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.")