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Cycle-Synced Channel Breakout📌 Cycle-Synced Channel Breakout – Detect Breakouts Confirmed by Candles and Momentum Cycles 📖 Overview The Cycle-Synced Channel Breakout indicator is a precision breakout detection tool that combines the power of: • Adaptive Keltner Channels • Dominant Cycle Period Analysis (Ehlers-inspired) • Candlestick Pattern Recognition (Engulfing) This multi-layered approach helps identify true breakout opportunities by filtering out noise and false signals, making it ideal for swing traders and intraday traders seeking high-probability directional moves. ⚙️ How It Works 1. Keltner Channel Envelope A dynamic volatility channel based on the EMA and ATR defines the upper and lower bounds of price movement. 2. Engulfing Candle Detection The script detects strong bullish and bearish engulfing patterns, which often signal trend reversals or momentum continuations. 3. Dominant Cycle Momentum (Ehlers-inspired) Using a smoothed power oscillator derived from a detrended price series, the indicator assesses whether momentum is accelerating during the breakout — filtering out weak moves. 4. Signal Confirmation Logic A signal is only shown when: • An engulfing pattern is detected, and • Price breaks out of the Keltner Channel, and • Momentum (cycle power) is rising 5. Visual Feedback • Breakout signals are plotted with “BUY” or “SELL” labels • Faded green/red background highlights confirmed breakouts • Optional display of engulfing candles with triangle markers ⸻ 🛠️ Key Features • ✅ Adaptive Keltner Channels • ✅ Bullish/Bearish Engulfing Candle Recognition • ✅ Ehlers-style Cycle Momentum Confirmation • ✅ Background highlights for confirmed breakouts • ✅ Optional candle pattern visualization • ✅ Lightweight and Pine v6 compatible ⸻ 🧪 Inputs • Keltner Length – EMA period for channel basis • Multiplier – Multiplied with ATR to determine band width • Cycle Lookback – Used to calculate smoothed cycle power • Show Engulfing Candles? – Toggles candlestick signals • Show Breakout Signals? – Toggles breakout labels and backgrounds ⸻ 🧠 How to Use • Look for “BUY” or “SELL” labels when: • An engulfing candle breaks through the Keltner Channel • Cycle momentum confirms strength behind the move • The background color will faintly highlight the breakout direction. • Use in combination with other trend or volume indicators for added confluence. 🔒 Notes • This indicator is not repainting. • It is designed for educational and research purposes only. • Works across all timeframes and asset classes (stocks, crypto, forex, etc.)
Pine Script® indicator
by TradeTechanalysis
PCCE + False Breakout DetectorPCCE + False Breakout Detector Type: Invite-Only Indicator (closed source) Purpose : Detect price compression and the first expansion after it, while flagging failed breakouts (bull/bear traps) for risk control. 1) What’s original here! This tool integrates three behaviour-driven tests that work in a single decision flow: A compression score built from: (a) monotonic body shrink, (b) wick-dominance, and (c) relative range contraction versus history. This is not a bands/oscillator port; it’s a structure-first filter that isolates coils. A thrusted expansion requirement that combines real-body impulse and relative-volume participation (+ optional EMA alignment) to qualify a breakout beyond the coil envelope. An immediate post-breakout failure test (trap logic) that checks whether the breakout re-enters the prior swing range within a short window. Used together, these steps turn raw breaks into contextual, risk-aware events: setup → trigger → validation. That is the value of the combination. ⸻ 2) Concepts behind the calculations: Let body_t = |close_t − open_t|, uw_t = high_t − max(open_t, close_t) (upper wick), lw_t = min(open_t, close_t) − low_t (lower wick), R_t(k) = highest(high, k)_t − lowest(low, k)_t (range over k bars), MA_body(k) = SMA(body, k), MA_vol(k) = SMA(volume, k). 