Combo 2 20 EMA Bandpass Filter
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…
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 related article is copyrighted material from Stocks & Commodities Mar 2010
WARNING:
- For purpose educate only
- This script to change bars colors.
backtest

Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_int_1 | 14 | (?●═════ 2/20 EMA ═════●)Length |
| v_input_int_2 | 20 | (?●═════ Bandpass Filter ═════●)LengthBPF |
| v_input_1 | 0.5 | Delta |
| v_input_float_1 | 5 | SellZone |
| v_input_float_2 | -5 | BuyZone |
| v_input_bool_1 | false | (?●═════ MISC ═════●)Trade reverse |
| v_input_int_3 | true | (?●═════ Time Start ═════●)From Day |
| v_input_int_4 | true | From Month |
| v_input_int_5 | 2005 | From Year |
Source Pine Script
//@version=5
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 05/04/2022
// 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 related article is copyrighted material from
// Stocks & Commodities Mar 2010
//
//
// 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
BPF(Length,Delta,SellZone,BuyZone) =>
pos = 0.0
xPrice = hl2
beta = math.cos(3.14 * (360 / Length) / 180)
gamma = 1 / math.cos(3.14 * (720 * Delta / Length) / 180)
alpha = gamma - math.sqrt(gamma * gamma - 1)
BP = 0.0
BP := 0.5 * (1 - alpha) * (xPrice - xPrice[2]) + beta * (1 + alpha) * nz(BP[1]) - alpha * nz(BP[2])
pos:= BP > SellZone ? 1 :
BP <= BuyZone? -1 : nz(pos[1], 0)
pos
strategy(title='Combo 2/20 EMA & Bandpass Filter', shorttitle='Combo', overlay=true)
var I1 = '●═════ 2/20 EMA ═════●'
Length = input.int(14, minval=1, group=I1)
var I2 = '●═════ Bandpass Filter ═════●'
LengthBPF = input.int(20, minval=1, group=I2)
Delta = input(0.5, group=I2)
SellZone = input.float(5, step = 0.01, group=I2)
BuyZone = input.float(-5, step = 0.01, 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)
prePosBPF = BPF(LengthBPF,Delta,SellZone,BuyZone)
iff_1 = posEMA20 == -1 and prePosBPF == -1 and StartTrade ? -1 : 0
pos = posEMA20 == 1 and prePosBPF == 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 2022-05-12. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
Build this with AgenKit
A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.
/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/Combo-2-20-EMA-Bandpass-Filter.md- npx agenkit install engineering-kit in your project
- Paste the command into your agent and approve each phase
- Get tests, backtest, risk controls and a paper-trading switch
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.