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MASU+ Institutional: The Ultimate Trading Ecosystem)Stop Trading Retail. Start Trading Institutional. Welcome to MASU+ Institutional, a comprehensive algorithmic trading framework designed to emulate the logic of hedge funds and institutional market makers. This is not just a "buy/sell" indicator; it is a complete decision-making engine that combines Smart Money Concepts (SMC), Order Flow, and Multi-Timeframe Analysis into a single, automated strategy. The script is built to filter out market noise and trade only when high-probability conditions align across structure, volume, and momentum. Key Features 1. Smart Money Intelligence (SMC) Order Blocks & FVG: Automatically identifies institutional footprints. Liquidity Sweeps: Detects stop-hunts and manipulation points. Break of Structure (BOS): Confirms trend continuations with precision. Demand & Supply Zones: Dynamic plotting of buying and selling pressure zones with mitigation logic. 2. Advanced Order Flow CVD (Cumulative Volume Delta): Analyses buying vs. selling pressure. VWAP Bands: Trades based on institutional value areas. Volume Profile POC: Pinpoints the Point of Control for the current session. 3. Adaptive Risk Management Kelly Criterion Sizing: Dynamically adjusts position size based on win-rate probability. Volatility-Based Stops: SL and TP are calculated using ATR to adapt to market conditions. Auto-Trailing: Locks in profits as the trade moves in your favor. 4. Professional Dashboard A compact, real-time table displaying: MTF Trends: Status of 15m, 1H, and 4H trends. Confluence Score: A rating (1-5) of the signal strength. Market Regime: Identifies if the market is Trending, Ranging, or Volatile. Risk/Reward: Live R:R calculation for the current setup. How It Works The strategy uses a "Waterfall Logic" to enter trades: Macro Filter: Checks the correlation with major indices (SPX, NDX) to ensure we are trading with the global market. Trend Alignment: Confirms direction using Multi-Timeframe EMAs. Volume Confirmation: Requires a spike in volume and positive Order Flow (CVD). SMC Trigger: Enters on Liquidity Sweeps, FVG fills, or Order Block retests. Time Filter: Operates only during high-volume sessions (London/NY) to avoid consolidation chop. Best Practices Timeframe: Optimized for 15m and 1H. Assets: Works best on Indices (US30, NAS100, DAX), Crypto (BTC, ETH), and Major Forex Pairs. Settings: The default settings are tuned for a balance of frequency and accuracy. Use the "Time Filter" to avoid low-volatility sessions. Disclaimer: This strategy is a tool for analysis and automated execution logic. Past performance does not guarantee future results. Always backtest on your specific asset and broker before deploying real capital. 👇 Drop a BOOST if you want more Institutional Tools! 🚀
Estratégia Pine Script®
por Mark_Novak
14
ICT ToolkitICT Toolkit is a visual charting toolkit that combines multiple ICT-style reference levels into one indicator, with a focus on clean right-edge labeling and reduced chart clutter. Features - Daily reference levels: Daily High, Daily Low, and Daily 50% (Mid) - Optional previous day High/Low levels - Session / Killzone boxes (Asia, London, New York) - Multi-timeframe Swing High / Swing Low levels - Multi-timeframe Equal High / Equal Low levels - Optional FVG size labeling - Improved label readability (overlap handling and merging) Credits / Attributions (Open-Source Reuse) Parts of this script were inspired by / adapted from the following open-source TradingView scripts: Dynamic Customizable 50% Line & Daily High/Low + True Day Open: Swing High/Low Detector (RV5): ICT Killzones & Pivots (TFO): FVG Size reference: All reused logic has been modified and integrated into a single toolkit with additional features and improved label/overlap handling. Notes / Disclaimer This indicator is a visual toolkit and does not provide buy/sell signals or performance claims. Always validate session times, timezones, and levels for your specific market.
Indicador Pine Script®
por TC1979
Bob's Whale Hunter - V7 (Jorge's Algo)Trade like a whale, not the bait. The Whale Hunter V7 is a high-performance toolkit specifically engineered for traders following Smart Money Concepts (SMC) and Institutional Price Action. This indicator automates the identification of high-probability zones based on the AMD (Accumulation, Manipulation, Distribution) cycle. 🚀 Key Features: Institutional Liquidity Sweeps: Automatically detects liquidity grabs at key highs and lows. These are the exact spots where institutional "whales" enter the market by triggering retail stop losses. Dynamic Fair Value Gaps (FVG): Highlights market imbalances that act as price magnets. This allows you to time your entries during the "rebalance" with surgical precision. Multi-Timeframe Dashboard (HTF Matrix): A real-time panel showing the Macro bias (4H) versus the Entry trend (15m). Stay aligned with the higher-timeframe order flow at all times. Elite Market Structure: An institutional-grade trend filter that shifts color based on market dominance, helping you distinguish between a deep retracement and a true trend reversal. 🛠 How to Trade it (The Institutional Checklist): Macro Alignment: Check the Dashboard. If 4H is green, look for buy setups only. Never trade against the "Big Money" flow. Identify the Sweep: Wait for the triangle signal (Sweep). This confirms that liquidity has been cleared and the "Manipulation Phase" is likely complete. The Trigger (FVG): Once a Break of Structure (ChoCH) occurs after the sweep, look for entries within the highlighted FVG boxes that align with your OTE (Optimal Trade Entry) Fibonacci levels. Targeting: Aim for the opposing liquidity pools or the next institutional level identified by the script. "Trading is a game of probabilities. Follow the footprints left by the giants."
