Empiece

Buysellsignal

Smart Breakout Targets [WillyAlgoTrader]📡 Smart Breakout Targets is an overlay indicator that detects volatility squeezes using a dual-engine system (Bollinger Band Width compression + ATR contraction), builds adaptive consolidation range boxes, waits for a confirmed impulse candle to break the range, and then automatically places entry, stop-loss, and three take-profit levels based on the breakout's risk distance — with full trade lifecycle tracking that monitors TP/SL hits and marks the outcome directly on the chart. The core concept: volatility compression precedes expansion. When price coils into a tight range, a breakout from that range tends to produce a directional move proportional to how compressed the range was. This indicator automates the entire workflow: detect the compression, define the range, confirm the breakout, calculate the targets, track the outcome. Most breakout indicators on TradingView use a single volatility measure (typically Bollinger Band Width or Keltner Channel squeeze) to detect compression. A single measure can produce false positives — BB Width can narrow during a one-directional drift without true consolidation, or ATR can compress during a holiday session without tradeable structure. This indicator requires both engines to agree: BB Width must be below its threshold AND ATR must be below its compression ratio simultaneously. This dual confirmation eliminates the majority of false squeezes. 🧩 WHY THESE COMPONENTS WORK TOGETHER A squeeze detector alone tells you volatility is low — but it doesn't give you a range to trade against. A range box alone tells you where support and resistance are — but it doesn't confirm whether the breakout is genuine. An impulse filter alone measures candle quality — but without knowing the range boundaries, it doesn't know what's being broken. And TP/SL levels without range context have no structural anchor. This indicator connects them into a complete breakout workflow: BB Width squeeze + ATR compression → Range duration check → Adaptive Donchian range → Resistance/Support zones → Impulse candle confirmation → Filter gate (volume + HTF) → Entry at breakout → SL at opposite boundary + ATR buffer → TP1/TP2/TP3 as R:R multiples → Trade lifecycle tracking → Outcome labeling The dual squeeze engine defines WHEN compression exists. The minimum squeeze duration confirms the consolidation is established, not momentary. The adaptive Donchian tracks the range boundaries DURING the squeeze (expanding with each new high/low). The impulse filter confirms the breakout candle has sufficient body size relative to ATR. The volume and HTF filters add optional quality gates. And the R:R-based targets anchor to the actual risk distance (entry to opposite range boundary), not to arbitrary ATR multiples. Removing the dual engine reintroduces single-measure false squeezes. Removing the minimum duration allows momentary vol dips to create ranges. Removing the impulse filter lets weak candles trigger breakouts. Removing the ATR-buffered SL places stops too close to range boundaries. Each component solves a specific failure mode. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Dual-engine squeeze detection (BB Width + ATR compression). Two independent volatility measures must agree before a squeeze is confirmed: Engine 1 — Bollinger Band Width: bbWidth = (upperBB − lowerBB) / basisBB, where upperBB = SMA(close, len) + mult × stdev(close, len). The BB Width is compared to its own SMA: bbSqueeze = bbWidth < SMA(bbWidth, len) × squeezeThreshold (default 0.6). This detects when the bands are significantly tighter than their recent average. Engine 2 — ATR Compression: atrVal = ATR(len/2), atrSma = SMA(ATR, len). Compression = atrVal < atrSma × atrCompressRatio (default 0.75). This detects when absolute volatility (measured by ATR) has contracted below its recent average. The ATR period is half the squeeze length for faster response to volatility changes. Combined: isSqueeze = bbSqueeze AND atrCompress. Both engines must agree simultaneously. BB Width can narrow during a drift (price moving slowly but directionally) while ATR remains normal — the ATR engine blocks this false squeeze. Conversely, ATR can compress during a holiday while BB Width is normal — the BB engine blocks this. Dual agreement ensures genuine consolidation. 2️⃣ Minimum squeeze duration filter. A squeeze counter tracks consecutive bars where both engines agree. The range box is only created when the squeeze has lasted at least minSqueezeBars (default 5). This prevents momentary dips in volatility (single-bar BB Width contraction during a large candle, for example) from creating spurious ranges. The counter resets to zero when either engine disagrees. 3️⃣ Adaptive Donchian range boundaries. When a squeeze begins, the indicator initializes squeezeHigh and squeezeLow from the first bar. On each subsequent bar during the squeeze, the boundaries expand: squeezeHigh = max(squeezeHigh, high), squeezeLow = min(squeezeLow, low). This creates an adaptive Donchian channel that captures the full consolidation range — not just a fixed lookback but the exact range from squeeze start to squeeze end. If the resulting range exceeds 6× ATR (extreme outlier), it's clamped to 3× ATR above and below the range center. This prevents excessively wide ranges from producing unreachable targets. The range box also includes a resistance zone (top half-ATR, red-tinted) and a support zone (bottom half-ATR, green-tinted), highlighting the areas where price is most likely to be rejected on a false breakout. 4️⃣ Impulse candle breakout confirmation. A breakout requires more than just closing beyond the range — the breakout candle must be an impulse candle: Bullish breakout: close > rangeTop AND close > open AND |close − open| > ATR × impulseMultiplier (default 0.8) Bearish breakout: close < rangeBottom AND close < open AND |close − open| > ATR × impulseMultiplier This body size filter ensures the breakout candle has genuine momentum behind it — not a thin wick that barely clips the boundary. The impulse multiplier is configurable: lower values (0.3–0.5) accept weaker candles, higher values (1.0–1.5) require strong conviction bars. 5️⃣ R:R-based TP/SL with ATR-buffered stop. On breakout, the indicator calculates: — Entry = close of breakout candle — Stop Loss = opposite range boundary ± ATR × slBuffer (default 0.5). For a bullish breakout: SL = rangeBottom − ATR × 0.5. The buffer prevents the stop from sitting exactly at the range boundary where it would be clipped by a retest wick. — Risk distance = |entry − SL| — TP1 = entry ± risk × tp1RR (default 1.0 = 1:1 R:R) — TP2 = entry ± risk × tp2RR (default 2.0 = 1:2 R:R) — TP3 = entry ± risk × tp3RR (default 3.0 = 1:3 R:R) All levels are drawn as extending lines with price labels, plus linefill zones (red = risk area from entry to SL, green = reward area from entry to TP3). 6️⃣ Trade lifecycle tracking with outcome labels. After a breakout fires, the indicator actively monitors whether price hits TP1, TP2, TP3, or SL: TP hit detection: for long trades, high ≥ TPx AND high < TPx (first touch). For short trades, low ≤ TPx AND low > TPx. This ensures each TP is counted exactly once. Trade close conditions: — TP3 hit → trade marked as "Win (TP3)" → ✔ label placed on chart → all target lines removed — SL hit → trade marked as "Loss (SL)" → ✘ label placed on chart → all target lines removed — New breakout while trade active → previous trade replaced The dashboard shows: Active / Win (TP3) / Loss (SL) with the last P&L in price units. Close labels include tooltips with full trade details (entry, TP3/SL level, P&L). 7️⃣ Overlap prevention for range boxes. When enabled (default on), the indicator prevents a new range box from overlapping with an existing one. The squeezeStartBar of a new range must be after the right edge of the most recent existing box. This prevents cluttered, overlapping consolidation zones that would create confusing breakout levels. 8️⃣ Signal strength scoring (0–4). Each breakout receives a strength score based on how many quality factors are present: — +1 for impulse candle (always true on breakout, baseline) — +1 for volume surge (if volume filter enabled and passed) — +1 for HTF alignment (if HTF filter enabled and aligned) — +1 for extended squeeze (squeeze duration ≥ 2× minimum) Classification: Strong (≥3), Medium (≥2), Normal (<2). Displayed in the dashboard. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Volatility measurement: BB Width = (upperBB − lowerBB) / basis. ATR computed with period = squeezeLenght / 2. Both compared to their SMAs. Step 2 — Squeeze detection: isSqueeze = (bbWidth < bbWidthSMA × threshold) AND (ATR < atrSMA × compressionRatio). Counter tracks consecutive squeeze bars. Step 3 — Range construction: When squeeze starts, init boundaries from first bar's high/low. Each bar during squeeze: boundaries expand to include new highs/lows. Range capped at 6× ATR. Step 4 — Range box creation: When squeeze ends (isSqueeze transitions from true to false) AND duration ≥ minimum bars AND not overlapping → create range box with resistance/support zones and centerline. Step 5 — Breakout scan: On each confirmed bar, iterate through existing range boxes. If close > rangeTop with bullish impulse + filter pass → bullish breakout. If close < rangeBottom with bearish impulse + filter pass → bearish breakout. The broken range box is removed. Step 6 — Target placement: Entry = close. SL = opposite boundary ± ATR buffer. TP1/TP2/TP3 = entry ± risk × R:R multipliers. Lines, labels, and fill zones are drawn. Step 7 — Trade monitoring: Each bar, check if price touched TP1/TP2/TP3 or SL (first-touch detection using current vs previous bar comparison). On TP3 or SL → close trade, label outcome, remove visuals. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — gray range boxes appear at detected consolidation zones 2. Red-tinted zone at top = resistance, green-tinted at bottom = support 3. When price breaks out with an impulse candle → "Long" or "Short" label appears 4. Entry, SL, TP1, TP2, TP3 lines are automatically drawn 5. When price reaches TP3 → ✔ label. When SL hit → ✘ label. Trade auto-closes. 👁️ Reading the chart: — ⬜ Gray box = consolidation range (detected squeeze zone) — 🟥 Red-tinted top zone = resistance area within range — 🟩 Green-tinted bottom zone = support area within range — ➖ Dashed centerline = range midpoint — 🟢 "Long" label below bar = confirmed bullish breakout — 🔴 "Short" label above bar = confirmed bearish breakout — Green solid line = entry price — Red dashed line = stop loss — Green dotted lines = TP1, TP2, TP3 levels — 🟩 Green fill = reward zone (entry to TP3) — 🟥 Red fill = risk zone (entry to SL) — ✔ TP3 label = trade closed at target (win) — ✘ SL label = trade stopped out (loss) — 🟡 Yellow background (optional) = active squeeze 📊 Dashboard fields: — Status: Active / Win (TP3) / Loss (SL) — Signal: last breakout direction with bars elapsed — Strength: signal quality (Strong / Medium / Normal) — Trend: current trade direction — Squeeze: active status with bar count — Entry / Stop Loss: current trade levels — Last P&L: profit/loss of last completed trade — HTF Bias: higher-timeframe trend direction — Version / TF 🔧 Tuning guide: — Too many false squeezes: decrease Squeeze Threshold (0.4–0.5), decrease ATR Compression Ratio (0.6–0.7), increase Min Squeeze Bars (8–12) — Missing squeezes: increase Squeeze Threshold (0.7–0.8), increase ATR Compression Ratio (0.8–0.9), decrease Min Squeeze Bars (3–4) — Breakouts too weak: increase Impulse Body Threshold (1.0–1.5), enable Volume Filter — Stops too tight: increase SL ATR Buffer (0.7–1.0) — Want only trend-aligned breakouts: enable HTF Trend Filter — Scalping 1–5M: Squeeze Length 15, Min Squeeze 3, Impulse 0.5, TP1 0.75 — Swing 4H–1D: Squeeze Length 30, Min Squeeze 8, Impulse 1.0, TP3 5.0 ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Squeeze Detection Length (default 20): lookback for BB Width and ATR baseline — BB Multiplier (default 2.0): standard deviation multiplier for Bollinger Bands — Squeeze Threshold (default 0.6): BB Width must be below this fraction of its SMA — ATR Compression Ratio (default 0.75): ATR must be below this fraction of its SMA — Min Squeeze Bars (default 5): minimum consecutive squeeze bars for valid range — Impulse Body Threshold (default 0.8): breakout candle body ≥ ATR × this value — Prevent Overlap (default On): no overlapping range boxes 🎯 Targets: — SL ATR Buffer (default 0.5): extra ATR distance beyond range boundary for stop — TP1 R:R (default 1.0) / TP2 R:R (default 2.0) / TP3 R:R (default 3.0): risk-to-reward multiples 🔍 Filters: — Volume Filter (default Off): breakout volume > SMA(20) × multiplier (default 1.5×) — HTF Trend Filter (default Off): align breakouts with SMA(50) trend on HTF (default Daily) 🎨 Visual: — Range boxes, resistance/support zones, centerline (all toggleable) — Breakout signals, target levels, close labels (all toggleable) — Squeeze background highlight (default Off) — Configurable label sizes (signal, target, close — separate controls) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BULL BREAKOUT / 🔴 BEAR BREAKOUT — ticker, price, SL, TP1, timeframe — ✅ TP1 HIT / TP2 HIT / TP3 HIT — trade progress — ✅ TP3 TRADE CLOSED — full win with P&L — ❌ SL TRADE CLOSED — stopped out with P&L All support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All breakout signals require barstate.isconfirmed. Range boxes are created on the bar after the squeeze ends (confirmed transition). TP/SL hit detection uses first-touch logic (current bar vs previous bar comparison). HTF filter uses + lookahead_on for non-repainting. A warmup period (max of squeeze length and 50 bars) prevents signals during insufficient data. — 📐 The dual-engine squeeze is not a standard Bollinger/Keltner squeeze . It combines BB Width percentile compression with ATR contraction ratio — both must agree. This is stricter than a single-measure approach and produces fewer but higher-quality consolidation zones. — ⚖️ The trade is tracked until TP3 or SL — there is no partial close logic. TP1 and TP2 are marked as they're hit (for visual reference and alerts) but the trade remains open until the final outcome. You can manage partial closes manually using the TP1/TP2 alerts. — 📊 Signal strength reflects how many quality factors aligned at the time of breakout. A "Strong" signal had volume surge, HTF alignment, AND extended squeeze — but strength does not predict outcome. — 🔄 If a new breakout occurs while a trade is active, the previous trade is replaced. The indicator tracks one trade at a time. — 📏 Range box boundaries are adaptive Donchian — they expand during the squeeze to capture every high and low. They do not contract. This means the range can be wider than the BB Width suggests if a spike occurred during the squeeze. — 🛠️ This is a breakout detection and target visualization tool , not an automated trading bot. It identifies squeeze zones, confirms breakouts, and places structural targets — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume filter auto-adapts to instruments without volume data.
Indicador Pine Script®
por WillyAlgoTrader
Range Filter - Enhanced AccuracyThis indicator is a comprehensive trend-following and momentum tool designed to identify market breakouts while filtering out noise. Below is a guide on how to interpret and trade with the Range Filter - Enhanced Accuracy. 1. The Core Components The Filter Line (The Midline): This is the heart of the indicator. Green: Indicates a bullish (upward) trend. Red: Indicates a bearish (downward) trend. Range Bands (High/Low): These act as dynamic support and resistance. Price breaking out of these bands typically indicates a shift in momentum. Trend EMA (Default 200): Displayed as a blue line. It represents the "Primary Trend." Buy/Sell Labels: These appear when a high-probability breakout occurs that meets all accuracy filters. 2. How to Read the Signals The signals in this version are filtered for quality. A signal only appears if: Price breaks the Filter Line in a new direction. Trend Alignment: Price is above the 200 EMA for a Buy signal, or below it for a Sell signal. Volatility Confirmation: The market has enough "movement" (ATR) to sustain a trend. Buy Signal (BUY Label) Entry: Enter when the green "BUY" label appears below the bar. Market Context: The Filter line turns green, and price is comfortably above the blue 200 EMA. Sell Signal (SELL Label) Entry: Enter when the red "SELL" label appears above the bar. Market Context: The Filter line turns red, and price is comfortably below the blue 200 EMA. 3. Suggested Trading Strategy Stop Loss: For Longs, place your stop loss just below the Low Band (red band) or the Filter Line. For Shorts, place your stop loss just above the High Band (green band) or the Filter Line. Take Profit: A common strategy is to exit when the Filter Line changes color (e.g., exit a Long trade when the line turns from green to red). Alternatively, use a fixed Risk/Reward ratio (like 1:2). 4. Adjusting the Settings (Optimization) You can tailor the indicator to different assets (Crypto, Forex, Stocks) and timeframes: Swing Period & Multiplier: For Scalping (1m-5m): Use a lower period (e.g., 10-15) and a lower multiplier (e.g., 2.5-3.0) for more frequent signals. For Swing Trading (1H-Daily): Use higher values (e.g., Period 20+, Multiplier 3.5+) to catch major trends. Use Trend Filter: If you are in a sideways/ranging market, turn this OFF to catch short-term rotations. If you are in a trending market, keep it ON to avoid "trap" signals. Use Volatility Filter: Keep this ON to avoid trading during low-volume sessions (like the Asian session for Forex) where price often moves without direction. 5. Pro Tips The "EMA River": Treat the area between the price and the 200 EMA as a neutral zone. The best signals often happen right after the price pulls back toward the EMA and then bounces away. Confluence: This indicator works best when combined with standard Support/Resistance levels or Volume indicators to confirm that the "BUY/SELL" signal is happening at a key structural level.
