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MASU+ Institutional: The Ultimate Trading Ecosystem)Stop Trading Retail. Start Trading Institutional. Welcome to MASU+ Institutional, a comprehensive algorithmic trading framework designed to emulate the logic of hedge funds and institutional market makers. This is not just a "buy/sell" indicator; it is a complete decision-making engine that combines Smart Money Concepts (SMC), Order Flow, and Multi-Timeframe Analysis into a single, automated strategy. The script is built to filter out market noise and trade only when high-probability conditions align across structure, volume, and momentum. Key Features 1. Smart Money Intelligence (SMC) Order Blocks & FVG: Automatically identifies institutional footprints. Liquidity Sweeps: Detects stop-hunts and manipulation points. Break of Structure (BOS): Confirms trend continuations with precision. Demand & Supply Zones: Dynamic plotting of buying and selling pressure zones with mitigation logic. 2. Advanced Order Flow CVD (Cumulative Volume Delta): Analyses buying vs. selling pressure. VWAP Bands: Trades based on institutional value areas. Volume Profile POC: Pinpoints the Point of Control for the current session. 3. Adaptive Risk Management Kelly Criterion Sizing: Dynamically adjusts position size based on win-rate probability. Volatility-Based Stops: SL and TP are calculated using ATR to adapt to market conditions. Auto-Trailing: Locks in profits as the trade moves in your favor. 4. Professional Dashboard A compact, real-time table displaying: MTF Trends: Status of 15m, 1H, and 4H trends. Confluence Score: A rating (1-5) of the signal strength. Market Regime: Identifies if the market is Trending, Ranging, or Volatile. Risk/Reward: Live R:R calculation for the current setup. How It Works The strategy uses a "Waterfall Logic" to enter trades: Macro Filter: Checks the correlation with major indices (SPX, NDX) to ensure we are trading with the global market. Trend Alignment: Confirms direction using Multi-Timeframe EMAs. Volume Confirmation: Requires a spike in volume and positive Order Flow (CVD). SMC Trigger: Enters on Liquidity Sweeps, FVG fills, or Order Block retests. Time Filter: Operates only during high-volume sessions (London/NY) to avoid consolidation chop. Best Practices Timeframe: Optimized for 15m and 1H. Assets: Works best on Indices (US30, NAS100, DAX), Crypto (BTC, ETH), and Major Forex Pairs. Settings: The default settings are tuned for a balance of frequency and accuracy. Use the "Time Filter" to avoid low-volatility sessions. Disclaimer: This strategy is a tool for analysis and automated execution logic. Past performance does not guarantee future results. Always backtest on your specific asset and broker before deploying real capital. 👇 Drop a BOOST if you want more Institutional Tools! 🚀
Stratégie Pine Script®
par Mark_Novak
16
HA EMA50 Trend Filter No Chop Daily Trade LimitsThis strategy trades strong directional moves using Heikin-Ashi candle confirmation and a 50-period EMA trend filter, while aggressively avoiding consolidation. Entries occur only after two consecutive Heikin-Ashi candles close in the same direction with price on the correct side of the EMA, and are further filtered using ATR-normalized volatility, range, EMA slope, and EMA cross-chop conditions to ensure the market is actively trending. Trades are executed at the open of the next candle, managed with structure-based or fixed stop losses, an optional break-even rule, and exited on Heikin-Ashi color reversal or protective stops. To protect capital and reduce overtrading, the strategy enforces strict daily limits, allowing a maximum of five trades per symbol and automatically stopping trading after two losing trades in a single day. Designed for forex markets during active sessions, this system prioritizes clean trends and capital preservation over frequent entries.
Stratégie Pine Script®
par rshray92
Visual Pro Trend Master by Herman Sangivera ( Papua )Visual pro Trend Mater by Herman Sangivera ( Papuan Trader ) Overview Visual Pro Trend Master is a high-precision quantitative trading strategy specifically engineered for scalpers operating on lower timeframes (1m, 3m, 5m). The strategy focuses on execution efficiency with a fixed 1:2 Risk-to-Reward (RR) Ratio, powered by a multi-layered filtration system designed to eliminate "whipsaws" and fake signals commonly found in sideways markets. By integrating institutional volume confirmation (VWAP), trend momentum (ADX Slope), and dynamic volatility sensing (Bollinger Band Squeeze), this script ensures that entries are only triggered when the market exhibits high-probability directional intent. Key Technical Features Anti-Sideways Engine: Utilizes Bollinger Band Width to calculate market compression. The strategy automatically enters "standby mode" during a Squeeze, filtering out low-volatility traps. Trend Acceleration Filter: Not only does it check for ADX strength, but it specifically looks for a rising ADX slope. This ensures you enter as momentum is building, not when it is exhausting. Institutional Alignment (VWAP): Acts as the ultimate trend arbiter. The strategy restricts Long positions to prices above VWAP and Short positions to prices below VWAP. Dynamic Risk Management (1:2 RR): Stop Loss (SL) is mathematically determined by the Average True Range (ATR) to account for current market noise. The Take Profit (TP) is automatically set at 2x the risk distance. Professional UI Dashboard: A real-time heads-up display (HUD) in the corner of your chart showing Trend Status, ADX Power, and active Risk Ratios. Visual Interpretation Trend Ribbon (Green/Red): Displays the primary trend zone between EMAs. A gray ribbon indicates a transition or a non-trending phase. Candle Color Coding: Real-time bar coloring provides instant psychological confirmation of trend strength. Gray Background Shading: Indicates a Bollinger Squeeze. This is a "No-Trade Zone" where fakeouts are most likely to occur. Fuchsia Line (VWAP): The "Line in the Sand" for institutional sentiment. Execution Guide Best Timeframes: 1-Minute, 3-Minute, or 5-Minute. Recommended Assets: High-liquidity pairs such as Gold (XAUUSD), Major Forex (EURUSD, GBPUSD), and Top-tier Crypto (BTCUSDT, ETHUSDT). Optimization Tips: * Optimal performance is usually seen during the London and New York session overlaps. Monitor the Dashboard: If ADX Power is below 25, the market lacks the "fuel" needed to hit a 1:2 TP. Disclaimer While this strategy includes advanced risk management and volatility filters, past performance does not guarantee future results. It is highly recommended to paper-trade this strategy first to understand its behavior during high-impact news events.
Stratégie Pine Script®
par hermanwomsiwor
Scalping Reaper Elite- by Herman Sangivera ( Papua ) Scalping Reaper Elite by Herman Sangivera ( Papuan Trader ) Overview Scalping Reaper Elite V5 is a high-precision quantitative trading strategy specifically engineered for scalpers operating on lower timeframes (1m, 3m, 5m). The strategy focuses on execution efficiency with a fixed 1:2 Risk-to-Reward (RR) Ratio, powered by a multi-layered filtration system designed to eliminate "whipsaws" and fake signals commonly found in sideways markets. By integrating institutional volume confirmation (VWAP), trend momentum (ADX Slope), and dynamic volatility sensing (Bollinger Band Squeeze), this script ensures that entries are only triggered when the market exhibits high-probability directional intent. Key Technical Features Anti-Sideways Engine: Utilizes Bollinger Band Width to calculate market compression. The strategy automatically enters "standby mode" during a Squeeze, filtering out low-volatility traps. Trend Acceleration Filter: Not only does it check for ADX strength, but it specifically looks for a rising ADX slope. This ensures you enter as momentum is building, not when it is exhausting. Institutional Alignment (VWAP): Acts as the ultimate trend arbiter. The strategy restricts Long positions to prices above VWAP and Short positions to prices below VWAP. Dynamic Risk Management (1:2 RR): Stop Loss (SL) is mathematically determined by the Average True Range (ATR) to account for current market noise. The Take Profit (TP) is automatically set at 2x the risk distance. Professional UI Dashboard: A real-time heads-up display (HUD) in the corner of your chart showing Trend Status, ADX Power, and active Risk Ratios. Visual Interpretation Trend Ribbon (Green/Red): Displays the primary trend zone between EMAs. A gray ribbon indicates a transition or a non-trending phase. Candle Color Coding: Real-time bar coloring provides instant psychological confirmation of trend strength. Gray Background Shading: Indicates a Bollinger Squeeze. This is a "No-Trade Zone" where fakeouts are most likely to occur. Fuchsia Line (VWAP): The "Line in the Sand" for institutional sentiment. Execution Guide Best Timeframes: 1-Minute, 3-Minute, or 5-Minute. Recommended Assets: High-liquidity pairs such as Gold (XAUUSD), Major Forex (EURUSD, GBPUSD), and Top-tier Crypto (BTCUSDT, ETHUSDT). Optimization Tips: * Optimal performance is usually seen during the London and New York session overlaps. Monitor the Dashboard: If ADX Power is below 25, the market lacks the "fuel" needed to hit a 1:2 TP. Disclaimer While this strategy includes advanced risk management and volatility filters, past performance does not guarantee future results. It is highly recommended to paper-trade this strategy first to understand its behavior during high-impact news events.
