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Multi-Timeframe Momentum [EXCAVO]Five-Timeframe EMA and RSI Alignment with Confluence Detection The Multi-Timeframe Momentum reads EMA position and RSI level across five user-configurable timeframes simultaneously, assigning a BULL, NEUT, or BEAR bias to each. When the required number of timeframes are fully aligned in the same direction, a confluence condition is active: candles are colored and a labeled marker appears at the bar where alignment begins. A compact dashboard displays each timeframe's conditions, alignment counts, and a composite momentum score. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator to the price chart. The dashboard appears in the corner and candles begin coloring as soon as confluence conditions are met. Step 2 → Read the dashboard. Each row shows one timeframe: TF label, EMA direction, RSI value, and BIAS (BULL / NEUT / BEAR). When the alignment threshold is reached, the Bull Align or Bear Align row highlights. The Score row shows the composite reading from -10 to +10. Step 3 → A labeled marker below a bar marks the start of bull confluence - the first bar where Min Confluence timeframes aligned bullish on close. The label shows the alignment count (e.g. 4/5 or 5/5). A marker above the bar marks the start of bear confluence. Candles remain colored for the entire duration that confluence is active. Step 4 → Adjust Min Confluence (default 4). At 5, all five timeframes must agree. At 3, partial alignment is sufficient and conditions become more frequent. Step 5 → Set up confluence alerts to receive notifications on bar close. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ EMA Position For each timeframe, the indicator fetches the previous closed bar's EMA(length) and close price using request.security() with a offset and barmerge.lookahead_on. EMA direction is bullish when close is above the EMA, bearish when close is below. The offset and confirmed-bar gating ensure values do not change after the bar closes. ◆ RSI Level RSI(length) is computed on the same confirmed closed bar for each timeframe. RSI above 50 is treated as bullish momentum; RSI below 50 is bearish. The 50 level is used as the neutral boundary because it indicates whether average gains exceed average losses over the lookback period. ◆ Bias Score Each timeframe receives a score based on the combination of EMA and RSI readings: BULL (+2) - close above EMA and RSI above 50 (both conditions bullish) NEUT (0) - close above EMA but RSI below 50, or vice versa (conditions conflict) BEAR (-2) - close below EMA and RSI below 50 (both conditions bearish) A score of 0 occurs when EMA and RSI disagree, indicating an ambiguous condition on that timeframe. ◆ Composite Score The sum of all five timeframe scores produces a composite reading from -10 to +10. A score of +10 means every timeframe has both EMA and RSI bullish simultaneously. A score of 0 indicates a balanced or mixed market across all timeframes. The score is visible in the dashboard and included in JSON alerts. ◆ Confluence Detection Bull confluence counts how many of the five timeframes have a BULL score (+2). Bear confluence counts BEAR scores (-2). When either count reaches or exceeds the Min Confluence threshold, the condition is active. A confluence marker appears on the first bar where the count hits the threshold on a confirmed close. Candles remain colored for every bar that the confluence condition stays active. ◆ Non-Repainting All timeframe data is sourced via request.security() with expression and barmerge.lookahead_on. The offset reads the last fully closed bar on each timeframe, not the forming bar. Confluence markers are drawn only after barstate.isconfirmed, so no marker appears until the bar closes. No value changes after a bar is confirmed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Dual Filter per Timeframe Unlike most multi-timeframe panels that display raw RSI values or a single trend condition, this indicator requires both EMA position and RSI direction to agree before assigning a bullish or bearish bias. Using two independent filters produces three distinct states per timeframe rather than two. The NEUT state explicitly captures the case where trend and momentum disagree, making ambiguity visible in the dashboard rather than forcing unclear conditions into bull or bear. ◆ Composite Momentum Score Beyond counting aligned timeframes, the indicator computes a composite score that weights each timeframe's full EMA+RSI agreement. A reading of +8 distinguishes a strong four-timeframe alignment where both filters agree from a weaker condition where only one filter is bullish on each timeframe. Most multi-timeframe indicators show binary per-row state; the score aggregates across the full five-timeframe stack. ◆ Active Confluence Duration The labeled marker at the start of a confluence period is paired with candle coloring that persists for the entire duration confluence remains active. This makes it immediately visible how long the current alignment has been in effect, not just when it began. ◆ Adjustable Confluence Threshold The Min Confluence input directly controls detection sensitivity. At 5, only full agreement across all five timeframes triggers a condition. At 3, partial alignment is sufficient. The threshold is explicit and adjustable rather than fixed in code. ◆ Non-Repainting Design Each timeframe reads the previous confirmed bar's data. No value changes after the bar closes, and no marker is drawn until barstate.isconfirmed is true. Bar coloring reflects the current live state, but confluence markers are final once drawn. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Compact panel showing current conditions across all five timeframes: TF - timeframe label (1m, 5m, 1H, 4H, 1D, etc.) EMA - direction marker; blue if close is above EMA, red if below RSI - current RSI value; blue when above 50, red when below BIAS - BULL (both bullish), NEUT (mixed), or BEAR (both bearish) Bull Align - count of timeframes with BULL bias; row highlights blue when threshold met Bear Align - count of timeframes with BEAR bias; row highlights red when threshold met Score - composite momentum reading from -10 to +10 across all five timeframes Legend table (bottom left) explains confluence markers, bar coloring, and BIAS labels. Both panels toggle in Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Timeframes TF 1 - TF 5 - five configurable timeframes (defaults: 5m, 15m, 1H, 4H, D) Engine EMA Length - 20 bars (period for EMA bias calculation) RSI Length - 14 bars (period for RSI calculation) Signals Min Confluence - 4 (minimum aligned timeframes to activate a confluence condition) Visualization Bull Color - default blue Bear Color - default red Bar Color - ON (colors candles blue during bull confluence, red during bear confluence) Background Highlight - OFF (subtle tint when confluence is active) Alerts JSON Alerts - OFF (enable for bot integration) Dashboard Dashboard Position - Top Right Show Dashboard - ON Show Legend - ON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS Bull Confluence - Min Confluence timeframes first aligned bullish on bar close Bear Confluence - Min Confluence timeframes first aligned bearish on bar close Confluence Signal - any confluence condition detected on bar close ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
Indicador Pine Script®
por EXCAVO
HTF Candles [EXCAVO]Higher Timeframe Candles in a Panel to the Right of the Chart The HTF Candles indicator renders higher timeframe candles in a dedicated panel to the right of all chart data. Each completed HTF candle is drawn as a solid semi-transparent box (body) with color-matched wick lines. The currently forming candle uses a dashed outline and updates in real time. Nothing is drawn when the chart timeframe is equal to or higher than the selected HTF. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator on a lower timeframe chart (e.g., 5m or 15m). The HTF panel appears to the right of all candles. Step 2 → Default HTF is 1H. Change it in settings to match the context you trade (4H, D, etc.). Step 3 → Solid boxes are completed HTF candles. Blue = bullish, red = bearish. Step 4 → The rightmost dashed box is the currently forming HTF candle - it updates live on every bar close. Step 5 → Set alerts for HTF Bullish or Bearish Candle Close to be notified when the HTF period ends. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ HTF OHLC via Built-In Resampling The indicator uses request.security() with lookahead_off to fetch the current HTF candle's OHLC on every bar: = request.security(ticker, htf, ) Without lookahead, these values reflect only confirmed data up to the current bar - no future leaking. ◆ Candle Completion Detection A new HTF candle is detected using ta.change(time(htf_tf)). When the time bucket changes, the previous candle is complete. At that moment: htf_o , htf_h , htf_l , htf_c = OHLC of the completed candle These are pushed to history arrays (up to History Count entries), and the oldest entry is trimmed when the limit is reached. ◆ Panel Positioning All candles are drawn to the right of the last chart bar: x1 = bar_index + right_margin + i x (candle_width + gap) x2 = x1 + candle_width Positions are recalculated on every barstate.islast update. Previous drawing objects are deleted and rebuilt each bar so the panel always aligns with the current last bar as new data arrives. ◆ Completed Candle Rendering Each completed candle is drawn as: - Body: box from max(open, close) to min(open, close) - Upper wick: line from high to body top (only if high > body top) - Lower wick: line from body bottom to low (only if low < body bottom) ◆ Current Candle (Dashed) The forming candle uses the same box for fill but replaces the solid border with four dashed lines (top, bottom, left, right edges) and dashed wick lines. The body color reflects the live direction - bullish (blue) if close >= open, bearish (red) otherwise. ◆ Timeframe Label Pinning The HTF label above the panel is anchored to the highest candle in the HTF panel (not the chart's overall high). This keeps the label stable above the panel as price moves on the underlying chart. ◆ Timeframe Guard The indicator checks timeframe.in_seconds() < timeframe.in_seconds(htf). If the chart timeframe is equal to or higher than the HTF, no panel is drawn. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Panel to the Right - No Overlap HTF candles are positioned past the last chart bar so they never cover price action. The panel shifts automatically as new bars arrive. ◆ Dashed Forming Candle The current unfinished HTF candle is visually distinct (dashed outline) so it is never confused with confirmed history. ◆ Stable Timeframe Label The HTF label is pinned to the highest candle inside the panel itself rather than the chart's overall high. The label position stays consistent relative to the HTF panel even when underlying chart prices spike outside the panel range. ◆ Non-Repainting OHLC request.security() with lookahead_off ensures that completed candle values are final before they are committed to history. No retrospective changes occur to completed boxes. ◆ Timeframe Guard The indicator automatically disables itself when the chart timeframe is greater than or equal to the selected HTF — no panel is drawn, preventing meaningless output. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ LEGEND Legend table (bottom left) explains the visual elements: ▮ (blue) - Bullish completed HTF candle (solid outline) ▮ (red) - Bearish completed HTF candle (solid outline) ┅ (blue) - Currently forming HTF candle (dashed outline) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS HTF Settings HTF Timeframe - 60 (1H by default) History Count - 5 (completed HTF candles to keep visible) Show Current Candle - ON (show the forming candle with dashed outline) Visualization Bullish Color - blue (customizable) Bearish Color - red (customizable) Candle Width (bars) - 5 (width of each candle box) Gap Between Candles - 2 (spacing between boxes) Right Margin (bars) - 10 (distance from last chart bar to panel) Dashboard Show Legend - ON Alert Settings Allow Repainting - OFF JSON Alerts - OFF ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS HTF Bullish Candle Close - HTF candle closed bullish (close >= open) HTF Bearish Candle Close - HTF candle closed bearish (close < open) HTF Candle Close - any HTF candle closed JSON payloads include direction, ticker, price, timeframe, htf, and indicator tag. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
Indicador Pine Script®
por EXCAVO
Adaptive Volatility Stop MTFAdaptive Volatility Stop MTF (AVS MTF) Adaptive Volatility Stop MTF (AVS MTF) is a multi-timeframe volatility stop indicator designed to analyze trend structure and market conditions using an adaptive approach based on the Kaufman Efficiency Ratio (ER). The indicator dynamically adjusts its internal parameters in response to changing market conditions. When markets are trending, the system tightens its volatility stop. During choppy or ranging conditions, it expands the stop to reduce noise and false signals. The system evaluates four synchronized timeframe layers: Chart Timeframe → Base reference and band structure 3× Timeframe → Short-term directional signals 5× Timeframe → Intermediate trend signals 15× Timeframe → Higher timeframe directional bias Each timeframe is calculated independently to maintain consistency and avoid cross-timeframe distortion. 🔹 Core Features Adaptive volatility stop based on Efficiency Ratio (ER) Multi-timeframe structure with independent calculations Dynamic ATR period and multiplier adjustment Volatility stop bands showing inter-timeframe structure Bias score (-10 to +10) representing directional alignment Convergence metric to assess multi-timeframe agreement Pullback and trend continuation signal detection Optional filters (chop filter, higher timeframe bias lock, volume filter) On-chart dashboard for real-time system state 🔹 Signal Types Volatility Stop Flip (▲ / ▼) Indicates a change in directional state for a timeframe Pullback Signals (●) Highlights potential continuation entries within an existing trend All-Timeframe Alignment (+ / Cross) Indicates alignment across higher timeframes 🔹 How to Use Use higher timeframe direction (15×) to understand overall bias Use 5× timeframe signals for trend continuation Use 3× timeframe for short-term entries Stronger signals typically occur when multiple timeframes align Avoid signals during low-conviction or choppy conditions This tool is intended to assist with market structure analysis and should be used alongside other forms of analysis. 🔹 Notes Multi-timeframe calculations use request.security() and may be subject to TradingView plan limits Adaptive behavior depends on market conditions and may vary across assets Default settings are designed for general use but can be adjusted 🔹 Disclaimer This script is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice. Trading involves risk, and past performance is not indicative of future results. The author is not responsible for any financial decisions made using this tool. Users should conduct their own analysis and apply appropriate risk management.
