Strategie Macd Vwap
Strategie basierend auf den Indikatoren MACD und VWAP. Geht long, wenn MACD > Signal und Preis > VWAP. Geht short, wenn MACD < Signal und Preis < VWAP.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 109%. Sie funktioniert am besten auf dem Kryptomarkt.
Der MACD-Momentum wird relativ zur VWAP-Linie gemessen. Long-Trades suchen nach MACD-Stärke unterhalb des VWAP, während Shorts oberhalb davon entstehen.
Ideal für Intraday-Momentum-Trader, die volumengewichtete Referenzen verwenden. Ein prozentualer Stop steuert das Risiko.
Details
- Einstiegskriterien:
- Long:
MACD > Signal && Close > VWAP - Short:
MACD < Signal && Close < VWAP
- Long:
- Long/Short: Beide
- Ausstiegskriterien: MACD-Kreuzung in die entgegengesetzte Richtung
- Stops: Prozentbasiert mit
StopLossPercent - Standardwerte:
MacdFast= 12MacdSlow= 26MacdSignal= 9StopLossPercent= 2CandleType= TimeSpan.FromMinutes(5).TimeFrame() Der Markt handelt rund um die Uhr, daher beginnt der Sitzungs-VWAP mit jedem UTC-Tag neu und gewichtet den typischen Preis jeder Kerze mit ihrem Volumen. Ein Long schließt, wenn MACD die Signallinie nach unten kreuzt, ein Short, wenn er sie nach oben kreuzt. Ein Einstiegssignal gegen eine offene Position dreht sie.
- Filter:
- Kategorie: Mean Reversion
- Richtung: Beide
- Indikatoren: MACD, VWAP
- Stops: Ja
- Komplexität: Mittel
- Zeitrahmen: Mittelfristig
- Saisonalität: Nein
- Neuronale Netze: Nein
- Divergenz: Nein
- Risikolevel: Mittel
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()