一目均衡表に基づく雲の浮き沈みのトレンド戦略


作成日: 2024-02-22 13:38:50 最終変更日: 2024-02-22 13:38:50
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一目均衡表に基づく雲の浮き沈みのトレンド戦略

概要

この戦略は,伝統的な均線取引戦略の改良に基づいており,一見均衡表の指標を使用して多空方向を判断します.この戦略は,価格の突破と均線交差信号を組み合わせて,潜在的なトレンドの逆転点を認識し,低リスクの取引機会をキャプチャします.

戦略原則

一目均衡表には,変換線,基準線,遅延線,先行線が含まれている.変換線が基準線を突破または下を突破すると金叉死叉信号が生じる.価格が,入場信号として雲内の暴落傾向を突破し,基準線と先行線で構成される雲内のストップ損失線として.

具体的には,多頭入場信号は,変換線上において基准線を突破し,雲内の上限線を突破する。多頭後,価格が雲内の下限線を突破すると,止損退出する。空頭入場と止損規則は類似する。

優位分析

伝統的な移動平均戦略と比較して,この戦略は以下の利点があります.

  1. 一見均衡表は,価格運動の動向判断と組み合わせて,偽突破から誤った信号を避ける
  2. クラウド内のモバイル・ストップで,リスクの管理を可能にする
  3. パラメータの調整により,異なる周期および市場環境に対応できます.

リスク分析

この戦略には以下のリスクがあります.

  1. トレンド反転リスク. 突破入場後,価格が再び震動に陥り,利益を得ることができない.
  2. 突破の偽信号のリスク. 価格の短期的な調整補償が突破信号として誤判される可能性がある.
  3. パラメータ最適化リスク。異なるパラメータは異なる周期に適用され,テスト調整が必要。

対応方法:

  1. 移動停止と部分停止を使用する.
  2. 低周波の音が聞こえないようにする.
  3. 多群参数回測 選択組合せ パラメータ最適化

最適化の方向

この戦略は,以下の点で最適化できます.

  1. 機械学習による真偽信号の判断力を高めること
  2. 適応移動止損を使用して止損距離を自動的に調整する
  3. パラメータを自律的に最適化します.

要約する

この戦略は,全体として,信頼性の高い低リスクのトレンド追跡戦略である.単一の平均線戦略と比較して,一目的な均衡表指標判断を組み合わせて,部分的なノイズ信号をフィルターすることができる.クラウド内の移動止損として,リスク承受能力が強い.さらなる最適化により,より安定した余剰利益が得られる見込みである.

ストラテジーソースコード 
/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-31 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5

//  -----------------------------------------------------------------------------
//  Copyright © 2024 Skyrex, LLC. All rights reserved.
//  -----------------------------------------------------------------------------

//  Version: v2
//  Release:  Jan 19, 2024

strategy(title = "Advanced Ichimoku Clouds Strategy Long and Short", 
         shorttitle = "Ichimoku Strategy Long and Short", 
         overlay = true, 
         format = format.inherit, 
         pyramiding = 1, 
         calc_on_order_fills = false, 
         calc_on_every_tick = true, 
         default_qty_type = strategy.percent_of_equity, 
         default_qty_value = 100, 
         initial_capital = 10000, 
         currency = currency.NONE,  
         commission_type = strategy.commission.percent, 
         commission_value = 0)

// Trading Period Settings
lookBackPeriodStart = input(title="Trade Start Date/Time", defval = timestamp('2023-01-01T00:00:00'), group = "Trading Period")
lookBackPeriodStop = input(title="Trade Stop Date/Time", defval = timestamp('2025-01-01T00:00:00'), group = "Trading Period")

// Trading Mode
tradingMode = input.string("Long", "Trading Mode", options = ["Long", "Short"], group = "Position side")

// Long Mode Signal Options
entrySignalOptionsLong = input.string("Bullish All", "Select Entry Signal (Long)", options = ["None", "Bullish Strong", "Bullish Neutral", "Bullish Weak", "Bullish Strong and Neutral", "Bullish Neutral and Weak", "Bullish Strong and Weak", "Bullish All"], group = "Long Mode Signals - set up if Trading Mode: Long")
exitSignalOptionsLong = input.string("Bearish Weak", "Select Exit Signal (Long)", options = ["None", "Bearish Strong", "Bearish Neutral", "Bearish Weak", "Bearish Strong and Neutral", "Bearish Neutral and Weak", "Bearish Strong and Weak", "Bearish All"], group = "Long Mode Signals - set up if Trading Mode: Long")