Stratégie Pine Script®
par hermanwomsiwor
yaman short longThis indicator provides clear Long and Short signals to help traders identify potential market direction and trading opportunities with higher confidence. It is designed to follow price momentum and trend strength, allowing traders to enter trades when the market shows clear directional bias. The indicator focuses on clean signals and avoids unnecessary noise, making it suitable for both beginners and experienced traders. Key Features: Clear Long and Short signals displayed on the chart Helps identify potential trend continuation and reversals Designed to reduce false signals during choppy market conditions Suitable for scalping, intraday, and swing trading Works across multiple markets and timeframes How to Use: Long Signal: Indicates potential upward movement when bullish conditions align Short Signal: Indicates potential downward movement when bearish conditions align Best used with proper stop-loss and risk management rules Can be combined with support/resistance or higher timeframe confirmation Best Markets: Forex pairs Gold (XAUUSD) Cryptocurrencies Indices Notes: Signals are generated after candle close The indicator does not repaint This tool is meant to assist decision-making, not guarantee profits
Stratégie Pine Script®
par yamanrawashdeh3
Elliott Wave Full Fractal System v2.0Elliott Wave Full Fractal System v2.0 – Q.C. FINAL (Guaranteed R/R) Elliott Wave Full Fractal System is a multi-timeframe wave engine that automatically labels Elliott impulses and ABC corrections, then builds a rule-based, ATR-driven risk/reward framework around the “W3–W4–W5” leg. “Guaranteed R/R” here means every order is placed with a predefined stop-loss and take-profit that respect a minimum Reward:Risk ratio – it does not mean guaranteed profits. Core Idea This strategy turns a full fractal Elliott Wave labelling engine into a systematic trading model. It scans fractal pivots on three wave degrees (Primary, Intermediate, Minor) to detect 5-wave impulses and ABC corrections. A separate “Trading Degree” pivot stream, filtered by a 200-EMA trend filter and ATR-based dynamic pivots, is then used to find W4 pullback entries with a minimum, user-defined Reward:Risk ratio. Default Properties & Risk Assumptions The backtest uses realistic but conservative defaults: // Default properties used for backtesting strategy( "Elliott Wave Full Fractal System - Q.C. FINAL (Guaranteed R/R)", overlay = true, initial_capital = 10000, // realistic account size default_qty_type = strategy.percent_of_equity, default_qty_value = 1, // 1% risk per trade commission_type = strategy.commission.cash_per_contract, commission_value = 0.005, // example stock commission slippage = 0 // see notes below ) Account size: 10,000 (can be changed to match your own account). Position sizing: 1% of equity per trade to keep risk per idea sustainable and aligned with TradingView’s recommendations. Commission: 0.005 cash per contract/share as a realistic example for stock trading. Slippage: set to 0 in code for clarity of “pure logic” backtesting. Real-life trading will experience slippage, so users should adjust this according to their market and broker. Always re-run the backtest after changing any of these values, and avoid using high risk fractions (5–10%+) as that is rarely sustainable. 1. Full Fractal Wave Engine The script builds and maintains four pivot streams using ATR-adaptive fractals: Primary Degree (Macro Trend): Captures the large swings that define the major trend. Labels ①–⑤ and ⒶⒷⒸ using blue “Circle” labels and thicker lines. Intermediate Degree (Trading Degree): Captures the medium swings (swing-trading horizon). Uses teal labels ( (1)…(5), (A)(B)(C) ). Minor Degree (Micro Structure): Tracks short-term swings inside the larger waves. Uses red roman numerals (i…v, a b c). ABC Corrections (Optional): When enabled, the engine tries to detect standard A–B–C corrective structures that follow a completed 5-wave impulse and plots them with dashed lines. Each degree uses a dynamic pivot lookback that expands when ATR is above its EMA, so the system naturally requires “stronger” pivots in volatile environments and reacts faster in quiet conditions. 2. Theory Rules & Strict Mode Normal Mode: More permissive detection. Designed to show more wave structures for educational / exploratory use. Strict Mode: Enforces key Elliott constraints: Wave 3 not shorter than waves 1 and 5. No invalid W4 overlap with W1 (for standard impulses). ABC Logic: After a confirmed bullish impulse, the script expects a down-up-down corrective pattern (A,B,C). After a bearish impulse, it looks for up-down-up. 3. Trend Filter & Pivots EMA Trend Filter: A configurable EMA (default 200) is used as a non-wave trend filter. Price above EMA → Only long setups are considered. Price below EMA → Only short setups are considered. ATR-Adaptive Pivots: The pivot engine scales its left/right bars based on current ATR vs ATR EMA, making waves and trading pivots more robust in volatile regimes. 4. Dynamic Risk Management (Guaranteed R/R Engine) The trading engine is designed around risk, not just pattern recognition: ATR-Based Stop: Stop-loss is placed at: Entry ± ATR × Multiplier (user-configurable, default 2.0). This anchors risk to current volatility. Minimum Reward:Risk Ratio: For each setup, the script: Computes the distance from entry to stop (risk). Projects a take-profit target at risk × min_rr_ratio away from entry. Only accepts the setup if risk is positive and the required R:R ratio is achievable. Result: Every order is created with both TP and SL at a predefined distance, so each trade starts with a known, minimum Reward:Risk profile by design. “Guaranteed R/R” refers exclusively to this order placement logic (TP/SL geometry), not to win-rate or profitability. 5. Trading Logic – W3–W4–W5 Pattern The Trading pivot stream (separate from visual wave degrees) looks for a simple but powerful pattern: Bullish structure: Sequence of pivots forms a higher-high / higher-low pattern. Price is above the EMA trend filter. A strong “W3” leg is confirmed with structure rules (optionally stricter in Strict mode). Entry (Long – W4 Pullback): The “height” of W3 is measured. Entry is placed at a configurable Fibonacci pullback (default 50%) inside that leg. ATR-based stop is placed below entry. Take-profit is projected to satisfy min Reward:Risk. Bearish structure: Mirrored logic (lower highs/lows, price below EMA, W3 down, W4 retrace up, W5 continuation down). Once a valid setup is found, the script draws a colored box around the entry zone and a label describing the type of signal (“LONG SETUP” or “SHORT SETUP”) with the suggested limit price. 6. Orders & Execution Entry Orders: The strategy uses limit orders at the computed W4 level (“Sniper Long” or “Sniper Short”). Exits: A single strategy.exit() is attached to each entry with: Take-profit at the projected minimum R:R target. Stop-loss at ATR-based level. One Trade at a Time: New setups are only used when there is no open position (strategy.opentrades == 0) to keep the logic clear and risk contained. 7. Visual Guide on the Chart Wave Labels: Primary: ①,②,③,④,⑤, ⒶⒷⒸ Intermediate: (1)…(5), (A)(B)(C) Minor: i…v, a b c Trend EMA: Single blue EMA showing the dominant trend. Setup Boxes: Green transparent box → long entry zone. Red transparent box → short entry zone. Labels: “LONG SETUP / SHORT SETUP” labels mark the proposed limit entry with price. 8. How to Use This Strategy Attach the strategy to your chart Choose your market (stocks, indices, FX, crypto, futures, etc.) and timeframe (for example 1h, 4h, or Daily). Then add the strategy to the chart from your Scripts list. Start with the default settings Leave all inputs on their defaults first. This lets you see the “intended” behaviour and the exact properties used for the published backtest (account size, 1% risk, commission, etc.). Study the wave map Zoom in and out and look at the three wave degrees: Blue circles → Primary degree (big picture trend). Teal (1)…(5) → Intermediate degree (swing structure). Red i…v → Minor degree (micro waves). Use this to understand how the engine is interpreting the Elliott structure on your symbol. Watch for valid setups Look for the coloured boxes and labels: Green box + “LONG SETUP” label → potential W4 pullback long in an uptrend. Red box + “SHORT SETUP” label → potential W4 pullback short in a downtrend. Only trades in the direction of the EMA trend filter are allowed by the strategy. Check the Reward:Risk of each idea For each setup, inspect: Limit entry price. ATR-based stop level. Projected take-profit level. Make sure the minimum Reward:Risk ratio matches your own rules before you consider trading it. Backtest and evaluate Open the Strategy Tester: Verify you have a decent sample size (ideally 100+ trades). Check drawdowns, average trade, win-rate and R:R distribution. Change markets and timeframes to see where the logic behaves best. Adapt to your own risk profile If you plan to use it live: Set Initial Capital to your real account size. Adjust default_qty_value to a risk level you are comfortable with (often 0.5–2% per trade). Set commission and slippage to realistic broker values. Re-run the backtest after every major change. Use as a framework, not a signal machine Treat this as a structured Elliott/R:R framework: Filter signals by higher-timeframe trend, major S/R, volume, or fundamentals. Optionally hide some wave degrees or ABC labels if you want a cleaner chart. Combine the system’s structure with your own trade management and discretion. Best Practices & Limitations This is an approximate Elliott Wave engine based on fractal pivots. It does not replace a full discretionary Elliott analysis. All wave counts are algorithmic and can differ from a manual analyst’s interpretation. Like any backtest, results depend heavily on: Symbol and timeframe. Sample size (more trades are better). Realistic commission/slippage settings. The 0-slippage default is chosen only to show the “raw logic”. In real markets, slippage can significantly impact performance. No strategy wins all the time. Losing streaks and drawdowns will still occur even with a strict R:R framework. Disclaimer This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance, whether real or simulated, is not indicative of future results. Always test on multiple symbols/timeframes, use conservative risk, and consult your financial advisor before trading live capital.