Indicador Pine Script®
por Market_Logic_India
Luxy BOSS MODE - Support & ResistanceBOSS MODE S/R is a comprehensive Support & Resistance system that detects, scores, and learns from every zone reaction — then automatically generates trade plans with entry, stop, target, and position size. Unlike traditional S/R indicators that simply draw lines, BOSS MODE combines 6 detection engines , an adaptive scoring algorithm , a real-time momentum classifier powered by the Luxy Energy Index, and a Trade Plan Generator that calculates exact risk parameters based on your account. ── WHAT MAKES IT DIFFERENT ── 1. Adaptive Weight Scoring Every zone is scored 0-100 based on 7 factors: volume at touch, higher-timeframe origin, confluence with other zones, freshness, touch count, regime alignment, and historical performance. After 20+ observed zone outcomes (first bounce or first break per zone), the system adjusts its scoring weights based on which factors correlated with bounces vs breaks on that specific chart and asset. 2. LEI-Powered Momentum Classifier Uses the Luxy Energy Index (Extension + Velocity + Volume exhaustion model) to classify each approaching zone as likely BOUNCE or BREAK . LEI ≥ 70 = exhausted move arriving at zone = bounce expected. LEI ≤ 30 = energized move = break risk. 3. Trade Plan Generator For qualifying setups (Grade A/B zone, regime-aligned, R:R above your minimum), the indicator auto-calculates: Entry — just beyond zone boundary Stop Loss — opposite side of zone + ATR buffer Target — nearest zone in trade direction Position Size — based on your account size and risk % R:R ratio — only shows when above your minimum 4. Per-Zone Intelligence Every zone tracks its own history: how many times it bounced vs broke, average bounce distance in ATR units, and hold rate. Labels show this inline: ⬆ SUPPORT 📐 82 5/7 +0.4ᴬ = score 82, held 5 of 7 tests, avg distance from zone mid at touch: 0.4 ATR. ── 6 DETECTION ENGINES ── 📐 Swing Pivots — Classical swing highs/lows on current, Daily, and Weekly timeframes 🧱 Order Blocks — Last candle before a strong impulsive move, confirmed by volume 📊 Volume POC — Highest-volume price cluster over lookback period 💨 Fair Value Gaps — 3-candle imbalances where price left unfilled ranges 💧 Liquidity Pools — Equal high/low clusters where stops accumulate ⚓ Anchored VWAP — Auto-anchors on gap+volume events (earnings, catalysts) All 6 sources feed into the same unified zone object, allowing true confluence scoring across methodologies. ── REGIME-AWARE SCORING ── The market regime (STRONG_BULL / WEAK_BULL / RANGE / WEAK_BEAR / STRONG_BEAR / SQUEEZE) drives the scoring bias. In a bullish regime, support zones receive a significant score bonus while resistance zones score lower — reflecting the statistical reality that zones aligned with the trend hold more reliably. Regime is calculated from ADX + Bollinger Band Width + EMA slope, giving 5 states plus a Squeeze override when volatility compresses to the bottom 10% of the last 100 bars. ── VISUAL SYSTEM ── Zones are rendered with a 4-layer heat-map system: Atmospheric halo — fades beyond zone boundaries, scales with score Main fill — neon color: cyan family for support, red/orange for resistance, intensity proportional to score Hot core strip — brighter inner band at zone midpoint Entry line — solid bright stripe at the price-contact edge (top for support, bottom for resistance) Grade-A pulse ring — glowing outline when a high-conviction zone is within 1.5 ATR of price Score bar — vertical progress bar to the right of each zone, height = score 0-100 Simple View : A separate layer draws just two clear boxes — nearest SUPPORT (green) and nearest RESISTANCE (red) — with text centered inside. Designed for traders who want instant visual clarity without analyzing all zones. ── TRADE PLAN GENERATOR ── Configure in the 💰 Trade Plan settings group: Account Size ($) — your total trading capital Risk per Trade (%) — standard is 1.0% per trade Min R:R to Show — only displays setups where the calculated reward exceeds this multiple of risk When a qualifying setup is found, three dashed lines appear on the chart (blue = entry, red = stop, green = target) with a summary label showing direction, prices, share count, and R:R ratio. The Dashboard shows it in the 💰 Active Setup row. An alert fires with the full trade plan. Important: The Trade Plan Generator identifies setups based on zone proximity and regime alignment. All trade decisions remain entirely the responsibility of the user. Past zone reactions do not guarantee future performance. Always apply your own analysis and risk management. ── DASHBOARD (14 rows) ── The information panel shows in real-time: Market Regime with color coding Asset Class / Session (PRE/RTH/AH for stocks) Active zones breakdown (0A/1B/3C format) Nearest Resistance price, grade, ATR distance Nearest Support price, grade, ATR distance ATR% Rank (volatility context) Active Warning (8 types, color-coded by severity) Anchored VWAP value and anchor reason Squeeze detector Zone Hit Rate (historical bounce %) Active Detection Sources Scenario suggestion Adaptive Weights status Active Trade Plan (Entry / Stop / Target / Shares / R:R) Every cell has a detailed tooltip explaining what the value means and how to use it. ── MULTI-ASSET SUPPORT ── The asset engine auto-detects chart type and adjusts accordingly: Stocks — ATR-based zones, session-aware (PRE/RTH/AH) Stocks under $1 — percent-based zone widths (ATR is unreliable for extreme low-price securities) Crypto — 24/7, percent bands, no session breaks Forex — pip-based zone widths Indices — volume-agnostic fallback Futures — rollover-aware ── SETTINGS OVERVIEW ── 🎯 Trading Mode — Scalp / Intraday / Swing (affects zone widths and sensitivity) 🧭 Regime Classifier — ADX, BB, and EMA periods 🎯 Zone Detection — Toggle each of the 6 engines independently 📐 Swing Pivots — Left/right lookback bars and zone width 🧱 Order Blocks — Lookback period, minimum move %, volume threshold 📊 Volume POC — Lookback bars and histogram bins 💨 Fair Value Gaps — Minimum gap size % 💧 Liquidity Pools — Lookback and touch tolerance % ⚓ Anchored VWAP — Auto-anchor thresholds and manual catalyst date ⚖️ Scoring — Individual weight controls for all 7 scoring factors 🌍 Asset-Class Adaptation — Override or force Sub-$5 mode 🚨 Warnings — Toggle each of 8 warning types with ATR distance control 🎨 Visual Settings — Top-N zones, adaptive hide, transparency, Simple View toggle 📊 Dashboard — Position, size, show/hide 💰 Trade Plan — Account size, risk %, minimum R:R 🔔 Alerts — Standard or structured JSON for webhook automation ── ALERTS ── 8 alert types: Any Warning (catch-all) Sweep Imminent Regime Shift near Grade-A zone Trap Suspected (low-volume false breakout) Zone Approach Squeeze Detected Trade Plan — LONG Setup Trade Plan — SHORT Setup Enable Structured JSON Alerts to receive webhook-ready payloads with full zone data, regime, warning type, and trade plan details. ── EXTERNAL LIBRARY ── This script imports Luxy Energy Index (LEI) by OrenLuxy for the momentum classifier. LEI measures move exhaustion using Extension from VWAP, Velocity (5-bar rate of change), and Volume as a modifier. ── IMPORTANT NOTES ── This indicator is for educational and analytical purposes only . It does not constitute financial advice. Past zone performance (hit rate, average bounce) does not guarantee future results. The Trade Plan Generator calculates position sizes mathematically based on user inputs — always verify sizing with your broker before placing orders. Adaptive weights require 20+ observed bounce/break events to activate. On new charts, base weights are used. The LEI library requires separate import — the indicator will prompt if not accessible. ── CREDITS ── Luxy Energy Index (LEI) — OrenLuxy. Exhaustion methodology drawing on academic research by Campbell-Grossman-Wang (1993) on volume-return relationships, ATR normalization by J. Welles Wilder Jr., and standard VWAP methodology. S/R concepts inspired by VSA (Volume Spread Analysis), SMC (Smart Money Concepts), and classical pivot point theory. Past performance does not predict future results. This tool is for informational purposes only and does not constitute investment advice. Trading involves substantial risk of loss.
Indicador Pine Script®
por orenluxy
4
Market Bias Dashboard (MBD) [SharpStrat]Market Bias Dashboard - MBD Trading without context is like driving with a blindfold on. You see a bullish signal. You enter. Price reverses immediately. Why? Probably because the signal was real but the context was wrong. You were probably buying at the top of a range into a fading trend against a higher timeframe that was screaming bearish. The signal didn't lie to you. You just didn't have the full picture. MBD gives you the full picture. It's a context dashboard that sits on your chart and answers the most important question in trading before you even think about entering: What is this market actually doing right now? Not a buy signal. Not a sell signal. Just pure honest market context, measured four different ways, on two timeframes at once, updated every single bar. The reason it uses four separate components rather than one is deliberate. Any single measurement of the market is incomplete. Structure alone doesn't tell you if the trend has momentum behind it or if it's running out of steam. Momentum alone doesn't tell you where price sits in the bigger range. Volatility alone doesn't tell you the direction. Each component fills in a blind spot that the others have, and together they give you a picture that none of them could give alone. How it was built — the thinking behind it Most context indicators fail because they either use one measurement or they combine things in a way that makes the output a black box. MBD was built differently. Every component measure something completely separate, so if one is broken or noisy the others still give you useful information. And every component's reading is visible individually, so you always know why the combined bias says what it says. The four things it measures are the four things that define market behaviour at any point in time i.e. direction, position, energy, and state. Take away any one of them and your read of the market is incomplete. Component 1 — Structure The foundation. Before anything else, you need to know which direction the market is moving. Structure is determined by looking at real swing highs and swing lows actual turning points in price, confirmed by a configurable number of bars on either side. MBD then compares the last two swing highs and the last two swing lows to each other: Higher High + Higher Low = price is making upward progress = Bullish structure Lower High + Lower Low = price is making downward progress = Bearish structure Mixed = price is going nowhere with conviction = Neutral The key distinction here is that this uses actual pivot points, not a moving average that lags behind price. When price makes a genuine new swing high above the previous one, that is a fact. MBD records it. When structure flips, when a bullish sequence suddenly becomes bearish the dashboard immediately flags it as Transitioning , which is a warning to pay attention even before the other components react. Component 2 — Range Position Knowing the direction is not enough. You also need to know where price currently sits within the bigger picture. Think of it this way if a stock has been trading between 100 and 150 for the past two months and it is currently at 148, the structure might still say bullish. But you are buying right at the top of a two-month range. That is a very different risk than buying the same stock at 108. Range Position solves this. It takes the highest high and lowest low over the last 50 bars (configurable) and calculates exactly where the current price sits inside that range as a percentage. It then displays that as a visual progress bar so you can see it instantly without reading a number: Above 60% — price is in the upper portion of the range, bullish context 40% to 60% — price is in the middle, neutral, no positional edge Below 40% — price is in the lower portion of the range, bearish context This component is especially powerful when it contradicts structure. Bullish structure but range position at 90%? That tension is worth knowing. You are buying a bullish trend right at the top of the range the exact level where sellers tend to appear. MBD puts that conflict in front of you so you can decide what to do with it. Component 3 — Momentum A trend can be intact and dying at the same time. Momentum is what tells you which one it is. Here is something most beginners don't realize: a market can keep making higher highs while simultaneously running out of steam. The direction is still up. The structure still says bullish. But each successive push is covering less ground than the one before it. That is a trend that is exhausting itself and being in it without knowing that is how you get caught in a reversal you did not see coming. MBD measures momentum by tracking the size of recent price swings and comparing them to earlier ones. How much distance each swing is covering relative to past swings. Then it smooths that comparison to filter out noise. Swings getting bigger = Accelerating. The trend has fuel. It is building, not dying. Swings roughly the same size = Steady. Trend is continuing at a consistent pace. Swings getting smaller = Fading. Energy is leaving the move. Proceed with caution. The most powerful combination is Bullish structure + Accelerating momentum. That is a market with direction and energy behind it. The most dangerous combination is Bullish structure + Fading momentum a trend that looks fine on the surface but is quietly breaking down underneath. Component 4 — Volatility Market cycle between expansion and contraction. This component tells you which phase you're in. After a big move, markets tend to calm down and compress. Volatility drops. Ranges tighten. Then at some point the compression end and when it does, the next move tends to be sharp and clean. Understanding where you are in that cycle completely changes how you should be treating the market. MBD measures this by comparing the current ATR (Average True Range a measure of how much price is actually moving bar to bar) against its own longer-term average. Three states are possible: Expanding — the market is moving more than usual. Trends are active and clean. Good environment for trend following entries. Normal — Volatility is around its historical average. Market is in a typical state, nothing exceptional to flag. Coiling — Volatility has contracted significantly below normal. The market is compressing like a spring. It will not stay this quiet forever. When you see Coiling on the dashboard, a breakout is typically approaching. It does not tell you the direction but it tells you to pay attention, tighten your stops if you are in a trade, and have a plan ready. Many of the cleanest, most explosive moves in any market come directly out of a coiling period. The combined bias Each component scores +1 for a bullish reading, -1 for bearish, and 0 for neutral. Those scores are added up and the total maps to these labels: ▲ Strong Bullish — most or all components aligned bullish ▲ Moderate Bullish — clear bullish lean with some components neutral ▲ Weak Bullish — marginal bullish lean, proceed carefully ◆ Ranging — no directional edge at all ▼ Weak / Moderate / Strong Bearish — same logic in the bearish direction ⚡ Coiling — breakout approaching, direction unclear. ↔ Transitioning — structure just flipped. Wait for confirmation. The bias label is visible for both your current timeframe and your higher timeframe simultaneously, so you always have both perspectives in front of you. Multi-Timeframe At the bottom of the component section there is a TF Alignment row. This is arguably the most valuable reading in the entire indicator. It tells you whether your current timeframe and your higher timeframe are saying the same thing: Aligned — both timeframes agree on direction. This is where the highest probability setups live. When you are bullish on the 15-minute and the 4-hour is also bullish, you have the wind at your back. Conflicting — the timeframes disagree. You might be seeing a bullish setup on your trading timeframe but the higher timeframe is bearish. That does not mean you can't trade but you are fighting the bigger picture, and that should affect your position size and your expectations. Mixed — partial agreement. Somewhere in between. The most common mistake beginners make is entering a trade that looks perfect on their timeframe without ever checking the bigger picture. This removes that blind spot entirely. The most common mistake beginners make is entering a trade that looks perfect on their timeframe without ever checking the bigger picture. This removes that blind spot entirely. Past Bias Trail The trail row shows the last 10 bias states the market has moved through, from oldest on the left to newest on the right. Each symbol represents a complete past bias when the bias changed state. This filters out noise and shows you meaningful shifts. Three patterns to watch for: Consistent — sustained bullish symbols across most of the trail. This tells you the market has been in a clean trend for a while and the current bullish reading is not new it has been the dominant state. Trade with it. Choppy — random mix of bullish, bearish, and neutral. The market has been going nowhere with conviction for a while. Even if the current bias looks bullish, history says this market cannot hold a direction. Reduce size or sit out. Reversal — bearish, then ranging, then coiling, then transitioning, then bullish. This is a textbook reversal building over time. Each step makes sense in sequence. This is the kind of trail that tells you a genuine directional shift has happened and the new bias has momentum behind it. How to Use Each step builds context, so following a consistent flow helps you understand not just what the market is doing, but whether it’s worth trading at all. 1: Check Timeframe Alignment - Start by comparing your current timeframe with the higher timeframe. When both are aligned, the market has directional agreement and trades carry higher probability. If they conflict, you are trading against the broader trend, which increases risk. Mixed conditions usually indicate uncertainty. At this stage, you are simply deciding whether the environment is favorable enough to proceed. 2: Read the Overall Bias - A strong bias means multiple factors are supporting the same direction, while a weak or neutral bias suggests there is no clear edge. This step helps you quickly judge whether the market has conviction or is just moving without structure. 3: Understand the Components - Look at structure, range position, momentum, and volatility together. These components explain why the bias exists. For example, a bullish bias supported by strong structure and accelerating momentum is very different from a bullish bias where momentum is already fading. 4: Evaluate Entry Location - Before entering, check where price sits within its range. Even in a strong trend, entering near extremes increases risk. Good trades come from combining direction with reasonable positioning, not chasing price at the edges. 5: Confirm Momentum Momentum tells you if the move still has strength. Accelerating momentum supports continuation, while fading momentum warns that the move may be weakening. This helps you avoid entering late into exhausted trends. 6: Check Volatility Now assess the volatility state. Expanding volatility supports trending moves, while coiling indicates compression and a potential breakout. During coiling phases, it is usually better to wait for confirmation rather than predict direction. 7: Review Recent History Finally, glance at the bias history trail. A consistent sequence suggests a stable trend, while a mixed sequence indicates choppy conditions. This adds context and helps you judge whether the current state is likely to hold. Final Decision When alignment, bias, components, and conditions all support each other, you have a strong setup. If they conflict, the better decision is often to stay out. SETTINGS Swing Length — How strict the pivot detection is. Higher = fewer but more significant swings detected (default: 5) Range Lookback — How many bars define the recent high/low range (default: 50) ATR Period — Bars used to measure current volatility (default: 14) ATR Average Period — Volatility baseline (default: 50) Coiling Threshold - How compressed volatility must be to trigger the Coiling state (default: 0.75) Higher Timeframe —Multi timeframe (default: 240 = 4H) History Count — Number of observations in the past bias trail (default: 8) Panel Position — Where the dashboard sits on your chart (default: Top Right) Color Theme — Dark / Light Works everywhere MBD is built to work universally not just on one asset type or one timeframe. The four components it measures are structure, range position, momentum, volatility these exist in every liquid market that has ever traded. Whether you are scalping Bitcoin on the one minute chart, swing trading stocks on the daily, or analyzing forex on the four hour, the dashboard reads the same way and the interpretation is identical. This is not a signal tool . It is a context tool. Use it to understand the market before you enter, not to decide for you.
