This mean-reversion strategy plots Bollinger Bands and a long-term moving average directly on the price chart. It enters trades when price candles penetrate the outer Bollinger Bands beyond a user-defined body percentage, anticipating a price reversal. Entries
Strategy · Pine Script v6 · On the chart
EMA Trend Strategy
Calculates a 9-period fast EMA, 21-period slow EMA, and 200-period trend EMA overlaid on the price chart.
GitHub stars1on the repository
Pine versionv6current
Lines of code34
Settings0inputs
LicenceMPL-2.0
Last update4 days ago26 Oct 2026
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above, or the copy button on the code below.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
- 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
34 lines of Pine Script v6 from scripts/ema-trend-strategy.pine.txt, published under MPL-2.0. Keep the author's credit and licence lines when you reuse it.
//@version=6
strategy("EMA Trend Strategy", overlay = true, initial_capital = 10000,
default_qty_type = strategy.percent_of_equity, default_qty_value = 10,
commission_type = strategy.commission.percent, commission_value = 0.05,
slippage = 2)
fastEma = ta.ema(close, 9)
slowEma = ta.ema(close, 21)
trendEma = ta.ema(close, 200)
atr = ta.atr(14)
longSignal = ta.crossover(fastEma, slowEma) and close > trendEma
shortSignal = ta.crossunder(fastEma, slowEma) and close < trendEma
buyMsg = '{"side":"buy","symbol":"{{ticker}}"}'
sellMsg = '{"side":"sell","symbol":"{{ticker}}"}'
if longSignal
strategy.entry("Long", strategy.long, alert_message = buyMsg)
if shortSignal
strategy.entry("Short", strategy.short, alert_message = sellMsg)
if strategy.position_size > 0
strategy.exit("Long exit", "Long",
stop = strategy.position_avg_price - 2 * atr,
limit = strategy.position_avg_price + 3 * atr)
if strategy.position_size < 0
strategy.exit("Short exit", "Short",
stop = strategy.position_avg_price + 2 * atr,
limit = strategy.position_avg_price - 3 * atr)
plot(fastEma, "Fast EMA", color.teal)
plot(slowEma, "Slow EMA", color.orange)
plot(trendEma, "Trend EMA", color.gray, 2)
Overview
EMA Trend Strategy enters long positions when the fast EMA crosses above the slow EMA while price is above the 200 EMA, and short positions when the fast EMA crosses below the slow EMA while price is below the 200 EMA. Exits are managed using a 2x ATR stop loss and a 3x ATR take profit target. Includes built-in JSON alert messages formatted for webhook execution.
- Fast and slow EMA crossover signals
- 200 EMA trend direction filter
- ATR-based dynamic stop loss and take profit
- JSON alert payloads for webhook automation
Details
Published by
jayadevrana on GitHub
Type
Draws
On the price chart
Category
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.
Topics
algorithmic-tradingbacktestingema-crossoverpine-scriptpine-script-v6pinescriptrsitechnical-analysistrading-automationtrading-indicators
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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