Delta Neutral Arbitrage-Strategie
Diese Arbitrage-Strategie handelt den Spread zwischen zwei korrelierten Assets und hält die kombinierte Position nahe delta-neutral. Durch das Ausbalancieren einer Long-Position in einem Asset gegen eine Short in einem anderen versucht sie, von der Mean Reversion im Spread zu profitieren anstatt von der Marktrichtung.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 43%. Er funktioniert am besten auf dem Aktienmarkt.
Ein langer Spread wird eingegangen, wenn der Z-Score der Preisdifferenz unter -EntryThreshold fällt. Das erste Asset wird gekauft und das zweite in gleicher Größe verkauft. Ein kurzer Spread macht das Gegenteil, wenn der Z-Score über den positiven Schwellenwert steigt. Der Trade wird geschlossen, sobald der Spread zum gleitenden Durchschnitt zurückkehrt.
Delta-neutrales Trading ist bei quantitativen Tradern beliebt, die ein Engagement mit geringer Volatilität suchen. Obwohl abgesichert, wird dennoch ein Stop-Loss-Schutz angewendet, um gegen extreme Divergenz zwischen den Assets zu schützen.
Details
- Einstiegskriterien:
- Long: Spread Z-Score < -EntryThreshold
- Short: Spread Z-Score > EntryThreshold
- Long/Short: Beide Seiten.
- Ausstiegskriterien:
- Long: Ausstieg wenn Spread wieder über den Mittelwert kreuzt
- Short: Ausstieg wenn Spread wieder unter den Mittelwert kreuzt
- Stops: Ja, prozentualer Stop-Loss auf den Spread-Wert.
- Standardwerte:
LookbackPeriod= 20EntryThreshold= 2StopLossPercent= 2CandleType= TimeSpan.FromMinutes(5)Asset2Security— erforderlich, ohne StandardwertAsset2Portfolio— das Portfolio der Strategie, wenn leer Der Spread ist der Schlusskurs des Security der Strategie minus der Schlusskurs von Asset2Security auf Kerzen derselben Zeit; sein Z-Score nutzt Mittelwert und Standardabweichung der letzten LookbackPeriod Spreads. Jedes Bein handelt Volume, ein Gegensignal dreht beide Beine. Der Stop schließt beide Beine, sobald sich der Spread um StopLossPercent seines Einstiegswerts gegen das Paar bewegt, geprüft bei Kerzenschluss; 0 schaltet ihn ab.
- Filter:
- Kategorie: Arbitrage
- Richtung: Beide
- Indikatoren: Spread statistics
- Stops: Ja
- Komplexität: Mittel
- Zeitrahmen: Intraday
- Saisonalität: Nein
- Neuronale Netze: Nein
- Divergenz: Ja
- Risikolevel: Mittel
using System;
using System.Collections.Generic;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Delta neutral arbitrage strategy.
/// The spread is the first instrument's close minus Asset2Security's on candles of the same time, and its z-score is measured against the
/// mean and standard deviation of the last LookbackPeriod spreads. A z-score below minus EntryThreshold buys the first instrument and sells
/// Asset2Security in equal size, one above EntryThreshold does the opposite, reversing an opposite pair. Both legs close once the spread
/// crosses back over its mean, or once it moves StopLossPercent of its entry value against the pair.
/// </summary>
public class DeltaNeutralArbitrageStrategy : Strategy
{
private readonly StrategyParam<Security> _asset2Security;
private readonly StrategyParam<Portfolio> _asset2Portfolio;
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<decimal> _entryThreshold;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly Dictionary<DateTime, decimal> _firstCloses = [];
private readonly Dictionary<DateTime, decimal> _secondCloses = [];
private readonly Queue<decimal> _spreads = [];
// 1 while long the spread, -1 while short it, 0 while flat.
private int _side;
private decimal _entrySpread;
/// <summary>
/// Second asset of the pair.
/// </summary>
public Security Asset2Security
{
get => _asset2Security.Value;
set => _asset2Security.Value = value;
}
/// <summary>
/// Portfolio for the second asset; the strategy's own portfolio when empty.
/// </summary>
public Portfolio Asset2Portfolio
{
get => _asset2Portfolio.Value;
set => _asset2Portfolio.Value = value;
}
/// <summary>
/// Number of spreads the mean and standard deviation are measured over.
/// </summary>
public int LookbackPeriod
{
get => _lookbackPeriod.Value;
set => _lookbackPeriod.Value = value;
}
/// <summary>
/// Z-score distance from zero that opens a pair.
/// </summary>
public decimal EntryThreshold
{
get => _entryThreshold.Value;
set => _entryThreshold.Value = value;
}
/// <summary>
/// Adverse spread move, in percent of the entry spread, that closes the pair.
