始めましょう

インジケーターとストラテジー

Gold Trading Bot with Robust Risk ManagementMarket Focus: The script is now clearly labeled for gold trading. When using it, load a gold chart (such as XAUUSD) on TradingView. Risk Management: It uses an ATR-based stop loss and take profit mechanism. The stop loss and take profit distances adjust dynamically with market volatility, which is particularly useful in the sometimes volatile gold market. Strategy Logic: A simple moving average crossover triggers a long position. This example is a starting point; you might want to experiment with different indicators or add short conditions depending on your approach. Customization: While the default values (e.g., ATR period, multipliers, MA lengths) provide a solid foundation, consider optimizing these settings through backtesting specifically for gold to match its price dynamics.
Pine Script™ ストラテジー
luisrojasmunozの投稿
BTC 5-Min Trend Breakout📊 Strategy Overview: ✔ EMA Trend Confirmation → Trades only in the direction of the trend (EMA 50 & EMA 200). ✔ Breakout Strategy → Only buys breakouts above resistance and sells breakdowns below support. ✔ High Volume Filter → Confirms strong moves with high volume. ✔ RSI Check → Prevents entries in overbought/oversold conditions. ✔ Dynamic Stop Loss & Take Profit → Uses ATR to adjust risk levels dynamically. ✔ Alerts & Markers → Provides BUY/SELL signals and triggers alerts.
Pine Script™ ストラテジー
aborhade1997の投稿
Hierarchical + K-Means Clustering Strategy===== USER GUIDE ===== Hierarchical + K-Means Clustering Strategy OVERVIEW: This strategy combines hierarchical clustering and K-means algorithms to analyze market volatility patterns and generate trading signals. It uses a modified SuperTrend indicator with ATR-based volatility clustering to identify potential trend changes and market conditions. KEY FEATURES: - Advanced volatility analysis using hierarchical clustering and K-means algorithms - Modified SuperTrend indicator for trend identification - Multiple filter options including moving average and ADX trend strength - Volume-based exit mechanism to protect profits - Customizable appearance settings SETTINGS EXPLANATION: 1. SuperTrend Settings: - ATR Length: Period for ATR calculation (default: 11) - SuperTrend Factor: Multiplier for ATR to determine trend bands (default: 3) 2. Hierarchical Clustering Settings: - Training Data Length: Number of bars used for clustering analysis (default: 200) 3. Appearance Settings: - Transparency 1 & 2: Control the opacity of trend lines and fills - Bullish/Bearish Color: Colors for uptrend and downtrend visualization 4. Time Settings: - Start Year/Month: Define when the strategy should start executing trades 5. Filter Settings: - Moving Average Filter: Uses SMA to filter trades (only enter when price is on correct side of MA) - Trend Strength Filter: Uses ADX to ensure trades are taken in strong trend conditions 6. Volume Stop Loss Settings: - Volume Ratio Threshold: Controls sensitivity of volume-based exits - Monitoring Delay Bars: Number of bars to wait before monitoring volume for exit signals HOW TO USE: 1. Apply the indicator to your chart 2. Adjust settings according to your trading preferences and timeframe 3. Long signals appear when price crosses above the SuperTrend line (▲k marker) 4. Short signals appear when price crosses below the SuperTrend line (▼k marker) 5. The strategy automatically manages exits based on volume balance conditions INTERPRETATION: - Green line/area: Bullish trend - consider long positions - Red line/area: Bearish trend - consider short positions - Yellow line: Moving average for additional trend confirmation - Volume balance exits occur when buying/selling pressure equalizes RECOMMENDED TIMEFRAMES: This strategy works best on 1H, 4H, and daily charts for most markets. For highly volatile assets, shorter timeframes may also be effective. RISK MANAGEMENT: Always use proper position sizing and consider setting additional stop losses beyond the strategy's built-in exit mechanisms. ===== END OF USER GUIDE =====
Pine Script™ ストラテジー
wanghuacrowの投稿
BRAHIM KHATTARA Components of the Strategy Input Settings: RSI Oversold Level: Set at 30, meaning the asset is considered oversold when RSI drops below this level. RSI Overbought Level: Set at 70, meaning the asset is considered overbought when RSI rises above this level. Stop Loss: A percentage-based stop loss (default: 1%). Take Profit: A percentage-based take profit level (default: 2%). Trade Entry Conditions: A buy trade (long position) is triggered when the RSI is below 30 and was previously above 30 in the last candle. A sell trade (short position) is triggered when the RSI is above 70 and was previously below 70 in the last candle. Risk Management: When a long position is opened: The take profit is set 2% above the entry price. The stop loss is set 1% below the entry price. When a short position is opened: The take profit is set 2% below the entry price. The stop loss is set 1% above the entry price. Buy and Sell Signals on the Chart: A "BUY" label appears below the candles when a buy condition is met. A "SELL" label appears above the candles when a sell condition is met. Fibonacci Bollinger Bands: The middle line is calculated using VWMA (Volume-Weighted Moving Average). The bands are calculated using standard deviation with Fibonacci levels: 0.236, 0.382, 0.5, 0.618, 0.764, and 1.0. The upper bands act as resistance, while the lower bands act as support. ✅ Advantages of the Strategy ✔️ Simple and easy to understand, relying only on RSI and support/resistance levels. ✔️ Suitable for scalping and swing trading. ✔️ Uses Fibonacci Bollinger Bands to improve entry and exit accuracy. ✔️ Clear risk management with predefined stop loss and take profit levels.
