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Gold Pro StrategyHere’s the strategy description in a chat format: --- **Gold (XAU/USD) Trend-Following Strategy** This **trend-following strategy** is designed for trading gold (XAU/USD) by combining moving averages, MACD momentum indicators, and RSI filters to capture sustained trends while managing volatility risks. The strategy uses volatility-adjusted stops to protect gains and prevent overexposure during erratic price movements. The aim is to take advantage of trending markets by confirming momentum and ensuring entries are not made at extreme levels. --- **Key Components** 1. **Trend Identification** - **50 vs 200 EMA Crossover** - **Bullish Trend:** 50 EMA crosses above 200 EMA, and the price closes above the 200 EMA - **Bearish Trend:** 50 EMA crosses below 200 EMA, and the price closes below the 200 EMA 2. **Momentum Confirmation** - **MACD (12,26,9)** - **Buy Signal:** MACD line crosses above the signal line - **Sell Signal:** MACD line crosses below the signal line - **RSI (14 Period)** - **Bullish Zone:** RSI between 50-70 to avoid overbought conditions - **Bearish Zone:** RSI between 30-50 to avoid oversold conditions 3. **Entry Criteria** - **Long Entry:** Bullish trend, MACD bullish crossover, and RSI between 50-70 - **Short Entry:** Bearish trend, MACD bearish crossover, and RSI between 30-50 4. **Exit & Risk Management** - **ATR Trailing Stops (14 Period):** - Initial Stop: 3x ATR from entry price - Trailing Stop: Adjusts to lock in profits as price moves favorably - **Position Sizing:** 100% of equity per trade (high-risk strategy) --- **Key Logic Flow** 1. **Trend Filter:** Use the 50/200 EMA relationship to define the market's direction 2. **Momentum Confirmation:** Confirm trend momentum with MACD crossovers 3. **RSI Validation:** Ensure RSI is within non-extreme ranges before entering trades 4. **Volatility-Based Risk Management:** Use ATR stops to manage market volatility --- **Visual Cues** - **Blue Line:** 50 EMA - **Red Line:** 200 EMA - **Green Triangles:** Long entry signals - **Red Triangles:** Short entry signals --- **Strengths** - **Clear Trend Focus:** Avoids counter-trend trades - **RSI Filter:** Prevents entering overbought or oversold conditions - **ATR Stops:** Adapts to gold’s inherent volatility - **Simple Rules:** Easy to follow with minimal inputs --- **Weaknesses & Risks** - **Infrequent Signals:** 50/200 EMA crossovers are rare - **Potential Missed Opportunities:** Strict RSI criteria may miss some valid trends - **Aggressive Position Sizing:** 100% equity allocation can lead to large drawdowns - **No Profit Targets:** Relies on trailing stops rather than defined exit targets --- **Performance Profile** | Metric | Expected Range | |----------------------|---------------------| | Annual Trades | 4-8 | | Win Rate | 55-65% | | Max Drawdown | 25-35% | | Profit Factor | 1.8-2.5 | --- **Optimization Recommendations** 1. **Increase Trade Frequency** Adjust the EMAs to shorter periods: - `emaFastLen = input.int(30, "Fast EMA")` - `emaSlowLen = input.int(150, "Slow EMA")` 2. **Relax RSI Filters** Adjust the RSI range to: - `rsiBullish = rsi > 45 and rsi < 75` - `rsiBearish = rsi < 55 and rsi > 25` 3. **Add Profit Targets** Introduce a profit target at 1.5% above entry: ```pine strategy.exit("Long Exit", "Long", stop=longStopPrice, profit=close*1.015, // 1.5% target trail_offset=trailOffset) ``` 4. **Reduce Position Sizing** Risk a smaller percentage per trade: - `default_qty_value=25` --- **Best Use Case** This strategy excels in **strong trending markets** such as gold rallies during economic or geopolitical crises. However, during sideways or choppy market conditions, the strategy might require manual intervention to avoid false signals. Additionally, integrating fundamental analysis—like monitoring USD weakness or geopolitical risks—can enhance its effectiveness. --- This strategy offers a balanced approach for trading gold, combining trend-following principles with risk management tailored to the volatility of the market.
