ChaoZhang
策略概述
多因子融合反转追踪策略通过整合价格反转形态以及超买超卖指标,来产生入市和出市的决策信号。该策略综合运用多种因子判断市场结构的高低点,在反转点位产生交易信号,以期捕捉中短线价格的反转机会。
策略原理
该策略由两大模块组成:
1、123反转形态模块
当出现2日价格创新高但第3日回落时,视为潜在的短期高点,做空。
当出现2日价格创新低但第3日反弹时,视为潜在的短期低点,做多。
2、RSI反向工程模块
通过动态调整RSI的超买超卖线,来判断反转点位。
RSI高于调整后的超买线则看空,RSI低于调整后的超卖线则看多。
最后,当两个模块的信号一致时,才会产生实际的交易指令。
该策略最大的优势在于整合多种因子判断市场的结构性高低点,过滤掉一部分单一因子下的假信号,可以提高实际交易的胜率。
策略优势
多因子组合,综合判断市场高低点
结合反转形态和超买超卖指标
有效过滤假反转信号,提高准确率
回测参数可优化,适应不同市场
实施难度不高,可快速复制交易
风险提示
反转信号可能滞后,需要及时更新参数
需要防止过度交易而增加交易费用
仍需关注个股的基本面情况
反转策略更适用于指数和热门股
总结
多因子融合反转追踪策略完美结合了量化工具的优势与人工分析的经验,通过考量多个角度来确定交易信号。相比单一指标策略,它可以大幅提升实际交易的稳定性和胜率。该策略值得率先在回测中进行验证优化,然后再逐步实盘,具有非常显著的实用价值。
策略源码
/*backtest
start: 2023-08-15 00:00:00
end: 2023-09-14 00:00:00
period: 2h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 15/06/2021
// This is combo strategies for get a cumulative signal.
//
// First strategy
// This System was created from the Book "How I Tripled My Money In The
// Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
// The strategy buys at market, if close price is higher than the previous close
// during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
// The strategy sells at market, if close price is lower than the previous close price
// during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
//
// Second strategy
// The related article is copyrighted material from
// Stocks & Commodities.
//
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
Reversal123(Length, KSmoothing, DLength, Level) =>
vFast = sma(stoch(close, high, low, Length), KSmoothing)
vSlow = sma(vFast, DLength)
pos = 0.0
pos := iff(close[2] < close[1] and close > close[1] and vFast < vSlow and vFast > Level, 1,
iff(close[2] > close[1] and close < close[1] and vFast > vSlow and vFast < Level, -1, nz(pos[1], 0)))
pos
RE_RSI(Value,WildPer) =>
pos = 0.0
AUC = 0.0
ADC = 0.0
ExpPer = 2 * WildPer - 1
K = 2 / (ExpPer + 1)
AUC := iff(close > close[1], K * (close - close[1]) + (1 - K) * nz(AUC[1], 1), (1-K) * nz(AUC[1], 1))
ADC := iff(close > close[1], (1-K) * nz(ADC[1], 1), K * (close[1] - close) + (1 - K) * nz(ADC[1], 1))
nVal = (WildPer - 1) * (ADC * Value / (100 - Value) - AUC)
nRes = iff(nVal >= 0, close + nVal, close + nVal * (100 - Value) / Value)
pos:= iff(nRes > close, -1,
iff(nRes < close, 1, nz(pos[1], 0)))
pos
strategy(title="Combo Backtest 123 Reversal & Reverse Engineering RSI, by Giorgos Siligardos", shorttitle="Combo", overlay = true)
line1 = input(true, "---- 123 Reversal ----")
Length = input(14, minval=1)
KSmoothing = input(1, minval=1)
DLength = input(3, minval=1)
Level = input(50, minval=1)
//-------------------------
line2 = input(true, "---- Reverse Engineering RSI ----")
Value = input(50, minval=1)
WildPer = input(14,minval=1)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posRE_RSI = RE_RSI(Value,WildPer)
pos = iff(posReversal123 == 1 and posRE_RSI == 1 , 1,
iff(posReversal123 == -1 and posRE_RSI == -1, -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)
if (possig == 0)
strategy.close_all()
barcolor(possig == -1 ? #b50404: possig == 1 ? #079605 : #0536b3 )