Triple EMA Pullback Breakout Trading Strategy

This strategy observes price action around triple EMAs to determine trends and trades breakouts after pullbacks. It aims to capture pullback opportunities within broader uptrends and downtrends. Strategy Logic: 1…

Pine ScriptBreakout Trend following EMA

Author: ChaoZhang
Complexity: Intermediate · 120 lines
Parameters: 10
Backtest bar: 5m · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

This strategy observes price action around triple EMAs to determine trends and trades breakouts after pullbacks. It aims to capture pullback opportunities within broader uptrends and downtrends.

Strategy Logic:

Set fast, medium and slow EMAs, typically 25, 100, 200 periods.
Price hitting fastest EMA during upside/downside pullback indicates interim bull/bear.
Enter long on bounce off upside pullback when price breaks above fastest EMA. Enter short on bounce off downside pullback when price breaks below fastest EMA.
Color-code buy/sell zones for visual intuition.
Use fixed stop loss and risk/reward ratio for risk management.

Advantages:

Pullback trading enjoys higher win rate.
Triple EMAs discern trends and avoid whipsaws.
Risk/reward ratio enhances performance sustainability.

Risks:

Extended pullbacks may miss best entry timing.
EMA tuning needed to match different periods.
Fixed stops can be too mechanic and need calibration.

In summary, this strategy trades pullback breakouts using triple EMAs to track broader trends. The risk controls help generate steady long-term gains but parameter optimization and pullback judgement remain essential.

Parameters

Name	Default	What it controls
v_input_source_1_close	0	Source: close \| high \| low \| open \| hl2 \| hlc3 \| hlcc4 \| ohlc4
v_input_float_1	2	(?Money Management)Ratio Risk/Reward
v_input_float_2	50	min of pips (00001.00) for each position
v_input_float_3	2	Risk per Trade %
v_input_int_1	25	(?Ema Period)Rapide
v_input_int_2	100	Moyenne
v_input_int_3	200	Lente
v_input_bool_1	true	(?Backtest Time Period)Filter Date Range of Backtest
v_input_1	timestamp(5 June 2022)	Start Date
v_input_2	timestamp(5 July 2022)	End Date

Source Pine Script

/*backtest
start: 2023-09-04 00:00:00
end: 2023-09-11 00:00:00
period: 5m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
strategy(title="Pullback", overlay=true, initial_capital=1000, slippage=25)

averageData = input.source(close, title="Source")
target_stop_ratio = input.float(title="Ratio Risk/Reward", defval=2, group="Money Management")
security = input.float(50, title='min of pips (00001.00) for each position', group="Money Management")
risk = input.float(2, title="Risk per Trade %", group="Money Management")

riskt = risk / 100 + 1

ema1V = input.int(25, title="Rapide", group="Ema Period")
ema2V = input.int(100, title="Moyenne", group="Ema Period")
ema3V = input.int(200, title="Lente", group="Ema Period")

ema1 = ta.ema(averageData, ema1V)
ema2 = ta.ema(averageData, ema2V)
ema3 = ta.ema(averageData, ema3V)

useDateFilter = input.bool(true, title="Filter Date Range of Backtest",
     group="Backtest Time Period")
backtestStartDate = input(timestamp("5 June 2022"), 
     title="Start Date", group="Backtest Time Period",
     tooltip="This start date is in the time zone of the exchange " + 
     "where the chart's instrument trades. It doesn't use the time " + 
     "zone of the chart or of your computer.")
backtestEndDate = input(timestamp("5 July 2022"),
     title="End Date", group="Backtest Time Period",
     tooltip="This end date is in the time zone of the exchange " + 
     "where the chart's instrument trades. It doesn't use the time " + 
     "zone of the chart or of your computer.")

inTradeWindow = true

float pricePullAboveEMA_maxClose = na
float pricePullBelowEMA_minClose = na

if ta.crossover(close, ema1)
    pricePullAboveEMA_maxClose := close
  
else
    pricePullAboveEMA_maxClose := pricePullAboveEMA_maxClose[1]

if close > pricePullAboveEMA_maxClose
    pricePullAboveEMA_maxClose := close

if ta.crossunder(close, ema1)
    pricePullBelowEMA_minClose := close
 
else
    pricePullBelowEMA_minClose := pricePullBelowEMA_minClose[1]

if close < pricePullBelowEMA_minClose
    pricePullBelowEMA_minClose := close

BuyZone = ema1 > ema2 and ema2 > ema3
SellZone = ema1 < ema2 and ema2 < ema3

longcondition = ta.crossover(close, ema1) and pricePullBelowEMA_minClose > ema3 and pricePullBelowEMA_minClose < ema1 
shortcondition = ta.crossunder(close , ema1) and pricePullAboveEMA_maxClose < ema3 and pricePullAboveEMA_maxClose > ema1

float risk_long = na
float risk_short = na
float stopLoss = na
float takeProfit = na
float entry_price = na

risk_long := risk_long[1]
risk_short := risk_short[1]

lotB = (strategy.equity*riskt-strategy.equity)/(close - ema2)
lotS = (strategy.equity*riskt-strategy.equity)/(ema2 - close)

if strategy.position_size == 0 and BuyZone and longcondition and inTradeWindow
    risk_long := (close - ema2) / close
    minp = close - ema2
    if minp > security
        strategy.entry("long", strategy.long, qty=lotB)
    
if strategy.position_size == 0 and SellZone and shortcondition and inTradeWindow
    risk_short := (ema2 - close) / close
    minp = ema2 - close
    if minp > security
        strategy.entry("short", strategy.short, qty=lotS)
    
if strategy.position_size > 0

    stopLoss := strategy.position_avg_price * (1 - risk_long)
    takeProfit := strategy.position_avg_price * (1 + target_stop_ratio * risk_long)
    entry_price := strategy.position_avg_price
    strategy.exit("long exit", "long", stop = stopLoss, limit = takeProfit)
    
if strategy.position_size < 0

    stopLoss := strategy.position_avg_price * (1 + risk_short)
    takeProfit := strategy.position_avg_price * (1 - target_stop_ratio * risk_short)
    entry_price := strategy.position_avg_price
    strategy.exit("short exit", "short", stop = stopLoss, limit = takeProfit)
    
plot(ema1, color=color.blue, linewidth=2, title="Ema Rapide")
plot(ema2, color=color.orange, linewidth=2, title="Ema Moyenne")
plot(ema3, color=color.white, linewidth=2, title="Ema Lente")
p_ep = plot(entry_price, color=color.new(color.white, 0), linewidth=2, style=plot.style_linebr, title='entry price')
p_sl = plot(stopLoss, color=color.new(color.red, 0), linewidth=2, style=plot.style_linebr, title='stopLoss')
p_tp = plot(takeProfit, color=color.new(color.green, 0), linewidth=2, style=plot.style_linebr, title='takeProfit')
fill(p_sl, p_ep, color.new(color.red, transp=85))
fill(p_tp, p_ep, color.new(color.green, transp=85))

bgcolor(BuyZone ? color.new(color.green, 95)  : na)
bgcolor(SellZone ? color.new(color.red, 95)  : na)

Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-12. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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Source Pine Script

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