Indicador Pine Script®
por A1TradingHub
[ A L P H A X ] Vision - Smart Entry/Exit SignalsAlphaX Vision — Fusion Trend Engine, Smart Entry/Exit Signals, Multi-Confluence Confidence Scoring & Choppy Market Detection AlphaX Vision is a professional-grade trend following and signal system built on a proprietary Fusion Moving Average engine that blends five different moving average types into a single adaptive trend baseline. It delivers three distinct signal layers — Trend Change labels, Re-Entry triangles, and Exit markers — each governed by a multi-factor confidence scoring system and institutional-grade filters. Designed for intraday traders on fast-moving instruments like XAUUSD, indices, and forex majors. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📸 Visual Overview Full chart view showing Fusion Cloud, trend labels, re-entry triangles, and exit markers on XAUUSD 1-minute ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Fusion Engine — How It Works At the core of AlphaX Vision is the Fusion Moving Average — a proprietary composite baseline calculated by averaging five independent moving average types on every bar: EMA — Exponential Moving Average for fast responsiveness SMA — Simple Moving Average for stability and noise reduction WMA — Weighted Moving Average for recent-price emphasis ALMA — Arnaud Legoux Moving Average for Gaussian-smoothed precision VWAP — Volume Weighted Average Price for institutional volume anchoring The raw Fusion value is then split into two smoothed layers: Fusion Slow — the primary trend baseline (heavier smoothing) Fusion Fast — the responsive layer that reacts to momentum shifts first When price is above Fusion Slow and the slope is rising → the trend is bullish (yellow-green theme) When price is below Fusion Slow and the slope is falling → the trend is bearish (red theme) When neither condition is met → the market is neutral (gray — no signals fire) The space between Fusion Fast and Fusion Slow forms the Fusion Cloud — a gradient-shaded area that visually represents trend strength and direction at a glance. Fusion Cloud expanding during a strong trend — wider cloud = stronger momentum ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Three Signal Layers AlphaX Vision produces three distinct types of signals, each with a specific role in the trade lifecycle: 1 ─ Trend Change Labels ( B U L L / B E A R ) Compact trend change labels marking the start of a new bullish or bearish phase These are the primary directional signals . A " B U L L " label appears below the bar when the Fusion system detects a confirmed shift from bearish or neutral to bullish. A " B E A R " label appears above the bar for the opposite shift. How the trend change is detected: Price crosses above Fusion Slow while the Fusion Slow slope turns upward → Bullish Price crosses below Fusion Slow while the Fusion Slow slope turns downward → Bearish A cooldown timer prevents repeated labels during choppy transitions — configurable via Trend Label Cooldown Once a trend label fires, it sets the directional context for all subsequent signals. During a BULL trend, only long entries and long exits are generated. During a BEAR trend, only short entries and short exits are generated. This eliminates counter-trend noise entirely. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2 ─ Re-Entry Triangles (▲ / ▼) Small re-entry triangles appearing after the initial trend label — opportunities to add or re-enter in the direction of the trend After a trend is established by the Fusion label, the AlphaX Pro engine monitors for high-confidence re-entry opportunities within that trend. These appear as small triangles: ▲ Yellow-green triangle below bar — Re-entry long signal during a BULL trend ▼ Red triangle above bar — Re-entry short signal during a BEAR trend Re-entry signals are generated by six independent trigger types, all running simultaneously: Divergence Trigger — WPR divergence against price (price makes new low but WPR makes higher low, or vice versa) Extreme Snap — Fast WPR recovers from deeply oversold/overbought territory while higher timeframe WPR confirms trend support Exhaustion Recovery — Price shows exhaustion at a level while the broader trend remains intact Trend Continuation — Fast WPR crosses back from a pullback zone while slow and turtle WPR confirm a strong ongoing trend Pullback Entry — A moderate pullback within an established trend with sufficient velocity to confirm the bounce Triple Alignment — All three WPR timeframes (fast, slow, turtle) reach extreme levels simultaneously and begin recovering together Each trigger feeds into the Confidence Scoring System (explained below). Only signals that meet your minimum confidence threshold are displayed — weak or ambiguous setups are automatically filtered out. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3 ─ Exit Markers (✕) Gray X marks indicating where the Pro engine detects momentum exhaustion against the current trend — time to consider taking profit or tightening stops Exit signals appear as small gray ✕ marks and fire only after at least one re-entry signal has occurred in the current trend. This prevents premature exit markers from appearing before you have even entered. During a BULL trend — a sell-side signal from the Pro engine triggers an exit ✕ above the bar During a BEAR trend — a buy-side signal from the Pro engine triggers an exit ✕ below the bar Exit markers indicate that counter-trend momentum is building . They do not necessarily mean the trend is over — but they warn that the current move may be losing steam. Use them to: Take partial or full profit Tighten your stop loss Pause new entries until the next re-entry triangle confirms continuation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 Multi-Confluence Confidence Scoring Every re-entry and exit signal is scored by a real-time confidence engine that evaluates multiple independent factors and produces a score from 0 to 100. Only signals meeting your configured Min Pro Confidence % threshold are displayed. The scoring factors include: Trend Alignment (up to 25 points) Turtle WPR (200-period) position — measures the macro trend direction Higher scores when the long-term trend strongly supports the signal direction Oversold/Overbought Depth (up to 20 points) How deeply the Fast WPR penetrated into extreme territory before recovering Deeper penetration = higher score = stronger spring-loaded reversal potential Signal Type Quality (up to 20 points) Triple Alignment and Trend Continuation score highest (18–20 points) Divergence scores 17 points Extreme Snap scores 14 points Pullback scores 8 points Multiple simultaneous triggers add a stacking bonus — 2 triggers = +8 points, 3+ triggers = +15 points Velocity Quality (up to 15 points) The speed at which Fast WPR is moving — "IDEAL" velocity scores 15, "STRONG" scores 10, "EXTREME" (too fast, likely to reverse) scores only 3 Velocity thresholds are session-adaptive — adjusted automatically based on whether the current session is London/NY overlap (highest volatility) or Asian session (lowest volatility) Session Quality (up to 10 points) London/NY overlap = 10 points (best liquidity and follow-through) London session = 8.5 points NY afternoon = 6 points Asian session = 3 points (signals during Asia receive a penalty) EMA Alignment (up to 5 points) Price position relative to 200 EMA and 50/200 EMA cross — confirms structural trend Penalty Deductions Extreme velocity (likely spike/wick) — up to -10 points RSI already at opposite extreme — up to -8 points Asian session or NY close timing — up to -10 points Low volume — -5 points The default minimum confidence is set to 35% — optimized for XAUUSD 1-minute to filter noise while still capturing valid setups. Increase to 45–55% for even cleaner signals on higher timeframes, or reduce to 20–25% for more aggressive scalping. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🛡 Trend Alignment Gate An additional layer of protection called the Trend Alignment Gate prevents counter-trend signals from firing during strong established trends. If Turtle WPR and Slow WPR both confirm a strong downtrend → buy signals are blocked unless the Fast WPR shows a confirmed recovery move from extreme oversold (recovery must exceed a minimum move threshold within a configurable lookback window) If both confirm a strong uptrend → sell signals are blocked unless Fast WPR shows confirmed recovery from overbought Strict Mode tightens the gate thresholds further for maximum noise reduction This gate is enabled by default and is one of the key reasons AlphaX Vision produces significantly fewer false signals than typical oscillator-based systems. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Identifying Choppy / Ranging Markets — When NOT to Trade Choppy market condition — EMAs converging, Fusion Cloud collapsed, no clear trend labels. This is when you step aside. Knowing when to stay out is just as important as knowing when to enter. AlphaX Vision gives you clear visual cues that the market is in a choppy, range-bound state: How to identify choppy conditions: Fusion Cloud disappears or becomes paper-thin — when Fusion Fast and Fusion Slow are nearly overlapping, the cloud collapses. No cloud = no trend = no edge. EMAs converge and flatten — when the Fast EMA (yellow-green dots), Medium EMA (gray line), and Slow EMA (dark gray line) all cluster together and move sideways, the market has no directional bias. Frequent color switches — if the Fusion system is rapidly alternating between bullish and bearish with labels appearing in quick succession, the trend cooldown filter is doing its job blocking most of them, but the underlying message is clear: no clean trend. No re-entry triangles appearing — even after a trend label fires, if the Pro engine cannot find a single re-entry opportunity that meets the confidence threshold, the "trend" is likely a false start. Cloud color is gray (neutral) — when neither bullish nor bearish conditions are met, the Fusion lines turn gray. This is the indicator explicitly telling you: this is a no-trade zone. What to do during choppy markets: Do not force entries — wait for the cloud to expand and a clean trend label to form Look for the EMAs to fan out and separate — this confirms that a new directional move is developing Wait for the first re-entry triangle after a trend label before committing capital — the triangle confirms the trend has real momentum behind it Consider switching to a higher timeframe temporarily to find structure — if the 1-minute is chopping, the 5-minute or 15-minute may show a clear trend that the 1-minute will eventually follow ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 EMA System Three Exponential Moving Averages are plotted as structural context: Fast EMA (21) — yellow-green cross marks — the immediate momentum reference. When price holds above the Fast EMA, intrabar momentum favors longs. Medium EMA (55) — gray line — the intermediate trend filter. Slope direction confirms trend momentum. Slow EMA (200) — dark gray line, thicker — the structural backbone. The 200 EMA is used by the confidence scoring system and acts as the macro trend divider. EMA Fan Analysis: When all three EMAs are fanning outward in order (Fast > Medium > Slow for bullish, reverse for bearish) — the trend is healthy and re-entry signals carry higher confidence When EMAs are converging — trend is weakening, expect chop or reversal When EMAs are tangled and flat — range-bound market, stay out ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Vision — Step by Step Step 1 — Assess Market Condition Check the Fusion Cloud: Is it expanded and colored, or collapsed and gray? Check the EMAs: Are they fanned out or tangled? If choppy → do not trade. Wait for structure. Step 2 — Wait for a Trend Label A " B U L L " or " B E A R " label sets your directional bias Do not enter on the label itself — it confirms the trend, but the optimal entry comes next SCREENSHOT_7_TRADE_FLOW Complete trade flow: Trend label → Re-entry triangle → Price move → Exit marker Step 3 — Enter on Re-Entry Triangle The first ▲ or ▼ triangle after a trend label is your primary entry signal This is a confirmed, confidence-scored setup aligned with the macro trend Place your stop loss beyond the recent swing high/low or below/above the Fusion Slow line Step 4 — Manage with Subsequent Triangles Additional re-entry triangles during the same trend are opportunities to add to your position or re-enter after a partial take-profit Each triangle has passed the same confidence filters as the first Step 5 — Exit on ✕ Mark When a gray ✕ appears, the Pro engine has detected counter-trend momentum Take partial or full profit If the trend is still active (no opposing trend label), wait for the next re-entry triangle to confirm continuation before re-entering Step 6 — Trend Ends When an opposing trend label appears (e.g., " B E A R " after you were in a BULL trend), the trend has reversed Close any remaining position from the prior trend The new label resets the cycle — wait for re-entry triangles in the new direction ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 🔬 Proprietary Fusion MA engine blending EMA + SMA + WMA + ALMA + VWAP into one adaptive baseline ☁ Gradient trend cloud with 5-layer depth shading — instant visual trend strength 🏷 Clean, compact trend labels with spaced lettering — professional and non-intrusive ▲▼ Confidence-scored re-entry triangles — only high-quality setups pass the filter ✕ Smart exit markers — fire only after entry, detect counter-trend momentum buildup 🧠 Multi-factor confidence scoring — trend, depth, velocity, session, volume, EMA alignment, signal stacking ⏱ Session-adaptive velocity thresholds — automatically adjusts for London, NY, Asia, and overlap sessions 🛡 Trend Alignment Gate with Strict Mode — blocks counter-trend noise during strong moves 📐 Three EMAs (21 / 55 / 200) for structural context and fan analysis 🎨 Cohesive dual-tone color theme — yellow-green for bullish, red for bearish, gray for neutral/exits 🔔 6 alert conditions — trend changes, entries, and exits with clean message formatting ⚙ Fully configurable — all periods, thresholds, colors, and filters are adjustable from the settings panel ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Fusion System Fusion MA Length — base period for all five moving averages (default: 40) Fusion Slow Sensitivity — smoothing period for the slow trend line (default: 12) Fusion Fast Sensitivity — smoothing period for the fast momentum line (default: 5) Show Trend Cloud — toggle the gradient cloud fill between Fusion Fast and Fusion Slow EMA Settings Fast / Medium / Slow EMA — independently toggle visibility and set periods Defaults optimized for XAUUSD 1-minute: 21 / 55 / 200 AlphaX Pro Settings Fast WPR Period (default: 11) — the primary oscillator for signal generation Slow WPR Period (default: 48) — intermediate trend confirmation Turtle WPR Period (default: 180) — macro trend direction Oversold / Overbought Levels — thresholds for WPR cross triggers (default: -90 / -10) Trend Detection Period — lookback for slope calculation (default: 25) Min Pro Confidence % — minimum score a signal must achieve to be displayed (default: 35%) Trend Alignment Gate — enable/disable counter-trend blocking Strict Mode — tighten gate thresholds for maximum noise reduction Recovery Requirements — minimum WPR recovery move and lookback for counter-trend signal validation Trend Filters Trend Label Cooldown — minimum bars between consecutive trend labels (default: 25) Theme Colors Bull Primary / Bright / Dim — the yellow-green family for all bullish elements Bear Primary / Bright / Dim — the red family for all bearish elements Neutral color — gray for exits, inactive states, and choppy conditions Individual EMA colors — Fast (yellow-green), Medium (gray), Slow (dark gray) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions Fusion → Bull Trend — fires when a new BULL trend label appears Fusion → Bear Trend — fires when a new BEAR trend label appears Re-Entry Long — fires on each bullish re-entry triangle Re-Entry Short — fires on each bearish re-entry triangle Exit Long — fires when a long exit ✕ appears Exit Short — fires when a short exit ✕ appears All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is specifically tuned for XAUUSD (Gold) on the 1-minute timeframe : Confidence threshold at 35% filters out low-quality signals while keeping valid scalping setups Strict Trend Gate enabled to block counter-trend noise during strong gold moves Cooldown at 25 bars prevents label spam during volatile transitions WPR periods (11 / 48 / 180) calibrated for gold's intraday volatility profile Session-adaptive velocity ensures signals respect the different volatility regimes across Asia, London, and NY For other instruments or timeframes, adjust: Higher timeframes (5m, 15m) — increase Fusion Length to 50–60, increase confidence to 40–50% Forex majors — reduce Fusion Length to 30–35, keep confidence at 30–35% Indices (NAS100, US30) — use defaults or increase Turtle WPR to 200 for broader trend context Less noise — increase Min Confidence %, enable Strict Mode, increase Cooldown More signals — decrease Min Confidence %, disable Strict Mode, decrease Cooldown ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🥇 Gold (XAUUSD) scalpers and intraday traders — built and tuned specifically for gold's volatility and session structure 📉 Forex traders — works on all major and minor pairs with minor setting adjustments 📊 Index traders — applicable to US30, NAS100, SPX500, DAX, and others 🧠 Systematic traders — the confidence scoring system provides a quantitative framework, not just visual signals 📈 Traders who value clean charts — no indicator soup, no overlapping signals, no clutter. One cohesive system with a consistent color theme ⚠ Traders who struggle with overtrading — the choppy market detection and confidence filters physically prevent low-quality signals from appearing ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes Session-adaptive features use UTC/GMT time — the indicator automatically detects whether the current bar falls within Asia, London, NY overlap, NY afternoon, or NY close windows Designed primarily for intraday timeframes — M1 through H1. On daily or weekly charts the session-adaptive features are less meaningful but the Fusion trend system still functions The Fusion engine uses ta.vwap which resets on each new session — this is by design, as it anchors the Fusion baseline to institutional volume flow within the current session All calculations are non-repainting — signals are confirmed on bar close Maximum 500 labels and 500 bars lookback are used — on very low timeframes with extended chart history, oldest labels may be automatically removed by TradingView's rendering limits ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who demand clarity, confidence, and precision from their charts.
