立即開始

圖表形態

Sniper Reversal DCA Scalping//@version=5 strategy("Sniper Reversal DCA Scalping", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // === Parameters === rsiLen = input.int(14, "RSI Length") rsiOS = input.int(30, "RSI Oversold") rsiOB = input.int(70, "RSI Overbought") bbLen = input.int(20, "BB Length") bbMult = input.float(2.0, "BB Multiplier") macdFast = input.int(12) macdSlow = input.int(26) macdSig = input.int(9) dcaSpacing = input.float(0.01, "DCA Spacing %", minval=0.01) maxDCA = input.int(2, "Max DCA Entries", minval=1, maxval=5) tpPerc = input.float(1.0, "Take Profit %") slPerc = input.float(1.0, "Stop Loss %") // === Indicators === rsi = ta.rsi(close, rsiLen) = ta.macd(close, macdFast, macdSlow, macdSig) bbBasis = ta.sma(close, bbLen) bbDev = bbMult * ta.stdev(close, bbLen) upperBB = bbBasis + bbDev lowerBB = bbBasis - bbDev macdBull = ta.crossover(macdLine, signalLine) macdBear = ta.crossunder(macdLine, signalLine) // === Sniper Buy Condition === sniperBuy = rsi < rsiOS and close < lowerBB and macdBull sniperSell = rsi > rsiOB and close > upperBB and macdBear // === Entry Tracking var int buyDCA = 0 var float buyBasePrice = na if (sniperBuy and buyDCA == 0) strategy.entry("Buy", strategy.long) buyBasePrice := close buyDCA := 1 else if (buyDCA > 0 and buyDCA < maxDCA and close <= buyBasePrice * (1 - dcaSpacing / 100)) strategy.entry("Buy DCA " + str.tostring(buyDCA+1), strategy.long) buyDCA += 1 if (strategy.position_size == 0) buyDCA := 0 buyBasePrice := na // === Take Profit / Stop Loss if (strategy.position_size > 0) avgEntry = strategy.position_avg_price strategy.exit("TP/SL", from_entry="", limit=avgEntry * (1 + tpPerc/100), stop=avgEntry * (1 - slPerc/100)) // === Short Entry (optional) if (sniperSell) strategy.entry("Sell", strategy.short) strategy.exit("TP/SL S", from_entry="Sell", limit=close * (1 - tpPerc/100), stop=close * (1 + slPerc/100))
Pine Script®策略
由tpornchaiwattanasiri提供
SMPivot Gaussian Trend Strategy [Js.K]This open-source strategy combines a Gaussian-weighted moving average with “Smart Money” swing-pivot breaks (BoS = Break-of-Structure) to capture trend continuations and early reversals. It is intended for educational and research purposes only and must not be interpreted as financial advice. How the logic works ------------------- 1. Gaussian Moving Average (GMA) • A custom Gaussian kernel (length = 30 by default) smooths price while preserving turning points. • A second pass (“Smoothed GMA”) further filters noise; only its direction is used for bias. 2. Swing-Pivot detection • High/Low pivots are found with a symmetric look-back/forward window (Pivot Length = 20). • The most recent confirmed pivot creates a dynamic structure level (UpdatedHigh / UpdatedLow). 3. Entry rules Long • Price closes above the most recent pivot high **and** above Smoothed GMA. Short • Price closes below the most recent pivot low **and** below Smoothed GMA. 4. Exit rules • Fixed stop-loss and take-profit in percent of current price (user-defined). • Separate parameters and on/off switches for longs and shorts. 5. Visuals • GMA (dots) and Smoothed GMA (line). • Structure break lines plus “BoS PH/PL” labels at the midpoint between pivot and break. Inputs ------ Gaussian • Gaussian Length (default 30) – smoothing window. • Gaussian Scatterplot – toggle GMA dots. Smart-Money Pivot • Pivot Length (default 20). • Bull / Bear colors. Risk settings • Long / Short enable. • Individual SL % and TP % (default 1 % SL, 30 % TP). • Strategy uses percent-of-equity sizing; initial capital defaults to 10 000 USD. Adjust these to reflect your own account size, realistic commission and slippage. Best practice & compliance notes -------------------------------- • Test on a data sample that yields ≥ 100 trades to obtain statistically relevant results. • Keep risk per trade below 5–10 % of equity; the default values comply with this guideline. • Explain any custom settings you publish that differ from the defaults. • Do **not** remove the code header or licence notice (MPL-2.0). • Include realistic commission and slippage in your back-test before publishing. • The script does **not** repaint; orders are processed on bar close. Usage ----- 1. Add the script to any symbol / timeframe; intraday and swing timeframes both work—adjust lengths accordingly. 2. Configure SL/TP and position size to match your personal risk management. 3. Run “List of trades” and the performance summary to evaluate expectancy; forward-test before live use. Disclaimer ---------- Trading involves substantial risk. Past performance based on back-testing is not necessarily indicative of future results. The author is **not** responsible for any financial losses arising from the use of this script.