Stratégie Pine Script®
par mbedaiwi2
ChronoPulse MS-MACD Resonance StrategyChronoPulse MS-MACD Resonance Strategy A systematic trading strategy that combines higher-timeframe market structure analysis with dual MACD momentum confirmation, ATR-based risk management, and real-time quality assurance monitoring. Core Principles The strategy operates on the principle of multi-timeframe confluence, requiring agreement between: Market structure breaks (CHOCH/BOS) on a higher timeframe Dual MACD momentum confirmation (classic and crypto-tuned profiles) Trend alignment via directional EMAs Volatility and volume filters Quality score composite threshold Strategy Components Market Structure Engine : Detects Break of Structure (BOS) and Change of Character (CHOCH) events using confirmed pivots on a configurable higher timeframe. Default structure timeframe is 240 minutes (4H). Dual MACD Fusion : Requires agreement between two MACD configurations: Classic MACD: 12/26/9 (default) Fusion MACD: 8/21/5 (default, optimized for crypto volatility) Both must agree on direction before trade execution. This can be disabled to use single MACD confirmation. Trend Alignment : Uses two EMAs for directional bias: Directional EMA: 55 periods (default) Execution Trend Guide: 34 periods (default) Both must align with trade direction. ATR Risk Management : All risk parameters are expressed in ATR multiples: Stop Loss: 1.5 × ATR (default) Take Profit: 3.0 × ATR (default) Trail Activation: 1.0 × ATR profit required (default) Trail Distance: 1.5 × ATR behind price (default) Volume Surge Filter : Optional gate requiring current volume to exceed a multiple of the volume SMA. Default threshold is 1.4× the 20-period volume SMA. Quality Score Gate : Composite score (0-1) combining: Structure alignment (0.0-1.0) Momentum strength (0.0-1.0) Trend alignment (0.0-1.0) ATR volatility score (0.0-1.0) Volume intensity (0.0-1.0) Default threshold: 0.62. Trades only execute when quality score exceeds this threshold. Execution Discipline : Trade budgeting system: Maximum trades per session: 6 (default) Cooldown bars between entries: 5 (default) Quality Assurance Console : Real-time monitoring panel displaying: Structure status (pass/fail) Momentum confirmation (pass/fail) Volatility readiness (pass/fail) Quality score (pass/fail) Discipline compliance (pass/fail) Performance metrics (win rate, profit factor) Net PnL Certification requires: Win Rate ≥ 40%, Profit Factor ≥ 1.4, Minimum 25 closed trades, and positive net profit. Integrity Suite : Optional validation panel that audits: Configuration sanity checks ATR data readiness EMA hierarchy validity Performance realism checks Strategy Settings strategy( title="ChronoPulse MS-MACD Resonance Strategy", shorttitle="ChronPulse", overlay=true, max_labels_count=500, max_lines_count=500, initial_capital=100000, currency=currency.USD, pyramiding=0, commission_type=strategy.commission.percent, commission_value=0.015, slippage=2, default_qty_type=strategy.percent_of_equity, default_qty_value=2.0, calc_on_order_fills=true, calc_on_every_tick=true, process_orders_on_close=true ) Key Input Parameters Structure Timeframe : 240 (4H) - Higher timeframe for structure analysis Structure Pivot Left/Right : 3/3 - Pivot confirmation periods Structure Break Buffer : 0.15% - Buffer for structure break confirmation MACD Fast/Slow/Signal : 12/26/9 - Classic MACD parameters Fusion MACD Fast/Slow/Signal : 8/21/5 - Crypto-tuned MACD parameters Directional EMA Length : 55 - Primary trend filter Execution Trend Guide : 34 - Secondary trend filter ATR Length : 14 - ATR calculation period ATR Stop Multiplier : 1.5 - Stop loss in ATR units ATR Target Multiplier : 3.0 - Take profit in ATR units Trail Activation : 1.0 ATR - Profit required before trailing Trail Distance : 1.5 ATR - Distance behind price Volume Threshold : 1.4× - Volume surge multiplier Quality Threshold : 0.62 - Minimum quality score (0-1) Max Trades Per Session : 6 - Daily trade limit Cooldown Bars : 5 - Bars between entries Win-Rate Target : 40% - Minimum for QA certification Profit Factor Target : 1.4 - Minimum for QA certification Minimum Trades for QA : 25 - Required closed trades Signal Generation Logic A trade signal is generated when ALL of the following conditions are met: Higher timeframe structure shows bullish (CHOCH/BOS) or bearish structure break Both MACD profiles agree on direction (if fusion enabled) Price is above both EMAs for longs (below for shorts) ATR data is ready and above minimum threshold Volume exceeds threshold × SMA (if volume gate enabled) Quality score ≥ quality threshold Trade budget available (under max trades per day) Cooldown period satisfied Risk Management Stop loss and take profit are set immediately on entry Trailing stop activates after 1.0 ATR of profit Trailing stop maintains 1.5 ATR distance behind highest profit point Position sizing uses 2% of equity per trade (default) No pyramiding (single position per direction) Limitations and Considerations The strategy requires sufficient historical data for higher timeframe structure analysis Quality gate may filter out many potential trades, reducing trade frequency Performance metrics are based on historical backtesting and do not guarantee future results Commission and slippage assumptions (0.015% + 2 ticks) may vary by broker The strategy is optimized for trending markets with clear structure breaks Choppy or ranging markets may produce false signals Crypto markets may require different parameter tuning than traditional assets Optimization Notes The strategy includes several parameters that can be tuned for different market conditions: Quality Threshold : Lower values (0.50-0.60) allow more trades but may reduce average quality. Higher values (0.70+) are more selective but may miss opportunities. Structure Timeframe : Use 240 (4H) for intraday trading, Daily for swing trading, Weekly for position trading Volume Gate : Disable for low-liquidity pairs or when volume data is unreliable Dual MACD Fusion : Disable for mean-reverting markets where single MACD may be more responsive Trade Discipline : Adjust max trades and cooldown based on your risk tolerance and market volatility Non-Repainting Guarantee All higher timeframe data requests use lookahead=barmerge.lookahead_off to prevent repainting. Pivot detection waits for full confirmation before registering structure breaks. All visual elements (tables, labels) update only on closed bars. Alerts Three alert conditions are available: ChronoPulse Long Setup : Fires when all long entry conditions are met ChronoPulse Short Setup : Fires when all short entry conditions are met ChronoPulse QA Certification : Fires when Quality Assurance console reaches CERTIFIED status Configure alerts with "Once Per Bar Close" delivery to match the non-repainting design. Visual Elements Structure Labels : CHOCH↑, CHOCH↓, BOS↑, BOS↓ markers on structure breaks Directional EMA : Orange line showing trend bias Trailing Stop Lines : Green (long) and red (short) trailing stop levels Dashboard Panel : Real-time status display (structure, MACD, ATR, quality, PnL) QA Console : Quality assurance monitoring panel Integrity Suite Panel : Optional validation status display Recommended Usage Forward test with paper trading before live deployment Monitor the QA console until it reaches CERTIFIED status Adjust parameters based on your specific market and timeframe Respect the trade discipline limits to avoid over-trading Review quality scores and adjust threshold if needed Use appropriate commission and slippage settings for your broker Technical Implementation The strategy uses Pine Script v6 with the following key features: Multi-timeframe data requests with lookahead protection Confirmed pivot detection for structure analysis Dynamic trailing stop management Real-time quality score calculation Trade budgeting and cooldown enforcement Comprehensive dashboard and monitoring panels All source code is open and available for review and modification. Disclaimer This script is for educational and informational purposes only. It is not intended as financial, investment, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any losses incurred from using this strategy.