Indicador Pine Script®
por AlphaX-Trade
10
Adaptive Momentum Fusion [WillyAlgoTrader]📡 Adaptive Momentum Fusion is a separate-pane oscillator that replaces the fixed EMAs inside a standard MACD with selectable adaptive moving averages — six different adaptation engines that each respond to a different market dimension (efficiency, volatility, fractal structure, momentum, volume, or a weighted composite of all five). The oscillator line and signal line are then processed through Jurik-style smoothing to reduce jitter without adding lag. The result is a MACD-like oscillator where the core moving averages automatically adjust their speed to current market conditions, producing cleaner crossovers, more meaningful histogram readings, and built-in divergence detection. A standard MACD uses fixed-length EMAs (typically 12/26/9). This means the same smoothing is applied whether the market is trending strongly, ranging sideways, experiencing a volatility spike, or consolidating. The result: late crossovers in trends, whipsaws in ranges, and false divergences during choppy periods. This indicator solves the problem at the source — the moving averages themselves. Instead of fixed EMAs, each adaptation engine dynamically adjusts the smoothing constant (alpha) on every bar based on a real-time market measurement. In a strong trend, the Efficiency engine detects high directional efficiency and increases alpha → faster MA → earlier crossover. In a range, efficiency drops and alpha decreases → slower MA → fewer whipsaws. Each engine uses a different measurement to achieve this adaptation, and the user selects which dimension matters most for their market. 🧩 WHY THESE COMPONENTS WORK TOGETHER A MACD with adaptive MAs alone would still produce a noisy signal line (the EMA of the oscillator). Adding adaptation to the base MAs but keeping a fixed EMA for the signal line creates a mismatch: the oscillator adapts but the signal doesn't, causing crossover lag to reappear at the signal level. This indicator addresses the full signal chain: Adaptive fast MA → Adaptive slow MA → Oscillator (MACD or PPO) → Jurik-smoothed signal line → 4-state histogram → Divergence scanner The adaptive MAs eliminate the fixed-speed problem at the source. The MACD/PPO dual mode lets you choose between absolute (price-scaled) and percentage (normalized) output. The Jurik smoother replaces the standard signal EMA with a 3-stage filter that reduces jitter while preserving crossover timing — critical because adaptive oscillators produce more variable readings than fixed ones. The 4-state histogram (accelerating/decelerating × bullish/bearish) quantifies momentum acceleration, not just direction. And the divergence scanner works on the adaptive oscillator itself, which produces more reliable pivots than a fixed MACD because the adaptive MAs have already filtered out noise-driven fluctuations. Removing the adaptive engines returns you to a standard MACD. Removing the Jurik smoother reintroduces signal line jitter that the adaptive engines amplify. Removing the histogram states loses momentum acceleration information. The full pipeline produces cleaner signals than any subset. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Six selectable adaptation engines. Each engine computes a dynamic smoothing constant (alpha) that controls how fast the moving average reacts. All engines feed into the same adaptive EMA core: result = alpha × source + (1 − alpha) × result . The difference is how alpha is calculated: Efficiency (Kaufman AMA): Computes the Efficiency Ratio: ER = |price − price | / sum(|price − price |, N). ER ranges from 0 (pure chop — price moves a lot bar-to-bar but goes nowhere net) to 1 (pure trend — every bar moves in the same direction). The smoothing constant: sc = (ER × (fastSc − slowSc) + slowSc)², where fastSc = 2/3, slowSc = 2/31. This is the classic Kaufman Adaptive Moving Average approach. Best all-around engine. Volatility (ATR-based): Computes volRatio = ATR(len) / SMA(ATR, len×2). When current volatility exceeds its average (ratio > 1), alpha increases → MA speeds up to track the expanding price action. When volatility contracts (ratio < 1), alpha decreases → MA slows down to avoid noise. Alpha = baseAlpha × volRatio, clamped to . Best for instruments with distinct volatility regimes (crypto, commodities). Fractal (Hurst-inspired): Estimates the fractal dimension of the price series using rescaled range analysis: the full-range is compared to the sum of two half-ranges. fracDim = 1 + log(sumHalf) / log(2 × rangeFull). A fractal dimension near 1.0 indicates trending behavior (smooth), near 2.0 indicates mean-reverting (rough). Alpha = exp(−4.6 × (fracDim − 1)), which maps: fracDim ≈ 1.0 → alpha ≈ 1.0 (fast, trending), fracDim ≈ 2.0 → alpha ≈ 0.01 (slow, ranging). Best for detecting regime changes between trending and mean-reverting markets. Momentum (ROC-based): Computes the Rate of Change normalized against its recent maximum: norm = |ROC| / highest(|ROC|, len×2). When momentum is strong relative to recent history, alpha increases. Alpha = baseAlpha + norm × (1 − baseAlpha) × 0.5. This makes the MA react faster during breakouts and momentum surges while staying smooth during low-momentum drift. Best for breakout-oriented strategies. Volume: Computes volRatio = volume / SMA(volume, len). When volume exceeds its average (institutional participation), the MA speeds up. Alpha = baseAlpha × √(volRatio). The square root prevents extreme volume spikes from making the MA too reactive. Auto-disabled on instruments without volume data (forex) — falls back to baseAlpha. Best for stocks and crypto where volume confirms moves. Composite (weighted blend): Runs all five engines simultaneously and blends the results: with volume = 30% Efficiency + 20% Volatility + 20% Fractal + 15% Momentum + 15% Volume. Without volume = 35% Efficiency + 25% Volatility + 25% Fractal + 15% Momentum. This produces the most robust adaptation but is slightly slower because it averages five different smoothing perspectives. Best for users who don't want to choose a single engine. 2️⃣ Jurik-style signal line smoothing. The standard MACD signal line is a simple EMA of the oscillator. This indicator replaces it with a 3-stage Jurik-inspired filter: beta = 0.45 × (len − 1) / (0.45 × (len − 1) + 2) alphaJ = beta³ e0 = (1 − alphaJ) × source + alphaJ × e0 e1 = (source − e0) × (1 − beta) + beta × e1 e2 = (e0 + phase × e1 − e2 ) × (1 − alphaJ)² + alphaJ² × e2 The three stages progressively remove jitter while maintaining phase alignment. The phase parameter (Jitter Reduction, default 0.7) controls how much additional smoothing is applied: 0.0 = minimal smoothing (fast but noisy), 1.0 = maximum smoothing (smooth but slightly more lag). This is particularly important for adaptive oscillators because the variable-speed MAs produce a more erratic oscillator line than fixed EMAs — the Jurik filter absorbs this variability at the signal level. 3️⃣ MACD/PPO dual output mode. — MACD mode : oscillator = fastMA − slowMA (absolute difference, price-scaled). Readings scale with instrument price — useful for single-instrument analysis. — PPO mode : oscillator = (fastMA − slowMA) / slowMA × 100 (percentage difference, normalized). Readings are comparable across instruments and time — useful for scanning, multi-market analysis, or consistent threshold settings. 4️⃣ 4-state momentum histogram. The histogram (oscillator − signal) is classified into four states based on value and direction of change: — 🟢 Accelerating bullish : histogram > 0 AND rising (momentum strengthening) — 🟢 Decelerating bullish : histogram > 0 AND falling (momentum fading, potential reversal ahead) — 🔴 Accelerating bearish : histogram < 0 AND falling (selling pressure increasing) — 🔴 Decelerating bearish : histogram < 0 AND rising (selling pressure easing, potential bounce) Each state has a distinct color intensity: accelerating = fully saturated, decelerating = faded. This provides immediate visual recognition of whether momentum is building or exhausting — the most actionable information from a histogram. 5️⃣ Divergence detection with adaptive oscillator. The indicator scans for regular divergences between price and the adaptive oscillator: — Regular Bullish Divergence : price makes a lower low, but the oscillator makes a higher low → selling pressure is weakening despite lower prices → potential reversal up — Regular Bearish Divergence : price makes a higher high, but the oscillator makes a lower high → buying pressure is weakening despite higher prices → potential reversal down Pivots are detected using a custom function with configurable lookback (default 30 bars) and a fixed right-bar confirmation of 5 bars. Divergences are labeled on the oscillator pane and optionally drawn as connecting lines. The divergence state persists in the dashboard for 20 bars after detection, then decays. Divergences detected on the adaptive oscillator are more reliable than on a standard MACD because the adaptive MAs have already filtered regime-inappropriate noise — the pivots in the oscillator correspond to genuine momentum shifts, not noise-driven wiggles. 6️⃣ Zero-line cross signals. When enabled, the indicator marks when the oscillator crosses the zero line — which corresponds to the fast adaptive MA crossing the slow adaptive MA. In MACD terms, this is the equivalent of the "MACD crossing zero." Because the MAs are adaptive, these crossovers occur at more structurally meaningful points than with fixed EMAs. 7️⃣ Signal strength scoring (0–100). Each bar's histogram absolute value is normalized against its recent maximum over 50 bars: strength = |histogram| / highest(|histogram|, 50) × 100. This provides a relative measure: 100 = histogram is at its strongest in the last 50 bars, 0 = no momentum. Classified as Strong (≥ 70), Medium (≥ 40), Weak (< 40). Displayed in the dashboard. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Engine selection: The selected adaptation engine computes a dynamic alpha value on each bar based on its specific market measurement (efficiency ratio, ATR ratio, fractal dimension, ROC normalization, volume ratio, or composite blend). Step 2 — Adaptive MA calculation: The fast MA and slow MA are each computed using the adaptive EMA formula: result = alpha × source + (1 − alpha) × result . The same engine is used for both, with different length parameters (fast = default 8, slow = default 21). Step 3 — Oscillator: MACD mode: osc = fastMA − slowMA. PPO mode: osc = (fastMA − slowMA) / slowMA × 100. Step 4 — Signal line: The oscillator is passed through the Jurik 3-stage filter with the configured signal length (default 7) and jitter reduction factor (default 0.7). Step 5 — Histogram: hist = oscillator − signal. Classified into 4 states (accelerating/decelerating × bullish/bearish) based on sign and direction of change. Step 6 — Divergence scan: Custom pivot detection identifies local highs and lows in both the oscillator and price. When a new pivot is found, it's compared to the previous pivot to check for divergence conditions (price lower low + osc higher low, or price higher high + osc lower high). Step 7 — Signals: Crossovers (oscillator crossing signal line) and zero-line crosses are detected. All signals require barstate.isconfirmed + warmup check. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — the adaptive oscillator appears in a separate pane 2. Select an adaptation engine matching your market (Efficiency for general use) 3. Green line above red = bullish momentum, below = bearish 4. Histogram bars show momentum acceleration (bright) vs deceleration (faded) 5. Divergence labels mark potential reversals 👁️ Reading the pane: — 🟢 Green oscillator line above signal line = bullish momentum — 🔴 Red oscillator line below signal line = bearish momentum — 🟢 Bright green histogram = accelerating bullish momentum — 🟢 Faded green histogram = decelerating bullish (momentum fading) — 🔴 Bright red histogram = accelerating bearish momentum — 🔴 Faded red histogram = decelerating bearish (selling easing) — ▲ label = buy crossover signal (oscillator crosses above signal) — ▼ label = sell crossover signal — ● dot on zero line = zero-line cross — "Bull Div" / "Bear Div" labels = detected divergences 🔧 Engine selection guide: — Efficiency : best default for most markets — adapts to trending vs ranging — Volatility : best for instruments with clear vol regimes (crypto, commodities) — Fractal : best for detecting regime shifts (trending ↔ mean-reverting) — Momentum : best for breakout strategies — speeds up on strong moves — Volume : best for stocks/crypto where volume confirms participation — Composite : most robust — blends all dimensions, good when unsure 🔧 Tuning guide: — Too many whipsaws: increase Slow Length, increase Signal Length, increase Jitter Reduction — Signals too late: decrease Fast/Slow Length, decrease Signal Length, decrease Jitter Reduction — Histogram too noisy: increase Jitter Reduction toward 0.8–1.0 — Divergences too frequent: increase Divergence Lookback (40–60) — Cross-market comparison: switch to PPO mode for normalized output ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Adaptation Engine (default Efficiency): Efficiency / Volatility / Fractal / Momentum / Volume / Composite — Fast Length (default 8): fast adaptive MA period — Slow Length (default 21): slow adaptive MA period — Signal Length (default 7): Jurik signal smoothing period — Output Mode (default MACD): MACD (absolute) or PPO (percentage) 🔍 Filters: — Detect Divergences (default On): scan for regular divergences — Divergence Lookback (default 30): pivot search depth — Zero Line Cross Signals (default On): mark zero crossings 🔧 Advanced: — Jitter Reduction (default 0.7): Jurik phase parameter (0.0–1.0) — Auto / Dark / Light theme 📊 Dashboard — Trend: oscillator vs signal line direction (Bullish / Bearish / Neutral) — Signal: last crossover (BUY / SELL / Wait) — Strength: histogram normalized to 50-bar max (Strong / Medium / Weak with %) — Momentum: 4-state acceleration (Accel ▲ / Decel ▽ / Accel ▼ / Decel △) — Divergence: current divergence state (Bull Div / Bear Div / None) — Engine / TF: selected engine and timeframe — Version 🔔 Alerts — 🟢 BUY / 🔴 SELL — oscillator-signal crossover (ticker, price, timeframe, engine) — 🟡 ZERO BULL CROSS / ZERO BEAR CROSS — zero-line crossing — 🔵 BULL DIVERGENCE / BEAR DIVERGENCE — detected divergence All support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals and divergences require barstate.isconfirmed. A warmup period (2× slow length, minimum 50 bars) prevents signals during insufficient data. The adaptive MAs are deterministic — once a bar closes, the MA value for that bar never changes. — 📐 This is a separate-pane oscillator, not an overlay. It displays in its own pane below the chart. The oscillator values are momentum readings, not price levels. Use it alongside your chart for confluence, not as a standalone trading system. — ⚖️ The six engines produce different signals on the same data . Efficiency and Composite tend to produce the most similar results. Fractal can diverge significantly during regime transitions. Volume engine auto-falls back to base alpha on instruments without volume data. — 📊 Signal strength is relative to recent 50 bars , not absolute. A "Strong" reading during a low-volatility week may be weaker in absolute terms than a "Weak" reading during a high-volatility week. — 🔄 Divergences use a 5-bar right confirmation — they appear 5 bars after the actual pivot. This delay is inherent to pivot detection and cannot be eliminated without introducing false positives. — 📏 PPO mode normalizes the output as a percentage, making threshold settings (e.g., "divergence when oscillator > 2") comparable across instruments. MACD mode values scale with price — a reading of 5.0 on a $100 stock is different from 5.0 on a $50,000 BTC chart. — 🛠️ This is a momentum analysis tool , not an automated trading bot. It measures and visualizes adaptive momentum — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume engine auto-adapts to available data.
Indicador Pine Script®
por WillyAlgoTrader
4
MACD Advanced: Trend-Weighted MomentumMACD Advanced Overview MACD Advanced is a refined version of the classic Moving Average Convergence Divergence. While the standard MACD identifies changes in momentum, it often produces false signals in ranging markets or against a strong higher-timeframe trend. This script addresses that by "tilting" the MACD calculation based on the slope of a Higher Timeframe (HTF) Moving Average. How it Works The script integrates a Trend Bias Factor derived from the rate of change of a long-period EMA (default 200) from a user-defined timeframe. The Math: It calculates the ratio between the current HTF EMA and its value $n$ bars ago. This ratio is then used to offset the MACD line. Bullish Bias: If the HTF EMA is sloping upward, the MACD is shifted higher, making bearish crossovers harder to trigger and bullish ones more sensitive. Bearish Bias: If the HTF EMA is sloping downward, the MACD is dragged lower, prioritizing short-side momentum. Key Features MTF Integration: Analyze the daily trend while trading on the 5m or 15m chart. Dynamic Histogram: The visual fill between the MACD and its momentum provides a clear look at when momentum is accelerating or exhausting relative to the trend. Customizable Sensitivity: Adjust the lookback period for the trend slope to match your specific asset’s volatility. How to Trade Trend Confirmation: Look for the MACD line (the columns) to cross the zero line. This indicates that both short-term momentum and long-term trend are in alignment. Momentum Exhaustion: When the inner histogram (the fill) begins to shrink back toward the MACD columns, it suggests a potential pull-back or profit-taking zone. Divergences: Look for price making a new high while the MACD Advanced makes a lower high; the trend-weighting makes these divergences more prominent during trend exhaustion. Technical Approach Normalization of MTF Data: The script uses request.security with barmerge.gaps_off to ensure that higher timeframe data is mapped correctly to the current chart bars without creating visual "steps" or "staircases." The Delta Calculation: Instead of a simple boolean filter, we calculate a relative value r = EMA_ current/EMA_ lookback By adding r - 1 to the standard MACD calculation, we create a non-linear offset. This means the more aggressive the trend, the more the MACD is displaced. Visual Architecture: The script uses two plot outputs (g1 and g2) and a fill() function. This creates a "ribbon" effect that is more intuitive than the standard "centered" histogram, as it shows momentum relative to the trend-weighted line rather than a static zero axis. Since this version of the MACD is "weighted" by a higher-timeframe trend, it changes how you read common signals. On a standard chart, the MACD just shows momentum; here, it shows momentum relative to the "big picture" slope. Here is how to effectively use the MACD Advanced on a live chart: 1. Finding the "Trend-Momentum" Alignment The most powerful signal from this indicator occurs when the Trend Factor and the Momentum Histogram both agree. The Bullish Setup: Look for the MACD columns (the "base") to be above the zero line, while the inner fill (the "histogram") is bright green. Interpretation: The Daily trend is up, and the intraday momentum is also accelerating.The Bearish Setup: Look for the MACD columns to be below the zero line, while the inner fill is bright red. Interpretation: The Daily trend is down, and intraday selling pressure is increasing. 2. Reading the "Hidden" Divergence Because we’ve added a trend offset r-1, this indicator identifies "Trend Exhaustion" better than a standard MACD. Standard Divergence: Price makes a higher high, but MACD makes a lower high. Advanced Divergence: If the price makes a higher high, but the MACD Advanced is flat or lower, it means the Higher Timeframe EMA is losing its slope. Even if the price looks strong, the "Big Picture" is flattening out. This is often a precursor to a major reversal. 3. The "Snap-Back" Trade (Mean Reversion) Since you are using a 200 EMA as the trend filter, the indicator will naturally pull back toward zero when the price gets too far from that average. The Signal: If the MACD Advanced is "overextended" (very high or very low relative to its recent history) and the inner histogram crosses back toward the zero line, it’s a sign that the price is likely to "snap back" to the mean. Application: This is great for exiting a trend trade before the actual trend reversal happens. Pro Tip: The "Zero-Cross" Filter In a strong uptrend (Daily EMA 200 is rising), the MACD Advanced will rarely cross below zero. If you see the histogram dip into the red while the MACD columns stay green/above zero, treat that as a "Buy the Dip" opportunity rather than a "Sell" signal. The Chart shows regular MACD vs ADVANCED MACD one can easily observe the difference between them and the trend is identified easily.
Indicador Pine Script®
por traderharikrishna
EMA Crossover Pro + Dynamic Targets + Live Dashboard with Time ETA Method — choose between three modes: ATR-Based — divides distance to target by the current ATR value. More stable since ATR reflects actual volatility. Linear Velocity — divides distance by the average absolute price move per bar over the last N bars. More responsive to recent momentum. Both — shows both estimates side by side in the dashboard. Velocity Lookback — how many bars back to measure average speed (default 20). Show ETA labels on chart — toggles floating labels to the right of each target line. Dashboard additions (rows 9–13): A header row showing ⏱ ETA TO TARGET with the active method. One row per target (TG1–TG4) showing: Human-readable time estimate: < 1 min / ~45 min / ~2h 30m / ~1d 4h Bar count in parentheses: (12 bars) Percentage distance remaining: (1.23% away) Once a target is hit it shows ✅ HIT in gray. On-chart labels: small navy labels appear just to the right of each un-hit target line showing the ETA inline. Note: These are statistical estimates based on recent volatility/speed — not predictions. Strong trend moves will arrive faster, consolidations slower. Use them as a rough waiting-time guide rather than a guarantee.
Indicador Pine Script®
por demantprasad
Quant Reversal Index [AlgoPoint]Overview The AlgoPoint Quant Reversal Index is a normalized (0-100) oscillator designed to measure mean-reverting tendencies in financial time series. By combining the Hurst Exponent, an Autoregressive AR(1) Half-Life model, and Ornstein-Uhlenbeck (OU) boundaries, this indicator evaluates whether an asset is in a trending or ranging regime and calculates its proportional deviation from a dynamic historical mean. Mathematical Core & Components This indicator relies on three primary quantitative concepts: 1. Hurst Exponent ( H ) : Approximated using the log variance ratio of price differences over distinct time lags. It determines the current market regime: - H < 0.5: Indicates a Mean Reverting (ranging) regime. - H > 0.5: Indicates a Trending (momentum) regime. 2. AR(1) Half-Life : Calculates the estimated time (in bars) it takes for the price to revert to its mean. This is derived from the linear regression slope (covariance/variance) of price changes against previous prices. This dynamic half-life dictates the lookback length for the oscillator's mean and standard deviation. 3. Ornstein-Uhlenbeck (OU) Conversion : Calculates the mean ($\mu$) and standard deviation ($\sigma$) over the dynamic half-life period to establish upper and lower OU boundaries. The current price is then normalized into a 0 to 100 index based on its position relative to these boundaries. Visual Elements & Interpretation - The 0-100 Scale : * A value of 50 represents the dynamic mean ($\mu$). - A value of 0 represents the Lower OU boundary (Standard Deviation limit). - A value of 100 represents the Upper OU boundary. - Values extending beyond 0 or 100 highlight statistical extremes. - Dynamic Regime Background : When the Hurst Exponent is strictly below the user-defined threshold (default 0.5), the oscillator's background is highlighted. This visually confirms that the asset exhibits stationary, mean-reverting properties. If the background is not highlighted, the asset is considered to be trending, and mean-reversion logic is disabled. - Signal Generation : The indicator plots "Buy" and "Sell" labels strictly when the market is in a confirmed mean-reverting regime ($H < 0.5$) AND the oscillator crosses back into the 0-100 range from an extreme (e.g., crossing above 0 or crossing below 100). All signals use barstate.isconfirmed to prevent repainting. - Quant Dashboard : Displays real-time data for the current market regime, exact Hurst Exponent value, and the estimated Half-Life in bars. How to Use - Wait for the background to highlight, confirming a mean-reverting regime. - Monitor the index as it reaches extreme values (< 0 or > 100). - A statistical reversion is indicated when the index crosses back inside the core 0-100 range. - Signals should be combined with broader macro analysis and strict risk management protocols. Alerts The indicator includes standard alert conditions and dynamic JSON webhook strings for automated trading systems, providing variables such as asset name, price, hurst value, and half-life duration on signal generation.