Indicador Pine Script®
por SharpStrat
Minicharts Pro+ [Herman]Minicharts Pro+ Minicharts Pro+ is a multi-timeframe visualization tool designed to display higher timeframe price action directly on your current chart. The script renders multiple compact “mini charts” representing selected timeframes, allowing users to observe structure, candle behavior, and relative positioning without switching between charts. It is intended for traders who want to maintain awareness of higher timeframe context while working on a lower timeframe, without interrupting their workflow. Purpose The main purpose of this tool is to improve chart workflow and situational awareness by: Providing a clear overview of multiple timeframes in one place Reducing the need to switch between charts Helping users visually align lower timeframe activity with higher timeframe structure This script is designed as a visual analysis aid and can be used alongside any trading methodology. How it works The indicator uses request.security() to retrieve OHLC data from selected timeframes and reconstructs them as miniature charts displayed on the right side of the screen. Each mini chart: Displays historical candles from the selected timeframe Is scaled dynamically based on recent price range and volatility Is rendered independently to preserve clarity of structure The layout is organized in a grid format, where each panel represents a different timeframe. Users can adjust positioning, spacing, and sizing to fit their chart preferences. Moving Averages & VWAP Each mini chart includes optional overlays for additional visual context: EMA (Exponential Moving Average) VWAP (Volume Weighted Average Price) These can be enabled or disabled individually for each mini chart, allowing flexible customization depending on user preference. Both EMA and VWAP are calculated using standard methods based on the selected timeframe data and are displayed purely for reference. SMT (Intermarket Comparison) The script includes an optional SMT-style comparison feature between correlated instruments. By default, the script automatically selects a related symbol (e.g., NQ ↔ ES, GC ↔ SI) Users can manually override the symbol if needed Pivot-based comparisons are used to highlight differences in swing highs and lows between instruments This feature provides a visual way to compare price behavior between instruments and is based solely on historical price data. HTF FVG Visualization Optional higher timeframe imbalance (FVG) zones can be displayed within each mini chart. Both standard and inverted FVG structures are supported Users can choose between extended zones or next-bar-only display Only the most recent inverted FVG is highlighted to reduce visual clutter These zones are derived from candle relationships within the selected timeframe and are provided for visual reference only. Inputs & Customization The script provides multiple configuration options to adapt to different workflows: Minicharts Setup Up to 6 independent timeframes Enable/disable each mini chart Optional SMT overlay per timeframe Individual EMA and VWAP toggles per mini chart SMT Configuration Automatic or manual symbol selection Pivot lookback setting Custom colors for high/low comparisons HTF FVG Configuration Enable/disable FVG display Extension mode selection Custom colors for bullish, bearish, and inverted zones Style & Layout Number of candles displayed per mini chart Spacing and positioning Chart size and grid layout Candle colors and background frames Timeframe label visibility Notes This script is designed for visualization purposes only It does not generate trading signals, alerts, or recommendations All calculations are based on historical price data The tool is intended to support chart analysis, not replace independent decision-making
Indicador Pine Script®
por helmans13
18
ICT Smart Money Footprint [AGPro Series]ICT Smart Money Footprint 🔷 OVERVIEW ICT Smart Money Footprint is a multi-timeframe price action engine that maps institutional liquidity behavior directly onto your chart. It combines higher-timeframe reaction zones (BSL/SSL) derived from swing pivots with candle-by-candle lower-timeframe footprint states — Liquidity Grab, Displacement, and Reclaim — into one cohesive visualization. A live panel tracks session bias, daily event counts, and zone lifecycle, giving price action traders a complete context window for ICT-style analysis across every timeframe. 🧭 UNIQUE EDGE Most Smart Money Concept indicators plot every swing as a zone, producing cluttered charts that obscure the very structure they aim to reveal. This tool takes a different route. It separates the question "where is liquidity?" (answered at HTF with wide, contextual zones) from "what is price doing right now?" (answered at LTF with footprint labels). The two layers communicate through a single panel and a shared color palette, so the trader always sees both the macro landscape and the tactical footprint without layering multiple scripts. Priority filtering ensures only the highest-conviction event is printed per bar, and confluence windowing prevents label clustering. ⚙️ METHODOLOGY The script runs two parallel engines. The HTF Zone Engine pulls pivot highs and lows from a higher timeframe using request.security with lookahead disabled. Each confirmed pivot anchors a reaction zone sized by HTF ATR × 1.5, ensuring natural visibility on any chart view. Buy-Side Liquidity (BSL) zones form above price at pivot highs; Sell-Side Liquidity (SSL) zones form below price at pivot lows. Zones extend right via line.new with extend.right and a linefill between the two edges. When price tags a zone, the zone is marked mitigated: its lines switch to dashed style, width drops, color fades, and right extension freezes at the touch point. The LTF Footprint Engine evaluates each confirmed candle for three events. Liquidity Grab triggers when price sweeps the prior LTF swing with a buffer and closes back inside range in the opposite direction. Displacement triggers when candle range exceeds ATR × multiplier and the candle breaks the prior bar's extreme. Reclaim triggers when price recovers a recently lost swing level within a 20-bar window. A priority filter (DISP > LG > REC) prints only the strongest event per bar and direction. A session bias score accumulates these events and resets daily, tinting the chart background and updating the panel in real time. 📡 SIGNALS & ALERTS Six alert conditions are built in: • Liquidity Grab (bull or bear) • Displacement (bull or bear) • HTF Mitigation (any zone tagged) • Reclaim (bull or bear) • Bias Turned Bullish • Bias Turned Bearish All alerts include ticker and interval placeholders for multi-chart monitoring. 🎛️ KEY INPUTS HTF Source — Auto scales the higher timeframe to your chart (15m→4H, 1H→D, 4H→W, 1D→M), or pick a manual HTF. HTF Pivot Length — controls strength threshold of liquidity zones. HTF Zone Height (ATR x) — default 1.5; tune for wider or tighter zones. LTF Pivot Length — swing sensitivity for LG and REC detection. Displacement ATR Multiplier — default 2.0; raise for only the most explosive candles. Sweep Buffer — extra cushion above or below swing levels for LG qualification. Confluence Window — suppresses back-to-back same-direction labels. Session Bias Band — subtle background tint reflecting daily event accumulation. Panel Location, Theme, Font Size — full control over on-chart presentation. 🧩 HOW TO USE Start with your normal trading timeframe. The HTF Source set to Auto will anchor the zones to a relevant higher timeframe. Watch how price interacts with the BSL and SSL zones: unmitigated HTF zones act as liquidity targets and reaction areas, while mitigated (dashed) zones mark where liquidity has already been absorbed. Use the LTF footprint labels to read the tactical story inside those zones. A Liquidity Grab near an SSL zone hints at institutional accumulation. A Displacement candle after an LG often precedes a structural shift. A Reclaim of a recently lost level signals inducement and potential continuation. The panel's Session Bias gives you a running directional read; when it flips, an alert can fire. Traders typically combine this tool with their own execution framework: HTF zones for bias and target selection, LTF footprints for timing and confirmation. The indicator provides the map; risk management, entry rules, and position sizing remain the trader's responsibility. ⚠️ LIMITATIONS & TRANSPARENCY This indicator is an analytical mapping tool, not a trading strategy. It identifies structural patterns and plots them for visual analysis. HTF zones rely on request.security with lookahead disabled, which means new zones appear only after the HTF pivot is fully confirmed — this introduces a natural lag consistent with non-repainting practice but means some reactions may occur before the zone is drawn. LTF footprint labels are confirmed on bar close. Intrabar signals during live bars may flicker until the bar closes. Different market conditions produce different zone densities. Ranging markets generate more mitigated zones; trending markets leave more unmitigated zones above or below price. Use the Max Active Zones input to cap chart clutter. Past structural patterns do not guarantee future outcomes. Liquidity sweeps can mark reversals or simply precede continuation moves. Always validate signals with your own analysis and broader market context. 📌 RISK DISCLOSURE This script is provided for educational and analytical purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Trading involves substantial risk of loss. Past performance does not guarantee future results. Users are solely responsible for their trading decisions, risk management, and position sizing. The author assumes no liability for any outcome arising from the use of this indicator.
Indicador Pine Script®
por AGProLabs
Trend Quality [AGPro Series]Trend Quality Trend Quality fuses three independent regime dimensions — ADX directional strength, Kaufman Efficiency Ratio, and ATR-normalized EMA slope — into a single 0–100 composite Trend Quality Score. A hysteresis + confirmation + cooldown gate turns that score into a stable TREND / CHOP regime, enhanced with HTF confirmation, lifecycle phases, score velocity, breakout grading, directional dominance, and a full adaptive on-chart quality window. The goal is simple: replace noisy "is this a trend?" guessing with a transparent, multi-dimensional, low-lag quality reading you can read in one glance. 🎯 OVERVIEW Most trend filters fail at the same thing — they tell you a trend exists, but not whether that trend is clean, accelerating, fading, or already exhausted. Trend Quality answers the harder question. Every bar is scored on three independent dimensions that each measure a different physical property of price movement: • ADX — directional strength (how strongly one side dominates) • Kaufman Efficiency Ratio (ER) — path efficiency (how little wasted motion) • ATR-normalized EMA slope — normalized trend velocity (how fast, relative to volatility) These three signals are combined into one 0–100 Trend Quality Score. A hysteresis band + confirmation bars + cooldown filter convert that score into a stable TREND / CHOP regime — no single-bar flipping, no false recovery wicks. On top of the core regime, the indicator layers Score Velocity, Lifecycle phases (Emerging → Confirmed → Exhausting), Breakout Quality grading (A / B / C), directional dominance, and a visual Quality Window that tracks the active trend zone and projects it forward. 💎 UNIQUE EDGE What separates Trend Quality from a standard ADX filter, an EMA slope indicator, or a generic regime meter: • Tri-factor fusion (not a single metric) — ADX alone misses path quality; ER alone misses direction; slope alone misses choppy-but-strong moves. Weighted fusion (45% ADX, 35% ER, 20% Slope) neutralizes each component's blind spot. • Stable regime, not a flickering line — the TREND / CHOP state passes through a 3-layer filter: hysteresis band around the threshold, N confirmation bars, and a cooldown window after every transition. The result is a regime reading that holds through pullbacks without flipping. • Score Velocity Engine — a second-derivative layer that watches how fast the score itself is changing. Surges flag momentum ignition; collapses flag quality breakdown before price confirms it. A bearish divergence detector fires when price makes new highs while quality is fading. • Lifecycle phases — inside every TREND regime, the script distinguishes Emerging (young, fresh, accelerating), Confirmed (mature, stable, above buffer), and Exhausting (score rolling over from a peak). This lets you see whether you are entering early, running mid-trend, or catching the end. • Breakout Quality Badge (A / B / C) — every CHOP → TREND transition receives a graded badge based on composite score plus velocity bonus. Grade A breakouts are rare and have an optional dedicated alert. • HTF confirmation with Auto-HTF mapping — the same engine runs on a higher timeframe. When LTF is trending but HTF is not, the regime is marked BLOCKED (not forced to CHOP) so you retain full transparency about why the regime is gated. • Adaptive Quality Window — a live rectangular zone that tracks the full trend's high/low from its start bar, projects forward, shows ceiling/floor projection labels, and preserves historical windows with directional color coding (green for up-trends, pink for down-trends, amber for HTF-blocked trends). 🧪 METHODOLOGY Core composite score (every bar, LTF): Score = 100 × (0.45 × ADX_norm + 0.35 × ER_norm + 0.20 × Slope_norm) • ADX_norm = min(ADX / 50, 1) • ER_norm = |close − close | / (SMA(|Δclose|, N) × N) • Slope_norm = min(|EMA − EMA | / ATR × 10, 1) Regime gating: • Hysteresis: +3 above threshold to enter TREND, −3 below to enter CHOP • Confirmation: N consecutive bars above/below the hysteresis band • Cooldown: N bars after every regime flip where no new flip is allowed MTF confirmation (optional, default ON): The same core function is called via request.security on the HTF (Auto: 30m→4H, 4H→Daily, Daily→Weekly, Weekly→Monthly in Strict mode). When LTF=TREND but HTF=CHOP, the regime is tagged BLOCKED — a transparent third state that is neither forced-CHOP nor accepted-TREND. Lifecycle logic: • Emerging: TREND is young (bars since start ≤ Emerging Bars) OR score slope ≥ 0 and score below buffer • Confirmed: score ≥ threshold + Confirmed Buffer AND HTF passes (optional) • Exhausting: score slope < 0 AND pullback from peak ≥ Exhaustion Pullback Score velocity: velocity = score − score (default 5-bar look-back) Breakout quality grading: bqScore = score + velocity_bonus (bonus: +15 if vel>15, +7 if vel>5, else 0) A ≥ 82, B ≥ 67, C < 67 🔔 SIGNALS & ALERTS The script exposes 12 alert conditions — all moderator-safe, educational, non-solicitating: • CHOP → TREND / TREND → CHOP regime flips with LTF+HTF context • Strong Trend composite conviction threshold • HTF Blocked / HTF Unblocked third-state transparency events • Emerging / Confirmed / Exhausting Trend lifecycle phase changes • Velocity Surge / Velocity Collapse second-derivative extremes • Grade-A Breakout rare high-conviction breakouts • Bearish Divergence price up, quality down warning On-chart visual events (also filterable via inputs): • Breakout Quality badge (A / B / C) at every CHOP → TREND • Bearish divergence ⚠ marker at trend peaks where quality fades • State tag near backbone: EMERGING / CONFIRMED / EXHAUSTING / HTF BLOCKED • Quality Window label: ACTIVE + phase • Projection labels on the right edge: QUALITY CEILING / TREND FLOOR All badge and warning labels are gated with an 8-bar cooldown so the chart stays clean even on repeated intra-swing triggers. ⚙️ KEY INPUTS Core engine: • ADX Length (14) — directional strength look-back • Efficiency Length (20) — ER path-efficiency window • Slope EMA Length (50) — trend backbone reference • ATR Length (14) — volatility normalization • TREND Threshold (55) — composite score level to enter TREND • Confirmation Bars (1) — bars of persistence before flipping • Strong Trend Offset (15) — extra score above threshold for STRONG tag MTF: • HTF Confirmation (ON) — enable/disable HTF gate • Auto HTF (ON, Strict) — smart HTF mapping per chart TF • Manual HTF (240) — override timeframe Stability: • Change Cooldown Bars (2) — lock-out window after any regime flip Lifecycle: • Emerging Phase Bars (4) — max trend age to stay Emerging • Confirmed Buffer (8.0) — score must clear threshold+buffer • Exhaustion Pullback (4.0) — peak-to-current drop to flag Exhausting Visual Overlay: • Backbone + Glow + Zone + State Candles + Quality Window + Historical Windows + Projection Box + Guides + Midline (all toggleable) Panel, Theme, Layout, Help rows, Alerts, Score Velocity Engine, Breakout Quality Badge, Divergence Detector — every layer has its own input group and can be shown/hidden independently. 📘 HOW TO USE Read-in-one-glance panel (standard AGPro format): • Blue header row: script title • Line 2: REGIME / LIFECYCLE · Score N/100 · Velocity state • Line 3: LTF regime · Direction · Directional Dominance • Line 4: HTF regime · MTF PASS/BLOCKED · Active Window state · Streak Quick playbook: 1. CHOP on LTF → wait. No setup, no commitment. 2. CHOP → TREND transition with Grade A badge + HTF PASS → highest-conviction regime start. 3. CONFIRMED phase with DOM HIGH and rising score → the middle of the trend, usually the cleanest section. 4. Velocity COLLAPSE or EXHAUSTING phase with bearish divergence ⚠ → quality is deteriorating; reduce exposure or tighten stops. 5. HTF BLOCKED amber window → LTF trend exists but higher timeframe disagrees; treat as lower-conviction and be aware of mean-reversion risk. The indicator does NOT issue buy/sell signals, does NOT define entry/exit prices, and is NOT a strategy. It is a regime-quality reading — a context layer you pair with your own trade management. ⚠️ LIMITATIONS & TRANSPARENCY • Trend-quality indicators are inherently trend-following. In low-volatility ranges the score can stay above threshold on minor moves; in very fast markets the score can lag by 1–3 bars while the filters stabilize. • HTF confirmation introduces a natural HTF delay. This is intentional (it removes noise) but means the HTF gate may lift several LTF bars after price has already moved. • All composite signals rely on look-backs (ADX 14, ER 20, Slope EMA 50, ATR 14). On very short intraday timeframes with low bar counts these need calibration. • Lifecycle phases are structural readings, not predictions. EXHAUSTING means the score is rolling over — not that price must reverse. • Past performance of any visual regime does not imply future performance. Charts showing clean historical windows are illustrative of the indicator's logic, not trading results. • No repainting on historical bars. The HTF call uses lookahead_off and barmerge.gaps_off. Score and regime values on closed bars are final. 🛡️ RISK DISCLOSURE This script is published as an educational and analytical tool. It does not provide financial advice, does not generate trade signals of any kind, and must not be used as a standalone decision system. Markets involve substantial risk of loss. Past behavior of any market regime, indicator output, or historical visual window is no guarantee of future results. Always combine any indicator with independent risk management, position sizing, a tested plan, and — where appropriate — the guidance of a licensed professional. You are solely responsible for any trading decisions you make.
