case Rôle ① Montant risqué X.00DH —(ce que tu acceptes de perdre) ② Prix d'entrée: Ton prix d'achat / vente ③ Stop Loss: Ton niveau de sortie en perte ④ Objectif / Take Profit; Ta cible de profit Ce qui s'affiche sur le graphe : A- 3 lignes horizontales: bleue (entrée) · rouge (SL) · verte (TP) avec labels B- Label central entre entrée et stop avec la taille de position en unités Tableau avec tous les résultats : 1- taille de position, 2- capital engagé, 3- gain potentiel en DH, 4- ratio R/R coloré (✔ Excellent ≥ 2 · ~ Acceptable ≥ 1 · ✘ Risqué < 1)
อินดิเคเตอร์ Pine Script®
โดย ch66_hb
AetherEdge Quantum-Inspired Breakout Scanner🖊️ Overview AetherEdge Quantum-Inspired Breakout Scanner is a next-generation breakout prediction engine fusing KNN (k-Nearest Neighbors) pattern recognition with neural-net-style weighted scoring, built on quantum-inspired probabilistic thinking. It instantly searches similar historical patterns within a 6-dimensional feature vector space and computes probability waveforms across three states: Up, Down, and Sideways. The most likely scenario is "observed" (collapsed) from the superposition — a truly quantum-inspired advanced approach. 🔶 Key Features Dual AI Engine: Hybrid prediction via KNN + Neural Net 6-Dimensional Feature Space: Returns / Volatility / RSI / Momentum / Volume / Trend 3-State Probability Model: Up / Down / Sideways via softmax probability output KNN Historical Learning: Dynamic accumulation of up to 2,000 past patterns Tunable Neural Net Weights: Customizable across 6 features × 6 weights Trendline Projection: Probabilistic projection fans from pivot anchors Break Confirmation Logic: ATR-based false-positive suppression Probability Histogram & Fan: Visualizes future scenarios Stats Panel: Active predictions and dominant scenario in real time 🧠 Technical Architecture This indicator integrates two pillars of machine learning into a quantum-inspired probability model. Feature Engineering (6D): ①ret5 (5-bar return/ATR) ②volat (ATR volatility Z-score) ③rsiNorm (RSI deviation) ④mom (10-bar momentum/ATR) ⑤volNorm (volume Z-score) ⑥trendStr (DMI delta). All clipped to and normalized. KNN Pattern Recognition: On barstate.isconfirmed, generates 3-state labels (Up/Side/Down) from forwardBars-ahead returns and stores them with 6 features in a ring buffer (up to knnLookback). Computes Euclidean distance to current vector, extracts top-K, votes for class probabilities. Neural Net Scoring: Linear combination of 6 features × tunable weights (nnW1–nnW6) passed through softmax(temperature=nnTemp) to produce 3-class probabilities. Lower temperature sharpens conviction — a quantum-observation model. Hybrid Mixing: hybridMix linearly interpolates KNN and NN probabilities (0=pure KNN, 1=pure NN, 0.5=balanced). Sideways Classification: Range within sidewaysATR × ATR is labeled "Sideways," preventing noise-induced trend misclassification. Trendline Projection: Anchors at pivotLR-detected pivots and projects projBars forward in the dominant direction. Drawn only when probability exceeds minProb. Break Confirmation: Confirmed when price exceeds the line by breakATR × ATR, then highlighted. Defensive Coding: Dynamic array-size alignment, explicit boundary checks, and local variables fully eliminate state leakage. ⚙️ Recommended Settings & Tuning Guide Crypto Defaults: BTC (4H): knnK=15, forwardBars=10, hybridMix=0.5, minProb=0.45 ETH (1H): knnK=20, forwardBars=8, hybridMix=0.4, sidewaysATR=0.5 SOL/XRP (15M): knnK=10, forwardBars=6, hybridMix=0.6, minProb=0.50 Long-Term (1D): knnK=25, forwardBars=15, knnLookback=1000, sidewaysATR=0.8 Tuning Guide: Pure KNN: hybridMix=0.0, knnK=20 to emphasize historical patterns Pure NN: hybridMix=1.0, nnTemp=1.0 to emphasize weighted logic Trending markets: sidewaysATR=0.4 to narrow Sideways and emphasize directionality Ranging markets: sidewaysATR=1.0 to widen Sideways and suppress noise High-conviction only: minProb=0.60, nnTemp=0.8 for sharp observation Multi-scenario display: minProb=0.35, maxActive=5 for diversified prediction Strict break filter: breakATR=0.3 to eliminate fakeouts 💡 How to Use in Practice Up probability > 60% + confirmed