/// </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 DeltaNeutralArbitrageStrategy()
{
_asset2Security = Param<Security>(nameof(Asset2Security))
.SetDisplay("Asset 2", "Second asset of the pair", "Securities")
.SetRequired();
_asset2Portfolio = Param<Portfolio>(nameof(Asset2Portfolio))
.SetDisplay("Portfolio 2", "Portfolio for the second asset", "Portfolios");
_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Lookback Period", "Spreads the mean and standard deviation are measured over", "Parameters");
_entryThreshold = Param(nameof(EntryThreshold), 2m)
.SetGreaterThanZero()
.SetDisplay("Entry Threshold", "Z-score distance from zero that opens a pair", "Parameters");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop-loss %", "Adverse spread move in percent of the entry spread", "Risk Management");
_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), (Asset2Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
ResetState();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (Asset2Security == null)
throw new InvalidOperationException("Asset2Security is not specified.");
ResetState();
var firstSubscription = SubscribeCandles(CandleType);
firstSubscription.Bind(candle => ProcessCandle(candle, _firstCloses)).Start();
var secondSubscription = SubscribeCandles(CandleType, security: Asset2Security);
secondSubscription.Bind(candle => ProcessCandle(candle, _secondCloses)).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, firstSubscription);
DrawOwnTrades(area);
}
}
private void ResetState()
{
_firstCloses.Clear();
_secondCloses.Clear();
_spreads.Clear();
_side = 0;
_entrySpread = 0;
}
private void ProcessCandle(ICandleMessage candle, Dictionary<DateTime, decimal> closes)
{
if (candle.State != CandleStates.Finished)
return;
closes[candle.OpenTime] = candle.ClosePrice;
// The spread needs both instruments' candles of the same time, whichever arrives last.
if (!_firstCloses.TryGetValue(candle.OpenTime, out var first) || !_secondCloses.TryGetValue(candle.OpenTime, out var second))
return;
foreach (var stale in _firstCloses.Keys.Where(t => t <= candle.OpenTime).ToArray())
_firstCloses.Remove(stale);
foreach (var stale in _secondCloses.Keys.Where(t => t <= candle.OpenTime).ToArray())
_secondCloses.Remove(stale);
var spread = first - second;
_spreads.Enqueue(spread);
if (_spreads.Count > LookbackPeriod)
_spreads.Dequeue();
if (_spreads.Count < LookbackPeriod)
return;
var mean = _spreads.Average();
var deviation = (decimal)Math.Sqrt((double)_spreads.Average(s => (s - mean) * (s - mean)));
if (deviation == 0)
return;
var zScore = (spread - mean) / deviation;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var stopDistance = Math.Abs(_entrySpread) * StopLossPercent / 100;
if (zScore < -EntryThreshold && _side <= 0)
{
MoveLegs(1);
_entrySpread = spread;
}
else if (zScore > EntryThreshold && _side >= 0)
{
MoveLegs(-1);
_entrySpread = spread;
}
else if (_side > 0 && (spread >= mean || (StopLossPercent > 0 && spread <= _entrySpread - stopDistance)))
{
MoveLegs(0);
}
else if (_side < 0 && (spread <= mean || (StopLossPercent > 0 && spread >= _entrySpread + stopDistance)))
{
MoveLegs(0);
}
}
private void MoveLegs(int side)
{
_side = side;
// Long the spread holds the first instrument and is short the second, each by Volume.
var firstChange = side * Volume - Position;
if (firstChange > 0)
BuyMarket(firstChange);
else if (firstChange < 0)
SellMarket(-firstChange);
var portfolio = Asset2Portfolio ?? Portfolio;
var secondChange = -side * Volume - (GetPositionValue(Asset2Security, portfolio) ?? 0m);
if (secondChange != 0)
{
RegisterOrder(new Order
{
Security = Asset2Security,
Portfolio = portfolio,
Side = secondChange > 0 ? Sides.Buy : Sides.Sell,
Volume = Math.Abs(secondChange),
Type = OrderTypes.Market,
});
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal, Math
from StockSharp.Messages import DataType, CandleStates, Sides, OrderTypes
from StockSharp.BusinessEntities import Security, Portfolio, Order
from StockSharp.Algo.Strategies import Strategy
class delta_neutral_arbitrage_strategy(Strategy):
"""
Delta neutral arbitrage strategy.
The spread is the first instrument's close minus Asset2Security's on candles of the same time, and its z-score is measured against the
mean and standard deviation of the last LookbackPeriod spreads. A z-score below minus EntryThreshold buys the first instrument and sells
Asset2Security in equal size, one above EntryThreshold does the opposite, reversing an opposite pair. Both legs close once the spread
crosses back over its mean, or once it moves StopLossPercent of its entry value against the pair.
