该策略基于均值回归的原理,利用价格偏离移动平均线的情况来进行交易决策。当价格向上偏离上轨时做空,向下偏离下轨时做多,价格回归到移动平均线时平仓。这个策略的核心是假设价格总是会回归到均值水平。
均值回归策略是一种基于统计学原理的量化交易策略,通过构建价格均值上下轨来进行交易决策。该策略逻辑简单,执行明确,但要注意品种的选择和参数的优化。在实际应用中,还需要考虑趋势、交易成本、风险控制等因素,以提高策略的稳健性和盈利能力。总之,均值回归策略是量化交易领域一种常见且值得深入研究的策略。
/*backtest
start: 2024-05-01 00:00:00
end: 2024-05-31 23:59:59
period: 4h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
strategy("Mean Regression Strategy", overlay=true)
// Define the lookback period for the moving average
length = input.int(20, title="Moving Average Length")
mult = input.float(1.5, title="Standard Deviation Multiplier")
// Calculate the moving average and standard deviation
ma = ta.sma(close, length)
dev = mult * ta.stdev(close, length)
// Calculate upper and lower bands
upper_band = ma + dev
lower_band = ma - dev
// Plot the moving average and bands
plot(ma, color=color.blue, linewidth=2, title="Moving Average")
plot(upper_band, color=color.red, linewidth=2, title="Upper Band")
plot(lower_band, color=color.green, linewidth=2, title="Lower Band")
// Entry conditions
long_condition = ta.crossover(close, lower_band)
short_condition = ta.crossunder(close, upper_band)
// Exit conditions
exit_long_condition = ta.crossunder(close, ma)
exit_short_condition = ta.crossover(close, ma)
// Strategy orders
if (long_condition)
strategy.entry("Long", strategy.long)
if (short_condition)
strategy.entry("Short", strategy.short)
if (exit_long_condition)
strategy.close("Long")
if (exit_short_condition)
strategy.close("Short")
// Plot signals on the chart
plotshape(series=long_condition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal")
plotshape(series=short_condition, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal")