Rozpocznij

Wyszukaj w skryptach "Candlestick"

Nifty Intraday 9:30- 3 Min Candle By Trade Prime Algo.Nifty Intraday 9:30 – 3 Min Candle Strategy by Trade Prime Algo This strategy is designed to help traders identify intraday long entries, stop-loss, and multi-target levels on the Nifty Spot / Nifty Futures based on the first 3-minute candle breakout after 9:30 AM. It automates trade detection, entry marking, target plotting, and trailing stop-loss logic, allowing traders to visualize complete trade flow with clarity and precision. The system offers: ✅ Auto identification of long entries based on candle breakout logic ✅ Configurable stop-loss, trailing SL, and four partial profit targets ✅ Dynamic plotting of entry, TSL, and targets on chart ✅ Custom alert messages for each event (Entry, TP1–TP4, SL, Close) ✅ Adjustable time session and test periods for backtesting ⚙️ How to Use 1️⃣ Set your desired start time (default: 9:15–9:30 AM). 2️⃣ Choose your stop-loss type — percentage or points. 3️⃣ Adjust target levels (TP1–TP4) and trailing SL settings as per your risk appetite. 4️⃣ Use this strategy for educational backtesting and research only — not for live trading signals. 5️⃣ The tool can be combined with price action zones or higher-timeframe analysis for best results. ⚠️ Disclaimer (SEBI & Risk Disclosure) This strategy is developed strictly for educational and research purposes. The creator of this script and Trade Prime Algo are not SEBI-registered advisors. This tool does not guarantee any specific profit or performance. Trading involves risk; users may incur partial or total capital loss. All decisions taken using this indicator or strategy are solely at the user’s discretion and risk. The creator assumes no liability for profit, loss, or any consequences arising from the use of this script. Always perform your own due diligence and trade responsibly.
Strategia Pine Script®
od healingcrystalsusa
RSI + BB strategyBollinger Bands 20/2.5 + RSI 20-day 25/75 Long = Enter a long position when the price breaks below the Bollinger Band, the candlestick closes, and the RSI is below 25. Short = Enter a short position when the price breaks above the Bollinger Band, the candlestick closes, and the RSI is above 75. Take profit = Default setting: Take profit when profit is +4%. For safety, sell half of the position when profit is +2% to break even. Lower average: -5% loss. If the RSI is 20/80, use the lower average. Sell the remaining amount when the price returns to its original price. Based on 5-minute and 15-minute charts Otherwise, signals will be difficult to obtain. For charts longer than 1 hour, adjust RSI and BB appropriately.
Strategia Pine Script®
od volders50
Amiya's Doji / Hammer / Spinning Top Breakout Strategy v5How it works 1. Pattern Detection (Previous Candle): • Checks if total shadow length ≥ 2 × body. • Checks if candle height (high − low) is between 10 and 21.5 points. • If true → marks that candle as a potential Doji, Hammer, or Spinning Top. 2. Long Setup: • LTP (close) crosses above previous candle high. • Previous candle is a valid pattern candle. • Stop Loss = 3 points below previous candle low. • Take Profit = 5 × (high − low) of previous candle added to previous high. 3. Short Setup: • LTP (close) crosses below previous candle low. • Previous candle is a valid pattern candle. • Stop Loss = 3 points above previous candle high. • Take Profit = 5 × (high − low) of previous candle subtracted from previous low. 4. Visualization: • Yellow background highlights pattern candles. • Green ▲ and Red ▼ markers show entry points. Deep yellow candles → represent Doji / Hammer / Spinning Top patterns • Green triangle → Buy signal • Red triangle → Sell signal • Dotted green line + label → Target • Dotted red line + label → Stop loss • Gray background → Outside trading hours • Auto close → All trades square off at 3:29 PM IST
Strategia Pine Script®
od amiyashankar
saodisengxiaoyu-lianghua-2.1- This indicator is a modular, signal-building framework designed to generate long and short signals by combining a chosen leading indicator with selectable confirmation filters. It runs on Pine Script version 5, overlays directly on price, and is built to be highly configurable so traders can tailor the signal logic to their market, timeframe, and trading style. It includes a dashboard to visualize which conditions are active and whether they validate a signal, and it outputs clear buy/sell labels and alert conditions so you can automate or monitor trades with confidence. Core Design - Leading Indicator: You choose one primary signal generator from a broad list (for example, Range Filter, Supertrend, MACD, RSI, Ichimoku, and many others). This serves as the anchor of the system and determines when a preliminary long or short setup exists. - Confirmation Filters: You can enable additional filters that validate the leading signal before it becomes actionable. Each “respect…” input toggles a filter on or off. These filters include popular tools like EMA, 2/3 EMA crosses, RQK (Nadaraya Watson), ADX/DMI, Bollinger-based oscillators, MACD variations, QQE, Hull, VWAP, Choppiness Index, Damiani Volatility, and more. - Signal Expiry: To avoid waiting indefinitely for confirmations, the indicator counts how many consecutive bars the leading condition holds. If confirmations do not align within a defined number of bars, the setup expires. This controls latency and helps reduce late or stale entries. - Alternating Signals: An optional mode enforces alternation (long must follow short and vice versa), helping avoid repeated entries in the same direction without a meaningful reset. - Aggregation Logic: The final long/short conditions are formed by combining the leading condition with all selected confirmation filters through logical conjunction. Only if all enabled filters validate the signal (within expiry constraints) does the indicator consider it a confirmed long or short. - Visualization and Alerts: The script plots buy/sell labels at signal points, provides alert conditions for automation, and displays a compact dashboard summarizing the leading indicator’s status and each confirmation’s pass/fail result using checkmarks. Leading Indicator Options - The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include: - Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode. - Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction. - Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels. - Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span. - TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts. - Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength. - ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds. - RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends. - Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles. - Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges. Confirmation Filters - Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples: - EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels. - 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment. - RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern. - RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories. - Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade. - VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts. - ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades. - Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup. - By combining several filters you can create strict, conservative entries or looser setups depending on your goals. Range Filter Engine - A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types: - Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges. - Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments. - The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation. Signal Construction - The script computes: - leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator. - longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition. - Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger. - Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset. - Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions. Visualization - Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”). - Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning. - Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals. - Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates. Inputs and Parameters - You control the indicator from a comprehensive input panel: - Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size). - Leading Indicator: Choose the primary signal generator from the large list. - Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior. - Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales. - Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes. Alerts and Automation - The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration. Typical Workflow - Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian. - Add a few key Confirmation Filters that complement the leading signal. For example: - Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum. - Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions. - Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough. - Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly. - Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed. - For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot. Strengths and Practical Notes - Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately. - Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code. - Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset. - Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean. - Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes. Limitations and Recommendations - No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically. - Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime. - Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy. - Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results. Example Configurations - Trend-Following Setup: - Leading: Supertrend uptrend for longs and downtrend for shorts. - Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA. - Expiry: 3–4 bars to keep entries timely. - Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity. - Mean-Reversion to Momentum Crossover: - Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short). - Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation. - Expiry: 2–3 bars for responsive re-entry. - Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes. - Range Breakout Focus: - Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts. - Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold. - Expiry: 1–3 bars to act on breakout windows. - Result: Better alignment to breakout dynamics, gating trades by volatility and regime. Conclusion - This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
Strategia Pine Script®
od saodisengSeven
多指标量化交易DIY- The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include: - Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode. - Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction. - Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels. - Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span. - TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts. - Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength. - ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds. - RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends. - Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles. - Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges. Confirmation Filters - Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples: - EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels. - 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment. - RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern. - RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories. - Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade. - VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts. - ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades. - Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup. - By combining several filters you can create strict, conservative entries or looser setups depending on your goals. Range Filter Engine - A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types: - Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges. - Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments. - The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation. Signal Construction - The script computes: - leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator. - longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition. - Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger. - Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset. - Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions. Visualization - Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”). - Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning. - Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals. - Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates. Inputs and Parameters - You control the indicator from a comprehensive input panel: - Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size). - Leading Indicator: Choose the primary signal generator from the large list. - Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior. - Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales. - Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes. Alerts and Automation - The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration. Typical Workflow - Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian. - Add a few key Confirmation Filters that complement the leading signal. For example: - Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum. - Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions. - Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough. - Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly. - Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed. - For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot. Strengths and Practical Notes - Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately. - Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code. - Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset. - Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean. - Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes. Limitations and Recommendations - No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically. - Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime. - Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy. - Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results. Example Configurations - Trend-Following Setup: - Leading: Supertrend uptrend for longs and downtrend for shorts. - Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA. - Expiry: 3–4 bars to keep entries timely. - Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity. - Mean-Reversion to Momentum Crossover: - Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short). - Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation. - Expiry: 2–3 bars for responsive re-entry. - Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes. - Range Breakout Focus: - Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts. - Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold. - Expiry: 1–3 bars to act on breakout windows. - Result: Better alignment to breakout dynamics, gating trades by volatility and regime. Conclusion - This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
Strategia Pine Script®
od saodisengSeven
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter. Scope and intent • Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto • Timeframes: 5 min to 1 day • Default demo: SPY on 60 min • Purpose: fade stretched moves only when multi-anchor context and breadth agree • Limits: strategy uses standard candles for signals and orders only Originality and usefulness • Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM • Failure mode addressed: chasing extended moves and fading during index-wide thrusts • Testability: each component is an input and visible in orders list via L and S tags • Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols • Open source: method and implementation are disclosed for community review Method overview in plain language Base measures • Range basis: ATR(length = atr_len) as the normalization unit • Return basis: not used directly; we use rank statistics for stability Components • Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len • Robust Z of Close: median and MAD based Z to avoid outliers • Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts • Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided • Gap Shock: skip signals after large session gaps Fusion rule • All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear Signal rule • Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok • Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok What you will see on the chart • Standard strategy arrows for entries and exits • Optional short-side brackets: ATR stop and ATR take profit if enabled Inputs with guidance Setup • Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts. • ATR length: normalization unit. Typical 10 to 20. Higher reduces noise. • VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0. • Robust Z window: 40 to 100. Larger for stability. • Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only. • Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches. • Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs. Regime and Breadth • Use breadth gate: on when trading indices or broad ETFs. • Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts. • Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade. Risk — Short only • Enable short SL TP: on to bracket shorts. • Short ATR stop mult: 1.0 to 3.0. • Short ATR take profit mult: 1.0 to 6.0. Properties visible in this publication • Initial capital: 25000USD • Default order size: Percent of total equity 3% • Pyramiding: 0 • Commission: 0.03 percent • Slippage: 5 ticks • Process orders on close: OFF • Bar magnifier: OFF • Recalculate after order is filled: OFF • Calc on every tick: OFF • request.security lookahead off where used Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Fills and slippage vary by venue • Shapes can move during bar formation and settle on close • Standard candles only for strategies Honest limitations and failure modes • Economic releases or very thin liquidity can overwhelm mean-reversion logic • Heavy gap regimes may require larger gap filter or TR-based tuning • Very quiet regimes reduce signal contrast; extend windows or raise thresholds Open source reuse and credits • None Strategy notice Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution. Entries and exits • Entry logic: as in Signal rule above • Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup • Risk model: ATR-based brackets on shorts when enabled • Tie handling: stop first when both could be touched inside one bar Dataset and sample size • Test across your visible history. For robust inference prefer 100 plus trades.
Strategia Pine Script®
od exlux
2
