This strategy is a technical indicator-based swing trading system that combines multiple signals including moving average crossovers, RSI overbought/oversold conditions, and ATR-based stop-loss/take-profit levels. The core mechanism relies on capturing market trends through short-term EMA and long-term SMA crossovers, confirmed by RSI signals, with dynamic stop-loss and take-profit levels set using ATR. The strategy supports both long and short trading directions and allows flexible enabling/disabling of either direction.
The strategy employs a multi-layer technical indicator approach:
The strategy constructs a relatively complete trading system through the combination of multiple technical indicators. Its strengths lie in signal confirmation reliability and comprehensive risk management, though market environment impact on strategy performance needs attention. Through the suggested optimization directions, there is significant room for improvement. When applying to live trading, thorough parameter testing and backtesting verification is recommended.
/*backtest start: 2019-12-23 08:00:00 end: 2024-12-10 08:00:00 period: 1d basePeriod: 1d exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © CryptoRonin84 //@version=5 strategy("Swing Trading Strategy with On/Off Long and Short", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100) // Input for turning Long and Short trades ON/OFF enable_long = input.bool(true, title="Enable Long Trades") enable_short = input.bool(true, title="Enable Short Trades") // Input parameters for strategy sma_short_length = input.int(20, title="Short EMA Length", minval=1) sma_long_length = input.int(50, title="Long SMA Length", minval=1) sl_percentage = input.float(1.5, title="Stop Loss (%)", step=0.1, minval=0.1) tp_percentage = input.float(3, title="Take Profit (%)", step=0.1, minval=0.1) risk_per_trade = input.float(1, title="Risk Per Trade (%)", step=0.1, minval=0.1) capital = input.float(10000, title="Initial Capital", step=100) // Input for date range for backtesting start_date = input(timestamp("2020-01-01 00:00"), title="Backtest Start Date") end_date = input(timestamp("2024-12-31 23:59"), title="Backtest End Date") inDateRange = true // Moving averages sma_short = ta.ema(close, sma_short_length) sma_long = ta.sma(close, sma_long_length) // RSI setup rsi = ta.rsi(close, 14) rsi_overbought = 70 rsi_oversold = 30 // ATR for volatility-based stop-loss calculation atr = ta.atr(14) stop_loss_level_long = strategy.position_avg_price - (1.5 * atr) stop_loss_level_short = strategy.position_avg_price + (1.5 * atr) take_profit_level_long = strategy.position_avg_price + (3 * atr) take_profit_level_short = strategy.position_avg_price - (3 * atr) // Position sizing based on risk per trade risk_amount = capital * (risk_per_trade / 100) position_size = risk_amount / (close * sl_percentage / 100) // Long and Short conditions long_condition = ta.crossover(sma_short, sma_long) and rsi < rsi_overbought short_condition = ta.crossunder(sma_short, sma_long) and rsi > rsi_oversold // Execute long trades if (long_condition and inDateRange and enable_long) strategy.entry("Long", strategy.long, qty=position_size) strategy.exit("Take Profit/Stop Loss", "Long", stop=stop_loss_level_long, limit=take_profit_level_long) // Execute short trades if (short_condition and inDateRange and enable_short) strategy.entry("Short", strategy.short, qty=position_size) strategy.exit("Take Profit/Stop Loss", "Short", stop=stop_loss_level_short, limit=take_profit_level_short) // Plot moving averages plot(sma_short, title="Short EMA", color=color.blue) plot(sma_long, title="Long SMA", color=color.red) // Plot RSI on separate chart hline(rsi_overbought, "Overbought", color=color.red) hline(rsi_oversold, "Oversold", color=color.green) plot(rsi, title="RSI", color=color.purple) // Plot signals on chart plotshape(series=long_condition and enable_long, title="Long Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(series=short_condition and enable_short, title="Short Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // Background color for backtest range bgcolor(inDateRange ? na : color.red, transp=90)