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Multi-Target Intelligent Volume Momentum Trading Strategy

Author: ChaoZhang, Date: 2024-12-12 14:45:04
Tags: SMARSITPSL

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This strategy is an intelligent trading system that combines volume, price momentum, and multiple take-profit/stop-loss levels. It identifies potential trading opportunities through a combination of volume anomaly detection, price gains, and momentum indicators, using layered profit-taking and stop-loss management to optimize risk-reward ratios.

Strategy Principles

The strategy is based on three core trading signals: 1) Volume breakthrough - current volume exceeds 2x the 20-period average volume; 2) Price gain - recent price increase exceeds set threshold; 3) Momentum confirmation - RSI above 55 and price above 50-period SMA. When these three conditions are met simultaneously, the system generates a long signal. The strategy employs triple take-profit levels (15%, 25%, 35%) and triple stop-loss levels (-2%, -5%, -10%) for position management, with flexible position sizing at each level.

Strategy Advantages

  1. Multiple signal confirmation improves trading accuracy
  2. Layered take-profit/stop-loss approach both secures profits and controls risks
  3. Highly customizable parameters adapt to different market conditions
  4. Combination of technical indicators and volume analysis provides more reliable signals
  5. Real-time alert functionality enables timely opportunity capture

Strategy Risks

  1. Improper parameter settings may lead to overtrading
  2. Frequent stop-losses may trigger during high market volatility
  3. Difficulty in executing take-profits/stop-losses in low liquidity markets
  4. Missing important fundamental factors
  5. Over-reliance on technical indicators may fail in ranging markets

Optimization Directions

  1. Introduce market condition analysis for parameter adaptation
  2. Add volume quality analysis to filter false volume signals
  3. Include trend strength indicators to improve trend following capability
  4. Optimize take-profit/stop-loss spacing to match market volatility
  5. Consider adding drawdown control for improved equity curve stability

Summary

This is a mature trading strategy integrating multiple technical analysis elements. Through strict signal filtering and flexible position management, it captures trending opportunities while maintaining good risk control. Although there is room for optimization, the overall design is sound and worthy of validation and implementation in live trading.

/*backtest
start: 2024-11-11 00:00:00
end: 2024-12-10 08:00:00
period: 2h
basePeriod: 2h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
strategy("Volume Spike & Momentum Strategy with Alerts", overlay=true)

// Inputs for customization
priceGainPercent = input.float(5, title="Minimum Price Gain (%)", minval=1)
volumeLookback = input.int(20, title="Volume Lookback Period (Bars)", minval=1)
momentumSmaLength = input.int(50, title="SMA Length for Momentum (Bars)", minval=1)
rsiThreshold = input.float(55, title="RSI Threshold for Momentum", minval=1)

// Take Profit percentages
tp1Percent = input.float(15, title="Take Profit 1 (%)", minval=1)
tp2Percent = input.float(25, title="Take Profit 2 (%)", minval=1)
tp3Percent = input.float(35, title="Take Profit 3 (%)", minval=1)

// Percentage of position to close at each take-profit
tp1ClosePercent = input.float(30, title="Close % at TP1", minval=1, maxval=100)
tp2ClosePercent = input.float(40, title="Close % at TP2", minval=1, maxval=100)
tp3ClosePercent = input.float(30, title="Close % at TP3", minval=1, maxval=100)

// Stop-loss percentages
sl1Percent = input.float(2, title="Stop Loss 1 (%)", minval=0.1)
sl2Percent = input.float(5, title="Stop Loss 2 (%)", minval=0.1)
sl3Percent = input.float(10, title="Stop Loss 3 (%)", minval=0.1)

// Percentage of position to close at each stop-loss
sl1ClosePercent = input.float(30, title="Close % at SL1", minval=1, maxval=100)
sl2ClosePercent = input.float(40, title="Close % at SL2", minval=1, maxval=100)
sl3ClosePercent = input.float(30, title="Close % at SL3", minval=1, maxval=100)

// Detect volume spikes
avgVolume = ta.sma(volume, volumeLookback)   // Average volume over the last X bars (customizable)
volumeSpike = volume > avgVolume * 2         // Spike in volume if current volume is 2x the average