Стратегия Pine Script™
от zacharyongeri121
Momentum, RSI, and MACD Strategy with Stop Loss//@version=5 strategy("Momentum, RSI, and MACD Strategy with Stop Loss", overlay=true, calc_on_every_tick=true) // Input for Momentum length = input(12, title="Momentum Length") price = close // Input for RSI rsiLength = input(14, title="RSI Length") rsiSource = close rsiValue = ta.rsi(rsiSource, rsiLength) // Input for MACD fast_length = input(12, title="Fast Length") slow_length = input(26, title="Slow Length") src = close signal_length = input.int(9, title="Signal Smoothing") sma_source = input.string("EMA", title="Oscillator MA Type", options= ) sma_signal = input.string("EMA", title="Signal Line MA Type", options= ) // ATR Inputs and Calculation atrLength = input.int(title="ATR Length", defval=14, minval=1) smoothing = input.string(title="ATR Smoothing", defval="RMA", options= ) ma_function(source, length) => switch smoothing "RMA" => ta.rma(source, length) "SMA" => ta.sma(source, length) "EMA" => ta.ema(source, length) => ta.wma(source, length) atrValue = ma_function(ta.tr(true), atrLength) // Calculating Momentum momentum(seria, length) => mom = seria - seria mom mom0 = momentum(price, length) mom1 = momentum(mom0, 1) // Calculating MACD fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length) slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length) macd = fast_ma - slow_ma signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length) hist = macd - signal // Long Entry Condition longCondition = mom0 > 0 and mom1 > 0 and rsiValue > 50 and macd > 0 if (longCondition) strategy.entry("MomRSIMACD Long", strategy.long, stop=high+syminfo.mintick, comment="MomRSIMACD Long") strategy.exit("Exit Long", from_entry="MomRSIMACD Long", stop=price-15, limit=price+15) // Short Entry Condition shortCondition = mom0 < 0 and mom1 < 0 and rsiValue < 50 and macd < 0 if (shortCondition) strategy.entry("MomRSIMACD Short", strategy.short, stop=low-syminfo.mintick, comment="MomRSIMACD Short") strategy.exit("Exit Short", from_entry="MomRSIMACD Short", stop=price+15, limit=price-15)
Стратегия Pine Script™
от Odin2
Ultimate Binance Day Trading Strategy### **Ultimate Binance Day Trading Strategy – Description** #### **Overview** The **Ultimate Binance Day Trading Strategy** is a high-performance **backtesting tool** for TradingView, designed for **day traders and scalpers** on Binance. This strategy uses a combination of **trend-following, momentum, and volatility indicators** to provide **high-accuracy buy & sell signals**, helping traders maximize intraday profits. Built for **any Binance trading pair** (BTC, ETH, SOL, BNB, XRP, etc.), this strategy is optimized for **short-term trades** with automated **stop-loss and take-profit** features. It can be **fully automated** using **TradingView alerts and Binance API bots**. --- #### **How the Strategy Works** This strategy generates **Buy & Sell signals** based on the combination of the following technical indicators: ✅ **Exponential Moving Averages (EMA)** – Confirms trend direction using **fast & slow EMA crossovers**. ✅ **Relative Strength Index (RSI)** – Ensures **momentum confirmation**, preventing overbought/oversold traps. ✅ **MACD (Moving Average Convergence Divergence)** – Helps in **trend strength confirmation** using **bullish/bearish crossovers**. ✅ **Bollinger Bands (BB)** – Identifies **high-probability reversal points** when price reaches extreme bands. ✅ **Volume Confirmation** – **Filters out weak signals** by ensuring trades occur with **high market volume**. --- #### **Buy & Sell Conditions** 📈 **Buy Signal (Long Entry)** - **Fast EMA crosses above Slow EMA** (bullish trend confirmation) - **RSI > 50** (bullish momentum) - **MACD Bullish Crossover** (momentum shift confirmation) - **Price near lower Bollinger Band** (oversold & ready for reversal) - **High trading volume** (valid breakout confirmation) 📉 **Sell Signal (Short Entry)** - **Fast EMA crosses below Slow EMA** (bearish trend confirmation) - **RSI < 50** (bearish momentum) - **MACD Bearish Crossover** (momentum shift confirmation) - **Price near upper Bollinger Band** (overbought & ready for reversal) - **High trading volume** (valid breakdown confirmation) --- #### **Risk Management & Automated Exits** To ensure **profit protection and risk minimization**, the strategy includes: ✅ **Stop-Loss Protection** – Automatically exits a trade if price moves **1.5% against the position** (adjustable). ✅ **Take-Profit Target** – Locks in profits **at 3.0% gain** from entry (adjustable). ✅ **Dynamic Exit Orders** – Ensures risk-reward ratio remains **profitable over time**. --- #### **Features & Benefits** 🚀 **Backtest Performance Before Live Trading** – Evaluate strategy results on historical Binance data. 📡 **TradingView Alerts for Auto-Trading** – Set up webhooks for **Binance API integration**. 