FluxGate Daily Swing StrategySummary in one paragraph FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close. Scope and intent • Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs • Timeframes. From one minute to daily • Default demo in this publication. SPY on one day timeframe • Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy • Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution Originality and usefulness • Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another. • Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean. • Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common. • Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart. • Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number. Method overview in plain language Base measures • Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window. • Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks. Components • Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating. • Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms. • Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss. • Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior. • Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there. • Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act. • Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule. • Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize. Fusion rule • Normalize the three drivers after removing overlap • Blend with weights that adapt to your aggression input • Multiply by the gates to respect path quality • Smooth just enough to avoid jitter while keeping timing responsive • Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign • The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug Signal rule • A long suggestion appears when the long score crosses above its long threshold while all gates are active • A short suggestion appears when the short score crosses below its short threshold while all gates are active • If any required gate is missing the state is wait • When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips Inputs with guidance Setup Long • Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise • Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing Setup Short • Base length Short. Master window for the short engine. Typical range twenty eight to ninety six • Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols Entries and UI • Entry mode. Both or Long only or Short only Complementary risk engine • Enable risk engine. Turns on bracket exits while keeping your signal logic untouched • ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance • ATR length. Default fourteen • Stop multiple. Default one point five times the anchor ATR • Use take profit. On by default • Take profit in R. Default two R • Breakeven trigger in R. Default one R Usage recipes Intraday trend focus • Entry mode Both • ATR anchor Week • Aggression Long zero point five Aggression Short zero point three • Stop multiple one point five Take profit two R • Expect fewer trades that stick to directional pushes and skip treadmill noise Intraday mean reversion focus • Session windows optional if you add them in your copy • ATR anchor Day • Lower aggression both sides • Breakeven later and trailing later so the first bounce has room • This favors fade entries that still convert into trends when the path stays clean Swing continuation • Signal timeframe four hours or one day • Confirm timeframe one day if you choose to include bias • ATR anchor Week or Month • Larger base windows and a steady two R target • This accepts fewer entries and aims for larger holds Properties visible in this publication • Initial capital 25.000 • Base currency USD • Default order size percent of equity value three - 3% of the total capital • Pyramiding zero • Commission zero point zero three percent - 0.03% of total capital • Slippage five ticks • Process orders on close off • Recalculate after order is filled off • Calc on every tick off • Bar magnifier off • Any request security calls use lookahead off everywhere Realism and responsible publication • No performance promises. Past results never guarantee future outcomes • Fills and slippage vary by venue and feed • Strategies run on standard candles only • Shapes can update while a bar is forming and settle on close • Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable Honest limitations and failure modes • Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads • Gap heavy symbols often behave better with a True Range basis for risk than a simple range • Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep • Session windows follow the exchange time of the chart if you add them • If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative Open source reuse and credits • No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
Strategia Pine Script®
od exlux
MACD + Supertrend + DEMA StrategySTRATEGY 📊 STRATEGY LOGIC: Long Entry: When ALL of these occur simultaneously: MACD histogram crosses above 0 Supertrend is bullish (green) Short DEMA > Long DEMA Short Entry: When ALL of these occur simultaneously: MACD histogram crosses below 0 Supertrend is bearish (red) Short DEMA < Long DEMA Exits: Based on your TP/SL percentages from entry price This follows the same clean structure as your MACD strategy but adds the alignment concept and proper risk management!
Strategia Pine Script®
od bdmasood
Fincandle ATR Direction TrackerOverview The Fincandle ATR Direction Tracker is a strategy designed to capture momentum moves in the market using a dynamic ATR-based trailing stop. It identifies strong momentum candles and filters signals using trend alignment with moving averages. Partial exits allow users to take a portion of profit at a predefined ATR multiple while keeping the remaining position open until the opposite signal occurs. How It Works Momentum Detection: Measures candle body size relative to the Average True Range (ATR). A candle is considered momentum if its body size exceeds ATR × Multiplier. Trend Filter: Uses two moving averages (Fast MA and Slow MA) to determine the market trend. Bullish trend: Fast MA > Slow MA → long trades allowed Bearish trend: Fast MA < Slow MA → short trades allowed Trend filter can be toggled on or off. ATR Trailing Stop: A dynamic trailing stop adapts to price volatility. Crossing above the trail triggers a buy signal, crossing below triggers a sell signal. Partial Exit / Take Profit: Step 1: Exit 50% of the position when price moves a configurable multiple of ATR in your favor. Step 2: Close the remaining position when the opposite signal occurs (e.g., price crosses below/above the ATR trail). How to Use Add the strategy to any chart (stocks, indices, forex, crypto). Configure ATR period, sensitivity, take profit multiple, and moving average lengths to suit the timeframe and asset. Monitor buy/sell markers and dynamic ATR trail on the chart. Optional: Set alerts for real-time notifications when signals trigger. Adjust partial exit multiplier to control risk/reward. Example Settings ATR Period: 10 ATR Sensitivity: 3 × ATR Take Profit: 2 × ATR Fast MA: 50 Slow MA: 200 Partial Exit: 50% of position at take profit, remaining exits on opposite signal Key Features Adaptive ATR trailing stop for volatility-based entries/exits. Trend alignment filter with Fast/Slow MA. Partial exit logic for better risk management. Visual BUY/SELL markers and alerts. Fully Pine Script v6 compatible. Disclaimer This strategy is for educational and analytical purposes only. It does not guarantee profits. Traders should always use proper risk management.
