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Strategy vault / Mean reversion

Quantitative Trading Strategy with Multi Indicator Confirmation

This article explains in detail a quantitative trading strategy that utilizes multi-indicator confirmation to generate signals. It combines different techniques to improve reliability. I. Strategy Logic The strategy…

Author
ChaoZhang
Complexity
Intermediate · 77 lines
Parameters
8
Backtest bar
1h · intraday
Tested on
BTC/USDT · futures

This article explains in detail a quantitative trading strategy that utilizes multi-indicator confirmation to generate signals. It combines different techniques to improve reliability.

I. Strategy Logic

The strategy synthesizes two techniques:

(1) 123 Reversal Pattern

  1. Identify potential bottoms and tops based on candle close relationships.

  2. Use stochastic to validate reversal signals and avoid false signals.

(2) Smoothed Accumulation/Distribution

  1. Calculate Accumulation/Distribution and moving average.

  2. Determine trends based on divergences between the indicator and MA.

  3. Only agreeable signals from both techniques are taken.

By requiring multiple confirmations, certain false signals can be filtered out and accuracy improved.

II. Advantages of the Strategy

The biggest advantage is multi-indicator confirmation, which overcomes single indicator limitations and enhances robustness.

Another advantage is combining two different technique types for greater comprehensiveness.

Finally, the combinations also provide more tuning options.

III. Potential Risks

However, some risks exist:

Firstly, multi-indicator combinations increase optimization difficulty and overfitting risks.

Secondly, discrepancies between indicators require clear judgment rules.

Finally, some indicators still have lagging issues.

IV. Summary

In summary, this article has explained a quantitative trading strategy utilizing multi-indicator confirmations. It improves signals through synthesis but requires managing optimization difficulty and indicator lags. Overall it provides a relatively robust approach.

Parameters

NameDefaultWhat it controls
v_input_1true---- 123 Reversal ----
v_input_214Length
v_input_3trueKSmoothing
v_input_43DLength
v_input_550Level
v_input_6true---- Smoothed Williams AD ----
v_input_714LengthWillAD
v_input_8falseTrade reverse

Source Pine Script

/*backtest
start: 2023-08-15 00:00:00
end: 2023-09-14 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 21/07/2021
// 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
// Accumulation is a term used to describe a market controlled by buyers;
// whereas distribution is defined by a market controlled by sellers.
// Williams recommends trading this indicator based on divergences:
//  Distribution of the security is indicated when the security is making 
//  a new high and the A/D indicator is failing to make a new high. Sell.
//  Accumulation of the security is indicated when the security is making 
//  a new low and the A/D indicator is failing to make a new low. Buy. 
//
// 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


SWAD(Length) =>
    pos = 0.0
    xWAD = 0.0
    xPrice = close
    xWAD:= iff(close > nz(close[1], 0), nz(xWAD[1],0) + close - low[1], 
             iff(close < nz(close[1],0), nz(xWAD[1],0) + close - high[1],0))
    xWADMA = sma(xWAD, Length)
    pos:= iff(xWAD > xWADMA, 1,
             iff(xWAD < xWADMA, -1, nz(pos[1], 0))) 
    pos

strategy(title="Combo Backtest 123 Reversal & Smoothed Williams AD", 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, "---- Smoothed Williams AD ----")
LengthWillAD = input(14, step = 1)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posSWAD = SWAD(LengthWillAD)
pos = iff(posReversal123 == 1 and posSWAD == 1 , 1,
	   iff(posReversal123 == -1 and posSWAD == -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 )

Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-15. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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