Pine Script®策略
由Jasonkasei提供
Simplified Test StrategyThis indicator replicates the powerful structure-based logic of premium institutional tools like It combines smart market structure detection (BOS/CHoCH), momentum filters (RSI), volatility assessment (ATR), and volume spikes to deliver high-probability trade signals. Key features include: ✅ Swing high/low structure detection ✅ Break of Structure and Change of Character signals ✅ Configurable RSI, volume, and ATR filters ✅ Composite scoring to filter only strong setups ✅ Dynamic SL/TP using recent market structure ✅ Built-in alerts for buy/sell signals Use this tool to visually analyze market reversals, confirm breakout trades, or build confluence with your existing strategy. Designed for traders who want structure-first, signal-smart trading.
Pine Script®策略
由dvkang2038f提供
Seekho roj kamao V6 StrategyThis strategy is based on the Chandelier Exit indicator, a volatility-based trailing stop developed by Chuck LeBeau. It uses the Average True Range (ATR) to dynamically determine stop levels for both long and short positions. The strategy aims to capture trends by entering trades when the Chandelier Exit signal changes direction. 📌 How It Works: Long Entry: A buy signal is generated when price breaks above the Chandelier short stop, indicating a potential upward trend. The strategy enters a long position at this point. Short Entry: A sell signal is generated when price falls below the Chandelier long stop, suggesting a downtrend. The strategy enters a short position here. Exit Conditions: Long positions are closed when a short signal appears. Short positions are closed when a buy signal appears. ⚙️ Key Parameters: ATR Period: Defines how many bars are used to calculate volatility. ATR Multiplier: Adjusts the sensitivity of the stop levels. Use Close for Extremes: Determines whether the highest/lowest close is used instead of highs/lows for calculating stops. Bar Confirmation: Waits for the bar to close before confirming a signal. This strategy works best in trending markets and may produce whipsaws in sideways or choppy conditions. It can be used standalone or in combination with other filters like volume, moving averages, or higher time frame confirmation.
Pine Script®策略
由Seekho-Roj-Kamao提供
1
Timeframe StrategyThis is a multi-timeframe trading strategy inspired by Ross Cameron's style, optimized for scalping and trend-following across various timeframes (1m, 5m, 15m, 1h, and 1D). The strategy integrates a comprehensive set of technical indicators, dynamic risk management, and visual tools. Core Features Dynamic Take Profit, Stop Loss & Trailing Stop > Separate settings per timeframe for: -TP% (Take Profit) -SL% (Stop Loss) -Trailing Stop % -Cooldown bars > Configurable via UI inputs. >Smart Entry Conditions Bullish entry: EMA9 crossover EMA20 and EMA50 > EMA200 Bearish entry: EMA9 crossunder EMA20 and EMA50 < EMA200 >Additional confirmation filters: -Volume Filter (enabled/disabled via UI) -Time Filter (e.g., only between 15:00–20:00 UTC) -Spike Filter: rejects high-volatility candles -RSI Filter: above/below 50 for trend confirmation -ADX Filter (only applied on 1m, e.g., ADX > 15) -Micro-Volatility Filter: minimum range percentage (1m only) -Trend Filter (1m only): price must be above/below EMA200 >Trailing Stop Logic -Configurable for each timeframe. - Optional via toggle (use_trailing). >Trade Cooldown Logic -Prevents consecutive trades within X bars, configurable per timeframe. >Technical Indicators Used -EMA 9 / 20 / 50 / 200 -VWAP -RSI (14) -ATR (14) for volatility-based spike filtering -Custom-calculated ADX (14) (manually implemented) >Visual Elements 🔼/🔽 Entry signals (long/short) plotted on the chart. 📉 Table in bottom-left: Displays current values of EMA/VWAP/volume/ATR/ADX. > Optional "Tab info" panel in top-right (toggleable): -Timeframe & strategy settings -Live status of filters (volume, time, cooldown, spike, RSI, ADX, range, trend) -Uses emoji (✅ / ❌) for quick diagnostics. >User Customization -Inputs per timeframe for all key parameters. -Toggle switches for: -Trailing stop -Volume filter -Info table visibility This strategy is designed for active traders seeking a balance between momentum entry, risk control, and adaptability across timeframes. It's ideal for backtesting quick reversals or breakout setups in fast markets, especially at lower timeframes like 1m or 5m.
Pine Script®策略
由alessandrocacchi提供
Seekho roj kamao StrategyThe "Seekho Roj Kamao Strategy" is a powerful backtesting tool designed to identify high-probability trend continuation setups. It combines RSI, Chande Momentum Oscillator (CMO), and adaptive ATR-based trailing stop logic to detect precise entry points and manage risk through automated take profit (1R, 2R, 3R) and stop loss levels. This strategy dynamically evaluates trend direction shifts using price action and momentum divergence, enabling traders to test robust trading scenarios with clearly defined exits. Ideal for forex, crypto, and stock traders, it allows full customization of sensitivity and volatility filters, making it suitable for both intraday and swing trading approaches.