Strategia Pine Script®
od education-fincandle
1
Universal Regime Alpha Thermocline StrategyCurrents settings adapted for BTCUSD Daily timeframe This description is written to comply with TradingView House Rules and Script Publishing Rules. It is self contained, in English first, free of advertising, and explains originality, method, use, defaults, and limitations. No external links are included. Nothing here is investment advice. 0. Publication mode and rationale This script is published as Protected . Anyone can add and test it from the Public Library, yet the source code is not visible. Why Protected The engine combines three independent lenses into one regime score and then uses an adaptive centering layer and a thermo risk unit that share a common AAR measure. The exact mapping and interactions are the result of original research and extensive validation. Keeping the implementation protected preserves that work and avoids low effort clones that would fragment feedback and confuse users. Protection supports a single maintained build for users. It reduces accidental misuse of internal functions outside their intended context which might lead to misleading results. 1. What the strategy does in one paragraph Universal Regime Alpha Thermocline builds a single number between zero and one that answers a practical question for any market and timeframe. How aligned is current price action with a persistent directional regime right now. To answer this the script fuses three views of the tape. Directional entropy of up versus down closes to measure unanimity. Convexity drift that rewards true geometric compounding and penalizes drag that comes from chop where arithmetic pace is high but growth is poor. Tail imbalance that counts decisive bursts in one direction relative to typical bar amplitude. The three channels are blended, optionally confirmed by a higher timeframe, and then adaptively centered to remove local bias. Entries fire when the score clears an entry gate. Exits occur when the score mean reverts below an exit gate or when thermo stops remove risk. Position size can scale with the certainty of the signal. 2. Why it is original and useful It mixes orthogonal evidence instead of leaning on a single family of tools. Many regime filters depend on moving averages or volatility compression. Here we add an information view from entropy, a growth view from geometric drift, and a structural view from tail imbalance. The drift channel separates growth from speed. Arithmetic pace can look strong in whipsaw, yet geometric growth stays weak. The engine measures both and subtracts drag so that only sequences with compounding quality rise. Tail counting is anchored to AAR which is the average absolute return of bars in the window. This makes the threshold self scaling and portable across symbols and timeframes without hand tuned constants. Adaptive centering prevents the score from living above or below neutral for long stretches on assets with strong skew. It recovers neutrality while still allowing persistent regimes to dominate once evidence accumulates. The same AAR unit used in the signal also sets stop distance and trail distance. Signal and risk speak the same language which makes the method portable and easier to reason about. 3. Plain language overview of the math Log returns . The base series is r equal to the natural log of close divided by the previous close. Log return allows clean aggregation and makes growth comparisons natural. Directional entropy . Inside the lookback we compute the proportion p of bars where r is positive. Binary entropy of p is high when the mix of up and down closes is balanced and low when one direction dominates. Intensity is one minus entropy. Directional sign is two times p minus one. The trend channel is zero point five plus one half times sign times intensity. It lives between zero and one and grows stronger as unanimity increases. Convexity drift with drag . Arithmetic mean of r measures pace. Geometric mean of the price ratio over the window measures compounding. Drag is the positive part of arithmetic minus geometric. Drift raw equals geometric minus drag multiplier times drag. We then map drift through an arctangent normalizer scaled by AAR and a nonlinearity parameter so the result is stable and remains between zero and one. Tail imbalance . AAR equals the average of the absolute value of r in the window. We count up tails where r is greater than aar_mult times AAR and down tails where r is less than minus aar_mult times AAR. The imbalance is their difference over their total, mapped to zero to one. This detects directional impulse flow. Fusion and centering . A weighted average of the three channels yields the raw score. If a higher timeframe is requested, the same function is executed on that timeframe with lookahead off and blended with a weight. Finally we subtract a fraction of the rolling mean of the score to recover neutrality. The result is clipped to the zero to one band. 4. Entries, exits, and position sizing Enter long when score is strictly greater than the entry gate. Enter short when score is strictly less than one minus the entry gate unless direction is restricted in inputs. Exit a long when score falls below the exit gate. Exit a short when score rises above one minus the exit gate. Thermo stops are expressed in AAR units. A long uses the maximum of an initial stop sized by the entry price and AAR and a trail stop that references the running high since entry with a separate multiple. Shorts mirror this with the running low. If the trail is disabled the initial stop is active. Cooldown is a simple bar counter that begins when the position returns to flat. It prevents immediate re entry in churn. Dynamic position size is optional. When enabled the order percent of equity scales between a floor and a cap as the score rises above the gate for longs or below the symmetric gate for shorts. 