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Triple Supertrend Strategy [Running]Triple Supertrend Trend Follower Overview The Triple Supertrend Trend Follower is a robust trend-following strategy designed to capture significant market upswings while filtering out noise and sideways choppy markets. By leveraging the confluence of three distinct Supertrend indicators with varying sensitivities , this strategy ensures that Long positions are only entered when the trend is confirmed across multiple volatility baselines. Unlike simple moving average strategies, this script features an Advanced Money Management System. It dynamically calculates position sizing based on a fixed risk percentage per trade relative to your account equity, ensuring consistent risk control. Furthermore, it utilizes a unique Median Line trailing stop mechanism to prevent premature stop-outs caused by market whipsaws. Unique Features * Triple Confirmation Logic: Filters false signals by requiring alignment of three Supertrend indicators (Fast, Medium, Slow). * Dynamic Median Trailing Stop: Instead of using the tightest stop-loss level, the strategy calculates the median value of the three Supertrends. This provides a breathing room buffer for the price, significantly reducing the chance of being stopped out by temporary wicks (whipsaws). * Professional Money Management: Users can define a fixed Risk Percentage (e.g., 2%) per trade. The script automatically calculates the exact position size based on the distance to the stop-loss. * Safety Mechanism (Max Leverage): Includes a Max Leverage Limit feature to prevent order rejections or excessive exposure when the stop-loss is extremely tight. * Intra-bar Execution: Stops are executed immediately when the price touches the level, not waiting for the candle close. Methodology The strategy operates on a logical flow designed to maximize trend participation: 1. Trend Identification: The script calculates three Supertrend lines using the same ATR period (Default: 10) but different multipliers (Factors: 1, 2, and 3). 2. Entry Condition: A Long position is opened only when all three Supertrends are Green (Bullish). This indicates strong momentum across short, medium, and long-term volatility ranges. 3. Stop-Loss Placement: The Stop Loss is set at the Median value of the three Supertrend lines. This acts as a dynamic trailing stop that moves up with the price. 4. Position Sizing: Before entry, the script calculates the entry quantity based on Account Equity, Risk %, and the distance between Current Close and the Stop Level. If the calculated quantity exceeds the user-defined Max Leverage, it is capped to ensure safety. 5. Exit Logic: The position is held as long as the price remains above the median Supertrend line. If the price touches this line, the position is immediately liquidated. Justification of Methodology Why use three Supertrends? A single Supertrend often generates false signals in ranging markets. By requiring a Factor 1 (Fast), Factor 2 (Medium), and Factor 3 (Slow) alignment, the strategy filters out weak trends. The Median Stop Loss Advantage: In aggressive trends, the Factor 1 Supertrend hugs the price very tightly. Using this as a stop loss often results in exiting a massive trend too early due to a single volatility spike. By using the Median (Factor 2 equivalent in most cases) as the stop loss, the strategy allows for natural market retracements without losing the position, aiming to ride the trend until a structural break occurs. Risk Management: The most critical part of trading is capital preservation. This strategy does not use fixed lot sizes. Whether the stop loss is 1% away or 10% away, you will risk the same percentage of your account (e.g., 2%). This stabilizes the equity curve and allows for geometric compounding. Strategy Settings Users can fully customize the strategy via the inputs menu: * Money Management: Risk % per Trade (Default: 2.0%) and Max Leverage (Default: 5x). * Supertrend Settings: Adjust the ATR Period and Factor for all three Supertrends to fit different