Enhanced Price Volume Trend Momentum Strategy

Pine ScriptMomentum Trend following Mean reversion MACD EMA SMA ATR Volume

Author: ChaoZhang
Complexity: Starter · 83 lines
Parameters: 0
Backtest bar: 1d · swing
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

This strategy is a trading system based on MACD indicator and price-volume relationship, which identifies market trend reversal points by observing changes in MACD histogram patterns. The strategy employs a dynamic profit-taking and stop-loss mechanism using the ATR indicator to adapt to market volatility and effectively control risk.

Strategy Principle

The core logic of the strategy is built on the color changes of MACD histogram, combined with dual EMA and SMA moving average systems. When the MACD histogram transitions from dark to light color, it indicates a momentum shift, triggering the system to execute trades. Specifically:

Calculate MACD values using fast(12) and slow(26) moving averages
Smooth MACD with a 9-period signal line
Monitor color depth changes in MACD histogram
Set dynamic profit targets and stop losses using 14-period ATR

Strategy Advantages

Scientific combination of indicators, with MACD effectively capturing trends and ATR adapting to volatility
Flexible profit-taking and stop-loss settings adjustable through multiplier parameters for different market characteristics
Clear trading signals with intuitive entry timing based on histogram color changes
Accommodates both long and short trading, increasing strategy versatility and profit opportunities

Strategy Risks

MACD as a lagging indicator may miss optimal entry points in rapid market movements
May generate false signals in ranging markets, leading to frequent trading
Improper ATR multiplier settings can result in stops being too loose or too tight
Requires proper money management to avoid excessive single-trade losses

Strategy Optimization Directions

Incorporate volume confirmation signals to improve signal reliability
Add trend filters to reduce false signals in ranging markets
Optimize profit-taking and stop-loss multipliers with dynamic adjustment based on different timeframes
Include volatility filtering to reduce trading frequency during highly volatile periods
Consider implementing time filters to avoid trading during unfavorable periods

Summary

This is a comprehensive strategy combining classic technical analysis indicator MACD with modern risk control methods. It captures market momentum shifts by observing MACD histogram pattern changes while using ATR for dynamic risk control. The strategy is well-designed with clear operational logic and practical value. Through continuous optimization and improvement, this strategy shows promise for better performance in real trading conditions.

Source Pine Script

/*backtest
start: 2019-12-23 08:00:00
end: 2025-01-08 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT","balance":49999}]
*/

//@version=5
strategy(title="Xuan cut MACD short of empty energy capacity strategy", shorttitle="Xuan cut MACD short of short energy capacity strategy", overlay=true)

//=== 1) Parameter ===//
fast_length   = input.int(title="Fast Length",        defval=12)
slow_length   = input.int(title="Slow Length",        defval=26)
src           = input.source(title="MACD Source",     defval=close)
signal_length = input.int(title="Signal Smoothing",   defval=9,  minval=1, maxval=50)
sma_source    = input.string(title="Oscillator MA Type", defval="EMA", options=["SMA","EMA"])
sma_signal    = input.string(title="Signal MA Type",     defval="EMA", options=["SMA","EMA"])

// Enable multiple orders / Empty order
useLong       = input.bool(title="Enable multiple orders?(Bottom red)", defval=true)
useShort      = input.bool(title="Enable short orders?(Top green)", defval=true)

// Take profit multiple (1~10times ATR)
tpATRmult     = input.int(title="take profit ATR multiple (1~10)", defval=10, minval=1, maxval=500)
// Stop loss multiple (1~10times ATR)
slATRmult     = input.int(title="Stop loss ATR multiple (1~10)", defval=3, minval=1, maxval=500)

//=== 2) MACD Calculate ===//
fast_ma  = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma  = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd     = fast_ma - slow_ma
signal   = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
hist     = macd - signal

//=== 3) Determine dark color/Light Color (Used for Change Signals))===//
darkGreen  = hist >= 0 and hist <= hist[1]   // Above, the bars shrink or remain flat
lightGreen = hist >= 0 and hist >  hist[1]   // Above, bars become larger
darkRed    = hist <  0 and hist <= hist[1]   // Below, the bars (absolute value) increase or stay the same
lightRed   = hist <  0 and hist >  hist[1]   // Below, the bars (absolute value) shrink

// By "Deep → Did 'shallow' occur in the previous one
colorChangeToLightGreen = darkGreen[1] and lightGreen
colorChangeToLightRed   = darkRed[1]   and lightRed

//=== 4) ATR Calculate (Used for take profit and stop loss) ===//
atrPeriod  = 14
atrValue   = ta.atr(atrPeriod)

//=== 5) Long position strategy: dark red → Light Red (Bottom red) ===//
if useLong and colorChangeToLightRed
    // With Current K Line low - ATRMultiplier as Stop Loss for Long Position
    longStopLoss   = low - (slATRmult * atrValue)
    // With Current close + ATRMultiplier as Take Profit for Long Position
    longTakeProfit = close + (tpATRmult * atrValue)

    // Enter Long
    strategy.entry("Long Entry", strategy.long, comment="Many", qty=1)
    strategy.exit("close long", "Long Entry", stop=longStopLoss, limit=longTakeProfit)

//=== 6) Short position strategy: dark green → Light Green (Top green) ===//
if useShort and colorChangeToLightGreen
    // With Current K Line high + ATRMultiplier as Stop Loss for Short Position
    shortStopLoss   = high + (slATRmult * atrValue)
    // With Current close - ATRMultiplier as Take Profit for Short Position
    shortTakeProfit = close - (tpATRmult * atrValue)

    // Enter Short
    strategy.entry("Short Entry", strategy.short, comment="Empty", qty=1)
    strategy.exit("close short", "Short Entry", stop=shortStopLoss, limit=shortTakeProfit)

//=== 7) Draw MACD and histogram ===//
hline(0, "Zero Line", color=color.new(#787B86, 50))

// Bar chart color:
//   - Above (hist >= 0) Hour:hist Bigger than the previous one (Light Green) Or Small (Dark Green)
//   - Below (hist < 0)  Hour:hist Bigger than the previous one (Light Red) Or Small (Dark Red)
plot(hist,title="Histogram",style=plot.style_columns,color = hist >= 0? (hist > hist[1]  ? #26A69A : #B2DFDB)   : (hist > hist[1]  ? #FFCDD2 : #FF5252)  )

// Draw MACD And Signal
plot(macd,   title="MACD",   color=#2962FF)
plot(signal, title="Signal", color=#FF6D00)

Published by ChaoZhang on the FMZ strategy square · last modified 2025-01-10. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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