Pine Script®策略
由Seekho-Roj-Kamao提供
Daily Breakout + Daily Shadow By RouroThis script is a Pine v5 strategy designed to detect daily candle body breakouts and execute them on any intraday timeframe, while also providing: Daily Data Retrieval Using request.security(..., "D", ...) it fetches the OHLC and timestamp of the daily candle, regardless of the chart’s current timeframe. Calculation of Yesterday’s and Day-Before-Yesterday’s Bodies b1High and b1Low → the high/low of yesterday’s daily candle body b2High and b2Low → the high/low of the previous day’s body Detection of the First Intraday Bar After a New Day By using ta.change(time("D")), it marks the start of each new trading day. Drawing the Previous Day’s “Shadow” on the Chart It overlays a box (box.new) and two wick lines (line.new) with configurable colors and transparency, so you can clearly see the full range of yesterday’s candle on any intraday chart. Automatic End-of-Day Position Closure It will automatically close any open position at the start of the next day to avoid unintended rollovers. Entry Signals On the very first intraday bar after the daily close: Long if yesterday’s close broke above the body of the day before yesterday Short if yesterday’s close broke below the body of the day before yesterday …which triggers a strategy.entry at the intraday open. Fully Customizable Stop-Loss and Take-Profit SL options: Opposite end of yesterday’s body Fixed pips from entry A risk-reward ratio on yesterday’s wick Optional “safety SL” in fixed pips that overrides the above TP options: Fixed pips Yesterday’s wick extreme (high/low) Partial exit on the wick (TP1), then second exit (TP2) either: At a multiplied RR Or at the daily close (“Close of Day”) You can also choose to move SL to breakeven after TP1 is hit. Live Metrics Table In the upper-right corner it displays in real time: Start of backtest (date of first trade) Number of ✅ Winning trades and ❌ Losing trades Total number of trades Win rate (%) Profit Factor All within a fixed table layout so it never runs out of rows or columns.
Pine Script®策略
由rouro33提供
1
XAUUSD Strategy with Visual DivergenceThis strategy is designed to capture high-probability trend-continuation trades on XAUUSD (Gold/US Dollar) by combining trend-following logic with momentum-based divergence detection. It uses the 200-period Exponential Moving Average (EMA) to filter for the prevailing trend and the Relative Strength Index (RSI) to identify bullish and bearish divergences as early entry signals. The strategy incorporates a risk-reward profile of 2:1, making it suitable for both swing and intra-day traders.
Pine Script®策略
由ammad_rahim1提供
Likidite Avı + Dönüş Stratejisi (TP/SL + Zaman Bazlı)Checks if the previous top/bottom is pinned. Then it generates a signal as soon as a sharp and opposite candle comes. It looks for a reactionary reversal, not a pullback. It gives fewer but more meaningful signals. ✅ Previous top/bottom pin (liquidity hunt) ✅ Immediately followed by a strong reversal candle ✅ And there is a signal system that gives these conditions instantly, together with the candle closing.
Pine Script®策略
由BABAPANGO提供
Price Flip StrategyPrice Flip Strategy with User-Defined Ticker Max/Max This strategy leverages an inverted price calculation based on user-defined maximum and minimum price levels over customizable lookback periods. It generates buy and sell signals by comparing the previous bar's original price to the inverted price, within a specified date range. The script plots key metrics, including ticker max/min, original and inverted prices, moving averages, and HLCC4 averages, with customizable visibility toggles and labels for easy analysis. Key Features: Customizable Inputs: Set lookback periods for ticker max/min, moving average length, and date range for signal generation. Inverted Price Logic: Calculates an inverted price using ticker max/min to identify trading opportunities. Flexible Visualization: Toggle visibility for plots (e.g., ticker max/min, prices, moving averages, HLCC4 averages) and last-bar labels with user-defined colors and sizes. Trading Signals: Generates buy signals when the previous original price exceeds the inverted price, and sell signals when it falls below, with alerts for real-time notifications. Labeling: Displays values on the last bar for all plotted metrics, aiding in quick reference. How to Use: Add to Chart: Apply the script to a TradingView chart via the Pine Editor. Configure Settings: Date Range: Set the start and end dates to define the active trading period. Ticker Levels: Adjust the lookback periods for calculating ticker max and min (e.g., 100 bars for max, 100 for min). Moving Averages: Set the length for exponential moving averages (default: 20 bars). Plots and Labels: Enable/disable specific plots (e.g., Inverted Price, Original HLCC4) and customize label colors/sizes for clarity. Interpret Signals: Buy Signal: Triggered when the previous close price is above the inverted price; marked with an upward label. Sell Signal: Triggered when the previous close price is below the inverted price; marked with a downward label. Set Alerts: Use the built-in alert conditions to receive notifications for buy/sell signals. Analyze Plots: Review plotted lines (e.g., ticker max/min, HLCC4 averages) and last-bar labels to assess price behavior. Tips: Use in trending markets by enabling ticker max for uptrends or ticker min for downtrends, as indicated in tooltips. Adjust the label offset to prevent overlapping text on the last bar. Test the strategy on a demo account to optimize lookback periods and moving average settings for your asset. Disclaimer: This script is for educational purposes and should be tested thoroughly before use in live trading. Past performance is not indicative of future results.