Indicador Pine Script®
por AGProLabs
Auto Trendlines MTF - Break/Retest [AGPro Series]Auto Trendlines MTF - Break/Retest 🔹 OVERVIEW Auto Trendlines MTF - Break/Retest is a multi-timeframe trendline visualization engine that automatically detects and draws the most structurally significant trendlines across three complementary scales: Micro (current timeframe), Meso (intermediate pivots), and Mega (HTF weekly/monthly overlay). Instead of relying on a single pivot scan, the engine builds a ranked candidate pool from each scale and selects the lines that best represent the active market structure around current price. The script is designed as a pure analytical visualization tool — it does not generate trading decisions, forecasts, or directional recommendations. Its purpose is to give the chart a clean, hand-drawn-quality trendline layer that updates automatically as new pivots form. 🎯 UNIQUE EDGE Most auto-trendline tools scan one timeframe and draw whatever fits. This engine operates differently in four specific ways: • Three-scale MTF engine. Micro pivots on the current TF, Meso pivots with wider sensitivity, and Mega trendlines derived from Weekly/Monthly HTF pivots are computed independently and rendered together with a visual hierarchy (Mega dominant, Meso intermediate, Micro active). • Log-space geometry. All trendline math runs in log-price space, so long-dated diagonals on volatile assets (crypto, growth stocks) do not distort visually when the chart is viewed in logarithmic mode. • Touch-weighted ranking with violation penalty. Each candidate line is scored by touch count, line age, slope sanity, price proximity, and intra-line violations. Weak geometry, over-sloped lines, and frequently violated lines are demoted automatically. • Q quality score (0–100) and confluence tags (x2/x3). Every drawn line carries a Q score that blends touches, freshness, geometry, relevance, and violations into a single number. Confluence tags surface when a Micro line and a Meso line sit within the same ATR band near price, highlighting multi-scale structure overlap. 🧠 METHODOLOGY 1. Pivot detection. Separate pivot streams are maintained for Micro (tight sensitivity), Meso (wider sensitivity), and Mega (HTF pivots via request.security). 2. Candidate generation. For each scale, the engine pairs anchor pivots with subsequent pivots to form line candidates, discards over-sloped ones, and computes touches, violations, and break status in log space. 3. Ranking. Candidates are scored by a weighted combination of touch count, time span, slope sanity, relevance to current price (distance in ATR), and violation count. The best non-duplicate lines are kept per scale. 4. Clutter guards. A minimum ATR separation rule prevents near-duplicate lines from stacking. Smart Focus hides far-from-price lines in Minimal/Balanced density modes to keep the chart readable. 5. Stability mode. In Locked mode, selected lines persist bar-to-bar and are only replaced when they break or fall out of the candidate pool — reducing visual repainting on lower TFs. 6. Break/Retest detection. Once a line is drawn, the engine tracks close-based breaks (with configurable tolerance) and subsequent retests within a time window, emitting labeled signals on TF ≤ 1D. ⚙️ SIGNALS & ALERTS Break and retest events are plotted for each scale with short ASCII tags: • µR / µS = Micro Resistance / Support break • mR / mS = Meso Resistance / Support break • MR / MS = Mega Resistance / Support break • rµ / rm / rM = retest on Micro / Meso / Mega respectively A dedicated alertcondition is exposed for every break and retest event, plus two aggregate alerts (Any BR, Any RT) for users who prefer a single alert stream. A Min Q filter lets the user suppress low-quality signals. 🛠️ KEY INPUTS • Profile Mode. Auto by Timeframe or Manual (Clean Trader, Balanced, Analyst, Presentation, Custom). • Density Override. Minimal, Balanced, or Bold visual density. • Line Weight Override. UltraThin, Thin, or Normal. • Labels / Signals / Stability / Broken-line behavior. All individually overridable. • Mega Overlay. Full (lines + cloud + label), Lines Only, or Off. • Advanced panels. Micro Engine, Meso Engine, Mega Engine, Ranking, Visuals, and Signals each expose their own fine-tuning controls for experienced users. • HUD. Position, theme (Classic Gray, Premium Accent, Color Coded, Showcase), and text size. 📘 HOW TO USE • Add the script to any liquid symbol and start on a 1H or 4H chart. • Leave Profile Mode on "Auto by Timeframe" for a balanced default that adapts to the active TF. • Read the HUD in the top-right corner to see the active profile, how many Micro/Meso lines are drawn, whether Mega is active, and current Q scores. • When a line carries a Q score above ~65 and a Conf tag (x2 or x3) appears nearby, that zone is a multi-scale structural pocket — use it as a planning reference, not as a trade trigger on its own. • Use the Break/Retest tags for situational awareness around drawn lines; combine with your own confirmation logic before acting. ⚠️ LIMITATIONS & TRANSPARENCY • Lines are drawn from historical pivots and can only confirm after a pivot is established. The engine avoids repainting in Locked mode but cannot predict future pivots. • Q scores and confluence tags describe structural quality, not directional probability. A high-Q line can still break. • Mega lines depend on HTF pivot availability; on very young symbols or thin charts, Mega may fall back to a Macro-pivot source or remain hidden. • The script is published as Public, Open Source so that every ranking rule, weight, and threshold is fully auditable in the source code. 🛡️ RISK DISCLOSURE This script is a visualization and analysis tool only. It is not financial advice, not a trading strategy, and not a signal service. No performance claims are made or implied. Past structural behavior of trendlines does not guarantee future behavior. All trading decisions, risk sizing, and execution remain the sole responsibility of the user.
Indicador Pine Script®
por AGProLabs
2
Cross-Timeframe Value Overlay [AGPro Series]Cross-Timeframe Value Overlay 🔷 Overview Cross-Timeframe Value Overlay projects up to three independent rolling value bands — one per selected higher timeframe — onto a single chart. Each band marks the region where price has been accepted on that timeframe over a configurable lookback window, built from a volume-weighted or mean-based anchor surrounded by an ATR envelope. A built-in state engine then classifies the relationship between bands in real time as ALIGNED, OVERLAP, CONFLICT or NEUTRAL, so multi-timeframe context becomes readable in a single glance. 🔷 What Makes This Different Most multi-timeframe scripts stack indicators or draw fixed HTF pivots. This tool builds a *rolling* value envelope on each timeframe and then compares them structurally rather than numerically. • Three independent MTF value bands on one chart, each with its own lookback context and ATR-sized width. • Dedicated state engine with four discrete regimes — ALIGNED / OVERLAP / CONFLICT / NEUTRAL — based on pairwise band geometry, not on raw price. • Dynamic z-order rendering that automatically draws the slowest timeframe behind faster ones, and an opacity hierarchy that keeps the slowest band lightest and the fastest band darkest. Larger structures frame smaller ones instead of obscuring them. • Rank-based label placement that prevents collisions when bands overlap in price, so labels remain readable even during OVERLAP or ALIGNED states. • Box width adaptively capped so a Daily band cannot swallow a 1H chart. • Dominant-TF tracking that always reports the highest enabled timeframe and the price position relative to its band. 🔷 Methodology For each enabled timeframe the script computes: • Anchor = VWAP (volume-weighted HLC3) over the rolling window, or HLC3 SMA when volume data is unreliable. • Half = ATR(window) multiplied by the configured band-width factor. • Band = . Values are requested with lookahead disabled, so historical band positions reflect only data that was available at the time. The state engine then evaluates: • Pairwise overlap — do any two bands share a price region? • Alignment — are all enabled band centers clustered within a strictness threshold (Loose 1.2 ATR / Standard 0.8 ATR / Strict 0.4 ATR) of their mean? • Disjoint count — how many pairs are fully separated? These three checks map deterministically to one of four states on every bar. 🔷 Signals and Alerts Three built-in alert conditions cover the most useful MTF transitions: • Value Overlap Detected — a new pairwise overlap forms between any two enabled timeframes. • Higher-Timeframe Value Lost — price leaves the dominant HTF value band after being inside it on the previous bar. • Cross-Timeframe Conflict — the state engine transitions into CONFLICT, indicating that at least one enabled pair of bands has become fully disjoint. All alerts are wired as alertcondition() entries so they can be combined with the standard TradingView alert workflow. 🔷 Key Inputs • Timeframes — enable/disable up to three HTFs and pick any resolution for each (defaults 1H / 4H / Daily). • Rolling Window — 10 to 500 bars for the anchor and ATR. • Band Width — 0.25 to 3.0 ATR half-width. • Anchor Method — VWAP + ATR or HLC3 MA + ATR. • Alignment Strictness — Loose, Standard or Strict threshold for the state engine. • Show Only Overlapping Bands — hides isolated bands to keep confluence zones visible. • Visuals — per-TF color, base opacity, right-edge label toggle, label font size. • Panel — position, font size and master visibility switch. 🔷 How to Use • Read the state first. ALIGNED = all enabled timeframes agree on a common value region; OVERLAP = partial confluence; CONFLICT = disjoint timeframes; NEUTRAL = fewer than two active bands or indeterminate. • Read the Dominant row to see which timeframe currently carries the most structural weight. • Read the per-TF rows to locate price as Above / Inside / Below each band. • Combine the three in a single pass: for example, price Above a dominant HTF band while the state is CONFLICT is a very different context from price Inside an ALIGNED stack. • Pair with your existing entry framework (breakout, mean-reversion, order flow, trend-following) — this tool is a context layer, not an entry signal generator. 🔷 Limitations and Transparency • Box-based rendering is capped at three concurrent bands by design to keep the chart readable. • All values are computed with lookahead disabled. Bands update when the corresponding HTF bar closes, which is the expected behavior for any MTF tool. • Volume-weighted anchoring depends on the quality of the instrument's volume feed; on markets with unreliable volume, switch to the HLC3 MA method. • This script is an analytical overlay. It is not a strategy, does not produce buy/sell signals, and makes no forecasting claim. 🔷 Risk Disclosure Trading involves substantial risk. This indicator is provided for research and educational purposes only and does not constitute financial advice. Past market behavior does not guarantee future results. Always perform your own due diligence and use proper risk management. Open-source under Mozilla Public License 2.0.
Indicador Pine Script®
por AGProLabs
Meridian Session Atlas [JOAT]Meridian Session Atlas Introduction Meridian Session Atlas (MSA) is an open-source ICT-methodology session zone engine that renders all five major trading killzones — Asia, London, NY AM, NY Lunch, and NY PM — as live, price-tracking boxes on the chart. Each session gets its own high and low pivot lines that extend rightward until price sweeps them, a real-time session VWAP for fair-value reference, and a sweep detection system that fires when a wick pierces a session extreme and the bar closes back inside. Daily and weekly opening prices are overlaid as key reference levels. All five sessions are fully configurable: colors, time windows, and visibility can be customized independently. The core problem MSA solves is the manual, time-consuming work of identifying and drawing session ranges each day. ICT traders use session high/low levels as primary liquidity pools — price regularly sweeps below Asia lows to grab sell-side liquidity before reversing, or above London highs to take buy-side liquidity before reversing. Identifying those sweeps in real time, across all sessions simultaneously, on a clean chart with VWAP context is what MSA automates completely. Core Concepts 1. Session Detection and State Tracking Each of the five sessions is detected using Pine Script's time() function with the user-configured session string and timezone. A session starts when the current bar's time falls inside the session window for the first time (transition from outside to inside), and ends when it transitions back out: bool asiaOn = useAsia and not na(time("", asiaSess, tzInput)) bool asiaStart = asiaOn and not asiaOn bool asiaEnd = not asiaOn and asiaOn On session start, the high, low, left bar index, and VWAP accumulators are reset. During the session, the high and low expand with each bar. On session end, the pivot lines are drawn and extended right. 2. Killzone Boxes Each session draws a box that expands in real time as the session progresses — the right edge and top/bottom move with each new bar's high and low. On session close, the box freezes at the final session high and low, creating a permanent visual record of that session's range. A configurable maximum history count prevents chart clutter by automatically deleting old session boxes when the count exceeds the limit. 3. Session VWAP Volume-weighted average price accumulates from the first bar of each session. The formula uses cumulative price-volume (hl2 * volume) divided by cumulative volume, resetting at each session start: float asiaVwap = asiaOn ? safeDiv(as_cpv, as_cv) : na The VWAP is plotted as a line only during the active session, breaking between sessions. It represents the institutional fair-value level within each killzone — institutional order flow frequently uses the VWAP as an equilibrium reference. 4. Liquidity Sweep Detection A sweep is detected when price wicks through a session's pivot high or low and then closes back inside. The logic applies a minimum depth filter (default 0.1 ATR) to eliminate trivial tag-and-return moves, an optional body filter to confirm directional close bias, and a cooldown period to prevent multiple signals from the same sweep: if low < as_lo and close > as_lo and asWickDn >= minSweepATR * atrVal and asBodyOkB as_bullSweep := true as_sweep := bar_index A bullish sweep fires when price wicks below the session low and closes back above it — this is the ICT buy-side liquidity grab pattern. A bearish sweep fires when price wicks above the session high and closes back below — the sell-side liquidity grab. All five sessions are monitored simultaneously. 5. Daily and Weekly Opens The opening price of each new trading day and each new trading week is plotted as a horizontal line extending rightward. These levels represent the most important institutional reference prices of their respective periods — the daily open divides the day into a bullish (above) or bearish (below) context, and the weekly open does the same for the week. Features Five Independent Killzone Boxes: Asia, London, NY AM, NY Lunch, and NY PM each rendered as live price-tracking boxes with individual color, time, and visibility settings Session Pivot Lines: High and low pivot lines extend from each completed session's extreme until price sweeps through them, providing persistent liquidity pool reference Configurable Line Style: Pivot lines can be Solid, Dashed, or Dotted with adjustable width (1-3) Five Session VWAPs: Real-time volume-weighted average price plotted for each active session in its respective color Sweep Signal Labels: Bull and bear sweep labels fire at the bar where the wick/close confirmation occurs, sized Tiny, Small, or Normal, with the session name embedded in the label Sweep Depth Filter: Minimum wick depth in ATR multiples prevents noise from triggering false sweep signals Body Confirmation Filter: Optional close-in-upper/lower-half confirmation strengthens sweep signal quality Sweep Cooldown: Configurable bar count prevents multiple signals from the same sweep event Daily and Weekly Open Lines: Dotted (configurable) horizontal lines at the current day and week open prices Timeframe Gate: All indicator elements automatically hide when the chart timeframe exceeds a configurable threshold — prevents the indicator from rendering on timeframes where session boxes are too compressed to be useful Session History: Configurable maximum number of completed sessions to keep on chart (1-8 per killzone) 9-Row Dashboard (Top Right): Active session name with color, session highs and lows for all five sessions, daily open price, current timeframe, and version Watermark: JackOfAllTrades signature at chart center-bottom Sweep Alerts: Separate bull and bear sweep alertconditions with plain-text or JSON webhook format Input Parameters Main Settings: Timezone: Exchange or broker timezone for session alignment (default: America/New_York) Hide Above Timeframe: Chart TF at which indicator elements hide (default: 60-minute) Session History: Number of completed sessions to keep per killzone (default: 3) Killzones (each session has identical controls): Enable toggle, session name, session time string, and color — fully independent per session Default sessions: Asia 20:00-00:00, London 02:00-05:00, NY AM 09:30-11:00, NY Lunch 12:00-13:00, NY PM 13:30-16:00 (all in New York time) Session Pivots: Show Session Pivot Lines toggle Show Session VWAP toggle Pivot Line Style: Solid, Dashed, or Dotted Pivot Line Width: 1-3 Sweep Signals: Show Sweep Signals toggle Min Sweep Depth (ATR x): Minimum wick depth as a multiple of ATR (default: 0.1) Cooldown Bars: Minimum bars between sweep signals (default: 3) Body Confirmation: Close must be in directional half of the candle body (default: enabled) Signal Size: Tiny, Small, or Normal (default: Small) How to Use This Indicator Step 1: Identify the Active Session The dashboard shows the current active session in its color. The live session box is expanding in real time. This gives immediate context for whether you are in a high-liquidity killzone or off-session dead time. Step 2: Monitor Session Extremes for Liquidity Pools Completed session highs and lows are the primary liquidity pools that ICT methodology targets. These are the levels where institutional order flow is placed — above previous highs (buy-side liquidity) and below previous lows (sell-side liquidity). Step 3: React to Sweep Signals When a sweep label appears, price has hunted a session extreme and rejected it. A bull sweep (below a session low, close back above) represents a sell-side liquidity grab and potential long entry opportunity. A bear sweep (above a session high, close back below) represents a buy-side liquidity grab and potential short entry opportunity. Confirm with higher-timeframe bias and session VWAP position. Step 4: Use Session VWAP as Fair Value Price above the active session VWAP is trading at a premium within that session. Price below is at a discount. ICT concepts suggest looking for longs from discount (below VWAP after a bullish sweep) and shorts from premium (above VWAP after a bearish sweep). Step 5: Reference Daily and Weekly Opens The daily open is the most important intraday reference level. Price holding above the daily open is a bullish intraday context. Sweeps of the daily open low with a close recovery signal potential long opportunities. Indicator Limitations Session times are fixed to the timezone input. On instruments that trade across midnight or on non-standard sessions, the default session strings may need manual adjustment The timeframe gate hides the indicator above the configured threshold. On timeframes above that threshold, none of the visual elements render — intentional behavior to prevent meaningless session boxes on, for example, a daily chart VWAP calculation uses hl2 (average of high and low) multiplied by volume. On indices, synthetic instruments, or assets with unreliable volume data, the VWAP reading will not be accurate Sweep detection uses bar close as the confirmation. Intrabar wicks that would constitute sweeps but then recover within the same bar are captured; wicks that close beyond the pivot are not classified as sweeps (they become the new session extreme) Session history has a maximum of 8 completed sessions per killzone. On very long charts or after major gaps, the oldest session data is automatically removed Originality Statement MSA is original in its simultaneous, automated management of five independent session zones with unified sweep detection and VWAP integration. This indicator is published because: The integration of five simultaneous, independently configurable session zones — each with its own box, pivot lines, VWAP, and sweep detection — into a single, performance-efficient indicator is uncommon. Most session-zone indicators handle only one or two sessions The sweep detection algorithm applies three independent confirmation layers (ATR depth filter, body filter, cooldown) simultaneously across all five sessions, with a unified aggregated signal that names the originating session The session VWAP calculation resets correctly at each session boundary (not at day boundary), providing a genuine intra-killzone fair-value reference rather than a daily VWAP approximation The timeframe gate is a usability feature that prevents the indicator from rendering meaninglessly on timeframes where session granularity is lost Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Session high and low levels are historical reference points — price does not respect these levels in all market conditions, and sweep signals do not guarantee continuation in any direction. ICT methodology concepts described here represent one school of technical analysis and are not universally accepted. Always use proper risk management. The author is not responsible for any trading losses resulting from the use of this indicator. -Made with passion by jackofalltrades