Indicador Pine Script®
por JorgeG255
EMA Rebound Strategy: Stochastics & RSI Confirmation日本語解説は英文の次 Description This indicator is a robust trend-following tool designed to capture high-probability "Buy the Dip" and "Sell the Rally" opportunities. It identifies precise entry points by combining long-term trend analysis with momentum oscillators. 🟢 How it Works (Long Setup) Trend Identification: Price must be trading above the EMA 200, signaling a dominant bullish trend. Mean Reversion/Pullback: Price approaches or touches the EMA 200 (within a customizable proximity percentage). Oversold Condition: The Stochastics oscillator enters the oversold zone (<20), indicating a temporary price exhaustion. Momentum Confirmation (Trigger): The RSI crosses back above the 50 level, confirming that bullish momentum has resumed. 🔴 How it Works (Short Setup) Trend Identification: Price must be trading below the EMA 200. Pullback: Price rallies back toward the EMA 200. Overbought Condition: Stochastics enters the overbought zone (>80). Momentum Confirmation (Trigger): RSI crosses below the 50 level, confirming the resumption of bearish momentum. ⚙️ Key Parameters EMA Length: Default is 200. Defines the "Backbone" of the trend. Proximity (%): Adjusts how close the price needs to get to the EMA to validate a "touch." Stochastics & RSI: Fully customizable periods and levels to match your preferred timeframe. Lookback Period: Sets the expiration for the "touch" and "oversold/bought" conditions to ensure the signal is timely. 💡 Best Use Cases Timeframes: 15m, 1h, and 4h are recommended. Assets: High-liquidity pairs like EUR/USD, USD/JPY, and Gold (XAU/USD). Tip: For best results, ensure the EMA 200 is clearly sloped in the direction of the trade. －－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－－ 解説 このインジケーターは、長期トレンドにおける「押し目買い」と「戻り売り」を的確に捉えるためのトレンドフォローツールです。EMA200をトレンドの基準（壁）とし、オシレーターで反発のタイミングを計ります。 🟢 買いサインの条件 環境認識: 価格が EMA200より上 で推移していること。 引きつけ: 価格がEMA200付近まで下落（接近・タッチ）すること。 調整確認: ストキャスティクス が売られ過ぎ水準（20以下）に到達。 反発確定: RSIが50を上抜ける 瞬間、トレンド回帰と判断しサインを表示します。 🔴 売りサインの条件 環境認識: 価格が EMA200より下 で推移していること。 引きつけ: 価格がEMA200付近まで上昇（接近・タッチ）すること。 調整確認: ストキャスティクス が買われ過ぎ水準（80以上）に到達。 反発確定: RSIが50を下抜ける 瞬間、トレンド回帰と判断しサインを表示します。 ⚙️ 主なパラメータ設定 EMAの期間: デフォルトは200。トレンドの強弱を測る基準です。 EMA接近許容範囲 (%): EMAにどこまで近づいたら有効とするか。通貨ペアのボラティリティに合わせて調整可能です。 サイン有効期限（本数）: EMAにタッチ後、何本以内にRSIが50を抜ける必要があるかを設定します。 💡 推奨される活用法 推奨時間足: 15分足、1時間足、4時間足。 推奨通貨ペア: ドル円、ユーロドル、ゴールドなど流動性の高い銘柄。 コツ: EMA200にしっかりとした「傾き」がある時にエントリーすることで、勝率を高めることができます。
Indicador Pine Script®
por mamachi-
Day/Month Returns Analysis [theUltimator5]This indicator calculates the average returns for day of the week, months of the year, and each Friday of the month, then gives a visualization of the average returns in green/red bars as well as the average percentage move. You can select from (3) options. 1) Day of the week. This shows the average returns for each day of the week calculated back as far as your chart history goes. For crypto, it calculates all 7 days of the week. If not crypto, it does Monday through Friday 2) Month of the year. This shows the average returns for each month. Self explanatory 3) Friday of the month. This is a niche setting that lets you see the average returns of each Friday of the month, to track if there is any OPEX related consistency. You can also set the start date for the indicator to start calculating from in the options. If there is a certain date that a symbol starts acting differently and you want to only calculate from that point forwards, you can. The visuals appear as a table which can be repositioned to whichever section of your screen you would like. This indicator works best on the daily timeframe since lower timeframes may not have enough bars back in history to calculate enough to make an average.