assets (Crypto, Forex, Stocks). Disclaimer This script is for educational purposes only. Past performance does not guarantee future results. The built-in money management and leverage settings should be tested in a simulated environment before being used with real capital. Always consider slippage and commission fees. --------------------------------------------------------------------------------------------------------------------- ํŠธ๋ฆฌํ”Œ ์ŠˆํผํŠธ๋ Œ๋“œ & ์ž๊ธˆ ๊ด€๋ฆฌ ์ „๋žต (Triple Supertrend Trend Follower) ๊ฐœ์š” ์ด ์ „๋žต์€ 3๊ฐœ์˜ ์„œ๋กœ ๋‹ค๋ฅธ ์ŠˆํผํŠธ๋ Œ๋“œ ์ง€ํ‘œ๋ฅผ ๊ฒฐํ•ฉํ•˜์—ฌ ์‹ ๋ขฐ๋„ ๋†’์€ ์ƒ์Šน ์ถ”์„ธ๋ฅผ ํฌ์ฐฉํ•˜๋Š” ์ „๋žต์ž…๋‹ˆ๋‹ค. ํšก๋ณด์žฅ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์žฆ์€ ์†์‹ค์„ ์ค„์ด๊ณ , ๊ฐ•๋ ฅํ•œ ์ถ”์„ธ๊ฐ€ ๋ฐœ์ƒํ–ˆ์„ ๋•Œ ๋๊นŒ์ง€ ์ˆ˜์ต์„ ๊ฐ€์ ธ๊ฐ€๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ์ „๋ฌธ ํŠธ๋ ˆ์ด๋”๋“ค์ด ์‚ฌ์šฉํ•˜๋Š” ๋ฆฌํฌ์Šค ํผ์„ผํŠธ ๊ธฐ๋ฐ˜ ์ž๊ธˆ ๊ด€๋ฆฌ ์‹œ์Šคํ…œ์ด ํƒ‘์žฌ๋˜์–ด ์žˆ์–ด ์•ˆ์ „ํ•œ ์ž์‚ฐ ์šด์šฉ์„ ๋•์Šต๋‹ˆ๋‹ค. ์ฃผ์š” ํŠน์ง• 3์ค‘ ํ•„ํ„ฐ ์‹œ์Šคํ…œ: ๋‹จ๊ธฐ, ์ค‘๊ธฐ, ์žฅ๊ธฐ ์„ฑํ–ฅ์˜ ์ŠˆํผํŠธ๋ Œ๋“œ๊ฐ€ ๋ชจ๋‘ ์ƒ์Šน์„ ๊ฐ€๋ฆฌํ‚ฌ ๋•Œ๋งŒ ๋งค์ˆ˜ํ•˜์—ฌ ์Šน๋ฅ ์„ ๋†’์ž…๋‹ˆ๋‹ค. ์—ฌ์œ  ์žˆ๋Š” ์†์ ˆ ๋ผ์ธ(์ค‘๊ฐ„๊ฐ’): ๊ฐ€์žฅ ํƒ€์ดํŠธํ•œ ์†์ ˆ์„ ์„ ์“ฐ์ง€ ์•Š๊ณ , 3๊ฐœ์˜ ์„  ์ค‘ ์ค‘๊ฐ„๊ฐ’์„ ์†์ ˆ ๊ธฐ์ค€์œผ๋กœ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋•๋ถ„์— ์ผ์‹œ์ ์ธ ๊ฐ€๊ฒฉ ํ”๋“ค๋ฆผ(ํœฉ์†Œ)์— ์‰ฝ๊ฒŒ ํ„ธ๋ฆฌ์ง€ ์•Š๊ณ  ์ถ”์„ธ๋ฅผ ๊ธธ๊ฒŒ ๊ฐ€์ ธ๊ฐˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ž๋™ ์ž๊ธˆ ๊ด€๋ฆฌ: ์†์ ˆ ๊ฑฐ๋ฆฌ์— ๋”ฐ๋ผ ๋งค์ˆ˜ ์ˆ˜๋Ÿ‰์„ ์ž๋™์œผ๋กœ ๊ณ„์‚ฐํ•ฉ๋‹ˆ๋‹ค. ์†์ ˆ์ด ๋ฉ€๋ฉด ์ ๊ฒŒ ์‚ฌ๊ณ , ๊ฐ€๊นŒ์šฐ๋ฉด ๋งŽ์ด ์‚ฌ์„œ ํ•ญ์ƒ ๋‚ด ์‹œ๋“œ์˜ ์ผ์ • ๋น„์œจ(๊ธฐ๋ณธ 2%)๋งŒ ๋ฆฌ์Šคํฌ์— ๋…ธ์ถœ์‹œํ‚ต๋‹ˆ๋‹ค. ๋ ˆ๋ฒ„๋ฆฌ์ง€ ์•ˆ์ „์žฅ์น˜: ์†์ ˆ์ด ๋„ˆ๋ฌด ๊ฐ€๊นŒ์›Œ ๋ ˆ๋ฒ„๋ฆฌ์ง€๊ฐ€ ๊ณผ๋„ํ•˜๊ฒŒ ๋†’์•„์ง€๋Š” ๊ฒƒ์„ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ์ตœ๋Œ€ ๋ ˆ๋ฒ„๋ฆฌ์ง€ ์ œํ•œ ๊ธฐ๋Šฅ์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋งค๋งค ๋ฐฉ๋ฒ• ์ง„์ž…: 3๊ฐœ์˜ ์ŠˆํผํŠธ๋ Œ๋“œ๊ฐ€ ๋ชจ๋‘ ์ดˆ๋ก์ƒ‰(์ƒ์Šน)์ผ ๋•Œ ๋กฑ ํฌ์ง€์…˜์— ์ง„์ž…ํ•ฉ๋‹ˆ๋‹ค. ์†์ ˆ ๋ฐ ์ฒญ์‚ฐ: ๊ฐ€๊ฒฉ์ด ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ŠˆํผํŠธ๋ Œ๋“œ์˜ ์ค‘๊ฐ„๊ฐ’ ๋ผ์ธ์„ ๊ฑด๋“œ๋ฆฌ๋ฉด ์ฆ‰์‹œ ์ฒญ์‚ฐํ•ฉ๋‹ˆ๋‹ค(์ข…๊ฐ€ ๋งˆ๊ฐ ๋Œ€๊ธฐ ์•„๋‹˜). ๋ณ„๋„์˜ ์ต์ ˆ ๋ชฉํ‘œ๊ฐ€๋Š” ์—†์œผ๋ฉฐ ์ถ”์„ธ๊ฐ€ ๊บพ์ผ ๋•Œ๊นŒ์ง€ ํฌ์ง€์…˜์„ ์œ ์ง€ํ•ฉ๋‹ˆ๋‹ค. ์„ค์ • ๊ฐ€์ด๋“œ ์ „๋žต ์„ค์ • ๋ฉ”๋‰ด์—์„œ ๋‹ค์Œ ํ•ญ๋ชฉ์„ ์ž์œ ๋กญ๊ฒŒ ๋ณ€๊ฒฝํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ž๊ธˆ ๊ด€๋ฆฌ: 1ํšŒ ๊ฑฐ๋ž˜๋‹น ๊ฐ์ˆ˜ํ•  ๋ฆฌ์Šคํฌ ๋น„์œจ(Risk %), ์ตœ๋Œ€ ํ—ˆ์šฉ ๋ ˆ๋ฒ„๋ฆฌ์ง€(Max Leverage) ์ŠˆํผํŠธ๋ Œ๋“œ: ๊ฐ 3๊ฐœ ๋ผ์ธ์˜ ATR ๊ธฐ๊ฐ„๊ณผ ๊ณ„์ˆ˜(Factor) ์ฃผ์˜์‚ฌํ•ญ ์ด ์Šคํฌ๋ฆฝํŠธ๋Š” ๊ต์œก ๋ฐ ์ฐธ๊ณ ์šฉ์ž…๋‹ˆ๋‹ค. ๊ณผ๊ฑฐ์˜ ์ˆ˜์ต์ด ๋ฏธ๋ž˜๋ฅผ ๋ณด์žฅํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์‹ค์ „ ๋งค๋งค ์ „ ๋ฐ˜๋“œ์‹œ ๋ชจ์˜ ํˆฌ์ž๋ฅผ ํ†ตํ•ด ์ถฉ๋ถ„ํžˆ ๊ฒ€์ฆํ•˜์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
Strategi Pine Scriptยฎ
oleh hamsung
1
40 SMA Scaling StrategyThis trend-following strategy focuses on capturing momentum when price breaks above the 40-period Simple Moving Average (SMA) while utilizing a systematic scale-out (Take Profit) approach to lock in gains during extended runs. Strategy Logic Entry: Opens a Long position with 100% of current equity when the price closes above the 40 SMA. This ensures maximum capital efficiency at the start of a new perceived trend. Scaling Take Profits: To reduce risk as the trade progresses, the strategy automatically closes 25% of the initial position for every 1% increase in price from the entry point. Exit: The entire remaining position is closed immediately if the price closes below the 40 SMA, acting as a trailing stop that adapts to the moving average. Key Features Capital-Efficient: Starts with a full account allocation to maximize exposure to the initial breakout. Systematic De-risking: By scaling out in 25% increments, the strategy banks profits early while leaving a portion of the trade active for potential "moon shots." Trend-Following Exit: Uses a classic SMA filter to exit, aiming to stay in the trade as long as the medium-term trend remains bullish.
