strategies/多指标融合反转交易策略Multi-indicator-Combined-Reversal-Trading-Strategy.md

Name

多指标融合反转交易策略Multi-indicator-Combined-Reversal-Trading-Strategy

Author

ChaoZhang

Strategy Description

[trans] 本策略名称为“多指标融合反转交易策略”。该策略综合应用多种技术指标,识别价格在短期内出现反转的时机,进行反向交易以获利。

首先,该策略使用123反转形态判断短期价格反转。123反转形态是指价格连续三日收盘有明显的高低缺口,第三日收盘反转前两日趋势的形态。根据统计,延续123反转形态发出信号的获利率较高。

其次,该策略加入随机指标RSI判定反转信号的可靠性。RSI低于50代表超卖形态,高于50代表超买形态。结合RSI指标可以避免仅凭123反转形态产生过多不可靠信号。

最后,该策略再引入CMO指标的多周期叉差判定。CMO叉差结合不同周期指数移动平均线,判断价格动能反转。其信号再次确认123反转交易时机。

上述多指标综合运用,可以提高价格反转捕捉的成功率,避免出现过多不确定信号。当RSI和CMO均支持123形态时,发出强烈的反转交易信号。

该策略适合用于盘整震荡市场,捕捉短期价格脉动。但多指标组合也容易出现不同指标互相对冲的情况,需要进行参数优化。止损策略也需要配合使用,控制单笔交易的最大亏损。

总体而言,多指标融合反转交易策略,综合各种工具提高对市场反转时机的判断准确性。但任何单一策略难以完美,需要交易者根据当下市场情况进行细致验证和调整,始终保持交易意识的灵活性。

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This strategy is named “Multi-indicator Combined Reversal Trading Strategy”. It integrates various technical indicators to identify opportunities for short-term price reversals and trade against the previous trend for profits.

Firstly, the strategy uses the 123 reversal pattern to determine short-term trend reversals. The 123 pattern is when prices gap significantly over three consecutive days and the third day closes in the opposite direction of the previous two days. Statistically, trading with 123 reversal signals has a higher win rate.

Secondly, the RSI indicator is incorporated to evaluate the reliability of reversal signals. RSI below 50 represents oversold conditions, while above 50 is overbought. Using RSI avoids generating excessive unreliable signals purely based on the 123 pattern.

Thirdly, the CMO indicator’s multi-period crossover is introduced. The CMO crossover combining different period exponential moving averages judges momentum reversals. Its signals provide further confirmation of the 123 reversal timing.

The combined application of multiple indicators increases the success rate of capturing price reversals by avoiding excessive uncertain signals. Only when RSI and CMO both support the 123 pattern will a strong reversal trade signal emerge.

This strategy suits ranging, oscillating markets to capture short-term price fluctuations. However, combining too many indicators can also lead to conflicts. Parameter optimization is needed. Stop loss should also be used to limit maximum loss per trade.

In conclusion, the multi-indicator combined reversal trading strategy integrates various tools to improve judgment accuracy of market reversals. But no single strategy is perfect. Traders need to validate and adjust based on current market conditions, maintaining flexible trading mindset.

[/trans]

Strategy Arguments

Argument	Default	Description
v_input_1	14	Length
v_input_2	true	KSmoothing
v_input_3	3	DLength
v_input_4	50	Level
v_input_5	50	LengthFirst
v_input_6	25	LengthSecond
v_input_7	10	LengthThird
v_input_8	false	Trade reverse

Source (PineScript)

/*backtest
start: 2023-01-01 00:00:00
end: 2023-03-11 00:00:00
period: 4h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 25/02/2020
// 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 CMOaDisparity Index article is copyrighted material from Stocks & Commodities Dec 2009
// My strategy modification.
//
// 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

CMOD(LengthFirst, LengthSecond, LengthThird) =>
    pos = 0.0
    xEMAFirst = ema(close,LengthFirst)
    xEMASecond  = ema(close,LengthSecond)
    xEMAThird  = ema(close,LengthThird)
    xResFirst = 100 * (close - xEMAFirst) / close
    xResSecond = 100 * (close - xEMASecond) / close
    xResThird = 100 * (close - xEMAThird) / close
    pos := iff(xResThird > xResFirst, -1,
             iff(xResThird < xResSecond, 1, nz(pos[1], 0)))     
    pos

strategy(title="Combo Backtest 123 Reversal & CMOaDisparity Index", shorttitle="Combo", overlay = true)
Length = input(14, minval=1)
KSmoothing = input(1, minval=1)
DLength = input(3, minval=1)
Level = input(50, minval=1)
//-------------------------
LengthFirst = input(50, minval=1)
LengthSecond = input(25, minval=1)
LengthThird = input(10, minval=1)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posCMOD = CMOD(LengthFirst, LengthSecond, LengthThird)
pos = iff(posReversal123 == 1 and posCMOD == 1 , 1,
	   iff(posReversal123 == -1 and posCMOD == -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 )

Detail

https://www.fmz.com/strategy/426587

Last Modified

2023-09-13 15:04:40