Pine Script™ ストラテジー
khatibrabitの投稿
Adaptive Trend Continuation StrategyStrategy Explanation: This is a Trend continuation Strategy that uses directional measures to inform trade decisions. Trend Identification: The ADX indicator measures trend strength. An ADX value above 25 signifies a strong trend, aligning with research indicating that trends, once established, tend to continue. Entry Criteria: The strategy detects bullish flag patterns, which are known to have a high success rate in predicting upward continuations. STRIKE.MONEY (www.strike.money) A breakout from this pattern, confirmed by higher-than-average volume, serves as the entry signal. Risk Management: The ATR is employed to set dynamic stop-loss levels, adjusting for market volatility. Position sizing is calculated based on a fixed percentage of capital at risk per trade, ensuring consistent risk management. Exit Strategy: A stop-loss is placed at 1.5 times the ATR below the entry price, and a take-profit is set at 3 times the ATR above the entry price, establishing a 2:1 reward-to-risk ratio. 5. Known Limitations and Edge Cases: False Breakouts: Not all breakouts lead to sustained trends. The volume confirmation filter aims to mitigate this risk, but false signals can still occur. Market Conditions: The strategy may underperform in choppy or sideways markets where clear trends are absent. Pattern Recognition: The simplified detection of bullish flag patterns may not capture all valid patterns or might identify false ones.
Pine Script™ ストラテジー
alkemokaiの投稿
OB-MSS-FVG StrategyStrategy Explanation: Identify the Order Block Look for the last bearish (red) candle before a sustained rally. This candle represents the Order Block, signaling institutional buying/selling activity. Confirm the Order Block is validated by a liquidity sweep (price briefly wicks into a prior swing high/low to trigger stop orders before reversing). Confirm Market Structure Shift (MSS) A ChoCh (Change of Character) occurs when price breaks a prior swing high in a downtrend (or low in an uptrend). Validate with upward displacement: A strong bullish candle closing above the Order Block, confirming trend reversal. Locate High-Probability FVGs FVG Definition: A 3-candle pattern where the middle candle gaps above/below adjacent candles (e.g., bullish FVG in a downtrend). Conditions for FVG: a. Unmitigated: Price hasn’t retested the FVG zone. b. No close below: If tested, price should not close below the FVG (bullish confirmation). c. Confluence: FVG aligns with a key level (e.g., trendline, Order Block, or Fibonacci retracement). d. Prioritize farthest FVG: The earliest FVG after the ChoCh is stronger (less likely to be a retracement trap). e. Fibonacci Filter: Draw Fib (0–100%) from the swing low to high of the rally. Strong FVGs lie between 0–50%; avoid those above 50%. f. BOS/ChoCH Confirmation: FVG must form after a Break of Structure (BOS) or ChoCh, alongside a liquidity sweep (e.g., stop runs). Entry, Stop Loss, and Take Profit Entry: Enter long when price retests the FVG (preferably in the 0–50% Fib zone) and shows rejection (e.g., bullish pin bar, engulfing). Stop Loss: Place below the FVG’s low or the Order Block’s low, whichever is lower. Take Profit: Target the next liquidity zone (prior swing high) or use a trailing stop after a BOS. Example Scenario Downtrend: Price sweeps liquidity below a swing low. MSS: Price rallies, breaks the prior swing high (ChoCh). FVG Formation: A bullish FVG appears during the rally. Fib Confluence: FVG lies between 0–50% of the rally’s Fib retracement. Entry: Price retraces to FVG, bounces with a bullish candle. Exit: Profit at next swing high or liquidity pool.
Pine Script™ ストラテジー
ozalcesの投稿
1
5 Dakika Özel AL-SAT5 Dakikalık Performans Optimizasyonları: Hızlı EMA Kesmeleri: 20/50 EMA kombinasyonu Agresif Risk Yönetimi: %0.25 SL / %0.50 TP Hacim Spike Filtresi: 1.5x ortalama hacim zorunlu Dar Bollinger Bandı: 1.8 standart sapma ile RSI Thresholds: 38/62 seviyelerinde Kullanım Önerileri: Zaman Seçimi: Londra Açılışı (08:00 TSİ) New York Açılışı (14:30 TSİ) Enstrüman Seçimi: EUR/USD, GBP/USD, BTC/USDT gibi yüksek likidite çiftleri Risk Yönetimi: Maksimum pozisyon büyüklüğü: %2-5 sermaye Günde maksimum 5 işlem kuralı
Pine Script™ ストラテジー
TurkYatirimciの投稿
TMA StrategyThe **TMA Strategy** is a trend-following strategy that leverages **Smoothed Moving Averages (SMMA)** and **candlestick patterns** to identify high-probability trading opportunities. It is designed for traders who want to capture strong trends while minimizing noise from short-term fluctuations. **Key Features:** ✔ **Multiple Smoothed Moving Averages (SMMA):** Uses 21, 50, 100, and 200-period SMMAs to identify market trends and key support/resistance zones. ✔ **Candlestick Pattern Confirmation:** Incorporates **3-line strike** and **engulfing candle** patterns to confirm trade entries. ✔ **Dynamic Trend Filter:** A **2-period EMA** ensures that trades align with the dominant trend, reducing false signals. ✔ **Customizable Session Filter:** Allows users to enable/disable trading within specific market sessions (New York, London, Tokyo, etc.), ensuring trades are executed only during high-liquidity hours. ✔ **Risk Management:** Uses predefined exit conditions based on EMA/SMMA crossovers to lock in profits and minimize losses. **Trading Logic:** 📌 **Long Entry:** - Bullish Engulfing or 3-Line Strike pattern appears. - Price is above the 200 SMMA. - 2 EMA confirms an uptrend. - Trade executes if session filter allows. 📌 **Short Entry:** - Bearish Engulfing or 3-Line Strike pattern appears. - Price is below the 200 SMMA. - 2 EMA confirms a downtrend. - Trade executes if session filter allows. 📌 **Exit Conditions:** - Long trades exit when EMA(2) crosses **below** SMMA(200). - Short trades exit when EMA(2) crosses **above** SMMA(200). **Ideal Markets & Timeframes:** ✅ Best suited for **Forex, Stocks, and Crypto** markets. ✅ Works well on **higher timeframes (15m, 1H, 4H, Daily)** for stronger trend confirmation. 📢 **Disclaimer:** This strategy is for educational purposes only. Backtest results do not guarantee future performance. Always use proper risk management and test in a demo account before live trading. 🚀 **Try the TMA Strategy now and enhance your trend-following approach!**
Pine Script™ ストラテジー
PRIDELEGENX005の投稿