Stratégie Pine Script®
par officialjackofalltrades
ATR ZigZag BreakoutATR ZigZag Breakout This strategy uses my ATR ZigZag indicator (powered by the ZigZagCore library) to scalp breakouts at volatility-filtered highs and lows. Everyone knows stops cluster around clear swing highs and lows. Breakout traders often pile in there, too. These levels are predictable areas where aggressive orders hit the tape. The idea here is simple: → Let ATR ZigZag define clean, volatility-filtered pivots → Arm a stop market order at those pivots → Join the breakout when the crowd hits the level The key to greater success in this simple strategy lies in the ZigZag. Because the pivots are filtered by ATR instead of fixed bar counts or fractals, the levels tend to be more meaningful and less noisy. This approach is especially suited for intraday trading on volatile instruments (e.g., NQ, GC, liquid crypto pairs). How It Works 1. Pivot detection The ATR ZigZag uses an ATR-based threshold to confirm swing highs and lows. Only when price has moved far enough in the opposite direction does a pivot become “official.” 2. Candidate breakout level When a new swing direction is detected and the most recent high/low has not yet been broken in the current leg, the strategy arms a stop market order at that pivot. • Long candidate → most recent swing high • Short candidate → most recent swing low These “candidate trades” are shown as dotted lines. 3. Entry, SL, and TP If price breaks through the level, the stop order is filled and a bracket is placed: • Stop loss = ATR × SL multiplier • Take profit = SL distance × RR multiplier Once a level has traded, it is not reused in the same swing leg. 4. Cancel & rotate If the market reverses and forms a new swing in the opposite direction before the level is hit, the pending order is cancelled and a new candidate is considered in the new direction. Additional Features • Optional session filter for backtesting specific trading hours
Stratégie Pine Script®
par ReflexSignals
1
Retracement Strategy [OmegaTools]Retracement Strategy is a systematic trend–retracement framework designed to identify directional opportunities after a confirmed momentum shift, and to manage exits using either trend reversals or overextension conditions. It is built around a smoothed RSI regime filter and a simple, price-based retracement trigger, making it applicable across a wide range of markets and timeframes while remaining transparent and easy to interpret. The strategy begins by defining the underlying trend through a two-stage RSI signal. A standard RSI is computed over the user-defined Length input, then smoothed with a short moving average to reduce noise. Two symmetric thresholds are derived from the Threshold parameter: an upper band at 100 minus the threshold and a lower band at the threshold itself. When the smoothed RSI crosses above the upper band, the environment is classified as bullish and the internal trend state is set to uptrend. When the smoothed RSI crosses below the lower band, the environment is classified as bearish and the trend state becomes downtrend. When RSI moves back into the central zone between the two bands, the trend is considered neutral. In addition to the current trend, the strategy tracks the last non-neutral trend direction, which is used to detect genuine trend changes rather than transient oscillations. Once a trend is established, the strategy looks for retracement entries in the direction of that trend. For long setups in an uptrend, it computes the lowest low over the previous Length minus one bars, excluding the current bar. A long signal is generated when price dips below this recent low while the trend state remains bullish. Symmetrically, for short setups in a downtrend, it computes the highest high over the previous Length minus one bars and enters short when price spikes above this recent high while the trend state remains bearish. This logic is designed to capture pullbacks against the prevailing RSI-defined trend, entering when the market tests or slightly violates recent extremes, rather than chasing breakouts. The candles are visually coloured to reflect the detected trend, highlighting bullish and bearish environments while keeping neutral phases distinguishable on the chart. An ATR-based measure is used solely to position the “UP” and “DN” labels on the chart for clearer visualisation of entry points; it does not directly influence position sizing or stop calculation in this implementation. Take profit and stop loss behaviour are fully parameterized through the “Take Profit” and “Stop Loss” inputs, each offering three modes: None, Trend Change and Extension. When “Trend Change” is selected for the take profit, the strategy will only exit profitable positions when a confirmed trend reversal occurs. For a long position, this means that the strategy will close the trade when the trend state flips from uptrend to downtrend, and the last recorded trend direction validates that this is a genuine reversal rather than a neutral fluctuation; the same logic applies symmetrically for short positions. When “Extension” is selected as the take profit mode, the strategy closes profitable long trades when the smoothed RSI reaches or exceeds the upper threshold, interpreted as an overbought extension within the bullish regime, and closes profitable short trades when the smoothed RSI falls to or below the lower threshold, interpreted as an oversold extension within the bearish regime. When “None” is chosen, the strategy does not apply any explicit take profit logic, leaving trades to be managed by the stop loss settings or by user discretion in backtesting. The stop loss parameter works in a parallel way. With “Trend Change” selected as stop loss, any open long position is closed when the trend flips from uptrend to downtrend, regardless of whether the trade is currently in profit or loss, and any open short is closed when the trend flips from downtrend to uptrend. This turns the RSI trend regime into a hard invalidation rule: once the underlying momentum structure reverses, the position is exited. With “Extension” selected for stop loss, long positions are closed when RSI falls back below the upper band and moves towards the opposite side of the range, while short positions are closed when RSI rises above the lower band and moves towards the upper side. In practice, this acts as a dynamic exit based on the oscillator moving out of a favourable context for the existing trade. Selecting “None” for stop loss disables these automatic exits, leaving only the take profit logic, if any, to manage the position. Because take profit and stop loss configuration are independent, the user can construct different profiles, such as pure trend-change exits on both sides, pure overextension exits, or a mix (for example, take profit on overextension and stop loss on trend reversal). This strategy is designed as an analytical and backtesting framework rather than a finished plug-and-play trading system. It does not include position sizing, risk-per-trade controls, multi-timeframe confirmation, volatility filters or instrument-specific fine-tuning. Its primary purpose is to provide a clear, rule-based structure for testing retracement logic within RSI-defined trends, and to allow users to explore how different exit regimes (trend-change based versus extension based) affect performance on their instruments and timeframes of interest. Nothing in this script or its description should be interpreted as financial advice, investment recommendation or solicitation to buy or sell any financial instrument. Past performance on backtests does not guarantee future results. The behaviour of this strategy can vary significantly across symbols, timeframes and market conditions, and correlations, volatility and liquidity can change without warning. Before considering any live application, users should thoroughly backtest and forward test the strategy on their own data, adjust parameters to their risk profile and instrument characteristics, and integrate proper money management and trade management rules. Use of this script is entirely at the user’s own risk.
Stratégie Pine Script®
par OmegaTools
Mirror Blocks: StrategyMirror Blocks is an educational structural-wave model built around a unique concept: the interaction of mirrored weighted moving averages (“blocks”) that reflect shifts in market structure as price transitions between layered symmetry zones. Rather than attempting to “predict” markets, the Mirror Blocks framework visualizes how price behaves when it expands away from, contracts toward, or flips across stacked WMA structures. These mirrored layers form a wave-like block system that highlights transitional zones in a clean, mechanical way. This strategy version allows you to study how these structural transitions behave in different environments and on different timeframes. The goal is understanding wave structure, not generating signals. How It Works Mirror Blocks builds three mirrored layers: Top Block (Structural High Symmetry) Base Block (Neutral Wave) Bottom Block (Structural Low Symmetry) The relative position of these blocks — and how price interacts with them — helps visualize: Compression and expansion Reversal zones Wave stability Momentum transitions Structure flips A structure is considered bullish-stack aligned when: Top > Base > Bottom and bearish-stack aligned when: Bottom > Base > Top These formations create the core of the Mirror Blocks wave engine. What the Strategy Version Adds This version includes: Long Only, Short Only, or Long & Short modes Adjustable symmetry distance (Mirror Distance) Configurable WMA smoothing length Optional trend filter using fast/slow MA comparison ENTER / EXIT / LONG / SHORT labels for structural transitions Fixed stop-loss controls for research A clean, transparent structure with no hidden components It is optimized for educational chart study, not automated signals. Intended Purpose Mirror Blocks is meant to help traders: Study structural transitions Understand symmetry-based wave models Explore how price interacts with mirrored layers Examine reversals and expansions from a mechanical perspective Conduct long and short backtesting for research Develop a deeper sense of market rhythm This is not a prediction model. It is a visual and structural framework for understanding movement. Backtesting Disclaimer Backtest results can vary depending on: Slippage settings Commission settings Timeframe Asset volatility Structural sensitivity parameters Past performance does not guarantee future results. Use this as a research tool only. Warnings & Compliance This script is educational. It is not financial advice. It does not provide signals. It does not promise profitability. The purpose is to help visualize structure, not predict price. The strategy features are simply here to help users study how structural transitions behave under various conditions. License Released under the Michael Culpepper Gratitude License (2025). Use and modify freely for education and research with attribution. No resale. No promises of profitability. Purpose is understanding, not signals.