2.1 Compression (coil) detection We evaluate within a window k = coilLength: • Body shrink count: number of consecutive steps where body_(t−i) < body_(t−i−1). • Wick dominance: AvgWickBody = avg( (uw + lw) / body ) over the window; require AvgWickBody > wickRatioMin. • Relative range contraction: current R_t(k) must be less than α × avg( R_(t−j)(k) ) computed over a lookback of rangeWindow windows, with α < 1 (tight market). When all three are true, we mark a coil zone; the coil bounds are High_coil = highest(high, k), Low_coil = lowest(low, k). 2.2 Expansion (“Burst”) confirmation A breakout is only qualified when all hold on bar close: • Direction: close > High_coil → up; close < Low_coil → down. • Body thrust: body_t > MA_body(k) × bodyMult. • Participation: volume_t > MA_vol(k) × volumeMultiplier. • Trend alignment (optional): close_t > EMA(emaLen) for up / < EMA for down. • Cooldown: t − lastSignal > cooldownBars. If satisfied, print Burst↑ or Burst↓ on that bar. 2.3 Failed breakout (trap) detection Let H_s and L_s be the prior swing high/low from a lookback rangeLookback (excluding the current bar). Define: • Bull break attempt: a bar that closed above H_s. Bull trap: within fakeoutBars bars after that attempt, any close returns below H_s. Mark ❌ red above that bar. • Bear break attempt: a bar that closed below L_s. Bear trap: within fakeoutBars bars after that attempt, any close returns above L_s. Mark ❌ green below that bar. Alerts fire on bar close only. ⸻ 3) What you’ll see on the chart • Coil box: shaded envelope (tight-range bounds). • Burst labels: Burst↑ / Burst↓ only when thrust + volume (and optional EMA) confirm the break. • Trap markers: ❌ red (failed bullish breakout) / ❌ green (failed bearish breakout). • Alerts: “Burst Up” and “Burst Down” (close-based). ⸻ 4) How to use it 1. Preparation : When a coil box appears, mark the bounds; expect expansion risk to rise. 2. Trigger : Act only on Burst labels (they already encode body/volume thrust and optional trend). 3. Validation : If a ❌ trap prints shortly after a breakout, treat it as a warning/exit event; breakouts that re-enter the prior swing range are statistically fragile. 4. Context : Works well on 15m–4H where structure is visible. Combine with your own higher-timeframe bias, S/R, liquidity pools, and risk rules. 5. Tuning : • Tighten/loosen coil sensitivity via coilLength, wickRatioMin, and the range contraction factor. • Use larger bodyMult / volumeMultiplier to demand stronger breaks. • cooldownBars controls clustering in fast sessions. • rangeLookback and fakeoutBars control how strict the trap check is. ⸻ 5) Repainting, scope, and limitations • Burst and trap labels are evaluated on bar close; once printed, they do not repaint. Coil boxes can update while forming; they stabilize once conditions are met. • Sudden news/illiquid periods can defeat filters; adjust multipliers and cooldown for your instrument. • This is an indicator, not a strategy; it does not publish PnL, win-rate, or forward promises.
Pine Script® indicator
by TradeTechanalysis
Advanced LOREN SETUP (3.1)This indicator is an exclusive access tool based on the Advanced Loren Setup, collaboratively designed by the expert mentors at StockTutor. It is built to provide traders with a strategic edge in the markets by integrating refined technical insights and proprietary logic. ⚠ Disclaimer: This indicator is strictly for personal use only. Redistribution, resale, or unauthorized sharing of this tool is strictly prohibited. Any attempt to copy, modify, or commercialize this setup without permission from StockTutor will result in legal action.
