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双重Vegas通道波动性调整SuperTrend量化交易策略

Author: ChaoZhang, Date: 2024-06-03 11:16:38
Tags: ATRSMASTDHLC3

双重Vegas通道波动性调整SuperTrend量化交易策略

概述

“双重Vegas通道波动性调整SuperTrend量化交易策略”是一个高级的量化交易系统,结合了两个具有不同参数设置的Vegas通道波动性调整SuperTrend指标,旨在更准确地捕捉市场趋势并生成与总体市场方向一致的交易信号。该策略通过整合波动性调整和利用Vegas通道的宽度来优化SuperTrend计算,形成一个动态响应的交易系统。此外,该策略还结合了可自定义的止盈和止损水平,为风险管理提供了一个稳健的框架。

策略原理

该策略首先计算Vegas通道,该通道由特定窗口长度内收盘价的简单移动平均线(SMA)和标准差(STD)派生而来。该通道有助于衡量市场波动性,并为调整SuperTrend指标奠定了基础。接下来,利用平均真实范围(ATR)和调整后的乘数确定SuperTrend的上下阈值。市场趋势通过将收盘价与SuperTrend阈值进行比较来确定。只有当两个SuperTrend指标都指向相同的市场方向时,才会生成交易信号。

策略优势

“双重Vegas通道波动性调整SuperTrend量化交易策略”的主要优势在于它能够动态调整SuperTrend指标以适应不断变化的市场条件。通过整合Vegas通道宽度,该策略可以更好地应对市场波动,提高趋势识别的准确性。此外,使用两个具有不同参数设置的SuperTrend指标可以提供更全面的市场视角,有助于确认趋势并过滤掉错误信号。可自定义的止盈和止损水平进一步增强了该策略的风险管理能力。

策略风险

尽管该策略旨在提高趋势识别的准确性,但仍然存在一些风险。首先,在波动性极高或市场走势不明朗的情况下,该策略可能会生成错误的交易信号。其次,过于频繁的交易可能导致高昂的交易成本,影响策略的整体表现。为了缓解这些风险,交易者可以考虑优化策略参数,如调整ATR周期、Vegas通道窗口长度和SuperTrend乘数,以适应特定的市场条件。此外,设置适当的止盈和止损水平也至关重要,以控制潜在损失。

策略优化方向

“双重Vegas通道波动性调整SuperTrend量化交易策略”可以通过多种方式进行优化。一个潜在的优化方向是结合其他技术指标,如相对强弱指数(RSI)或移动平均线收敛发散(MACD),以提高趋势确认的可靠性。另一个优化方向是引入自适应机制,根据市场状况动态调整策略参数。这可以通过使用机器学习算法或基于规则的方法来实现。此外,优化持仓时间和止盈止损水平也可以提高策略的整体表现。

总结

总的来说,“双重Vegas通道波动性调整SuperTrend量化交易策略”是一个强大的交易系统,通过整合波动性调整和利用Vegas通道宽度来提高趋势识别的准确性。该策略使用两个具有不同参数设置的SuperTrend指标,以获得更全面的市场视角。尽管该策略展现出了巨大的潜力,但仍需谨慎对待其固有风险。通过优化策略参数、引入其他技术指标和实施自适应机制,可以进一步提高该策略的性能。

/*backtest
start: 2024-05-01 00:00:00
end: 2024-05-31 23:59:59
period: 3h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © PresentTrading

// The "Double Vegas SuperTrend Enhanced" strategy uses two SuperTrend indicators with different ATR and Vegas Channel settings 
// to identify market trends and generate trades. Trades are executed only when both SuperTrends align in the same direction. 
// The strategy includes configurable take-profit and stop-loss levels, and plots the SuperTrend levels on the chart.

//@version=5
strategy("Double Vegas SuperTrend Enhanced - Strategy [presentTrading]", shorttitle="Double Vegas SuperTrend Enhanced - Strategy [presentTrading]", overlay=true, overlay = false, 
 precision=3, commission_value= 0.1, commission_type=strategy.commission.percent, slippage= 1, currency=currency.USD, default_qty_type = strategy.percent_of_equity, 
 default_qty_value = 10, initial_capital= 10000)


// Input settings allow the user to customize the strategy's parameters.
tradeDirectionChoice = input.string(title="Trade Direction", defval="Both", options=["Long", "Short", "Both"]) // Option to select the trading direction

// Settings for the first Vegas SuperTrend
atrPeriod1 = input(10, "ATR Period for SuperTrend 1") // Length of the ATR for volatility measurement
vegasWindow1 = input(100, "Vegas Window Length 1") // Length of the moving average for the Vegas Channel
superTrendMultiplier1 = input(5, "SuperTrend Multiplier Base 1") // Base multiplier for the SuperTrend calculation
volatilityAdjustment1 = input.float(5, "Volatility Adjustment Factor 1") // Factor to adjust the SuperTrend sensitivity to the Vegas Channel width