Indicador Pine Script®
por officialjackofalltrades
MTF Trend Agreement Map [AGPro Series]MTF Trend Agreement Map 🔹 **Overview** MTF Trend Agreement Map is a multi-timeframe alignment engine that reads the trend across five timeframes at once and distills the result into a single transparent agreement score. Instead of forcing you to flip between charts, the map tells you, on every bar, how many timeframes agree, which side wins, and whether the market is in a locked regime, a forming trend, or a conflict phase. It is built for swing traders, HTF-bias scalpers, position traders, and anyone who uses top-down analysis as part of their process. 🔸 **What Makes It Different** Most MTF indicators show a single method (usually a moving-average cross) repeated across timeframes, which means five rows that all agree with each other by construction. This map does something different: for each timeframe it runs three independent methods — an EMA regime filter, a pivot-based market-structure read (HH/HL vs LH/LL), and a normalized momentum slope — and blends their individual votes into the final score. You see not only the agreement across timeframes but also the agreement across methods, which exposes weak or borderline regimes that a single-method tool would quietly hide. 🔺 **Methodology** • EMA Trend: a timeframe is bullish when EMA50 is above EMA200 and price is above EMA50; bearish on the mirror condition; neutral otherwise. • Market Structure: confirmed pivots are tracked in real time. A timeframe is bullish while the last two confirmed swings form higher highs and higher lows, bearish on lower highs and lower lows. • Momentum Slope: the change in linear regression across a configurable lookback, normalized by ATR so that fast and slow assets are comparable. • Consensus per timeframe: each active method casts a vote; bulls minus bears determines the row's net direction and strength. • Overall alignment: bull and bear votes are summed across all active timeframes; the dominant side's share defines the agreement percentage. ◆ **Three-State Regime Engine** • **LOCKED** — agreement above the strong threshold (default 80%). High-conviction regime, continuation-friendly, background tint activates. • **TRENDING** — agreement between 50% and the strong threshold. Directional bias forming but not yet fully aligned. Trade with reduced size or wait for confirmation. • **SPLIT** — agreement below 50%. Timeframes are in conflict, no majority side. Classic chop phase, favors mean-reversion strategies or standing aside. 🔔 **Signals & Alerts** • Regime Lock (Bull or Bear): fires the first bar agreement crosses above the strong threshold while one side dominates. Designed as a continuation trigger, not a reversal signal. • Chop / Conflict: fires when no side holds the majority, a classic filter for mean-reversion systems or a stand-aside cue for trend traders. • Both generic and directional alertcondition() hooks are exposed so you can wire the map into automations. ⚙️ **Key Inputs** • Core Engine: toggle any of the three methods on or off, and tune the pivot length and momentum lookback independently. • Timeframes: four user-selected timeframes plus an optional Current row that auto-adapts to the chart TF. If the chart TF matches any selected TF, the Current row is hidden automatically to avoid double-counting. • Panel: six location presets, four text sizes (default Normal), dark or light theme, optional per-method breakdown row. • Background Tint: enable or disable, set the strong-alignment threshold (50–95%) and control transparency (70–99) to keep the chart premium. 📖 **How to Use** • Top-down confirmation: take trades on your execution timeframe only when the higher rows in the map agree with your thesis. • Regime filter: enable Regime Lock alerts to catch moments when the full map snaps into alignment — these are typical continuation windows. • Conflict filter: when the map prints SPLIT, widen stops, reduce size, or step aside; trend strategies historically underperform during these phases. • Method debugging: turn on the per-method breakdown to see which methods are driving the score and which are fighting it. ⚠️ **Limitations & Transparency** • All timeframe values are non-repainting at bar close (lookahead is disabled), but intrabar values can update until the parent bar closes — this is expected MTF behavior. • Market Structure requires enough history on each timeframe to confirm two swings; on very young assets or short charts the structure vote may be neutral until pivots print. • The map is a context tool, not a standalone entry system — combine it with your own execution logic, risk management, and bias. 📌 **Risk Disclosure** This script is provided for educational and analytical purposes only. It does not constitute financial advice, a recommendation, or a solicitation to trade any instrument. Markets involve substantial risk and past behavior does not guarantee future results. Always do your own research and manage risk responsibly.
Indicador Pine Script®
por AGProLabs
Divergence Stack Scanner [AGPro Series]Divergence Stack Scanner 🔹 Overview Divergence Stack Scanner scans five independent momentum and volume oscillators simultaneously — RSI, MACD Histogram, CCI, MFI, and OBV — and grades every confirmed pivot by how many of them show regular divergence at the same time. The result is a 0 to 5 STACK score that isolates rare, high-conviction reversal zones which single-divergence tools simply cannot surface. Most divergence indicators track one oscillator at a time. Strong reversals, however, tend to leave fingerprints across momentum and volume at once. This tool quantifies that confluence in a single, objective number you can act on. 🔸 Unique Edge What separates this script from the crowded divergence space: 1. Five-oscillator confluence in one engine — not one divergence, five divergences graded together. 2. Strict versus Window classification — a 5/5 STRICT stack (all five on the exact same pivot) is marked with a star flash, while a 5/5 WINDOW stack (all five within a small bar tolerance) is tagged separately. The distinction matters because strict stacks are statistically rarer and sharper. 3. Pressure Zones — a rectangular, SR-style zone is drawn forward from each qualifying pivot, so the reversal level stays visible long after the signal fires. 4. Rolling win-rate panel — the last N decided signals are evaluated N bars forward, and the win percentage is displayed live on the panel. 5. Per-oscillator live state — you see at a glance which oscillators are already in divergence and how long ago they triggered. 🔹 Methodology Pivots are detected using the standard TradingView pivot method with a configurable lookback (default 5 bars each side, confirmed, non-repainting). When a pivot is confirmed, the script compares the current pivot price and oscillator value to the previous same-direction pivot: - Regular bullish divergence: price prints a lower low while the oscillator prints a higher low. - Regular bearish divergence: price prints a higher high while the oscillator prints a lower high. This comparison runs independently for RSI, MACD Histogram, CCI, MFI, and OBV. Each oscillator stores the bar index of its most recent divergence. The stack engine then counts how many oscillators have fired within a tolerance window of the current pivot: - Strict stack (window = 0): all counted oscillators fired on the exact same pivot bar. - Window stack (window = 1 to N bars): oscillators fired within N bars of each other. Pressure zones are drawn only when the stack meets a configurable minimum (default 4/5). Zone height is ATR-scaled so it stays proportional across instruments and timeframes. A proximity filter prevents label clutter: once a label is drawn in a given direction, a new label in the same direction within a short window is only drawn if its stack level is strictly higher. 🔸 Signals & Alerts On-chart signals: - ★ N/5 STACK label (filled color) — strict same-bar stack at level N. - N/5 NEAR label (lighter color) — window stack (near-miss of strict). - Pressure zone rectangle — drawn forward from the pivot for qualifying stacks. Alerts available: - 5/5 Strict Stack (bull and bear, separate) — the rarest and sharpest signal. - Minimum Stack threshold — fires whenever the stack reaches your configured minimum level. All alerts use alert.freq_once_per_bar_close and include ticker plus timeframe in the message. 🔹 Key Inputs Core Engine: - Pivot Lookback — bars each side to confirm a pivot (default 5). - RSI, MACD, CCI, MFI lengths — standard defaults, all configurable. Stack Configuration: - Minimum Stack Level — display threshold (default 3/5). - Window Tolerance — bar tolerance for near-stacks (default 3). - Win-Rate Lookback — number of recent signals used for rolling win rate (default 20). - Win Evaluation Bars — forward bars to decide win or loss (default 10). Pressure Zones: - Minimum Stack for Zone (default 4/5) — keeps the chart premium and uncluttered. - Zone Extend and Height (ATR%) — tune the visual footprint to your taste. - Max Active Zones — oldest zones are automatically trimmed. Panel and Theme: - Location (6 anchors), Dark or Light theme, font size presets. - Fully brand-consistent AGPro color palette built in. 🔸 How to Use - Treat 5/5 STRICT stacks as the headline signal. They are rare by construction and typically appear at genuine inflection points. - Use 4/5 stacks as early-warning context around support, resistance, or higher-timeframe levels. - Read the per-oscillator live state on the panel. When RSI, MACD, CCI, MFI are all in the same direction and OBV is the last holdout, a full stack is often imminent. - Pressure zones work well as re-entry or invalidation levels after the initial signal fires. - The rolling win rate is a sanity check for the current asset and timeframe — if it degrades meaningfully, raise the minimum stack level or widen the pivot lookback. 🔹 Limitations and Transparency - This is a confluence tool, not a standalone trading system. Divergence by nature can persist in strong trends before any reversal. - The engine is pivot-based and therefore delayed by the pivot lookback. Labels appear on the bar the pivot is confirmed, not on the pivot itself. - Win rate is computed on the last N decided signals on the current chart. It is not a backtest, it is an evolving statistic and it does not include slippage, spread, or position sizing. - Window stacks are lower-confidence than strict stacks by design. The visual distinction is intentional. - Session-based "Today's Max" uses calendar-day rollover. 🔸 Risk Disclosure This indicator is a technical analysis tool for research and education. It is not financial advice, not a signal service, and not a trading strategy. Past patterns do not guarantee future behavior. You are solely responsible for your trading decisions, risk management, and position sizing. Always combine any indicator with independent analysis, higher-timeframe context, and strict risk controls. 🔹 Technical Notes - Pine Script v6, overlay indicator. - Fully non-repainting. All divergences are evaluated only on confirmed pivots. - Drawing objects (labels, boxes) are capped to avoid resource overruns. - MPL 2.0 licensed — open source.
Indicador Pine Script®
por AGProLabs
5
Mitigation Block Quality [AGPro Series]OVERVIEW Mitigation Block Quality grades every order-block retest as A, B, or C based on the strength, speed, and follow-through of the bounce after price returns to the block. Instead of just drawing order blocks and leaving you to guess which ones matter, the script measures each mitigation objectively and keeps a live scoreboard of how those reactions have been performing. The result is an order block tool that tells you two things at once: where the zones are, and how well price has historically respected them on the symbol and timeframe you are looking at. UNIQUE EDGE Most order-block indicators end at detection. This one begins there. Each time a block is mitigated, the script measures the reaction over a fixed window and grades the bounce by its ATR-normalized magnitude. That grade is then reflected everywhere: on the block border, in the on-chart label, in the dashboard, and in the historical success-rate statistics. You also get multi-timeframe context, confluence detection, streak tracking, and a dynamic setup banner that describes the current price-block relationship in plain English. METHODOLOGY 1. Detection. Swing pivots are identified using a configurable pivot length. The last opposite-colored candle before the pivot forms the order block. 2. Mitigation. A block is mitigated when price re-enters the zone. 3. Grading. After a fixed reaction window, the script measures the peak of the bounce and normalizes it to ATR. Grade A is a strong bounce, B is solid, C is weak. 4. Invalidation. A body close beyond the block marks it as invalidated. Invalidated blocks can be hidden or shown as a dotted reference. 5. Retirement. Blocks retire by age, by distance from price, or when the per-side cap is exceeded. FEATURES - A, B, or C grade assigned to every mitigation (ATR-normalized reaction) - Reaction trail line on Grade A mitigations showing the bounce extent - Entry marker (diamond) at the exact mitigation bar of Grade A bounces - Confluence glow when two or more blocks overlap within 0.5 ATR - Time-based opacity decay so older blocks recede and fresh ones pop - Optional pulse animation on A/B blocks while price is inside them - Price-scale labels tagging each active block's grade and side - Higher-timeframe alignment check against a configurable HTF structural bias - Dashboard panel with: active count, tested count, success (current), nearest-block state (Inside / Touching / distance in ATR), all-time success rate with stacked distribution bar, last-20 success, health progress bar, current Win/Loss streak, HTF alignment, and a dynamic setup banner SIGNALS & ALERTS Three alert conditions are provided: - Grade A Mitigation — a premium-quality bounce has been detected - Grade B Mitigation — a solid bounce has been detected - Block Invalidation — an active block has been broken These are alertconditions and can be configured from the TradingView Create Alert dialog in the usual way. KEY INPUTS - Pivot Length and Lookback: control how blocks are detected and how long they stay on the chart - Reaction Window and Grade Thresholds (A, B in ATR units): define what counts as a premium, solid, or weak bounce - Invalidation Mode: choose between body close or wick pierce - Retire Block Beyond (xATR): automatic cleanup when price moves far away - Max Active Blocks per Side and Max Visible Labels: keep the chart premium - Premium Visuals toggles: Reaction Trail, Entry Marker, Confluence Glow, Quality Heatmap row, Setup Banner, Pulse, Time Decay, Price Scale Labels, HTF Alignment, Streak row - HTF for Alignment: the higher timeframe used for multi-timeframe confluence - Panel location and theme HOW TO USE 1. Add the script to any chart and timeframe. 2. Read the panel top-down: - Last 20 breakdown tells you the recent quality regime - Nearest Block tells you how close the closest active zone is - All-time and Last 20 success tell you how reliable those zones have been - Streak gives you momentum context - HTF Alignment tells you if the bigger picture agrees - Setup banner describes what is happening right now 3. Look at the chart: - A/B/C labels on mitigated blocks tell you how those tests resolved - Reaction trails and diamonds highlight the premium Grade A mitigations - Confluence glows mark zones where multiple blocks agree 4. Use alerts to get notified when a fresh Grade A or Grade B mitigation occurs, or when an active block is invalidated. The tool is designed to help with discretionary analysis. It is not a trading system and does not generate buy or sell signals on its own. LIMITATIONS & TRANSPARENCY - Pivots are confirmed after the swing length completes, so block detection has a small structural lag. This is inherent to any pivot-based method. - Grades are assigned after the reaction window closes. A very fresh mitigation will briefly show "Active" before its grade appears. - HTF Alignment uses a 50-period simple moving average on the chosen higher timeframe as a structural bias proxy. It is a context filter, not a predictive signal. - All metrics are computed from the visible historical data on the current chart. Loading more bars will change the all-time statistics. - The script uses Pine Script v6 drawing objects. Extremely long histories on very low timeframes may hit TradingView object limits; the built-in per-side cap and distance-based retire keep this under control in normal use. RISK DISCLOSURE This script is an analysis aid, not financial advice. It does not predict future price movement and does not generate trade recommendations. Any decision to enter or exit a position is the responsibility of the user. Historical grade distributions are descriptive, not predictive. Past mitigation behavior on a symbol does not guarantee future behavior. Trade with risk capital you can afford to lose and use appropriate position sizing and stop placement. LICENSE Released under the Mozilla Public License 2.0. The full source is available on TradingView via the Open-Source badge. You are free to study and modify the code subject to the terms of the license.