Indicador Pine Script®
por TheUltimator5
3
PDH & PDLDescription (Copy & Paste) Overview This is a lightweight, optimized indicator that displays the Previous Day High (PDH) and Previous Day Low (PDL) on intraday charts. These levels are critical reference points for day traders, acting as key liquidity pools where price often reacts. Whether you are trading Mean Reversion (fading the edges) or Momentum (breakouts), knowing exactly where yesterday's auction limits were is essential context. Key Features Historical Accuracy: Plots historical levels using step-line style, allowing you to backtest how price reacted to PDH/PDL in the past. Zero Clutter (V2 Optimization): Unlike standard indicators that spam labels on every bar, this version uses efficient var label logic. It maintains a single label instance that stays pinned to the current price action, keeping your chart clean. Multi-Timeframe Ready: Fetches Daily data correctly regardless of your intraday timeframe (1m, 5m, 15m, etc.). Fully Customizable: Toggle history lines or current labels on/off and adjust colors/width to fit your theme. How to Use Context: Use these levels to determine market sentiment. Opening above PDH suggests bullish imbalance; opening inside the range suggests balance/chop. Entry Triggers: Watch for "Rejection" (wicks) or "Acceptance" (strong closes) at these lines. Breakout: Price closes firmly outside the level with volume. Reversal: Price sweeps the level and immediately reclaims the range. Settings Show Historical Levels: Enable to see the levels for previous days (useful for backtesting). Show Current Labels: Enable to see the price tags on the hard right edge.
Indicador Pine Script®
por SealNg
Volatility & Probability by Hour/DayVolatility & Probability by Hour/Day Analyzes historical candle data to find statistically significant time-based patterns. Tracks green candle probability, volatility, and average returns broken down by hour (UTC), day of week, and their combinations. What It Shows: Hourly Table: P(Green), edge, volatility, and average return for each hour (00:00-23:00 UTC) Day of Week Table: Same metrics aggregated by day (Sun-Sat) Top Combinations: The 5 best bullish and 5 best bearish day+hour slots ranked by edge Key Metrics: P(Grn): Historical probability the candle closes green Edge: Deviation from 50% (how tradeable the bias is) Vol%: Average candle range as percentage of price N: Sample size Use Cases: Identify optimal entry windows with statistical edge Avoid low-edge, high-volatility periods (noise) Find specific day+hour combinations with compounding edges Time trades around recurring market patterns Notes: All times in UTC Current period highlighted with ► Best results on liquid assets with sufficient history Edges are historical and not guaranteed to persist
Indicador Pine Script®
por LEEFO
Mine Shaft + Drift + Ore Pocket Detector (Gap+Touch)Mine Shaft + Drift + Ore Pocket Detector (Gap+Touch) — Full Description (v1.6.1, Pine v6) *Experimental - *Test Phase* 1) What this indicator is intended to do This indicator attempts to algorithmically discover “mine shaft” price structure on a chart by: Collecting structural anchor points (gaps and optionally pivots), Generating candidate trend “rails” (centerline + parallel upper/lower borders) from pairs of anchors, Fitting an optimal channel width around each candidate centerline, Scoring candidates based on how well price action conforms to the channel (touches + containment), Selecting and rendering: the main shaft channel (primary), additional drifts (secondary shafts per direction), And then detecting Ore Pockets: time locations where multiple selected lines intersect (time confluence / intersection clustering). The conceptual model is: A shaft = a best-fit channel that price respects over time (the “main tunnel”). Drifts = alternate channels close in quality to the main shaft (secondary tunnels). Ore pockets = future/past time coordinates where multiple channels’ centerlines intersect densely (confluence in time, not necessarily in price). 2) What it is doing right now (current behavior) In its current form, the script does a bounded, performance-limited scan: It stores a limited number of anchor points in arrays. It only considers a bounded number of recent anchors per direction. It constructs candidate lines from anchor pairs and evaluates channel fitness using sampled bars. On the last bar, it selects top candidates per direction and draws: a “main” channel per mode (single best overall, or separate up/down), plus optional drift channels, plus ore pocket markers. It is producing meaningful channels and drifts, but it is currently more likely to lock onto a strong “local” shaft than the one macro shaft spanning the entire market structure. 3) Core mechanics (how the script finds shafts) 3.1 Anchor generation (what points it uses) Anchors are the “support points” used to build candidate shaft centerlines. Two anchor families are supported: A) Gap anchors (from your selected gap mode) These attempt to capture “displacement events” and their boundaries/mids. B) Pivot anchors (optional structural anchors) These use pivots to inject macro structure points that are not strictly gap-based. All anchors are stored as: anchorX: bar_index of anchor anchorY: price of anchor anchorD: direction flag (+1 for up, -1 for down) Anchors are capped by maxAnchors with FIFO trimming. 3.2 Candidate generation (how it produces centerlines) For each direction (+1 and -1): Collect “recent” anchors of that direction within lookbackBars (bounded to maxDirAnchors). For each pair of anchors (x1,y1) and (x2,y2) that satisfy: spacing within , slope sign consistent with direction, Construct the line equation: slope m and intercept b Fit a channel width w around that line (via width mode). Score it (touches + inside count minus width penalty). Keep the top K rails (K = driftCount+1 typically). 