Pine Script®策略
由Dshergill提供
2
Gold ORB Strategy (15-min Range, 5-min Entry)The Gold ORB (Opening Range Breakout) Strategy is designed for day traders looking to capitalize on the price action in the early part of the trading day, specifically using a 15-minute range for identifying the opening range and a 5-minute timeframe for breakout entries. The strategy trades the Gold market (XAU/USD) during the New York session. Opening Range: The strategy defines the Opening Range (ORB) between 9:30 AM EST and 9:45 AM EST using the highest and lowest points during this 15-minute window. Breakout Entries: The strategy enters trades when the price breaks above the ORB high for a long position or below the ORB low for a short position. It waits for a 5-minute candle close outside the range before entering a trade. Stop Loss and Take Profit: The stop loss is placed at 50% of the ORB range, and the take profit is set at twice the ORB range (1:2 risk-reward ratio). Time Window: The strategy only executes trades before 12:00 PM EST, avoiding late-day market fluctuations and consolidations.
Pine Script®策略
由krypson提供
Supertrend Hombrok BotSupertrend Hombrok Bot – Automated Trading Strategy for Dynamic Market Conditions This trading strategy script has been developed to operate automatically based on detailed market conditions. It combines the popular Supertrend indicator, RSI (Relative Strength Index), Volume, and ATR (Average True Range) to determine the best entry and exit points while maintaining proper risk management. Key Features: Supertrend as the Base: Uses the Supertrend indicator to identify the market's trend direction, generating buy signals when the market is in an uptrend and sell signals when in a downtrend. RSI Filter: The RSI is used to determine overbought and oversold conditions, helping to avoid entries in extreme market conditions. Entries are avoided when RSI > 70 (overbought) and RSI < 30 (oversold), reducing the risk of false movements. Volume Filter: The strategy checks if the trading volume is above the average multiplied by a user-defined factor. This ensures that only significant movements, with higher liquidity, are considered. Candle Body Size: The strategy filters only candles with a body large enough relative to the ATR (Average True Range), ensuring that the price movements on the chart have sufficient strength. Risk Management: The bot is configured to operate with an adjustable Risk/Reward Ratio (R:R). This means that for each trade, both Take Profit (TP) and Stop Loss (SL) are adjusted based on the market's volatility as measured by the ATR. Automatic Entries and Exits: The script automatically executes entries based on the specified conditions and exits with predefined Stop Loss and Take Profit levels, ensuring risk is controlled for each trade. How It Works: Buy Condition: Triggered when the market is in an uptrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is below the overbought level. Sell Condition: Triggered when the market is in a downtrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is above the oversold level. Alerts: Buy and Sell Alerts are configured with detailed information, including Stop Loss and Take Profit values, allowing the user to receive notifications when trading conditions are met. Capital Management: The capital per trade can be adjusted based on account size and risk profile. Important Note: Always test before trading with real capital: While the strategy has been designed based on solid technical analysis methods, always perform tests in real-time market conditions with demo accounts before applying the bot in live trading. Disclaimer: This script is a tool to assist in the trading process and does not guarantee profit. Past performance is not indicative of future results, and the trader is always responsible for their investment decisions.
Pine Script®策略
由sidimarvinicius提供
Vinicius Setup ATR Description: This script is a strategy based on the Supertrend indicator combined with volume analysis, candle strength, and RSI. Its goal is to identify potential entry points for buy and sell trades based on technical criteria, without promising profitability or guaranteed results. Script Components: Supertrend: Used as the main trend compass. When the trend is positive (direction = 1), buy signals are considered; when negative (direction = -1), sell signals are considered. Volume: Entries are only validated if the volume is above the average of the last 20 candles, adjusted with a 1.2 multiplier. Candle Body: The candle body must be larger than a certain percentage of the ATR, ensuring sufficient strength and volatility. RSI: Used as a filter to avoid trades in extreme overbought or oversold zones. Support and Resistance: Identified based on simple pivots (5 periods before and after). Customizable Parameters: ATR Length and Multiplier: Controls the sensitivity of the Supertrend. RSI Period: Adjusts the relative strength filter. Minimum Volume and Candle Body: Settings to validate entry signals. Entry Conditions: Buy: Positive trend + strong candle + high volume + RSI below 70. Sell: Negative trend + strong candle + high volume + RSI above 30. Exit Conditions: The trade is closed upon the appearance of an opposite signal. Notes: This is a technical system with no profit guarantees. It is recommended to test with realistic capital values and parameters suited to your risk management. The script is not optimized for specific profitability, but rather to support study and the construction of setups with objective criteria.