// Detect price gain over the recent period (e.g., 5-10% gain over the last X bars)
priceChangePercent = (close - ta.lowest(close, 5)) / ta.lowest(close, 5) * 100
priceGainCondition = priceChangePercent >= priceGainPercent

// Check for overall momentum using an SMA and RSI
longTermSma = ta.sma(close, momentumSmaLength)
rsi = ta.rsi(close, 14)
momentumCondition = close > longTermSma and rsi >= rsiThreshold

// Store the entry price on a new trade
var float entryPrice = na
if (strategy.opentrades == 0 and (volumeSpike and priceGainCondition and momentumCondition))
    entryPrice := close  // Capture the entry price on a new trade

// Calculate take-profit levels based on the entry price
tp1Price = entryPrice * (1 + tp1Percent / 100)
tp2Price = entryPrice * (1 + tp2Percent / 100)
tp3Price = entryPrice * (1 + tp3Percent / 100)

// Calculate stop-loss levels based on the entry price
sl1Price = entryPrice * (1 - sl1Percent / 100)
sl2Price = entryPrice * (1 - sl2Percent / 100)
sl3Price = entryPrice * (1 - sl3Percent / 100)

// Exit conditions for multiple take-profits
tp1Condition = high >= tp1Price  // Exit partial if price hits take-profit 1
tp2Condition = high >= tp2Price  // Exit partial if price hits take-profit 2
tp3Condition = high >= tp3Price  // Exit full if price hits take-profit 3

// Exit conditions for multiple stop-losses
sl1Condition = low <= sl1Price  // Exit partial if price hits stop-loss 1
sl2Condition = low <= sl2Price  // Exit partial if price hits stop-loss 2
sl3Condition = low <= sl3Price  // Exit full if price hits stop-loss 3

// Buy Condition: When volume spike, price gain, and momentum conditions are met
if (volumeSpike and priceGainCondition and momentumCondition)
    strategy.entry("Buy", strategy.long)

// Alerts for conditions
alertcondition(volumeSpike and priceGainCondition and momentumCondition, title="Entry Alert", message="Entry conditions met: Volume spike, price gain, and momentum detected!")

alertcondition(tp1Condition, title="Take Profit 1", message="Take Profit 1 hit!")
alertcondition(tp2Condition, title="Take Profit 2", message="Take Profit 2 hit!")
alertcondition(tp3Condition, title="Take Profit 3", message="Take Profit 3 hit!")

alertcondition(sl1Condition, title="Stop Loss 1", message="Stop Loss 1 hit!")
alertcondition(sl2Condition, title="Stop Loss 2", message="Stop Loss 2 hit!")
alertcondition(sl3Condition, title="Stop Loss 3", message="Stop Loss 3 hit!")

// Exit conditions: Multiple take-profits and stop-losses
if (tp1Condition)
    strategy.exit("Take Profit 1", "Buy", limit=tp1Price, qty_percent=tp1ClosePercent)

if (tp2Condition)
    strategy.exit("Take Profit 2", "Buy", limit=tp2Price, qty_percent=tp2ClosePercent)

if (tp3Condition)
    strategy.exit("Take Profit 3", "Buy", limit=tp3Price, qty_percent=tp3ClosePercent)

// Stop-loss exits
if (sl1Condition)
    strategy.exit("Stop Loss 1", "Buy", stop=sl1Price, qty_percent=sl1ClosePercent)

if (sl2Condition)
    strategy.exit("Stop Loss 2", "Buy", stop=sl2Price, qty_percent=sl2ClosePercent)

if (sl3Condition)
    strategy.exit("Stop Loss 3", "Buy", stop=sl3Price, qty_percent=sl3ClosePercent)

// Plotting take-profit and stop-loss levels on the chart
plot(tp1Price, color=color.green, style=plot.style_linebr, title="TP1 Level")
plot(tp2Price, color=color.green, style=plot.style_linebr, title="TP2 Level")
plot(tp3Price, color=color.green, style=plot.style_linebr, title="TP3 Level")

plot(sl1Price, color=color.red, style=plot.style_linebr, title="SL1 Level")
plot(sl2Price, color=color.red, style=plot.style_linebr, title="SL2 Level")
plot(sl3Price, color=color.red, style=plot.style_linebr, title="SL3 Level")
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