3.3 Scoring model (what “best” means right now) For a candidate centerline: At sampled bars (stride sampling), compute: channel top = y(x) + w channel bot = y(x) - w Evaluate: Inside: candle range fits within the channel ± tolerance Touches: high near top border, low near bottom border (within tolerance) Score formula: score = insideCount * insideWeight + touchCount * touchWeight - (w / ATR) * widthPenalty So: Higher inside and touch counts increase score Wider channels are penalized (in ATR units) to avoid “cheating” via enormous width 3.4 Width fitting (how the channel thickness is chosen) Width is either: Fit (scan widths): scans widths between a min width and a max deviation cap and selects the best scoring width. Fixed ATR Envelope: uses a fixed width derived from ATR (currently hard-coded to a 2.0 ATR envelope in your present draft). Fixed Max Deviation: width is max observed deviation from line in sampled window. This matters because “macro shaft” detection is strongly influenced by whether the width-fitting is allowed to expand enough to contain large historical moves, without being penalized into losing to a smaller local shaft. 3.5 Rendering (what gets drawn) For any selected rail, it draws: Upper border line (top rail) Lower border line (bottom rail) Optional centerline (main only) Optional fill between borders (main only) Label at current bar with touches and inside count Drifts render similarly but without main-only features (depending on flags). 3.6 Ore Pocket detection (time confluence) Ore pockets are not “price zones” directly. They are computed as follows: Collect selected centerlines (m,b) for: the main selected shaft(s), and all drift centerlines (both directions if present) For each pair of selected lines, compute intersection x-coordinate: x* = (b2 - b1) / (m1 - m2) Only keep intersections within: Cluster intersections by time proximity (clusterBars) Mark the strongest clusters (highest counts) as “Ore Pocket” vertical dotted lines with labels. Interpretation: A dense cluster indicates many selected rails converge around a similar time coordinate. It is a “time confluence” hypothesis point. 4) Full settings reference (what each setting is for) 01) Gap Anchors Gap Mode FVG (3-candle) Uses a classic 3-candle fair value gap pattern: Up gap if low > high Down gap if high < low Anchors are derived from the gap boundaries. Candle Gap (open-close) Gap based on open vs close of the same bar with a tick threshold. Candle Gap (open-prev close) Gap based on open vs close with a tick threshold. Gap Threshold (ticks) Only used for the candle gap modes. Controls the minimum gap size required to register an anchor. Anchor Price Boundary: anchors at one gap boundary (more “structural edge”) Mid: anchors at midpoint of the gap (more “center of displacement”) Include Pivot Anchors (structure) When enabled, adds pivots as additional anchors to stabilize macro detection. Pivot Length Pivot sensitivity (how many bars left/right define a pivot). Larger values = fewer, more structural pivots. 02) Channel Fit + Touch Scoring Lookback Bars The historical window used to: filter which anchors are considered “recent enough” evaluate channel fitness (sampled evaluation) Larger lookback tends to favor macro shafts, but also increases computational risk (mitigated by evalBars and stride). ATR Length ATR period used for tolerance and width penalty scaling. Tolerance (ATR mult) Defines how close price must be to a rail to count as “touch” and how strict the “inside channel” containment is. Higher tolerance = easier to score high on touch/inside. Min Border Touches (keep rail) Minimum number of border touches required before a candidate is even eligible. Score: Inside Weight Weight of inside count in score. Score: Border Touch Weight Weight of border touches in score. This is a strong driver of “shaft-like” behavior. Score: Width Penalty (in ATRs) Penalizes wide channels relative to ATR. Higher penalty biases toward narrow/local shafts. 03) Performance Controls Max Stored Anchors (global) Maximum anchor points kept in memory arrays. Too low can cause loss of macro structure; too high increases candidate noise. Max Anchors / Direction (scan) Hard cap on how many anchors are used in candidate generation per direction. Critical: this strongly influences whether macro shaft can be found, because if you only keep the most recent anchors, you lose the early-structure anchor points. Eval Bars (max) Maximum historical bars actually evaluated for scoring. Even if lookbackBars is large, evaluation is capped here. Eval Stride (sample every N bars) Sampling step for evaluation. Larger stride = faster but less accurate scoring. 04) Candidate Generation Min Anchor Spacing (bars) Minimum distance between the two anchors used to define a candidate line. Prevents micro-noise lines from being evaluated. Max Anchor Spacing (bars) Maximum distance between the two anchors used to define a candidate line. If this is too low, you cannot generate truly macro candidate lines. 05) Shaft + Drift Display Main Shaft Mode Best Overall (Single Shaft): chooses one best rail among Up/Down and draws it as main. Up Only: show only the best upward rail. Down Only: show only the best downward rail. Up + Down: show both main up rail and main down rail simultaneously. Show Ascending Shaft Toggles rendering for the “up” main shaft (when mode allows it). Show Descending Shaft Toggles rendering for the “down” main shaft (when mode allows it). Drifts per Direction Number of additional top-ranked rails to draw per direction (after the best one). Extend Lines Right: extend lines to the right only. Both: extend both left and right. Fill Main Shaft Channel Fill between upper and lower borders for main shaft. Main Shaft Fill Transparency Transparency level for main fill. Show Main Shaft Centerline Draw the dashed centerline for the main shaft. 