原油预测股票策略
该策略利用原油和股票收益之间的关系。如果过去一个月原油收益为正,则资金投入股票ETF;否则转向现金或债券ETF,在油价疲弱时退出股市。
算法基于日K线,在每月的第一个交易日检查信号。订单以市价提交,并遵守最小交易金额以避免碎片化成交。
细节
- 投资范围:一个股票ETF、一种原油合约和一个现金/债券ETF。
- 信号:当原油在
Lookback周期内的收益率>0时买入股票ETF,否则持有CashEtf。 - 再平衡:每月初。
- 仓位:在股票ETF和现金ETF之间切换,不同时持有。
- 参数:
Equity– 目标股票ETF。Oil– 用于信号的原油品种。CashEtf– 当油价走弱时持有的资产。Lookback– 计算原油收益的K线数量。CandleType– 使用的K线周期(默认1天)。
- 注意:示例主要展示结构,没有考虑交易成本和滑点。
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Configuration;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy that holds the primary equity instrument when the benchmark crude-oil proxy shows positive momentum and exits when the signal weakens.
/// </summary>
public class CrudeOilPredictsEquityStrategy : Strategy
{
private readonly StrategyParam<string> _oilSecurityId;
private readonly StrategyParam<int> _lookback;
private readonly StrategyParam<int> _trendLength;
private readonly StrategyParam<decimal> _oilThreshold;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<DataType> _candleType;
private Security _oilSecurity = null!;
private RateOfChange _oilMomentum = null!;
private SimpleMovingAverage _equityTrend = null!;
private decimal _latestEquityPrice;
private decimal _latestEquityTrend;
private decimal _latestOilMomentum;
private bool _equityUpdated;
private bool _oilUpdated;
private int _cooldownRemaining;
/// <summary>
/// Crude oil benchmark identifier.
/// </summary>
public string OilSecurityId
{
get => _oilSecurityId.Value;
set => _oilSecurityId.Value = value;
}
/// <summary>
/// Number of candles used to compute oil momentum.
/// </summary>
public int Lookback
{
get => _lookback.Value;
set => _lookback.Value = value;
}
/// <summary>
/// Equity trend filter length.
/// </summary>
public int TrendLength
{
get => _trendLength.Value;
set => _trendLength.Value = value;
}
/// <summary>
/// Minimum oil momentum required to hold equity exposure.
/// </summary>
public decimal OilThreshold
{
get => _oilThreshold.Value;
set => _oilThreshold.Value = value;
}
/// <summary>
/// Closed candles to wait before another position change.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Stop loss percentage.
/// </summary>
public decimal StopLoss
{
get => _stopLoss.Value;
set => _stopLoss.Value = value;
}
/// <summary>
/// Candle type used for both instruments.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes strategy parameters.
/// </summary>
public CrudeOilPredictsEquityStrategy()
{
_oilSecurityId = Param(nameof(OilSecurityId), Paths.HistoryDefaultSecurity2)
.SetDisplay("Oil Security Id", "Identifier of the crude-oil benchmark security", "General");
_lookback = Param(nameof(Lookback), 20)
.SetRange(5, 120)
.SetDisplay("Lookback", "Number of candles used to compute oil momentum", "Indicators");
_trendLength = Param(nameof(TrendLength), 20)
.SetRange(5, 120)
.SetDisplay("Trend Length", "Equity trend filter length", "Indicators");
_oilThreshold = Param(nameof(OilThreshold), 0m)
.SetRange(-20m, 20m)
.SetDisplay("Oil Threshold", "Minimum oil momentum required to hold equity exposure", "Signals");
_cooldownBars = Param(nameof(CooldownBars), 8)
.SetRange(0, 100)
.SetDisplay("Cooldown Bars", "Closed candles to wait before another position change", "Risk");
_stopLoss = Param(nameof(StopLoss), 2.5m)
.SetRange(0.5m, 10m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle series for both instruments", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
if (Security != null)
yield return (Security, CandleType);
if (!OilSecurityId.IsEmpty())
yield return (new Security { Id = OilSecurityId }, CandleType);
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_oilSecurity = null!;
_oilMomentum = null!;
_equityTrend = null!;
_latestEquityPrice = 0m;
_latestEquityTrend = 0m;
_latestOilMomentum = 0m;
_equityUpdated = false;
_oilUpdated = false;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (Security == null)
throw new InvalidOperationException("Primary equity security is not specified.");
if (OilSecurityId.IsEmpty())
throw new InvalidOperationException("Oil security identifier is not specified.");
_oilSecurity = this.LookupById(OilSecurityId) ?? new Security { Id = OilSecurityId };
_oilMomentum = new RateOfChange { Length = Lookback };