break: Bullish entry, projection line as profit target Down probability > 60% + downside break: Short on retest, bearish setup Sideways dominant: Range trade or wait for breakout Multi-Timeframe: Higher-TF Up probability + lower-TF break = high-confidence entry Probability Fan Reading: Wide fan = uncertainty; narrow fan = high conviction AetherEdge Synergy: Pair with Liquidity Void Detector for liquidity × probability synergy Pivot Projection Use: Projection lines often act as dynamic S/R Avoid: Stand aside when all three probabilities cluster around 33% ⚠️ Important Notes Requires an initial accumulation period (at least forwardBars + 50 bars) KNN accuracy improves progressively until knnLookback is filled Neural net weights are not auto-trained; tuning per asset/timeframe is recommended Long forwardBars reduces accuracy; too short increases noise Optimal hybrid ratio varies with market regime Probability model relies on past patterns; accuracy may drop in unprecedented regimes 🚨 Disclaimer This indicator is a technical analysis tool provided for educational and research purposes only and does not constitute financial advice. KNN and neural-net-style probability models produce statistical forecasts based on historical data and do not guarantee future performance. All trading decisions are made at your own risk and should be accompanied by proper risk management.
อินดิเคเตอร์ Pine Script®
โดย AetherEdge
Gann Mass Pressure█ OVERVIEW The Gann Mass Pressure indicator projects a seasonal price forecast for the remainder of the calendar year. It averages historical closes from the same calendar date across multiple past decades to produce a composite trend line that extends forward from the current bar through December 31. The method was documented by Constance Brown in The 32nd Jewel: Gann Analysis, Part 2, Price and Time (Chapter VII, Section L), reproducing W.D. Gann's original six-term formula with lookback intervals of 10, 20, 30, 40, 60, and 80 years. █ HOW IT WORKS For each calendar date, the indicator: 1 — Identifies the month and day. 2 — Looks back to that same calendar date at each of the six configurable intervals (default: 10, 20, 30, 40, 60, and 80 years). 3 — Finds the closest matching trading day within a ±15-bar scan window to handle weekends, holidays, and calendar drift. 4 — Averages all available (non-na) closes into a single Mass Pressure value. On historical bars, this value is plotted as a colored line (gold when rising, blue when falling). On the last bar, the indicator generates a forward projection by computing Mass Pressure for every remaining weekday through December 31 and drawing it as a continuous line extending beyond the chart's current data. A label marks the final projected value at year-end. The info table in the top-right corner shows each lookback term's resolved value, the bar count required to reach it, and whether it is active, unavailable, or beyond Pine Script's history limit. A forecast row displays the number of projected data points. █ HOW TO USE The forward projection line is the primary output. It maps the dominant seasonal tendency for the rest of the year based on the composite behavior of the selected historical intervals. When the projection trends upward, historical precedent favors rising prices for that calendar period. When it trends downward, the seasonal composite points to weakness. Recommended timeframe: Weekly. On weekly charts, all six Gann lookback intervals (including the 60-year and 80-year terms) resolve within Pine Script's 10,000-bar history limit, giving you the complete formula as Gann intended. On daily charts, only the 10-year, 20-year, and 30-year terms will typically be available due to the bar limit. The indicator handles this gracefully and plots with whatever terms resolve, but fewer terms reduce the composite's reliability. Confluence with other timing methods: Brown notes that Mass Pressure maps seasonal trends under normal conditions and is not suited for precise timing. It is most powerful when used in confluence with independent timing methods (cycle analysis, planetary geometry, Gann time counts) to confirm or filter