06) Ore Pocket (Intersection-Time Confluence) Show Ore Pockets (Time Confluence) Enables ore pocket discovery and rendering. Intersection Window Forward (bars) How far into the future intersections are considered. Intersection Window Backward (bars) How far into the past intersections are considered. Cluster Radius (bars) How close in time intersections must be to merge into a cluster. Min Intersections per Cluster Minimum cluster count required before a pocket is shown. Max Pocket Markers Limit how many pocket clusters are drawn. 07) Visual Controls Show Gap Anchors Displays the gap anchor dots for debugging. Show Pivot Anchors Displays pivot anchor dots for debugging. 5) How to use it (practical workflow) Step A — Confirm anchor behavior Turn on Show Gap Anchors. Choose your Gap Mode. Verify you are seeing anchors where you expect (displacement boundaries). If anchors are sparse: Reduce gap threshold (ticks) for candle-gap modes Enable pivots to inject structure Increase lookbackBars and maxAnchors so early anchors are not dropped Step B — Get stable main shaft candidate discovery Enable Include Pivot Anchors with a medium pivotLen. Use Fit (scan widths) initially. Increase Max Anchors / Direction (scan) so you’re not only using recent anchors. Increase Max Anchor Spacing so macro pairs are eligible. If you keep getting only local shafts: That is usually because the candidate pool does not include enough old anchors, or the maxSpacing prevents long-span lines. Step C — Tune scoring so the “whole-structure” shaft wins If the script picks a small local channel instead of the macro channel: Increase insideWeight relative to touchWeight (macro channels tend to contain longer structure even with fewer perfect “touches”) Reduce widthPenalty, because macro channels may need to be wider to accommodate historical volatility Increase lookbackBars and evalBars to make “whole-structure fit” matter Step D — Drifts as secondary shafts Once main shaft is good: Increase Drifts per Direction Validate that drifts represent meaningful alternate sub-shafts rather than noisy duplicates. If drifts look too similar: This is expected if many candidates differ only slightly; future refinements should diversify drift selection (see “what still needs done”). Step E — Ore pockets interpretation Ore pockets indicate time confluence of multiple rails. Use them as: “Time windows to watch” Not as deterministic price levels Tune: clusterBars (cluster tightness) minClusterSize (signal strength) 6) What still needs done (explicit backlog) The macro “main mining shaft channel” spanning the entire market structure, and Smaller shafts/drifts nested inside the macro structure. To accomplish that, the current algorithm needs additional architecture. Concretely: A) True multi-scale / hierarchical discovery (primary missing feature) Right now: one pass, one lookback, one score objective. Still Needed: Macro pass: discover a primary shaft using a very long evaluation window and anchor set. Micro pass(es): discover drifts/secondary shafts using: residuals (distance from macro centerline), or segmented time windows (regime partitions), or anchor subsets constrained to local regions. This is the single biggest reason we are not consistently getting the full-structure shaft. B) Anchor retention strategy for macro detection Right now: anchors are FIFO capped and direction scanning uses “recent anchors only.” To reliably find 10-year shafts we need: an option to store/retain representative anchors across the entire history, not only the most recent ones. Examples of necessary improvements: “Stratified anchor sampling” across time (keep some old anchors even when maxAnchors is hit) “Macro anchor bank” (separate storage for pivots or major gaps) C) Candidate generation constraints must support macro lines If we want a shaft spanning the whole structure: maxSpacing must allow it the candidate pool must contain anchors far apart in time So the algorithm needs: better selection of anchor pairs for long-span candidates (e.g., include earliest/oldest anchors + newest anchors deliberately, not accidentally) D) Drift diversification Right now drifts are “next best by score,” which often yields near-duplicates. We want: “diverse” secondary shafts: enforce minimum angular difference, enforce minimum offset difference, or penalize candidates too similar to the already-selected shaft. E) Width fitting logic for macro channels Macro channels often require: either a higher width cap, or a different penalty profile. Current width penalty is simple and can bias against macro channels. Needed: width penalty that scales by timescale or by total evaluated bars, or separate macro/micro scoring. F) Ore pocket semantics enhancement (optional but aligned) Currently pockets are time intersections only. If you want “pocket zones,” improvements could include: projecting intersection price and drawing a zone box, clustering in (time, price) space instead of only time, adding “importance” weighting based on which lines intersect (macro line intersections weighted higher). 7) Known limitations (current version) Heavy compute only runs on last bar (good for performance), but means: changes in anchors/parameters can reselect rails abruptly Candidate set is bounded; macro shaft can be missed if not in pool Drift selection can be redundant Ore pockets are time clusters, not price clusters
Indicador Pine Script®
por Eyemaginative