Strategi Pine Scriptยฎ
oleh myers2115
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer) Overview This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable. Core idea (Percent โ†’ Tick conversion) strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss). This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes. //==What it provides==// 1. % โ†’ tick conversion for: - Fixed stop loss (loss) - Trailing activation distance (trail_points) - Trailing offset distance (trail_offset) 2. On-chart visualization: - Entry average price - Trailing activation threshold - Fixed stop-loss line - Trailing stop line (with an exit-bar alignment attempt to reduce gaps) //==How to use==// 1. Keep the included MA crossover entries, or replace them with your own entries. 2. Configure: - Fixed Stop Loss % (loss_pct) - Trailing Activation % (t_points_pct) - Trailing Offset % (t_offset_pct) 3. Adjust commission/slippage defaults to match your market. //==Important limitations (must read)==// - calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload. - Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level. - For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available). # Average Entry Price (Basis): "Calculations are based on the position's average entry price (strategy.position_avg_price)." # Pine Script v6: "Written in the latest Pine Script v6." ์š”์•ฝ ์ด ์Šคํฌ๋ฆฝํŠธ์˜ ํ•ต์‹ฌ์€ โ€œ์ง„์ž… ์ „๋žตโ€์ด ์•„๋‹ˆ๋ผ **strategy.exit()์˜ tick ๊ธฐ๋ฐ˜ ํŠธ๋ ˆ์ผ๋ง ํŒŒ๋ผ๋ฏธํ„ฐ๋ฅผ % ์ž…๋ ฅ์œผ๋กœ ์ผ๋ฐ˜ํ™”(%โ†’ticks ๋ณ€ํ™˜)**ํ•˜์—ฌ, ๋‹ค์–‘ํ•œ ์‹ฌ๋ณผ/๊ฑฐ๋ž˜์†Œ์˜ ์„œ๋กœ ๋‹ค๋ฅธ tick size ํ™˜๊ฒฝ์—์„œ๋„ ๋™์ผํ•œ exit ๋กœ์ง์„ ์žฌ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋งŒ๋“  โ€œ์ฒญ์‚ฐ ํ”„๋ ˆ์ž„์›Œํฌโ€์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ calc_on_every_tick=true ํ™˜๊ฒฝ์—์„œ ํŠธ๋ฆฌ๊ฑฐ/์†์ ˆ/ํŠธ๋ ˆ์ผ ๋ผ์ธ์„ ์‹ค์‹œ๊ฐ„์— ๊ฐ€๊น๊ฒŒ ์‹œ๊ฐํ™”ํ•˜๋Š” ๋ฐ ์ค‘์ ์„ ๋‘์—ˆ์Šต๋‹ˆ๋‹ค. ๋‹จ, calc_on_every_tick์€ ์‹ค์‹œ๊ฐ„ ๋ฐ”์—์„œ๋งŒ ํ‹ฑ ๋‹จ์œ„ ์žฌ๊ณ„์‚ฐ์ด ์ ์šฉ๋˜๋ฉฐ, ํžˆ์Šคํ† ๋ฆฌ ๋ฐ”/๋ฐฑํ…Œ์ŠคํŠธ๋Š” ํ‰๊ฐ€ ๋ฐฉ์‹์ด ๋‹ฌ๋ผ ๊ฒฐ๊ณผ๊ฐ€ ๋‹ค๋ฅผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
Strategi Pine Scriptยฎ
oleh surirang
Slope Color Transition Strategy1: uses a drop-down selection time series datapoints option with the default set using line graph mode on optimized settings for 1D 2: when the line between the previous datapoint and the current datapoint is an upward slant the color is green 3: when the line between the previous datapoint and the current datapoint is a downward slant the color is red 4: when the line between the previous datapoint and the current datapoint is a flat line the color should be the same color as the previous line 5: when the previous line is red and the new line is green then close any open SELL trade then place a BUY trade 6: when the previous line is green and the new line is red then close any open BUY trade then place a SELL trade
Strategi Pine Scriptยฎ
oleh nirunyindeeamornchai
SMAcross-mvrOverview SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting. It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging. ๐Ÿš€ Whatโ€™s New in v2 โœ… Multiple Entry Modes You can now choose how trades are entered: Entry Mode A: Short SMA crosses Long SMA Entry Mode B: Price crosses Long SMA This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy. โœ… Modular Exit System (Checkbox-Based) Exit logic is now fully modular using independent checkboxes: โ˜‘ Exit on opposite signal โ˜‘ Exit when price closes beyond Short SMA You may enable one, both, or neither. If both are enabled, the strategy exits on whichever condition occurs first. โœ… Terminology Clarity All labels, inputs, and alerts now use semantic naming: Short SMA (formerly 13 SMA) Long SMA (formerly 30 SMA) This makes the strategy easier to understand and future-proof if SMA lengths are changed. โœ… Full-Capital Position Sizing Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests. โœ… Optional Visual Enhancements Optional cross price labels (can be toggled on/off) Color-filled zone between Short and Long SMAs for quick trend recognition Optional 200 SMA (off by default) for higher-timeframe context โœ… Alert-Ready (TV-Safe) All alerts use static messages compatible with TradingViewโ€™s alert system, making the strategy suitable for: Manual trade notifications Webhook-based automation Broker integrations ๐Ÿ”’ Design Principles No repainting No line continuations (TradingView-safe formatting) Stable behavior when zooming or scrolling Clear separation of entry logic, exit logic, and visuals โš ๏ธ Notes This script is intended for educational and research purposes. Always forward-test and apply proper risk management before live trading.
Strategi Pine Scriptยฎ
oleh vmedaram1
6
ETH Vol Breakout - NO ERROR VERSIONThis strategy examines the impact of Eth.d Vol on Ethereum price. Looking at ETHDVOL -60 (Support) and 78 (Resistance)โ€”tell a very specific story - analyzing a High Volatility Regime. The support level around 60 and resistance 78, tend to only occurs during Bull Runs or Market Crashes. In the "Quiet Years", ETHDVOL rarely touched 60, let alone 78. Trying to develop a strategy that is perfectly tuned for a Bull Market or a Crisis, 1. The "60 Floor" (Support) Context: In a high-volatility regime, when ETHDVOL drops to 60, it indicates the market has "cooled off" just enough to reload leverage. Historical Behavior (2021-2022 Context): July 2021: After the May crash, ETHDVOL compressed down and found support at ~65. Result: This marked the local bottom before the massive run-up to the November All-Time Highs ($4,800). Outcome: Strong Buy Signal (Trend Continuation). January 2022: ETHDVOL dropped to ~58-60 while price was hovering around $3,000. Result: The floor broke, volatility spiked to 80+, and price crashed to $2,200. Outcome: Trap / Warning Signal. The Pattern: When Volatility hits 60 (Support), price is usually Coiling. If Price is trending UP: This is a "dip buy" opportunity. The coil resolves upwards. If Price is trending DOWN: This is the "calm before the flush." The coil resolves downwards. 2. The "78 Ceiling" (Resistance) Context: 78 is an extreme reading. It represents panic (bottom) or euphoria (blow-off top). Historical Behavior: May 2021 (The Crash): ETHDVOL smashed through 78, peaking at 100+. Price Action: Price collapsed from $4,000 to $1,700. Signal: If Vol > 78, you are in a capitulation event. Buying spot here is usually profitable within 3-6 months (buying the blood). November 2022 (FTX Collapse): ETHDVOL spiked to ~75-80. Price Action: ETH hit $1,100 (Cycle Lows). Signal: Hitting 78 marked the Absolute Bottom. November 2021 (The Top): Interestingly, at the $4,800 price peak, Volatility was NOT at 78. It was lower (~60-70). Insight: Bull market tops often happen on lower volatility than bear market bottoms.
Strategi Pine Scriptยฎ
oleh chart_inator
Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset. The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based โ€” no indicators, no predictions, no discretionary input. Key Features Asset-specific seasonal windows (MMDD-based) Automatic long and short activation Fully time-based entries and exits One position at a time (no pyramiding) Clean chart visualization using subtle background shading No indicators, no filters, no curve fitting Philosophy: This strategy is designed as a structural trading tool, not a forecasting model. It focuses on when a market historically shows seasonal tendencies โ€” not why or how far price might move. Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions. Intended Use: Futures and commodity markets Seasonality research and testing Systematic, calendar-driven strategies Educational and analytical purposes Disclaimer This script is provided for educational and research purposes only. Past seasonal tendencies do not guarantee future performance. Risk management, position sizing, and portfolio decisions are the responsibility of the user.