Stratégie Pine Script®
par mikeyc747
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts. Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern. The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it. 🔵 Identifying the QM Pattern 🟣 Bullish QM In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement. 🟣 Bearish QM The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes. 🔵 How to Use The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases. 🟣 Bullish Quasimodo A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low. This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy. 🟣 Bearish Quasimodo A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped. Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps. 🔵 Setting Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5. Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter. Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter. Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point. Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980. Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15. 🔵 Results The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image. ⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences. Default Properties of Backtests : OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year : BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year : CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year : NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year : OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year : PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
Stratégie Pine Script®
par TFlab
18
RastaRasta — Educational Strategy (Pine v5) Momentum · Smoothing · Trend Study Overview The Rasta Strategy is a visual and educational framework designed to help traders study momentum transitions using the interaction between a fast-reacting EMA line and a slower smoothed reference line. It is not a signal generator or profit system; it’s a learning tool for understanding how smoothing, crossovers, and filters interact under different market conditions. The script displays: A primary EMA line (the fast reactive wave). A Smoothed line (using your chosen smoothing method). Optional fog zones between them for quick visual context. Optional DNA rungs connecting both lines to illustrate volatility compression and expansion. Optional EMA 8 / EMA 21 trend filter to observe higher-time-frame alignment. Core Idea The Rasta model focuses on wave interaction. When the fast EMA crosses above the smoothed line, it reflects a shift in short-term momentum relative to background trend pressure. Cross-unders suggest weakening or reversal. Rather than treating this as a trading “signal,” use it to observe structure, study trend alignment, and test how smoothing type affects reaction speed. Smoothing Types Explained The script lets you experiment with multiple smoothing techniques: Type Description Use Case SMA (Simple Moving Average) Arithmetic mean of the last n values. Smooth and steady, but slower. Trend-following studies; filters noise on higher time frames. EMA (Exponential Moving Average) Weights recent data more. Responds faster to new price action. Momentum or reactive strategies; quick shifts and reversals. RMA (Relative Moving Average) Used internally by RSI; smooths exponentially but slower than EMA. Momentum confirmation; balanced response. WMA (Weighted Moving Average) Linear weights emphasizing the most recent data strongly. Intraday scalping; crisp but potentially noisy. None Disables smoothing; uses the EMA line alone. Raw comparison baseline. Each smoothing method changes how early or late the strategy reacts: Faster smoothing (EMA/WMA) = more responsive, good for scalping. Slower smoothing (SMA/RMA) = more stable, good for trend following. Modes of Study 🔹 Scalper Mode Use short EMA lengths (e.g., 3–5) and fast smoothing (EMA or WMA). Focus on 1 min – 15 min charts. Watch how quick crossovers appear near local tops/bottoms. Fog and rung compression reveal volatility contraction before bursts. Goal: study short-term rhythm and liquidity pulses. 🔹 Momentum Mode Use moderate EMA (5–9) and RMA smoothing. Ideal for 1 H–4 H charts. Observe how the fog color aligns with trend shifts. EMA 8 / 21 filter can act as macro bias; “Enter” labels will appear only in its direction when enabled. Goal: study sustained motion between pullbacks and acceleration waves. 🔹 Trend-Follower Mode Use longer EMA (13–21) with SMA smoothing. Great for daily/weekly charts. Focus on periods where fog stays unbroken for long stretches — these illustrate clear trend dominance. Watch rung spacing: tight clusters often precede consolidations; wide rungs signal expanding volatility. Goal: visualize slow-motion trend transitions and filter whipsaw conditions. Components EMA Line (Red): Fast-reacting short-term direction. Smoothed Line (Yellow): Reference trend baseline. Fog Zone: Green when EMA > Smoothed (up-momentum), red when below. DNA Rungs: Thin connectors showing volatility structure. EMA 8 / 21 Filter (optional): When enabled, the strategy will only allow Enter events if EMA 8 > EMA 21. Use this to study higher-trend gating effects. Educational Applications Momentum Visualization: Observe how the fast EMA “breathes” around the smoothed baseline. Trend Transitions: Compare different smoothing types to see how early or late reversals are detected. Noise Filtering: Experiment with fog opacity and smoothing lengths to understand trade-off between responsiveness and stability. Risk Concept Simulation: Includes a simple fixed stop-loss parameter (default 13%) for educational demonstrations of position management in the Strategy Tester. How to Use Add to Chart → “Strategy.” Works on any timeframe and instrument. Adjust Parameters: Length: base EMA speed. Smoothing Type: choose SMA, EMA, RMA, or WMA. Smoothing Length: controls delay and smoothness. EMA 8 / 21 Filter: toggles trend gating. Fog & Rungs: visual study options only. Study Behavior: Use Strategy Tester → List of Trades for entry/exit context. Observe how different smoothing types affect early vs. late “Enter” points. Compare trend periods vs. ranging periods to evaluate efficiency. Combine with External Tools: Overlay RSI, MACD, or Volume for deeper correlation analysis. Use replay mode to visualize crossovers in live sequence. Interpreting the Labels Enter: Marks where fast EMA crosses above the smoothed line (or when filter flips positive). Exit: Marks where fast EMA crosses back below. These are purely analytical markers — they do not represent trade advice. Educational Value The Rasta framework helps learners explore: Reaction time differences between moving-average algorithms. Impact of smoothing on signal clarity. Interaction of local and global trends. Visualization of volatility contraction (tight DNA rungs) and expansion (wide fog zones). It’s a sandbox for studying price structure, not a promise of profit. Disclaimer This script is provided for educational and research purposes only. It does not constitute financial advice, trading signals, or performance guarantees. Past market behavior does not predict future outcomes. Users are encouraged to experiment responsibly, record observations, and develop their own understanding of price behavior. Author: Michael Culpepper (mikeyc747) License: Educational / Open for study and modification with credit. Philosophy: “Learning the rhythm of the market is more valuable than chasing its profits.” — Rasta
Stratégie Pine Script®
par mikeyc747
Sigma Trinity ModelAbstract Sigma Trinity Model is an educational framework that studies how three layers of market behavior interact within the same trend: (1) structural momentum (Rasta), (2) internal strength (RSI), and (3) continuation/compounding structure (Pyramid). The model deliberately combines bar-close momentum logic with intrabar, wick-aware strength checks to help users see how reversals form, confirm, and extend. It is not a signal service or automation tool; it is a transparent learning instrument for chart study and backtesting. Why this is not “just a mashup” Many scripts merge indicators without explaining the purpose. Sigma Trinity is a coordinated, three-engine study designed for a specific learning goal: Rasta (structure): defines when momentum actually flips using a dual-line EMA vs smoothed EMA. It gives the entry/exit framework on bar close for clean historical study. RSI (energy): measures internal strength with wick-aware triggers. It uses RSI of LOW (for bottom touches/reclaims) and RSI of HIGH (for top touches/exhaustion) so users can see intrabar strength/weakness that the close can hide. Pyramid (progression): demonstrates how continuation behaves once momentum and strength align. It shows the logic of adds (compounding) as a didactic layer, also on bar close to keep historical alignment consistent. These three roles are complementary, not redundant: structure → strength → progression. Architecture Overview Execution model Rasta & Pyramid: bar close only by default (historically stable, easy to audit). RSI: per tick (realtime) with bar-close backup by default, using RSI of LOW for entries and RSI of HIGH for exits. This makes the module sensitive to intra-bar wicks while still giving a close-based safety net for backtests. Stops (optional in strategy builds): wick-accurate: trail arms/ratchets on HIGH; stop hit checks with LOW (or Close if selected) with a small undershoot buffer to avoid micro-noise hits. Visual model Dual lines (EMA vs smoothed EMA) for Rasta + color fog to see direction and compression/expansion. Rungs (small vertical lines) drawn