📊 **Works on Any Binance Token** – BTC, ETH, SOL, BNB, XRP, ADA, and more. ⚡ **Optimized for Scalping & Day Trading** – Best for **1m, 5m, 15m, and 1h timeframes**. 🔄 **Customizable Settings** – Adjust EMA, RSI, MACD, Bollinger Bands, and stop-loss/take-profit levels. --- #### **How to Use This Strategy** 1️⃣ **Apply the strategy to your TradingView chart** 2️⃣ **Select a Binance trading pair (BTC/USDT, ETH/USDT, etc.)** 3️⃣ **Run the backtest & analyze results in the Strategy Tester** 4️⃣ **Adjust settings to optimize performance** 5️⃣ **Use TradingView alerts to automate trades on Binance** --- ### **🚀 Take Your Day Trading to the Next Level!** The **Ultimate Binance Day Trading Strategy** is perfect for traders who want **a reliable, data-driven approach to intraday trading**. With advanced **technical indicators and automation-ready alerts**, this strategy provides a **powerful edge in volatile crypto markets**. 💰 **Use this strategy to backtest, optimize, and automate your Binance trades!** 🚀 👉 **Apply it to your TradingView chart now and start trading smarter!**
Стратегия Pine Script™
от BlockWire
EMA Crossover Strategy - High Reward, Low Loss Trading Indicator🔹 Created by Aniketsinh 🚀 About This Strategy: The EMA Crossover Strategy is designed for traders who prefer fewer trades with higher profit potential. It focuses on catching strong trends while minimizing unnecessary losses. Even if only 4 out of 10 trades succeed, the risk-reward ratio ensures more profits than losses. 📌 Key Features: ✅ Uses 50 EMA & 200 EMA for trend confirmation ✅ RSI filtering for momentum-based entries ✅ Volume confirmation to avoid false signals ✅ Stop Loss & Take Profit with a 3x reward-to-risk ratio ✅ Works well on crypto, forex, and stocks 📈 How It Works: BUY Signal: 50 EMA crosses above 200 EMA, RSI > 50, and volume is high. SELL Signal: 50 EMA crosses below 200 EMA, RSI < 50, and volume is high. Stop Loss & Take Profit: Stop loss below recent low, and take profit at 3x risk. 🔍 Best Timeframes: Works well on higher timeframes like 1H, 4H, Daily for better accuracy. ⚠️ Risk Disclaimer: No strategy is 100% perfect. Always use proper risk management and backtest before live trading. 💡 Try It Now & Optimize for Your Trading Style! Let me know your feedback! 🚀
Стратегия Pine Script™
от Aniketsinh23
EMA50EMA150#gangesThis strategy is a trading system that uses Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to determine entry and exit points for trades. Here's a breakdown of the key components and logic: Key Indicators: EMA 50 (Exponential Moving Average with a 50-period window): This is a more responsive moving average to recent price movements. EMA 150 (Exponential Moving Average with a 150-period window): A slower-moving average that helps identify longer-term trends. SMA 150 (Simple Moving Average with a 150-period window): This acts as a stop-loss indicator for long trades. User Inputs: Start Date and End Date: The strategy is applied only within this date range, ensuring that trading only occurs during the specified period. Trade Conditions: Buy Signal (Long Position): A buy is triggered when the 50-period EMA crosses above the 150-period EMA (indicating the price is gaining upward momentum). Sell Signal (Short Position): A sell is triggered when the 50-period EMA crosses below the 150-period EMA (indicating the price is losing upward momentum and moving downward). Stop-Loss for Long Positions: If the price drops below the 150-period SMA, the strategy closes any long positions as a stop-loss mechanism to limit further losses. Re-Entry After Stop-Loss: After a stop-loss is triggered, the strategy monitors for a re-entry signal: Re-buy: If the price crosses above the 150-period EMA from below, a new long position is triggered. Re-sell: If the 50-period EMA crosses below the 150-period EMA, a new short position is triggered. Trade Execution: Buy or Sell: The strategy enters trades based on the conditions described and exits them if the stop-loss conditions are met. Re-entry: After a stop-loss, the strategy tries to re-enter the market based on the same buy/sell conditions. Risk Management: Commission and Slippage: The strategy includes a 0.1% commission on each trade and allows for 3 pips of slippage to account for real market conditions. Visuals: The strategy plots the 50-period EMA (blue), 150-period EMA (red), and 150-period SMA (orange) on the chart, helping users visualize the key levels for decision-making. Date Range Filter: The strategy only executes trades during the user-defined date range, which helps limit trades to a specific period and avoid backtesting errors on irrelevant data. Stop-Loss Logic: The stop-loss is triggered when the price crosses below the 150-period SMA, closing the long position to protect against significant drawdowns. Overall Strategy Goal: The strategy aims to capture long-term trends using the EMAs for entry signals, while protecting profits through the stop-loss mechanism and offering a way to re-enter the market after a stop-loss.