Strategi Pine Scriptยฎ
oleh DerAndi72
The Samurai by MonedaFX (Beta)๐Ÿฅท๐ŸŸช The Samurai By MonedaFX "The Samurai By MonedaFX" indicator a cutting-edge trading strategy designed to help traders identify precise trades within the markets. Developed exclusively for Moneda Lifestyle LTD, this indicator offers clear entry and exit logic along with stop-loss (SL) and take-profit (TP) templates, enabling traders to practice trading effectively and simplify their trading plan. ๐Ÿ”‘ Key Features: - Trade Generation: Accurately identifies and plots potential buy and sell opportunities following the pre-determined strategy. - Risk Management: Automatically calculates and displays the stop-loss levels for each trade following the pre-determined strategy. - Visual Aids: Incorporates graphical buy/sell plots for clear visualisation of every trade. ๐ŸŒ Visit us at: monedafx.com --- How to Use the The Samurai By MonedaFX 1๏ธโƒฃ ๐Ÿ“– Add the Indicator to Your Chart: - Open your TradingView chart. - Click on "Indicators" at the top of the screen. - Search for "The Samurai By MonedaFX" and add it to your chart. 2๏ธโƒฃ โš™๏ธ Select the correct timeframe & pair: - Choose the 5 minute timeframe. - Select one of the approved pairs. 3๏ธโƒฃ ๐Ÿšฆ Follow the strategy: - Be active inside the MonedaFX Discord Community. - Watch the full video course on how to use this strategy to it's maximum potential! --- โ— Important Information โ— # The Samurai By MonedaFX ๐Ÿ“ฒ Contact Information - Email: info@monedafx.com - Phone: +44 7367 106550 - Website: monedafx.com
Strategi Pine Scriptยฎ
oleh EGW_TRADES
Liquidity Areas StrategyBeschreibung (EN + DE): English Liquidity Areas Strategy (HTF Fractals + MA Reversal) This strategy marks higher-timeframe fractal levels (pivot highs/lows) as potential liquidity areas and trades a reversal after a break. How it works HTF fractal levels are drawn as horizontal lines until the first break (Close or Wick โ€“ selectable). A setup is only valid if the break happens during the selected trading session (Europe/Zurich/Berlin). After the break, the strategy waits for a moving-average reversal confirmation (cross + close). Entry is placed at the open of the next candle (orders are not processed on close). Risk is defined as a percentage of equity per trade, with take profit based on a fixed RR. SL/TP lines and trade boxes can be shown for visual review. Notes Educational / training use only. Not financial advice. Results depend on symbol, timeframe, spread/fees, and execution assumptions.
Strategi Pine Scriptยฎ
oleh Spacemelody777
Gold DipperDescription: The Gold Dipper is not just a simple EMA crossover; it is a comprehensive trend-following system designed to filter out market noise and capture entries during price retracements. How the logic works together: Trend Confirmation: The script utilizes a dual-layered filtering process. It compares the interaction between a fast-response EMA (20) and a baseline EMA (50) to establish the primary trend direction. Volume/Momentum Filter (The "Dip" Detection): The script identifies a "Dip" by monitoring price action proximity to the baseline. A signal is only triggered when price 'kisses' the EMA 20 zone while the 50 EMA slope remains positive, ensuring we are not catching a falling knife but buying a controlled pullback. Dynamic Risk Control: Unlike standard static SL/TP, this script calculates exit points based on recent Swing Lows/Highs within a specific look-back period, allowing the stop loss to adapt to current market volatility (ATR-like behavior). Why this Mashup is Useful: This script solves the "Late Entry" problem common in crossover strategies. By merging trend detection with a precise pullback trigger and dynamic risk levels, it provides a complete trading plan in one tool, reducing the need for multiple cluttered indicators. How to Use: Best for XAUUSD on 15M. Wait for the background/trend color to confirm an uptrend. Execute when the "Buy" label appears at the touch of the EMA 20 line.
Strategi Pine Scriptยฎ
oleh FU2024