Pine Script® indicator
by Stocktutor
MAHA MACDThe Custom Multi-Timeframe MACD indicator allows traders to simultaneously monitor MACD momentum and trend signals from two user-selectable timeframes in a single pane. It calculates the classic Moving Average Convergence Divergence (MACD) line, signal line, and histogram for both chosen intervals, providing a comprehensive view of multiple timeframes without switching charts. Key Features: Dual timeframe MACD analysis: Select any two timeframes (e.g., 3 minutes and 15 minutes, or 1 hour and 2 hours) to visualize intraday and higher trend momentum together in one indicator. Fully customizable MACD settings: Adjust the fast length, slow length, and signal smoothing periods to tailor indicator sensitivity based on trading style and asset volatility. Clear visual differentiation: Distinct color schemes for each timeframe’s MACD line, signal line, and histogram make it easy to compare momentum changes across timeframes at a glance. User-friendly design: Soft colored backgrounds highlight each timeframe’s section, enabling quick identification and reducing eye strain during extended analysis. Real-time responsiveness: Higher timeframe MACD values update in real time on the current chart timeframe, enabling proactive decision-making without waiting for candle closes. Use Cases:
Pine Script® indicator
by subhashBishnoii
Mystic Pulse V2.0 [CHE] Mystic Pulse V2.0 — Adaptive DI streaks with gradient intensity for clearer trend persistence Summary Mystic Pulse V2.0 measures directional persistence by counting how often the positive or negative directional index strengthens and dominates. These counts drive gradient colors for bars, wicks, and helper plots, so intensity reflects local momentum rather than absolute values. A windowed normalization and gamma control adapt the visuals to recent conditions, preventing one regime from overpowering the next. The result is an immediate, at-a-glance read of trend direction and stamina without relying on crossovers alone. Motivation: Why this design? Classical DI and ADX signals can flip during choppy phases or feel sluggish in calm regimes. This script focuses on persistence: it increments a positive or negative streak only when the corresponding directional pressure both strengthens compared with the prior bar and dominates the other side. Simple OHLC pre-smoothing reduces micro-noise, and local normalization keeps the scale relevant to the last segment of data, not a distant past. What’s different vs. standard approaches? Reference baseline: Traditional DI and ADX lines with crossovers and fixed-scale thresholds. Architecture differences: Wilder-style recursive smoothing on true range and directional movement. Streak counters for positive and negative pressure that advance only on strengthening and dominance. Windowed normalization and gamma shaping for visual intensity. Wick coloring via `plotcandle` with forced overlay from a pane indicator. Practical effect: Bars and wicks grow more vivid during sustained pressure and fade during indecision. The column plots show streak depth directly, which helps filter one-bar flips. How it works (technical) 1. Pre-smoothing: Open, high, low, and close are averaged over a short simple moving window to dampen micro-ticks. 2. Directional inputs: True range and directional movement are formed from the smoothed prices, then recursively smoothed using a Wilder-style update that carries prior state forward. 3. DI comparison: The script derives positive and negative directional ratios relative to smoothed range. A side advances its streak when it increases compared with the previous bar and exceeds the opposite side. The other streak resets. 4. Trend score and color base: The difference between positive and negative streaks defines the active side. 5. Normalization and gamma: The absolute streak magnitude and each side’s streak are normalized within a rolling window. Gamma parameters reshape intensity so mid-range values are either compressed or emphasized. 6. Rendering: Two column plots show positive and negative streak counts in the pane with gradient colors. A square marker at the bottom uses the global gradient as a compact heat cue. Bar colors on the main chart use either the gradient, neutral trend colors, or no paint depending on toggles. Wick, border, and candle overlays are colored via `plotcandle` with forced overlay. 7. State handling: Smoothed values and counters persist across bars; initialization uses first available values without lookahead. No higher-timeframe requests are used, so repaint risk is limited to normal live-bar evolution. Parameter Guide Show neutral candles (fallback) — Paints main-chart bars in plain up or down colors when gradients are disabled — Default false — Use when you prefer simple up/down coloring. Show last N shapes — Limits bottom square markers — Default 333 — Reduce if your chart gets cluttered. ADX smoothing length — Controls the Wilder smoothing window for range and directional movement — Default 9 — Larger values increase stability but respond later. OHLC SMA length — Pre-smoothing for inputs — Default 1 — Increase slightly on noisy assets to reduce flip risk. Gradient barcolor — Enables gradient bar paint on the main chart — Default true — Turn off to use wicks only or neutral bars. Wick coloring — Colors wicks, borders, and bodies via overlay — Default true — Disable if it conflicts with other overlays. Gradient window — Lookback for local normalization — Default 100 — Shorter windows adapt faster; longer windows provide steadier intensity. Gradient transparency — Overall transparency for gradient paints — Default 0 — Increase to make gradients subtler. Gamma bars/shapes — Contrast for bar and shape intensity — Default 0.70 — Lower values brighten mid-tones; higher values compress them. Gamma plots — Contrast for the column plots — Default 0.80 — Tune separately from bar intensity. Wick transparency — Transparency for wick coloring — Default 0 — Raise to let price action show through. Up/Down colors (dark and neon) — Base and accent colors for both directions — Defaults as provided — Adjust to match your chart theme. Reading & Interpretation Pane columns: The green column represents the positive streak count; the red column represents the negative streak count. Taller columns signal stronger persistence. Gradient marker: The bottom square indicates the active side and persistence strength at a glance. Main-chart bars and wicks: Color direction shows the dominant side; intensity reflects the normalized and gamma-shaped streak magnitude. Faded tones suggest weak or fading pressure. Practical Workflows & Combinations Trend following: Enter in the direction of the active side when the corresponding column expands over several bars. Confirm with structure such as higher highs and higher lows or lower highs and lower lows. Exits and stops: Consider scaling out when intensity fades toward mid-range while structure stalls. Tighten stops after extended streaks or when wicks lose intensity. Multi-asset/Multi-TF: Use defaults for liquid assets on intraday to swing timeframes. For highly volatile instruments, raise smoothing and the normalization window. For calm markets, lower them to regain sensitivity. Behavior, Constraints & Performance Repaint/confirmation: Values update during the live bar and stabilize after bar close. No historical repaint beyond normal live-bar updates. security()/HTF: Not used; cross-timeframe repaint paths do not apply. Resources: Declared `max_bars_back` two thousand; no explicit loops or arrays; plot and label limits are generous. Known limits: Streak counters can remain elevated during slow reversals. Very short normalization windows can cause rapid intensity swings. Gaps or extreme spikes may temporarily distort intensity until the window adapts. Sensible Defaults & Quick Tuning Start with: ADX smoothing nine, OHLC SMA one, normalization window one hundred, gradient and wick coloring enabled, gamma around zero point seven to zero point eight. Too many flips: Increase ADX smoothing and the normalization window; consider a small bump in OHLC SMA. Too sluggish: Decrease ADX smoothing and the normalization window. Colors overpower chart: Increase gradient and wick transparency or raise gamma to compress mid-tones. What this indicator is—and isn’t This is a visualization and signal layer that represents directional persistence and intensity. It does not issue trade entries or exits on its own and is not predictive. Use it alongside market structure, volume, and risk controls. Disclaimer The content, including any code, is for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any instrument. Trading involves substantial risk, including the possible loss of principal. Past performance is not indicative of future results. Always do your own research and consider consulting a qualified professional.
Pine Script® indicator
by chervolino
LQ sweep (DeadCat)This indicator provides a streamlined approach to Smart Money Concepts (SMC) market structure analysis, focusing on identifying liquidity sweep patterns at key structural levels. The script tracks price action to detect when institutional liquidity is being targeted through systematic structure breaks. Core Methodology: The indicator employs a dual-pivot system (20/2 bars) to identify market structure points internally, then monitors for liquidity sweeps at these levels: Trend Continuation Sweeps: When price breaks above Higher Highs (uptrend) or below Lower Lows (downtrend) Trend Reversal Sweeps: When price breaks below Higher Lows (uptrend) or above Lower Highs (downtrend) Market Structure Engine: Automatically establishes initial trend direction from first two pivot points Tracks structure progression internally without visual clutter Requires 2-candle confirmation (bullish/bearish) before finalizing new structure levels Maintains pending structure states until proper confirmation occurs Liquidity Sweep Detection: The indicator identifies four distinct liquidity sweep scenarios: Bullish Continuation: HH break in established uptrend Bearish Continuation: LL break in established downtrend Bullish Reversal: LH break signaling potential uptrend resumption Bearish Reversal: HL break signaling potential downtrend resumption Key Features: Simplified Interface: Single settings group for all liquidity sweep configurations Flexible Label Positioning: Choose where sweep labels appear on lines Consistent Visual Style: All sweeps use the same color/style for clarity Minimal Chart Clutter: No market structure labels, only essential sweep markers Unique Implementation: Unlike traditional SMC indicators that display all structure points, this tool focuses exclusively on actionable liquidity sweeps. It maintains the mathematical rigor of structure tracking internally while presenting only the critical sweep levels where institutional activity is likely concentrated. Usage: Liquidity sweeps often precede significant moves as they represent areas where stop-losses accumulate. Traders can use these levels to: - Identify potential reversal zones after sweep completion - Spot continuation patterns when sweeps align with trend - Time entries after liquidity has been collected - Set stop-loss levels beyond recent sweep points This indicator simplifies complex SMC concepts into actionable liquidity sweep signals, making it suitable for traders who want to focus on key institutional levels without overwhelming chart analysis.