Pine Script®策略
由sidimarvinicius提供
Dskyz (DAFE) AI Adaptive Regime - Beginners VersionDskyz (DAFE) AI Adaptive Regime - Pro: Revolutionizing Trading for All Introduction In the fast-paced world of financial markets, traders need tools that can keep up with ever-changing conditions while remaining accessible. The Dskyz (DAFE) AI Adaptive Regime - Pro is a groundbreaking TradingView strategy that delivers advanced, AI-driven trading capabilities to everyday traders. Available on TradingView (TradingView Scripts), this Pine Script strategy combines sophisticated market analysis with user-friendly features, making it a standout choice for both novice and experienced traders. Core Functionality The strategy is built to adapt to different market regimes—trending, ranging, volatile, or quiet—using a robust set of technical indicators, including: Moving Averages (MA): Fast and slow EMAs to detect trend direction. Average True Range (ATR): For dynamic stop-loss and volatility assessment. Relative Strength Index (RSI) and MACD: Multi-timeframe confirmation of momentum and trend. Average Directional Index (ADX): To identify trending markets. Bollinger Bands: For assessing volatility and range conditions. Candlestick Patterns: Recognizes patterns like bullish engulfing, hammer, and double bottoms, confirmed by volume spikes. It generates buy and sell signals based on a scoring system that weighs these indicators, ensuring trades align with the current market environment. The strategy also includes dynamic risk management with ATR-based stops and trailing stops, as well as performance tracking to optimize future trades. What Sets It Apart The Dskyz (DAFE) AI Adaptive Regime - Pro distinguishes itself from other TradingView strategies through several unique features, which we compare to common alternatives below: | Feature | Dskyz (DAFE) | Typical TradingView Strategies| |---------|-------------|------------------------------------------------------------| | Regime Detection | Automatically identifies and adapts to **four** market regimes | Often static or limited to trend/range detection | | Multi‑Timeframe Analysis | Uses higher‑timeframe RSI/MACD for confirmation | Rarely incorporates multi‑timeframe data | | Pattern Recognition | Detects candlestick patterns **with volume confirmation** | Limited or no pattern recognition | | Dynamic Risk Management | ATR‑based stops and trailing stops | Often uses fixed stops or basic risk rules | | Performance Tracking | Adjusts thresholds based on past performance | Typically static parameters | | Beginner‑Friendly Presets | Aggressive, Conservative, Optimized profiles | Requires manual parameter tuning | | Visual Cues | Color‑coded backgrounds for regimes | Basic or no visual aids | The Dskyz strategy’s ability to integrate regime detection, multi-timeframe analysis, and user-friendly presets makes it uniquely versatile and accessible, addressing the needs of everyday traders who want professional-grade tools without the complexity. -Key Features and Benefits [Why It’s Ideal for Everyday Traders ⚡The Dskyz (DAFE) AI Adaptive Regime - Pro democratizes advanced trading by offering professional-grade tools in an accessible package. Unlike many TradingView strategies that require deep technical knowledge or fail in changing market conditions, this strategy simplifies complex analysis while maintaining robustness. Its presets and visual aids make it easy for beginners to start, while its adaptive features and performance tracking appeal to advanced traders seeking an edge. 🔄Limitations and Considerations Market Dependency: Performance varies by market and timeframe. Backtesting is essential to ensure compatibility with your trading style. Learning Curve: While presets simplify use, understanding regimes and indicators enhances effectiveness. No Guaranteed Profits: Like all strategies, success depends on market conditions and proper execution. The Reddit discussion highlights skepticism about TradingView strategies’ universal success (Reddit Discussion). Instrument Specificity: Optimized for futures (e.g., ES, NQ) due to fixed tick values. Test on other instruments like stocks or forex to verify compatibility. 📌Conclusion The Dskyz (DAFE) AI Adaptive Regime - Pro is a revolutionary TradingView strategy that empowers everyday traders with advanced, AI-driven tools. Its ability to adapt to market regimes, confirm signals across timeframes, and manage risk dynamically. sets it apart from typical strategies. By offering beginner-friendly presets and visual cues, it makes sophisticated trading accessible without sacrificing power. Whether you’re a novice looking to trade smarter or a pro seeking a competitive edge, this strategy is your ticket to mastering the markets. Add it to your chart, backtest it, and join the elite traders leveraging AI to dominate. Trade like a boss today! 🚀 Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. -Dskyz
Pine Script®策略
由DskyzInvestments提供
3