Indicador Pine Script®
por Iamalala
CUSUM Trend [AlgoPoint]The CUSUM Trend by AlgoPoint brings hedge-fund-level quantitative analysis directly to your charts. While standard moving averages suffer from lag and fakeouts, this script utilizes an advanced Cumulative Sum (CUSUM) algorithm, deeply re-engineered with adaptive volatility and volume-weighted metrics to identify true market regimes. It is designed to protect traders from choppy markets and explicitly capture high-probability, volume-backed trend breakouts before they become obvious to the retail crowd. 🧠 Under the Hood: The Quant Mechanics Instead of a basic price deviation model, the CUSUM Trend operates on four advanced pillars: - Zero-Lag Kernel (Ehlers SuperSmoother): We replaced traditional MAs with John Ehlers' SuperSmoother filter to establish a mathematically zero-lag baseline. - Volume-Weighted Residuals: Price deviations (residuals) only build up the CUSUM pressure pools if they are backed by institutional volume. Low-volume spikes are treated as noise and explicitly filtered out. - Fractal Dimension (Adaptive Thresholds): By using a proxy for the Hurst Exponent, the engine "reads" the market state. In choppy conditions, the bands expand defensively to prevent fakeouts. In trending conditions, they tighten aggressively. - Asymmetric Volatility: The algorithm calculates upside and downside variance independently, recognizing that market drops are often much sharper than rallies. 📊 How to Read the Chart - The Dynamic Trend Cloud: The asymmetric bands represent the institutional pressure thresholds. When price breaks and confirms outside this zone, a regime change (Bull/Bear trend) is triggered. - Gradient Candles: Candle colors dynamically shift based on the built-up CUSUM pressure. Bright green/red indicates extreme breakout momentum, while faded colors represent a stable trend or a ranging market. - Trailing Stop: Once a trend is established, the opposite side of the threshold acts as a dynamic trailing stop line, allowing you to ride the trend to its mathematical exhaustion. - Hybrid Dashboard: Monitor the internal breakout pressure, fractal regime, and exact trailing stop value in real-time without cluttering your main view. ⚙️ How to Use It - Sensitivity Profiles: Choose between Fast (Day Trade), Balanced (Swing), or Slow (Trend) in the settings. The engine automatically recalculates all internal variance and fractal thresholds based on your choice. - Automation Ready: Fully compatible with webhook automation (3Commas, PineConnector, etc.) via dynamic JSON alerts triggering on confirmed regime breakouts. Disclaimer: This indicator is for educational and analytical purposes only. Past performance is not indicative of future results.
Indicador Pine Script®
por Iamalala
5
StealthTrail SuperTrend [WillyAlgoTrader]📡 StealthTrail SuperTrend is an overlay indicator that takes the classic SuperTrend concept and adds five layers of noise reduction: an adaptive multiplier that scales bands to current volatility, a flip cushion that requires price to push beyond the band by a configurable ATR distance before confirming a trend change, a cooldown timer that enforces a minimum gap between flips, an RSI momentum filter that blocks trend changes without directional confirmation, and a composite trend strength score (0–100) that quantifies how committed the current trend is. The result is a SuperTrend that stays in trends longer, flips less often in chop, and gives you a real-time confidence reading on every trend leg. 🧩 WHY THESE COMPONENTS WORK TOGETHER The standard SuperTrend has one well-known problem: whipsaws. In ranging or choppy markets, price repeatedly crosses the band boundary, triggering rapid bullish→bearish→bullish flips that produce losing signals. The root causes are: 1. Fixed multiplier — the band width doesn't adapt when volatility contracts or expands, so the same multiplier is too tight in high-vol and too wide in low-vol 2. Instant flip — a single close beyond the band triggers a trend change, even if it's a minor wick-driven overshoot 3. No recovery time — the indicator can flip back on the very next bar, creating same-bar or next-bar whipsaws 4. No momentum context — the flip happens regardless of whether momentum actually supports the new direction StealthTrail addresses each root cause with a dedicated mechanism: Adaptive multiplier → solves #1 : bands automatically widen when ATR is above its average (high volatility) and tighten when below (low volatility), keeping the band distance proportional to current market conditions. Flip cushion → solves #2 : price must close beyond the band by an additional cushion (configurable fraction of ATR) before the flip is accepted, filtering out marginal crossovers. Cooldown timer → solves #3 : after a flip, the indicator ignores further flip attempts for N bars (default 3), preventing rapid back-and-forth in chop. Momentum filter → solves #4 : a bullish flip requires RSI above a threshold, a bearish flip requires RSI below the symmetric threshold, confirming that momentum actually supports the direction change. Trend strength scoring → provides context : combines price distance from band + RSI alignment into a 0–100 score, so you know whether the current trend is strong, fading, or about to flip. These five mechanisms work as a pipeline: the adaptive multiplier sets the right band width → the cushion prevents marginal crossovers → the cooldown prevents rapid reversals → the momentum filter confirms directional support → and the strength score tells you how committed the trend is. Removing any one layer reintroduces the specific whipsaw pattern it was designed to prevent. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Adaptive volatility multiplier. Instead of using a fixed ATR multiplier (classic SuperTrend), StealthTrail scales the multiplier dynamically: adaptiveMult = baseMultiplier × (currentATR / SMA(ATR, adaptationPeriod)) Where currentATR = ta.atr(atrLength), and SMA(ATR) is the volatility baseline over the adaptation smoothing period (default 55 bars). The ratio currentATR / averageATR measures whether volatility is currently above (ratio > 1.0) or below (ratio < 1.0) its recent norm. The adaptive multiplier is clamped between configurable min (default 1.0) and max (default 5.0) to prevent extreme values. When volatility spikes (e.g., news event), the multiplier increases → bands widen → the trend doesn't flip on a volatility-driven spike. When volatility compresses (consolidation), the multiplier decreases → bands tighten → the indicator catches the breakout earlier. This can be toggled off for classic fixed-multiplier behavior. 2️⃣ Flip cushion — requires extra ATR distance beyond the band. A standard SuperTrend flips the moment close crosses the band. StealthTrail requires: Bullish flip: close > upperBand + cushion × ATR Bearish flip: close < lowerBand − cushion × ATR The cushion (default 0.15× ATR) creates a dead zone around the band boundary. Price must push meaningfully beyond the band — not just touch it — before a flip is accepted. This single mechanism eliminates a large portion of marginal crossover whipsaws where price briefly clips the band before returning. Setting the cushion to 0.0 restores classic SuperTrend behavior (flip exactly at the band). 3️⃣ Signal cooldown timer. After every confirmed trend flip, a counter starts. No new flip can occur for N bars (default 3). This prevents the most destructive whipsaw pattern: a bearish flip immediately followed by a bullish flip on the next bar (or vice versa), which generates two consecutive losing signals. The cooldown is tracked as barsSinceFlip, incremented each bar, and checked before any flip is processed. Only when barsSinceFlip ≥ cooldownInput can a new flip occur. This is independent of the cushion — both must pass. 4️⃣ RSI momentum filter. On every raw trend flip (band crossed + cushion passed + cooldown passed), an additional RSI check is applied: Bullish flip requires: RSI(rsiLength) ≥ rsiThreshold (default 45) Bearish flip requires: RSI(rsiLength) ≤ (100 − rsiThreshold) = 55 This is deliberately asymmetric around the center by design (threshold 45, not 50): a bullish flip only needs RSI ≥ 45 (slightly below center), meaning it passes unless momentum is actively bearish. A bearish flip only needs RSI ≤ 55. This permissive threshold blocks the worst counter-momentum flips without being so strict that it delays legitimate trend changes. When the filter blocks a flip, the trend direction does not change and the band continues ratcheting in the original direction. An optional "Show Filtered Flips" setting displays a muted dot where a flip was blocked — useful for understanding filter behavior. 5️⃣ Composite trend strength score (0–100). On every bar, a strength score is calculated from two components: Distance score (0–50): How far price is from the SuperTrend band, measured in ATR units: distScore = min(|close − band| / ATR × 20, 50) A large distance means price is well away from the band — the trend has room before a potential flip. Momentum score (0–50): How well RSI aligns with the current trend direction: For bullish: momScore = min(max(RSI − 50, 0), 50) For bearish: momScore = min(max(50 − RSI, 0), 50) RSI reading that confirms the trend direction contributes up to 50 points. Total: strength = round(min(distScore + momScore, 100)) Classification: Strong ≥ 70, Medium ≥ 40, Weak < 40. Displayed in the dashboard and included in alert messages. This gives you a real-time confidence reading: a Strong reading means price is far from the band with confirming momentum — the trend is well-established. A Weak reading means price is near the band or momentum is fading — a flip may be imminent. 6️⃣ Filtered flip visualization. When "Show Filtered Flips" is enabled, a muted gray dot appears on the band at every point where a raw flip occurred but was blocked by a filter (momentum or volume). This is a transparency feature: instead of silently suppressing signals, the indicator shows you exactly where it intervened and what it filtered out. You can evaluate whether the filter saved you from a bad signal or delayed a good one. 7️⃣ Gradient fill between price and band. The space between close and the SuperTrend band is filled with a directional gradient: bullish trends fade from green (near band) to transparent (near price), bearish trends fade from red to transparent. The gradient uses fill() with top/bottom color mapping — the visual intensity naturally increases as the band is further from price, creating an intuitive "strength of trend" visual without needing to read the dashboard. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — ATR calculation: ta.atr(atrLength) with a high-low fallback for early bars where ATR is unavailable. Step 2 — Adaptive multiplier: If adaptive mode is on: multiplier = baseMultiplier × (ATR / SMA(ATR, adaptSmoothing)), clamped to . If off: multiplier = baseMultiplier (fixed). Step 3 — Band calculation: upperBand = hl2 + multiplier × ATR. lowerBand = hl2 − multiplier × ATR. Bands are calculated from hl2 (midpoint) for symmetry. Step 4 — Band ratcheting: In an uptrend, the lower band can only rise — it is set to max(current_lowerBand, previous_band). In a downtrend, the upper band can only fall — min(current_upperBand, previous_band). This ratcheting prevents the band from retreating during a trend, which would prematurely trigger a flip. Step 5 — Flip detection: In an uptrend: if close < band − cushion × ATR AND barsSinceFlip ≥ cooldown → raw bearish flip. In a downtrend: if close > band + cushion × ATR AND barsSinceFlip ≥ cooldown → raw bullish flip. On flip, the band resets to the opposite band value and barsSinceFlip resets to 0. Step 6 — Filter gate: If RSI momentum filter is on: bullish flip requires RSI ≥ threshold, bearish requires RSI ≤ (100 − threshold). If volume filter is on: volume must exceed SMA(volume, 20) × multiplier. Both must pass for the flip to become a confirmed signal. If either fails, the flip is recorded as "filtered" (visualizable) but the trend direction reverts — no signal is emitted. Step 7 — Signal emission: Confirmed flip + barstate.isconfirmed + warmup check → Buy (▲) or Sell (▼) label appears. Strength score is calculated and updated. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — the adaptive SuperTrend band appears immediately 2. Green band = bullish trend, red band = bearish trend 3. ▲ label below bar = confirmed buy (trend flipped bullish through all filters) 4. ▼ label above bar = confirmed sell (trend flipped bearish) 5. Check dashboard for strength score — Strong trends are more reliable 👁️ Reading the chart: — 🟢 Green step-line = SuperTrend band in bullish mode (following lower band) — 🔴 Red step-line = SuperTrend band in bearish mode (following upper band) — 🟢 Large green dot on band = confirmed bullish flip — 🔴 Large red dot on band = confirmed bearish flip — ⚫ Gray dot on band (optional) = raw flip that was blocked by a filter — 🟩🟥 Gradient fill = visual trend strength (denser = further from band = stronger trend) — Background tint (optional) = overall trend direction shading 📊 Dashboard fields: — Trend: current direction (Bullish / Bearish) — Signal: last confirmed signal with bars elapsed — Strength: 0–100 score with classification (Strong / Medium / Weak) — Multiplier: current adaptive multiplier value (e.g., 2.83×) — RSI: current RSI reading — Timeframe and version 🔧 Tuning guide: — Too many whipsaws: increase Flip Cushion (0.2–0.3), increase Cooldown (4–6), enable Momentum Filter — Signals too late: decrease Flip Cushion (0.05–0.10), decrease Cooldown (1–2), lower Base Multiplier — Bands too wide in low-vol: decrease Min Adaptive Mult (0.8), decrease Adaptation Smoothing (30–40) — Bands too tight in high-vol: increase Max Adaptive Mult (5.0–6.0), increase Base Multiplier — Ranging/choppy market: enable Momentum Filter, increase Cooldown, increase Cushion — all three work together to suppress chop signals — Strong trending market: decrease Cushion (0.05), decrease Cooldown (1), disable Momentum Filter — let the indicator react faster to trend continuation ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — ATR Length (default 13): volatility measurement period — Base Multiplier (default 2.5): base ATR multiplier for band width — Adaptive Multiplier (default On): scale bands by current/average ATR ratio — Adaptation Smoothing (default 55): SMA lookback for ATR baseline 🔍 Filters: — Flip Cushion (default 0.15× ATR): extra distance beyond band required for flip — Signal Cooldown (default 3 bars): minimum gap between flips — Momentum Filter (default On): RSI confirmation for trend changes — RSI Length (default 13) / RSI Threshold (default 45): momentum filter parameters — Volume Filter (default Off): above-average volume confirmation 🔧 Advanced: — Min Adaptive Mult (default 1.0): floor for adaptive scaling — Max Adaptive Mult (default 5.0): ceiling for adaptive scaling 🎨 Visual: — Band line, gradient fill, filtered flip dots, trend background (all toggleable) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BUY — ticker, price, band level, timeframe, strength score — 🔴 SELL — same fields Both support plain text and JSON webhook format. Bar-close confirmed, filter-gated, cooldown-enforced. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. Band ratcheting is deterministic — the band value on a closed bar never changes retroactively. A warmup period (max of ATR length, adaptation smoothing, and 50 bars) prevents signals during insufficient data. — 📐 This is not a standard SuperTrend. The adaptive multiplier, flip cushion, cooldown, and momentum filter fundamentally change the signal generation logic. A classic SuperTrend flip would occur significantly earlier (or later, depending on volatility) than a StealthTrail flip — they are not interchangeable. — ⚖️ The flip cushion and cooldown work independently . Both must pass for a flip to occur. In chop, the cooldown may block a flip even after the cushion is satisfied, or the cushion may prevent a flip even after the cooldown expires. This dual-gate design is intentional. — 📊 Trend strength is a real-time reading , not a prediction. A strength of 85 means price is far from the band with confirming momentum right now — it does not predict how long the trend will continue. — 🔄 "Filtered Flips" (gray dots) show where a trend change would have occurred in a classic SuperTrend but was blocked by the momentum or volume filter. This transparency helps you understand the filter's impact and tune the threshold accordingly. — 📈 Volume filter auto-disables on instruments without volume data (many forex pairs). On these instruments, only the momentum filter, cushion, and cooldown provide noise reduction. — 🛠️ This is a trend-following signal tool , not an automated trading bot. It identifies trend direction, scores trend strength, and generates filtered signals — trade decisions remain yours. — 🌐 Works on all markets and timeframes. The adaptive multiplier self-calibrates to any instrument's volatility profile.