Divergence IQ [TradingIQ]Hello Traders! Introducing "Divergence IQ" Divergence IQ lets traders identify divergences between price action and almost ANY TradingView technical indicator. This tool is designed to help you spot potential trend reversals and continuation patterns with a range of configurable features. Features Divergence Detection Detects both regular and hidden divergences for bullish and bearish setups by comparing price movements with changes in the indicator. Offers two detection methods: one based on classic pivot point analysis and another that provides immediate divergence signals. Option to use closing prices for divergence detection, allowing you to choose the data that best fits your strategy. Normalization Options: Includes multiple normalization techniques such as robust scaling, rolling Z-score, rolling min-max, or no normalization at all. Adjustable normalization window lets you customize the indicator to suit various market conditions. Option to display the normalized indicator on the chart for clearer visual comparison. Allows traders to take indicators that aren't oscillators, and convert them into an oscillator - allowing for better divergence detection. Simulated Trade Management: Integrates simulated trade entries and exits based on divergence signals to demonstrate potential trading outcomes. Customizable exit strategies with options for ATR-based or percentage-based stop loss and profit target settings. Automatically calculates key trade metrics such as profit percentage, win rate, profit factor, and total trade count. Visual Enhancements and On-Chart Displays: Color-coded signals differentiate between bullish, bearish, hidden bullish, and hidden bearish divergence setups. On-chart labels, lines, and gradient flow visualizations clearly mark divergence signals, entry points, and exit levels. Configurable settings let you choose whether to display divergence signals on the price chart or in a separate pane. Performance Metrics Table: A performance table dynamically displays important statistics like profit, win rate, profit factor, and number of trades. This feature offers an at-a-glance assessment of how the divergence-based strategy is performing. The image above shows Divergence IQ successfully identifying and trading a bullish divergence between an indicator and price action! The image above shows Divergence IQ successfully identifying and trading a bearish divergence between an indicator and price action! The image above shows Divergence IQ successfully identifying and trading a hidden bullish divergence between an indicator and price action! The image above shows Divergence IQ successfully identifying and trading a hidden bearish divergence between an indicator and price action! The performance table is designed to provide a clear summary of simulated trade results based on divergence setups. You can easily review key metrics to assess the strategy’s effectiveness over different time periods. Customization and Adaptability Divergence IQ offers a wide range of configurable settings to tailor the indicator to your personal trading approach. You can adjust the lookback and lookahead periods for pivot detection, select your preferred method for normalization, and modify trade exit parameters to manage risk according to your strategy. The tool’s clear visual elements and comprehensive performance metrics make it a useful addition to your technical analysis toolbox. The image above shows Divergence IQ identifying divergences between price action and OBV with no normalization technique applied. While traders can look for divergences between OBV and price, OBV doesn't naturally behave like an oscillator, with no definable upper and lower threshold, OBV can infinitely increase or decrease. With Divergence IQ's ability to normalize any indicator, traders can normalize non-oscillator technical indicators such as OBV, CVD, MACD, or even a moving average. In the image above, the "Robust Scaling" normalization technique is selected. Consequently, the output of OBV has changed and is now behaving similar to an oscillator-like technical indicator. This makes spotting divergences between the indicator and price easier and more appropriate. The three normalization techniques included will change the indicator's final output to be more compatible with divergence detection. This feature can be used with almost any technical indicator. Stop Type Traders can select between ATR based profit targets and stop losses, or percentage based profit targets and stop losses. The image above shows options for the feature. Divergence Detection Method A natural pitfall of divergence trading is that it generally takes several bars to "confirm" a divergence. This makes trading the divergence complicated, because the entry at time of the divergence might look great; however, the divergence wasn't actually signaled until several bars later. To circumvent this issue, Divergence IQ offers two divergence detection mechanisms. Pivot Detection Pivot detection mode is the same as almost every divergence indicator on TradingView. The Pivots High Low indicator is used to detect market/indicator highs and lows and, consequently, divergences. This method generally finds the "best looking" divergences, but will always take additional time to confirm the divergence. Immediate Detection Immediate detection mode attempts to reduce lag between the divergence and its confirmation to as little as possible while avoiding repainting. Immediate detection mode still uses the Pivots Detection model to find the first high/low of a divergence. However, the most recent high/low does not utilize the Pivot Detection model, and instead immediately looks for a divergence between price and an indicator. Immediate Detection Mode will always signal a divergence one bar after it's occurred, and traders can set alerts in this mode to be alerted as soon as the divergence occurs. TradingView Backtester Integration Divergence IQ is fully compatible with the TradingView backtester! Divergence IQ isn’t designed to be a “profitable strategy” for users to trade. Instead, the intention of including the backtester is to let users backtest divergence-based trading strategies between the asset on their chart and almost any technical indicator, and to see if divergences have any predictive utility in that market. So while the backtester is available in Divergence IQ, it’s for users to personally figure out if they should consider a divergence an actionable insight, and not a solicitation that Divergence IQ is a profitable trading strategy. Divergence IQ should be thought of as a Divergence backtesting toolkit, not a full-feature trading strategy. Strategy Properties Used For Backtest Initial Capital: $1000 - a realistic amount of starting capital that will resonate with many traders Amount Per Trade: 5% of equity - a realistic amount of capital to invest relative to portfolio size Commission: 0.02% - a conservative amount of commission to pay for trade that is standard in crypto trading, and very high for other markets. Slippage: 1 tick - appropriate for liquid markets, but must be increased in markets with low activity. Once more, the backtester is meant for traders to personally figure out if divergences are actionable trading signals on the market they wish to trade with the indicator they wish to use. And that's all! If you have any cool features you think can benefit Divergence IQ - please feel free to share them! Thank you so much TradingView community!
