Multi Indicator Trend Following Strategy with ATR Dynamic Stop Loss Take Profit

Pine ScriptTrend following Breakout Mean reversion RSI EMA SMA ATR ADX / DMI Volume

Author: ianzeng123
Complexity: Starter · 64 lines
Parameters: 0
Backtest bar: 1d · swing
Tested on: TRB/USDT · spot

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Overview

This strategy is a trend-following trading system based on multiple technical indicators. It combines Exponential Moving Averages (EMA), Relative Strength Index (RSI), Volume, and Average True Range (ATR) to determine entry points, while using ATR for dynamic stop-loss and take-profit levels. The strategy also incorporates candle breakout confirmation to enhance signal reliability.

Strategy Principles

The strategy uses the crossover of fast EMA (9-period) and slow EMA (21-period) to capture trend changes. It incorporates RSI (14-period) to filter out overbought and oversold regions, requiring RSI values to be outside overbought (70) and oversold (30) zones. Additionally, the strategy requires volume to be above its 20-period moving average and price to break the previous candle's high/low for confirmation. Once entered, it employs ATR-based dynamic stop-loss (1.5x ATR), take-profit (3x ATR), and trailing stop (1x ATR) mechanisms to protect profits.

Strategy Advantages

Multiple technical indicators enhance signal reliability
Dynamic stop-loss and take-profit levels adapt to market volatility
Trailing stop mechanism effectively protects profits
Volume confirmation reduces false breakouts
Candle breakout confirmation increases trade accuracy
Strategy parameters can be flexibly adjusted for different markets

Strategy Risks

Multiple indicators may cause missed trading opportunities
Frequent false signals in ranging markets
Rapid volatile movements may lead to suboptimal stop-loss placement
Large gaps may breach stop-loss levels causing unexpected losses Risk management recommendations:

Regular optimization of indicator parameters
Filter trades using higher timeframe trends
Set daily maximum trade limits
Implement proper money management plans

Optimization Directions

Introduce Adaptive Indicator Parameters: Automatically adjust EMA and RSI periods based on market volatility for better adaptation to different market conditions.
Add Market Environment Filters: Incorporate trend strength indicators like ADX to reduce position size or pause trading in ranging markets.
Optimize Stop-Loss Strategy: Consider incorporating support/resistance levels for more effective stop-loss placement.
Enhance Position Sizing: Dynamically adjust position sizes based on market volatility and liquidity.

Summary

This is a well-structured trend-following strategy with solid logic. The combination of multiple technical indicators ensures reliable trading signals while effectively controlling risks. The dynamic stop-loss and take-profit settings provide favorable risk-reward ratios. The strategy has significant optimization potential and can be continuously improved to adapt to various market conditions.

Source Pine Script

/*backtest
start: 2024-02-21 00:00:00
end: 2025-02-18 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Binance","currency":"TRB_USDT"}]
*/

//@version=6
strategy("15m EMA RSI Strategy with ATR SL/TP and Candle Break Confirmation", overlay=true, initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=10)

// INPUTS
fastLength         = input.int(9, title="Fast EMA Length")
slowLength         = input.int(21, title="Slow EMA Length")
rsiLength          = input.int(14, title="RSI Length")
rsiOverbought      = input.int(70, title="RSI Overbought Level")
rsiOversold        = input.int(30, title="RSI Oversold Level")
volLength          = input.int(20, title="Volume MA Length")
atrLength          = input.int(14, title="ATR Length")
atrMultiplierSL    = input.float(1.5, title="ATR Multiplier for Stop Loss")
atrMultiplierTP    = input.float(3.0, title="ATR Multiplier for Take Profit")
trailingStopMultiplier = input.float(1.0, title="ATR Multiplier for Trailing Stop")

// INDICATOR CALCULATIONS
fastEMA  = ta.ema(close, fastLength)
slowEMA  = ta.ema(close, slowLength)
rsiValue = ta.rsi(close, rsiLength)
volMA    = ta.sma(volume, volLength)
atr      = ta.atr(atrLength)

// Candle Breakout Conditions for Confirmation
longCandleBreak  = close > high[1]
shortCandleBreak = close < low[1]

// Plot EMAs for visual reference
plot(fastEMA, color=color.blue, title="Fast EMA")
plot(slowEMA, color=color.orange, title="Slow EMA")

// ENTRY CONDITIONS
longCondition = ta.crossover(fastEMA, slowEMA) and (rsiValue < rsiOverbought) and (volume > volMA) and longCandleBreak
shortCondition = ta.crossunder(fastEMA, slowEMA) and (rsiValue > rsiOversold) and (volume > volMA) and shortCandleBreak

// Plot Buy/Sell Signals on the Chart
plotshape(longCondition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, size=size.normal)
plotshape(shortCondition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, size=size.normal)

// TRADE EXECUTION WITH ATR-BASED STOP LOSS, TAKE PROFIT, AND TRAILING STOP
if longCondition
    longStop = close - atrMultiplierSL * atr
    longTP   = close + atrMultiplierTP * atr
    strategy.entry("Long", strategy.long)
    strategy.exit("Exit Long", from_entry="Long", stop=longStop, limit=longTP, trail_points=atr * trailingStopMultiplier)

if shortCondition
    shortStop = close + atrMultiplierSL * atr
    shortTP   = close - atrMultiplierTP * atr
    strategy.entry("Short", strategy.short)
    strategy.exit("Exit Short", from_entry="Short", stop=shortStop, limit=shortTP, trail_points=atr * trailingStopMultiplier)

// OPTIONAL: Plot RSI for reference
hline(rsiOverbought, "Overbought", color=color.red)
hline(rsiOversold, "Oversold", color=color.green)
plot(rsiValue, color=color.purple, title="RSI")

Published by ianzeng123 on the FMZ strategy square · last modified 2025-02-27. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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