Indicador Pine Script®
por WillyAlgoTrader
11
Adaptive Momentum Classifier [WillyAlgoTrader]📡 Adaptive Momentum Classifier is an overlay indicator that evaluates four independent market dimensions — momentum, trend, volatility position, and money flow — ranks each one against its own historical distribution using percentile scoring, and combines them into a single composite score (0–100%) that drives signal generation. Signals fire only when the composite score crosses a threshold with minimum feature agreement across axes, passes through five independent filters, and is confirmed on bar close. The core idea: instead of using one indicator to generate signals, this tool treats four market dimensions as independent measurement axes, normalizes each to a uniform 0–1 scale via percentile ranking, weights and combines them into a consensus score, and then requires both the score threshold AND a minimum number of agreeing axes before allowing a signal. This multi-axis + agreement gate architecture filters out situations where a single strong reading (e.g., RSI spike) would trigger a false signal while the other dimensions disagree. 🧩 WHY THESE COMPONENTS WORK TOGETHER Traditional signal generators face a fundamental problem: a single indicator measures one market dimension. RSI measures momentum speed but is blind to trend direction. MACD measures trend but ignores where price sits within its volatility envelope. Volume-based indicators measure flow but know nothing about price momentum. Using any one of these alone produces signals that ignore critical market context. Simply combining indicators with AND/OR logic (e.g., "buy when RSI > 50 AND MACD > 0") doesn't solve the deeper problem: the indicators are on different scales, have different distributions, and their raw values aren't comparable. RSI = 55 and MACD histogram = 0.002 both "lean bullish" but you can't meaningfully average them. This indicator solves both problems: Step 1 — Orthogonal axis design: Each axis measures a genuinely different market dimension. Momentum (how fast), Trend (which direction), Volatility Position (where within the range), Flow (where is money going). They are deliberately chosen to be as independent as possible. Step 2 — Percentile normalization: Each axis's raw value is ranked against its own recent history. "Is this RSI-ROC blend reading higher than 75% of the last 89 readings?" This converts every axis to a uniform 0–1 scale where 0.5 = median. Now all four axes are directly comparable and combinable. Step 3 — Weighted consensus: The four normalized scores are combined with weights (Trend 1.2×, Momentum 1.0×, Flow 1.0×, Volatility 0.8×) into a single composite score. The weighting reflects that trend conviction is slightly more predictive than raw momentum. Step 4 — Agreement gate: Even with a high composite score, the signal is blocked unless at least half the axes independently agree (each reading > 0.6 for bullish or < 0.4 for bearish). This prevents one extreme axis from dominating the composite and producing a false consensus. Step 5 — Filter stack: Five independent filters (trend alignment, volatility regime, volume, score acceleration, HTF bias) provide additional context gates. The signal only fires when all enabled filters pass simultaneously. No single component is useful alone. Percentile ranking without multiple axes just normalizes one indicator. Multiple axes without percentile ranking can't be meaningfully combined. A combined score without the agreement gate can be dominated by one outlier. And all of this without filters would still fire in unsuitable market conditions. The full pipeline is required. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Four-axis percentile scoring engine. Each axis is built from two sub-components blended together, then converted to a 0–1 percentile rank against the scoring lookback window (default 89 bars). The percentile function counts what fraction of historical values are below the current value — producing a uniform distribution with no dead zones (unlike z-score normalization which compresses values near the mean). Axis 1 — Momentum (weight 1.0): Sub-components: RSI(13) centered at 50, and ROC(9). Each is percentile-ranked independently, then blended 60% RSI + 40% ROC. RSI provides stable momentum reading, ROC provides faster reaction to price acceleration. The blend captures both speed (ROC) and sustained momentum (RSI) in a single axis. Axis 2 — Trend (weight 1.2): Sub-components: MACD histogram (12/26/9), and EMA slope normalized by ATR. EMA slope = (EMA − EMA ) / (ATR × 5), making it scale-independent across instruments. Each percentile-ranked, blended 60% MACD + 40% slope. MACD histogram captures momentum of the trend itself (acceleration), while EMA slope captures sustained directional movement. This axis receives the highest weight (1.2) because directional conviction is the strongest single predictor of continuation. Axis 3 — Volatility Position (weight 0.8): Sub-components: Bollinger %B (21-period, showing where price sits within the band envelope, 0 = lower band, 1 = upper band), and ATR expansion ratio (current ATR / SMA of ATR over lookback). Combined as: (BB%B − 0.5) × min(ATR_ratio, 2.5), then percentile-ranked. This creates a directional volatility signal: price at upper band during volatility expansion scores high (strong bullish breakout), price at upper band during contraction scores lower (potential mean-reversion). The ATR ratio is capped at 2.5 to prevent extreme volatility spikes from distorting the axis. Lower weight (0.8) reflects that volatility position is a confirming factor, not a primary driver. Axis 4 — Flow (weight 1.0, auto-disabled without volume): Sub-components: MFI(13) centered at 50, and OBV slope (smoothed OBV EMA(21), slope = (OBV_EMA − OBV_EMA ) / |OBV_EMA|). Each percentile-ranked, blended 50/50. MFI combines price and volume into a single money flow reading, OBV slope shows whether accumulation is accelerating or decelerating. On instruments without volume data (forex), this axis returns 0.5 (neutral) and its weight drops to 0, so the composite score is calculated from three axes only. 2️⃣ Composite score with symmetric thresholds. The four axes are combined: composite = (1.0 × momentum + 1.2 × trend + 0.8 × volatility_position + 1.0 × flow) / total_weight. Result is 0–1 where 0 = maximum bearish consensus, 0.5 = neutral, 1 = maximum bullish consensus. A buy signal fires when the composite crosses above the threshold (default 0.618). A sell signal fires when it crosses below (1 − threshold = 0.382). This creates symmetric entry conditions: the same strength of consensus is required for both directions. 3️⃣ Feature agreement gate. Independent of the composite score, each axis is evaluated for directional agreement: > 0.6 = bullish vote, < 0.4 = bearish vote, 0.4–0.6 = abstain. The agreement ratio = max(bull_votes, bear_votes) / active_axes. Signals require agreement ≥ 0.5 (at least half the axes independently confirming the same direction). This prevents false signals from composite score averaging: if momentum = 0.95 but trend = 0.3 and volatility = 0.4, the composite might cross the threshold but only 1/4 axes agree — signal is blocked. 4️⃣ Score acceleration filter. The rate of change of the composite score: acceleration = score − score . Signals require |acceleration| ≥ Min Score Acceleration (default 0.02). This filters out slow-drift crossovers where the score gradually creeps past the threshold without any decisive move — these typically represent noise, not genuine momentum shifts. Only fast, decisive threshold crosses produce signals. 5️⃣ Five-filter stack. Each filter is independently toggleable: — Trend Alignment (default On): price must be above EMA(50) for longs, below for shorts — prevents counter-trend entries — Volatility Regime (default On): ATR ratio must be between 0.4 and 3.0 — suppresses signals during dead markets (ATR < 40% of average) and crash conditions (ATR > 300% of average) — Volume Confirmation (default On): volume must exceed 80% of its 20-period SMA — confirms market participation. Auto-disabled on instruments without volume data — Score Acceleration (default 0.02): described above. Set to 0 to disable — Higher TF Bias (default disabled): when a timeframe is selected, price must be above/below EMA(21) on the higher timeframe for longs/shorts. Uses + lookahead_on for non-repainting HTF data 6️⃣ Direction lock — no consecutive same-direction signals. After a buy signal fires, the next signal can only be a sell (and vice versa). This prevents signal clustering where multiple buy signals fire in sequence during a strong trend — you get one entry per direction until the trend reverses. 7️⃣ Four sensitivity presets. Each preset overrides two parameters simultaneously: — Conservative : threshold 0.80, lookback 150 — requires very strong consensus over a long history, fewer but higher-conviction signals — Default : uses your manual settings (threshold 0.618, lookback 89) — Aggressive : threshold 0.60, lookback 60 — lower bar for signals, shorter history, faster adaptation — Scalping : threshold 0.55, lookback 40 — minimum consensus required, very short history, designed for 1–5M charts The lookback affects all four axes simultaneously (percentile ranking window), so the entire scoring engine adapts as a unit. 8️⃣ Dynamic trend band. A visual EMA ± 0.5× ATR band colored by the composite score: green (score > 55%), red (< 45%), yellow (neutral). This provides an at-a-glance trend context without needing to read the dashboard. The band width adapts to volatility automatically. 9️⃣ Signal strength classification. Each signal is classified based on the composite score at the moment of firing: Strong (score ≥ 85%), Medium (≥ 75%), Weak (< 75%). Displayed in the dashboard and available in alert messages. This helps you size positions or filter setups based on conviction level. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Raw feature calculation: RSI(13), ROC(9), MACD(12/26/9) histogram, EMA slope (normalized by ATR), BB%B(21), ATR ratio, MFI(13), OBV slope — eight raw values computed from price and volume. Step 2 — Percentile ranking: Each raw value is ranked against its own history over the scoring lookback (default 89 bars). The pctRank function iterates through the lookback window and counts what fraction of past values are below the current value. Result: 0.0 (lower than all history) to 1.0 (higher than all history). This normalization is performed for each of the eight sub-components independently. Step 3 — Axis blending: Each pair of sub-components is blended into one axis score: momentum = 0.6 × pctRSI + 0.4 × pctROC, trend = 0.6 × pctMACD + 0.4 × pctSlope, volatility = pctVolPosition (single combined raw), flow = 0.5 × pctMFI + 0.5 × pctOBV. Step 4 — Weighted composite: composite = (1.0 × momentum + 1.2 × trend + 0.8 × volatility + 1.0 × flow) / total_weight. On instruments without volume: flow weight = 0, total_weight = 3.0 instead of 4.0. Step 5 — Threshold crossing: Buy triggers when composite crosses above the threshold (default 0.618) from below. Sell triggers when composite crosses below (1 − 0.618 = 0.382) from above. Both require barstate.isconfirmed. Step 6 — Agreement check: Each axis is independently classified as bullish (> 0.6), bearish (< 0.4), or neutral. At least 50% of active axes must agree with the signal direction. Step 7 — Filter stack: All five enabled filters must pass. Any failure blocks the signal. Step 8 — Direction lock: Signal must be opposite to the last confirmed signal. Step 9 — Emission: Buy (▲) or Sell (▼) label placed on the confirmed bar. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator to your chart 2. Select a sensitivity preset matching your style (or use Default) 3. The trend band immediately shows the current momentum bias (green/red/yellow) 4. Wait for a ▲ (buy) or ▼ (sell) label — check the dashboard for score and strength 5. Use the agreement ratio (e.g., 3/4) to confirm multi-axis consensus 👁️ Reading the chart: — 🟢 Green trend band = bullish momentum (score > 55%) — 🟡 Yellow trend band = neutral / transition zone — 🔴 Red trend band = bearish momentum (score < 45%) — 🟢 ▲ label below bar = confirmed buy signal — 🔴 ▼ label above bar = confirmed sell signal — Band width = current volatility (wider = more volatile) 📊 Dashboard fields: — Trend: current composite direction (Bullish / Bearish / Neutral) — Last Signal: most recent signal with bars elapsed — Strength: signal quality (Strong / Medium / Weak) — Score: current composite as percentage — Agreement: how many axes confirm (e.g., 3/4) — Volatility: ATR regime (High / Normal / Low) — TF and version 🔧 Tuning guide: — Too many signals: increase threshold (0.70–0.85), enable more filters, use Conservative preset — Too few signals: decrease threshold (0.55–0.60), reduce lookback (50–70), use Aggressive preset — Signals too late: shorten RSI/ROC/MACD lengths, reduce lookback — Too many false signals in ranging markets: enable ADX-aware Volatility Regime filter, increase Min Score Acceleration to 0.03–0.05 — Scalping 1–5M: use Scalping preset (threshold 0.55, lookback 40), lower filter aggressiveness — Swing 4H–1D: use Conservative preset (threshold 0.80, lookback 150), enable HTF bias filter ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Sensitivity Preset (default Default): Conservative / Default / Aggressive / Scalping — Scoring Lookback (default 89): percentile ranking window — higher = more stable, lower = faster adaptation — Signal Threshold (default 0.618): minimum composite score for buy signals (sell = 1 − threshold) 📊 Feature Engine: — RSI Length (default 13) / ROC Length (default 9): momentum axis sub-components — MACD Fast/Slow/Signal (default 12/26/9): trend axis MACD — Bollinger Length (default 21): volatility position axis — MFI Length (default 13) / OBV Smooth (default 21): flow axis 🔍 Filters: — Trend Alignment (default On): EMA(34) trend direction gate — Volatility Regime (default On): ATR ratio 0.4–3.0 range gate — Volume Confirmation (default On): volume > 80% of 20-SMA — Min Score Acceleration (default 0.02): minimum speed of score change — Higher TF Bias (default Off): optional HTF EMA(21) alignment 🎨 Visual: — Trend band (EMA ± 0.5× ATR, scored coloring) — Background tint / Dynamic bar coloring (optional) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BUY — ticker, price, timeframe, composite score — 🔴 SELL — same fields Both support plain text and JSON webhook format. Bar-close confirmed, direction-locked (no consecutive same-direction alerts). ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. HTF bias uses + lookahead_on. A warmup period (max of lookback, MACD slow period, and trend EMA length, minimum 50 bars) prevents signals during insufficient data. — 📐 The composite score is not a probability . A score of 80% means four market dimensions, percentile-ranked against recent history, strongly agree on bullish conditions. It measures consensus quality, not prediction accuracy. — ⚖️ Percentile ranking is relative to the lookback window . A score of 0.9 means "higher than 90% of the last N bars" — it does not mean the same thing on different instruments or timeframes. Each chart creates its own distribution. — 📊 The Flow axis (MFI + OBV) auto-disables on instruments without volume data (many forex pairs). The composite then runs on three axes with adjusted total weight. Signal quality is slightly lower without flow data but the other three axes remain fully functional. — 🔒 Direction lock means you get one signal per trend leg . After a buy, only a sell can fire next. This prevents clustering but means you won't get "add to position" signals — the tool provides one entry per direction. — 🔄 The agreement gate requires ≥ 50% of axes to independently confirm. On 4-axis instruments, this means ≥ 2. On 3-axis (no volume), ≥ 2. This is a deliberately moderate threshold — raising it to 75%+ would make signals extremely rare. — 🛠️ This is a signal and analysis tool , not an automated trading bot. It classifies momentum consensus and generates signals — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume-dependent features auto-adapt to available data.
Indicador Pine Script®
por WillyAlgoTrader
AxMan Exhaustion Detection Reversal Rider1. The "Exhaustion" Phase (The Warning) The strategy first looks for a Yellow or Orange Diamond. This isn't a signal to buy yet; it’s a warning that the current trend is dying. The Logic: It looks for a massive spike in volume combined with an "over-extended" RSI. The Visual: Imagine a car slamming on its brakes at high speed. The tires smoke (Volume Spike), and the car skids (RSI Oversold). The Filter: This prevents you from entering a trade when the market is "boring" or slowly drifting. You only care about the moments of peak panic or peak euphoria. 2. The "Locked & Loaded" Window (The 12-Candle Rule) Once that "Exhaustion" diamond appears, the chart background changes color. The strategy is now hunting for a trade. The Logic: It gives the market exactly 12 candles to prove it can reverse. Why 12? If the market doesn't reverse within 12 candles, the "exhaustion" was just a pause, and the old trend is likely to continue. This rule keeps you out of "dead zones" where the price just goes sideways. 3. The "Trigger" (The Fast Entry) This is where the strategy beats traditional indicators. It doesn't wait for a fancy moving average crossover. The Logic: As soon as a candle closes above the high of the previous candle (for a Long) or below the low (for a Short), it enters. The Goal: It gets you in at the absolute "bend" of the trend. By the time most traders see a trend change, this strategy is already in profit. 4. The "Ride" (The Exit) This strategy is not about "scalping" small profits. It is designed to stay in the trade as long as the trend is healthy. The Exit Rule: It only closes the trade if: Opposite Exhaustion: It sees the same "panic" signal happening on the other side (The Target). Trend Break: The price closes on the wrong side of the 50 EMA (The Safety Net). The Result: This allows you to "Ride the Wave" during massive moon-shots or market crashes, often staying in a single trade for days on the 4H chart. Why It’s "Adaptive" Because it uses standard deviations for volume and previous candle breaks for entry, it behaves correctly whether you are looking at a 15-minute chart (fast day trading) or a Daily chart (long-term investing). It scales its "expectations" based on the timeframe you choose. Summary in one sentence: "We wait for the sellers to get exhausted, wait for the buyers to step in and break one high, and then we hold until the buyers get tired too."
