イチモク・クラウドを用いたクラウドベースのトレンド戦略
作者: リン・ハーンチャオチャン,日付: 2024-02-22 13:38:50タグ:
概要
この戦略は,伝統的な移動平均戦略の改善であり,イチモク・クラウド指標を使用してバリーッシュ・ベアッシュバイアスを決定するのに役立ちます. 価格ブレイクと移動平均クロスオーバーを通じて潜在的なトレンド逆転点を特定し,低リスクの取引機会を把握することができます.
戦略の論理
イチモク・クラウドは,テンカン線,キジュン線,チコウ線,センクー線から構成される.テンカン線がキジュン線を越えたり下を突破したときに,ゴールデンクロスとデッドクロス信号が生成される.クラウドの価格ブレイクはエントリー信号として機能し,クラウドを形成するキジュン線とセンクー線はストップ損失ラインとして機能する.
ロングエントリーシグナルは,テンカン線がキジュン線を横切って価格がクラウドの上位を突破すると起動する.ロングエントリー後,価格がクラウドの下位を突破するとポジションは停止される.ショートエントリーとストップロスのルールは類似している.
利点
伝統的な移動平均戦略と比較して,この戦略には以下の利点があります.
- イチモク・クラウドは,誤ったブレイクシグナルを避けるために価格アクションを組み合わせます.
- クラウドはリスク制御のための適応型ストップ損失として機能します
- パラメータは,異なる時間枠と市場体制に調整できます
リスク分析
この戦略の主なリスクは以下のとおりです.
- トレンド逆転リスクです 価格がブレイク・エントリー・シグナル後に逆転する可能性があります
- 短期の引き下げは 誤った信号を生む可能性があります
- パラメータ最適化リスク 異なるパラメータは異なる時間枠に適しています
解決策:
- 調整可能なストップ損失と部分的な利益取得を適用する.
- 騒音を避けるため,より高い時間枠の文脈参照
- バックテストによる堅牢なパラメータ最適化
増進 の 機会
この戦略は次の方法でさらに改善できます.
- breakout の信頼性を決定するために機械学習を組み込む
- 自動で停止距離を調整する適応停止を導入する
- 最適な組み合わせを見つけるためのパラメータ最適化
結論
結論として,これは全体的に信頼性の高い低リスクトレンドフォロー戦略です.移動平均値の上にIchimoku Cloudを組み込むことで,いくつかの誤った信号をフィルターするのに役立ちます.Cloudストップ損失はリスク管理の観点からも堅牢になります.さらなる最適化は,より一貫したアルファ生成につながる可能性があります.
/*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")
もっと
- 2つの移動平均のクロスオーバー MACD量的な戦略
- 2つの移動平均圧力反発戦略
- 4つのWMAトレンド追跡戦略
- ナダラヤ・ワトソン回帰とATRチャンネルに基づく戦略の傾向
- 移動平均のクロスオーバーに基づくトレンド追跡戦略
- EMAのクロスオーバーに基づいた戦略をフォローする傾向
- ログ イチモク 交差品種戦略
- RVI と EMA に 基づく ビットコイン トレーディング 戦略
- 双方向逆転量的な取引戦略
- ボリンジャー・バンドの統合戦略
- 移動平均値に基づくトレンド逆転戦略
- トレンド フォローする戦略 レンコ移動平均値に基づく
- 3つのRSI移動平均帯の戦略
- 月相に基づく二方向取引戦略
- EMAのクロスオーバーとボリンジャー・バンドによる逆転取引戦略
- アダプティブ・ムービング・ストップ・ライン・トレーディング・戦略
- 逆転パターンの戦略と組み合わせた再帰動動向傾向平均
- 多期移動平均値とEMAベースのトレンド戦略
- 複数の時間枠RSIとストカスティクス戦略
- 強化された移動平均のクロスオーバー・サックウラス取引戦略