EMA and Dow Theory Strategies V2 DOGE Current Optimum Value ๐Ÿ“˜ Overview These are the current optimal values for DOGE. They are intended for use on the 2โ€‘hour timeframe. This script requires complex configuration, but there is an optimal set of values somewhere. Here, Iโ€™m sharing the settings that I personally use at the moment. Turning Take Profit off can lead to higher profits, but it also increases risks such as a lower win rate. With Take Profit on, you can adjust the settings by increasing the values. I have been trading using Dow Theory for many years. Trading with Dow Theory and EMA has been my main strategy. Although it has been profitable, I have long struggled with its low win rate. The issue lies in the immaturity of the exit strategy, and Iโ€™m currently experimenting to see if I can solve that. In V2, I added three takeโ€‘profit lines, securing 30% of the profit at each level to ensure a minimum level of gain. Additionally, when the trend weakens, half of the position is closed. In all scenarios, the remaining position is held until the trend reverses. The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance. ๐Ÿง  Key Features ๐Ÿ”น 1. Dualโ€‘EMA Trend Logic (Symbol + External Index) Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlationโ€‘based trend bias. ๐Ÿ”น 2. Dow Theory Swing Detection (Realโ€‘time) The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone. ๐Ÿ”น 3. Gradient Trend Zones (Visual Trend Strength) When trend is up or down, the area between price and the latest swing level is filled with a multiโ€‘step gradient. This makes trend strength and distance-to-structure visually intuitive. ๐Ÿ”น 4. Higherโ€‘Timeframe Swing Trend (htfTrend) Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries. ๐Ÿ”น 5. RSIโ€‘Based Entry Protection RSI prevents entries during extreme overbought/oversold conditions. ๐Ÿ”น 6. Dynamic Exit System Includes: Custom stopโ€‘loss (%) Partial takeโ€‘profit (TP1/TP2/TP3) Automatic scaleโ€‘out when trend color weakens โ€œColorโ€‘change lockoutโ€ to prevent immediate reโ€‘entry Realโ€‘time PnL tracking and labels ๐Ÿ”น 7. Alerts for All Key Events Entry, stopโ€‘loss, partial exits, and trendโ€‘change exits all generate structured JSON alerts. ๐Ÿ”น 8. Visual PnL Labels & Equity Tracking PnL for the latest trade is displayed directly on the chart, including scaleโ€‘out adjustments. โš™๏ธ Input Parameters Parameter Description Fast EMA / Slow EMA EMAs used for symbol trend detection Index Fast / Slow EMA EMAs applied to external index StopLoss (%) Custom stopโ€‘loss threshold Scaleโ€‘Out % Portion to exit when trend color weakens RSI Period / Levels Overbought/oversold filters Swing Detection Length Bars used to detect swing highs/lows Stats Display Position of statistics table ๐Ÿงญ About htfTrend (Higher Timeframe Trend) The higherโ€‘timeframe swing trend is displayed visually but not used for entry logic. Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visualโ€‘only, traders retain flexibility while still benefiting from macro structure awareness. Use it as a contextual guide, not a constraint. ๐Ÿ“˜ ๆฆ‚่ฆ DOGEใฎ็พๅœจใฎๆœ€้ฉๅ€คใงใ™ใ€‚ 2ๆ™‚้–“่ถณใงใฎไฝฟ็”จใ‚’ๆƒณๅฎšใ—ใฆใ„ใพใ™ใ€‚ ใ“ใฎใ‚นใ‚ฏใƒชใƒ—ใƒˆใฏ่ค‡้›‘ใช่จญๅฎšใŒๅฟ…่ฆใงใ™ใŒใ€ใฉใ“ใ‹ใซๆœ€้ฉๅ€คใŒๅญ˜ๅœจใ—ใพใ™ใ€‚ ไปŠๅ›žใฏ็พๅœจ็งใŒๅ€‹ไบบ็š„ใซไฝฟใฃใฆใ„ใ‚‹่จญๅฎšๅ€คใฎๅ…ฌ้–‹ใงใ™ใ€‚ Take Profitใ‚’OFFใซใ™ใ‚‹ใจใ•ใ‚‰ใชใ‚‹ๅˆฉ็›ŠใŒๆœ›ใ‚ใพใ™ใŒใ€ๅ‹็Ž‡ใŒไธ‹ใŒใ‚‹ใชใฉใฎใƒชใ‚นใ‚ฏใŒไธŠใŒใ‚Šใพใ™ใ€‚ ONใซใ—ใŸ็Šถๆ…‹ใงๆ•ฐๅ€คใ‚’ไธŠใ’ใ‚‹ใ“ใจใซใ‚ˆใฃใฆ่ชฟๆ•ดใ™ใ‚‹ใ“ใจใŒๅฏ่ƒฝใงใ™ใ€‚ ็งใฏใƒ€ใ‚ฆ็†่ซ–ใ‚’ไฝฟใฃใŸใƒˆใƒฌใƒผใƒ‰ใ‚’้•ทๅนด็ถšใ‘ใฆใใพใ—ใŸใ€‚ ใƒ€ใ‚ฆ็†่ซ–ใจEMAใ‚’ไฝฟใฃใŸใƒˆใƒฌใƒผใƒ‰ใŒ็งใฎไธปๅŠ›ใงใ™ใ€‚ ใ—ใ‹ใ—ๅˆฉ็›Šใฏๅ‡บใ‚‹ใ‚‚ใฎใฎใ€้•ทๅนดใใฎๅ‹็Ž‡ใฎไฝŽใ•ใซๆ‚ฉใ‚“ใงใ„ใพใ—ใŸใ€‚ ๅ•้กŒใฏๅ‡บๅฃๆˆฆ็•ฅใŒๆœช็†ŸใชใŸใ‚ใงใ€็พๅœจใฏใใ‚Œใ‚‰ใฎ่งฃๆฑบใŒใงใใชใ„ใ‹ใจ่ฉฆ่กŒ้Œฏ่ชคใ‚’็ถšใ‘ใฆใ„ใพใ™ใ€‚ V2ใงใฏ3ๆœฌใฎๅˆฉ็›Š็ขบๅฎšใƒฉใ‚คใƒณใ‚’ๅผ•ใใ€ใใ‚Œใžใ‚Œ30%ใšใคๅˆฉ็›Šใ‚’็ขบๅฎšใ—ใ€ๆœ€ไฝŽ้™ใฎๅˆฉ็›ŠใŒใงใ‚‹ใ‚ˆใ†ใซใ—ใพใ—ใŸใ€‚ ใใ‚Œไปฅๅค–ใซใฏใƒˆใƒฌใƒณใƒ‰ใŒๅผฑใพใฃใŸใ‚ฟใ‚คใƒŸใƒณใ‚ฐใงๅŠๅˆ†ใฎๅˆฉ็›Š็ขบๅฎšใ‚’ใ—ใ€ใฉใฎใƒ‘ใ‚ฟใƒผใƒณใงใ‚‚ๆฎ‹ใฃใŸใƒใ‚ธใ‚ทใƒงใƒณใฏใƒˆใƒฌใƒณใƒ‰่ปขๆ›ใพใงๆŒใก็ถšใ‘ใพใ™ใ€‚ ๐Ÿง  ไธปใชๆฉŸ่ƒฝ ๐Ÿ”น 1. ้Š˜ๆŸ„๏ผ‹ๅค–้ƒจใ‚คใƒณใƒ‡ใƒƒใ‚ฏใ‚นใฎ EMA ใ‚ฏใƒญใ‚นๅˆคๅฎš ๅฏพ่ฑก้Š˜ๆŸ„ใจ OTHERS.D ใฎ EMA ใ‚’ๆฏ”่ผƒใ—ใ€็›ธ้–ขใ‚’่€ƒๆ…ฎใ—ใŸใƒˆใƒฌใƒณใƒ‰ๆ–นๅ‘ใ‚’ๅˆคๅฎšใ—ใพใ™ใ€‚ ๐Ÿ”น 2. ใƒ€ใ‚ฆ็†่ซ–ใซๅŸบใฅใใ‚นใ‚คใƒณใ‚ฐ้ซ˜ๅ€คใƒปๅฎ‰ๅ€คใฎ่‡ชๅ‹•ๆคœๅ‡บ ใ‚นใ‚คใƒณใ‚ฐๆ›ดๆ–ฐใซใ‚ˆใ‚Šใƒˆใƒฌใƒณใƒ‰ๆ–นๅ‘ใ‚’ๅˆ‡ใ‚Šๆ›ฟใˆใ‚‹ใ€ๆง‹้€ ใƒ™ใƒผใ‚นใฎใƒˆใƒฌใƒณใƒ‰ๅˆคๅฎšใ‚’ๆŽก็”จใ€‚ ๐Ÿ”น 3. ใ‚ฐใƒฉใƒ‡ใƒผใ‚ทใƒงใƒณ่ƒŒๆ™ฏใซใ‚ˆใ‚‹ใƒˆใƒฌใƒณใƒ‰ๅผทๅบฆใฎๅฏ่ฆ–ๅŒ– ใ‚นใ‚คใƒณใ‚ฐใƒฉใ‚คใƒณใ‹ใ‚‰็พๅœจไพกๆ ผใพใงใ‚’ๆฎต้šŽ็š„ใซๅก—ใ‚Šๅˆ†ใ‘ใ€ ใ€Œใฉใ‚Œใ ใ‘ใƒˆใƒฌใƒณใƒ‰ใŒไผธใณใฆใ„ใ‚‹ใ‹ใ€ใ‚’็›ดๆ„Ÿ็š„ใซๆŠŠๆกใงใใพใ™ใ€‚ ๐Ÿ”น 4. ไธŠไฝ่ถณใ‚นใ‚คใƒณใ‚ฐใƒˆใƒฌใƒณใƒ‰๏ผˆhtfTrend๏ผ‰ใฎ่กจ็คบ 4H