Estrategia Pine Script®
por Axj_Stev
SmartTrend Pro [WillyAlgoTrader]📡 SmartTrend Pro is an overlay indicator built around a custom trend detection algorithm — the Adaptive Volatility Trend Engine (AVTE) — that replaces the standard Supertrend approach with Ehlers Super Smoother filtering and Kaufman adaptive ATR bands. Every trend flip is scored by a multi-factor confluence system (0–100) before becoming a signal. The result is a trend-following tool that adapts to current volatility conditions, filters out low-confidence entries, and provides dynamic TP/SL levels — all with full anti-repaint protection. 🧩 WHY THESE COMPONENTS WORK TOGETHER A traditional Supertrend uses a simple moving average of True Range to calculate bands. This works in steady markets but produces false signals during volatility spikes and misses early reversals during compression. SmartTrend Pro replaces every component of this pipeline with an adaptive alternative, creating a system where each stage feeds the next: Ehlers-filtered price → Kaufman-adaptive ATR → Volatility bands → Trend direction → Confluence scoring → Filtered signal → Risk levels The Ehlers Super Smoother removes high-frequency noise from the price before the trend bands are calculated — this prevents the trend engine from reacting to random wicks. The Kaufman adaptive ATR widens bands when volatility is real (sustained directional movement) and tightens them during choppy, low-efficiency conditions — making the trend change threshold automatically adjust. The confluence scoring system then evaluates each trend flip against five independent market factors before allowing the signal to fire. And the TP/SL system freezes its risk distance at entry (using the ATR at signal time) so targets don't drift as volatility changes post-entry. No single component here is sufficient on its own. An Ehlers filter without adaptive bands still produces false crossovers. Adaptive bands without scoring still trigger on weak trend flips. Scoring without frozen TP/SL creates drifting targets. The integrated pipeline solves all three problems simultaneously. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Adaptive Volatility Trend Engine (AVTE) — custom trend algorithm. The AVTE replaces the standard Supertrend calculation at every stage: Stage 1 — Price filtering: Instead of using raw price, the AVTE applies an Ehlers 2-pole Super Smoother to the source. The Ehlers filter uses the transfer function: ss = c1 × (src + src ) × 0.5 + c2 × ss + c3 × ss where c1 = 1 − c2 − c3, c2 = 2a × cos(√2 × π / period), c3 = −a², and a = exp(−√2 × π / period). This produces zero-lag frequency-domain filtering — it removes high-frequency noise without the phase distortion that a simple moving average introduces. The filter period is derived from the ATR period (ATR_period / 2, minimum 3). Stage 2 — Adaptive volatility measurement: Instead of a fixed-length ATR, the AVTE uses a Kaufman Adaptive ATR. First, a standard ATR(period) is calculated. Then the Kaufman Efficiency Ratio (ER) is computed: ER = |close − close | / sum(|close − close |, period). The ER measures how much net directional movement exists relative to total path traveled — ranging from 0 (pure chop) to 1 (clean trend). The ER then modulates a smoothing constant: sc = (ER × (fast − slow) + slow)², where fast = 2/3 and slow = 2/31. The adaptive ATR blends: aATR = aATR + sc × (rawATR − aATR ). In trending conditions (high ER), the adaptive ATR reacts quickly to volatility changes. In choppy conditions (low ER), it smooths aggressively, preventing false band expansions. Stage 3 — Band calculation and trend direction: Upper band = filtered_price + sensitivity × adaptive_ATR. Lower band = filtered_price − sensitivity × adaptive_ATR. Bands ratchet in the trend direction: the lower band can only rise (never fall) during uptrends, the upper band can only fall during downtrends. When close crosses above the upper band, trend flips bullish. When close crosses below the lower band, trend flips bearish. The trend line follows the lower band in uptrends, upper band in downtrends (step-line visualization). The Sensitivity parameter (default 2.5) controls how far the bands sit from filtered price. Lower = tighter bands, more signals, faster reaction. Higher = wider bands, fewer signals, smoother. 2️⃣ Multi-confluence scoring system (0–100). Every AVTE trend flip is evaluated against five independent market factors before becoming a signal: Factor 1 — EMA alignment (±15 pts): Checks whether close > EMA(50) > EMA(200) for bullish alignment, or close < EMA(50) < EMA(200) for bearish. Full alignment = +15 (bull) or −15 (bear). No alignment = 0. This confirms the trend flip aligns with the broader trend structure. Factor 2 — RSI position (±10 pts): RSI(14) between 50–70 = +10 (bullish momentum without overextension). RSI 30–50 = −10 (bearish). Extremes (>70 or <30) score 0 — avoiding signals at overbought/oversold levels where reversals are more likely. Factor 3 — MACD histogram direction (±12 pts): MACD(12,26,9) histogram > 0 and rising = +12 (accelerating bullish momentum). Histogram < 0 and falling = −12 (accelerating bearish). This captures momentum acceleration, not just direction. Factor 4 — Volume confirmation (0–8 pts): Volume > 20-period SMA × 1.2 = +8. This confirms institutional participation. Auto-disabled on instruments without volume data (forex). Factor 5 — ADX strength (0–10 pts): ADX(14) > 25 = +10, ADX > 20 = +5. Confirms the market is trending, not ranging. The base score starts at 50. Bullish factors add, bearish factors subtract. Final score is clamped to 0–100. A buy signal fires when the AVTE flips bullish AND score ≥ Min Signal Score (default 55). A sell signal fires when AVTE flips bearish AND score ≤ (100 − Min Signal Score), creating symmetric thresholds around 50. Signals with score ≥ 75 (buy) or ≤ 25 (sell) are classified as "Strong" and receive a distinct label. 3️⃣ Ehlers Super Smoother trend cloud. A dual-band cloud system using two Ehlers Super Smoothers at different periods. The fast period depends on the Cloud Style setting: — Adaptive: auto-adjusts between 13 and 55 based on current volatility — calculated as 34 × (1 + stdev(close, 20) / adaptive_ATR × 0.5) — Fast: fixed at 21 (tight cloud for scalping) — Smooth: fixed at 55 (wide cloud for swing) — Minimal: fixed at 34 (single line, no fill) The slow period = fast period × 2.618 (golden ratio). Cloud is bullish when fast > slow (green fill), bearish when fast < slow (red fill). The AVTE step-line is overlaid on the cloud for immediate trend-direction clarity. An optional trend tracer (EMA, default 233-period) provides institutional-level long-term bias. 4️⃣ Four-preset system with parameter scaling. Presets modify three core parameters simultaneously using multipliers: — Conservative : sensitivity × 1.4, ATR period × 1.3, min score floor 70 — fewer but higher-quality signals, for swing trading — Balanced : no modification — default parameters, good for 15M–4H — Aggressive : sensitivity × 0.7, ATR period × 0.8, min score ceiling 45 — more signals, faster entries — Scalping : sensitivity × 0.5, ATR period × 0.6, min score ceiling 40 — optimized for 1–5M, tightest bands Each preset adjusts the effective sensitivity, ATR length, and minimum score threshold proportionally, so one selection adapts the entire signal pipeline rather than requiring manual tuning of individual parameters. 5️⃣ Dynamic TP/SL with frozen risk distance. Three stop-loss modes: — ATR : SL distance = adaptive ATR × configurable multiplier (default 1.5×) — Percentage : SL distance = fixed percentage of entry price — Structure : SL distance = half the recent swing range (highest high − lowest low over swing lookback) TP levels are calculated as multiples of SL distance: TP1 = SL × 1.5 (default), TP2 = SL × 2.5, TP3 = SL × 4.0. The SL distance is frozen at entry — once a signal fires, the risk distance is locked and does not change with subsequent volatility. This prevents TP/SL levels from drifting as ATR changes post-entry. TP hit markers (×) appear on the chart as each level is reached. An optional Chandelier Exit trailing stop follows price using the ATR multiplier, ratcheting in the profit direction. 6️⃣ Pullback signals within established trends. In addition to trend-flip signals, the indicator detects pullback entries within an existing trend: — Bullish pullback: AVTE trend is bullish (no flip), price retraces to EMA(pullback_sensitivity × 3), RSI(pullback_sensitivity) drops below 35 then starts rising — catching the bounce off trend support — Bearish pullback: AVTE trend is bearish, price rallies to EMA, RSI exceeds 65 then starts falling Pullback signals appear as small circles (distinct from the main Buy/Sell labels), providing additional entries within a confirmed trend direction. They are bar-close confirmed and warmup-protected. 7️⃣ Volatility gauge with statistical normalization. The dashboard displays a real-time volatility reading (0–100%) calculated as: gauge = (ATR(10) − (SMA(ATR, 20) − StDev(ATR, 20))) / (2 × StDev(ATR, 20)) × 100, clamped to 0–100. This measures where current volatility sits relative to its recent statistical distribution: > 70% = High (above 1 standard deviation), 40–70% = Medium, < 40% = Low. This helps you assess whether the current environment suits your strategy: high volatility favors wider stops and fewer signals, low volatility favors tighter approaches. 8️⃣ Multi-timeframe trend panel (non-repainting). The dashboard includes an MTF panel showing trend direction on 5M, 15M, 1H, 4H, and 1D — using close > EMA(200) with lookahead_on for guaranteed non-repainting. When most timeframes align in one direction, trend-flip signals in that direction have higher confluence. 9️⃣ Session detection. The dashboard shows the current active trading session: Tokyo, London, New York, Sydney, or overlaps (London/New York, Tokyo/London). Sessions are calculated using UTC-based time windows. This helps you contextualize volatility: London/New York overlap is typically the highest-volume period, while off-hours have thinner liquidity. 🔟 Four optional filters. Each filter can be independently toggled: — Trend filter : only signals aligned with the Ehlers cloud direction — Volume filter : only signals with volume EMA(10) > EMA(25) — auto-disabled for instruments without volume — ADX filter : only signals when ADX > 20 (trending market) — Momentum filter : only signals with MACD histogram aligned (positive + rising for buys, negative + falling for sells) All filters default to Off — enabling them progressively reduces signal frequency while increasing average quality. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Ehlers filtering: Source price is passed through the 2-pole Super Smoother with period = max(round(ATR_period / 2), 3). This removes intrabar noise while preserving trend structure. Step 2 — Adaptive ATR: Kaufman Efficiency Ratio is calculated over the ATR period. The ER modulates the smoothing speed of ATR: trending conditions → fast adaptation, choppy conditions → slow adaptation. Step 3 — Band construction: Upper = filtered_price + sensitivity × adaptive_ATR. Lower = filtered_price − sensitivity × adaptive_ATR. Bands ratchet: lower band can only rise in uptrends, upper band can only fall in downtrends. Step 4 — Trend detection: Close above upper band → bullish. Close below lower band → bearish. The trend line is the active band (lower in uptrends, upper in downtrends). Step 5 — Confluence scoring: On every bar, five factors are evaluated and combined into a 0–100 score. On a trend flip bar, the score determines whether the signal qualifies. Step 6 — Filter gate: If any enabled filter disagrees, the signal is suppressed. Step 7 — Signal emission: Buy or Sell label appears on the confirmed bar. Score ≥ 75 / ≤ 25 → "Strong Buy/Sell". Step 8 — TP/SL placement: Risk distance is calculated and frozen. TP1/TP2/TP3 are placed as R:R multiples. Labels persist on the right side of the chart. Hit markers appear as each level is reached. 📖 HOW TO USE 🎯 Quick start: 1. Select a preset matching your style: Scalping (1–5M), Balanced (15M–4H), Conservative (4H–1D) 2. Add the indicator to your chart — the AVTE trend line and cloud appear immediately 3. Wait for a Buy or Sell label — the score next to it tells you the confluence quality 4. Check the dashboard: trend direction, score, market state (trending/ranging), volatility, session 5. TP/SL levels appear automatically — manage the trade using the marked levels 👁️ Reading the chart: — 🟩 Green cloud fill = bullish trend (Ehlers fast > slow) — 🟥 Red cloud fill = bearish trend — Step-line on the cloud = AVTE trend boundary (the level that must break for a trend flip) — 🟢 "Buy" / "Strong Buy" label below bar = confirmed bullish signal — 🔴 "Sell" / "Strong Sell" label above bar = confirmed bearish signal — 🟢 Small circle below bar = pullback buy (trend continuation entry) — 🔴 Small circle above bar = pullback sell — Orange line = entry price | Red line = stop loss | Green lines = TP1/TP2/TP3 — × markers = TP hit confirmations — HH/HL/LH/LL labels (optional) = market structure swing points 📊 Dashboard fields: — Trend: current AVTE direction (Bullish/Bearish) — Signal: last confirmed signal (Buy/Sell/Wait) — Score: current confluence score (0–100) — Market: ADX-based state (Trending > 25 / Ranging > 20 / No Trend) — Volatility: statistical gauge (High/Medium/Low with percentage) — Session: current active session (Tokyo/London/New York/Sydney/overlaps) — MTF Panel: 5M/15M/1H/4H/1D trend direction (close vs 200 EMA) 🔧 Tuning guide: — Too many signals: increase Min Score, enable filters, switch to Conservative preset — Too few signals: decrease Min Score, switch to Aggressive/Scalping, lower Sensitivity — Signals too late: lower Sensitivity (tighter bands), use Fast cloud style — Too many false signals: enable ADX filter (filters ranging markets), increase Min Score to 65+ — Scalping 1–5M: use Scalping preset, ATR mode SL with multiplier 1.0–1.5, TP1 R:R 1.0–1.5 — Swing 4H–1D: use Conservative preset, ATR mode SL with multiplier 2.0–3.0, TP3 R:R 5.0+ ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Trend Sensitivity (default 2.5): AVTE band distance — lower = more signals, higher = fewer — ATR Period (default 21): volatility measurement lookback — Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping 📡 Signal Tuning: — Min Signal Score (default 55): minimum confluence to trigger signals — Strong Signals Only (default Off): only show score ≥ 75 — Show Pullback Signals (default On): trend continuation entries — Pullback Sensitivity (default 8): retracement detection lookback ☁️ Trend Cloud: — Cloud Style (default Adaptive): Adaptive / Fast / Smooth / Minimal — Trend Tracer (default Off): long-term EMA bias line (default 233) 🔍 Filters (all default Off): — Trend Filter (cloud alignment) / Volume Filter / ADX Filter / Momentum Filter 🛡️ Risk Management: — SL Mode (default ATR): ATR / Percentage / Structure — SL ATR Multiplier (default 1.5×) / SL Percentage (default 1.0%) — TP1/TP2/TP3 Risk:Reward (default 1.5 / 2.5 / 4.0) — Trailing Stop (default Off): Chandelier Exit method — Market Structure (default Off): HH/HL/LH/LL swing labels 🎨 Visual: — Auto / Dark / Light theme — Bar coloring: Trend Gradient / Signal Based / Momentum / None — Background trend shading (default Off) 📊 Dashboard: — Position, font size, MTF panel toggle 🔔 Alerts — 🟢 Buy / Strong Buy — ticker, price, timeframe, score — 🔴 Sell / Strong Sell — same fields — 🎯 TP1 / TP2 / TP3 Hit — ticker, price — 🛑 SL Hit — ticker, price — ☁️ Cloud Cross Bullish / Bearish — ticker, timeframe All alerts support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. TP/SL distances are frozen at entry and do not change retroactively. MTF data uses + lookahead_on for non-repainting HTF values. A warmup period (minimum 200 bars or 3× ATR period) prevents signals during insufficient data. — 📐 The AVTE is not a standard Supertrend . It replaces every component: Ehlers Super Smoother instead of raw price, Kaufman adaptive ATR instead of fixed ATR, ratcheting bands instead of simple ±ATR. The mathematics are described in detail above. — ⚖️ The confluence score is not a win-rate predictor . A score of 75 means five independent market factors align strongly — it measures confluence quality, not outcome probability. Use it to prioritize, not to guarantee. — 📊 The scoring system uses standard indicators (EMA, RSI, MACD, Volume, ADX) as confluence factors , not as independent signal generators. None of these indicators alone triggers a signal — they only contribute to the score that gates an AVTE trend flip. — 🔧 Presets modify parameters proportionally. After selecting a preset, you can still adjust individual settings — the preset sets the starting point, your adjustments override it. — 📏 TP/SL levels are frozen at entry . The SL distance calculated at the signal bar persists until the next signal — it does not drift with changing ATR. This is by design for consistent risk management. — 🔄 Pullback signals are continuation entries , not reversal signals. They only appear within an established AVTE trend and require RSI reversion from oversold/overbought — catching bounces off trend support/resistance. — 🛠️ This is a signal and analysis tool , not an automated trading bot. It generates signals, scores them, and visualizes TP/SL — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume filter auto-disables on instruments without volume data.
Indicador Pine Script®
por WillyAlgoTrader
2
Squeeze Breakout Pro [WillyAlgoTrader]Squeeze Breakout Pro (SBP) is an overlay indicator that detects volatility compression zones where Bollinger Bands contract inside a Keltner Channel, waits for a confirmed directional breakout with volume and momentum validation, and then maps a complete trade framework: structural stop loss at the opposite side of the range, and three take-profit targets calculated as R-multiples of the range width using Fibonacci-based extensions. A built-in dashboard tracks TP hit rates across the chart's history so you can evaluate the setup's statistical behavior on any instrument and timeframe. The concept of a "squeeze" — Bollinger Bands narrowing inside Keltner Channels — has been around for decades. What SBP adds is a structured decision pipeline: it doesn't just flag the squeeze, it qualifies it with ADX to confirm a genuine range-bound condition, requires volume confirmation on the breakout bar, defines exact entry/SL/TP levels, and tracks how often each target is reached — turning a raw volatility observation into a repeatable trade setup with measurable outcomes. 🔍 WHAT MAKES IT ORIGINAL 1. Squeeze qualification via ADX filter. A standard BB-inside-KC squeeze fires frequently and includes many false compressions during trending pullbacks. SBP adds an ADX filter that requires the Average Directional Index to be below a user-defined threshold (default 21) during the squeeze phase. This ensures the consolidation is a genuine range-bound condition — not a brief pause in a strong trend that would produce a low-quality breakout. The combination of BB/KC compression + low ADX produces significantly fewer but higher-quality squeeze zones. 2. Minimum squeeze duration requirement. Not every momentary BB/KC overlap deserves attention. SBP requires a configurable minimum number of consecutive squeeze bars (default 5) before the range is considered valid. Short, fleeting compressions are ignored. This filters out the noise that plagues most squeeze indicators on lower timeframes. 3. Structural stop loss with ATR padding. Instead of a fixed-pip or fixed-percentage stop, SBP places the stop loss at the opposite boundary of the detected consolidation range — the natural structural level — plus a configurable ATR-based padding (default 20% of ATR). For a bullish breakout, SL sits below the range low; for bearish, above the range high. This gives the stop a structural reason to exist, tied to the actual price action that formed the squeeze. 4. R-multiple targets using Fibonacci extensions. Take-profit levels are calculated as multiples of the range width projected from the entry price: — TP1 at 0.618× range width (conservative, first scale-out) — TP2 at 1.0× range width (full range projection) — TP3 at 1.618× range width (golden ratio extension) All three multipliers are fully configurable. The range width serves as the natural "R" unit because it represents the energy stored during compression — wider ranges store more energy and project further. 5. Built-in TP/SL hit-rate tracking. The dashboard counts every breakout signal on the visible chart and tracks how many times each TP level was reached versus how many times the SL was hit. This gives you an instant statistical profile of the setup's behavior on the current instrument and timeframe — no external backtesting tool required. The hit rates update in real time as new signals form. 6. Overlap prevention. An optional toggle (on by default) prevents a new squeeze zone from forming if it would overlap with the previous one, avoiding redundant signals in choppy markets where squeezes cluster. ⚙️ HOW IT WORKS Step 1 — Squeeze detection: On each bar, the script calculates Bollinger Bands (SMA ± StdDev × multiplier) and a Keltner Channel (SMA ± ATR × multiplier) using the same base length. When both BB boundaries sit inside both KC boundaries (upper BB < upper KC AND lower BB > lower KC), the market is in a squeeze. If the ADX filter is enabled, the squeeze is only valid when ADX is also below the threshold — confirming low directional momentum. Step 2 — Range construction: While the squeeze is active, the script tracks the highest high and lowest low across all squeeze bars, building a dynamic range box. When the squeeze condition ends (BB expands beyond KC or ADX rises), the range is locked — but only if the squeeze lasted at least the minimum required bars. The locked range defines the consolidation zone for breakout detection. Step 3 — Breakout confirmation: After the range is locked, the script watches for a confirmed bar close above the range high (bullish breakout) or below the range low (bearish breakout). If volume confirmation is enabled, the breakout bar must also have volume exceeding the SMA(volume) × the configured multiplier. All breakout signals require barstate.isconfirmed — they trigger only on bar close and do not repaint. Step 4 — Trade framework: On breakout, the script calculates and plots: — Entry: the breakout bar's close price — SL: opposite range boundary ± ATR padding — TP1 / TP2 / TP3: entry ± (range width × configured multipliers) These levels extend forward as horizontal lines with a risk/reward fill zone until a target or stop is hit. When TP3 or SL is reached (bar close), the trade is closed and levels stop extending. Step 5 — Hit tracking: Each TP level and the SL are monitored on every confirmed bar after entry. When price touches (via high/low) a TP level, it is marked as hit. If SL is hit before TP3, the trade closes at a loss. The dashboard aggregates these outcomes across all signals on the chart. Volume on forex: On instruments without volume data (common on forex), the volume filter is automatically bypassed — so the indicator works seamlessly across asset classes without manual adjustment. 📖 HOW TO USE Reading the chart: — Yellow-tinted boxes = detected squeeze zones (consolidation ranges) — "Long" label below bar = confirmed bullish breakout — "Short" label above bar = confirmed bearish breakout — Green line = entry level — Red dashed line = stop loss — Dotted/solid green lines = TP1 / TP2 / TP3 — Green-tinted fill between entry and TP3 = reward zone — Red-tinted fill between entry and SL = risk zone Suggested workflow: — Wait for a squeeze zone to form and lock (box appears, disappears when squeeze ends) — Dashboard shows "Pending" when a valid range is ready for breakout — On breakout, evaluate the signal: check TP/SL levels, assess the range width, and decide position size based on the distance to SL — Use TP1 for conservative partial exit, TP2 for second scale-out, TP3 for runner — Review the TP1/TP3 hit rates in the dashboard to calibrate your expectations for the current instrument Timeframe guidance: — Scalping (1–5min): Squeeze Length 10–15, Min Squeeze Bars 3–5, ADX threshold 25 — Intraday (15min–1H): Squeeze Length 15–20, Min Squeeze Bars 5–8, default settings — Swing (4H–Daily): Squeeze Length 20–30, Min Squeeze Bars 8–15, ADX threshold 18–20 — The longer the squeeze and higher the timeframe, the more energy stored → larger projected targets ⚙️ KEY SETTINGS REFERENCE — Squeeze Length (default 13): shared period for BB and KC — higher = detects longer consolidations — BB Multiplier (default 2.0): Bollinger Bands standard deviation multiplier — KC Multiplier (default 1.2): Keltner Channel ATR multiplier — the gap between BB and KC multipliers controls how easily a squeeze triggers — ADX Filter (default On): require low directional movement during squeeze — ADX Threshold (default 21): maximum ADX value for valid squeeze — lower = stricter — Volume Confirmation (default On): require volume spike on breakout bar (auto-disabled on forex) — Volume Spike Mult (default 1.3): breakout volume must exceed SMA × this multiplier — Min Squeeze Bars (default 5): minimum consecutive squeeze bars for valid range — Prevent Overlap (default On): no new squeeze zone if it overlaps the previous one — TP1 / TP2 / TP3 (default 0.618 / 1.0 / 1.618): take-profit as R-multiples of range width — SL Padding (default 0.2): extra padding beyond range boundary, as fraction of ATR 📊 Dashboard The info panel (adjustable to any chart corner) displays: — Current squeeze status (Active with bar count, or None) — Trade direction (Long / Short / —) — Signal state (Active / Pending / Wait) — ADX value with color coding (green if below threshold, red if above) — Total breakout count (Long / Short split) — TP1 and TP3 hit rates as percentages across all signals on chart — Current timeframe and indicator version ⚠️ IMPORTANT NOTES — This indicator does not repaint. All breakout signals require bar-close confirmation (barstate.isconfirmed). — The TP hit rates shown in the dashboard are historical statistics on the current chart , not predictions. They depend entirely on the instrument, timeframe, and date range visible. A 70% TP1 hit rate on past data does not guarantee 70% going forward. — SBP provides a structured trade framework (entry/SL/TP), but it is not a complete trading system . Position sizing, risk management, and trade selection remain the trader's responsibility. — Not every squeeze produces a clean breakout. Some ranges resolve with choppy, directionless price action. The ADX filter and volume confirmation reduce this, but cannot eliminate it entirely. — The indicator works across all asset classes — stocks, crypto, forex, futures, commodities. Volume features auto-adapt to instruments without volume data.
