Triple EMA Breakout Strategy
The triple EMA breakout strategy is a quantitative strategy that uses the triple exponential moving average (EMA) indicator for trade signal generation. It produces trading signals when price breaks through the…
Strategy Overview
The triple EMA breakout strategy is a quantitative strategy that uses the triple exponential moving average (EMA) indicator for trade signal generation. It produces trading signals when price breaks through the triple EMA and goes long or short based on the breakout direction. The strategy mainly aims to capture medium-short term trend changes.
Strategy Logic
Calculate the triple EMA with the formula: 3 x EMA(n) - 3 x EMA[EMA(n)] + EMA[EMA(EMA(n))]
Go long when price breaks above the triple EMA.
Go short when price breaks below the triple EMA.
Exit signals are generated when price breaks back below or above the triple EMA.
The triple EMA iterates on the single EMA for faster reaction to trend and turning points. It retains the trend following nature of EMAs while smoothing the curve.
The breakout validity depends on EMA parameter tuning, which can be adjusted for optimal trading performance.
Advantages of the Strategy
Simple and direct triple EMA calculation
Faster response to price changes
Smoothed curve, effective oscillation filter
Easy trend direction identification
Adjustable parameters adaptable to market conditions
Risk Warnings
Potential price following lag exists
Prevent false breakouts
EMA parameter optimization required
Hard to determine trend duration
Conclusion
The triple EMA breakout strategy innovatively applies the MA indicator for unique advantages in capturing medium-short term trend changes. Excellent trading results can be achieved through parameter tuning. The strategy is worth backtesting, live optimization, and integration for application.
Parameters
| Name | Default | What it controls |
|---|---|---|
| v_input_1 | 26 | Length |
| v_input_2 | false | Trade reverse |
Source Pine Script
/*backtest
start: 2023-01-01 00:00:00
end: 2023-04-25 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=2
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 14/08/2018
// This study plots the TEMA1 indicator. TEMA1 ia s triple MA (Moving Average),
// and is calculated as 3*MA - (3*MA(MA)) + (MA(MA(MA)))
//
// You can change long to short in the Input Settings
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
strategy(title="TEMA1 Backtest", shorttitle="TEMA", overlay = true )
Length = input(26, minval=1)
reverse = input(false, title="Trade reverse")
xPrice = close
xEMA1 = ema(xPrice, Length)
xEMA2 = ema(xEMA1, Length)
xEMA3 = ema(xEMA2, Length)
nRes = 3 * xEMA1 - 3 * xEMA2 + xEMA3
pos = iff(close > nRes, 1,
iff(close < nRes, -1, nz(pos[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)
barcolor(possig == -1 ? red: possig == 1 ? green : blue ) Published by ChaoZhang on the FMZ strategy square · last modified 2023-12-01. 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/Triple-EMA-Breakout-Strategy.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.
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