Exponential Moving Average Crossover Strategy 438485

Pine ScriptTrend following Mean reversion EMA Bollinger Bands

Author: ChaoZhang
Complexity: Intermediate · 62 lines
Parameters: 7
Backtest bar: 1d · swing
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

The exponential moving average (EMA) crossover is a common trading signal. This strategy uses the crossover of a fast EMA and a slow EMA to generate trading signals. Specifically, when the fast EMA crosses above the slow EMA, a long position is taken; when the fast EMA crosses below the slow EMA, a short position is taken.

This strategy uses the 20-day EMA as the fast EMA, the 50-day EMA as the medium EMA, and the 200-day EMA as the slow EMA. When both the 20-day EMA and 50-day EMA cross above the 200-day EMA, a long position is taken; when both cross below, a short position is taken. This helps filter out some false signals.

Advantages of the Strategy

The moving average crossover strategy is simple and easy to understand and implement
Using multiple moving averages can help filter out false signals
Entry and exit signals are clear

Risks of the Strategy

Prone to generating false signals during range-bound markets
Moving averages have lag and may not capture turns quickly
Unable to take full advantage of explosive moves

Enhancement Ideas

Optimize moving average periods for different products and timeframes
Add filters like volume and Bollinger Bands
Combine with trend following and mean reversion for flexibility

Summary

The moving average crossover strategy is easy to grasp and is one of the foundational quantitative trading strategies. This implementation serves well as an introductory example. But in live trading, parameters would need optimization, and more advanced technical indicators should be added to filter signals and improve performance.

Parameters

Name	Default	What it controls
v_input_int_1	true	From Month
v_input_int_2	true	From Day
v_input_int_3	2021	From Year
v_input_int_4	10	Thru Month
v_input_int_5	25	Thru Day
v_input_int_6	2112	Thru Year
v_input_1	true	Show Date Range

Source Pine Script

/*backtest
start: 2023-01-05 00:00:00
end: 2024-01-11 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © rt-maax

//@version=5

strategy(title = "rt maax EMA cross strategy", shorttitle = "rt maax ema ", overlay = true, precision = 8, max_bars_back = 200, pyramiding = 0, initial_capital = 100000, 
     currency = currency.USD, default_qty_type = strategy.cash, default_qty_value = 100000, commission_type = "percent", commission_value = 0.27)
fastema = ta.ema (close , 50)
fema=ta.ema(close,20)
slowema= ta.ema(close,200)
price = close

// === INPUT BACKTEST RANGE ===
fromMonth = input.int(defval = 1,    title = "From Month",  minval = 1, maxval = 12)
fromDay   = input.int(defval = 1,    title = "From Day",    minval = 1, maxval = 31)
fromYear  = input.int(defval = 2021, title = "From Year",   minval = 1970)
thruMonth = input.int(defval = 10,    title = "Thru Month",  minval = 1, maxval = 12)
thruDay   = input.int(defval = 25,    title = "Thru Day",    minval = 1, maxval = 31)
thruYear  = input.int(defval = 2112, title = "Thru Year",   minval = 1970)

// === INPUT SHOW PLOT ===
showDate  = input(defval = true, title = "Show Date Range")

// === FUNCTION EXAMPLE ===



longCondition1= ta.crossover (fema , fastema) 
longcondition2= fema> slowema
longcondition3=fastema>slowema


if (longCondition1 and longcondition2 and longcondition3 )
    stoploss=low*0.97
    takeprofit=high*1.12
    strategy.entry("Long Entry", strategy.long)
    strategy.exit ("exit","long",stop=stoploss,limit=takeprofit)
   


shortCondition1 = ta.crossunder (fema , fastema )
shortcondition2= fastema< slowema
shortcondition3= fema< slowema

if (shortCondition1 and shortcondition2 and shortcondition3 )
    stoploss=low*0.97 
    takeprofit=high*1.5
    strategy.entry("Short Entry", strategy.short)
    strategy.exit("exit","short",stop=stoploss,limit=takeprofit)

Published by ChaoZhang on the FMZ strategy square · last modified 2024-01-12. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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