ใชใฉใฎไธŠไฝ่ถณใงใฎใ‚นใ‚คใƒณใ‚ฐ้ซ˜ๅ€คใƒปๅฎ‰ๅ€คใ‚’่กจ็คบใ—ใ€ ๅคงๅฑ€็š„ใชใƒˆใƒฌใƒณใƒ‰ๆง‹้€ ใ‚’่ฆ–่ฆš็š„ใซๆŠŠๆกใงใใพใ™๏ผˆใƒญใ‚ธใƒƒใ‚ฏใซใฏๆœชไฝฟ็”จ๏ผ‰ใ€‚ ๐Ÿ”น 5. RSI ใซใ‚ˆใ‚‹้Ž็†ฑใƒปๅฃฒใ‚‰ใ‚Œใ™ใŽใƒ•ใ‚ฃใƒซใ‚ฟใƒผ ๆฅต็ซฏใช RSI ็Šถๆ…‹ใงใฎใ‚จใƒณใƒˆใƒชใƒผใ‚’้˜ฒๆญขใ€‚ ๐Ÿ”น 6. ๅ‹•็š„ใ‚คใ‚ฐใ‚ธใƒƒใƒˆใ‚ทใ‚นใƒ†ใƒ  ใ‚ซใ‚นใ‚ฟใƒ ๆๅˆ‡ใ‚Š๏ผˆ๏ผ…๏ผ‰ TP1/TP2/TP3 ใฎๆฎต้šŽ็š„ๅˆฉ็ขบ ใƒˆใƒฌใƒณใƒ‰่‰ฒใฎๅผฑใพใ‚Šใซใ‚ˆใ‚‹่‡ชๅ‹•ใ‚นใ‚ฑใƒผใƒซใ‚ขใ‚ฆใƒˆ ่‰ฒๅค‰ๅŒ–ๅพŒใฎๅ†ใ‚จใƒณใƒˆใƒชใƒผๅˆถ้™๏ผˆwaitForColorChange๏ผ‰ ใƒชใ‚ขใƒซใ‚ฟใ‚คใƒ  PnL ใฎ่ฟฝ่ทกใจใƒฉใƒ™ใƒซ่กจ็คบ ๐Ÿ”น 7. ใ‚ขใƒฉใƒผใƒˆๅฎŒๅ‚™๏ผˆJSON ๅฝขๅผ๏ผ‰ ใ‚จใƒณใƒˆใƒชใƒผใ€ๆๅˆ‡ใ‚Šใ€้ƒจๅˆ†ๅˆฉ็ขบใ€ใƒˆใƒฌใƒณใƒ‰ๅ่ปขใชใฉใ™ในใฆใซๅฏพๅฟœใ€‚ ๐Ÿ”น 8. ๆ็›Šใƒฉใƒ™ใƒซใƒป็ตฑ่จˆ่กจ็คบ ็›ด่ฟ‘ใƒˆใƒฌใƒผใƒ‰ใฎๆ็›Šใ‚’ใƒใƒฃใƒผใƒˆไธŠใซ่กจ็คบใ—ใ€่ฆ–่ฆš็š„ใซๆŠŠๆกใงใใพใ™ใ€‚ โš™๏ธ ่จญๅฎš้ …็›ฎ ่จญๅฎš้ …็›ฎๅ ่ชฌๆ˜Ž Fast / Slow EMA ้Š˜ๆŸ„ใฎ EMA ่จญๅฎš Index Fast / Slow EMA ๅค–้ƒจใ‚คใƒณใƒ‡ใƒƒใ‚ฏใ‚นใฎ EMA ่จญๅฎš ๆๅˆ‡ใ‚Š๏ผˆ๏ผ…๏ผ‰ ใ‚ซใ‚นใ‚ฟใƒ ๆๅˆ‡ใ‚Šใƒฉใ‚คใƒณ ้ƒจๅˆ†ๅˆฉ็ขบๅ‰ฒๅˆ ใƒˆใƒฌใƒณใƒ‰ๅผฑๅŒ–ๆ™‚ใฎใ‚นใ‚ฑใƒผใƒซใ‚ขใ‚ฆใƒˆๅ‰ฒๅˆ RSI ๆœŸ้–“ใƒปๆฐดๆบ– ้Ž็†ฑ/ๅฃฒใ‚‰ใ‚Œใ™ใŽใƒ•ใ‚ฃใƒซใ‚ฟใƒผ ใ‚นใ‚คใƒณใ‚ฐๆคœๅ‡บๆœŸ้–“ ใ‚นใ‚คใƒณใ‚ฐ้ซ˜ๅ€คใƒปๅฎ‰ๅ€คใฎๆคœๅ‡บใซไฝฟ็”จ ็ตฑ่จˆ่กจ็คบไฝ็ฝฎ ใƒ†ใƒผใƒ–ใƒซใฎ่กจ็คบไฝ็ฝฎ ๐Ÿงญ ไธŠไฝ่ถณใƒˆใƒฌใƒณใƒ‰๏ผˆhtfTrend๏ผ‰ใซใคใ„ใฆ ไธŠไฝ่ถณใ‚นใ‚คใƒณใ‚ฐใฎๆ›ดๆ–ฐใซๅŸบใฅใใƒˆใƒฌใƒณใƒ‰ๅˆคๅฎšใ‚’่กจ็คบใ—ใพใ™ใŒใ€ ใ‚จใƒณใƒˆใƒชใƒผๆกไปถใซใฏไฝฟ็”จใ—ใฆใ„ใพใ›ใ‚“ใ€‚ ็†็”ฑ๏ผš ไธŠไฝ่ถณใ‚’ๅŽณๅฏ†ใซใƒญใ‚ธใƒƒใ‚ฏใธ็ต„ใฟ่พผใ‚€ใจใ€ใƒˆใƒฌใƒผใƒ‰ๆฉŸไผšใŒๅคงๅน…ใซๆธ›ใ‚‹ใŸใ‚ใงใ™ใ€‚ ๆœฌใ‚นใƒˆใƒฉใƒ†ใ‚ธใƒผใงใฏใ€ ใ€Œๅคงๅฑ€ใฎๆŠŠๆกใฏ่ฆ–่ฆšใงใ€ใ‚จใƒณใƒˆใƒชใƒผใฏๆŸ”่ปŸใซใ€ ใจใ„ใ†่จญ่จˆๆ€ๆƒณใ‚’ๆŽก็”จใ—ใฆใ„ใพใ™ใ€‚ โ†’ ่ฃ้‡ใงๅˆฉ็ขบๅˆคๆ–ญใ‚„้€†ๅผตใ‚Šๅ›ž้ฟใซๆดป็”จใงใใพใ™ใ€‚
Strategi Pine Scriptยฎ
oleh mm_mitsuya
3
%R Exhaustion + VixFix with 200MA Regime%R Exhaustion + VixFix with 200MA Regime Strategy A momentum-based trading strategy that combines regime filtering, volatility analysis, and oversold/overbought conditions for optimal entry and exit timing. Key Components: โ€ข MA 200 Regime Filter: Identifies bearish market regimes when price stays below MA 200 for extended periods, preventing longs during downtrends โ€ข Percent R Exhaustion: Uses dual-timeframe Williams %R to detect oversold reversals and overbought exhaustion zones โ€ข Williams VixFix: Volatility-based indicator that identifies market bottoms and filtered entry conditions during panic selling โ€ข Matrix Oscillator: Confirms exit signals when market becomes overbought Entry Logic: - Long entries trigger when: (1) Not in bearish regime, (2) %R shows oversold or reversal, (3) VixFix filtered entry confirms - Position pyramiding with scaling: Initial entry at configured % of equity, subsequent entries match current position size (doubling effect) Exit Logic: - Partial sells when both overbought conditions and Matrix sell signal align - Breakeven stop loss activates after profitable partial sells or when entering bearish regime - Gradual profit-taking using configurable portion percentages Position Management: - Configurable initial entry size and sell portions - Pyramiding up to 5 entries with exponential position sizing - Dynamic stop loss management for capital preservation
Strategi Pine Scriptยฎ
oleh yupyupkim
AV V1This indicator focuses on identifying potential market reversals using a combination of price-based reversal patterns and contextual confirmation rules. It analyzes changes in market behavior to highlight areas where trend exhaustion or directional shifts may occur. Buy and Sell indications are plotted to help users study how different reversal concepts align with price action across various market conditions. This script is intended for educational and analytical use only and should be used alongside independent confirmation and risk management.
Strategi Pine Scriptยฎ
oleh toranijigs
Algo Vortex V1This indicator is based on Smart Money Concepts (SMC) and is designed to highlight potential buy and sell zones using refined market structure, price patterns, and contextual filtering. The script focuses on identifying directional bias and structured entry points by analyzing price behavior rather than predicting outcomes. Signals are plotted for educational and analytical purposes to help users study how price reacts around key structural areas. This indicator is intended for educational and research use only. It does not provide financial advice and should be used alongside independent analysis and proper risk management.