signals from those primary tools. Key inputs: • Lookback 1 through 6 : The six year intervals. Defaults match Gann's original formula (10, 20, 30, 40, 60, 80). Adjustable for experimentation. • Min valid terms to plot : The minimum number of non-na lookback values required before the indicator will plot. Default is 2. Increase to 3 or 4 for higher confidence from more contributing terms. • Smoothing : Optional SMA smoothing applied to the historical Mass Pressure line. Default is 1 (no smoothing). Increase to reduce noise on volatile instruments. • Forecast line color : Separate color for the forward projection (default: gold with slight transparency to distinguish it from the historical plot). • Colors and line width : Customizable rising/falling/flat colors and line thickness. █ LIMITATIONS Pine Script 10,000-bar history cap. Pine enforces a maximum of 10,000 bars for any history-referencing operator. At approximately 252 trading days per year on daily charts, this caps effective lookback depth at roughly 39 years. The 40-year term is borderline, and the 60-year and 80-year terms will return na on daily timeframes. Switching to weekly charts (52 bars/year) brings the 80-year lookback down to approximately 4,160 bars, well within the limit. Insufficient chart data. The indicator will not appear on charts where the symbol lacks enough historical price data to satisfy the minimum number of lookback terms. Newer instruments (ETFs, crypto, recent IPOs) may have less than 10 years of data, in which case no terms resolve and nothing plots. The background shades red when available terms fall below the configured minimum. The info table always shows exactly which terms are active and which are not. Calendar-date matching is approximate. The scan window of ±15 bars around the target offset matches the nearest available trading day when the exact calendar date falls on a weekend or holiday. In rare cases at the boundary of long market closures, the matched date could be slightly offset from the true anniversary. Forward projection uses weekday estimates. The forecast line generates dates for Monday through Friday via Zeller's congruence. It does not account for market-specific holidays (e.g., Thanksgiving, exchange closures), so the projected point count may slightly exceed the actual number of remaining trading days. Seasonal trend, not timing. As Brown notes, this indicator maps seasonal tendencies under normal conditions. It does not predict exact turning points. Divergences between Mass Pressure direction and actual price often occur around major non-seasonal events. The Time Factor and independent timing tools should always take precedence for entry/exit decisions. Brown also observes that for some instruments (Soybeans is cited), the indicator may display an inverse relationship to actual market trends. █ NOTES The formula and methodology are drawn directly from Constance Brown's The 32nd Jewel: Gann Analysis, Part 2, Price and Time (Chapter VII, Section L). Brown provides worked examples for DJIA and Cotton, documents the six default lookback intervals, and includes critical caveats about data sufficiency, seasonal-year offsets, and the distinction between seasonal trend indication and precise timing. The info table provides full transparency into the indicator's internal state. Red "OVER 10K" entries indicate that a lookback exceeds Pine's bar limit at the current timeframe. Red "n/a" entries indicate the chart does not have data going back that far. Green term counts confirm the indicator is computing with adequate data. The forecast row shows the number of forward-projected points through December 31. Background shading on historical bars provides an additional visual cue: a faint yellow tint indicates computation with fewer than all six terms, and a faint red tint indicates the term count has fallen below the configured minimum threshold. █ THANKS Constance Brown, for her meticulous documentation of Gann's methods in The 32nd Jewel . Her treatment of the Mass Pressure Chart, including its strengths, limitations, and the critical warning about data sufficiency, made this implementation possible.