Adaptive Elliott Wave: Forecast + Dashboard (V.2)Title: Adaptive Elliott Wave: Forecast + Dashboard Description: Overview The Adaptive Elliott Wave: Forecast + Dashboard is a technical analysis tool designed to visualize potential Elliott Wave structures using a dynamic, multi-factor approach. Unlike static wave scripts, this indicator adapts its projections based on real-time trend context (Weighted Moving Averages) and momentum shifts (RSI). It is built to help traders identify the most likely path—Impulse or Correction—based on current market conditions. How It Works The script uses a combination of pivot-point detection and trend filtering to project future wave paths. Pivot Logic: The indicator identifies significant Highs and Lows using a sensitivity setting. These pivots form the "anchors" for the Elliott Wave count. Adaptive Engine: The "Auto-Detect" mode analyzes the relationship between the 50/200 WMA (Trend) and RSI (Momentum). In a Bull Trend: If RSI is oversold, the script anticipates a bullish "Impulse" wave. If RSI is overbought, it prepares for a "Correction." In a Bear Trend: The logic reverses to project rallies or downward impulses. Projections: It calculates Fibonacci-based targets for waves 1-5 (Impulse) or A-B-C/W-X-Y (Correction) and renders them as "ghost lines" that move with the price. Macro Outlook: For long-term context, the script includes a Macro Projection feature that uses higher-period pivots to show the possible 1-year direction. Key Features Target Table: A real-time dashboard showing exact Fibonacci target prices and the percentage distance from the current price. Corrective Channels: Automatically draws channels for wave corrections to help identify potential breakout or breakdown zones. Bullish/Bearish Extensions: Shows immediate volatility-based extensions beyond the last confirmed pivot. RSI Signals: Visual markers on the chart indicate overbought/oversold conditions that feed into the adaptive logic. How to Use Identify the Phase: Use the "AI STATUS" in the dashboard to see if the script is currently projecting an Impulse (Trend move) or a Correction (Counter-trend). Confirm with WMA: Use the 50 (Blue) and 200 (Orange) WMAs to confirm the macro trend before following a projection. Monitor Fib Targets: Watch for price reactions at the projected labels. If price breaks a target significantly, the wave count may need to be re-evaluated (re-pivot). Customize Sensitivity: For scalping, lower the "Short-Term Sensitivity." For swing trading, increase it. Disclaimer This script is for educational purposes only. Elliott Wave Theory is subjective, and projections are mathematical estimates based on historical volatility. Past performance does not guarantee future results. Always use proper risk management. Settings Guide Forecast Mode: Choose between "Auto-Detect" (Dynamic) or manually force an Impulse/Correction count. Macro Sensitivity: Controls how far back the script looks to generate the purple 1-year projection. Link Correction to Extension: A unique feature that starts the forecast from a potential extension target rather than the current live price.
Indicador Pine Script®
por TheTankTrades
Elliott Wave: Pro Forecast + Dashboard (with RSI Divergence)Elliott Wave: Pro Forecast + Dashboard (with RSI Divergence) This indicator provides a dynamic, real-time projection of Elliott Wave structures, helping traders identify potential trend exhaustion and reversal targets. By combining historical pivot analysis with Fibonacci extensions, it forecasts both short-term "extensions" and long-term "macro" moves. 🚀 Key Features Automated Elliott Wave Projections: Automatically plots potential 5-wave impulse moves (bullish) and 3-wave corrective moves (ABC - bearish) based on current market volatility. RSI Divergence Integration (⚡): The script scans for discrepancies between price and momentum. If a reversal is projected while a Bullish or Bearish divergence exists, a lightning bolt icon appears, signaling a high-probability setup. Dual-Horizon Forecasting: Short-Term Extension: Projects the immediate continuation of the current trend. 1-Year Macro Projection: A "Big Picture" mode that uses high-sensitivity pivots to forecast long-term structural shifts. Dynamic Data Dashboard: An on-chart table calculates exact Fibonacci price targets and the percentage distance from the current price, allowing for precise risk/reward planning. Invalidation Logic: Clearly marks the "Invalidation Line." If price breaches this level, the current wave count is considered void. 🛠️ How to Read the Chart Historical Waves (Green/Teal): Shows the confirmed pivots that the script is using as a baseline. Extensions (Orange): The immediate predicted path if the current momentum continues. Reversals (Blue): The projected Elliott Wave path if the current pivot holds. Look for the ⚡ symbol near the Invalidation line; this indicates RSI Divergence, suggesting the reversal has strong momentum backing it. Macro Projection (Purple): Designed for swing traders and investors to see where the asset could be in a year based on larger cycle pivots. ⚙️ Settings & Customization Sensitivity: Adjust the "Short-Term" and "Macro" sensitivity to filter out market noise or capture smaller intraday cycles. Scenario Linking: You can choose to have the Reversal projection start after the Extension target is hit, or have them run independently. Visual Toggles: Enable/Disable the target table, Fibonacci grid levels, and chart labels to keep your workspace clean. Disclaimer: This indicator is a mathematical projection based on historical volatility and Elliott Wave rules. It is a tool for technical analysis and does not guarantee future results. Always use proper stop-loss management.