Strategi Pine Scriptยฎ
oleh toranijigs
Quality-Controlled Trend Strategy v2 (Expectancy Focused)This script focuses on quality control rather than curve-fitting. No repainting, no intrabar tricks, no fake equity curves. It uses confirmed-bar entries, ATR-based risk, and clean trend logic so backtests reflect what could actually be traded live. If you publish scripts, this is the minimum structure worth sharing. Why this script exists TradingViewโ€™s public scripts are flooded with: repainting indicators no stop-loss logic curve-fit entries that collapse live strategies that look good only in hindsight This script is intentionally boring but honest. No repainting. No intrabar tricks. No fake equity curves The goal is quality control, not hype. What this strategy enforces โœ” Confirmed bars only โœ” Single source of truth for indicators โœ” Fixed risk structure โœ” No signal repainting โœ” Clean exits with unique IDs โœ” Works on any liquid market Trading Logic (simple & auditable) Trend filter EMA 50 vs EMA 200 Entry Pullback to EMA 50 RSI confirms momentum (not oversold/overbought) Risk ATR-based stop Fixed R:R One position at a time This is the minimum bar for a strategy to be considered publish-worthy. Why this helps TradingView quality Most low-value scripts fail because they: hide repainting logic skip exits entirely use inconsistent calculations rely on hindsight candles This strategy forces discipline: every signal is confirmed every trade has defined risk behavior is repeatable across symbols & timeframes If more scripts followed this baseline, TradingViewโ€™s public library would be far more usable.
Strategi Pine Scriptยฎ
oleh AIScripts
SMC Pivot Confluence Strategy-onlyThe **SMC Pivot Confluence Strategy** is a **trend-following price action strategy** based on: * **Smart Money Concepts (SMC, Market Structure)** * **Pivot Points** It is specifically designed for **Crypto Spot and Perpetual Contract markets (24/7)**. ### Core Strategy Philosophy: > **Enter trades following the trend only when the Smart Money structure is clearly defined, positioned near key price pivots (Pivot P), utilizing distinct structural stop losses and fixed risk-to-reward ratios for position management.** This is a trading system that is: * **Backtestable** (Strategy-based) * **Parameterized** (Adjustable settings) * **Explainable** (Logic-driven) * **Suitable for Invite-only membership models.** --- ## 1. Use Cases and Scope ### 1.1 Recommended Markets * BTC / ETH Perpetual Contracts * High-liquidity mainstream coins ### 1.2 Markets to Avoid * Low-liquidity altcoins * Newly listed coins * Extremely manipulated coins ### 1.3 Recommended Timeframes * **Primary Timeframe: 15m (Highly Recommended)** * Optional: 5m (Aggressive) / 1h (Conservative) --- ## 2. Overall Strategy Structure (Modular Breakdown) * **A. Smart Money Concepts (Structure Module)** * **B. Pivot Points (Price Pivot Module)** * **C. Trend Confluence Filter** * **D. Entry Logic** * **E. Risk & Position Management** * **F. Exit Logic (SL / TP)** * **G. State Management (Avoiding Duplicate Trades)** * **H. Visualization (Trade & Structure Display)**
Strategi Pine Scriptยฎ
oleh shaxia123
NQ/MNQ 5min BotThis invite-only strategy is built for traders who want a systematic approach to Nasdaq futures (NQ/MNQ). It combines VWAP (Volume Weighted Average Price), EMA (Exponential Moving Average), and ATR (Average True Range) filters to identify high-probability intraday setups. ๐Ÿ”‘ Key Features Trend Confirmation: Multi-timeframe EMA signals for directional bias. VWAP Integration: Anchored VWAP zones act as dynamic support/resistance. ATR-Based Risk Management: Stops and targets adapt to market volatility. Intraday Focus: Designed for day traders and scalpers in NQ/MNQ futures. Backtested Logic: Strategy has been optimized with robust historical testing. โœ… Who This Is For Futures traders looking for consistency on Nasdaq contracts. Traders who want clear entry and exit rules without second-guessing. Those seeking scalable risk management that adapts to volatility.
Strategi Pine Scriptยฎ
oleh peterfwmarch
Commodity Channel Index CCI + EMA strategy ================================================================================ COMMODITY CHANNEL INDEX CCI + EMA STRATEGY - STRATEGY GUIDE ๐Ÿ“Š ================================================================================ ๐Ÿ’ก COLLABORATION & SUPPORT --------------------------- If you want to collaborate, have an idea for a strategy, or need help writing or customizing code, send an email to burdytrader@gmail.com or send me a message. Suggestions, ideas, and comments are always welcome! ๐Ÿค I also develop automated trading codes for other trading platforms including: - CTrader (C#) - MetaTrader 4 (MQL4) - MetaTrader 5 (MQL5) If you need a strategy converted or developed for any of these platforms, feel free to contact me! ================================================================================ โš ๏ธ IMPORTANT: INSTRUMENT SELECTION ๐Ÿ“ˆ ------------------------------------- This strategy performs BEST with currency pairs (forex). The CCI indicator works particularly well in the forex market due to the nature of currency movements and the effectiveness of the CCI in identifying overbought and oversold conditions in trending markets. Why Currency Pairs? ๐ŸŽฏ - CCI is highly effective in identifying reversals in forex markets - Currency pairs show clear overbought/oversold patterns - EMA filter (50/200) aligns well with major forex trends - High liquidity ensures reliable signal execution Performance Highlights: In specific currency pairs, when properly configured, this strategy can achieve: - Profit Factor: Over 2.0 - Win Rate: Up to 70% - Particularly effective pairs: USDCAD, EURUSD, GBPJPY While the strategy can work with other instruments (stocks, indices, commodities), currency pairs provide the most consistent and reliable results. For optimal performance, focus on major forex pairs with good liquidity and clear trending characteristics. ================================================================================ WHAT DOES THIS STRATEGY DO? ๐ŸŽฏ --------------------------- This strategy combines the Commodity Channel Index (CCI) with Exponential Moving Averages (EMA) to identify high-probability trading opportunities. The strategy uses CCI crossovers with a smoothing moving average and filters signals using EMA trend confirmation. The strategy automatically enters trades when CCI crosses the smoothing MA in specific zones, indicating potential trend reversals or continuations. HOW IT WORKS? โš™๏ธ --------------- 1. CCI CALCULATION ๐Ÿ“ˆ The strategy calculates the Commodity Channel Index using: - CCI = (Price - SMA(Price, length)) / (0.015 ร— Deviation(Price, length)) - Default length: 20 periods - Source: HLC3 (typical price) The CCI shows: - Values above +100 = Overbought conditions - Values below -100 = Oversold conditions - Values around 0 = Neutral conditions 2. SMOOTHING MOVING AVERAGE ๐Ÿ“Š A moving average is applied to the CCI to smooth out fluctuations: - Types available: SMA, EMA, SMMA (RMA), WMA, VWMA - Default: SMA with length 14 - Can be disabled (set to "None") This smoothed line acts as a reference for crossover signals. 