Indicador Pine Script®
por AGProLabs
AlphaEngine █ ALPHAENGINE v1.0 The Adaptive Consensus Trading Algorithm Self-optimizing signal engine that runs 6 independent "Expert" sub-systems simultaneously, tracks their real-time accuracy, and dynamically adjusts their influence using an Adaptive Consensus algorithm inspired by the Multiplicative Weight Update method. The result: an indicator that learns which strategies work best in the current market — and automatically amplifies them while suppressing underperformers. All in real-time, on every single bar. Free and Open Source. █ THE 6 EXPERTS 1. Trend Expert Triple EMA alignment (Fast/Mid/Slow) combined with ADX trend strength. Detects directional bias and amplifies signals when the trend is strong. 2. Momentum Expert Blends RSI zone analysis (40%), Stochastic crossover (30%), and Rate-of-Change velocity (30%) into a single momentum score. Catches acceleration and deceleration in price moves. 3. Volume Expert On-Balance Volume trend direction combined with real-time volume spike detection. Confirms signals with institutional participation. Volume must agree with price direction for full score. 4. Volatility Expert Bollinger Band position mapping combined with ATR expansion/contraction analysis. Includes Squeeze Detection that alerts before major breakout moves. 5. Supertrend Expert ATR-based dynamic support/resistance with distance scaling. Stronger signals when price is firmly above/below the supertrend line. 6. Structure Expert Higher-timeframe EMA bias using auto-selected HTF (e.g., 1H chart checks 4H, 5m chart checks 1H). Ensures signals align with the macro trend. █ THE ADAPTIVE WEIGHTING ENGINE Unlike traditional indicators that treat all components equally, AlphaEngine tracks which experts are actually performing well in the current market conditions: Each expert's predictions are validated against real price movement A rolling accuracy score (exponential decay) measures recent performance Weights are computed as accuracy squared — creating clear differentiation Experts with high accuracy get amplified, poor performers get dampened The engine adapts to any market environment automatically In a strong trending market, the Trend and Supertrend experts naturally gain weight. In a ranging/choppy market, Momentum and Volume experts take over. The engine adapts automatically. █ SIGNAL GRADING: A/B/C A-Grade (75%+ consensus) — High quality. Strong agreement among key experts. B-Grade (60%+ consensus) — Standard. Moderate agreement. Use with additional confirmation. C-Grade (50%+ consensus) — Weak. Minimal consensus. For analysis only. Filterable via settings. Signal labels are visual: A-grade signals are larger and prominent. B/C are smaller and subtle. A minimum grade filter lets you hide weaker signals. █ RISK MANAGEMENT Take Profit + Stop Loss: TP1 — ATR-based take profit target with visual line and hit detection SL — Dynamic ATR-based stop loss, adapts to current volatility Visual checkmark when TP1 is reached, X marker when SL triggers. Both levels are always proportional to market conditions — never fixed distances. █ VISUAL FEATURES Smart Candle Coloring — 6-level gradient from deep green to deep red based on consensus strength Trend Background — Subtle gradient overlay showing macro direction Volatility Bands — Dynamic Bollinger-based bands with squeeze highlight Squeeze Detection — Diamond dots below price when volatility contracts Supertrend Line — Color-coded dynamic support/resistance EMA Lines — Optional Fast/Mid/Slow EMA visualization █ DASHBOARD Compact 10-row real-time analytics panel: Current signal + grade + consensus %, visual consensus bar, each expert's direction + rolling accuracy %, and volatility state (Squeeze/Expand/Contract/Normal). █ ALERTS (7 CONDITIONS) Signal: Buy/Sell, A-Grade Buy/Sell Risk: TP1 Hit, SL Hit Volatility: Squeeze Start █ PRO VERSION The PRO version adds: VWAP Expert — 7th expert for institutional fair-value bias with timeframe auto-scaling Trading Style Presets — Auto/Scalping/Intraday/Swing/Position/Custom with automatic parameter tuning Asset Auto-Optimization — Crypto/Forex/Stocks/Futures multipliers for volatility and volume sensitivity RSI Divergence Detection — Regular + Hidden divergences with visual labels and connecting lines S-Grade Signals — Elite setup grade (90%+ consensus) for highest probability entries Multi-Target TP — TP1/TP2/TP3 system with sequential hit detection and R:R ratio display Premium Dashboard — 17-row analytics panel with all expert weights, divergence status, and TP tracking 17 Alert Conditions — Including divergence alerts, squeeze breakout, trend flip, and grade-specific triggers █ NON-REPAINTING All calculations use standard non-repainting indicators (EMA, RSI, ADX, ATR, OBV, Stochastic, Bollinger Bands). Multi-timeframe data uses confirmed prior-bar values. No repainting. █ WORKS ON Crypto, Forex, Stocks, Futures, Indices, Commodities and Bonds — any timeframe from 1 second to Monthly. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. No indicator can predict market movements with certainty. Always implement proper risk management. Use this tool as one component of a comprehensive trading strategy, not as a standalone decision-making system.
Indicador Pine Script®
por alphachart_tv
Bot Webhook v8.5 - RSI Stoch Squeeze Regime Detection🔹 Multi-Timeframe Confluence Signal System v8.5 for SOL/USD A data-driven signal indicator optimized for SOL perpetual futures across 30+ timeframes (30s to 20m). Every threshold has been backtested and fine-tuned using real trade data (2,100+ signals analyzed). ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔸 HOW IT WORKS The indicator combines multiple technical layers into a single confluence system: - RSI + Stochastic K — Timeframe-specific oversold/overbought thresholds (not one-size-fits-all) - RSI Slope — Momentum direction filter - ADX — Trend strength gating to avoid choppy markets - Bollinger Band / Keltner Channel Squeeze — Detects volatility compression and breakout moments (SHORT side only, proven 53.8% hit rate with 1.39x R/R) - Volatility Regime Detection — Classifies market state (Trending, Ranging, Squeeze Building, Breakout Imminent) with automatic WEAK_UP blocking - Dynamic Confidence Scoring — Each signal gets a 0–100% confidence rating based on regime, indicators, and historical win rate ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔸 KEY FEATURES ✅ 30+ individually calibrated timeframes (30s, 45s, 1m–20m) ✅ Separate LONG & SHORT logic with independent RSI/K/Slope/ADX thresholds per timeframe ✅ Squeeze SHORT signals (Keltner breakout + bearish momentum + volume spike) ✅ Regime-aware filtering — blocks signals in unfavorable market conditions ✅ Confidence-based signal filtering (adjustable minimum threshold) ✅ Full info dashboard (regime, squeeze status, indicators, win rates, signal state) ✅ JSON webhook alerts with complete trade metadata (entry, SL, TP, ATR, regime, confidence) ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔸 VERIFIED PERFORMANCE (from 2,100+ signal analysis) 📊 LONG base signals: 68.2% hit rate, 1.48x risk/reward 📊 Squeeze SHORT signals: 53.8% hit rate, 1.39x risk/reward 📊 Best performing timeframes: 30s, 45s, 12m+ ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔸 VISUAL GUIDE 🟢 Green triangle = LONG signal 🔴 Red triangle = SHORT signal 🟣 Purple diamond = Squeeze SHORT signal 🟡 Yellow background = Squeeze zone active 📊 Top-right table = Live dashboard with all indicator values ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔸 WEBHOOK / BOT INTEGRATION Alerts output JSON with full trade context — ready for automated bot integration via webhook. Includes entry, stop loss, take profit, ATR, RSI, regime, confidence score and more. ━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER This indicator is a tool for analysis, not financial advice. Past performance does not guarantee future results. Always manage your risk. ━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 Want to fully automate these signals? Check out FuturesBot — an automated crypto futures trading bot that executes signals like these 24/7 with smart profit protection, position management, and AI-powered trade validation. 👉 futuresbot.de
Indicador Pine Script®
por jura1986
AG Pro HTF Bias Dashboard [AGPro Series]AG Pro HTF Bias Dashboard Overview / What it does AG Pro HTF Bias Dashboard is a higher-timeframe context tool built for traders who want a fast, structured view of directional conditions across multiple larger timeframes without crowding the chart with extra signals, zones, or decision noise. The script summarizes higher-timeframe bias in a compact dashboard and presents each selected row as Bull, Bear, or Neutral, together with a mode-specific status readout. The goal is not to predict the next candle or replace a full trade plan. The goal is to make larger-timeframe context easier to read at a glance. This indicator is designed to answer a simple but important workflow question: "What is the broader directional environment across the higher timeframes I care about right now?" Instead of forcing the user to manually flip through multiple charts and compare structure or trend conditions one by one, the dashboard keeps that information visible in a single panel. The script supports multiple bias engines so the same dashboard can be adapted to different styles of chart reading. Users can evaluate higher-timeframe context through EMA Stack alignment, confirmed Swing Structure, SuperTrend direction, or MACD Momentum agreement. This makes the tool flexible enough for trend-following traders, structure-based traders, and users who prefer momentum-style confirmation. Unlike many overlays that try to combine entries, exits, alerts, pattern detection, and signal generation inside one study, this script stays focused on one task: higher-timeframe directional context. That single-purpose design is intentional. It keeps the output clean, readable, and easier to integrate into an existing process. Unique Edge The main strength of this script is not signal generation. Its edge is structured context compression. Instead of plotting a large number of higher-timeframe elements directly on the chart, AG Pro HTF Bias Dashboard converts higher-timeframe conditions into a compact visual matrix. This makes it possible to assess multi-timeframe agreement quickly while keeping the chart itself relatively clean. A second differentiator is the ability to switch the bias engine. The dashboard is not locked to one interpretation framework. Users can work with: - EMA Stack, for ribbon-style alignment - Swing Structure, for confirmed HH/HL and LH/LL progression - SuperTrend, for ATR-based directional trend state - MACD Momentum, for momentum agreement between line, signal, and histogram Another important detail is the higher-timeframe validity filter. Rows that are not actually higher than the current chart timeframe are marked as Lower/EQ instead of being treated as valid higher-timeframe context. This helps keep the dashboard aligned with its intended purpose. The script also includes confluence logic, so the user can see not only the state of each row, but also the dominant higher-timeframe bias and how many valid rows support that direction. In practice, this helps users distinguish between broad directional agreement and mixed conditions. Methodology The dashboard can display three to five higher-timeframe rows, depending on user settings. Each row evaluates one selected timeframe and classifies it into Bull, Bear, or Neutral. Bias Mode options: 1) EMA Stack This mode evaluates directional alignment using a three-EMA structure. A bullish state requires price and the EMA ribbon to be aligned in bullish order. A bearish state requires the opposite alignment. When the full sequence is not aligned, the row can remain neutral and display a partial status such as 2/3 or 1/3 rather than forcing a directional label. 2) Swing Structure This mode uses confirmed pivot logic to read higher-timeframe structure. It looks for confirmed higher highs / higher lows or lower highs / lower lows, and then evaluates position relative to the active swing range. Because this logic depends on confirmed pivots, structure changes are naturally more selective and may appear later than faster trend models. 3) SuperTrend This mode reads directional state using an ATR-based trend framework. It is intended for users who prefer a cleaner directional state model rather than ribbon alignment. 4) MACD Momentum This mode classifies bias through agreement between the MACD line, signal line, and histogram. It is useful for traders who prefer momentum confirmation over structure or moving-average ordering. The dashboard then calculates: - the number of valid bullish rows - the number of valid bearish rows - the dominant higher-timeframe state - the confluence count across valid rows Optional chart context features are also included. Depending on settings, the script can color candles according to the active chart bias, plot the active EMA ribbon or SuperTrend on the chart, apply a subtle background tint when confluence is strong enough, and show a compact mini context tag on the chart. States / Context Output This indicator is a context dashboard, not an alert engine. It does not generate buy or sell alerts, does not mark trade entries, and does not claim to identify optimal execution points. Its outputs are state-based and contextual: - Bull - Bear - Neutral - Confluence summary - Mode-specific status text The mini chart tag, when enabled, is only a compact summary of dominant higher-timeframe direction and current confluence. It should be read as context, not as a trade instruction. Key Inputs Higher Timeframes Users can select three to five rows and define the exact higher timeframes to monitor. Bias Mode Choose between EMA Stack, Swing Structure, SuperTrend, and MACD Momentum. Engine Parameters The script exposes relevant inputs for each engine, including EMA lengths, Swing Strength, SuperTrend ATR settings, and MACD settings. HUD Controls The panel position and panel scale can be customized so the dashboard can fit different layouts and chart styles. Style Controls Users can adjust theme and directional colors for bullish, bearish, and neutral states. Chart Context Controls Optional features include candle coloring, active indicator plotting for EMA / SuperTrend, strong-confluence background tinting, mini context tag visibility, tag anchor, tag offset, and tag font size. Limitations & Transparency This script is not a prediction model. It summarizes directional context from user-selected higher-timeframe logic. Higher-timeframe tools can update only when data from those larger intervals updates. Because of that, the dashboard should be understood as a context layer rather than a real-time trigger engine. Swing Structure mode uses confirmed pivots. That means structure changes may appear later than faster directional methods, because confirmation requires completed pivot information. Neutral states do not necessarily mean the market is untradeable. They simply indicate that the selected bias engine does not currently show clear directional alignment under the chosen rules. The confluence count is a summary statistic, not a quality score. A larger number of aligned rows does not automatically mean a better trade. It only means more selected higher-timeframe rows currently point in the same direction. Rows marked Lower/EQ are excluded from valid higher-timeframe confluence because they are not above the active chart timeframe. This script is intended to support discretionary analysis and chart organization. It should be combined with the user’s own execution framework, risk model, and market understanding. Risk Disclosure This indicator is provided for analysis and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes. Market conditions can change quickly, and no single indicator or dashboard can remove uncertainty from trading or investing. Users should evaluate higher-timeframe context together with price action, liquidity, volatility, risk management, and their own decision process. Past behavior, historical alignment, or current confluence does not guarantee future performance.