Indicador Pine Script®
por TheTankTrades
Daily Move Percentile + StdDevDaily Move Percentile + Standard Deviation Quantifies how unusual today's price move is relative to historical norms, combining percentile ranking with standard deviation analysis. Designed for volatile assets like biotech where contextualizing moves against typical volatility is essential. How it works: Calculates daily percentage change Ranks today's move against the historical distribution (percentile) Measures how many standard deviations from the mean (z-score) Displays average volatility so you can contextualize whether a move is normal for this specific stock Color coding: Teal: 95th+ percentile up move — rare upside Red: 95th+ percentile down move — rare downside Lime: 80th-95th percentile up move — notable upside Orange: 80th-95th percentile down move — notable downside Gray: Normal volatility — nothing unusual Information table (top right): Today's move (%) Percentile rank (how unusual) Standard deviations (z-score) Average volatility (typical daily move for this stock) 1 Std Dev (baseline volatility measure) Use cases: Identify statistically significant moves worth investigating Contextualize moves against stock-specific volatility (a -5% day means different things for different stocks) Spot potential mean-reversion setups after extreme moves Monitor portfolio names for unusual activity Recommended settings: 30-60 day lookback for volatile biotech 252 day lookback for stable, large-cap names
Indicador Pine Script®
por AlchemistInvestor
Impulse OTE Fibonacci & Trend Catcher V2------------IMPORTANT------------ Look at the first 3 options in the input settings. You can change these based on what your trading - crypto, NQ, Forex etc. There are tool tips with the recommended settings there as well. ------------What the trader is supposed to do------------ Wait for an UP or DOWN arrow (trend shift). Let the indicator lock an impulse and draw the fibs. When price pulls into OTE, it prints READY. When confirmation happens, it prints ENTRY. ------------Why it’s useful------------ It’s meant to stop you from: taking random fibs from random swings, trading weak/noisy moves, or entering too early without confirmation. Instead it forces a simple flow: Trend → Impulse → Pullback to OTE → Confirmed entry
Indicador Pine Script®
por Reanu_Keeves
1
5 Min FVG ORB by LybandzThis is a 5 minute ORB strategy. Essentially all it does is give buy signals if we broke above and got a bullish FVG and gives sell signals if we break down and get a bearish FVG. Its a little sloppy but it does give correct buy/sell signals. It also plots overnight levels. Ignore the SL/TP levels, those arent made correctly yet and I am too lazy to fix it. Just place the stop loss under the FVG candle and put the take profit at either 1:1.5 or 1:2 RR. Breakeven at internal highs/lows or after a volatile large move in your favored direction. Note - for the entries, make sure to enter after a signal is given on M1. Using M5 timeframe will give different (but similar) results. Put your stop under the M1 FVG and go breakeven at 1:1 RR. Take a partial at 1:1.5 and hold the rest to whatever you want. Enjoy :)
Indicador Pine Script®
por lybandz85
2
Adaptive Nadaraya-Watson (Non Repainting) [Metrify]To understand this implementation of the Nadaraya-Watson estimator, we have to look at the core equation governing non-parametric regression. This script aren't trying to average prices; we are trying to find the probability density of where price should be relative to its recent history. 1. The Kernel Physics (Bandwidth Modulation) In standard kernel regression, you have a bandwidth parameter (h). This controls the "smoothness" of the curve. If h is too low, the curve jitters with every tick of noise. If h is too high, it acts like a sluggish SMA. A static h fails because market volatility is dynamic. When the market explodes (high volatility), a tight bandwidth generates false signals. When the market sleeps, a wide bandwidth misses the micro-trends. It try solving this by making h a function of the Asset's volatility ratio: heff​=h×max(0.5,min(SMA(ATR20​,100)ATR20​​,2.0)) If the current ATR(20) is double the long-term average (100), the bandwidth doubles. This forces the estimator to "zoom out" during chaos, effectively ignoring noise that would otherwise look like a reversal. vol_ratio = use_vol ? vol_raw / (vol_base == 0 ? 