3. EMA TREND FILTER ๐ŸŽฏ Two EMAs are calculated on the CCI: - EMA 50 (fast EMA) - EMA 200 (slow EMA) When the EMA filter is enabled: - LONG signals only occur when EMA50 > EMA200 (uptrend confirmation) - SHORT signals only occur when EMA50 < EMA200 (downtrend confirmation) This filter can be enabled/disabled via the "Use EMA Filter" option. 4. ENTRY CONDITIONS ๐ŸŽฒ LONG ENTRY (Buy Signal): - CCI crosses ABOVE the Smoothing MA (crossover) - CCI is between Lower Level (-100) and Middle Level (0) - EMA Filter: EMA50 > EMA200 (if filter enabled) - No existing positions (or close opposite positions first) SHORT ENTRY (Sell Signal): - CCI crosses BELOW the Smoothing MA (crossunder) - CCI is between Middle Level (0) and Upper Level (+100) - EMA Filter: EMA50 < EMA200 (if filter enabled) - No existing positions (or close opposite positions first) 5. POSITION MANAGEMENT ๐Ÿ’ฐ The strategy uses a simple position management approach: - Only ONE position at a time (no pyramiding) - If a signal occurs in the opposite direction, closes existing position first - Then opens new position in the new direction - This prevents overexposure and simplifies risk management 6. TAKE PROFIT & STOP LOSS SETTINGS ๐ŸŽฏ The strategy uses percentage-based TP/SL: - Take Profit: 1.0% (default, configurable) - Stop Loss: 0.5% (default, configurable) - Risk/Reward Ratio: 2:1 (TP is double the SL) TP/SL are calculated once when the position opens and remain fixed. AVAILABLE PARAMETERS โš™๏ธ ----------------------- CCI SETTINGS: 1. CCI Length (Default: 20) - Period for CCI calculation - Lower values = More sensitive to recent price action - Higher values = More smoothed, less sensitive 2. CCI Source (Default: HLC3) - Price source for CCI calculation - Options: close, open, high, low, hlc3, hlcc4, ohlc4 3. CCI Lower Level (Default: -100) - Lower boundary for LONG entry zone - Typically -100 for oversold conditions 4. CCI Middle Level (Default: 0) - Neutral level separating LONG and SHORT zones 5. CCI Upper Level (Default: +100) - Upper boundary for SHORT entry zone - Typically +100 for overbought conditions SMOOTHING MA: 6. Type (Default: SMA) - Moving average type: None, SMA, EMA, SMMA (RMA), WMA, VWMA - Set to "None" to disable smoothing 7. Length (Default: 14) - Period for smoothing MA - Range: 7-28, step 7 EMA FILTER: 8. EMA 1 Length (Default: 50) - Fast EMA period applied to CCI 9. EMA 2 Length (Default: 200) - Slow EMA period applied to CCI 10. Use EMA Filter (Default: true) - Enable/disable EMA trend filter - When enabled: LONG only if EMA50 > EMA200, SHORT only if EMA50 < EMA200 RISK MANAGEMENT: 11. Take Profit (%) (Default: 1.0%) - Profit target as percentage of entry price - For LONG: Entry ร— (1 + TP%) - For SHORT: Entry ร— (1 - TP%) 12. Stop Loss (%) (Default: 0.5%) - Stop loss as percentage of entry price - For LONG: Entry ร— (1 - SL%) - For SHORT: Entry ร— (1 + SL%) VISUALIZATION ๐Ÿ“Š --------------- The strategy displays in a separate panel below the price chart: 1. CCI LINE - Blue line showing the CCI value - Oscillates around zero 2. SMOOTHING MA LINE - Yellow line showing the smoothed CCI - Reference line for crossover signals 3. CCI LEVEL LINES - Red dashed line: Upper Level (+100) - Green dashed line: Lower Level (-100) - Yellow dashed line: Middle Level (0) 4. ENTRY SIGNALS - Green cross: LONG entry signal (when CCI crosses above MA) - Red cross: SHORT entry signal (when CCI crosses below MA) RECOMMENDED SETTINGS ๐ŸŽฏ ----------------------- To get started, you can use these settings: CCI SETTINGS: - CCI Length: 20 (default) - CCI Source: HLC3 (default) - CCI Lower Level: -100 (default) - CCI Middle Level: 0 (default) - CCI Upper Level: +100 (default) SMOOTHING MA: - Type: SMA (default) or EMA for faster response - Length: 14 (default) EMA FILTER: - EMA 1 Length: 50 (default) - EMA 2 Length: 200 (default) - Use EMA Filter: true (recommended for better signal quality) RISK MANAGEMENT: - Take Profit (%): 1.0% (adjust based on your risk/reward preference) - Stop Loss (%): 0.5% (adjust based on your risk tolerance) For more aggressive trading: - Reduce CCI Length to 14-16 - Reduce Smoothing MA Length to 7 - Disable EMA Filter For more conservative trading: - Increase CCI Length to 24-30 - Increase Smoothing MA Length to 21-28 - Keep EMA Filter enabled RECOMMENDED CURRENCY PAIRS ๐Ÿ’ฑ ------------------------------ This strategy is optimized for currency pairs and performs exceptionally well on the following pairs when properly configured: TOP PERFORMING PAIRS: - USDCAD: Can achieve Profit Factor > 2.0 and Win Rate up to 70% - EURUSD: Excellent performance with consistent signals - GBPJPY: Strong results with proper EMA filter configuration These pairs have shown the best historical performance due to: - Clear trending characteristics - Good response to CCI overbought/oversold levels - Strong alignment with EMA 50/200 trend filter - High liquidity ensuring reliable execution When trading these pairs, use the default settings or slightly adjusted parameters based on the pair's volatility. Always backtest on historical data before using real money to find the optimal configuration for each specific pair. PRACTICAL EXAMPLE ๐Ÿ“ -------------------- Scenario: LONG Entry on EUR/USD 1. Market conditions: - Price: 1.1000 - CCI: -80 (in oversold zone) - Smoothing MA: -90 - CCI crosses above Smoothing MA (crossover occurs) - EMA50: -50, EMA200: -70 (EMA50 > EMA200, uptrend confirmed) 2. Strategy checks conditions: โœ“ Smoothing MA enabled: Yes โœ“ Crossover: Yes (CCI crosses above MA) โœ“ CCI in range: Yes (-100 <= -80 <= 0) โœ“ EMA Filter: Yes (EMA50 > EMA200) โœ“ No existing position: Yes 3. Strategy opens position: - Direction: LONG (Buy) - Entry: 1.1000 (current close) - Take Profit: 1.1110 (1.0% above entry) - Stop Loss: 1.0945 (0.5% below entry) - Risk/Reward: 2:1 4. Outcome scenarios: - If price rises to 1.1110 โ†’ Take Profit hit (profit) - If price falls to 1.0945 โ†’ Stop Loss hit (loss limited) IMPORTANT NOTE โš ๏ธ ----------------- This strategy is a technical analysis tool based on CCI and EMA indicators. Like all trading strategies, it does NOT guarantee profits. Trading involves significant risks and you can lose money, including your entire investment. Past performance does not guarantee future results. Always: - Use appropriate risk management - Never risk more than you can afford to lose - Test the strategy on historical data (backtesting) before using real money - Start with small position sizes or paper trading - Understand that no strategy works 100% of the time - Consider market conditions, news events, and other factors - Keep a trading journal to learn and improve The author and contributors are NOT responsible for any losses incurred from using this strategy. Trading decisions are your own responsibility. Profits are NOT guaranteed, and losses are possible. LICENSE ๐Ÿ“„ ---------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Strategi Pine Scriptยฎ
oleh Burdiga84