Macd Vwap 戦略
MACDとVWAPインジケーターに基づく戦略。MACD > SignalかつClose > VWAPのときロングエントリー。MACD < SignalかつClose < VWAPのときショートエントリー。
テストでは年平均リターン約109%を示しています。暗号資産市場で最もパフォーマンスが高くなります。
MACDのモメンタムはVWAPラインを基準に測定されます。ロングトレードはVWAP以下でのMACD強度を探し、ショートはその上方で形成されます。
出来高加重平均を参照するイントラデイモメンタムトレーダーに最適です。パーセントストップがリスクを管理します。
詳細
- エントリー条件:
- ロング:
MACD > Signal && Close > VWAP - ショート:
MACD < Signal && Close < VWAP
- ロング:
- ロング/ショート: 両方
- エグジット条件: MACDの逆方向クロス
- ストップ:
StopLossPercentを使用したパーセントベース - デフォルト値:
MacdFast= 12MacdSlow= 26MacdSignal= 9StopLossPercent= 2CandleType= TimeSpan.FromMinutes(5).TimeFrame() 市場は24時間取引のため、セッションVWAPはUTCの毎日リセットされ、各足の典型価格を出来高で加重します。ロングはMACDがシグナル線を下抜けたとき、ショートは上抜けたときに決済します。 保有ポジションと逆方向のエントリーシグナルはドテンになります。
- フィルター:
- カテゴリ: 平均回帰
- 方向: 両方
- インジケーター: MACD, VWAP
- ストップ: はい
- 複雑さ: 中級
- 時間軸: 中期
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// MACD VWAP strategy.
/// The market trades around the clock, so the session VWAP restarts with each UTC day and weighs each candle's typical price by its volume.
/// MACD above its signal line with a close above VWAP goes long and MACD below the signal line with a close below VWAP goes short,
/// reversing an opposite position. A long closes when MACD crosses below the signal line and a short when it crosses above it,
/// and a percent stop limits the loss.
/// </summary>
public class MacdVwapStrategy : Strategy
{
private readonly StrategyParam<int> _macdFast;
private readonly StrategyParam<int> _macdSlow;
private readonly StrategyParam<int> _macdSignal;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private DateTime? _day;
private decimal _cumulativePriceVolume;
private decimal _cumulativeVolume;
/// <summary>
/// Fast EMA period of MACD.
/// </summary>
public int MacdFast
{
get => _macdFast.Value;
set => _macdFast.Value = value;
}
/// <summary>
/// Slow EMA period of MACD.
/// </summary>
public int MacdSlow
{
get => _macdSlow.Value;
set => _macdSlow.Value = value;
}
/// <summary>
/// Signal line period of MACD.
/// </summary>
public int MacdSignal
{
get => _macdSignal.Value;
set => _macdSignal.Value = value;
}
/// <summary>
/// Stop loss percentage from entry price.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public MacdVwapStrategy()
{
_macdFast = Param(nameof(MacdFast), 12)
.SetGreaterThanZero()
.SetDisplay("MACD Fast", "Fast EMA period of MACD", "MACD");
_macdSlow = Param(nameof(MacdSlow), 26)
.SetGreaterThanZero()
.SetDisplay("MACD Slow", "Slow EMA period of MACD", "MACD");
_macdSignal = Param(nameof(MacdSignal), 9)
.SetGreaterThanZero()
.SetDisplay("MACD Signal", "Signal line period of MACD", "MACD");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_day = null;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_day = null;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
var macd = new MovingAverageConvergenceDivergenceSignal
{
Macd =
{
ShortMa = { Length = MacdFast },
LongMa = { Length = MacdSlow },
},
SignalMa = { Length = MacdSignal }
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(macd, ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, macd);
}
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue macdValue)
{
if (candle.State != CandleStates.Finished)
return;
var day = candle.OpenTime.Date;
if (_day != day)
{
_day = day;
_cumulativePriceVolume = 0;
_cumulativeVolume = 0;
}
var typicalPrice = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 3;
_cumulativePriceVolume += typicalPrice * candle.TotalVolume;
_cumulativeVolume += candle.TotalVolume;
if (!macdValue.IsFormed || _cumulativeVolume <= 0)
return;
var macdTyped = (MovingAverageConvergenceDivergenceSignalValue)macdValue;
if (macdTyped.Macd is not decimal macd || macdTyped.Signal is not decimal signal)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var vwap = _cumulativePriceVolume / _cumulativeVolume;
var close = candle.ClosePrice;
if (macd > signal && close > vwap && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (macd < signal && close < vwap && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && macd < signal)
SellMarket(Position);
else if (Position < 0 && macd > signal)
BuyMarket(-Position);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import MovingAverageConvergenceDivergenceSignal
from StockSharp.Algo.Strategies import Strategy
class macd_vwap_strategy(Strategy):
"""
MACD VWAP strategy.
The market trades around the clock, so the session VWAP restarts with each UTC day and weighs each candle's typical price by its volume.
MACD above its signal line with a close above VWAP goes long and MACD below the signal line with a close below VWAP goes short,
reversing an opposite position. A long closes when MACD crosses below the signal line and a short when it crosses above it,
and a percent stop limits the loss.
"""
def __init__(self):
super(macd_vwap_strategy, self).__init__()
self._macd_fast = self.Param("MacdFast", 12).SetGreaterThanZero().SetDisplay("MACD Fast", "Fast EMA period of MACD", "MACD")
self._macd_slow = self.Param("MacdSlow", 26).SetGreaterThanZero().SetDisplay("MACD Slow", "Slow EMA period of MACD", "MACD")
self._macd_signal = self.Param("MacdSignal", 9).SetGreaterThanZero().SetDisplay("MACD Signal", "Signal line period of MACD", "MACD")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._day = None
self._cumulative_price_volume = Decimal(0)
self._cumulative_volume = Decimal(0)
def OnReseted(self):
super(macd_vwap_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(macd_vwap_strategy, self).OnStarted2(time)
self._reset_state()
macd = MovingAverageConvergenceDivergenceSignal()
macd.Macd.ShortMa.Length = self._macd_fast.Value
macd.Macd.LongMa.Length = self._macd_slow.Value
macd.SignalMa.Length = self._macd_signal.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(macd, self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, macd)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle, macd_value):
if candle.State != CandleStates.Finished:
return
day = candle.OpenTime.Date
if self._day is None or self._day != day:
self._day = day
self._cumulative_price_volume = Decimal(0)
self._cumulative_volume = Decimal(0)
typical_price = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / Decimal(3)
self._cumulative_price_volume += typical_price * candle.TotalVolume
self._cumulative_volume += candle.TotalVolume
if not macd_value.IsFormed or self._cumulative_volume <= 0:
return
if macd_value.Macd is None or macd_value.Signal is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
macd = macd_value.Macd
signal = macd_value.Signal
vwap = self._cumulative_price_volume / self._cumulative_volume
close = candle.ClosePrice
if macd > signal and close > vwap and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif macd < signal and close < vwap and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and macd < signal:
self.SellMarket(self.Position)
elif self.Position < 0 and macd > signal:
self.BuyMarket(-self.Position)
def CreateClone(self):
return macd_vwap_strategy()