NY First Candle Break and RetestStrategy Overview Session and Time Parameters: The strategy focuses on the New York trading session, starting at 9:30 AM and lasting for a predefined session length, typically 3 to 4 hours. This timing captures the most active market hours, providing ample trading opportunities. Strategy Parameters: Utilizes the Average True Range (ATR) to set dynamic stop-loss levels, ensuring risk is managed according to market volatility. Employs a reward-to-risk ratio to determine take profit levels, aiming for a balanced approach between potential gains and losses. Strategy Settings: Incorporates simple moving averages (EMA) and the Volume Weighted Average Price (VWAP) to identify trend direction and price levels. Volume confirmation is used to validate breakouts, ensuring trades are based on significant market activity. Trade Management: Features a trailing stop mechanism to lock in profits as the trade moves in favor, with multiple take profit levels to secure gains incrementally. The strategy is designed to handle both long and short positions, adapting to market conditions. Alert Settings: Provides alerts for key events such as session start, breakout, retest, and entry signals, helping traders stay informed and act promptly. Visual cues on the chart highlight entry and exit points, making it easier for beginners to follow the strategy. This strategy is particularly suited for the current volatile market environment, where simplicity and clear guidelines can help beginner traders navigate the complexities of trading. It emphasizes risk management and uses straightforward indicators to make informed trading decisions. I put together this Trading View scalping strategy for futures markets with some help from Claude AI. Shoutout to everyone who gave me advice along the way—I really appreciate it! I’m sure there’s room for improvement, so feel free to share your thoughts… just go easy on me. :)
Pine Script®策略
由PrincessQuinn提供
Dskyz Adaptive Futures Elite (DAFE)Dskyz Adaptive Futures Edge (DAFE) imgur.com A Dynamic Futures Trading Strategy DAFE adapts to market volatility and price action using technical indicators and advanced risk management. It’s built for high-stakes futures trading (e.g., MNQ, BTCUSDT.P), offering modular logic for scalpers and swing traders alike. Key Features Adaptive Moving Averages Dynamic Logic: Fast and slow SMAs adjust lengths via ATR, reacting to momentum shifts and smoothing in calm markets. Signals: Long entry on fast SMA crossing above slow SMA with price confirmation; short on cross below. RSI Filtering (Optional) Momentum Check: Confirms entries with RSI crossovers (e.g., above oversold for longs). Toggle on/off with custom levels. Fine-Tuning: Adjustable lookback and thresholds (e.g., 60/40) for precision. Candlestick Pattern Recognition Eng|Enhanced Detection: Identifies strong bullish/bearish engulfing patterns, validated by volume and range strength (vs. 10-period SMA). Conflict Avoidance: Skips trades if both patterns appear in the lookback window, reducing whipsaws. Multi-Timeframe Trend Filter 15-Minute Alignment: Syncs intrabar trades with 15-minute SMA trends; optional for flexibility. Dollar-Cost Averaging (DCA) New! Scaling: Adds up to a set number of entries (e.g., 4) on pullbacks/rallies, spaced by ATR multiples. Control: Caps exposure and resets on exit, enhancing trend-following potential. Trade Execution & Risk Management Entry Rules: Prioritizes moving averages or patterns (user choice), with volume, volatility, and time filters. Stops & Trails: Initial Stop: ATR-based (2–3.5x, volatility-adjusted). Trailing Stop: Locks profits with configurable ATR offset and multiplier. Discipline Cooldown: Pauses post-exit (e.g., 0–5 minutes). Min Hold: Ensures trades last a set number of bars (e.g., 2–10). Visualization & Tools Charts: Overlays MAs, stops, and signals; trend shaded in background. Dashboard: Shows position, P&L, win rate, and more in real-time. Debugging: Logs signal details for optimization. Input Parameters Parameter Purpose Suggested Use Use RSI Filter - Toggle RSI confirmation *Disable 4 price-only trading RSI Length - RSI period (e.g., 14) *7–14 for sensitivity RSI Overbought/Oversold - Adjust for market type *Set levels (e.g., 60/40) Use Candlestick Patterns - Enables engulfing signals *Disable for MA focus Pattern Lookback - Pattern window (e.g., 19) *10–20 bars for balance Use 15m Trend Filter - Align with 15-min trend *Enable for trend trades Fast/Slow MA Length - Base MA lengths (e.g., 9/19) *10–25 / 30–60 per timeframe Volatility Threshold - Filters volatile spikes *Max ATR/close (e.g., 1%) Min Volume - Entry volume threshold *Avoid illiquid periods (e.g., 10) ATR Length - ATR period (e.g., 14) *Standard volatility measure Trailing Stop ATR Offset - Trail distance (e.g., 0.5) *0.5–1.5 for tightness Trailing Stop ATR Multi - Trail multiplier (e.g., 1.0) *1–3 for trend room Cooldown Minutes - Post-exit pause (e.g., 0–5) *Prevents overtrading Min Bars to Hold - Min trade duration (e.g., 2) *5–10 for intraday Trading Hours - Active window (e.g., 9–16) *Focus on key sessions Use DCA - Toggle DCA *Enable for scaling Max DCA Entries - Cap entries (e.g., 4) *Limit risk exposure DCA ATR Multiplier Entry spacing (e.g., 1.0) *1–2 for wider gaps Compliance Realistic Testing: Fixed quantities, capital, and slippage for accurate backtests. Transparency: All logic is user-visible and adjustable. Risk Controls: Cooldowns, stops, and hold periods ensure stability. Flexibility: Adapts to various futures and timeframes. Summary DAFE excels in volatile futures markets with adaptive logic, DCA scaling, and robust risk tools. Currently in prop account testing, it’s a powerful framework for precision trading. Caution DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
Pine Script®策略
由DskyzInvestments提供
12