Indicador Pine Script®
por AGProLabs
3
AG Pro Auto Supply & Demand Zones [AGPro Series]AG Pro Auto Supply & Demand Zones Overview / What it does AG Pro Auto Supply & Demand Zones is an overlay that automatically detects supply and demand areas by combining compact base structures with directional displacement. The script is designed to help traders track where price left an area with enough urgency to justify keeping that zone on the chart for future reference, while also showing how that zone evolves over time. Instead of plotting every possible reaction area, the script applies a structured lifecycle model. A newly created zone begins as Fresh, can transition to Tested after a qualifying retest, and can later become Expired when it no longer meets the active criteria selected by the user. This state-based approach makes the chart easier to interpret because zones are not treated as static drawings. They are continuously re-evaluated as price interacts with them. The script also distinguishes between proximal and distal boundaries so users can see both the near edge and the full depth of each zone. A built-in active-zone limit helps keep the chart under control, and older zones gradually fade through time-based opacity reduction. This allows recent and decision-relevant areas to remain visually stronger while historical context becomes lighter. A light higher-timeframe overlay is included for users who want broader context without turning the chart into a dense multi-timeframe map. The goal is not to overwhelm the screen with background structure, but to add a subtle layer of alignment when higher-timeframe supply or demand remains relevant to the current price area. Unique Edge The distinctive feature of this script is that it does not stop at zone creation. It manages the full visual and logical lifecycle of a zone. Fresh, Tested, and Expired states are tracked in an explicit way, which makes the output more practical than a simple box-drawing tool. A second differentiator is the same-side merge logic. When a newly detected zone forms too close to an existing zone on the same side, the script can refresh or merge that area instead of stacking nearly identical layers on top of one another. This helps reduce redundancy and produces a cleaner, more readable structure map. Another important edge is the visibility architecture. Users can choose between All, Balanced Focus, and Smart Focus modes. This allows the chart to stay informative without becoming overloaded. Nearest active zones can be emphasized, distant context can be softened, and labels can be kept minimal, balanced, or fully expanded depending on the preferred workflow. Methodology The script uses a base-plus-displacement framework. 1. Base detection A candidate zone begins with a compact base cluster. The script evaluates the total base range relative to ATR and can also apply a clean-wick filter so that noisy or overly volatile bases are filtered out. 2. Displacement confirmation After the base, the script looks for directional expansion. The displacement candle must satisfy body-size conditions relative to ATR and must close with sufficient directional conviction. This is intended to avoid weak breaks that do not clearly separate from the base. 3. Zone construction For demand zones, the script builds the area using the base body high as the proximal reference and the base low as the distal boundary. For supply zones, it uses the base body low as the proximal reference and the base high as the distal boundary. This gives the user both the near decision line and the full zone range. 4. Lifecycle tracking A zone is initially Fresh. Once price revisits it under the selected confirmation mode, it can become Tested. If retests exceed the permitted limit, or if the user enables distal close-break invalidation, the zone can transition to Expired. 5. Zone maintenance The script can merge overlapping same-side zones, cap the total number of active zones, reduce opacity as zones age, and selectively hide distant context based on the selected visibility profile. 6. Light higher-timeframe context When enabled, the script projects a restrained higher-timeframe supply and demand layer onto the current chart. This is intended as context, not as a replacement for the active zones detected on the chart timeframe. Signals & Alerts This script includes alert support for key state events: - New Demand Zone - New Supply Zone - Fresh Demand Touched - Fresh Supply Touched - Demand Zone Expired - Supply Zone Expired These alerts are designed to follow the script's zone-state logic rather than subjective interpretation. Users can enable or disable zone-creation alerts, fresh-touch alerts, and expiration alerts independently. Key Inputs Detection Base Bars controls how many candles are used to form the base. Base Range ATR Factor defines how compact the base must remain relative to ATR. Max Single Base Candle ATR Factor limits oversized candles inside the base. Displacement Body ATR Factor controls the minimum strength required for displacement. Displacement Close Location checks whether the displacement candle closes with directional commitment. Use Clean Base Wick Filter helps reduce noisy base formations. Zone Management Merge Nearby Same-Side Zones helps avoid repeated stacking of almost identical zones. Minimum Same-Side Separation ATR defines how close a new zone can be to an existing same-side zone before merge logic becomes relevant. Minimum Zone Overlap Ratio requires stronger overlap before two nearby zones are treated as one structure. Lifecycle Max Active Zones limits how many active zones remain on the chart. Max Tests Before Expire controls how many qualified retests a zone can absorb before it expires. Test Confirmation offers Touch, Penetration, and Close Inside modes. Min Test Penetration Ratio refines how deep price must move into a zone when Penetration mode is selected. Expire On Distal Close Break can invalidate a zone when price closes beyond the distal boundary. Visuals Show Proximal Line and Show Distal Line let users control boundary visibility. Zone Visibility allows All, Balanced Focus, or Smart Focus workflows. Keep Nearest Active Zones Per Side helps preserve immediate context. Highlight Nearest Zones strengthens the most decision-relevant zones. Label Mode, Label Size, Label Right Offset Bars, and Label Spacing ATR control how zone labels are displayed. Light MTF View Enable Light MTF View activates higher-timeframe context. MTF Timeframe selects the higher timeframe. MTF Fill Transparency and MTF Context Bars help keep the overlay subtle. Panel The summary panel can be shown or hidden. Panel Theme, Panel Location, and Panel Font Size allow adaptation to different chart layouts and visual preferences. How to use it Many users will treat this script as a context and reaction map rather than as a standalone entry model. A common workflow is: - identify the nearest active demand and supply zones, - check whether the zone is Fresh or already Tested, - observe whether current price is approaching the proximal boundary or already trading deeper inside the zone, - use the light higher-timeframe layer for context, - then combine the zone information with personal confirmation tools such as structure, momentum, candle behavior, or risk rules. Fresh zones may be more interesting when they align with trend context or with a relevant higher-timeframe area. Tested zones can still matter, but their interpretation should usually be more selective because the zone has already been revisited. Limitations & Transparency This script detects supply and demand zones through a rules-based base and displacement model. It does not claim to identify every meaningful reaction area on a chart, and it does not attempt to label institutional intent, order flow, or smart-money behavior as a certainty. The quality of a zone depends on the selected settings, the volatility profile of the market, and the timeframe being analyzed. A more permissive configuration will naturally surface more zones, while a stricter configuration will produce a cleaner but narrower map. No single setting profile is optimal for every instrument. The higher-timeframe overlay is intentionally lightweight. It is designed to provide context, not to replace full top-down analysis. Likewise, a Fresh or Tested label should not be treated as a guarantee of reaction. It is simply the script's state classification based on the selected confirmation logic. This tool is best understood as a structured charting aid. It helps organize zone detection, lifecycle tracking, and visual prioritization. It does not remove the need for trade selection, confirmation, execution discipline, or risk management. Risk Disclosure This indicator is for chart analysis and educational use only. It does not provide financial advice, investment recommendations, or guaranteed outcomes. Markets can move through supply and demand zones without reacting, can partially react and fail, or can produce false confirmations. Always test settings carefully, evaluate the script in the context of your own process, and use proper risk management before making trading decisions.
Indicador Pine Script®
por AGProLabs
24
AG Pro Pivot Cluster Survival Map [AGPro Series]AG Pro Pivot Cluster Survival Map Overview / What it does AG Pro Pivot Cluster Survival Map is an overlay tool that evaluates the durability of nearby pivot clusters rather than focusing on a single pivot reaction. The script groups Daily, Weekly, and Monthly Classic Pivot levels when they compress into the same price neighborhood, then measures how well that cluster has held up under repeated interaction. The goal is not to label every pivot touch as strong or weak. The goal is to show whether a pivot-derived zone has continued to absorb pressure, remain structurally relevant, or lose stability over time. This makes the script suitable for users who want to monitor confluence-based pivot structure instead of isolated one-bar reactions. The visual model is intentionally compact. The script highlights the nearest upper cluster and the nearest lower cluster, assigns a survival score to each side, and displays a pressure readout for the dominant active zone. The result is a map of pivot-cluster durability, not a generic support/resistance overlay and not a simple reaction detector. Unique Edge The distinguishing feature of this script is its focus on pivot-cluster survival. Many pivot tools concentrate on one level at a time. Many reaction tools classify the immediate response after a touch, reclaim, or rejection. This script approaches the problem differently. It asks whether multiple pivot levels from different higher timeframes are compressing into the same zone, and whether that zone is still surviving repeated market interaction. That difference matters. This script does not score a single bounce. It does not try to predict a reversal from one isolated pivot event. It evaluates whether a pivot cluster remains durable after tests, inside-zone pressure, breaches, and time spent without structural failure. Within the AG Pro catalog, this script is materially different from AG Pro Pivot Points Reaction Map. Pivot Points Reaction Map is centered on reaction quality at pivot levels. Pivot Cluster Survival Map is centered on cluster durability, confluence density, and survival under pressure. In other words, one evaluates the response; the other evaluates the staying power of the pivot cluster itself. It is also different from broader level-survival or support/resistance tools because the source engine here is explicitly pivot-derived. The script is built around Daily, Weekly, and Monthly Classic Pivot families, then transformed into a confluence-survival framework. Methodology The current version uses Classic Pivot calculations from higher timeframes. 1. Daily, Weekly, and Monthly pivot levels are collected. 2. Nearby pivot levels are grouped into clusters when they fall within the active cluster width. 3. The script selects the nearest upper cluster and the nearest lower cluster relative to current price. 4. Each selected cluster is evaluated with a survival model. The survival model is based on factors such as: - cluster density - higher-timeframe participation - repeated tests - rejection behavior - inside-zone pressure - breach frequency - time since structural failure A higher survival score suggests that the cluster has remained more durable under recent interaction. A higher pressure reading suggests that the cluster is experiencing more structural stress. The chart display is intentionally selective. Instead of plotting every pivot line independently, the script concentrates on the nearest relevant clusters and presents them as zones with a backbone line and state label. This is designed to keep the structure readable. States / Signals The script uses state-based interpretation rather than directional promises. Typical state classifications include: - Stable - Strengthening - Balanced - Under Stress - Fragile - Failed These states are derived from the relationship between survival and pressure. They are meant to describe the condition of the cluster, not to issue a guaranteed trading outcome. The panel summarizes: - nearest upper cluster - nearest lower cluster - dominant survival side - cluster pressure - pivot mix currently included in the model The script can also generate alert conditions for: - cluster strengthening - cluster failure - cluster reclaim behavior These alerts are deterministic conditions derived from the script logic. They are informational and should be interpreted within a broader market workflow. Key Inputs Pivot Formula This version is intentionally limited to Classic Pivots in order to keep the clustering and scoring model consistent. Include Daily / Weekly / Monthly These settings control which higher-timeframe pivot families are included in the cluster engine. Cluster ATR Width Controls how aggressively nearby pivot levels are merged into the same cluster using ATR-based spacing. Cluster Percent Width Adds a percentage-based width floor so clusters remain practical across different price scales. Minimum Levels Per Cluster Controls how many pivot levels are required before a true cluster is recognized. Survival Lookback Defines the observation window used for the durability calculations. Visual Controls The script includes settings for cluster visibility, labels, backbone lines, panel location, and font sizes. Limitations & Transparency This script is a structural reading tool. It is not a prediction engine. A high survival score does not guarantee that price will reverse, hold, or trend from that area. A low survival score does not guarantee immediate failure. The values should be read as condition metrics for pivot-derived zones. Because the script groups pivot levels into clusters, output can vary depending on volatility, symbol characteristics, and timeframe context. On some symbols, one side may show a stronger cluster than the other. On some charts, one side may temporarily rely on a weaker fallback anchor when cluster density is limited. This script does not attempt to replace market structure analysis, higher-timeframe context, liquidity analysis, or risk management. It is intended to organize pivot confluence into a readable survival framework. What this script is not: - not a buy/sell signal engine - not a guarantee of support or resistance - not a standalone trade system - not a future-price prediction model Risk Disclosure This script is for chart analysis and decision support only. It does not provide financial, investment, or trading advice. Markets can move unpredictably, and no indicator can eliminate risk. Users should evaluate signals, states, and cluster conditions together with their own process, timeframe alignment, and risk controls before making any decision.
Indicador Pine Script®
por AGProLabs
1
Multi-Factor Regime Scoring & Alerts [HYPR-run]DESCRIPTION: Composite regime scoring system that fuses eight independent market dimensions into a single normalized Regime Factor (-1 to +1). The sweet spot is the +/-0.2 zone: when the Regime Factor crosses through this zone (dim white circles on chart), the regime just shifted from one side to the other through neutral. That crossover, with the HMA-smoothed Regime Curve sloping in the same direction, is the highest-conviction entry the composite produces. The alerts are built around this: Regime Pivot fires at +/-0.25 with volatility band confirmation. DISCOVERING EDGE Pursuing a mechanical edge in entry/exit timing, confirmation and conviction sizing led us to developing an oscillating expression of most of the key criteria we use in building automated strategies. We discovered there is a sweet-spot for higher conviction trades in the +/-0.2 - .+/-0.3 zone. For example if a SFP presents, waiting for the REGIME Factor to enter the zone has a higher probability of trending than if taken earlier. In addition, for earlier reversion trades, XO/XU the outer most levels of +/-0.6 are excellent early entries when following a disciplined sizing methodology. EIGHT SCORING DIMENSIONS 1. Macro Pivot (+/-10): ROC regime exhaustion into inflection 2. ROC Filter (+/-9): layered rate of change momentum states 3. ADXVMA (+/-9): adaptive trend direction with regime gradient 4. OBVIX (+/-5): on-balance volume, volatility, and trend composite 5. Convergence (+/-7): multi-timeframe alignment across 7 timeframes 6. Mean Reversion (+/-10): blow-off detection and spike revert signals 7. Levels (+/-8): positioning relative to 50d, 200d, 10w moving averages 8. Mechanical Hold (+/-5): price action hold signals with squeeze detection Macro pivot and mean reversion (+/-10 each) are the heaviest. When both fire in the same direction, they swing the composite by nearly a third of its total range. HOW TO USE Add to chart, adjust ADXVMA and Turtle periods to match your setup. Read the Regime Factor, not the price. Above +0.6 = strong bullish; XO/XU these levels for early starter positions. Below -0.6 = strong bearish. The +/-0.2 zone is the sweet spot: crossovers here (dim white circles) mark high-probability entries or confirmation to other set-ups like an SFP. The Regime Curve shows the trend of the regime itself; when the curve slopes against the score, the regime is decelerating. When the composite is ambiguous (between 0.2 and 0.6), the dashboard tells you why. Macro pivot green but ROC filter yellow = inflection detected, momentum hasn't confirmed. Convergence bright green but ADXVMA yellow = multi-TF aligned but local MA still flat. CROSS-DIMENSIONAL READS The power is reading 2-3 dashboard rows together: - Macro pivot firing while ROC filter still green = earliest warning of trend exhaustion - "Macro Lc confirmed" + convergence at +5 or higher = highest-conviction reversal entry - ADXVMA "Early Bull" + convergence at +5 = trend birth signal - Convergence at +7 = strongest trend confirmation AND trigger for mean reversion detection. Maximum agreement = maximum overextension risk - "Blow-Off" + "Hodl S" = hold confirmed but reversion loading against you; tighten - "Legit Squeeze" + "Chopperoni" + convergence +/-5 = compressed energy, directional break coming - Regime Factor +0.7 but Curve flattening = regime decelerating; leading signal of rollover ALERTS Regime Pivot fires when the Regime Factor crosses +/-0.25 with volatility band confirmation; solid arrows on chart. Built around the sweet spot: fires at the regime shift, not after the move has run. Spike Revert fires on mean reversion after blow-off; counter-trend edge from extreme overextension. Toggle each independently. For notifications without webhooks: condition = this indicator, "Any alert() function call", select push/email/popup. For webhook execution: paste endpoint URL, set Open-ended, create. REGIME FACTOR THRESHOLD ZONES +0.6 to +1.0 strong bullish (solid green hline) +0.2 to +0.6 moderate bullish (dotted line) -0.2 to +0.2 sweet spot entries (dim white circles); XO/XU here -0.6 to -0.2 moderate bearish (dotted line) -1.0 to -0.6 strong bearish (solid red hline) DASHBOARD (9 rows) 1. MACRO PIVOT - Green: Pivoting ↑, Lc ↗ (confirmed), L In Play ↗. Red: inverse. Black: neutral. 2. ROC FILTER - Bright Green: Momentum ↑. Green: Trending ↗ / Rolling Over ↓. Yellow: Continuation / Stage 1 / Reversion. Orange: Exhaustion. White: Sideways. Red/Bright Red: inverse. 3. ADXVMA - Green: D Trend ↗, Trending ↗, Early Bull. Yellow: Pivoting, Consolidation, Chopperoni. Red: inverse. 4. OBVIX - Green: positive. Red: negative. Black: flat. 5. CONVERGENCE - Bright Green: All Lined Up ↑ (7/7). Gradient green: +5 to +6. Dim: +3 to +4. Black: near 0. Red gradient: inverse. 6. MEAN REVERSION - Yellow: Blow-Off, High Potential, Possible. Green: Spike Revert ↑ / MR In Play ↗. Red: inverse. 7. LEVELS - Green: Bouncing key MAs, XO events. Red: Rejecting, XU events. MA combo: above/below 50d, 100d, 200d + 10w anchor. 8. MECHANICAL HOLD - Squeeze gradient: Legit Squeeze / Squeezing. Green: Hodl L. Red: Hodl S. Black: Get Ready / Neutral. 9. REGIME FACTOR - Composite score with gradient color and numeric display. CREDITS ADXVMA: Linnsoft ADX: J. Welles Wilder (1978) VIDYA: Tushar S. Chande, TASC March 1992 Advance/Decline gradient: LucF Turtle breakout concept: Richard Donchian