5. Inputs quick guide with recommended ranges Every input has a tooltip in the script. The same guidance appears here for fast reading. Core window . Shared lookback for entropy, drift, and tails. Start near 80 on daily charts. Try 60 to 120 on intraday and 80 to 200 for swing. Entry threshold . Typical range 0.55 to 0.65 for trend following. Faster entries 0.50 to 0.55. Exit threshold . Typical range 0.35 to 0.50. Lower holds longer yet gives back more. Weight directional entropy . Starting value 0.40. Raise on markets with clean persistence. Weight convexity drift . Starting value 0.40. Raise when compounding quality is critical. Weight tail imbalance . Starting value 0.20. Raise on breakout prone markets. Tail threshold vs AAR . Typical range 1.0 to 1.5 to count decisive bursts. Drag penalty . Typical range 0.25 to 0.75. Higher punishes chop more. Nonlinearity scale . Typical range 0.8 to 2.0. Larger compresses extremes. AAR floor in percent . Typical range 0.0005 to 0.002 for liquid instruments. This stabilizes the math during quiet regimes. Adaptive centering . Keep on for most symbols. Center strength 0.40 to 0.70. Confirm timeframe optional . Leave empty to disable. If used, try a multiple between three and five of the chart timeframe with a blend weight near 0.20. Dynamic position size . Enable if you want size to reflect certainty. Floor and cap define the percent of equity band. A practical band for many accounts is 0.5 to 2. Cooldown bars after exit . Start at 3 on daily or slightly higher on shorter charts. Thermo stop multiple . Start between 1.5 and 3.0 on daily. Adjust to your tolerance and symbol behavior. Thermo trailing stop and Trail multiple . Trail on locks gains earlier. A trail multiple near 1.0 to 2.0 is common. You can keep trail off and let the exit gate handle exits. Background heat opacity . Cosmetic. Set to taste. Zero disables it. 6. Properties used on the published chart The example publication uses BTCUSD on the daily timeframe. The following Properties and inputs are used so everyone can reproduce the same results. Initial capital 100000 Base currency USD Order size 2 percent of equity coming from our risk management inputs. Pyramiding 0 Commission 0.05 percent Slippage 10 ticks in the publication for clarity. Users should introduce slippage in their own research. Recalculate after order is filled off. On every tick off. Using bar magnifier on. On bar close on. Risk inputs on the published chart. Dynamic position size on. Size floor percent 2. Size cap percent 2. Cooldown bars after exit 3. Thermo stop multiple 2.5. Thermo trailing stop off. Trail multiple 1. 7. Visual elements and alerts The score is painted as a subtle dot rail near the bottom. A background heat map runs from red to green to convey regime strength at a glance. A compact HUD at the top right shows current score, the three component channels, the active AAR, and the remaining cooldown. Four alerts are included. Long Setup and Short Setup on entry gates. Exit Long by Score and Exit Short by Score on exit gates. You can disable trading and use alerts only if you want the score as a risk switch inside a discretionary plan. 8. How to reproduce the example Open a BTCUSD daily chart with regular candles. Add the strategy and load the defaults that match the values above. Set Properties as listed in section 6.(they are set by default) Confirm that bar magnifier is on and process on bar close is on. Run the Strategy Tester. Confirm that the trade count is reasonable for the sample. If the count is too low, slightly lower the entry threshold or extend history. If the count is excessively high, raise the threshold or add a small cooldown. 9. Practical tuning recipes Trend following focus . Raise the entry threshold toward 0.60. Raise the trend weight to 0.50 and reduce tail weight to 0.15. Keep drift near 0.35 to retain the growth filter. Consider leaving the trail off and let the exit threshold manage positions. Breakout focus . Keep entry near 0.55. Raise tail weight to 0.35. Keep aar_mult near 1.3 so only decisive bursts count. A modest cooldown near 5 can reduce immediate false flips after the first burst bar. Chop defense . Raise drag multiplier to 0.70. Raise exit threshold toward 0.48 to recycle capital earlier. Consider a higher cooldown, for example 8 to 12 on intraday. Higher timeframe blend . On a daily chart try a weekly confirm with a blend near 0.20. On a five minute chart try a fifteen minute confirm. This moderates transitions. Sizing discipline . If you want constant position size, set floor equal to cap. If you want certainty scaling, set a band like 0.5 to 2 and monitor drawdown behavior before widening it. 10. Strengths and limitations Strengths Self scaling unit through AAR makes the tool portable