Strategy vault / Mean reversion
Multi factor Combined Trading Strategy
This strategy combines multiple technical indicators into an integrated quantitative system, harnessing the strengths of different factors to improve trade decision accuracy. Strategy Logic: 1. Calculate 123 Reversal…
This strategy combines multiple technical indicators into an integrated quantitative system, harnessing the strengths of different factors to improve trade decision accuracy.
Strategy Logic:
Calculate 123 Reversal indicator to identify potential 3-day reversals.
Calculate Elder Bear Power for oversold conditions.
Go long when both indicators give buy signals, and short when both give sell signals.
Requiring factor verification reduces false signal trades.
Combining different indicator types improves situational awareness.
Advantages:
Multi-factor verification reduces probability of bad trades.
Improves recognition of complex market conditions.
Optimization difficulty gives advantage over single strategies.
Risks:
Time-consuming to optimize parameters for ideal combination.
Potential for signal conflicts between indicators.
Overall stability lower than single indicator strategies.
In summary, this strategy aims to improve accuracy by combining multiple factors, but requires tuning to match indicators appropriately for steady outperformance.
Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_1 | 14 | Length |
| v_input_2 | true | KSmoothing |
| v_input_3 | 3 | DLength |
| v_input_4 | 50 | Level |
| v_input_5 | 13 | LengthBP |
| v_input_6 | false | Trigger |
| v_input_7 | false | Trade reverse |
Source Pine Script
/*backtest
start: 2022-09-05 00:00:00
end: 2023-02-03 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 27/05/2020
// 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
// Developed by Dr Alexander Elder, the Elder-ray indicator measures buying
// and selling pressure in the market. The Elder-ray is often used as part
// of the Triple Screen trading system but may also be used on its own.
// Dr Elder uses a 13-day exponential moving average (EMA) to indicate the
// market consensus of value. Bull Power measures the ability of buyers to
// drive prices above the consensus of value. Bear Power reflects the ability
// of sellers to drive prices below the average consensus of value.
// Bull Power is calculated by subtracting the 13-day EMA from the day's High.
// Bear power subtracts the 13-day EMA from the day's Low.
// You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
//
// 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
BP(Trigger,Length) =>
pos = 0
DayHigh = 0.0
xPrice = close
xMA = ema(xPrice,Length)
DayHigh := iff(dayofmonth != dayofmonth[1], high, max(high, nz(DayHigh[1])))
nRes = DayHigh - xMA
pos := iff(nRes > Trigger, 1,
iff(nRes < Trigger, -1, nz(pos[1], 0)))
pos
strategy(title="Combo Backtest 123 Reversal & Elder Ray (Bear Power) ", shorttitle="Combo", overlay = true)
Length = input(14, minval=1)
KSmoothing = input(1, minval=1)
DLength = input(3, minval=1)
Level = input(50, minval=1)
//-------------------------
LengthBP = input(13, minval=1)
Trigger = input(0)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posBP = BP(Trigger,LengthBP)
pos = iff(posReversal123 == 1 and posBP == 1 , 1,
iff(posReversal123 == -1 and posBP == -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 2023-09-12. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
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Understand it first
Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.
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