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Soportes y Resistencias con Volumen EXTERMINIUN 2025 Explicación: Parámetros: Puedes ajustar el período (length) para calcular soportes y resistencias, y el volMultiplier para el volumen. Soportes y Resistencias: Se calculan usando las funciones ta.highest y ta.lowest sobre un número de barras definidas por length. Volumen: La condición de volumen compara el volumen actual con un promedio móvil de volumen multiplicado por volMultiplier. Señales de Compra/Venta: Se generan cuando el precio cruza por encima de la resistencia o por debajo del soporte, y se confirma con un volumen superior al promedio ajustado.
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joelareyan1529の投稿
Mean Reversion Pro Strategy [tradeviZion]Mean Reversion Pro Strategy : User Guide A mean reversion trading strategy for daily timeframe trading. Introduction Mean Reversion Pro Strategy is a technical trading system that operates on the daily timeframe. The strategy uses a dual Simple Moving Average (SMA) system combined with price range analysis to identify potential trading opportunities. It can be used on major indices and other markets with sufficient liquidity. The strategy includes: Trading System Fast SMA for entry/exit points (5, 10, 15, 20 periods) Slow SMA for trend reference (100, 200 periods) Price range analysis (20% threshold) Position management rules Visual Elements Gradient color indicators Three themes (Dark/Light/Custom) ATR-based visuals Signal zones Status Table Current position information Basic performance metrics Strategy parameters Optional messages 📊 Strategy Settings Main Settings Trading Mode Options: Long Only, Short Only, Both Default: Long Only Position Size: 10% of equity Starting Capital: $20,000 Moving Averages Fast SMA: 5, 10, 15, or 20 periods Slow SMA: 100 or 200 periods Default: Fast=5, Slow=100 🎯 Entry and Exit Rules Long Entry Conditions All conditions must be met: Price below Fast SMA Price below 20% of current bar's range Price above Slow SMA No existing position Short Entry Conditions All conditions must be met: Price above Fast SMA Price above 80% of current bar's range Price below Slow SMA No existing position Exit Rules Long Positions Exit when price crosses above Fast SMA No fixed take-profit levels No stop-loss (mean reversion approach) Short Positions Exit when price crosses below Fast SMA No fixed take-profit levels No stop-loss (mean reversion approach) 💼 Risk Management Position Sizing Default: 10% of equity per trade Initial capital: $20,000 Commission: 0.01% Slippage: 2 points Maximum one position at a time Risk Control Use daily timeframe only Avoid trading during major news events Consider market conditions Monitor overall exposure 📊 Performance Dashboard The strategy includes a comprehensive status table displaying: Strategy Parameters Current SMA settings Trading direction Fast/Slow SMA ratio Current Status Active position (Flat/Long/Short) Current price with color coding Position status indicators Performance Metrics Net Profit (USD and %) Win Rate with color grading Profit Factor with thresholds Maximum Drawdown percentage Average Trade value 📱 Alert Settings Entry Alerts Long Entry (Buy Signal) Short Entry (Sell Signal) Exit Alerts Long Exit (Take Profit) Short Exit (Take Profit) Alert Message Format Strategy name Signal type and direction Current price Fast SMA value Slow SMA value 💡 Usage Tips Consider starting with Long Only mode Begin with default settings Keep track of your trades Review results regularly Adjust settings as needed Follow your trading plan ⚠️ Disclaimer This strategy is for educational and informational purposes only. It is not financial advice. Always: Conduct your own research Test thoroughly before live trading Use proper risk management Consider your trading goals Monitor market conditions Never risk more than you can afford to lose 📝 Credits Inspired by: "Mean Reversion Trading Strategy for a High Win Rate" - YouTube channel "The Transparent Trader" "Highly Reliable Mean Reversion Trading Strategy Backtested x Millions of Trades" - YouTube channel "seriousbacktester" "Trade with Discipline, Manage Risk, Stay Consistent" - tradeviZion
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TradeVizionの投稿