Pine Script™ ストラテジー
Trading-IQの投稿
Double Bollinger Bands Strategy with Signals (By Rolwin)Double Bollinger Bands Strategy with Signals 1.0 (By Rolwin) 📌 Overview The Double Bollinger Bands Strategy is a trend-following system that utilizes two sets of Bollinger Bands (2 standard deviations and 3 standard deviations) to identify high-probability entry and exit points. This strategy helps traders capitalize on strong price movements and potential reversals by detecting overbought and oversold conditions more effectively. 📊 How It Works • Bollinger Bands Setup: o Middle Band: 20-period Simple Moving Average (SMA) o Upper & Lower Bands (2 SD): Standard Bollinger Bands (±2 standard deviations) o Extreme Bands (3 SD): Additional Bollinger Bands (±3 standard deviations) for extreme price moves • Entry Signals: ✅ Buy (Long Entry): When the price crosses above the lower 3SD band (oversold zone) ❌ Sell (Short Entry): When the price crosses below the upper 3SD band (overbought zone) • Exit Signals: 🔼 Exit Long: When the price reaches the upper 2SD band 🔽 Exit Short: When the price reaches the lower 2SD band • Additional Features: ✅ Buy & Sell Signals plotted directly on the chart 🎨 Candles turn white when price touches the extreme 3SD band 🔥 Why Use This Strategy? ✔️ Clear Entry & Exit Points: Based on strong statistical levels ✔️ Effective in Trending & Reversal Markets: Captures both momentum & mean reversion setups ✔️ Easy-to-Use Visualization: Signals & bands make it beginner-friendly ✔️ Customizable: Adjust Bollinger Band length and multipliers to fit different assets & timeframes ⚠️ Risk Management Tip While this strategy provides high-probability trade signals, it is essential to use stop-loss orders (e.g., ATR-based) and proper position sizing to manage risk effectively. 📈 Try it out and optimize the settings for your favorite markets! 🚀
Pine Script™ ストラテジー
rolwindepanoの投稿
2
TEMA OBOS Strategy PakunTEMA OBOS Strategy Overview This strategy combines a trend-following approach using the Triple Exponential Moving Average (TEMA) with Overbought/Oversold (OBOS) indicator filtering. By utilizing TEMA crossovers to determine trend direction and OBOS as a filter, it aims to improve entry precision. This strategy can be applied to markets such as Forex, Stocks, and Crypto, and is particularly designed for mid-term timeframes (5-minute to 1-hour charts). Strategy Objectives Identify trend direction using TEMA Use OBOS to filter out overbought/oversold conditions Implement ATR-based dynamic risk management Key Features 1. Trend Analysis Using TEMA Uses crossover of short-term EMA (ema3) and long-term EMA (ema4) to determine entries. ema4 acts as the primary trend filter. 2. Overbought/Oversold (OBOS) Filtering Long Entry Condition: up > down (bullish trend confirmed) Short Entry Condition: up < down (bearish trend confirmed) Reduces unnecessary trades by filtering extreme market conditions. 3. ATR-Based Take Profit (TP) & Stop Loss (SL) Adjustable ATR multiplier for TP/SL Default settings: TP = ATR × 5 SL = ATR × 2 Fully customizable risk parameters. 4. Customizable Parameters TEMA Length (for trend calculation) OBOS Length (for overbought/oversold detection) Take Profit Multiplier Stop Loss Multiplier EMA Display (Enable/Disable TEMA lines) Bar Color Change (Enable/Disable candle coloring) Trading Rules Long Entry (Buy Entry) ema3 crosses above ema4 (Golden Cross) OBOS indicator confirms up > down (bullish trend) Execute a buy position Short Entry (Sell Entry) ema3 crosses below ema4 (Death Cross) OBOS indicator confirms up < down (bearish trend) Execute a sell position Take Profit (TP) Entry Price + (ATR × TP Multiplier) (Default: 5) Stop Loss (SL) Entry Price - (ATR × SL Multiplier) (Default: 2) TP/SL settings are fully customizable to fine-tune risk management. Risk Management Parameters This strategy emphasizes proper position sizing and risk control to balance risk and return. Trading Parameters & Considerations Initial Account Balance: $7,000 (adjustable) Base Currency: USD Order Size: 10,000 USD Pyramiding: 1 Trading Fees: $0.94 per trade Long Position Margin: 50% Short Position Margin: 50% Total Trades (M5 Timeframe): 128 Deep Test Results (2024/11/01 - 2025/02/24)BTCUSD-5M Total P&L：+1638.20USD Max equity drawdown：694.78USD Total trades：128 Profitable trades:44.53 Profit factor:1.45 These settings aim to protect capital while maintaining a balanced risk-reward approach. Visual Support TEMA Lines (Three EMAs) Trend direction is indicated by color changes (Blue/Orange) ema3 (short-term) and ema4 (long-term) crossover signals potential entries OBOS Histogram Green → Strong buying pressure Red → Strong selling pressure Blue → Possible trend reversal Entry & Exit Markers Blue Arrow → Long Entry Signal Red Arrow → Short Entry Signal Take Profit / Stop Loss levels displayed Strategy Improvements & Uniqueness This strategy is based on indicators developed by "l_lonthoff" and "jdmonto0", but has been significantly optimized for better entry accuracy, visual clarity, and risk management. Enhanced Trend Identification with TEMA Detects early trend reversals using ema3 & ema4 crossover Reduces market noise for a smoother trend-following approach Improved OBOS Filtering Prevents excessive trading Reduces unnecessary risk exposure Dynamic Risk Management with ATR-Based TP/SL Not a fixed value → TP/SL adjusts to market volatility Fully customizable ATR multiplier settings (Default: TP = ATR × 5, SL = ATR × 2) Summary The TEMA + OBOS Strategy is a simple yet powerful trading method that integrates trend analysis and oscillators. TEMA for trend identification OBOS for noise reduction & overbought/oversold filtering ATR-based TP/SL settings for dynamic risk management Before using this strategy, ensure thorough backtesting and demo trading to fine-tune parameters according to your trading style.