BTC Trading RobotOverview This Pine Script strategy is designed for trading Bitcoin (BTC) by placing pending orders (BuyStop and SellStop) based on local price extremes. The script also implements a trailing stop mechanism to protect profits once a position becomes sufficiently profitable. ________________________________________ Inputs and Parameter Setup 1. Trading Profile: o The strategy is set up specifically for BTC trading. o The systemType input is set to 1, which means the strategy will calculate trade parameters using the BTC-specific inputs. 2. Common Trading Inputs: o Risk Parameters: Although RiskPercent is defined, its actual use (e.g., for position sizing) isn’t implemented in this version. o Trading Hours Filter:  SHInput and EHInput let you restrict trading to a specific hour range. If these are set (non-zero), orders will only be placed during the allowed hours. 3. BTC-Specific Inputs: o Take Profit (TP) and Stop Loss (SL) Percentages:  TPasPctBTC and SLasPctBTC are used to determine the TP and SL levels as a percentage of the current price. o Trailing Stop Parameters:  TSLasPctofTPBTC and TSLTgrasPctofTPBTC determine when and by how much a trailing stop is applied, again as percentages of the TP. 4. Other Parameters: o BarsN is used to define the window (number of bars) over which the local high and low are calculated. o OrderDistPoints acts as a buffer to prevent the entry orders from being triggered too early. ________________________________________ Trade Parameter Calculation • Price Reference: o The strategy uses the current closing price as the reference for calculations. • Calculation of TP and SL Levels: o If the systemType is set to BTC (value 1), then:  Take Profit Points (Tppoints) are calculated by multiplying the current price by TPasPctBTC.  Stop Loss Points (Slpoints) are calculated similarly using SLasPctBTC.  A buffer (OrderDistPoints) is set to half of the take profit points.  Trailing Stop Levels:  TslPoints is calculated as a fraction of the TP (using TSLTgrasPctofTPBTC).  TslTriggerPoints is similarly determined, which sets the profit level at which the trailing stop will start to activate. ________________________________________ Time Filtering • Session Control: o The current hour is compared against SHInput (start hour) and EHInput (end hour). o If the current time falls outside the allowed window, the script will not place any new orders. ________________________________________ Entry Orders • Local Price Extremes: o The strategy calculates a local high and local low using a window of BarsN * 2 + 1 bars. • Placing Stop Orders: o BuyStop Order:  A long entry is triggered if the current price is less than the local high minus the order distance buffer.  The BuyStop order is set to trigger at the level of the local high. o SellStop Order:  A short entry is triggered if the current price is greater than the local low plus the order distance buffer.  The SellStop order is set to trigger at the level of the local low. Note: Orders are only placed if there is no current open position and if the session conditions are met. ________________________________________ Trailing Stop Logic Once a position is open, the strategy monitors profit levels to protect gains: • For Long Positions: o The script calculates the profit as the difference between the current price and the average entry price. o If this profit exceeds the TslTriggerPoints threshold, a trailing stop is applied by placing an exit order. o The stop price is set at a distance below the current price, while a limit (profit target) is also defined. • For Short Positions: o The profit is calculated as the difference between the average entry price and the current price. o A similar trailing stop exit is applied if the profit exceeds the trigger threshold. ________________________________________ Summary In essence, this strategy works by: • Defining entry levels based on recent local highs and lows. • Placing pending stop orders to enter the market when those levels are breached. • Filtering orders by time, ensuring trades are only taken during specified hours. • Implementing a trailing stop mechanism to secure profits once the trade moves favorably. This approach is designed to automate BTC trading based on price action and dynamic risk management, although further enhancements (like dynamic position sizing based on RiskPercent) could be added for a more complete risk management system.
Pine Script®策略
由Buddhika_Trading提供
Adaptive Fibonacci Pullback System -FibonacciFluxAdaptive Fibonacci Pullback System (AFPS) - FibonacciFlux This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Original concepts by FibonacciFlux. Abstract The Adaptive Fibonacci Pullback System (AFPS) presents a sophisticated, institutional-grade algorithmic strategy engineered for high-probability trend pullback entries. Developed by FibonacciFlux, AFPS uniquely integrates a proprietary Multi-Fibonacci Supertrend engine (0.618, 1.618, 2.618 ratios) for harmonic volatility assessment, an Adaptive Moving Average (AMA) Channel providing dynamic market context, and a synergistic Multi-Timeframe (MTF) filter suite (RSI, MACD, Volume). This strategy transcends simple indicator combinations through its strict, multi-stage confluence validation logic. Historical simulations suggest that specific MTF filter configurations can yield exceptional performance metrics, potentially achieving Profit Factors exceeding 2.6 , indicative of institutional-level potential, while maintaining controlled risk under realistic trading parameters (managed equity risk, commission, slippage). 4 hourly MTF filtering 1. Introduction: Elevating Pullback Trading with Adaptive Confluence Traditional pullback strategies often struggle with noise, false signals, and adapting to changing market dynamics. AFPS addresses these challenges by introducing a novel framework grounded in Fibonacci principles and adaptive logic. Instead of relying on static levels or single confirmations, AFPS seeks high-probability pullback entries within established trends by validating signals through a rigorous confluence of: Harmonic Volatility Context: Understanding the trend's stability and potential turning points using the unique Multi-Fibonacci Supertrend. Adaptive Market Structure: Assessing the prevailing trend regime via the AMA Channel. Multi-Dimensional Confirmation: Filtering signals with lower-timeframe Momentum (RSI), Trend Alignment (MACD), and Market Conviction (Volume) using the MTF suite. The objective is to achieve superior signal quality and adaptability, moving beyond conventional pullback methodologies. 