Sloogals Bollinger Bands Strategy📈 Sloogals Bollinger Bands Trading Strategy - Simple & Effective! 📉 🔹 Strategy Name: Bollinger Bands Strategy 🔹 Works On: Stocks, Forex, Crypto, and Indices 🔹 Best Timeframe: 5m, 15m, 1H, or 4H (adjustable) 🔹 Risk-Reward Ratio: 2:1 (Default) -------------------------------------------------------------------- 🚀 How It Works: This strategy automatically trades using Bollinger Bands, a popular indicator for spotting price breakouts and reversals. ✅ Buys (Long Entry) when the price crosses above the Lower Bollinger Band (oversold condition). ✅ Sells (Short Entry) when the price crosses below the Upper Bollinger Band (overbought condition). ✅ Closes positions when the price returns to the Middle Bollinger Band (mean reversion). It also includes stop loss and take profit to protect your capital and maximize profits! ------------------------------------------------------------------- 📊 Key Features: ✅ Automatic Trading & Paper Trading - Simulated trades in TradingView's Strategy Tester ✅ Adjustable Stop Loss & Take Profit - Default 1% SL, 2% TP for a 2:1 Risk-Reward ✅ Smart Alerts - Get notified via sound in the browser when a trade triggers ✅ Performance Dashboard - Track account balance, profit, and win rate in real time ✅ Dynamic Position Sizing - Trades a fixed % of your account equity ------------------------------------------------------------------- 📢 How to Use It: 1️⃣ Add the script to your TradingView chart 2️⃣ Go to “Strategy Tester” and check backtest results 3️⃣ Enable Paper Trading to test it in real-time 4️⃣ Set up Alerts for trade signals -------------------------------------------------------------- 📌 Adjustments You Can Make: 🔹 Change Bollinger Band Settings (bbLength, bbStdDev) 🔹 Modify Stop Loss & Take Profit % to match your risk tolerance 🔹 Customize Alerts for SMS, email, or webhook notifications
Pineスクリプト™ ストラテジー
sluglifedailyの投稿
Strategia Bollinger-Fibonacci-SMALa strategia che abbiamo sviluppato combina diversi indicatori tecnici per identificare potenziali opportunità di trading. Essa si basa su: Bande di Bollinger: Misurano la volatilità del mercato e forniscono segnali di sovracomprato e sottovenduto. Ritracciamenti di Fibonacci: Identificano potenziali livelli di supporto e resistenza basati su rapporti matematici. Medie Mobili: Misurano la tendenza del mercato a breve e lungo termine. La strategia entra a mercato quando si verificano determinate condizioni relative a questi indicatori, come ad esempio quando il prezzo attraversa la banda inferiore di Bollinger e si trova vicino a un livello di ritracciamento di Fibonacci. Analisi Dettagliata degli Elementi Bande di Bollinger: Funzione: Misurano la volatilità del mercato e forniscono un'indicazione visiva dei livelli di sovracomprato e sottovenduto. Interpretazione: Quando il prezzo si trova al di fuori delle bande, potrebbe essere un segnale di una condizione di mercato estrema. Nella nostra strategia: Le bande di Bollinger vengono utilizzate per identificare potenziali punti di ingresso e uscita dal mercato. Ritracciamenti di Fibonacci: Funzione: Identificano potenziali livelli di supporto e resistenza basati su rapporti matematici derivati dalla sequenza di Fibonacci. Interpretazione: I livelli di Fibonacci rappresentano i punti in cui il prezzo potrebbe invertire la sua direzione. Nella nostra strategia: I livelli di Fibonacci vengono utilizzati in combinazione con le Bande di Bollinger per confermare i segnali di ingresso. Medie Mobili: Funzione: Misurano la tendenza del mercato a breve e lungo termine. Interpretazione: Un incrocio tra due medie mobili può indicare un cambio di tendenza. Nella nostra strategia: Le medie mobili vengono utilizzate come filtro aggiuntivo per confermare i segnali generati dalle Bande di Bollinger e dai livelli di Fibonacci. Condizioni di Ingresso: La strategia entra a lungo quando: Il prezzo attraversa la banda inferiore di Bollinger in direzione ascendente. Il prezzo si trova al di sotto del livello di ritracciamento di Fibonacci specificato. La media mobile a breve termine è superiore alla media mobile a lungo termine. La strategia entra a corto quando si verificano le condizioni opposte. Stop-Loss e Take Profit: Per gestire il rischio, la strategia utilizza stop-loss e take-profit dinamici, calcolati in base al prezzo di entrata e a una percentuale predefinita. Vantaggi e Svantaggi Vantaggi: Multipla conferma: La strategia si basa su più indicatori, fornendo una conferma più robusta dei segnali di trading. Flessibilità: I parametri della strategia possono essere personalizzati per adattarsi a diversi stili di trading e mercati. Gestione del rischio: L'utilizzo di stop-loss e take-profit aiuta a limitare le perdite e a proteggere i profitti. Svantaggi: Nessuna strategia è infallibile: Anche la migliore strategia può generare perdite. Requisiti di monitoraggio: La strategia richiede un monitoraggio costante per garantire che i parametri siano ancora validi e per reagire ai cambiamenti del mercato. Complessità: La combinazione di più indicatori può rendere la strategia più difficile da comprendere e implementare. Conclusioni Questa strategia rappresenta un tentativo di combinare diversi strumenti tecnici per identificare potenziali opportunità di trading. Tuttavia, è importante sottolineare che il trading comporta sempre un rischio e che nessuna strategia può garantire profitti. È fondamentale testare accuratamente la strategia su dati storici e adattarla al proprio stile di trading personale.