Indicador Pine Script®
por WillyAlgoTrader
4
Supreme BUY/SELL Signal Indicator By Chaitu50cSupreme Buy/Sell Signals Indicator By Chaitu50c Overview The Supreme Buy/Sell Signals Indicator is a structured price-action based breakout system designed to detect strong consecutive momentum moves within the same trading session. The indicator focuses on clean candle structure and breakout confirmation rather than oscillators or lagging calculations. It is built to identify continuation strength after two consecutive candles in the same direction, followed by a confirmed breakout beyond the previous candle’s extreme. The logic is simple, rule-based, and non-repainting because signals are confirmed only after candle close. This tool is ideal for intraday traders who prefer structure-based entries and want clear, controlled signal behavior without noise. Core Signal Logic The indicator detects bullish signals when two consecutive bullish candles form and the current candle closes above the previous candle’s high. This confirms bullish continuation strength and prints a Buy signal. Similarly, a bearish signal is generated when two consecutive bearish candles form and the current candle closes below the previous candle’s low, confirming downside continuation strength. Signals are only generated after the candle closes, ensuring no repainting during live bars. Additionally, signals are restricted within the same trading day. At the start of a new session, the internal state resets to prevent carryover signals from the previous day. Single Signal Mode The “Single Signal Until Opposite Forms” option controls whether the indicator allows consecutive signals in the same direction. When enabled, once a Buy signal is generated, no additional Buy signals will appear until a valid Sell signal forms. This prevents repetitive entries in strong trends and keeps the chart clean. When disabled, the indicator will generate every valid breakout signal, even if multiple signals occur in the same direction. This setting is particularly useful for traders who prefer one clean setup per move rather than multiple re-entries. Body Breakout Unlock Mode The “Require Body Breakout to Unlock” option introduces a structured reset mechanism. After a signal is generated, the direction becomes temporarily locked. A new signal of the same direction cannot form unless price proves invalidation by closing its body beyond the extreme of the previous signal candle. For example, after a Buy signal, if a bearish candle closes below the low of the signal candle, the system unlocks. Only then can another Buy signal form later. This ensures that repeated signals only occur after meaningful structural invalidation. If disabled, signals can occur again without requiring this structural reset. This mode is designed to improve discipline and reduce signal clustering. Stop Loss Line Logic When enabled, the indicator automatically draws a dynamic Stop Loss line at the extreme of the signal candle. For Buy signals, the stop loss is placed at the signal candle’s low. For Sell signals, it is placed at the signal candle’s high. The Stop Loss line extends forward bar by bar until a candle closes beyond it. Once price closes past the stop level, the line stops extending, indicating that the stop has been hit. Users can customize the stop loss line’s color, style (solid, dashed, dotted), and width. This feature helps traders visually track trade risk and understand when a setup becomes invalid. Display Options The “Show Buy/Sell Signals” toggle controls whether Buy and Sell labels appear on the chart. These labels can be customized in color for both bullish and bearish signals, as well as text color for better chart visibility. The “Show Bar Colors” option highlights the signal candle itself using user-defined bullish or bearish paint colors. This visually emphasizes the exact breakout candle responsible for the signal. Both display options are fully optional and allow traders to keep the chart either minimal or visually descriptive. Session Behavior The indicator resets automatically at the beginning of each new trading day. This ensures that signals, locks, and stop loss tracking do not carry over into the next session. The logic is designed specifically for intraday use where daily session separation is important. Alerts Built-in alert conditions are included for both Buy and Sell signals. Traders can create TradingView alerts directly from the indicator to receive notifications whenever a valid consecutive breakout occurs. Practical Use Cases This indicator is particularly effective in trending intraday environments where momentum continuation setups perform well. It can be used for breakout trading, pullback continuation entries, and structured momentum strategies. Traders may combine it with higher timeframe bias, support and resistance levels, or volume confirmation to filter trades further. It works especially well when aligned with broader market structure. Testing & Optimization This indicator has been personally tested on the NIFTY chart using the 5-minute timeframe. The logic performed effectively in capturing structured intraday continuation moves within active market sessions. However, traders are encouraged to test and optimize it according to their own strategy and risk management rules before live deployment.
Indicador Pine Script®
por chaitu50c
4
Cascade Trend Navigator [JOAT]Cascade Trend Navigator Introduction The Cascade Trend Navigator is an open-source institutional-grade multi-timeframe trend and flow system that combines dynamic support/resistance zones, volume profile analysis, and liquidity detection into a unified overlay indicator. This comprehensive system integrates multiple proven methodologies to identify high-probability trend continuation and reversal zones where institutional and retail liquidity converge. The indicator is designed for traders who understand that successful trend following requires more than simple moving average crossovers. By synthesizing adaptive moving averages, dynamic support/resistance zones, volume profile analysis, and liquidity pool detection, this tool helps identify structural market inflection points with institutional-grade precision. Why This Integration Exists This indicator combines four distinct analytical frameworks that complement each other: Adaptive Moving Average System: Uses Hull, TEMA, DEMA, ZEMA, and VWMA calculations for superior trend identification with reduced lag Dynamic Support/Resistance Zones: Calculates real-time zones using Hull Moving Averages and ATR-based deviation bands Volume Profile Analysis: Identifies Point of Control (POC) and high-volume price levels where institutional activity concentrates Liquidity Pool Detection: Tracks equal highs/lows, swing points, and liquidity zones where stop hunts typically occur Each component addresses different aspects of market structure. The adaptive MA system provides trend direction with minimal lag, dynamic zones reveal real-time support/resistance levels, volume profile shows where institutions are most active, and liquidity detection identifies areas where price reversals are likely. Together, they create a multi-dimensional view of market flow and structure. Core Components Explained 1. Advanced Moving Average Engine The indicator offers seven different moving average types, each optimized for specific market conditions: Hull MA (HMA): wma(2 * wma(src, length/2) - wma(src, length), sqrt(length)) TEMA: 3 * ema1 - 3 * ema2 + ema3 (Triple smoothed) DEMA: 2 * ema1 - ema2 (Double smoothed) ZEMA: Zero-lag EMA with lag compensation VWMA: Volume-weighted for institutional flow tracking The system uses three MA periods: Fast (default 20), Slow (default 50), and Trend (default 200). Trend direction is determined when Fast MA > Slow MA and price > Trend MA for bullish conditions, with the inverse for bearish conditions. 2. Dynamic Support/Resistance Zone System Unlike static pivot levels, these zones adapt to current market volatility: Resistance Zone: HMA(high, length) + (ATR * deviation) to HMA(high, length) Support Zone: HMA(low, length) to HMA(low, length) - (ATR * deviation) The zones automatically adjust width based on ATR, making them more relevant during high volatility periods and tighter during consolidation. This adaptive nature provides more accurate entry and exit levels compared to fixed percentage-based zones. 3. Volume Profile Integration The indicator calculates a real-time volume profile over a specified lookback period: - Divides the price range into configurable bins (default 20) - Accumulates volume for each price level - Identifies Point of Control (POC) - the price level with highest volume - Displays POC as a dynamic level where institutional activity is concentrated This helps traders understand where the majority of trading activity occurred and where price is likely to find support or resistance based on volume acceptance. 4. Liquidity Pool Detection System The system identifies multiple types of liquidity pools: Equal Highs/Lows: Price levels where multiple highs or lows form at similar levels, creating liquidity pools for institutional players to target Swing Points: Pivot highs and lows that represent areas where retail stops are likely clustered Liquidity Sweeps: Instances where price briefly moves beyond recent highs/lows but fails to sustain, indicating stop hunting activity These areas often precede significant price moves as institutions clear retail positions before establishing their own. 5. Trend Strength Calculation The indicator calculates trend strength as: Trend Strength = abs((Fast MA - Slow MA) / Slow MA) * 100 This provides a quantitative measure of trend momentum, helping traders distinguish between strong trending moves and weak corrective phases. Visual Elements Moving Average Cloud: Fill between Fast and Slow MAs with gradient coloring based on trend direction Dynamic Zones: Support zones in green, resistance zones in red with glowing borders POC Line: Golden cross marking the highest volume price level Liquidity Markers: Triangles for equal highs/lows, diamonds for swing points Signal Arrows: BUY/SELL labels for trend changes and zone touches Trend Background: Subtle background coloring indicating overall market bias Dashboard: Real-time display of trend status, strength, and distances to key levels How Components Work Together The integration creates a layered analysis approach: Layer 1 - Trend Identification: Adaptive MAs determine primary trend direction with minimal lag Layer 2 - Dynamic Levels: Support/resistance zones provide entry and exit levels that adapt to volatility Layer 3 - Volume Confirmation: POC shows where institutions are most active Layer 4 - Liquidity Mapping: Equal highs/lows and swing points reveal where reversals are likely Layer 5 - Signal Synthesis: All components combine to generate high-probability trade signals Example scenario: Price approaches a dynamic support zone (Layer 2) in an uptrend (Layer 1), near the POC level (Layer 3), with equal lows nearby (Layer 4). This confluence suggests a high-probability bounce location. Input Parameters Trend Settings: Fast MA Length: Period for fast moving average (default: 20) Slow MA Length: Period for slow moving average (default: 50) Trend MA Length: Period for trend filter (default: 200) MA Type: Choose from SMA, EMA, HMA, TEMA, DEMA, ZEMA, VWMA Show MA Cloud: Toggle cloud fill between fast and slow MAs Zone Settings: Zone Calculation Length: Period for HMA zone calculation (default: 50) Zone Deviation: ATR multiplier for zone width (default: 1.5) Show Support/Resistance Zones: Toggle zone display Volume Profile Settings: Volume Profile Length: Lookback period for volume calculation (default: 100) Number of Price Bins: Granularity of volume profile (default: 20) Show Volume Profile: Toggle POC display Liquidity Settings: Show Liquidity Zones: Toggle liquidity markers Liquidity Lookback: Period for swing point detection (default: 50) How to Use This Indicator Step 1: Identify Trend Direction Check the MA cloud color and trend background. Green indicates bullish trend, red indicates bearish trend. Step 2: Locate Dynamic Zones Identify current support and resistance zones. These adapt to volatility and provide better levels than static pivots. Step 3: Check Volume Profile Note the POC level - this shows where most institutional activity occurred and often acts as magnetic price level. Step 4: Map Liquidity Pools Look for equal highs/lows and swing points. These areas often see stop hunting before major moves. Step 5: Wait for Confluence Best setups occur when multiple elements align: trend direction + zone touch + POC proximity + liquidity pool. Step 6: Monitor Dashboard Use the dashboard to track trend strength, distances to key levels, and current signal status. Best Practices Use on 15-minute to daily timeframes for optimal signal quality Combine with proper risk management - zones provide levels, not exact entries Pay attention to trend strength - stronger trends have higher continuation probability Watch for zone touches in trending markets as continuation signals Liquidity sweeps often provide excellent risk:reward entries when they fail POC acts as magnetic level - price often returns to test these areas Volume confirmation is critical - avoid signals during low volume periods Indicator Limitations Does not provide exact entry/exit signals - requires trader interpretation Can generate false signals in choppy, sideways markets Dynamic zones may adjust too quickly in highly volatile conditions Volume profile requires sufficient lookback data to be meaningful Liquidity pools don't always get tested - not every level provides opportunity Trend strength can remain elevated longer than expected during strong moves Performance varies across different markets and timeframes Requires understanding of institutional order flow concepts for effective use Technical Implementation Built with Pine Script v6 using: Advanced moving average calculations with zero-lag techniques Real-time volume profile computation with dynamic binning Adaptive support/resistance zone calculation using HMA and ATR Pivot-based liquidity pool detection with swing analysis Dynamic color gradients based on trend strength and direction Comprehensive dashboard with real-time statistics Anti-overlap signal filtering to prevent signal clustering The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its integration approach. While individual components (moving averages, support/resistance, volume profile, liquidity detection) are established concepts, this integration is justified because: It synthesizes four distinct methodologies that address different market aspects The adaptive zone calculation provides dynamic levels that adjust to current volatility Volume profile integration shows institutional activity concentration in real-time Liquidity pool detection reveals areas where institutional stop hunting typically occurs The combination helps identify confluence zones where multiple factors align Anti-overlap filtering and trend strength calculation provide quantitative edge Each component contributes unique information: adaptive MAs provide trend direction with minimal lag, dynamic zones offer volatility-adjusted levels, volume profile reveals institutional activity, and liquidity detection identifies reversal zones. The integration's value lies in presenting these complementary perspectives simultaneously with unified signal generation. 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. Technical indicators are tools for analysis, not guarantees of future performance. Past performance and backtested results do not guarantee future results. Market conditions change, and strategies that worked historically may not work in the future. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Optimized Buy/Sell Pro + Live Trade DashboardOptimized Buy/Sell Pro + Live Trade Dashboard Active Trade Table: Displays Entry, SL, TP, and Exit Price (if closed). Live R:R Calculation: Shows the math behind the trade while it's running. Automatic Cleanup: The trade table updates to "IDLE" when no trade is active to keep your chart clean. Understanding the Dashboard: Net Profit (R): This is your most important metric. If it says 5.2R, it means even if you only risked $100 per trade, you are up $520. Win Rate: Don't be alarmed if this is below 50%. Because your Risk:Reward is 3.0, you only need a 26% win rate to be profitable! Current State: Quickly tells you if the script is currently managing a trade or waiting for a fresh EMA cross.