2. Core Methodology: Synergistic Integration AFPS's effectiveness stems from the engineered synergy between its core components: 2.1. Multi-Fibonacci Supertrend Engine: Utilizes specific Fibonacci ratios (0.618, 1.618, 2.618) applied to ATR, creating a multi-layered volatility envelope potentially resonant with market harmonics. The averaged and EMA-smoothed result (`smoothed_supertrend`) provides a robust, dynamic trend baseline and context filter. // Key Components: Multi-Fibonacci Supertrend & Smoothing average_supertrend = (supertrend1 + supertrend2 + supertrend3) / 3 smoothed_supertrend = ta.ema(average_supertrend, st_smooth_length) 2.2. Adaptive Moving Average (AMA) Channel: Provides dynamic market context. The `ama_midline` serves as a key filter in the entry logic, confirming the broader trend bias relative to adaptive price action. Extended Fibonacci levels derived from the channel width offer potential dynamic S/R zones. // Key Component: AMA Midline ama_midline = (ama_high_band + ama_low_band) / 2 2.3. Multi-Timeframe (MTF) Filter Suite: An optional but powerful validation layer (RSI, MACD, Volume) assessed on a lower timeframe. Acts as a **validation cascade** – signals must pass all enabled filters simultaneously. 2.4. High-Confluence Entry Logic: The core innovation. A pullback entry requires a specific sequence and validation: Price interaction with `average_supertrend` and recovery above/below `smoothed_supertrend`. Price confirmation relative to the `ama_midline`. Simultaneous validation by all enabled MTF filters. // Simplified Long Entry Logic Example (incorporates key elements) long_entry_condition = enable_long_positions and (low < average_supertrend and close > smoothed_supertrend) and // Pullback & Recovery (close > ama_midline and close > ama_midline) and // AMA Confirmation (rsi_filter_long_ok and macd_filter_long_ok and volume_filter_ok) // MTF Validation This strict, multi-stage confluence significantly elevates signal quality compared to simpler pullback approaches. 1hourly filtering 3. Realistic Implementation and Performance Potential AFPS is designed for practical application, incorporating realistic defaults and highlighting performance potential with crucial context: 3.1. Realistic Default Strategy Settings: The script includes responsible default parameters: strategy('Adaptive Fibonacci Pullback System - FibonacciFlux', shorttitle = "AFPS", ..., initial_capital = 10000, // Accessible capital default_qty_type = strategy.percent_of_equity, // Equity-based risk default_qty_value = 4, // Default 4% equity risk per initial trade commission_type = strategy.commission.percent, commission_value = 0.03, // Realistic commission slippage = 2, // Realistic slippage pyramiding = 2 // Limited pyramiding allowed ) Note: The default 4% risk (`default_qty_value = 4`) requires careful user assessment and adjustment based on individual risk tolerance. 3.2. Historical Performance Insights & Institutional Potential: Backtesting provides insights into historical behavior under specific conditions (always specify Asset/Timeframe/Dates when sharing results): Default Performance Example: With defaults, historical tests might show characteristics like Overall PF ~1.38, Max DD ~1.16%, with potential Long/Short performance variance (e.g., Long PF 1.6+, Short PF < 1). Optimized MTF Filter Performance: Crucially, historical simulations demonstrate that meticulous configuration of the MTF filters (particularly RSI and potentially others depending on market) can significantly enhance performance. Under specific, optimized MTF filter settings combined with appropriate risk management (e.g., 7.5% risk), historical tests have indicated the potential to achieve **Profit Factors exceeding 2.6**, alongside controlled drawdowns (e.g., ~1.32%). This level of performance, if consistently achievable (which requires ongoing adaptation), aligns with metrics often sought in institutional trading environments. Disclaimer Reminder: These results are strictly historical simulations. Past performance does not guarantee future results. Achieving high performance requires careful parameter tuning, adaptation to changing markets, and robust risk management. 3.3. Emphasizing Risk Management: Effective use of AFPS mandates active risk management. Utilize the built-in Stop Loss, Take Profit, and Trailing Stop features. The `pyramiding = 2` setting requires particularly diligent oversight. Do not rely solely on default settings. 4. Conclusion: Advancing Trend Pullback Strategies The Adaptive Fibonacci Pullback System (AFPS) offers a sophisticated, theoretically grounded, and highly adaptable framework for identifying and executing high-probability trend pullback trades. Its unique blend of Fibonacci resonance, adaptive context, and multi-dimensional MTF filtering represents a significant advancement over conventional methods. While requiring thoughtful implementation and risk management, AFPS provides discerning traders with a powerful tool potentially capable of achieving institutional-level performance characteristics under optimized conditions. Acknowledgments Developed by FibonacciFlux. Inspired by principles of Fibonacci analysis, adaptive averaging, and multi-timeframe confirmation techniques explored within the trading community. Disclaimer Trading involves substantial risk. AFPS is an analytical tool, not a guarantee of profit. Past performance is not indicative of future results. Market conditions change. Users are solely responsible for their decisions and risk management. Thorough testing is essential. Deploy at your own considered risk.
Pine Script®策略
由FibonacciFlux提供