Стратегия Pine Script™
от tradewithtrendresearch
Exit Strategy with 3 Trailing StopsThis strategy allows the user to define three trailing stops which are intended to exit a long position in incremental steps. There is no logic for opening a position, so the strategy settings require the manual input of the bar index number of the candle that is to be used for the long entry order. This number can be found in the data window, under the exit strategy value "bar index". The value will change as you mouse over the candle that you wish to use for the entry. At each trailing stop, the user can define the percentage of the position that the strategy should close. The third and final value is intended to close the entire position, so it is set to 100.
Стратегия Pine Script™
от Chart0bserver
My strategyimport pandas as pd import ta import time from dhan import DhanHQ # Dhan API Credentials API_KEY = "your_api_key" ACCESS_TOKEN = "your_access_token" dhan = DhanHQ(api_key=API_KEY, access_token=ACCESS_TOKEN) # Strategy Parameters SYMBOL = "RELIANCE" # Replace with your stock symbol INTERVAL = "1min" # Scalping requires a short timeframe STOPLOSS_PERCENT = 0.2 # Stop loss percentage (0.2% per trade) TARGET_RR_RATIO = 2 # Risk-Reward Ratio (1:2) QUANTITY = 10 # Number of shares per trade def get_historical_data(symbol, interval="1min", limit=50): """Fetch historical data from Dhan API.""" response = dhan.get_historical_data(symbol=symbol, interval=interval, limit=limit) if response == "success": df = pd.DataFrame(response ) df = df .astype(float) df = df .astype(float) df = df .astype(float) df = df .astype(float) return df else: raise Exception("Failed to fetch data: ", response ) def add_indicators(df): """Calculate EMA (9 & 20), VWAP, and RSI.""" df = ta.trend.ema_indicator(df , window=9) df = ta.trend.ema_indicator(df , window=20) df = ta.volume.volume_weighted_average_price(df , df , df , df ) df = ta.momentum.rsi(df , window=14) return df def check_signals(df): """Identify Buy and Sell signals based on EMA, VWAP, and RSI.""" latest = df.iloc # Buy Condition if latest > latest and latest > latest and 40 <= latest <= 60: return "BUY" # Sell Condition if latest < latest and latest < latest and 40 <= latest <= 60: return "SELL" return None def place_order(symbol, side, quantity): """Execute a market order.""" order_type = "BUY" if side == "BUY" else "SELL" order = dhan.place_order(symbol=symbol, order_type="MARKET", quantity=quantity, transaction_type=order_type) if order == "success": print(f"{order_type} Order Placed: {order }") return float(order ) # Return entry price else: raise Exception("Order Failed: ", order ) def scalping_strategy(): position = None entry_price = 0 stoploss = 0 target = 0 while True: try: # Fetch and process data df = get_historical_data(SYMBOL, INTERVAL) df = add_indicators(df) signal = check_signals(df) # Execute trade if signal == "BUY" and position is None: entry_price = place_order(SYMBOL, "BUY", QUANTITY) stoploss = entry_price * (1 - STOPLOSS_PERCENT / 100) target = entry_price + (entry_price - stoploss) * TARGET_RR_RATIO position = "LONG" print(f"BUY @ {entry_price}, SL: {stoploss}, Target: {target}") elif signal == "SELL" and position is None: entry_price = place_order(SYMBOL, "SELL", QUANTITY) stoploss = entry_price * (1 + STOPLOSS_PERCENT / 100) target = entry_price - (stoploss - entry_price) * TARGET_RR_RATIO position = "SHORT" print(f"SELL @ {entry_price}, SL: {stoploss}, Target: {target}") # Exit logic if position: current_price = df .iloc if (position == "LONG" and (current_price <= stoploss or current_price >= target)) or \ (position == "SHORT" and (current_price >= stoploss or current_price <= target)): print(f"Exiting {position} @ {current_price}") position = None time.sleep(60) # Wait for the next candle except Exception as e: print(f"Error: {e}") time.sleep(60) # Run the strategy try: scalping_strategy() except KeyboardInterrupt: print("Trading stopped manually.")