across markets and timeframes. Blends evidence that target different failure modes. Unanimity, growth quality, and impulse flow rarely agree by chance which raises confidence when they align. Adaptive centering reduces structural bias at the score level which helps during regime flips. Limitations In very quiet regimes AAR becomes small even with a floor. If your symbol is thin or gap prone, raise the floor a little to keep stops and drift mapping stable. Adaptive centering can delay early breakout acceptance. If you miss starts, lower center strength or temporarily disable centering while you evaluate. Tail counting uses a fixed multiple of AAR. If a market alternates between very calm and very violent weeks, a single aar_mult may not capture both extremes. Sweep this parameter in research. The engine reacts to realized structure. It does not anticipate scheduled news or liquidity shocks. Use event awareness if you trade around releases. 11. Realism and responsible publication No promises or projections of performance are made. Past results never guarantee future outcomes. Commission is set to 0.05 percent per round which is realistic for many crypto venues. Adjust to your own broker or exchange. Slippage is set at 10 in the publication . Introduce slippage in your own tests or use a percent model. Position size should respect sustainable risk envelopes. Risking more than five to ten percent per trade is rarely viable. The example uses a fixed two percent position size. Security calls use lookahead off. Standard candles only. Non standard chart types like Heikin Ashi or Renko are not supported for strategies that submit orders. 12. Suggested research workflow Begin with the balanced defaults. Confirm that the trade count is sensible for your timeframe and symbol. As a rough guide, aim for at least one hundred trades across a wide sample for statistical comfort. If your timeframe cannot produce that count, complement with multiple symbols or run longer history. Sweep entry and exit thresholds on a small grid and observe stability. Stability across windows matters more than the single best value. Try one higher timeframe blend with a modest weight. Large weights can drown the signal. Vary aar_mult and drag_mult together. This tunes the aggression of breakouts versus defense in chop. Evaluate whether dynamic size improves risk adjusted results for your style. If not, set floor equal to cap for constancy. Walk forward through disjoint segments and inspect results by regime. Bootstrapping or segmented evaluation can reveal sensitivity to specific periods. 13. How to read the HUD and heat map The HUD presents a compact view. Score is the current fused value. Trend is the directional entropy channel. Drift is the compounding quality channel. Tail is the burst flow channel. AAR is the current unit that scales stops and the drift map. CD is the cooldown counter. The background heat is a visual aid only. It can be disabled in inputs. Green zones near the upper band show alignment among the channels. Muted colors near the mid band show uncertainty. 14. Frequently asked questions Can I use this as a pure indicator . Yes. Disable entries by restricting direction to one side you will not trade and use the alerts as a regime switch. Will it work on intraday charts . Yes. The AAR unit scales with bar size. You will likely reduce the core window and increase cooldown slightly. Should I enable the adaptive trail . If you wish to lock gains sooner and accept more exits, enable it. If you prefer to let the exit gate do the heavy lifting, keep it off. Why do I sometimes see a green background without a position . Heat expresses the score. A position also depends on threshold comparisons, direction mode, and cooldown. Why is Order size set to one hundred percent if dynamic size is on . The script passes an explicit quantity percent on each entry. That explicit quantity overrides the property. The property is kept at one hundred percent to avoid confusion when users later disable dynamic sizing. Can I combine this with other tools on my chart . You can, yet for publication the chart is kept clean so users and moderators can see the output clearly. In your private workspace feel free to add other context. 15. Concepts glossary AAR . Average absolute return across the lookback. Serves as a unit for tails, drift scaling, and stops. Directional entropy . A measure of uncertainty of up versus down closes. Low entropy paired with a directional sign signals unanimity. Geometric mean growth . Rate that preserves the effect of compounding over many bars. Drag . The positive difference between arithmetic pace and geometric growth. Larger drag often signals churn that looks active but fails to compound. Thermo stops . Stops expressed in the same AAR unit as the signal. They adapt with volatility and keep risk and signal on a common scale. Adaptive centering . A bias correction that recenters the fused score around neutral so the meter does not drift due to persistent skew. 16. Educational notice and risk statement Markets involve risk. This publication is for education and research. It does not provide financial advice and it is not a recommendation to buy or sell any instrument. Use realistic costs. Validate ideas with out of sample testing and with conservative position sizing. Past performance never guarantees future results. 