// Settings for the second Vegas SuperTrend
atrPeriod2 = input(5, "ATR Period for SuperTrend 2") // Length of the ATR for volatility measurement
vegasWindow2 = input(200, "Vegas Window Length 2") // Length of the moving average for the Vegas Channel
superTrendMultiplier2 = input(7, "SuperTrend Multiplier Base 2") // Base multiplier for the SuperTrend calculation
volatilityAdjustment2 = input.float(7, "Volatility Adjustment Factor 2") // Factor to adjust the SuperTrend sensitivity to the Vegas Channel width

// Settings for Hold Days and TPSL Conditions
useHoldDays = input.bool(true, title="Use Hold Days")
holdDays = input.int(5, title="Hold Days", minval=1, maxval=60, step=1)
TPSLCondition = input.string("None", "TPSL Condition", options=["TP", "SL", "Both", "None"])
takeProfitPerc = input(30.0, title="Take Profit (%)")
stopLossPerc = input(20.0, title="Stop Loss (%)")

// Calculate the first Vegas Channel using a simple moving average and standard deviation.
vegasMovingAverage1 = ta.sma(close, vegasWindow1)
vegasChannelStdDev1 = ta.stdev(close, vegasWindow1)
vegasChannelUpper1 = vegasMovingAverage1 + vegasChannelStdDev1
vegasChannelLower1 = vegasMovingAverage1 - vegasChannelStdDev1

// Adjust the first SuperTrend multiplier based on the width of the Vegas Channel.
channelVolatilityWidth1 = vegasChannelUpper1 - vegasChannelLower1
adjustedMultiplier1 = superTrendMultiplier1 + volatilityAdjustment1 * (channelVolatilityWidth1 / vegasMovingAverage1)

// Calculate the first SuperTrend indicator values.
averageTrueRange1 = ta.atr(atrPeriod1)
superTrendUpper1 = hlc3 - (adjustedMultiplier1 * averageTrueRange1)
superTrendLower1 = hlc3 + (adjustedMultiplier1 * averageTrueRange1)
var float superTrendPrevUpper1 = na
var float superTrendPrevLower1 = na
var int marketTrend1 = 1

// Update SuperTrend values and determine the current trend direction for the first SuperTrend.
superTrendPrevUpper1 := nz(superTrendPrevUpper1[1], superTrendUpper1)
superTrendPrevLower1 := nz(superTrendPrevLower1[1], superTrendLower1)
marketTrend1 := close > superTrendPrevLower1 ? 1 : close < superTrendPrevUpper1 ? -1 : nz(marketTrend1[1], 1)
superTrendUpper1 := marketTrend1 == 1 ? math.max(superTrendUpper1, superTrendPrevUpper1) : superTrendUpper1
superTrendLower1 := marketTrend1 == -1 ? math.min(superTrendLower1, superTrendPrevLower1) : superTrendLower1
superTrendPrevUpper1 := superTrendUpper1
superTrendPrevLower1 := superTrendLower1

// Calculate the second Vegas Channel using a simple moving average and standard deviation.
vegasMovingAverage2 = ta.sma(close, vegasWindow2)
vegasChannelStdDev2 = ta.stdev(close, vegasWindow2)
vegasChannelUpper2 = vegasMovingAverage2 + vegasChannelStdDev2
vegasChannelLower2 = vegasMovingAverage2 - vegasChannelStdDev2

// Adjust the second SuperTrend multiplier based on the width of the Vegas Channel.
channelVolatilityWidth2 = vegasChannelUpper2 - vegasChannelLower2
adjustedMultiplier2 = superTrendMultiplier2 + volatilityAdjustment2 * (channelVolatilityWidth2 / vegasMovingAverage2)

// Calculate the second SuperTrend indicator values.
averageTrueRange2 = ta.atr(atrPeriod2)
superTrendUpper2 = hlc3 - (adjustedMultiplier2 * averageTrueRange2)
superTrendLower2 = hlc3 + (adjustedMultiplier2 * averageTrueRange2)
var float superTrendPrevUpper2 = na
var float superTrendPrevLower2 = na
var int marketTrend2 = 1

// Update SuperTrend values and determine the current trend direction for the second SuperTrend.
superTrendPrevUpper2 := nz(superTrendPrevUpper2[1], superTrendUpper2)
superTrendPrevLower2 := nz(superTrendPrevLower2[1], superTrendLower2)
marketTrend2 := close > superTrendPrevLower2 ? 1 : close < superTrendPrevUpper2 ? -1 : nz(marketTrend2[1], 1)
superTrendUpper2 := marketTrend2 == 1 ? math.max(superTrendUpper2, superTrendPrevUpper2) : superTrendUpper2
superTrendLower2 := marketTrend2 == -1 ? math.min(superTrendLower2, superTrendPrevLower2) : superTrendLower2
superTrendPrevUpper2 := superTrendUpper2
superTrendPrevLower2 := superTrendLower2

// Enhanced Visualization
// Plot the SuperTrend and Vegas Channel for visual analysis for both lengths.
plot(marketTrend1 == 1 ? superTrendUpper1 : na, "SuperTrend Upper 1", color=color.green, linewidth=2)
plot(marketTrend1 == -1 ? superTrendLower1 : na, "SuperTrend Lower 1", color=color.red, linewidth=2)

plot(marketTrend2 == 1 ? superTrendUpper2 : na, "SuperTrend Upper 2", color=color.rgb(31, 119, 130), linewidth=2)
plot(marketTrend2 == -1 ? superTrendLower2 : na, "SuperTrend Lower 2", color=color.rgb(120, 42, 26), linewidth=2)