between the two Rasta lines to visualize wave spacing and rhythm. Clean labels for Entry/Exit/Pyramid Add/RSI events. Everything is state-locked to avoid spamming. Module 1 — Rasta (Structural Momentum Layer) Goal: Identify structural momentum reversals and maintain a consistent, replayable backbone for study. Method: Compute an EMA of a chosen price source (default Close), and a smoothed version (SMA/EMA/RMA/WMA/None selectable). Flip points occur when the EMA line crosses the smoothed line. Optional EMA 8/21 trend filter can gate entries (long-bias when EMA8 > EMA21). A small “adaptive on flip” option lets an entry fire when the filter itself flips to ON and the EMA is already above the smoothed line—useful for trend resumption. Why bar close only? Bar-close Rasta gives a stable, auditable timeline for the structure of the trend. It teaches users to separate “structure” (close-resolved) from “energy” (intrabar, via RSI). Visuals: Fog between the lines (green/red) to show regime. Rungs between lines to show spread (compression vs expansion). Optional plotting of EMA8/EMA21 so users can see the gating effect. Module 2 — RSI (Internal Strength / Energy Layer) Goal: Reveal the intrabar strength/weakness that often precedes or confirms structural flips. Method: Standard RSI with adjustable length and signal smoothing for the panel view. Logic uses wick-aware sources: Entry trigger: RSI of LOW (same RSI length) touching or below a lower band (default 15). Think of it as intraband reactivation from the bottom, using the candle’s deepest excursion. Exit trigger: RSI of HIGH touching or above an upper band (default 85). Think of it as exhaustion at the top, using the candle’s highest excursion. Realtime + Close Backup: fires intrabar on tick, but if the realtime event was missed, the close backup will note it at bar end. Cooldown control: optional bars-between-signals to avoid rapid re-triggers on choppy sequences. Why wick-aware RSI? A close-only RSI can miss the true micro-extremes that cause reversals. Using LOW/HIGH for triggers captures the behavior that traders actually react to during the bar, while the bar-close backup preserves historical reproducibility. Module 3 — Pyramid (Continuation / Compounding Layer) Goal: Teach how continuation behaves once a trend is underway, and how adds can be structured. Method: Same dual-line logic as Rasta (EMA vs smoothed EMA), but only fires when already in a position (or after prior entry conditions). Supports the same EMA 8/21 filter and optional adaptive-on-flip behavior. Bar close only to maintain historical cohesion. What it teaches: Adds tend to cluster when momentum persists. Students can experiment with add spacing and compare “one-shot entries” vs “laddered adds” during strong regimes. How the Pieces Work Together Rasta establishes the structural frame (when the wave flip is real enough to record at close). RSI validates or challenges that structure by tracking intrabar energy at the extremes (low/high touches). Pyramid shows what sustained continuation looks like once (1) and (2) align. This produces a layered view: Structure → Energy → Progression. Users can see when all three line up (strongest phases) and when they diverge (riskier phases or transitions). How to Use It (Step-by-Step) Quick Start Apply script to any symbol/timeframe. In Strategy/Indicator Properties: Enable On every tick (recommended). If available, enable Using bar magnifier and choose a lower resolution (e.g., 1m) to simulate intrabar fills more realistically. Keep On bar close unchecked if you want to observe realtime logic in live charts (strategies still place orders on close by platform design). Default behavior: Rasta & Pyramid = bar close; RSI = per tick with close backup. Reading the Chart Watch for Rasta Entry/Exit labels: they define clean structural turns on close. Watch RSI Entry (LOW touch at/below lower band) and RSI Exit (HIGH touch at/above upper band) to gauge internal energy extremes. Pyramid Add labels reveal continuation phases once a move is already in progress. Tuning Rasta smoothing: choose SMA/EMA/RMA/WMA or None. Higher smoothing → later but cleaner flips; lower smoothing → earlier but choppier. RSI bands: a common educational setting is 15/85 for strong extremes; 20/80 is a bit looser. Cooldown: increase if you see too many RSI re-fires in chop. EMA 8/21 filter: toggle ON to study “trend-gated” entries, OFF to study raw momentum flips. Backtesting Notes (for Strategy Builds) Stops (optional): trail is armed when price advances by a trigger (default D–F₀), ratchets only upward from HIGH, and hits from LOW (or Close if chosen) with a tiny undershoot buffer to avoid micro-wicks. Order sequencing per bar (mirrors the script’s code comments): Trail ratchet via HIGH Intrabar stop hit via LOW/CLOSE → immediate close If still in position at bar close: process exits (Rasta/RSI) If still in position at bar close: process Pyramid Add If flat at bar close: process entries (Rasta/RSI) Platform reality: strategies place orders at bar close in historical testing; the intrabar logic improves realism for stops and event marking but final order timestamps are still close-resolved. Inputs Reference (common) Modules: enable/disable RSI and Pyramid learning layers. Rasta: EMA length, smoothing type/length, EMA8/21 filter & adaptive flip, fog opacity, rungs on/off & limit. RSI: RSI length, signal MA length (panel), Entry band (LOW), Exit band (HIGH), cooldown bars, labels. Pyramid: EMA length, smoothing, EMA8/21 filter & adaptive adds. Execution: toggle Bar Close Only for Rasta/Pyramid; toggle Realtime + Close Backup for RSI. Stops (strategy): Fixed Stop % (first), Fixed Stop % (add), Trail Distance %, Trigger rule (auto D–F₀ or custom), undershoot buffer %, and hit source (LOW/CLOSE). What to Study With It Convergence: how often RSI-LOW entry touches precede the next Rasta flip. Divergence: cases where RSI screams exhaustion (HIGH >= upper band) but Rasta hasn’t flipped yet—often transition zones. Continuation: how Pyramid adds cluster in strong moves; how spacing changes with smoothing/filter choices. Regime changes: use EMA8/21 filter toggles to see what happens at macro turns vs chop. Limitations & Scope This is a learning tool, not a trade copier. It does not provide financial advice or automated execution. Intrabar results depend on data granularity; bar magnifier (when available) can help simulate lower-resolution ticks, but true tick-by-tick fills are a platform-level feature and not guaranteed across all symbols. Suggested Publication Settings (Strategy) Initial capital: 100 Order size: 100 USD (cash) Pyramiding: 10 Commission: 0.25% Slippage: 3 ticks Recalculate: ✓ On every tick Fill orders: ✓ Using bar magnifier (choose 1m or similar); leave On bar close unchecked for live viewing. Educational License Released under the Michael Culpepper Gratitude License (2025). Use and modify freely for education and research with attribution. No resale. No promises of profitability. Purpose is understanding, not signals.
Stratégie Pine Script®
par mikeyc747
1
STRATEGY Fibonacci Levels with High/Low Criteria - AYNET Here is an explanation of the Fibonacci Levels Strategy with High/Low Criteria script: Overview This strategy combines Fibonacci retracement levels with high/low criteria to generate buy and sell signals based on price crossing specific thresholds. It utilizes higher timeframe (HTF) candlesticks and user-defined lookback periods for high/low levels. Key Features Higher Timeframe Integration: The script calculates the open, high, low, and close values of the higher timeframe (HTF) candlestick. Users can choose to calculate levels based on the current or the last HTF candle. Fibonacci Levels: Fibonacci retracement levels are dynamically calculated based on the HTF candlestick's range (high - low). Users can customize the levels (0.000, 0.236, 0.382, 0.500, 0.618, 0.786, 1.000). High/Low Lookback Criteria: The script evaluates the highest high and lowest low over user-defined lookback periods. These levels are plotted on the chart for visual reference. Trade Signals: Long Signal: Triggered when the close price crosses above both: The lowest price criteria (lookback period). The Fibonacci level 3 (default: 0.5). Short Signal: Triggered when the close price crosses below both: The highest price criteria (lookback period). The Fibonacci level 3 (default: 0.5). Visualization: Plots Fibonacci levels and high/low criteria on the chart for easy interpretation. Inputs Higher Timeframe: Users can select the timeframe (default: Daily) for the HTF candlestick. Option to calculate based on the current or last HTF candle. Lookback Periods: lowestLookback: Number of bars for the lowest low calculation (default: 20). highestLookback: Number of bars for the highest high calculation (default: 10). Fibonacci Levels: Fully customizable Fibonacci levels ranging from 0.000 to 1.000. Visualization Fibonacci Levels: Plots six customizable Fibonacci levels with distinct colors and transparency. High/Low Criteria: Plots the highest and lowest levels based on the lookback periods as reference lines. Trading Logic Long Condition: Price must close above: The lowest price criteria (lowcriteria). The Fibonacci level 3 (50% retracement). Short Condition: Price must close below: The highest price criteria (highcriteria). The Fibonacci level 3 (50% retracement). Use Case Trend Reversal Strategy: Combines Fibonacci retracement with recent high/low criteria to identify potential reversal or breakout points. Custom Timeframe Analysis: Incorporates higher timeframe data for multi-timeframe trading strategies.