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intelligentTor85306の投稿
The Gold Box StrategySuggestions for Improving Entry and Exit Signals: 1. Filtering Signals with EMA Confluence: Ensure that buy signals (bullish engulfing) are only triggered when the price is above the 20 EMA. Ensure that sell signals (bearish engulfing) are only triggered when the price is below the 20 EMA. This will reduce false signals and ensure trades are taken in the direction of the overall trend. 2. Round Number Levels Filtering: You can add a condition to only allow entries when the price is near round numbers (e.g., within a certain dollar range from $5 intervals like 1775, 1780, etc.). 3. Session Filtering: Ensure that trades are only taken during active trading sessions (London or New York) to avoid low-volatility periods where false signals are more likely.
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maatheshtraderの投稿
FON60DK by leventsahThe strategy generates buy and sell signals using the Tillson T3 and TOTT (Twin Optimized Trend Tracker) indicators. Additionally, the Williams %R indicator is used to filter the signals. Below is an explanation of the main components of the code: 1. Input Parameters: Tillson T3 and TOTT parameters: Separate parameters are defined for both buy (AL) and sell (SAT) conditions. These parameters control the sensitivity and behavior of the indicators. Williams %R period: The period for the Williams %R indicator is set to determine overbought and oversold levels. 2. Tillson T3 Calculation: The Tillson T3 indicator is a smoothed moving average that uses an exponential moving average (EMA) with additional smoothing. The formula calculates a weighted average of multiple EMAs to produce a smoother line. The t3 function computes the Tillson T3 value based on the close price and the input parameters. 3. TOTT Calculation (Twin Optimized Trend Tracker): The TOTT indicator is a trend-following tool that adjusts its sensitivity based on market conditions. It uses a combination of price action and a volatility coefficient to determine trend direction. The Var_Func function calculates the TOTT value, which is then used to derive the OTT (Optimized Trend Tracker) levels for both buy and sell conditions. 4. Williams %R Calculation: Williams %R is a momentum oscillator that measures overbought and oversold levels. It is calculated using the highest high and lowest low over a specified period. 5. Buy and Sell Conditions: Buy Condition: A buy signal is generated when the Tillson T3 value crosses above the TOTT upper band (OTTup) and the Williams %R is above -20 (indicating an oversold condition). Sell Condition: A sell signal is generated when the Tillson T3 value crosses below the TOTT lower band (OTTdnS) and the Williams %R is above -70 (used to close long positions). 6. Strategy Execution: The strategy.entry function is used to open a long position when the buy condition is met. The strategy.close function is used to close the long position when the sell condition is met. 7. Visualization: The bars on the chart are colored green when a long position is open. The Tillson T3, TOTT upper band (OTTup), and TOTT lower band (OTTdn) are plotted on the chart for both buy and sell conditions. 8. Plots: The Tillson T3 values for buy and sell conditions are plotted in blue. The TOTT upper and lower bands are plotted in green and red, respectively, for both buy and sell conditions. Summary: This strategy combines trend-following indicators (Tillson T3 and TOTT) with a momentum oscillator (Williams %R) to generate buy and sell signals. The use of separate parameters for buy and sell conditions allows for fine-tuning the strategy based on market behavior. The visual elements, such as colored bars and plotted indicators, help traders quickly identify signals and trends on the chart.