17. Final notes for readers and moderators The goal of this strategy is clarity and portability. Clarity comes from a single score that reflects three independent features of the tape. Portability comes from self scaling units that respect structure across assets and timeframes. The publication keeps the chart clean, explains the math plainly, lists defaults and Properties used, and includes warnings where care is required. The code is protected so the implementation remains consistent for the community while the description remains complete enough for users to understand its purpose and for moderators to evaluate originality and usefulness. If you explore variants, keep them self contained, explain exactly what they contribute, publish in English first, and treat others with respect in the comments. Load the strategy on BTCUSD daily with the defaults listed above and study how the score transitions across regimes. Then adjust one lever at a time. Observe how the trend channel, the drift channel, and the tail channel interact during starts, pauses, and reversals. Use the alerts as a risk switch inside your own process or let the built in entries and exits run if you prefer an automated study. The intent is not to promise outcomes. The intent is to give you a robust meter for regime strength that travels well across markets and helps you structure decisions with more confidence. Thank you for your time to read all of this
Strategia Pine Script®
od exlux
Larry Williams Bonus Track PatternThis strategy trades the day immediately following an Inside Day, under specific directional and timing conditions. It is designed for daily-based setups but executed on intraday charts to ensure orders are placed exactly at the open of the following day, rather than at the daily bar close. Entry Conditions Only trades on Monday, Thursday, or Friday. The previous day must be an Inside Day (its high is lower than the prior high and its low is higher than the prior low). The bar before the Inside Day must be bullish (close > open). On the following day (t): The daily open must be below both the Inside Day’s high and the highest high of the two days before that. A buy stop is placed at the highest high of the three previous days (Inside Day and the two days before it). If the new day’s open is already above that level (gap up), the strategy enters long immediately at the open. Exit Rules Stop Loss: Fixed, defined in points or percentage (user input). FPO (First Profitable Open): the position is closed at the first daily open after the entry day where the open price is above the average entry price (the first profitable open). Notes The script must be applied on an intraday timeframe (e.g., 15-minute or 1-hour) so that the strategy can: Detect the Inside Day pattern using daily data (request.security). Execute orders in real time at the next day’s open. Running it directly on the daily timeframe will delay executions by one bar due to Pine Script’s evaluation model.
Strategia Pine Script®
od xtradernet
Camarilla Pivots + 20 EMA StrategyThis is an intraday volatility and trend-following system for commodities like Natural Gas, combining dynamic pivot levels (Camarilla) with a trend filter (20-period EMA) to improve risk-reward and reduce false breakouts. Core Components 1. Camarilla Pivots: These are special support and resistance levels (H3, H4, L3, L4) calculated each day based on the previous day's high, low, and close. The pivots adapt to daily volatility, giving more relevant breakout and bounce zones than static lines. H4: Aggressive resistance (used for breakout LONG entry) H3: Moderate resistance/support (used for bounce or stoploss) L4: Aggressive support (used for breakout SHORT entry) L3: Moderate support/resistance (used for bounce or stoploss) 2. 20 EMA (Exponential Moving Average): Plotted on the 30-minute chart, this acts as a trend filter. If the price is above 20 EMA: Only look for long trades (bullish bias). If below 20 EMA: Only look for short trades (bearish bias). How the Strategy Works Setup (30-Min Chart): Camarilla pivots for the day are drawn on the chart. 20 EMA is also plotted. Trade Filter: Bullish: Trade ONLY if price is above 20 EMA. Bearish: Trade ONLY if price is below 20 EMA. Entry: LONG: Enter when price breaks and closes above the H4 pivot AND is above 20 EMA. SHORT: Enter when price breaks and closes below the L4 pivot AND is below 20 EMA. Stop Loss: LONG: Place stoploss at H3 (the next lower Camarilla resistance). SHORT: Place stoploss at L3 (the next higher Camarilla support). Target: Always set a profit target at 2x the distance (risk) between entry and stoploss (strict R:R 2). For example, if your entry is at H4 and stoploss at H3, your target is entry + 2*(entry - stoploss). Alerts & Visuals: The strategy plots entry arrows, stoploss and target lines for immediate visual reference. Alerts trigger on breakout signals so you never miss a trade. Why This Works Well for Natural Gas Adapts to volatility: The pivots change daily, handling wide-ranging and choppy price moves better than fixed breakouts. Trend filter: EMA prevents counter-trend whipsaws, only trades with market momentum. Risk control: Every trade must meet strict risk-reward criteria, so losses are contained and winners can outweigh losers.
Strategia Pine Script®
od vinaygaur97