// Short Mode Signal Options
entrySignalOptionsShort = input.string("None", "Select Entry Signal (Short)", options = ["None", "Bearish Strong", "Bearish Neutral", "Bearish Weak", "Bearish Strong and Neutral", "Bearish Neutral and Weak", "Bearish Strong and Weak", "Bearish All"], group = "Short Mode Signals - set up if Trading Mode: Short")
exitSignalOptionsShort = input.string("None", "Select Exit Signal (Short)", options = ["None", "Bullish Strong", "Bullish Neutral", "Bullish Weak", "Bullish Strong and Neutral", "Bullish Neutral and Weak", "Bullish Strong and Weak", "Bullish All"], group = "Short Mode Signals - set up if Trading Mode: Short")

// Risk Management Settings
takeProfitPct = input.float(7, "Take Profit, % (0 - disabled)", minval = 0, step = 0.1, group = "Risk Management")
stopLossPct = input.float(3.5, "Stop Loss, % (0 - disabled)", minval = 0, step = 0.1, group = "Risk Management")

// Indicator Settings
tenkanPeriods = input.int(9, "Tenkan", minval=1, group="Indicator Settings")
kijunPeriods = input.int(26, "Kijun", minval=1, group="Indicator Settings")
chikouPeriods = input.int(52, "Chikou", minval=1, group="Indicator Settings")
displacement = input.int(26, "Offset", minval=1, group="Indicator Settings")

// Display Settings
showTenkan = input(false, "Show Tenkan Line", group = "Display Settings")
showKijun = input(false, "Show Kijun Line", group = "Display Settings")
showSenkouA = input(true, "Show Senkou A Line", group = "Display Settings")
showSenkouB = input(true, "Show Senkou B Line", group = "Display Settings")
showChikou = input(false, "Show Chikou Line", group = "Display Settings")

// Function to convert percentage to price points based on entry price
pctToPoints(pct) => 
    strategy.position_avg_price * pct / 100

// Colors and Transparency Level
transparencyLevel = 90
colorGreen = color.new(#36a336, 23)
colorRed = color.new(#d82727, 47)
colorTenkanViolet = color.new(#9400D3, 0)
colorKijun = color.new(#fdd8a0, 0)
colorLime = color.new(#006400, 0)
colorMaroon = color.new(#8b0000, 0)
colorGreenTransparent = color.new(colorGreen, transparencyLevel)
colorRedTransparent = color.new(colorRed, transparencyLevel)

// Ichimoku Calculations
donchian(len) => math.avg(ta.lowest(len), ta.highest(len))
tenkan = donchian(tenkanPeriods)
kijun = donchian(kijunPeriods)
senkouA = math.avg(tenkan, kijun)
senkouB = donchian(chikouPeriods)
displacedSenkouA = senkouA[displacement - 1]
displacedSenkouB = senkouB[displacement - 1]

// Plot Ichimoku Lines
plot(showTenkan ? tenkan : na, color=colorTenkanViolet, title = "Tenkan", linewidth=2)
plot(showKijun ? kijun : na, color=colorKijun, title = "Kijun", linewidth=2)
plot(showChikou ? close : na, offset=-displacement, color = colorLime, title = "Chikou", linewidth=1)
p1 = plot(showSenkouA ? senkouA : na, offset=displacement - 1, color=colorGreen, title = "Senkou A", linewidth=2)
p2 = plot(showSenkouB ? senkouB : na, offset=displacement - 1, color=colorRed, title = "Senkou B", linewidth=2)
fill(p1, p2, color=senkouA > senkouB ? colorGreenTransparent : colorRedTransparent)

// Signal Calculations
bullishSignal = ta.crossover(tenkan, kijun)
bearishSignal = ta.crossunder(tenkan, kijun)
bullishSignalValues = bullishSignal ? tenkan : na
bearishSignalValues = bearishSignal ? tenkan : na

strongBullishSignal = bullishSignalValues > displacedSenkouA and bullishSignalValues > displacedSenkouB
neutralBullishSignal = ((bullishSignalValues > displacedSenkouA and bullishSignalValues < displacedSenkouB) or (bullishSignalValues < displacedSenkouA and bullishSignalValues > displacedSenkouB))
weakBullishSignal = bullishSignalValues < displacedSenkouA and bullishSignalValues < displacedSenkouB

strongBearishSignal = bearishSignalValues < displacedSenkouA and bearishSignalValues < displacedSenkouB
neutralBearishSignal = ((bearishSignalValues > displacedSenkouA and bearishSignalValues < displacedSenkouB) or (bearishSignalValues < displacedSenkouA and bearishSignalValues > displacedSenkouB))
weakBearishSignal = bearishSignalValues > displacedSenkouA and bearishSignalValues > displacedSenkouB