"""
def __init__(self):
super(delta_neutral_arbitrage_strategy, self).__init__()
self._asset2_security = self.Param[Security]("Asset2Security", None).SetDisplay("Asset 2", "Second asset of the pair", "Securities").SetRequired()
self._asset2_portfolio = self.Param[Portfolio]("Asset2Portfolio", None).SetDisplay("Portfolio 2", "Portfolio for the second asset", "Portfolios")
self._lookback_period = self.Param("LookbackPeriod", 20).SetGreaterThanZero().SetDisplay("Lookback Period", "Spreads the mean and standard deviation are measured over", "Parameters")
self._entry_threshold = self.Param("EntryThreshold", 2.0).SetGreaterThanZero().SetDisplay("Entry Threshold", "Z-score distance from zero that opens a pair", "Parameters")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop-loss %", "Adverse spread move in percent of the entry spread", "Risk Management")
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
@property
def asset2_security(self):
return self._asset2_security.Value
@asset2_security.setter
def asset2_security(self, value):
self._asset2_security.Value = value
def _reset_state(self):
self._first_closes = {}
self._second_closes = {}
self._spreads = []
# 1 while long the spread, -1 while short it, 0 while flat.
self._side = 0
self._entry_spread = Decimal(0)
def GetWorkingSecurities(self):
return [(self.Security, self.candle_type), (self.asset2_security, self.candle_type)]
def OnReseted(self):
super(delta_neutral_arbitrage_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(delta_neutral_arbitrage_strategy, self).OnStarted2(time)
if self.asset2_security is None:
raise Exception("Asset2Security is not specified.")
self._reset_state()
first_subscription = self.SubscribeCandles(self.candle_type)
first_subscription.Bind(self._process_first_candle).Start()
second_subscription = self.SubscribeCandles(self.candle_type, security=self.asset2_security)
second_subscription.Bind(self._process_second_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, first_subscription)
self.DrawOwnTrades(area)
def _process_first_candle(self, candle):
self._process_candle(candle, self._first_closes)
def _process_second_candle(self, candle):
self._process_candle(candle, self._second_closes)
def _process_candle(self, candle, closes):
if candle.State != CandleStates.Finished:
return
time = candle.OpenTime
closes[time] = candle.ClosePrice
# The spread needs both instruments' candles of the same time, whichever arrives last.
if time not in self._first_closes or time not in self._second_closes:
return
first = self._first_closes[time]
second = self._second_closes[time]
for stale in [t for t in self._first_closes if t <= time]:
del self._first_closes[stale]
for stale in [t for t in self._second_closes if t <= time]:
del self._second_closes[stale]
spread = first - second
period = self._lookback_period.Value
self._spreads.append(spread)
if len(self._spreads) > period:
self._spreads.pop(0)
if len(self._spreads) < period:
return
total = Decimal(0)
for value in self._spreads:
total += value
mean = total / Decimal(period)
squares = Decimal(0)
for value in self._spreads:
squares += (value - mean) * (value - mean)
deviation = Decimal(Math.Sqrt(Decimal.ToDouble(squares / Decimal(period))))
if deviation == 0:
return
z_score = (spread - mean) / deviation
threshold = Decimal(self._entry_threshold.Value)
if not self.IsFormedAndOnlineAndAllowTrading():
return
stop_percent = Decimal(self._stop_loss_percent.Value)
stop_distance = abs(self._entry_spread) * stop_percent / Decimal(100)
if z_score < -threshold and self._side <= 0:
self._move_legs(1)
self._entry_spread = spread
elif z_score > threshold and self._side >= 0:
self._move_legs(-1)
self._entry_spread = spread
elif self._side > 0 and (spread >= mean or (stop_percent > 0 and spread <= self._entry_spread - stop_distance)):
self._move_legs(0)
elif self._side < 0 and (spread <= mean or (stop_percent > 0 and spread >= self._entry_spread + stop_distance)):
self._move_legs(0)
def _move_legs(self, side):
self._side = side
# Long the spread holds the first instrument and is short the second, each by Volume.
first_change = Decimal(side) * self.Volume - self.Position
if first_change > 0:
self.BuyMarket(first_change)
elif first_change < 0:
self.SellMarket(-first_change)
portfolio = self._asset2_portfolio.Value
if portfolio is None:
portfolio = self.Portfolio
second_position = self.GetPositionValue(self.asset2_security, portfolio)
if second_position is None:
second_position = Decimal(0)
second_change = Decimal(-side) * self.Volume - second_position
if second_change != 0:
order = Order()
order.Security = self.asset2_security
order.Portfolio = portfolio
order.Side = Sides.Buy if second_change > 0 else Sides.Sell
order.Volume = abs(second_change)
order.Type = OrderTypes.Market
self.RegisterOrder(order)
def CreateClone(self):
return delta_neutral_arbitrage_strategy()