Strategy · Pine Script v6 · On the chart

MA Crossover (Guide Example)

by thenaritlab

A Pine v6 example strategy from a trading guide that enters long when a fast EMA crosses above a slow EMA and short when it crosses below, defaulting to 10 and 50 periods.

View on GitHub

GitHub stars1on the repository
Pine versionv6current
Lines of code53
Settings4inputs
LicenceMIT
Last update7 weeks ago4 Sep 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

53 lines of Pine Script v6 from examples/pine/ma_crossover_strategy.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.

ma_crossover_strategy.pine
//@version=6
// ==============================================================
//  MA Crossover Strategy — ตัวอย่าง Pine Script (TradingView)
//  Logic เดียวกับ examples/mql5/MA_Crossover_EA.mq5
//  ใช้เพื่อ: ทดสอบไอเดียเร็วๆ บน TradingView ก่อนแปลงไป MQL5
//  ⚠️ เพื่อการศึกษาเท่านั้น
// ==============================================================
strategy("MA Crossover (Guide Example)",
     overlay = true,
     initial_capital = 10000,
     default_qty_type = strategy.percent_of_equity,
     default_qty_value = 10,
     commission_type = strategy.commission.percent,
     commission_value = 0.01)

// --- Inputs
fastLen  = input.int(10,  "Fast EMA")
slowLen  = input.int(50,  "Slow EMA")
slPct    = input.float(1.0, "Stop Loss %",   step = 0.1)
tpPct    = input.float(2.0, "Take Profit %", step = 0.1)

// --- Indicators
fastMA = ta.ema(close, fastLen)
slowMA = ta.ema(close, slowLen)

// --- Entry signals
crossUp   = ta.crossover(fastMA, slowMA)
crossDown = ta.crossunder(fastMA, slowMA)

if crossUp
    strategy.entry("Long", strategy.long)
if crossDown
    strategy.entry("Short", strategy.short)

// --- Exit: SL/TP เป็น % จากราคาเข้า
if strategy.position_size > 0
    strategy.exit("Long Exit", "Long",
         stop  = strategy.position_avg_price * (1 - slPct / 100),
         limit = strategy.position_avg_price * (1 + tpPct / 100))
if strategy.position_size < 0
    strategy.exit("Short Exit", "Short",
         stop  = strategy.position_avg_price * (1 + slPct / 100),
         limit = strategy.position_avg_price * (1 - tpPct / 100))

// --- Plot
plot(fastMA, "Fast EMA", color = color.new(color.aqua, 0))
plot(slowMA, "Slow EMA", color = color.new(color.orange, 0))
plotshape(crossUp,   style = shape.triangleup,   location = location.belowbar, color = color.green, size = size.small)
plotshape(crossDown, style = shape.triangledown, location = location.abovebar, color = color.red,   size = size.small)

// --- Alert (ใช้ส่ง webhook ไป bridge → MT5 ได้)
alertcondition(crossUp,   "MA Cross Up",   "BUY {{ticker}} @ {{close}}")
alertcondition(crossDown, "MA Cross Down", "SELL {{ticker}} @ {{close}}")

Overview

Each open position gets a percent stop loss and a percent take profit measured from the average entry price. Size is 10 percent of equity with commission set. It draws both EMAs and entry arrows and has alert conditions. It is written for education and comments are in Thai.

Details

Published by

thenaritlab on GitHub

Draws

On the price chart

Markets

Any symbol

Timeframes

Any timeframe

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.

Settings

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

SettingTypeDefaultVariable
Fast EMAint10fastLen
Slow EMAint50slowLen
Stop Loss %float1.0slPct
Take Profit %float2.0tpPct
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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