Indicador Pine Script®
por demantprasad
Flow EngineFlow Engine Most indicators tell you which direction price is moving. Flow Engine tells you whether to trust it . It does this by combining momentum, volume, trend, and a higher timeframe check all into one pane, plus it draws divergence signals directly on your price chart so you never have to look away. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT'S ON THE SCREEN ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Histogram (the bars) This is the main thing. The height of each bar shows how strong the momentum is. The color tells you the direction — cyan for up, red for down. The part that makes this different is the opacity . If a bar is bright and vivid, it means big volume is behind that move. If a bar looks faded or ghosted, the move happened on low volume and probably won't last. You can see this instantly without checking a separate volume pane. Tall vivid cyan bar = strong upward move with real volume behind it Tall faded cyan bar = price went up but nobody really showed up Same logic applies on the red side The OB/OS Line This line tells you when things are getting stretched too far in one direction. When it goes above +70 — the move is getting overdone on the upside. When it drops below -70 — the selloff is getting overdone. In between — cyan means leaning bullish, red means leaning bearish The Trend Line A slow moving line that tells you what the overall structure looks like on your current timeframe. Lime green above zero — uptrend Soft red below zero — downtrend Think of it as the background context. When this line is green, you want to be looking for longs. When it's red, be careful going long or look for shorts instead. The Background Tint (HTF Bias) A very subtle color behind everything that comes from a higher timeframe — by default the Daily chart. Cyan tint — the daily trend is bullish Red tint — the daily trend is bearish No tint — daily is mixed, no clear direction This is the big picture check. If you are trading a 15 minute chart and the background is red, you know you are going against the daily trend. That doesn't mean you can't trade, but you should be more careful. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DIVERGENCE SIGNALS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Divergence is when price and momentum stop agreeing with each other. It usually means the current move is running out of steam. Bearish divergence — price made a higher high but the histogram made a lower high. The rally is weakening. Orange triangle appears above the candle on your price chart. Bullish divergence — price made a lower low but the histogram made a higher low. The selloff is weakening. Green triangle appears below the candle on your price chart. You also get a dashed line drawn on the Flow Engine pane connecting the two points so you can see exactly where the divergence happened. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Momentum Length (14) — how many bars the momentum calculation looks back. Lower number reacts quicker but gives more false signals. Higher number is slower but cleaner. Volume MA Length (20) — the average used to judge whether current volume is high or low. Leave this at default unless you have a reason to change it. Overbought Level (70) — where the OB/OS line turns orange. Lower this if you want earlier warnings. Oversold Level (-70) — where the OB/OS line turns green. Change this together with the overbought level. Trend Length (50) — how slow the trend line moves. Higher number = smoother line. Pivot Lookback Left & Right (5) — controls how strict the divergence detection is. Raise both to 8 or 10 if you are getting too many signals. Lower to 3 if you want more. HTF Timeframe (D) — the higher timeframe for the background tint. Set this one step above whatever chart you are on. D = Daily, W = Weekly, 240 = 4 Hour. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE IT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Every time you look at the indicator, go through it top to bottom: Check the background tint — what is the daily (or higher TF) saying? Check the trend line — is the current chart agreeing with that? Check the OB/OS line — are we stretched? If yes, don't chase. Check the histogram — is momentum vivid (real) or faded (weak)? The best setup looks like this: Background is cyan + trend line above zero + OB/OS line near oversold + bullish divergence triangle on the chart + histogram bars turning bright cyan When all of that lines up, the move has multiple things confirming it at the same time. That's when you pay attention. A quick tip on the faded bars: Don't get excited about a tall bar if it's faded. Price can move fast on thin volume and snap right back. The vivid bars are the ones that tend to follow through. Which timeframe to set HTF to: Trading 1m or 5m → set HTF to 1H or 4H Trading 15m or 1H → keep HTF on Daily Trading 4H or Daily → set HTF to Weekly ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ GOOD TO KNOW ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Does not repaint — signals are based on confirmed bars only Divergence signals show up a few bars after the actual pivot Looks best on a dark theme
Indicador Pine Script®
por AdarshShrma
Multi-TF FVG-TEX.P# Multi-TF FVG All TFs by TEX.P ## Overview Multi-TF FVG is a powerful Fair Value Gap detector that scans **11 timeframes simultaneously** — from M1 to W1 — all on a single chart. Unlike most FVG indicators that only detect gaps on the chart's current timeframe, this indicator builds higher-timeframe candles internally and scans every timeframe above your chart TF without using a single `request.security()` call. This means **zero repainting**, fast performance, and reliable HTF data. The indicator is designed for traders who use multi-timeframe confluence to find high-probability trade entries — when multiple timeframes have overlapping FVG zones at the same price level, it signals a strong area of institutional interest. --- ## ⚡ FVG Gate Dashboard The real-time **FVG Gate** dashboard (top-right) tells you at a glance: - **BUY**: Shows which bullish FVG zones the current price is sitting inside, with the timeframe names (e.g., `✅ M5+H1+H4(3)`) - **SELL**: Shows which bearish FVG zones the current price is inside (e.g., `✅ M10+D1(2)`) - **MITIGATED**: Lists which timeframes had FVGs that have been fully mitigated (closed through) by subsequent price action (e.g., `⚠ M5+M10(2)`) - **Zones**: Total count of active (unmitigated) FVG zones currently displayed on the chart This gives you an instant read on multi-timeframe confluence — when BUY shows 3+ timeframes, you're sitting in a strong demand zone. When SELL shows 3+ timeframes, you're in a strong supply zone. --- ## 🎨 FVG Colour Legend The colour legend panel sits directly below the Gate dashboard, showing all 11 timeframes with their assigned colours. Active timeframes display in UPPERCASE with their colour; disabled ones show in lowercase gray. This helps you instantly identify which timeframe each FVG zone on the chart belongs to. --- ## How It Works ### Zero request.security() Architecture Instead of calling `request.security()` for each higher timeframe (which introduces repainting and is limited to 40 calls), this indicator uses `timeframe.change()` to detect when a new candle starts on each HTF. It builds and maintains candle arrays (open, high, low, close) for all 10 higher timeframes bar-by-bar as your chart updates. On the last bar, it scans all accumulated candles backward to find FVG patterns. ### FVG Detection Logic A **Fair Value Gap** is identified using the classic 3-candle pattern: - **Bullish FVG**: Candle 1's low > Candle 3's high (gap up — price moved so fast that sellers couldn't fill the space between candles 1 and 3) - **Bearish FVG**: Candle 1's high < Candle 3's low (gap down — price dropped so fast that buyers couldn't fill the space) The gap zone is the area between these two price levels, centred on Candle 2. ### Strict Mitigation An FVG is considered **mitigated** (filled) only when a subsequent candle's **close** fully passes through the zone: - Bullish FVG mitigated when close < bottom of zone - Bearish FVG mitigated when close > top of zone Wicks passing through the zone do NOT count — only body closes. Each timeframe's FVG is checked for mitigation using its own timeframe's candle closes, not lower timeframe data. This ensures accurate, timeframe-consistent mitigation tracking. ### Backward Scanning All scanning happens on `barstate.islast` (the final bar only), which means: - Minimal CPU usage — no per-bar calculations - All FVGs within the lookback range are found in one pass - The chart TF scans using `close ` / `high ` / `low ` references - Higher TFs scan through their internally-built candle arrays --- ## Timeframes Supported | Timeframe | Code | Default Colour | |-----------|------|---------------| | 1 Minute | M1 | Pink | | 3 Minute | M3 | Orange | | 5 Minute | M5 | Green | | 10 Minute | M10 | Blue | | 15 Minute | M15 | Purple | | 30 Minute | M30 | Light Purple | | 1 Hour | H1 | Cyan | | 2 Hour | H2 | Peach | | 4 Hour | H4 | Light Red | | Daily | D1 | Yellow | | Weekly | W1 | Light Blue | The indicator automatically determines which timeframes are "higher" than your chart TF and only scans those. For example, on a 5-minute chart, it will scan M5 (chart TF), M10, M15, M30, H1, H2, H4, D1, and W1 — but skip M1 and M3 since they're lower than the chart TF. --- ## Settings ### Timeframe Toggles Enable or disable any of the 11 timeframes individually. Disabled timeframes won't be scanned or displayed. ### Display - **Show Labels**: Toggle the text labels (e.g., "H1 Bull", "M5 Bear") on each FVG zone - **Show 50% Line**: Toggle the midpoint line inside each FVG box (commonly used as an entry/reaction level) - **Box extends past last bar**: How far right the FVG boxes extend beyond the last candle (default: 5 bars) - **Lookback bars**: How many chart bars to scan backward for FVGs (default: 2000, range: 100–5000) ### Colors and Transparency Each timeframe has its own customisable base colour and transparency level. Higher timeframes default to lower transparency (more visible) since they carry more weight. ### Panels - **Show Color Legend**: Toggle the FVG Colour Legend panel - **Show Gate Panel**: Toggle the FVG Gate dashboard - **Panel Font Size**: Choose from Tiny, Small, Normal, Large, or Huge - **Gate Buffer pips**: How many pips around an FVG zone still count as "inside" for the Gate dashboard (default: 10) - **Pip Size**: Pip size for your instrument (default: 0.1 — adjust for forex, crypto, etc.) --- ## How to Use for Trading ### Multi-Timeframe Confluence The strongest trade setups occur when multiple timeframes have overlapping FVG zones at the same price level. Watch the Gate dashboard: - **3+ timeframes showing BUY** = Strong demand zone, look for long entries - **3+ timeframes showing SELL** = Strong supply zone, look for short entries - **Mixed BUY and SELL** = Contested zone, wait for clarity ### The 50% Line The midpoint (50% line) of each FVG is a key level where price often reacts. Many institutional traders use it as a precise entry point — entering longs at the 50% of a bullish FVG, or shorts at the 50% of a bearish FVG. ### Mitigation Tracking The MITIGATED line in the Gate tells you which timeframe FVGs have been filled. If H4 and D1 FVGs are mitigated but M5 is still active, the remaining M5 zone may be weaker since the higher timeframe structure has been invalidated. --- ## Performance Notes - **Zero `request.security()` calls** — uses `timeframe.change()` for HTF candle building - **Scans only on the last bar** (`barstate.islast`) — negligible CPU usage during live trading - **Respects TradingView limits**: max 500 boxes, 500 labels, 500 lines - `calc_bars_count` is set to 2000 to match the default lookback --- ## Tips - On lower timeframes (M1–M5), you'll see many FVG zones. Consider disabling the lowest TFs and focusing on M15+ for cleaner charts - Increase the Gate Buffer pips for volatile instruments like BTC to catch zones that price is approaching - The indicator works on any instrument — stocks, forex, crypto, indices, commodities - Adjust the Pip Size setting to match your instrument (e.g., 0.0001 for forex pairs, 0.01 for stocks, 0.1 for crypto) - Use the transparency settings to make lower TF zones more transparent so higher TF zones stand out --- **Built with Pine Script v6. No repainting. No request.security(). Pure multi-timeframe analysis.** Anyone who want MT5 version, I'm selling it for USD100
Indicador Pine Script®
por bullwise
Smart Money Failure Detector This indicator identifies moments when price fakes a breakout above a key high or below a key low, only to get violently rejected back inside the range. These are known as liquidity grabs or stop hunts moments where smart money runs retail breakout traders out of their positions before reversing hard in the opposite direction. HOW IT WORKS The indicator defines a dynamic range using a configurable lookback period. When price sweeps above the range high or below the range low but closes back inside with a strong reversal body, a rejection wick larger than the body, and a volume spike above average therefore a trap is confirmed. Two trap types are detected: → Single-bar trap — the entire sweep and rejection happens within one candle → Multi-bar trap — price holds outside the range for a few candles before failing and closing back inside with conviction SIGNAL TYPES 🐂 Bull Trap → SHORT Price swept above the high, rejected, and closed bearish. Sellers are now in control. 🐻 Bear Trap → LONG Price swept below the low, rejected, and closed bullish. Buyers absorbed all the selling. WHAT APPEARS ON THE CHART → Triangle marker above or below the trap candle → Background highlight on the trap candle → Dashed stop line plotted at the wick tip → Dashed target line at your chosen Risk:Reward distance → Label showing the exact stop and target price STOP LOSS LOGIC The stop is placed at the extreme of the sweep wick. The high of the trap candle for shorts, the low for longs. If price returns to that level the trap thesis is invalidated. The target is the stop distance multiplied by your R:R setting, default is 2:1. SETTINGS Range Lookback — bars used to define the prior high and low Max Bars to Close Back Inside — how long the multi-bar trap window stays open after a breakout Volume Spike Multiplier — how far above average volume must be to confirm smart money activity Min Body % — minimum body size relative to the full candle range to ensure reversal conviction Min Wick Ratio — minimum rejection wick to body ratio to confirm a hard sweep occurred Risk:Reward Target — how much risk to reward you want RECOMMENDED USAGE Best used on custom Risk:reward and other custom settings as all assets work very different to each other. Please do some backtests before live trading. ─────────────────────────────────────────
Indicador Pine Script®
por AdarshShrma
Change-Point Detection (CUSUM) [LuxAlgo]The Change-Point Detection (CUSUM) indicator is a statistical tool designed to detect structural changes in price trends by accumulating deviations from a mean, allowing for the identification of regime shifts before they become obvious to the naked eye. 🔶 USAGE The indicator helps traders identify when a market has shifted from its current state (bullish or bearish) by monitoring the cumulative sum of standardized log-returns. Unlike standard trend-following indicators that rely on lagging averages, CUSUM looks for a "tipping point" where price behavior significantly deviates from its recent historical norm. 🔹 Interpreting the Visuals Regime Line: The solid horizontal/stepping line represents the price level at which the last change-point was detected. The color indicates the current regime (Green for Bullish, Red for Bearish). Pressure Bands: The shaded areas extending from the regime line represent the sPos and sNeg accumulators. These visualize how much "pressure" is building up against the current regime. Markers: Small triangles appear when the accumulated pressure exceeds the user-defined threshold, signaling a change-point and resetting the baseline to the current price. 🔶 DETAILS The script utilizes a modified Cumulative Sum (CUSUM) algorithm, a sequential analysis technique typically used for monitoring change-point detection. The process follows these steps: Log-Returns & Standardization: The script calculates the log-returns of the price and standardizes them into a Z-Score based on a rolling mean and standard deviation. This ensures the sensitivity of the algorithm remains consistent regardless of the asset's price or volatility. Accumulation: Two accumulators ( sPos for upward moves and sNeg for downward moves) track the Z-Score. The Slack (k): This parameter acts as a filter. Only deviations greater than k are added to the accumulators. This prevents the indicator from triggering on minor noise or sideways price action. The Threshold (h): Once an accumulator exceeds the threshold h , a change-point is confirmed. The accumulators are then reset, and a new regime price is established. 🔶 SETTINGS 🔹 Algorithm Settings Lookback Period: Determines the window used to calculate the rolling mean and standard deviation for the standardization of returns. Threshold (h): Controls the sensitivity of the detection. A higher threshold requires a more sustained and significant move to trigger a regime change. Slack (k): Represents the "allowable" deviation. Increasing this value requires price moves to be more aggressive to begin accumulating toward a change-point. 🔹 Dashboard Enable Dashboard: Toggles the visibility of the on-screen information panel. Position: Moves the dashboard to different corners of the chart. Size: Adjusts the scale of the dashboard text and cells.
Indicador Pine Script®
por LuxAlgo
3
Nico Trend Change Indicator + 2 TP TargetsThe Trend Change Indicator (TCI) is a trend-following momentum tool designed to identify clear trade entries and exits based on the relationship between two moving averages and volatility-adjusted margins. Here is a breakdown of how the indicator works and how to interpret its components: 1. The Core Ribbon (Momentum & Trend) The heart of the indicator is the "Ribbon," formed by a Fast and a Slow-moving average. Green Ribbon (Bullish): This occurs when the Fast length is significantly above the Slow length, indicating strong upward momentum. This serves as your Long Entry signal. Red Ribbon (Bearish): This occurs when the Fast length is significantly below the Slow length, indicating strong downward momentum. This serves as your Put / Short Entry signal. White Ribbon (Neutral/Chop): When the difference between the two averages is smaller than the volatility-based margin (determined by the ATR), the ribbon turns white. This is a No Trade Zone or a Take Profit (TP) Zone. 2. Volatility Filtering (ATR Margin) Unlike a standard moving average crossover, the TCI uses an ATR (Average True Range) Margin. The trend only changes to Bullish or Bearish if the gap between the Fast and Slow lines is larger than a specific percentage of the market's current volatility. This helps filter out "fakeouts" or "noise" during sideways markets where moving averages might cross frequently without a real trend starting. 3. Support/Resistance & Forecast Dots SMA Line: The thick white line is a long-term Simple Moving Average (defaulting to 140 periods). It acts as the primary "baseline." If the price is above this line, the overall bias is bullish; below it, the bias is bearish. Forecast Dots: The white dots appearing ahead of the price are SMA Forecasts. They project where the SMA will likely be in the future based on current price action, helping you visualize potential dynamic support or resistance levels before the price reaches them. 4. Higher Timeframe (HTF) Analysis The indicator includes a built-in "Security" function that looks at a higher timeframe (like the 4H or 12H) regardless of what chart you are currently viewing. The dashboard table uses this to show you if the "Big Trend" (HTF) matches the "Current Trend" (Chart TF). Trading in the direction of both timeframes (e.g., both are Green) typically increases the probability of a successful trade. Summary of Trade Signals
Indicador Pine Script®
por nio1101
Recursive Least Squares Forecast [LuxAlgo]The Recursive Least Squares Forecast indicator uses an adaptive linear regression algorithm to estimate price trends in real-time, projecting future movements via a "Ghost Line" and providing dynamic bands and mean reversion signals for identifying market extremes. By continuously updating its internal model with every new bar, the script provides a highly responsive framework for both trend forecasting and volatility-adjusted trading. 🔶 USAGE The indicator aims to identify trend direction and potential exhaustion points. The central RLS mean line represents the current equilibrium price based on the adaptive model, while the bands represent volatility-adjusted extremes. Users can utilize the tool for both trend following and mean reversion strategies: Trend Following: Observe the slope and direction of the RLS Mean and the "Ghost Line" projection to determine the prevailing market bias. Mean Reversion: Use the dynamic bands to identify when price has deviated significantly from its adaptive equilibrium. Responsiveness: Adjust the Forgetting Factor (λ) to control the model's memory. A lower value (e.g., 0.95) makes the model react quickly to new price pivots, while a higher value (e.g., 0.99) provides a smoother, more stable trend line. 🔹 Mean Reversion Signals The indicator identifies mean reversion opportunities using a two-step process: Overextension: A setup begins when the price crosses outside the Upper or Lower Band, indicating an overbought or oversold state. Entry Signal: A "BUY" or "SELL" signal is triggered when the price crosses back inside the band, suggesting a return to the RLS mean. Targets: The RLS mean line serves as the primary take-profit target for these mean reversion setups. 🔶 DETAILS The model assumes a linear relationship where the intercept and slope are updated recursively. The RLS algorithm is an adaptive filter that effectively "learns" the trend at every bar. It uses a state-space approach where the transition matrix is updated using a gain vector, ensuring the most efficient estimate of the current trend trajectory. Unlike standard Moving Averages, the Recursive Least Squares (RLS) algorithm minimizes the sum of squared prediction errors by giving more weight to recent data. This allows the mean line to pivot quickly when market conditions change without the lag associated with traditional smoothing techniques. The "Ghost Line" extends from the last bar into the future, providing a linear projection of where the current trend is headed. Surrounding this projection are "Standard Deviation Forecast Bands," which indicate the expected range of price movement based on the current model state. 🔶 SETTINGS Forgetting Factor (λ): Controls how quickly the model forgets old data. Values closer to 1.0 make the model stable, while lower values make it more adaptive to recent price changes. Band Multiplier: Standard deviation multiplier for the forecast bands, controlling the width of the mean reversion zones. Forecast Horizon: Number of bars to project the "Ghost Line" and uncertainty bands into the future. Show Ghost Line & Bands: Toggles the visibility of the future projection polylines. Show Mean Reversion Signals: Toggles the visibility of the BUY/SELL labels on the chart.
Indicador Pine Script®
por LuxAlgo
6