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leventsahの投稿
2
Breakout StrategyThe strategy aims to capture upward price movements (breakouts) by observing when the price exceeds a predefined range, known as the Donchian Channel, while also ensuring trading volume supports the move. When Does It Open a Long Trade? The strategy opens a long trade (buy position) when both of these conditions are met: 1. Price Breaks Above the Upper Band - The current closing price is higher than the Upper Band of the Donchian Channel. - This indicates a potential breakout, signaling upward momentum. 2. High Volume Confirmation - The current trading volume is greater than 1.9 times the average volume over the Donchian Channel's length. - This ensures the breakout is backed by significant market activity, reducing the chance of false signals. Only when both conditions are true, the strategy will execute a long entry. When Does It Close the Trade? The strategy closes the long trade (exits the position) when: 1. Price Falls Below the Middle Band - The closing price drops below the Middle Band of the Donchian Channel. - This acts as a reversal signal, suggesting the upward momentum has weakened, and it’s time to exit the trade.
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Vals2711の投稿
10
High-Low Breakout Strategy (Long Only)This script is a simple yet effective breakout strategy designed for long-only trades. The logic is straightforward: - ** Entry Condition **: Enter long when the close price exceeds the previous high. - ** Exit Condition **: Exit the position when the close price drops below the previous low. Features: - Automatically identifies the previous high and low for every bar. - Displays these levels on the chart for easy reference. Use this script for backtesting and exploring breakout opportunities in various markets. Let us know your thoughts and how it works for you in the comments! Disclaimer : This script is for educational purposes only and is not financial advice. Past performance does not guarantee future results. - Perfect for trend-following traders looking for a mechanical, rule-based approach.
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Kirubakaran_Rajendranの投稿
Simple 5-8-13 StrategyThe Simple 5-8-13 SMA Strategy is a trend-following trading system that uses three Simple Moving Averages (SMA) with periods of 5, 8, and 13. The strategy generates buy signals when the shorter-term moving averages cross above the longer-term ones (specifically when SMA5 > SMA8 > SMA13), indicating an upward trend. Sell signals are generated when the shortest moving average falls below both longer averages (SMA5 < SMA8 and SMA5 < SMA13), suggesting a downward trend. This strategy is designed to work on 15-minute timeframes and aims to capture medium-term price movements. Like all trading strategies, it should be used in conjunction with proper risk management and other technical analysis tools.
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mikdatdogruの投稿
Ichimoku + RSI + MACD + HTF Divergence + EMA Cross Strategyبا اضافه کردن کراس‌های EMA 50 و 100، استراتژی بهبود یافته و نقاط ورود دقیق‌تری ایجاد می‌کند. این کراس‌ها به عنوان تأییدیه‌های اضافی برای روند و قدرت حرکت قیمت عمل می‌کنند و می‌توانند به کاهش سیگنال‌های نادرست کمک کنند
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mosino2019の投稿
Ichimoku + RSI + MACD + HTF Divergence + EMA Cross Strategyبا اضافه کردن کراس‌های EMA 50 و 100، استراتژی بهبود یافته و نقاط ورود دقیق‌تری ایجاد می‌کند. این کراس‌ها به عنوان تأییدیه‌های اضافی برای روند و قدرت حرکت قیمت عمل می‌کنند و می‌توانند به کاهش سیگنال‌های نادرست کمک کنند
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mosino2019の投稿
20 EMA Crossover 50 EMA20 EMA & 50 EMA Crossover Strategy This strategy uses a simple yet effective moving average crossover technique to identify trend changes in the market. Rules: A buy signal is triggered when the 20 EMA crosses above the 50 EMA, indicating a bullish trend. The position is exited (or a sell signal is triggered) when the 20 EMA crosses below the 50 EMA, indicating a bearish trend. Key Features: Plots clear buy and sell signals directly on the chart. Fully customizable EMA lengths to suit different markets and timeframes. Ideal for trend-following traders seeking to capture sustained price movements. Pros: Simple and objective rule-based approach. Adaptable across multiple asset classes (stocks, forex, crypto, etc.). Cons: May generate false signals in sideways markets. This script allows you to backtest and refine the strategy directly on TradingView, helping traders understand the importance of consistent execution and risk management in achieving long-term success. How It Works: Inputs: The script allows you to adjust the lengths of the fast (20 EMA) and slow (50 EMA) EMAs. A longCondition is triggered when the 20 EMA crosses above the 50 EMA. A shortCondition is triggered when the 20 EMA crosses below the 50 EMA. Entries and Exits: When longCondition is true, the strategy enters a long position. When shortCondition is true, the strategy closes the long position. Plot Signals: Buy and sell signals are visually marked on the chart with green and red labels. To Use This: Copy and paste the script into the Pine Editor in TradingView. Save and add it to your chart. Adjust the settings (EMA lengths) as needed. This script provides a foundation for backtesting and can be expanded to include features like stop-loss, take-profit, or advanced money management rules. Let me know if you'd like to enhance it further!
