Dual Moving Average Indicators Fusion Strategy
Dual Moving Average Indicators Fusion Strategy This strategy integrates the 2/20 MA indicator and the Absolute Price Oscillator (APO) to generate trading signals. First, it calculates a 20-period EMA and generates…
Dual Moving Average Indicators Fusion Strategy
This strategy integrates the 2/20 MA indicator and the Absolute Price Oscillator (APO) to generate trading signals.
First, it calculates a 20-period EMA and generates simple long/short signals when price breaks above or below the EMA. Second, it computes the APO indicator from fast and slow EMA differential to determine bullish/bearish momentum.
Finally, the strategy combines both indicators: long/short entries are triggered when 2/20 MA and APO both give corresponding signals; exits occur when the two issue opposite signals.
The advantage of this dual-indicator strategy is tapping into the technical strengths of each and verifying signals to improve performance. However, integration lag exists.
In summary, the dual moving average fusion strategy synergizes simple and complex indicators to filter noise trades, but proper parameter tuning is required, along with strictly following the suggested usage timeframe, otherwise live performance cannot be guaranteed.
Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_int_1 | 14 | (?●═════ 2/20 EMA ═════●)Length |
| v_input_int_2 | 10 | (?●═════ Absolute Price Oscillator APO ═════●)LengthShortEMA |
| v_input_int_3 | 20 | LengthLongEMA |
| v_input_bool_1 | false | (?●═════ MISC ═════●)Trade reverse |
| v_input_int_4 | true | (?●═════ Time Start ═════●)From Day |
| v_input_int_5 | true | From Month |
| v_input_int_6 | 2005 | From Year |
Source Pine Script
/*backtest
start: 2023-01-01 00:00:00
end: 2023-03-23 00:00:00
period: 12h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 14/01/2022
// This is combo strategies for get a cumulative signal.
//
// First strategy
// This indicator plots 2/20 exponential moving average. For the Mov
// Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
//
// Second strategy
// The Absolute Price Oscillator displays the difference between two exponential
// moving averages of a security's price and is expressed as an absolute value.
// How this indicator works
// APO crossing above zero is considered bullish, while crossing below zero is bearish.
// A positive indicator value indicates an upward movement, while negative readings
// signal a downward trend.
// Divergences form when a new high or low in price is not confirmed by the Absolute Price
// Oscillator (APO). A bullish divergence forms when price make a lower low, but the APO
// forms a higher low. This indicates less downward momentum that could foreshadow a bullish
// reversal. A bearish divergence forms when price makes a higher high, but the APO forms a
// lower high. This shows less upward momentum that could foreshadow a bearish reversal.
//
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
EMA20(Length) =>
pos = 0.0
xPrice = close
xXA = ta.ema(xPrice, Length)
nHH = math.max(high, high[1])
nLL = math.min(low, low[1])
nXS = nLL > xXA or nHH < xXA ? nLL : nHH
iff_1 = nXS < close[1] ? 1 : nz(pos[1], 0)
pos := nXS > close[1] ? -1 : iff_1
pos
APO(LengthShortEMA, LengthLongEMA) =>
pos = 0.0
xPrice = close
xShortEMA = ta.ema(xPrice, LengthShortEMA)
xLongEMA = ta.ema(xPrice, LengthLongEMA)
xAPO = xShortEMA - xLongEMA
iff_1 = xAPO < 0 ? -1 : nz(pos[1], 0)
pos := xAPO > 0 ? 1 : iff_1
pos
strategy(title='Combo 2/20 EMA & Absolute Price Oscillator (APO) ', shorttitle='Combo', overlay=true)
var I1 = '●═════ 2/20 EMA ═════●'
Length = input.int(14, minval=1, group=I1)
var I2 = '●═════ Absolute Price Oscillator (APO) ═════●'
LengthShortEMA = input.int(10, minval=1, group=I2)
LengthLongEMA = input.int(20, minval=1, group=I2)
var misc = '●═════ MISC ═════●'
reverse = input.bool(false, title='Trade reverse', group=misc)
var timePeriodHeader = '●═════ Time Start ═════●'
d = input.int(1, title='From Day', minval=1, maxval=31, group=timePeriodHeader)
m = input.int(1, title='From Month', minval=1, maxval=12, group=timePeriodHeader)
y = input.int(2005, title='From Year', minval=0, group=timePeriodHeader)
StartTrade = time > timestamp(y, m, d, 00, 00) ? true : false
posEMA20 = EMA20(Length)
prePosAPO = APO(LengthShortEMA, LengthLongEMA)
iff_1 = posEMA20 == -1 and prePosAPO == -1 and StartTrade ? -1 : 0
pos = posEMA20 == 1 and prePosAPO == 1 and StartTrade ? 1 : iff_1
iff_2 = reverse and pos == -1 ? 1 : pos
possig = reverse and pos == 1 ? -1 : iff_2
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 2023-09-11. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
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