Pine Script™ ストラテジー
PakunFXの投稿
Non-Repainting Renko Emulation Strategy [PineIndicators]Introduction: The Repainting Problem in Renko Strategies Renko charts are widely used in technical analysis for their ability to filter out market noise and emphasize price trends. Unlike traditional candlestick charts, which are based on fixed time intervals, Renko charts construct bricks only when price moves by a predefined amount. This makes them useful for trend identification while reducing small fluctuations. However, Renko-based trading strategies often fail in live trading due to a fundamental issue: repainting . Why Do Renko Strategies Repaint? Most trading platforms, including TradingView, generate Renko charts retrospectively based on historical price data. This leads to the following issues: Renko bricks can change or disappear when new data arrives. Backtesting results do not reflect real market conditions. Strategies may appear highly profitable in backtests because historical data is recalculated with hindsight. Live trading produces different results than backtesting. Traders cannot know in advance whether a new Renko brick will form until price moves far enough. Objective of the Renko Emulator This script simulates Renko behavior on a standard time-based chart without repainting. Instead of using TradingView’s built-in Renko charting, which recalculates past bricks, this approach ensures that once a Renko brick is formed, it remains unchanged . Key benefits: No past bricks are recalculated or removed. Trading strategies can execute reliably without false signals. Renko-based logic can be applied on a time-based chart. How the Renko Emulator Works 1. Parameter Configuration & Initialization The script defines key user inputs and variables: brickSize : Defines the Renko brick size in price points, adjustable by the user. renkoPrice : Stores the closing price of the last completed Renko brick. prevRenkoPrice : Stores the price level of the previous Renko brick. brickDir : Tracks the direction of Renko bricks (1 = up, -1 = down). newBrick : A boolean flag that indicates whether a new Renko brick has been formed. brickStart : Stores the bar index at which the current Renko brick started. 2. Identifying Renko Brick Formation Without Repainting To ensure that the strategy does not repaint, Renko calculations are performed only on confirmed bars. The script calculates the difference between the current price and the last Renko brick level. If the absolute price difference meets or exceeds the brick size, a new Renko brick is formed. The new Renko price level is updated based on the number of bricks that would fit within the price movement. The direction (brickDir) is updated , and a flag ( newBrick ) is set to indicate that a new brick has been formed. 3. Visualizing Renko Bricks on a Time-Based Chart Since TradingView does not support live Renko charts without repainting, the script uses graphical elements to draw Renko-style bricks on a standard chart. Each time a new Renko brick forms, a colored rectangle (box) is drawn: Green boxes → Represent bullish Renko bricks. Red boxes → Represent bearish Renko bricks. This allows traders to see Renko-like formations on a time-based chart, while ensuring that past bricks do not change. Trading Strategy Implementation Since the Renko emulator provides a stable price structure, it is possible to apply a consistent trading strategy that would otherwise fail on a traditional Renko chart. 1. Entry Conditions A long trade is entered when: The previous Renko brick was bearish . The new Renko brick confirms an upward trend . There is no existing long position . A short trade is entered when: The previous Renko brick was bullish . The new Renko brick confirms a downward trend . There is no existing short position . 2. Exit Conditions Trades are closed when a trend reversal is detected: Long trades are closed when a new bearish brick forms. Short trades are closed when a new bullish brick forms. Key Characteristics of This Approach 1. No Historical Recalculation Once a Renko brick forms, it remains fixed and does not change. Past price action does not shift based on future data. 2. Trading Strategies Operate Consistently Since the Renko structure is stable, strategies can execute without unexpected changes in signals. Live trading results align more closely with backtesting performance. 3. Allows Renko Analysis Without Switching Chart Types Traders can apply Renko logic without leaving a standard time-based chart. This enables integration with indicators that normally cannot be used on traditional Renko charts. Considerations When Using This Strategy Trade execution may be delayed compared to standard Renko charts. Since new bricks are only confirmed on closed bars, entries may occur slightly later. Brick size selection is important. A smaller brickSize results in more frequent trades, while a larger brickSize reduces signals. Conclusion This Renko Emulation Strategy provides a method for using Renko-based trading strategies on a time-based chart without repainting. By ensuring that bricks do not change once formed, it allows traders to use stable Renko logic while avoiding the issues associated with traditional Renko charts. This approach enables accurate backtesting and reliable live execution, making it suitable for trend-following and swing trading strategies that rely on Renko price action.