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Kirubakaran_Rajendranの投稿
Advanced Strategy with Bollinger, Fibonacci, and ATR MSDBu strateji kısa zaman dilimlerinde trend ve volatiliteyi analiz ederek kısa vadeli işlemler için optimize edilmiştir. Stratejinin temel unsurları RSI, MACD, EMA, Bollinger bandı, Fibonacci seviyeleri, ATR ile desteklenmiştir risk yönetimi Stop-loss ATR'nin 1.5 katı Take-profit ATR'nin 3 katıdır. 15 dakikalık zaman dilimlerinde en iyi performansı göstermesi için optimize edilmiştir. Hem manuel işlem rehberi hemde otomatik işlem sinyalleri için uygundur.
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MSD34の投稿
反彈三次突破策略策略說明 (Strategy Explanation) 英文 (English) This strategy is called "反彈三次突破策略" (Three Rebound Breakthrough Strategy). It is designed to identify and trade based on three consecutive price drops followed by a rebound, ensuring certain conditions are met before entering a trade. The key components and conditions of this strategy are as follows: Moving Averages (MAs): Fast MA: The short-term moving average (e.g., 5 periods). Slow MA: The long-term moving average (e.g., 20 periods). The crossover of these MAs generates buy (long) and sell (short) signals. Average True Range (ATR): Used to calculate volatility and set stop-loss and take-profit levels. Three Consecutive Drops and Rebounds: The strategy identifies three consecutive drops in price, each creating a new lower low (low1, low2, low3). After the third drop, the price must rebound and break above the previous low's rebound height. Parallel Channel: A parallel channel is drawn between the lowest points (low1 and low3) to visualize the price range. Two lines (lower and upper) form the channel. Entry and Exit Conditions: Entry signals are based on MA crossovers and the three rebound condition. Stop-loss and take-profit levels are set using ATR-based calculations. Labels are added to the chart to indicate stop-loss and take-profit points. 中文 (Chinese) 這個策略叫做 "反彈三次突破策略"。其目的是識別並基於三次連續價格下跌後的反彈進行交易，並確保在進行交易之前滿足某些條件。該策略的關鍵組成部分和條件如下： 移動平均線 (MAs): 快速均線：短期移動平均線（例如，5 期）。 慢速均線：長期移動平均線（例如，20 期）。 這些均線的交叉產生買入（做多）和賣出（做空）信號。 真實波動範圍 (ATR): 用於計算波動性並設置止損和止盈水平。 三次連續下跌和反彈： 該策略識別連續三次的價格下跌，每次都創下更低的低點（low1、low2、low3）。 在第三次下跌後，價格必須反彈並突破前一個低點的反彈高度。 平行通道： 在最低點（low1 和 low3）之間繪製平行通道，以可視化價格區間。 兩條線（下邊界和上邊界）形成通道。 進出場條件： 進場信號基於均線交叉和三次反彈條件。 使用基於 ATR 的計算設置止損和止盈水平。 在圖表上添加標籤以指示止損和止盈點。
Pineスクリプト™ ストラテジー
good20046の投稿