Стратегия Pine Script™
от practicalMagpi77740
IFR2 e Cruzamento de Média v1.4 podendo selecionar uma.Strategy for IFR2 and Moving Average crossovers Strategy for backtesting IFR2 or moving average crossovers At the exit of the trade, a box appears stating: the reason for the exit: Green for Take Profit (TP) Red for Stop Loss (ST) BLUE for the number of IFR2 candles reached (CD) PURPLE for Crossing Averages (CZ) in this box you can also enter the number of tkts and the percentage of the trade taken and the trade number TR = XX For IFR trades, you can select the IFR2 PERIOD and level and the number of candles to close the trade if it is not closed by TP or LOSS. When you select the moving average crossover entry, you can choose the period of the fast average and the slow average, in both cases you can select a mm as a filter for the trade entry and the period of this mm. You can also choose a percentage for TAke Profit and Sop Loss. We can also select a date to start the Back Test and an end date. Translated with www.DeepL.com (free version) Explicação em português: Estratégia para IFR2 e cruzamento de Media Movel Estratégia para backTest de IFR2 ou Cruzamento da média Movel Na saída da operação mostra uma caixa informando: o motivo da saída: Verde para Take Profit (TP) Vermelho para Stop Loss (ST) AZUL para número de candles atingido IFR2 (CD) Roxo para Cruzamento de Médias (CZ) nesta caixa ainda informa o numero de tkts e o porcentual da operação realizada e o numero do trade TR = XX Nas operações por IFR podemos selecionar o PERIODO do e o nivel do IFR2 e a quantidade de candles para fechar a operação se não for fechado por TP ou LOSS. Quando selecionado a entrada por cruzamento de media movel, podemos escolher o período da media rápida e da média lenta, em ambos os casos podemos selecionar uma mm como filtro para entrada da operação e o período desta mm. Podemos ainda escolher um porcentual para TAke Profit e Sop Loss. E ainda selecionar uma data para iniciar o Back Test e uma data final.
Стратегия Pine Script™
от PedroJPalacio
DOGE Trend-Following Strategy – Balanced Risk & Trend (15m)This strategy is designed to capture trends in DOGE/USDT, using a combination of moving averages and momentum indicators to filter high-quality trades. It is optimized for balanced risk management with a focus on reducing drawdowns through conservative position sizing. How the Strategy Works Exponential Moving Averages (EMAs): A fast EMA (default: 50) tracks short-term price momentum. A slow EMA (default: 200) represents the broader trend. Trades are executed when these EMAs cross, signaling shifts in market direction. ADX (Average Directional Index): ADX (default length: 14) confirms trend strength. The strategy only enters trades when ADX is above 25, indicating a strong trend. This helps avoid low-confidence trades during sideways markets. RSI (Relative Strength Index): RSI (default: 14) helps avoid trades during overbought or oversold conditions. Long trades are exited when RSI crosses above 70, while short trades are closed when RSI drops below 30. Multi-Timeframe Filter: To further validate trends, 4-hour EMAs are integrated into the strategy, keeping entries in sync with larger market movements. Performance Highlights Net Profit: +$2,438.85 USDT (0.24% return over testing period) Profit Factor: 1.136 – indicating more profit than loss overall. Closed Trades: 35 Winning Trades: 62.86% Max Drawdown: 0.58% – representing the largest equity decrease during the test period. Trade Duration: On average, trades last about 40 bars (10 hours on a 15-minute chart). Trade Setup Long Entry: A long position is taken when: The 50 EMA crosses above the 200 EMA, The ADX is above 25, and RSI is above 30 (indicating healthy momentum). The trade is exited when RSI hits 70 or price reaches a dynamic profit or stop-loss level. Short Entry: A short position is entered when: The 50 EMA crosses below the 200 EMA, The ADX confirms trend strength above 25, and RSI is below 70 (avoiding oversold conditions). The short position closes if RSI drops to 30 or stop-loss/take-profit criteria are met. Strategy Parameters Fast EMA Length: Default set to 50. Slow EMA Length: Default set to 200. ADX Length: Default set to 14 with a threshold of 25 for filtering trends. RSI: Length is 14 with overbought/oversold thresholds at 70 and 30. Dynamic Take Profit & Stop Loss: Configurable, allowing for risk customization. Backtesting Conditions Account Size: $100,000 Position Size: 2% of equity per trade – within the recommended 1-5% risk management framework. Slippage and Commission: Set to realistic values to improve accuracy. The backtest ran on DOGE/USDT over a multi-month period, showing reliable performance on the 15-minute timeframe. While past performance is not a guarantee of future success, the results suggest this approach may offer a robust framework for trend-following traders. Strategy Notes This updated version prioritizes sustainability by ensuring trades risk no more than 2% of equity. The combination of multiple indicators helps avoid whipsaws and improves long-term profitability. Always test strategies with your own data and market conditions before live trading.
Стратегия Pine Script™
от cryptechcapital