อินดิเคเตอร์ Pine Script®
โดย BY_Tse
CTZ Est. Liquidation LevelsCTZ Est. Liquidation Levels — Multi-Exchange OI Liquidation Map Most liquidation indicators show you historical data or use volume as a rough proxy. This one uses live Open Interest delta from up to four exchanges simultaneously — Binance, Bybit, Bitget, and Deribit — to estimate where clusters of leveraged positions are currently sitting and at what price they would be force-liquidated. --- HOW IT WORKS When open interest spikes on a given bar, new leveraged positions have just been opened. The indicator records the price at which those positions were entered, then calculates the liquidation price for each configured leverage tier — 100x, 50x, 25x, 10x, and 5x. Those estimated liquidation prices are binned into price zones and accumulated over time. The more OI that flows into a particular price zone, the brighter and more prominent that zone becomes. Long liquidations — where over-leveraged longs would get stopped out — appear below current price. Short liquidations — where over-leveraged shorts would get squeezed — appear above current price. Both sides are displayed simultaneously so you can see which way the larger pool of trapped positions sits. Zones fade to a dotted outline when price trades through them, indicating the liquidity has been absorbed. This gives you a real-time picture of which levels are still live versus already swept. --- MULTI-EXCHANGE OI AGGREGATION The indicator pulls Open Interest from the .P_OI feed for each exchange using configurable weighting. Default weights reflect current market share — Binance 53%, Bybit 25.5%, Bitget 15.5%, Deribit 6%. All four can be toggled independently and the weights are fully adjustable. A spike detection engine filters the OI signal before building zones. Only bars where OI delta significantly exceeds the rolling average are used — configurable via three methods: Z-Score, EMA Z-Score, or Average Multiple. This prevents noise from creating false clusters. Flow attribution determines whether a spike is predominantly longs or shorts based on whether OI expanded while price was rising or falling. A configurable dispersion percentage splits a portion of flow to the opposite side to reflect the reality that both sides open positions on most moves. --- ZONE FILTER Zones are filtered by USD notional value. Only clusters above your minimum threshold are displayed, cutting the noise and keeping only meaningful liquidation concentrations. The Auto Timeframe Setting handles this automatically: Sub-daily charts (1H, 4H etc.) — local range mode ON, minimum $200K Daily and above (1D, 1W, 1M) — local range mode OFF, minimum $600K Both thresholds are fully adjustable. There is also a Top N filter if you want to display only the strongest zones per side regardless of USD value, and a percentage-of-max filter for additional control. Each visible zone displays its estimated USD notional value as a label so you can immediately assess the significance of each level. --- DASHBOARDS Exchange table (top right) — shows each venue with its validity status, market share, weight, and current OI delta in USD. Green for positive flow, red for negative. Stats panel — shows aggregate OI, aggregate dOI, spike threshold, active feeds, long bin count, short bin count, frozen total, and dominant exchange. Liquidity Pull panel (bottom left) — summarises which direction has the greater concentration of trapped positions, zone counts and percentages for each side, current pull ratio, active timeframe mode, local range status, and bin height. Heat scale (bottom right) — colour gradient showing the relative intensity range from minimum to maximum zone strength. --- SETTINGS REFERENCE Source Mode — OI, Volume, or Auto (tries OI then falls back to Volume) OI Quote Currency — USDT or USD Exchange toggles and weights — Binance, Bybit, Bitget, Deribit Spike Lookback — rolling window for OI normalisation (default 100) Sensitivity — controls spike threshold from aggressive (1) to conservative (20) Spike Method — ZScore, EMA ZScore, or Average Multiple Leverage tiers — five configurable leverage levels (default 100/50/25/10/5) Bin Scale — controls zone height in ticks. For BTC: 5000 = ~$50 zones, 50000 = ~$500 zones Extend Right — how many bars zones project to the right Max active bins per side — storage cap before oldest/weakest/farthest zones are evicted Auto Timeframe Settings — automatic local range and USD filter based on timeframe Manual Zone Filter — USD notional filter, percentage filter, Top N mode --- RECOMMENDED SETTINGS BY TIMEFRAME 1H — Bin Scale 5000, local range ON (auto), min $200K (auto) 4H — Bin Scale 5000, local range ON (auto), min $200K (auto) 1D — Bin Scale 50000, local range OFF (auto), min $600K (auto) 1W — Bin Scale 500000, local range OFF (auto), min $600K (auto) --- IMPORTANT NOTES This indicator estimates liquidation levels based on OI flow — it does not have access to individual position data from exchanges. The clusters shown represent statistically significant concentrations of leveraged exposure, not precise liquidation walls. Use alongside price structure, volume analysis, and trend context for highest accuracy. Works on any perpetual futures instrument where .P_OI data is available. Optimised for Bitcoin but functions on Ethereum and other major perpetuals. Not financial advice. Past liquidation zones do not guarantee future price reactions.