Pine Script® indicator
by DeadCatCode
ML-Enhanced Multi-Indicator Composite Signal🤖 ML-Enhanced Multi-Indicator Composite Signal Revolutionary AI-Powered Trading Indicator with Adaptive Learning Transform your trading with cutting-edge machine learning technology that automatically optimizes indicator weights based on real market performance! 🎯 What Makes This Indicator Special? This isn't just another composite indicator. It's an intelligent trading system that learns from market data and continuously adapts to improve signal accuracy. Unlike static indicators with fixed weights, this AI-powered tool dynamically adjusts the importance of each technical indicator based on their actual prediction success rates. ⚡ Key Features 🤖 Adaptive Machine Learning Engine Automatically tracks prediction accuracy for each indicator Dynamically adjusts weights based on performance Continuous learning and adaptation to market conditions Configurable learning parameters for fine-tuning 📊 Multi-Indicator Fusion SuperTrend: Trend direction and momentum Moving Averages: Price trend confirmation (SMA/EMA/WMA/RMA) VWAP: Volume-weighted price levels Linear Regression: Mathematical trend analysis 🎯 Intelligent Signal Generation Strong Buy/Buy/Sell/Strong Sell signals Configurable threshold levels Signal smoothing to reduce noise Smart signal timing to avoid repetitive alerts 📈 Performance Analytics Dashboard Real-time accuracy tracking for each indicator Weight distribution visualization ML vs. Equal weights comparison Learning progress monitoring 🚀 How It Works 1. Data Collection Phase The indicator continuously monitors the performance of each technical component, storing predictions and actual market outcomes. 2. Learning Phase Using configurable learning periods (20-500 bars), the ML engine calculates accuracy rates for each indicator's predictions. 3. Weight Optimization Based on performance data, the system automatically adjusts weights using a configurable learning rate, ensuring better-performing indicators have more influence. 4. Signal Generation The optimized composite signal triggers buy/sell alerts when crossing predefined thresholds, with visual signals and background coloring. ⚙️ Customization Options Machine Learning Parameters Learning Period: 20-500 bars (default: 100) Prediction Horizon: 1-20 bars (default: 5) Learning Rate: 0.01-1.0 (default: 0.1) Minimum Weight: Prevents any indicator from becoming irrelevant Performance Smoothing: Reduces noise in accuracy calculations Traditional Settings SuperTrend: Period and multiplier adjustment Moving Average: Type selection and length VWAP: Source customization Linear Regression: Length and source options Signal Configuration Threshold Levels: Customizable buy/sell trigger points Signal Smoothing: Reduces false signals Manual Override: Option to use fixed weights instead of ML 📱 Visual Features Signal Line Display Dynamic color coding based on signal strength Threshold level lines for clear entry/exit points Background coloring for quick market sentiment assessment Performance Table Real-time accuracy metrics for each indicator Current weight distribution showing ML optimization Performance comparison between ML and equal weights Learning progress indicator Signal Shapes 🚀 Strong Buy: Large green triangle with text 📈 Buy: Standard green triangle 📉 Sell: Standard red triangle 💥 Strong Sell: Large red triangle with text 🎓 Best Practices & Usage Tips For Beginners Start with default ML settings Allow 100+ bars for proper learning Focus on Strong Buy/Sell signals initially Monitor the performance table to understand ML adaptation For Advanced Traders Adjust learning rate based on market volatility Customize prediction horizon for your trading timeframe Fine-tune threshold levels for your risk tolerance Combine with additional confirmation indicators Recommended Settings by Timeframe Scalping (1m-5m): Learning Period: 50, Prediction Horizon: 3 Day Trading (15m-1h): Learning Period: 