该策略是一个综合性的交易系统,结合了技术分析中的多个关键指标,包括双均线系统(SMA)、移动平均线趋同散度(MACD)、相对强弱指数(RSI)以及阻力位分析。策略的核心思想是通过多维度的技术指标来确认交易信号,同时结合市场情绪指标来优化持仓管理,最终达到提高胜率和风险收益比的目的。
策略采用短期(10日)和长期(30日)两条简单移动平均线作为主要信号系统。当短期均线向上穿越长期均线,同时MACD指标显示多头势态(MACD线在信号线上方)时,系统会发出做多信号。卖出条件则结合了阻力位分析,当价格达到过去20个周期的最高点,且MACD显示空头信号时,系统会平仓。此外,策略还引入了RSI指标作为情绪过滤器,用于优化持仓管理:当RSI超过70且处于亏损状态时提前止损,当RSI低于30且处于盈利状态时继续持有。
该策略通过组合多个经典技术指标,构建了一个完整的交易系统。策略的优势在于多重信号确认机制和完善的风险控制体系,但仍需注意市场环境对策略表现的影响。通过建议的优化方向,策略的稳定性和适应性有望得到进一步提升。在实盘应用中,建议投资者根据自身风险偏好和市场环境适当调整参数,并始终保持对市场基本面的关注。
/*backtest start: 2019-12-23 08:00:00 end: 2024-11-11 00:00:00 period: 1d basePeriod: 1d exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("XAUUSD SMA with MACD & Market Sentiment (Enhanced RR)", overlay=true) // Input parameters for moving averages shortSMA_length = input.int(10, title="Short SMA Length", minval=1) longSMA_length = input.int(30, title="Long SMA Length", minval=1) // MACD settings [macdLine, signalLine, _] = ta.macd(close, 12, 26, 9) // Lookback period for identifying major resistance (swing highs) resistance_lookback = input.int(20, title="Resistance Lookback Period", tooltip="Lookback period for identifying major resistance") // Calculate significant resistance (local swing highs over the lookback period) major_resistance = ta.highest(close, resistance_lookback) // Calculate SMAs shortSMA = ta.sma(close, shortSMA_length) longSMA = ta.sma(close, longSMA_length) // RSI for market sentiment rsiLength = input.int(14, title="RSI Length", minval=1) rsiOverbought = input.int(70, title="RSI Overbought Level", minval=50, maxval=100) rsiOversold = input.int(30, title="RSI Oversold Level", minval=0, maxval=50) rsi = ta.rsi(close, rsiLength) // Define buy condition based on SMA and MACD buyCondition = ta.crossover(shortSMA, longSMA) and macdLine > signalLine // Define sell condition: only sell if price is at or above the identified major resistance sellCondition = close >= major_resistance and macdLine < signalLine // Define sentiment-based exit conditions closeEarlyCondition = strategy.position_size < 0 and rsi > rsiOverbought // Close losing trade early if RSI is overbought holdWinningCondition = strategy.position_size > 0 and rsi < rsiOversold // Hold winning trade if RSI is oversold // Execute strategy: Enter long position when buy conditions are met if (buyCondition) strategy.entry("Buy", strategy.long) // Close the position when the sell condition is met (price at resistance) if (sellCondition and not holdWinningCondition) strategy.close("Buy") // Close losing trades early if sentiment is against us if (closeEarlyCondition) strategy.close("Buy") // Visual cues for buy and sell signals plotshape(series=buyCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(series=sellCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // Add alert for buy condition alertcondition(buyCondition, title="Buy Signal Activated", message="Buy signal activated: Short SMA has crossed above Long SMA and MACD is bullish.") // Add alert for sell condition to notify when price hits major resistance alertcondition(sellCondition, title="Sell at Major Resistance", message="Sell triggered at major resistance level.") // Add alert for early close condition (for losing trades) alertcondition(closeEarlyCondition, title="Close Losing Trade Early", message="Sentiment is against your position, close trade.") // Add alert for holding winning condition (optional) alertcondition(holdWinningCondition, title="Hold Winning Trade", message="RSI indicates oversold conditions, holding winning trade.")