Short Term Medium Term and Long Term EMA Crossover Trading Strategy

Pine ScriptTrend following Breakout Mean reversion MACD EMA

Author: ChaoZhang
Complexity: Starter · 64 lines
Parameters: 5
Backtest bar: 30m · intraday
Tested on: BTC/USDT · futures

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This strategy generates trading signals based on three exponential moving average lines (EMA) with different periods: short-term EMA with 5-day period, medium-term EMA with 8-day period and long-term EMA with 13-day period. It goes long when the short-term EMA crosses over the medium-term and long-term EMAs, and goes short when the short-term EMA crosses under the medium-term and long-term EMAs.

Strategy Logic

This strategy judges the market trend by calculating EMAs of different periods. The short-term EMA reflects the average price of the recent few days while the medium- and long-term EMAs reflect the average price over longer timeframes. The crossover of short-term EMA over medium- and long-term EMAs signals an upward breakout of the price, so a long position is taken. Conversely, when the short-term EMA crosses under the other two, it signals a downward price breakout so a short position is taken.

Specifically, this strategy concurrently computes 5-day, 8-day and 13-day EMAs. It generates long signals when the 5-day EMA crosses over the 8-day and 13-day ones; it generates short signals when the 5-day EMA crosses under the other two. After going long, the position is closed once the 5-day EMA crosses back under the 13-day EMA. Likewise for the short position.

Advantages of the Strategy

Using multiple-period EMAs avoids missing key trend reversal points that could occur with overly short or long single EMA periods
Combining three EMAs of short, medium and long terms enhances reliability of trading signals
Smoothed pricing via EMAs filters out some market noise and prevents unnecessary entries

Risks of the Strategy

All three EMAs are lagging trend indicators, inherently containing some time delays before actual price breakouts, risking late signals
EMAs cannot effectively distinguish real trends versus short-term corrections, apt to yield false signals
Fixed EMA periods cannot adapt to varying market regimes across different timeframes

Improvement ideas:

Adding other indicators like MACD to better gauge real trend, avoiding false signals
Flexibly tuning EMA period parameters for different products and market environments
Adding moving stop loss to lock in profits and control risks

Summary

This is a typical breakout system that judges trend reversals by comparing crossovers between short, medium and long-period EMAs. Its simplicity in signaling facilitates ease of trading, but also suffers from EMAs' inherent lagging and inability to filter real trends from temporary corrections. Future enhancements may integrate other technical indicators or adaptive parameter tuning to optimize it.

Parameters

Name	Default	What it controls
v_input_1	2020	Backtest Start Year
v_input_2	5	Length
v_input_3	8	Length
v_input_4	13	Length
v_input_5	false	Long Only

Source Pine Script

/*backtest
start: 2023-11-16 00:00:00
end: 2023-11-23 00:00:00
period: 30m
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
// 
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © gregoirejohnb
// @It is modified by ttsaadet.
// Moving average crossover systems measure drift in the market. They are great strategies for time-limited people.
// So, why don't more people use them?
// 

//
strategy(title="EMA Crossover Strategy", shorttitle="EMA-5-8-13 COS by TTS", overlay=true, pyramiding=0, default_qty_type=strategy.percent_of_equity, default_qty_value=100, currency=currency.TRY,commission_type=strategy.commission.percent,commission_value=0.04, process_orders_on_close = true, initial_capital = 100000)

// === GENERAL INPUTS ===
//strategy start date
start_year = input(defval=2020, title="Backtest Start Year")

// === LOGIC ===
short_period = input(type=input.integer,defval=5,minval=1,title="Length")
mid_period = input(type=input.integer,defval=8,minval=1,title="Length")
long_period = input(type=input.integer,defval=13,minval=1,title="Length")

longOnly = input(type=input.bool,defval=false,title="Long Only")
shortEma = ema(hl2,short_period)
midEma = ema(hl2,mid_period)
longEma = ema(hl2,long_period)

plot(shortEma,linewidth=2,color=color.red,title="Fast")
plot(midEma,linewidth=2,color=color.orange,title="Fast")
plot(longEma,linewidth=2,color=color.blue,title="Slow")

longEntry = ((shortEma > midEma) and crossover(shortEma,longEma)) or ((shortEma > longEma) and crossover(shortEma,midEma))
shortEntry =((shortEma < midEma) and crossunder(shortEma,longEma)) or ((shortEma < longEma) and crossunder(shortEma,midEma))

plotshape(longEntry ? close : na,style=shape.triangleup,color=color.green,location=location.belowbar,size=size.small,title="Long Triangle")
plotshape(shortEntry and not longOnly ? close : na,style=shape.triangledown,color=color.red,location=location.abovebar,size=size.small,title="Short Triangle")
plotshape(shortEntry and longOnly ? close : na,style=shape.xcross,color=color.black,location=location.abovebar,size=size.small,title="Exit Sign")

// === STRATEGY - LONG POSITION EXECUTION ===
enterLong() =>
    longEntry 
exitLong() =>
    crossunder(shortEma,longEma)

strategy.entry(id="Long", long=strategy.long, when=enterLong())
strategy.close(id="Long", when=exitLong())


// === STRATEGY - SHORT POSITION EXECUTION ===

enterShort() =>
    not longOnly and shortEntry  
exitShort() =>
    crossover(shortEma,longEma)

strategy.entry(id="Short", long=strategy.short, when=enterShort())
strategy.close(id="Short", when=exitShort())

Published by ChaoZhang on the FMZ strategy square · last modified 2023-11-24. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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