// Detect trend direction changes and plot entry/exit signals for both lengths.
trendShiftToBullish1 = marketTrend1 == 1 and marketTrend1[1] == -1
trendShiftToBearish1 = marketTrend1 == -1 and marketTrend1[1] == 1

trendShiftToBullish2 = marketTrend2 == 1 and marketTrend2[1] == -1
trendShiftToBearish2 = marketTrend2 == -1 and marketTrend2[1] == 1

// Define conditions for entering long or short positions, and execute trades based on these conditions for both lengths.
enterLongCondition1 = marketTrend1 == 1
enterShortCondition1 = marketTrend1 == -1

enterLongCondition2 = marketTrend2 == 1
enterShortCondition2 = marketTrend2 == -1

// Entry conditions: Both conditions must be met for a trade to be executed.
enterLongCondition = enterLongCondition1 and enterLongCondition2 and not na(superTrendPrevUpper1[1]) and not na(superTrendPrevUpper2[1])
enterShortCondition = enterShortCondition1 and enterShortCondition2 and not na(superTrendPrevLower1[1]) and not na(superTrendPrevLower2[1])

// Variables to track entry times
var float longEntryTime = na
var float shortEntryTime = na

// Variables to track whether we have recently exited a trade to prevent re-entry in the same trend
var bool recentlyExitedLong = false
var bool recentlyExitedShort = false

// Check trade direction choice before executing trade entries.
if (enterLongCondition and (tradeDirectionChoice == "Long" or tradeDirectionChoice == "Both"))
    if (strategy.position_size < 0)
        strategy.close("Short Position")
    strategy.entry("Long Position", strategy.long)
    longEntryTime := time
    recentlyExitedLong := false
    recentlyExitedShort := false

if (enterShortCondition and (tradeDirectionChoice == "Short" or tradeDirectionChoice == "Both"))
    if (strategy.position_size > 0)
        strategy.close("Long Position")
    strategy.entry("Short Position", strategy.short)
    shortEntryTime := time
    recentlyExitedShort := false
    recentlyExitedLong := false

// Exit conditions: Either condition being met will trigger an exit.
exitLongCondition = marketTrend1 == -1 or marketTrend2 == -1
exitShortCondition = marketTrend1 == 1 or marketTrend2 == 1

// Close positions based on exit conditions or hold days.
if (useHoldDays and not na(longEntryTime) and (time >= longEntryTime + holdDays * 86400000) and strategy.position_size > 0)
    strategy.close("Long Position")
    longEntryTime := na
    recentlyExitedLong := true

if (useHoldDays and not na(shortEntryTime) and (time >= shortEntryTime + holdDays * 86400000) and strategy.position_size < 0)
    strategy.close("Short Position")
    shortEntryTime := na
    recentlyExitedShort := true

if (not useHoldDays and exitLongCondition and strategy.position_size > 0)
    strategy.close("Long Position")
    longEntryTime := na
    recentlyExitedLong := true

if (not useHoldDays and exitShortCondition and strategy.position_size < 0)
    strategy.close("Short Position")
    shortEntryTime := na
    recentlyExitedShort := true

// Reset recently exited flags on trend change to allow re-entry on a new trend
if (trendShiftToBullish1 or trendShiftToBullish2)
    recentlyExitedLong := false

if (trendShiftToBearish1 or trendShiftToBearish2)
    recentlyExitedShort := false

// Conditional Profit and Loss Management
if (TPSLCondition == "TP" or TPSLCondition == "Both") 
    // Apply take profit conditions
    strategy.exit("TakeProfit_Long", "Long Position", limit=close * (1 + takeProfitPerc / 100))
    strategy.exit("TakeProfit_Short", "Short Position", limit=close * (1 - takeProfitPerc / 100))

if (TPSLCondition == "SL" or TPSLCondition == "Both") 
    // Apply stop loss conditions
    strategy.exit("StopLoss_Long", "Long Position", stop=close * (1 - stopLossPerc / 100))
    strategy.exit("StopLoss_Short", "Short Position", stop=close * (1 + stopLossPerc / 100))

// Ensure that new entry signals can override the hold days condition
if (enterLongCondition and (tradeDirectionChoice == "Long" or tradeDirectionChoice == "Both"))
    if (strategy.position_size < 0)
        strategy.close("Short Position")
    strategy.entry("Long Position", strategy.long)
    longEntryTime := time
    recentlyExitedLong := false
    recentlyExitedShort := false

if (enterShortCondition and (tradeDirectionChoice == "Short" or tradeDirectionChoice == "Both"))
    if (strategy.position_size > 0)
        strategy.close("Long Position")
    strategy.entry("Short Position", strategy.short)
    shortEntryTime := time
    recentlyExitedShort := false
    recentlyExitedLong := false
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