Pine Script™ ストラテジー
PineIndicatorsの投稿
3
[3Commas] Turtle StrategyTurtle Strategy 🔷 What it does: This indicator implements a modernized version of the Turtle Trading Strategy, designed for trend-following and automated trading with webhook integration. It identifies breakout opportunities using Donchian channels, providing entry and exit signals. Channel 1: Detects short-term breakouts using the highest highs and lowest lows over a set period (default 20). Channel 2: Acts as a confirmation filter by applying an offset to the same period, reducing false signals. Exit Channel: Functions as a dynamic stop-loss (wait for candle close), adjusting based on market structure (default 10 periods). Additionally, traders can enable a fixed Take Profit level, ensuring a systematic approach to profit-taking. 🔷 Who is it for: Trend Traders: Those looking to capture long-term market moves. Bot Users: Traders seeking to automate entries and exits with bot integration. Rule-Based Traders: Operators who prefer a structured, systematic trading approach. 🔷 How does it work: The strategy generates buy and sell signals using a dual-channel confirmation system. Long Entry: A buy signal is generated when the close price crosses above the previous high of Channel 1 and is confirmed by Channel 2. Short Entry: A sell signal occurs when the close price falls below the previous low of Channel 1, with confirmation from Channel 2. Exit Management: The Exit Channel acts as a trailing stop, dynamically adjusting to price movements. To exit the trade, wait for a full bar close. Optional Take Profit (%): Closes trades at a predefined %. 🔷 Why it’s unique: Modern Adaptation: Updates the classic Turtle Trading Strategy, with the possibility of using a second channel with an offset to filter the signals. Dynamic Risk Management: Utilizes a trailing Exit Channel to help protect gains as trades move favorably. Bot Integration: Automates trade execution through direct JSON signal communication with your DCA Bots. 🔷 Considerations Before Using the Indicator: Market & Timeframe: Best suited for trending markets; higher timeframes (e.g., H4, D1) are recommended to minimize noise. Sideways Markets: In choppy conditions, breakouts may lead to false signals—consider using additional filters. Backtesting & Demo Testing: It is crucial to thoroughly backtest the strategy and run it on a demo account before risking real capital. Parameter Adjustments: Ensure that commissions, slippage, and position sizes are set accurately to reflect real trading conditions. 🔷 STRATEGY PROPERTIES Symbol: BINANCE:ETHUSDT (Spot). Timeframe: 4h. Test Period: All historical data available. Initial Capital: 10000 USDT. Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach. Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy. Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level. Margin for Long and Short Positions: 100%. Indicator Settings: Default Configuration. Period Channel 1: 20. Period Channel 2: 20. Period Channel 2 Offset: 20. Period Exit: 10. Take Profit %: Disable. Strategy: Long & Short. 🔷 STRATEGY RESULTS ⚠️Remember, past results do not guarantee future performance. Net Profit: +516.87 USDT (+5.17%). Max Drawdown: -100.28 USDT (-0.95%). Total Closed Trades: 281. Percent Profitable: 40.21%. Profit Factor: 1.704. Average Trade: +1.84 USDT (+1.80%). Average # Bars in Trades: 29. 🔷 How to Use It: 🔸 Adjust Settings: Select your asset and timeframe suited for trend trading. Adjust the periods for Channel 1, Channel 2, and the Exit Channel to align with the asset’s historical behavior. You can visualize these channels by going to the Style tab and enabling them. For example, if you set Channel 2 to 40 with an offset of 40, signals will take longer to appear but will aim for a more defined trend. Experiment with different values, a possible exit configuration is using 20 as well. Compare the results and adjust accordingly. Enable the Take Profit (%) option if needed. 🔸Results Review: It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed. Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic. If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds. 🔸Create alerts to trigger the DCA Bot: Verify Messages: Ensure the message matches the one specified by the DCA Bot. Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format. Signal Settings: Enable the option to receive long or short signals (Entry | TP | SL), copy and paste the messages for the DCA Bots configured. Alert Setup: When creating an alert, set the condition to the indicator and choose "alert() function call only". Enter any desired Alert Name. Open the Notifications tab, enable Webhook URL, and paste the Webhook URL. For more details, refer to the section: "How to use TradingView Custom Signals". Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format. 🔷 INDICATOR SETTINGS Period Channel 1: Period of highs and lows to trigger signals Period Channel 2: Period of highs and lows to filter signals Offset: Move Channel 2 to the right x bars to try to filter out the favorable signals. Period Exit: It is the period of the Donchian channel that is used as trailing for the exits. Strategy: Order Type direction in which trades are executed. Take Profit %: When activated, the entered value will be used as the Take Profit in percentage from the entry price level. Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart. Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze. Check Messages: Check Messages: Enable this option to review the messages that will be sent to the bot. Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals. Deal Entry and Deal Exit: Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the bot so that it can process properly. DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the correct format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot. 👨🏻‍💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented. __ The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Pine Script™ ストラテジー
