重心回测交易策略是一种基于移动平均线的交易策略。它计算出价格的“中心”,即重心位置,并构建价格通道,作为资产报价的走廊。该策略可以在输入设置中将做多改为做空。
该策略通过线性回归函数计算重心位置。具体来说,它计算长度为Length周期的收盘价的线性回归值,即价格“中心”。然后在此基础上向上和向下移动Percent%构建价格通道。价格通道上下边界分别作为做多和做空信号。当价格突破上轨时,做多;当价格跌破下轨时,做空。SignalLine参数用于选择使用第一条通道还是第二条通道的上下轨作为交易信号。reverse参数用于将做多做空反转。
这是一个非常简单的突破策略,优势主要有:
该策略也存在一些风险:
可以通过调整参数Bands、Length等来控制风险。也可以设置止损来限制最大亏损。
该策略还可进一步优化:
重心回测交易策略是一个简单的突破策略。它有清晰的思路,较强的实战性,灵活的参数设置。同时也存在一定的风险,需要适当优化控制。该策略适合作为基础策略来实战和优化,也很适合新手学习。
/*backtest
start: 2023-11-11 00:00:00
end: 2023-12-11 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=2
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 15/03/2018
// The indicator is based on moving averages. On the basis of these, the
// "center" of the price is calculated, and price channels are also constructed,
// which act as corridors for the asset quotations.
//
// You can change long to short in the Input Settings
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
strategy(title="Center Of Gravity Backtest", shorttitle="CFO", overlay = true)
Length = input(20, minval=1)
m = input(5, minval=0)
Percent = input(1, minval=0)
SignalLine = input(1, minval=1, maxval = 2, title = "Trade from line (1 or 2)")
reverse = input(false, title="Trade reverse")
xLG = linreg(close, Length, m)
xLG1r = xLG + ((close * Percent) / 100)
xLG1s = xLG - ((close * Percent) / 100)
xLG2r = xLG + ((close * Percent) / 100) * 2
xLG2s = xLG - ((close * Percent) / 100) * 2
xSignalR = iff(SignalLine == 1, xLG1r, xLG2r)
xSignalS = iff(SignalLine == 1, xLG1s, xLG2s)
pos = iff(close > xSignalR, 1,
iff(close < xSignalS, -1, nz(pos[1], 0)))
possig = iff(reverse and pos == 1, -1,
iff(reverse and pos == -1, 1, pos))
if (possig == 1)
strategy.entry("Long", strategy.long)
if (possig == -1)
strategy.entry("Short", strategy.short)
barcolor(possig == -1 ? red: possig == 1 ? green : blue )
plot(xLG, color=blue, title="CFO")
plot(xLG1r, color=green, title="LG1r")
plot(xLG2r, color=green, title="LG2r")
plot(xLG1s, color=red, title="LG1s")
plot(xLG2s, color=red, title="LG2s")