อินดิเคเตอร์ Pine Script®
โดย CryptoTradingZone
Pin Bar Indicator By Anupam AnandHere's what the indicator does and how to use it: Detection logic — a candle qualifies as a pin bar when: the primary wick ≥ 66% of the total range, the body ≤ 30%, and the opposite (nose) wick ≤ 25%. All three ratios are adjustable in Settings. Location quality scoring — every pin bar gets scored from −2 to +3: Good locations add +1 each: forming at a recent swing pivot, within a support/resistance zone, or after a pullback across the trend EMA. Bad locations subtract −1 each: inside a tight consolidation range, or forming against strong one-sided momentum candles. The score drives the star rating and label color (green for ★★★, orange for ★★☆/★☆☆, gray/hidden for weak). What plots on the chart: Triangle arrows below/above the candle body Star-rated labels (★★★ / ★★☆ / ★☆☆ / ⚠) Highlighted candle background in the signal colour A thin EMA line for pullback context
อินดิเคเตอร์ Pine Script®
โดย anupam_anand1001
1
CTZ Auto FibonacciCTZ Auto Fibonacci — Bidirectional Auto Fib Most Fibonacci tools make you draw the levels manually every time price makes a new swing. This one finds the anchors for you, draws instantly, and updates automatically whenever price sets a new extreme — so you always have current levels on the chart without touching a drawing tool. --- WHAT IT DOES The indicator scans for the highest high and lowest low within a user-defined lookback window, anchors the Fibonacci grid to those two points, and projects levels in three directions simultaneously: Retracements — the standard 0.236, 0.382, 0.5, 0.618, and 0.786 zones between the anchor high and anchor low. These are your pullback and re-entry levels during a trend. Upside extensions — 1.272, 1.414, 1.618, 2.0, 2.414, and 3.0 projected above the anchor high. These are bullish continuation targets when price breaks above the swing high and is pushing into new territory. Downside extensions — the same ratios projected below the anchor low. These are bearish continuation targets when price breaks the swing low and is pushing lower. All three groups can be toggled on or off independently, so you can show only what is relevant to the current trade idea. Trending long — hide the downside extensions. Looking for a short target — hide the upside extensions. Expecting a pullback into a trend — show retracements only. --- ANCHOR METHODS Two modes for finding the anchor points: Highest/Lowest in Range — scans back a fixed number of bars (default 100) and takes the absolute highest high and lowest low in that window. Simple and reliable. The lookback is fully adjustable so you can zoom in for a short-term swing or zoom out for a macro structure. Pivot Highs/Lows — uses confirmed structural pivot swing points. The pivot strength setting controls how many bars either side are required to confirm a pivot, giving you control over how significant the anchor points need to be. Both methods mark the anchor bars with small High and Low labels so you can see exactly what the grid is anchored to. --- EXTENSIONS — HOW THE MATH WORKS Standard Fibonacci extensions use the full range between the anchor high and low as the base measurement: 1.272 = anchor point + 27.2% of the range beyond it 1.414 = anchor point + 41.4% of the range beyond it 1.618 = anchor point + 61.8% of the range beyond it 2.0 = anchor point + 100% of the range beyond it 2.414 = anchor point + 141.4% of the range beyond it 3.0 = anchor point + 200% of the range beyond it Retracements draw as solid lines. Extensions draw as dashed lines to make them visually distinct at a glance. --- SETTINGS REFERENCE Anchor Method — Highest/Lowest in Range or Pivot Highs/Lows Lookback — how many bars back to search for the anchor high/low (Range method) Pivot Strength — bars required each side to confirm a pivot (Pivot method) Show Retracements — toggle all retracement levels on/off Show Upside Extensions — toggle all upside extension levels on/off Show Downside Extensions — toggle all downside extension levels on/off Individual level toggles — each level can be turned on/off independently Show Price Labels — displays the ratio and exact price on each line Show Anchor Markers — marks the anchor high and low bars on the chart Line Width — 1 to 3 Extend Lines Right — how many bars the lines project to the right --- RECOMMENDED USAGE Weekly / Daily — set lookback to 50–200 bars to capture major cycle swings. These levels act as macro support, resistance, and long-term targets. 4H / 1H — set lookback to 50–100 bars for intermediate swing structure. Use retracements to find pullback entries and upside extensions as profit targets. Pivot method works best on trending markets where swing structure is clear. Range method works best on ranging or choppy markets where you want the absolute extremes. --- Works on all instruments and timeframes. No repainting — all levels are calculated from confirmed historical bars at the current lookback setting.
อินดิเคเตอร์ Pine Script®
โดย CryptoTradingZone