Indicador Pine Script®
por HYPR-run
Meridian Zones [JOAT]Meridian Zones Introduction Meridian Zones is an advanced open-source session analysis engine built for traders who structure their trading around the Asia, London, and New York sessions. Unlike typical session indicators that clutter the chart with dozens of lines and levels, Meridian Zones takes a deliberately clean approach: session boxes, killzone backgrounds, session-colored candles, and precise liquidity sweep labels live on the chart, while all analytical depth lives in a fully-populated 15-row dashboard. The result is a chart that remains readable at any zoom level while giving you institutional-grade session intelligence at a glance. The indicator tracks session ranges, calculates session VWAP, monitors volume distribution across sessions, detects liquidity sweeps with wick filtering and cooldown logic, flags volume spikes, grades institutional candles, and reports previous day high/low positioning — all without drawing a single horizontal line on the chart. Why This Indicator Exists Session-based trading is a cornerstone of institutional methodology. The Asia session establishes a range, London often breaks that range with directional intent, and New York either continues or reverses the London move. Understanding which session is dominant, where sweeps occur, and how volume distributes across sessions gives traders a significant edge. Most session indicators fall into two traps: either they are too simple (just drawing boxes) or too cluttered (drawing session highs, lows, midpoints, opens, VWAP lines, and previous session levels all on the chart simultaneously). Meridian Zones avoids both by: Drawing only the essential visual elements on the chart — session range boxes, killzone background shading, and labeled signals Moving all analytical data into a comprehensive dashboard where it can be read without visual noise Adding features that most session indicators lack entirely: session VWAP calculation, volume-weighted session dominance, institutional candle detection within sessions, and precise liquidity sweep identification with ATR-based wick filtering Core Session Engine Sessions are defined by UTC hour ranges (all configurable): Asia: 00:00 - 08:00 UTC (default) London: 08:00 - 16:00 UTC (default) New York: 13:00 - 21:00 UTC (default) The indicator detects session opens and closes, tracks high/low/volume/VWAP within each session, and draws range boxes when sessions close. A timeframe filter ensures the indicator only displays on charts where session analysis is meaningful (up to 4H by default). Session overlap (London + NY) is automatically detected and reported in the dashboard, as overlap periods often produce the highest-volume, most directional moves of the day. Session Tracking and Analytics For each session, the indicator calculates and tracks: Session Range: High and low of the session, displayed as a colored box Session VWAP: Volume-weighted average price calculated from session open, updated every bar. This is the true institutional fair value for the session — not a simple midpoint Session Momentum: The ratio of bullish candles to total candles within the session, giving a quick read on directional bias Session Volume: Total volume accumulated during the session, used for dominance and volume leader calculations Session Open/Close Prices: Used to determine session bias (bullish if close > open, bearish if close < open) Liquidity Sweep Detection One of the most valuable features is the precise liquidity sweep detector. A sweep occurs when price wicks beyond a session high or low and closes back inside — this is institutional stop hunting. The sweep detector uses two filters to avoid false signals: ATR Wick Filter: The wick beyond the session level must exceed a configurable ATR multiple (default 0.4x ATR). This eliminates tiny wicks that barely touch the level. Cooldown Timer: After a sweep is detected, no new sweep can fire for a configurable number of bars (default 8). This prevents multiple labels from stacking on the same sweep event. Sweep labels are color-coded: bullish sweeps (wicking below and closing above) in teal, bearish sweeps (wicking above and closing below) in rose. Volume Spike Detection When volume exceeds the session's average volume by a configurable multiplier (default 2.0x), a volume spike flag appears. Volume spikes during sessions often coincide with institutional order execution and can confirm the validity of a sweep or directional move. Institutional Candle Labels Candles with a body-to-range ratio exceeding the threshold (default 75%) are flagged as institutional candles. These are large-bodied, low-wick candles that indicate strong directional conviction — the kind of candles that institutions create when executing large orders. Session-Colored Candles When enabled, candles are tinted by the active session: gold for Asia, blue for London, rose for New York. This provides an instant visual reference for which session produced each candle, making it easy to see session transitions and overlap periods on the chart. 15-Row Dashboard The dashboard is the analytical heart of the indicator. Every cell is populated — no empty rows. It displays: Row 1: Active Session — Which session is currently active, or "OFF" between sessions Row 2: Overlap Status — Whether London and NY are overlapping Row 3-5: Session Ranges — Asia, London, and NY ranges in price with pip/point size Row 6-8: Session Bias — Bullish/Bearish for each session based on open vs close Row 9: Dominance — Which session has the largest range (the "dominant" session) Row 10: Volume Leader — Which session has the highest total volume Row 11: VWAP Position — Whether current price is above or below the active session's VWAP Row 12: Range/ATR — Current session range as a multiple of ATR (shows how extended the session is) Row 13: PDH/PDL — Previous Day High and Low with current price position relative to them Row 14: Candle Quality — Current candle's body ratio and institutional grade Row 15: Sweep Radar — Most recent sweep direction and how many bars ago it occurred Input Parameters Session Definitions (UTC): Asia Start/End Hour (default 0/8) London Start/End Hour (default 8/16) NY Start/End Hour (default 13/21) Features: Show Session Boxes, Killzone Background, Session-Colored Candles, Session Open Markers Show Liquidity Sweeps, Volume Spike Markers, Institutional Candle Labels, Dashboard Sessions to Keep (default 3) — how many past session boxes remain on chart Sweep Min Wick ATR multiplier (default 0.4), Sweep Cooldown bars (default 8) Volume Spike Multiplier (default 2.0), Institutional Candle Body % (default 75%) Timeframe Filter: Show Up To (default 4H) — prevents the indicator from displaying on higher timeframes where session analysis is not meaningful How to Use This Indicator Step 1: Identify the Dominant Session Check the dashboard for which session has the largest range and highest volume. The dominant session sets the directional tone for the day. Step 2: Watch for Asia Range Breaks London often breaks the Asia range. When London's first move sweeps the Asia high or low, the sweep label confirms the liquidity grab. The direction of the break often sets the trend for the day. Step 3: Monitor Overlap Period The London-NY overlap (typically 13:00-16:00 UTC) produces the highest volume and most decisive moves. Volume spikes during overlap are particularly significant. Step 4: Use VWAP Position for Bias If price is above the session VWAP, institutional flow is net bullish for that session. Below VWAP, net bearish. The dashboard shows this in real-time. Step 5: Confirm with Institutional Candles When a sweep occurs and is followed by an institutional candle (large body, high volume), the move has strong institutional backing. Step 6: Reference PDH/PDL Previous Day High and Low are key institutional levels. The dashboard shows whether price is above PDH (bullish), below PDL (bearish), or between them (range-bound). Limitations Session analysis is most relevant on intraday timeframes (1m to 4H). The timeframe filter prevents display on higher timeframes, but users should understand that session dynamics are inherently intraday concepts. UTC-based session times may need adjustment for instruments that trade in different time zones or have non-standard trading hours. Volume data quality varies by instrument. Forex volume on TradingView is tick volume, which approximates but does not equal true institutional volume. Session VWAP resets at each session open. It is not a continuous daily VWAP. Sweep detection relies on wick analysis, which can produce false signals in extremely volatile or illiquid conditions. The indicator shows session dynamics, not price predictions. A bullish session bias does not guarantee price will continue higher. Originality Statement This indicator is original in its clean-chart, dashboard-heavy approach to session analysis. While session boxes and killzone backgrounds exist in other indicators, this indicator is justified because: It deliberately separates visual elements (chart) from analytical data (dashboard), solving the clutter problem that plagues most session indicators Session VWAP calculation per session provides institutional fair value that simple midpoint calculations cannot match The liquidity sweep detector uses dual filtering (ATR wick threshold + cooldown timer) for precision that basic "price crossed level" detection lacks Volume-weighted session dominance and volume leader tracking provide insights into which session is driving the market — information not available in standard session indicators Institutional candle grading within sessions identifies the specific candles where large orders were executed The 15-row dashboard presents all session analytics simultaneously with zero empty cells, creating a true session command center The combination of session boxes, sweep detection, volume spikes, institutional candle grading, and comprehensive analytics in a single clean-chart indicator is not available in existing public scripts Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Session analysis reveals historical patterns in how different trading sessions behave. Past session patterns do not guarantee future session behavior. Market conditions, news events, and institutional positioning can cause sessions to behave atypically at any time. Always use proper risk management. Never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Triple Derivative EngineMost momentum indicators tell you where the price is. The Triple Derivative Engine tells you how fast it's getting there, whether that speed is increasing or fading, and whether the acceleration itself is changing direction — three layers of motion analysis extracted from a single smoothed price signal, all normalized to a common ±100 scale so every layer is directly comparable at a glance. How It Works Step 1 — Smoothing Raw price is too noisy to differentiate reliably. TDE first passes your source through one of three selectable filters to extract the underlying motion curve before computing any derivatives. Savitzky-Golay (default) fits a 2nd-order polynomial to a moving window of bars using Gram polynomial coefficients. Unlike a moving average, it preserves the shape of peaks and troughs rather than smoothing them away. Window sizes of 5, 7, 9, 11, 13, and 15 are supported, each with exact integer coefficients — no approximation. This gives the best phase response of the three filters: signals appear earlier and with less distortion. Gaussian weights each past bar by a bell-curve function of its distance from the current bar. Sigma controls how quickly the weights fall off. Softer and more trailing than SG, useful when you want a cleaner curve at the cost of a slight lag. Kalman is a single-state recursive filter that continuously estimates the "true" price by balancing how much it trusts the new measurement (R) versus how much the underlying process is expected to move (Q). It adapts bar-to-bar, making it the most responsive of the three with the least lag, but also the most sensitive to sharp moves. Step 2 — Finite Difference Derivatives Once the smoothed signal sm is computed, three derivatives are calculated using standard finite difference formulas: Velocity (1st derivative): sm − sm — the rate of change of price. Positive means price is rising, negative means it is falling. The magnitude tells you how fast. Acceleration (2nd derivative): sm − 2·sm + sm — the rate of change of velocity. Positive means momentum is building; negative means it is fading, even if price is still moving in the same direction. Jerk (3rd derivative): sm − 3·sm + 3·sm − sm — the rate of change of acceleration. A leading indicator of acceleration reversals. When jerk crosses zero, acceleration is about to change direction. Step 3 — Normalization Each derivative is divided by its rolling peak absolute value over the normalization lookback window, then scaled to ±100. This keeps all three series on the same axis and comparable to each other, regardless of the instrument's price level or volatility. A velocity reading of +80 and an acceleration reading of +80 carry equivalent relative meaning within their own histories. Signals Zero Crosses Every time a derivative crosses the zero line, a marker appears at the top or bottom of the panel. Each derivative has a distinct shape to avoid confusion: Velocity (Circle): Bottom (bullish) / Top (bearish) Acceleration (Diamond): Bottom (bullish) / Top (bearish) Jerk (Square): Bottom (bullish) / Top (bearish) Each set of markers is independently gated by its visibility toggle, so you only see the crosses for the series you have enabled. Velocity cross — the most direct signal. When velocity crosses above zero, price momentum has turned positive on the source timeframe. Below zero, it has turned negative. Acceleration cross — a timing tool, not a trend signal. When acceleration crosses above zero while velocity is still positive, the move is re-accelerating. When acceleration crosses below zero while velocity is still positive, the move is losing steam — the trend continues, but is starting to exhaust. Acceleration reversals frequently precede velocity reversals by several bars. Jerk cross — the earliest signal in the chain. Jerk crossing zero means acceleration is about to change direction. By itself, jerk is noisy, but when it aligns with acceleration near a zero cross, it can give a meaningful early warning. Divergence Markers (Triangles) Divergence fires when acceleration crosses zero while velocity is still extreme — specifically when |vn| > 30. This combination means the move has been strong enough to be considered extended, but the underlying force driving it is already reversing. Bear divergence (▼ triangle, top): Acceleration crosses below zero while velocity is still elevated above +30. The upswing's engine is cutting out while the price is still high. Historically, this precedes deceleration into a stall or reversal. Bull divergence (▲ triangle, bottom): Acceleration crosses above zero while velocity is still depressed below −30. The downswing is losing power from the bottom. Historically, this precedes a deceleration of selling and a potential recovery. Divergence markers are rarer than zero crosses by design. They represent a specific confluence, not a general crossover signal. Regime Background The panel background is tinted to reflect the current momentum regime: Velocity > 0 and Acceleration > 0: Accelerating bull - Cyan tint Velocity < 0 and Acceleration < 0: Accelerating bear - Red tint No tint: Decelerating or mixed - Neutral The regime is also displayed in the info table with four states: ▲ Accelerating, ↗ Decelerating, ↘ Recovering, ▼ Falling. Signal Line An EMA of velocity (default length 9) is plotted as a thin white line over the velocity histogram. Velocity crossing its own signal line is an additional early entry cue, analogous to the MACD signal cross but applied directly to the derivative layer. Settings ⏱ Timeframe Source Timeframe — the timeframe on which the smoothed signal is computed before derivatives are taken. Options: Auto, Chart, 5m, 15m, 1H, 4H, 1D, 1W. Auto scales to a fixed higher timeframe based on your current chart: below 5m → 15m, below 15m → 1H, below 1H → 4H, below 4H → 1D, otherwise 1W. This allows the indicator to show higher-timeframe derivative structure on any intraday chart without manual adjustment. The chart uses the same timeframe as the chart is on. Useful when you want the derivatives of the chart's own bars rather than a higher context. 🔬 Smoothing Filter Filter — selects the smoothing method: Savitzky-Golay (recommended), Gaussian, or Kalman. SG Window (SG only) — odd integer from 5 to 15. Controls the width of the polynomial fitting window. Larger windows produce smoother derivatives with (window−1)/2 additional bars of lag. Window 9 is the default and a good general-purpose choice. Use 5 or 7 for faster signals on volatile instruments; 13 or 15 for cleaner derivatives on smooth trends. Gaussian Length (Gaussian only) — number of bars in the weighted sum. Longer = smoother. Gaussian Sigma (Gaussian only) — controls the standard deviation of the bell curve. Lower values concentrate weight on recent bars; higher values spread it more evenly. Kalman Q — Process Noise (Kalman only) — how much the filter expects the price to move on its own each bar. Higher Q makes the filter track price more closely with less smoothing. Range 0.0001–1.0, default 0.01. Kalman R — Measurement Noise (Kalman only) — how much the filter distrusts the raw price measurement. Higher R produces more smoothing and more lag. Range 0.01–50.0, default 1.0. 📈 Derivatives & Display Price Source — the input series to smooth and differentiate. Defaults to close. Can be set to any source, including hl2, ohlc4, or another indicator's output via the source selector. Normalization Lookback — the rolling window (in bars) over which each derivative is scaled to ±100. Shorter windows (e.g., 50) make the indicator more responsive to recent extremes; longer windows (e.g., 200–500) provide a more stable baseline. Default 100. Signal EMA Length — the length of the EMA applied to normalized velocity to produce the signal line. Default 9. Velocity (1st deriv) — show/hide the velocity histogram and line, and its zero-crossing markers. Acceleration (2nd deriv) — show/hide the acceleration line and its zero-cross diamond markers. Jerk (3rd deriv) — show/hide the jerk line and its zero-crossing square markers. Hidden by default as it is primarily useful for advanced analysis. Signal Line on Velocity — show/hide the EMA signal line overlay on velocity. Divergence Markers — show/hide the bear/bull divergence triangle markers. 🎨 Colors All seven colour elements are individually configurable: Velocity (up/down), Acceleration (up/down), Jerk (up/down), and the Signal line. Alerts Eight alert conditions are available: Velocity → Positive: Velocity crosses above zero Velocity → Negative: Velocity crosses below zero Momentum Trough: Acceleration crosses above zero Momentum Peak: Acceleration crosses below zero Jerk → Positive: Jerk crosses above zero Jerk → Negative: Jerk crosses below zero Bullish Divergence: Acceleration recovers while velocity is below −30 Bearish Divergence: Acceleration rolls over while velocity is above +30 Reading the Indicator Together The three layers are designed to be read in sequence, from slowest to fastest signal: Check velocity for trend direction — is the move positive or negative? Check acceleration for conviction — is the move building or fading? Check jerk for early warning — is acceleration about to change? A high-confidence setup aligns all three: velocity positive, acceleration positive and rising, jerk positive. As a move matures, acceleration will peak and roll over first, while velocity remains elevated — that is the divergence condition. Velocity eventually follows. Jerk will often signal the peak of acceleration one step earlier still. No single cross is a trade signal on its own. TDE is a momentum structure tool. It is most useful when combined with price structure, support/resistance levels, and a defined higher timeframe bias.
Indicador Pine Script®
por Azazel_Trading