3Commasの投稿
Strategy SuperTrend SDI WebhookThis Pine Script™ strategy is designed for automated trading in TradingView. It combines the SuperTrend indicator and Smoothed Directional Indicator (SDI) to generate buy and sell signals, with additional risk management features like stop loss, take profit, and trailing stop. The script also includes settings for leverage trading, equity-based position sizing, and webhook integration. Key Features 1. Date-based Trade Execution The strategy is active only between the start and end dates set by the user. times ensures that trades occur only within this predefined time range. 2. Position Sizing and Leverage Uses leverage trading to adjust position size dynamically based on initial equity. The user can set leverage (leverage) and percentage of equity (usdprcnt). The position size is calculated dynamically (initial_capital) based on account performance. 3. Take Profit, Stop Loss, and Trailing Stop Take Profit (tp): Defines the target profit percentage. Stop Loss (sl): Defines the maximum allowable loss per trade. Trailing Stop (tr): Adjusts dynamically based on trade performance to lock in profits. 4. SuperTrend Indicator SuperTrend (ta.supertrend) is used to determine the market trend. If the price is above the SuperTrend line, it indicates an uptrend (bullish). If the price is below the SuperTrend line, it signals a downtrend (bearish). Plots visual indicators (green/red lines and circles) to show trend changes. 5. Smoothed Directional Indicator (SDI) SDI helps to identify trend strength and momentum. It calculates +DI (bullish strength) and -DI (bearish strength). If +DI is higher than -DI, the market is considered bullish. If -DI is higher than +DI, the market is considered bearish. The background color changes based on the SDI signal. 6. Buy & Sell Conditions Long Entry (Buy) Conditions: SDI confirms an uptrend (+DI > -DI). SuperTrend confirms an uptrend (price crosses above the SuperTrend line). Short Entry (Sell) Conditions: SDI confirms a downtrend (+DI < -DI). SuperTrend confirms a downtrend (price crosses below the SuperTrend line). Optionally, trades can be filtered using crossovers (occrs option). 7. Trade Execution and Exits Market entries: Long (strategy.entry("Long")) when conditions match. Short (strategy.entry("Short")) when bearish conditions are met. Trade exits: Uses predefined take profit, stop loss, and trailing stop levels. Positions are closed if the strategy is out of the valid time range. Usage Automated Trading Strategy: Can be integrated with webhooks for automated execution on supported trading platforms. Trend-Following Strategy: Uses SuperTrend & SDI to identify trend direction and strength. Risk-Managed Leverage Trading: Supports position sizing, stop losses, and trailing stops. Backtesting & Optimization: Can be used for historical performance analysis before deploying live. Conclusion This strategy is suitable for traders who want to automate their trading using SuperTrend and SDI indicators. It incorporates risk management tools like stop loss, take profit, and trailing stop, making it adaptable for leverage trading. Traders can customize settings, conduct backtests, and integrate it with webhooks for real-time trade execution. 🚀 Important Note: This script is provided for educational and template purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Pine Script™ ストラテジー
erdas0の投稿
is_strategyCorrection-Adaptive Trend Strategy (Open-Source) Core Advantage: Designed specifically for the is_correction indicator, with full transparency and customization options. Key Features: Open-Source Code: ✅ Full access to the strategy logic – study how every trade signal is generated. ✅ Freedom to customize – modify entry/exit rules, risk parameters, or add new indicators. ✅ No black boxes – understand and trust every decision the strategy makes. Built for is_correction: Filters out false signals during market noise. Works only in confirmed trends (is_correction = false). Adaptable for Your Needs: Change Take Profit/Stop Loss ratios directly in the code. Add alerts, notifications, or integrate with other tools (e.g., Volume Profile). For Developers/Traders: Use the code as a template for your own strategies. Test modifications risk-free on historical data. How the Strategy Works: Main Goal: Automatically buys when the price starts rising and sells when it starts falling, but only during confirmed trends (ignoring temporary pullbacks). What You See on the Chart: 📈 Up arrows ▼ (below the candle) = Buy signal. 📉 Down arrows ▲ (above the candle) = Sell signal. Gray background = Market is in a correction (no trades). Key Mechanics: Buy Condition: Price closes higher than the previous candle + is_correction confirms the main trend (not a pullback). Example: Red candle → green candle → ▼ arrow → buy. Sell Condition: Price closes lower than the previous candle + is_correction confirms the trend (optional: turn off short-selling in settings). Exit Rules: Closes trades automatically at: +0.5% profit (adjustable in settings). -0.5% loss (adjustable). Or if a reverse signal appears (e.g., sell signal after a buy). User-Friendly Settings: Sell – On (default: ON): ON → Allows short-selling (selling when price falls). OFF → Strategy only buys and closes positions. Revers (default: OFF): ON → Inverts signals (▼ = sell, ▲ = buy). %Profit & %Loss: Adjust these values (0-30%) to increase/decrease profit targets and risk. Example Scenario: Buy Signal: Price rises for 3 days → green ▼ arrow → strategy buys. Stop loss set 0.5% below entry price. If price keeps rising → trade closes at +0.5% profit. Correction Phase: After a rally, price drops for 1 day → gray background → strategy ignores the drop (no action). Stop Loss Trigger: If price drops 0.5% from entry → trade closes automatically. Key Features: Correction Filter (is_correction): Acts as a “noise filter” → avoids trades during temporary pullbacks. Flexibility: Disable short-selling, flip signals, or tweak profit/loss