Stratégie Pine Script®
par Aynet-London
Custom Buy BID StrategyThis Pine Script strategy is designed to identify and capitalize on upward trends in the market using the Average True Range (ATR) as a core component of the analysis. The script provides the following features: Customizable ATR Calculation: Users can switch between different methods of ATR calculation (traditional or simple moving average). Adjustable Parameters: The strategy allows for adjustable ATR periods, ATR multipliers, and custom time windows for executing trades. Buy Signal Alerts: The strategy generates buy signals when the market shifts from a downtrend to an uptrend, based on ATR and price action. Profit and Stop-Loss Management: Built-in take profit and stop-loss conditions are calculated as a percentage of the entry price, allowing for automatic position management. Visual Enhancements: The script highlights the uptrend with green lines and optionally colors bars to help visualize market direction. Flexible Timeframe: Users can configure a specific date range to activate the strategy, offering more control over when trades are executed. This strategy is ideal for traders looking to automate their buy entries and manage risk with a straightforward trend-following approach. By utilizing customizable settings, it adapts to various market conditions and timeframes.
Stratégie Pine Script®
par MR_STOCKVN
DCA, Support and Resistance with RSI and Trend FilterThis script is based on script from Kieranj with added pyramiding and DCA The buy condition (buyCondition) is triggered when the RSI crosses above the oversold threshold (ta.crossover(rsi, oversoldThreshold)), the trend filter confirms an uptrend (isUptrend is true), and the close price is greater than or equal to the support level (close >= supportLevel). The partial sell condition (sellCondition) is triggered when the RSI crosses below the overbought threshold (ta.crossunder(rsi, overboughtThreshold)) and profit goal is reached, the trend filter confirms a downtrend (isUptrend is false), and the close price is less than or equal to the resistance level (close <= resistanceLevel). Full sell will be triggered if trend is broken and profit goal is reached With this implementation, the signals will only be generated in the direction of the trend on the 4-hour timeframe. The trend is considered up when the 50-period SMA is below the 200-period SMA (ta.sma(trendFilterSource, 50) < ta.sma(trendFilterSource, 200)). Pyramiding should be activated, values like 100, so every DCA step should be around 1% i have best results on 5 min charts
Stratégie Pine Script®
par alescha13
11
Fibonacci-Only StrategyFibonacci-Only Strategy This script is a custom trading strategy designed for traders who leverage Fibonacci retracement levels to identify potential trade entries and exits. The strategy is versatile, allowing users to trade across multiple timeframes, with built-in options for dynamic stop loss, trailing stops, and take profit levels. Key Features: Custom Fibonacci Levels: This strategy calculates three specific Fibonacci retracement levels: 19%, 82.56%, and the reverse 19% level. These levels are used to identify potential areas of support and resistance where price reversals or breaks might occur. The Fibonacci levels are calculated based on the highest and lowest prices within a 100-bar period, making them dynamic and responsive to recent market conditions. Dynamic Entry Conditions: Touch Entry: The script enters long or short positions when the price touches specific Fibonacci levels and confirms the move with a bullish (for long) or bearish (for short) candle. Break Entry (Optional): If the "Use Break Strategy" option is enabled, the script can also enter positions when the price breaks through Fibonacci levels, providing more aggressive entry opportunities. Stop Loss Management: The script offers flexible stop loss settings. Users can choose between a fixed percentage stop loss or an ATR-based stop loss, which adjusts based on market volatility. The ATR (Average True Range) stop loss is multiplied by a user-defined factor, allowing for tailored risk management based on market conditions. Trailing Stop Mechanism: The script includes an optional trailing stop feature, which adjusts the stop loss level as the market moves in favor of the trade. This helps lock in profits while allowing the trade to run if the trend continues. The trailing stop is calculated as a percentage of the difference between the entry price and the current market price. Multiple Take Profit Levels: The strategy calculates seven take profit levels, each at incremental percentages above (for long trades) or below (for short trades) the entry price. This allows for gradual profit-taking as the market moves in the trade's favor. Each take profit level can be customized in terms of the percentage of the position to be closed, providing precise control over exit strategies. Strategy Backtesting and Results: Realistic Backtesting: The script has been backtested with realistic account sizes, commission rates, and slippage settings to ensure that the results are applicable to actual trading scenarios. The backtesting covers various timeframes and markets to ensure the strategy's robustness across different trading environments. Default Settings: The script is published with default settings that have been optimized for general use. These settings include a 15-minute timeframe, a 1.0% stop loss, a 2.0 ATR multiplier for stop loss, and a 1.5% trailing stop. Users can adjust these settings to better fit their specific trading style or the market they are trading. How It Works: Long Entry Conditions: The strategy enters a long position when the price touches the 19% Fibonacci level (from high to low) or the reverse 19% level (from low to high) and confirms the move with a bullish candle. If the "Use Break Strategy" option is enabled, the script will also enter a long position when the price breaks below the 19% Fibonacci level and then moves back up, confirming the break with a bullish candle. Short Entry Conditions: The strategy enters a short position when the price touches the 82.56% Fibonacci level and confirms the move with a bearish candle. If the "Use Break Strategy" option is enabled, the script will also enter a short position when the price breaks above the 82.56% Fibonacci level and then moves back down, confirming the break with a bearish candle. Stop Loss and Take Profit Logic: The stop loss for each trade is calculated based on the selected method (fixed percentage or ATR-based). The strategy then manages the trade by either trailing the stop or taking profit at predefined levels. The take profit levels are set at increments of 0.5% above or below the entry price, depending on whether the position is long or short. The script gradually exits the trade as these levels are hit, securing profits while minimizing risk. Usage: For Fibonacci Traders: This script is ideal for traders who rely on Fibonacci retracement levels to find potential trade entries and exits. The script automates the process, allowing traders to focus on market analysis and decision-making. For Trend and Swing Traders: The strategy's flexibility in handling both touch and break entries makes it suitable for trend-following and swing trading strategies. The multiple take profit levels allow traders to capture profits in trending markets while managing risk. Important Notes: Originality: This script uniquely combines Fibonacci retracement levels with dynamic stop loss management and multiple take profit levels. It is not just a combination of existing indicators but a thoughtful integration designed to enhance trading performance. Disclaimer: Trading involves risk, and it is crucial to test this script in a demo account or through backtesting before applying it to live trading. Users should ensure that the settings align with their individual risk tolerance and trading strategy.
