Strategy · Pine Script v5 · On the chart

EMA Crossover 21/50 + Daily Filter

by LePotoRico2105

This strategy executes trend-following trades based on exponential moving average crossovers filtered by a daily trend baseline.

View on GitHub

GitHub stars4on the repository
Pine versionv5runs as is
Lines of code50
Settings6inputs
LicenceMIT
Last update6 months ago3 Apr 2026

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.

Source Code

50 lines of Pine Script v5 from strategies/ema_crossover.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.

ema_crossover.pine
// This Pine Script v5 strategy is licensed under the MIT License
// Tested with Backtrex (https://backtrex.com) on 10 years of M1 data
// Anti-repainting: all references use close[1]

//@version=5
strategy("EMA Crossover 21/50 + Daily Filter", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=2)

// Inputs
fastLen = input.int(21, "Fast EMA Length")
slowLen = input.int(50, "Slow EMA Length")
trendLen = input.int(200, "Daily Trend EMA Length")
atrLen = input.int(14, "ATR Length")
atrMultSL = input.float(1.5, "ATR Multiplier for SL")
atrMultTP = input.float(3.0, "ATR Multiplier for TP")

// Indicators (using close[1] to prevent repainting)
fastEMA = ta.ema(close[1], fastLen)
slowEMA = ta.ema(close[1], slowLen)
dailyEMA = request.security(syminfo.tickerid, "D", ta.ema(close[1], trendLen))
atr = ta.atr(atrLen)

// Crossover signals
bullCross = ta.crossover(fastEMA, slowEMA)
bearCross = ta.crossunder(fastEMA, slowEMA)

// Trend filter
bullTrend = close[1] > dailyEMA
bearTrend = close[1] < dailyEMA

// Entry conditions
longCondition = bullCross and bullTrend
shortCondition = bearCross and bearTrend

// Execute trades
if longCondition
    sl = close - atr * atrMultSL
    tp = close + atr * atrMultTP
    strategy.entry("Long", strategy.long)
    strategy.exit("Long Exit", "Long", stop=sl, limit=tp)

if shortCondition
    sl = close + atr * atrMultSL
    tp = close - atr * atrMultTP
    strategy.entry("Short", strategy.short)
    strategy.exit("Short Exit", "Short", stop=sl, limit=tp)

// Plots
plot(fastEMA, "Fast EMA", color=color.blue)
plot(slowEMA, "Slow EMA", color=color.red)
plot(dailyEMA, "Daily EMA 200", color=color.gray, linewidth=2)

Overview

EMA Crossover 21/50 + Daily Filter calculates a fast EMA and a slow EMA alongside a daily 200 EMA fetched from a daily timeframe. When the fast EMA crosses above the slow EMA while price remains above the daily EMA, a long position is initiated. Bearish crossovers below the daily EMA trigger short positions. Position exits are managed with ATR-based stop-loss and take-profit levels. All three moving averages plot on the price chart.

Details

Published by

LePotoRico2105 on GitHub

Type

Strategy, Pine Script v5

Draws

On the price chart

Category

Trend, Moving averages

Markets

Forex

Timeframes

M15-H1

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Topics

algorithmic-tradingbacktestingforexictpinescriptsmcstrategytradingtradingview

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
Fast EMA Lengthint21fastLen
Slow EMA Lengthint50slowLen
Daily Trend EMA Lengthint200trendLen
ATR Lengthint14atrLen
ATR Multiplier for SLfloat1.5atrMultSL
ATR Multiplier for TPfloat3.0atrMultTP
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

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