levels in seconds. Transparency: Open-source code → see exactly how every signal is generated (click “Source” in TradingView). Tips for Beginners: Test First: Run the strategy on historical data (click the “Chart” icon in TradingView). See how it performed in the past. Customize It: Increase %Profit to 2-3% for volatile assets like crypto. Turn off Sell – On if short-selling confuses you. Trust the Stop Loss: Even if you think the price will rebound, the strategy will close at -0.5% to protect your capital. Where to Find Settings: Click the strategy name on the top-left of your chart → adjust sliders/toggles in the menu. Русская Версия Трендовая стратегия с открытым кодом Главное преимущество: Полная прозрачность логики и адаптация под ваши нужды. Особенности: Открытый исходный код: ✅ Видите всю «кухню» стратегии – как формируются сигналы, когда открываются сделки. ✅ Меняйте правила – корректируйте тейк-профит, стоп-лосс или добавляйте новые условия. ✅ Никаких секретов – вы контролируете каждое правило. Заточка под is_correction: Игнорирует ложные сигналы в коррекциях. Работает только в сильных трендах (is_correction = false). Гибкая настройка: Подстройте параметры под свой риск-менеджмент. Добавьте свои индикаторы или условия для входа. Для трейдеров и разработчиков: Используйте код как основу для своих стратегий. Тестируйте изменения на истории перед реальной торговлей. Простыми словами: Почему это удобно: Открытый код = полный контроль. Вы можете: Увидеть, как именно стратегия решает купить или продать. Изменить правила закрытия сделок (например, поставить TP=2% вместо 1.5%). Добавить новые условия (например, торговать только при высоком объёме). Примеры кастомизации: Новички: Меняйте только TP/SL в настройках (без кодинга). Продвинутые: Добавьте RSI-фильтр, чтобы избегать перекупленности. Разработчики: Встройте стратегию в свою торговую систему. Как начать: Скачайте код из TradingView. Изучите логику в разделе strategy.entry/exit. Меняйте параметры в блоке input.* (безопасно!). Тестируйте изменения и оптимизируйте под свои цели. Как работает стратегия: Главная задача: Автоматически покупает, когда цена начинает расти, и продаёт, когда падает. Но делает это «умно» — только когда рынок в основном тренде, а не во временном откате (коррекции). Что видно на графике: 📈 Стрелки вверх ▼ (под свечой) — сигнал на покупку. 📉 Стрелки вниз ▲ (над свечой) — сигнал на продажу. Серый фон — рынок в коррекции (не торгуем). Как это работает: Когда покупаем: Если цена закрылась выше предыдущей и индикатор is_correction показывает «основной тренд» (не коррекция). Пример: Была красная свеча → стала зелёная → появилась стрелка ▼ → покупаем. Когда продаём: Если цена закрылась ниже предыдущей и is_correction подтверждает тренд (опционально, можно отключить в настройках). Когда закрываем сделку: Автоматически при достижении: +0.5% прибыли (можно изменить в настройках). -0.5% убытка (можно изменить). Или если появился противоположный сигнал (например, после покупки пришла стрелка продажи). Настройки для чайников: «Sell – On» (включено по умолчанию): Если включено → стратегия будет продавать в шорт. Если выключено → только покупки и закрытие позиций. «Revers» (выключено по умолчанию): Если включить → стратегия будет работать наоборот (стрелки ▼ = продажа, ▲ = покупка). «%Profit» и «%Loss»: Меняйте эти цифры (от 0 до 30), чтобы увеличить/уменьшить прибыль и риски. Пример работы: Сигнал на покупку: Цена 3 дня растет → появляется зелёная стрелка ▼ → стратегия покупает. Стоп-лосс ставится на 0.5% ниже цены входа. Если цена продолжает расти → сделка закрывается при +0.5% прибыли. Коррекция: После роста цена падает на 1 день → фон становится серым → стратегия игнорирует это падение (не закрывает сделку). Стоп-лосс: Если цена упала на 0.5% от точки входа → сделка закрывается автоматически. Важные особенности: Фильтр коррекций (is_correction): Это «защита от шума» — стратегия не реагирует на мелкие откаты, работая только в сильных трендах. Гибкие настройки: Можно запретить шорты, перевернуть сигналы или изменить уровни прибыли/убытка за 2 клика. Прозрачность: Весь код открыт → вы можете увидеть, как формируется каждый сигнал (меню «Исходник» в TradingView). Советы для новичков: Начните с теста: Запустите стратегию на исторических данных (кнопка «Свеча» в окне TradingView). Посмотрите, как она работала в прошлом. Настройте под себя: Увеличьте %Profit до 2-3%, если торгуете валюты. Отключите «Sell – On», если не понимаете шорты. Доверяйте стоп-лоссу: Даже если кажется, что цена развернётся — стратегия закроет сделку при -0.5%, защитив ваш депозит. Где найти настройки: Кликните на название стратегии в верхнем левом углу графика → откроется меню с ползунками и переключателями. Важно: Стратегия предоставляет «рыбу» – чтобы она стала «уловистой», адаптируйте её под свой стиль торговли!
Pine Script™ ストラテジー
JinFlarkの投稿
Breakouts With Timefilter Strategy [LuciTech]This strategy captures breakout opportunities using pivot high/low breakouts while managing risk through dynamic stop-loss placement and position sizing. It includes a time filter to limit trades to specific sessions. How It Works A long trade is triggered when price closes above a pivot high, and a short trade when price closes below a pivot low. Stop-loss can be set using ATR, prior candle high/low, or a fixed point value. Take-profit is based on a risk-reward multiplier. Position size adjusts based on the percentage of equity risked. Breakout signals are marked with triangles, and entry, stop-loss, and take-profit levels are plotted. moving average filter: Bullish breakouts only trigger above the MA, bearish breakouts below. The time filter shades the background during active trading hours. Customization: Adjustable pivot length for breakout sensitivity. Risk settings: percentage risked, risk-reward ratio, and stop-loss type. ATR settings: length, smoothing method (RMA, SMA, EMA, WMA). Moving average filter (SMA, EMA, WMA, VWMA, HMA) to confirm breakouts.
Pine Script™ ストラテジー
TradesLuciの投稿