Stratégie Pine Script®
par Kinji213
3
Hurst Future Lines of Demarcation StrategyJ. M. Hurst introduced a concept in technical analysis known as the Future Line of Demarcation (FLD), which serves as a forward-looking tool by incorporating a simple yet profound line into future projections on a financial chart. Specifically, the FLD is constructed by offsetting the price half a cycle ahead into the future on the time axis, relative to the Hurst Cycle of interest. For instance, in the context of a 40 Day Cycle, the FLD would be represented by shifting the current price data 20 days forward on the chart, offering an idea of future price movement anticipations. The utility of FLDs extends into three critical areas of insight, which form the backbone of the FLD Trading Strategy: A price crossing the FLD signifies the confirmation of either a peak or trough formation, indicating pivotal moments in price action. Such crossings also help determine precise price targets for the upcoming peak or trough, aligned with the cycle of examination. Additionally, the occurrence of a peak in the FLD itself signals a probable zone where the price might experience a trough, helping to anticipate of future price movements. These insights by Hurst in his "Cycles Trading Course" during the 1970s, are instrumental for traders aiming to determine entry and exit points, and to forecast potential price movements within the market. To use the FLD Trading Strategy, for example when focusing on the 40 Day Cycle, a trader should primarily concentrate on the interplay between three Hurst Cycles: The 20 Day FLD (Signal) - Half the length of the Trade Cycle The 40 Day FLD (Trade) - The Cycle you want to trade The 80 Day FLD (Trend) - Twice the length of the Trade Cycle Traders can gauge trend or consolidation by watching for two critical patterns: Cascading patterns, characterized by several FLDs running parallel with a consistent separation, typically emerge during pronounced market trends, indicating strong directional momentum. Consolidation patterns, on the other hand, occur when multiple FLDs intersect and navigate within the same price bandwidth, often reversing direction to traverse this range multiple times. This tangled scenario results in the formation of Pause Zones, areas where price momentum is likely to temporarily stall or where the emergence of a significant trend might be delayed. This simple FLD indicator provides 3 FLDs with optional source input and smoothing, A-through-H FLD interaction background, adjustable “Close the Trade” triggers, and a simple strategy for backtesting it all. The A-through-H FLD interactions are a framework designed to classify the different types of price movements as they intersect with or diverge from the Future Line of Demarcation (FLD). Each interaction (designated A through H by color) represents a specific phase or characteristic within the cycle, and understanding these can help traders anticipate future price movements and make informed decisions. The adjustable “Close the Trade” triggers are for setting the crossover/under that determines the trade exits. The options include: Price, Signal FLD, Trade FLD, or Trend FLD. For example, a trader may want to exit trades only when price finally crosses the Trade FLD line. Shoutouts & Credits for all the raw code, helpful information, ideas & collaboration, conversations together, introductions, indicator feedback, and genuine/selfless help: 🏆 @TerryPascoe 🏅 @Hpotter 👏 @parisboy
Stratégie Pine Script®
par BarefootJoey
4
Elliott's Quadratic Momentum - Strategy [presentTrading]█ Introduction and How It Is Different The "Elliott's Quadratic Momentum - Strategy" is a unique and innovative approach in the realm of technical trading. This strategy is a fusion of multiple SuperTrend indicators combined with an Elliott Wave-like pattern analysis, offering a comprehensive and dynamic trading tool. It stands apart from conventional strategies by incorporating multiple layers of trend analysis, thereby providing a more robust and nuanced view of market movements. *Although the script doesn't explicitly analyze Elliott Wave patterns, it employs a wave-like approach by considering multiple SuperTrend indicators. Elliott Wave theory is based on the premise that markets move in predictable wave patterns. While this script doesn't identify specific Elliott Wave structures like impulsive and corrective waves, the sequential checking of trend conditions across multiple SuperTrend indicators mimics a wave-like progression. BTC 8hr Long/Short Performance Local Detail █ Strategy, How It Works: Detailed Explanation The core of this strategy lies in its multi-tiered approach: 1. Multiple SuperTrend Indicators: The strategy employs four different SuperTrend indicators, each with unique ATR lengths and multipliers. These indicators offer various perspectives on market trends, ranging from short to long-term views. By analyzing the convergence of these indicators, the strategy can pinpoint robust entry signals for both long and short positions. 2. Elliott Wave-like Pattern Recognition: While not directly applying Elliott Wave theory, the strategy takes inspiration from its pattern recognition approach. It looks for alignments in market movements that resemble the characteristic waves of Elliott's theory. This pattern recognition aids in confirming the signals provided by the SuperTrend indicators, adding an extra layer of validation to the trading signals. 3. Comprehensive Market Analysis: By combining multiple indicators and pattern analysis, the strategy offers a holistic view of the market. This allows for capturing potential trend reversals and significant market moves early. █ Trade Direction The strategy is designed with flexibility in mind, allowing traders to select their preferred trading direction – Long, Short, or Both. This adaptability is key for traders looking to tailor their approach to different market conditions or personal trading styles. The strategy automatically adjusts its logic based on the chosen direction, ensuring that traders are always aligned with their strategic objectives. █ Usage To utilize the "Elliott's Quadratic Momentum - Strategy" effectively: Traders should first determine their trading direction and adjust the SuperTrend settings according to their market analysis and risk appetite. The strategy is versatile and can be applied across various time frames and asset classes, making it suitable for a wide range of trading scenarios. It's particularly effective in trending markets, where the alignment of multiple SuperTrend indicators can provide strong trade signals. █ Default Settings Trading Direction: Configurable (Long, Short, Both) SuperTrend Settings: SuperTrend 1: ATR Length 7, Multiplier 4.0 SuperTrend 2: ATR Length 14, Multiplier 3.618 SuperTrend 3: ATR Length 21, Multiplier 3.5 SuperTrend 4: ATR Length 28, Multiplier 3.382 Additional Settings: Gradient effect for trend visualization, customizable color schemes for upward and downward trends.
Stratégie Pine Script®
par PresentTrading
5
Elliott Wave with Supertrend Exit - Strategy [presentTrading]## Introduction and How it is Different The Elliott Wave with Supertrend Exit provides automated detection and validation of Elliott Wave patterns for algorithmic trading. It is designed to objectively identify high-probability wave formations and signal entries based on confirmed impulsive and corrective patterns. * The Elliott part is mostly referenced from Elliott Wave by @LuxAlgo Key advantages compared to discretionary Elliott Wave analysis: - Wave Labeling and Counting: The strategy programmatically identifies swing pivot highs/lows with the Zigzag indicator and analyzes the waves between them. It labels the potential impulsive and corrective patterns as they form. This removes the subjectivity of manual wave counting. - Pattern Validation: A rules-based engine confirms valid impulsive and corrective patterns by checking relative size relationships and fib ratios. Only confirmed wave counts are plotted and traded. - Objective Entry Signals: Trades are entered systematically on the start of new impulsive waves in the direction of the trend. Pattern failures invalidate setups and stop out positions. - Automated Trade Management: The strategy defines specific rules for profit targets at fib extensions, trailing stops at swing points, and exits on Supertrend reversals. This automates the entire trade lifecycle. - Adaptability: The waveform recognition engine can be tuned by adjusting parameters like Zigzag depth and Supertrend settings. It adapts to evolving market conditions. ETH 1hr chart In summary, the strategy brings automation, objectivity and adaptability to Elliott Wave trading - removing subjective interpretation errors and emotional trading biases. It implements a rules-based, algorithmic approach for systematically trading Elliott Wave patterns across markets and timeframes. ## Trading Logic and Rules The strategy follows specific trading rules based on the detected and validated Elliott Wave patterns. Entry Rules - Long entry when a new impulsive bullish (5-wave) pattern forms - Short entry when a new impulsive bearish (5-wave) pattern forms The key is entering on the start of a new potential trend wave rather than chasing. Exit Rules - Invalidation of wave pattern stops out the trade - Close long trades on Supertrend downturn - Close short trades on Supertrend upturn - Use a stop loss of 10% of entry price (configurable) Trade Management - Scale out partial profits at Fibonacci levels - Move stop to breakeven when price reaches 1.618 extension - Trail stops below key swing points - Target exits at next Fibonacci projection level Risk Management - Use stop losses on all trades - Trade only highest probability setups - Size positions according to chart timeframe - Avoid overtrading when no clear patterns emerge ## Strategy - How it Works The core logic follows these steps: 1. Find swing highs/lows with Zigzag indicator 2. Analyze pivot points to detect impulsive 5-wave patterns: - Waves 1, 3, and 5 should not overlap - Waves 3 and 5 must be longer than wave 1 - Confirm relative size relationships between waves 3. Validate corrective 3-wave patterns: - Look for overlapping, choppy waves that retrace the prior impulsive wave 4. Plot validated waves and Fibonacci retracement levels 5. Signal entries when a new impulsive wave pattern forms 6. Manage exits based on pattern failures and Supertrend reversals Impulsive Wave Validation The strategy checks relative size relationships to confirm valid impulsive waves. For uptrends, it ensures: ``` Copy code- Wave 3 is longer than wave 1 - Wave 5 is longer than wave 2 - Waves do not overlap ``` Corrective Wave Validation The strategy identifies overlapping corrective patterns that retrace the prior impulsive wave within Fibonacci levels. Pattern Failure Invalidation If waves fail validation tests, the strategy invalidates the pattern and stops signaling trades. ## Trade Direction The strategy detects impulsive and corrective patterns in both uptrends and downtrends. Entries are signaled in the direction of the validated wave pattern. ## Usage - Use on charts showing clear Elliott Wave patterns - Start with daily or weekly timeframes to gauge overall trend - Optimize Zigzag and Supertrend settings as needed - Consider combining with other indicators for confirmation ## Default Settings - Zigzag Length: 4 bars - Supertrend Length: 10 bars - Supertrend Multiplier: 3 - Stop Loss: 10% of entry price - Trading Direction: Both
Stratégie Pine Script®
par PresentTrading
9