100, Prediction Horizon: 5 Swing Trading (4h-1D): Learning Period: 200, Prediction Horizon: 10 🔔 Alert System Set up comprehensive alerts for: Strong Buy/Sell signals with maximum consensus Regular Buy/Sell signals for standard entries Custom message templates with price and signal strength Email, SMS, and webhook compatibility ⚠️ Important Notes Learning Period: Allow sufficient data for ML optimization (minimum 50 bars recommended) Market Conditions: Performance may vary during high volatility or trending vs. ranging markets Backtesting: Test thoroughly on historical data before live trading Risk Management: Always use proper position sizing and stop losses 🏆 Why Choose This Indicator? ✅ Adaptive Intelligence: Unlike static indicators, this tool evolves with market conditions ✅ Transparent Performance: See exactly how well each component is performing ✅ Comprehensive Analytics: Make informed decisions with detailed performance metrics ✅ Professional Grade: Developed by experienced traders for serious market participants ✅ Continuous Innovation: Regular updates and improvements based on user feedback 📊 Performance Tracking The indicator provides unprecedented transparency into its decision-making process: Individual indicator accuracy rates Weight evolution over time Improvement metrics vs. baseline Learning curve visualization Transform your trading with the power of adaptive machine learning. Let the market data guide your strategy optimization automatically! Tags: Machine Learning, AI Trading, Composite Signal, Multi-Indicator, Adaptive Algorithm, Signal Generation, Trading Automation, Technical Analysis Category: Trend Following, Oscillators, Signal Generators
Pine Script® indicator
by decimalTuna90249
210
Bullish Breakout - SBStep 1 – Chart Setup Timeframe: 5-minute Studies to add: VWAP (Session VWAP) EMA 9 & EMA 20 (trend filter) Bullish Breakout – Clean v6.1 ⚙️ Step 2 – Indicator Settings (scalping mode) Resistance lookback: 15 Volume confirmation: ON, multiplier = 1.2–1.3 (lighter requirement, more signals). RSI filter: ON, threshold = 55 (looser than intraday swing). MACD filter: ON HTF filter: ON → timeframe = 15m, EMA = 50 (so trades align with short-term trend). Retest check: ON (safer signals). ATR stop/targets: ON → ATR length 14, Stop = 1.0×ATR, T1 = 0.7×ATR, T2 = 1.4×ATR. Visuals: Stealth Mode ON (just arrows + compact label). 🎯 Step 3 – Entry Rules Wait for a green breakout arrow under a 5m bar. Confirm conditions: Price is above VWAP. EMA 9 > EMA 20 (micro trend bullish). Optional: RSI > 55 and volume above SMA×1.2. Enter at close of breakout bar. Aggressive: enter right on arrow. Conservative: enter only if teal retest dot confirms. 🛡️ Step 4 – Risk/Exit Plan Stop loss: red ATR line (~1×ATR below entry). Target 1 (T1): yellow ATR line (~0.7×ATR above entry). Target 2 (T2): green ATR line (~1.4×ATR above entry). Management: Sell 70% at T1, move stop to entry. Let 30% run to T2 or trail with EMA 9. 🔔 Step 5 – Alerts Set TradingView alerts for: Bullish Breakout (green arrow) Breakout Retest Confirmed (teal dot) So you don’t miss quick setups during the session. ⚡ Extra Scalping Tips Focus on liquid tickers (ORCL, MSFT, AAPL, NVDA, etc.) — tight spreads, good volume. Trade first 2–3 hours after market open for best volatility. Avoid scalping right before big news (FOMC, earnings). Don’t overstay: average 10–30 minutes per trade.
Pine Script® indicator
by sboddukuru
BNF 25/50 MA Pullback Screener (Uptrend-Below / Downtrend-Above)Buy candidates: stocks in an uptrend (25MA > 50MA, optional rising slopes) that are currently pulled back below the MAs. • Sell/short candidates: stocks in a downtrend (25MA < 50MA, optional falling slopes) that are currently pushed above the MAs. It plots the MAs, paints the background for trend context, drops signals on the chart, shows a status panel, and exposes alert conditions so you can screen your watchlist via alerts.
Pine Script® indicator
by jackson_g_sheehan