1 : vol_base) : 1.0 vol_mod = math.max(0.5, math.min(vol_ratio, 2.0)) h_eff = h_val * vol_mod 2. The Gaussian Loop (Endpoint Estimation) Standard Nadaraya-Watson scripts repaint because they calculate the regression over a full window centered on the bar. To make this usable for live trading, we must calculate the Endpoint Estimate. We iterate backward from the current bar (i=0) to the lookback limit. For every historical price Xi​, we calculate a weight wi​ based on how far away it is in time (distance). The weight is derived from the Gaussian Kernel function: wi​=exp(−2heff2​i2​) Price data closer to the current bar (i=0) gets a weight near 1.0. Data further away (i=50) decays exponentially toward 0. for i = 0 to lookback by 1 float dist = float(i) float w = math.exp(-math.pow(dist, 2) / (2 * math.pow(h_eff, 2))) num := num + w * src den := den + w 3. Statistical Deviation (MAE vs. StDev) Most Bollinger Band-style indicators use Standard Deviation (Root Mean Square). The problem with StDev is that it squares the errors, which heavily penalizes large outliers. In crypto or volatile forex pairs, one wick can blow out the bands for 20 bars. This one use Mean Absolute Error (MAE) instead. MAE=N1​∑∣Price−y^​∣ MAE is linear. It measures the average distance price strays from the kernel estimate without squaring the penalty. This creates "tighter" bands that adhere closer to price action during normal trend behavior but don't expand ridiculously during a flash crash. Pine Script float error = math.abs(src - y_hat) float mae = ta.sma(error, lookback) We project two sets of bands: Inner Band (Balanced): The "Noise Zone". Price inside here is considered random walk. Outer Band (Precision): The "Exhaustion Zone". Price reaching here is statistically unlikely (2.8x MAE). Input & Visual Summary Kernel Physics: h_val: The base smoothness. Lower (e.g., 6) = faster, noisier. Higher (e.g., 10) = slower, smoother. use_vol: Keep this TRUE. It prevents the bands from being too tight during news events. Envelope Statistics: mult_in / mult_out: These are your risk settings. 1.5/2.8 is a standard deviation-like setting suited for MAE.
Indicador Pine Script®
por Metrify
SFP Trend & VWAP Liquidity Pro [Zofesu]🎯 SFP Trend & VWAP Liquidity Pro Master the Flow with Institutional Precision. It was primarily built on Nasdaq, sometimes works on Crypto and Commodities, mostly on Indices. Suitable for periods when the market is going sideways. Requires longer setup. This indicator is a high-performance trading tool designed to identify Swing Failure Patterns (SFP) while maintaining strict alignment with market momentum. By combining Dynamic Liquidity Zones with a Dual-Filter Trend Engine , it ensures you only trade the most high-probability sweeps in the direction of institutional money. 🧠 The Philosophy Trading liquidity sweeps (SFP) without a trend filter is like catching falling knives. This tool solves that by requiring Confluence . It identifies where retail stop-losses are being hunted and confirms if the major trend (VWAP/MA) is ready to defend that level. 🛠️ Key Features & Functionality ⚡ Smart SFP Detection: Automatically tracks historical Swing Highs and Lows to detect "fakeouts" where price sweeps liquidity and closes back within the range. 🛡️ Dual-Filter Trend Engine: Two fully customizable filters (EMA, SMA, HMA, or VWAP). You can use them to define a "Golden Zone" for entries. ⚓ Professional VWAP Anchoring: Choose how your volume-weighted price resets—Session, Week, Month, or Year. This allows you to track institutional value from intraday to long-term swing perspectives. 📊 Dynamic Liquidity Lines: Real-time visual tracking of the most recent "Upper" and "Lower" liquidity levels. ⚙️ Customizable Modes The Institutional Fort: Use two slow MAs (e.g., 2000 & 5000) for maximum safety. Only take SFPs that align with the long-term macro trend. The Volume Specialist: Combine one MA with a Weekly/Monthly VWAP. This aligns price action with pure volume-weighted value. The Pure Aggressor: Turn off MA filters and use only Session VWAP for high-frequency scalping and rapid liquidity plays. 🚀 How to Trade with STVL Pro Long Signal (BULL SFP): Price sweeps below a Swing Low but closes above it + Price is trending above your active Filters (A & B). Short Signal (BEAR SFP): Price sweeps above a Swing High but closes below it + Price is trending below your active Filters (A & B). You can preset filter A to EMA 2000 You can preset filter B to HMA 5000. If the price is approaching the green lookback, just switch filter B to VWAP, you don't have to change the numbers. VWAP automatically uses the "Session" setting. So you will have EMA as support on the chart and VWAP will search for SFP. If HMA is closer to the red lookback zone, switch filter A to VWAP, it will search for SFP for short. SFP label may not always appear, it is very strict. ⚠️ Disclaimer Past performance does not guarantee future results. Always use proper risk management. Designed for disciplined traders who value quality over quantity.
Indicador Pine Script®
por Zofesu