// Functions to determine entry and exit conditions for Long and Short
isEntrySignalLong() =>
    entryCondition = false
    if entrySignalOptionsLong == "None"
        entryCondition := false
    else if entrySignalOptionsLong == "Bullish Strong"
        entryCondition := strongBullishSignal
    else if entrySignalOptionsLong == "Bullish Neutral"
        entryCondition := neutralBullishSignal
    else if entrySignalOptionsLong == "Bullish Weak"
        entryCondition := weakBullishSignal
    else if entrySignalOptionsLong == "Bullish Strong and Neutral"
        entryCondition := strongBullishSignal or neutralBullishSignal
    else if entrySignalOptionsLong == "Bullish Neutral and Weak"
        entryCondition := neutralBullishSignal or weakBullishSignal
    else if entrySignalOptionsLong == "Bullish Strong and Weak"
        entryCondition := strongBullishSignal or weakBullishSignal
    else if entrySignalOptionsLong == "Bullish All"
        entryCondition := strongBullishSignal or neutralBullishSignal or weakBullishSignal
    entryCondition

isExitSignalLong() =>
    exitCondition = false
    if exitSignalOptionsLong == "None"
        exitCondition := false
    else if exitSignalOptionsLong == "Bearish Strong"
        exitCondition := strongBearishSignal
    else if exitSignalOptionsLong == "Bearish Neutral"
        exitCondition := neutralBearishSignal
    else if exitSignalOptionsLong == "Bearish Weak"
        exitCondition := weakBearishSignal
    else if exitSignalOptionsLong == "Bearish Strong and Neutral"
        exitCondition := strongBearishSignal or neutralBearishSignal
    else if exitSignalOptionsLong == "Bearish Neutral and Weak"
        exitCondition := neutralBearishSignal or weakBearishSignal
    else if exitSignalOptionsLong == "Bearish Strong and Weak"
        exitCondition := strongBearishSignal or weakBearishSignal
    else if exitSignalOptionsLong == "Bearish All"
        exitCondition := strongBearishSignal or neutralBearishSignal or weakBearishSignal
    exitCondition

isEntrySignalShort() =>
    entryCondition = false
    if entrySignalOptionsShort == "None"
        entryCondition := false
    else if entrySignalOptionsShort == "Bearish Strong"
        entryCondition := strongBearishSignal
    else if entrySignalOptionsShort == "Bearish Neutral"
        entryCondition := neutralBearishSignal
    else if entrySignalOptionsShort == "Bearish Weak"
        entryCondition := weakBearishSignal
    else if entrySignalOptionsShort == "Bearish Strong and Neutral"
        entryCondition := strongBearishSignal or neutralBearishSignal
    else if entrySignalOptionsShort == "Bearish Neutral and Weak"
        entryCondition := neutralBearishSignal or weakBearishSignal
    else if entrySignalOptionsShort == "Bearish Strong and Weak"
        entryCondition := strongBearishSignal or weakBearishSignal
    else if entrySignalOptionsShort == "Bearish All"
        entryCondition := strongBearishSignal or neutralBearishSignal or weakBearishSignal
    entryCondition

isExitSignalShort() =>
    exitCondition = false
    if exitSignalOptionsShort == "None"
        exitCondition := false
    else if exitSignalOptionsShort == "Bullish Strong"
        exitCondition := strongBullishSignal
    else if exitSignalOptionsShort == "Bullish Neutral"
        exitCondition := neutralBullishSignal
    else if exitSignalOptionsShort == "Bullish Weak"
        exitCondition := weakBullishSignal
    else if exitSignalOptionsShort == "Bullish Strong and Neutral"
        exitCondition := strongBullishSignal or neutralBullishSignal
    else if exitSignalOptionsShort == "Bullish Neutral and Weak"
        exitCondition := neutralBullishSignal or weakBullishSignal
    else if exitSignalOptionsShort == "Bullish Strong and Weak"
        exitCondition := strongBullishSignal or weakBullishSignal
    else if exitSignalOptionsShort == "Bullish All"
        exitCondition := strongBullishSignal or neutralBullishSignal or weakBullishSignal
    exitCondition

// Strategy logic for entries and exits
if true
    if tradingMode == "Long"
        takeProfitLevelLong = strategy.position_avg_price * (1 + takeProfitPct / 100)
        stopLossLevelLong = strategy.position_avg_price * (1 - stopLossPct / 100)

        if isEntrySignalLong()
            strategy.entry("Enter Long", strategy.long)
        if (takeProfitPct > 0 and close >= takeProfitLevelLong) or (stopLossPct > 0 and close <= stopLossLevelLong) or (exitSignalOptionsLong != "None" and isExitSignalLong())
            strategy.close("Enter Long", comment="Exit Long")

    else if tradingMode == "Short"
        takeProfitLevelShort = strategy.position_avg_price * (1 - takeProfitPct / 100)
        stopLossLevelShort = strategy.position_avg_price * (1 + stopLossPct / 100)

        if isEntrySignalShort()
            strategy.entry("Enter Short", strategy.short)
        if (takeProfitPct > 0 and close <= takeProfitLevelShort) or (stopLossPct > 0 and close >= stopLossLevelShort) or (exitSignalOptionsShort != "None" and isExitSignalShort())
            strategy.close("Enter Short", comment="Exit Short")
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