_equityTrend = new SimpleMovingAverage { Length = TrendLength };
var equitySubscription = SubscribeCandles(CandleType, security: Security);
var oilSubscription = SubscribeCandles(CandleType, security: _oilSecurity);
equitySubscription
.Bind(ProcessEquityCandle)
.Start();
oilSubscription
.Bind(ProcessOilCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, equitySubscription);
DrawCandles(area, oilSubscription);
DrawOwnTrades(area);
}
StartProtection(
new Unit(2, UnitTypes.Percent),
new Unit(StopLoss, UnitTypes.Percent));
}
private void ProcessEquityCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_latestEquityPrice = candle.ClosePrice;
_latestEquityTrend = _equityTrend.Process(candle).ToDecimal();
_equityUpdated = _equityTrend.IsFormed;
TryProcessSignal();
}
private void ProcessOilCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var oilValue = _oilMomentum.Process(candle);
if (!oilValue.IsEmpty && _oilMomentum.IsFormed)
{
_latestOilMomentum = oilValue.ToDecimal();
_oilUpdated = true;
TryProcessSignal();
}
}
private void TryProcessSignal()
{
if (!_equityUpdated || !_oilUpdated)
return;
_equityUpdated = false;
_oilUpdated = false;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var bullishSignal = _latestOilMomentum > OilThreshold && _latestEquityPrice >= _latestEquityTrend;
var exitSignal = _latestOilMomentum <= OilThreshold || _latestEquityPrice < _latestEquityTrend;
if (_cooldownRemaining == 0 && Position == 0 && bullishSignal)
{
BuyMarket();
_cooldownRemaining = CooldownBars;
}
else if (Position > 0 && exitSignal)
{
SellMarket(Position);
_cooldownRemaining = CooldownBars;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import RateOfChange, SimpleMovingAverage, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
from StockSharp.BusinessEntities import Security
class crude_oil_predicts_equity_strategy(Strategy):
"""Strategy that holds equity when oil momentum is positive and equity is above trend."""
def __init__(self):
super(crude_oil_predicts_equity_strategy, self).__init__()
self._oil_security_id = self.Param("OilSecurityId", "TONUSDT@BNBFT") \
.SetDisplay("Oil Security Id", "Identifier of the crude-oil benchmark security", "General")
self._lookback = self.Param("Lookback", 20) \
.SetRange(5, 120) \
.SetDisplay("Lookback", "Number of candles used to compute oil momentum", "Indicators")
self._trend_length = self.Param("TrendLength", 20) \
.SetRange(5, 120) \
.SetDisplay("Trend Length", "Equity trend filter length", "Indicators")
self._oil_threshold = self.Param("OilThreshold", 0.0) \
.SetRange(-20.0, 20.0) \
.SetDisplay("Oil Threshold", "Minimum oil momentum required to hold equity exposure", "Signals")
self._cooldown_bars = self.Param("CooldownBars", 8) \
.SetRange(0, 100) \
.SetDisplay("Cooldown Bars", "Closed candles to wait before another position change", "Risk")
self._stop_loss = self.Param("StopLoss", 2.5) \
.SetRange(0.5, 10.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle series for both instruments", "General")
self._oil_security = None
self._oil_momentum = None
self._equity_trend = None
self._latest_equity_price = 0.0
self._latest_equity_trend = 0.0
self._latest_oil_momentum = 0.0
self._equity_updated = False
self._oil_updated = False
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def GetWorkingSecurities(self):
result = []
if self.Security is not None:
result.append((self.Security, self.candle_type))
sec2_id = str(self._oil_security_id.Value)
if sec2_id:
s = Security()
s.Id = sec2_id
result.append((s, self.candle_type))
return result
def OnReseted(self):
super(crude_oil_predicts_equity_strategy, self).OnReseted()
self._oil_security = None
self._oil_momentum = None
self._equity_trend = None
self._latest_equity_price = 0.0
self._latest_equity_trend = 0.0
self._latest_oil_momentum = 0.0
self._equity_updated = False
self._oil_updated = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(crude_oil_predicts_equity_strategy, self).OnStarted2(time)
sec2_id = str(self._oil_security_id.Value)
if not sec2_id:
raise Exception("Oil security identifier is not specified.")
s = Security()
s.Id = sec2_id
self._oil_security = s
self._oil_momentum = RateOfChange()
self._oil_momentum.Length = int(self._lookback.Value)
self._equity_trend = SimpleMovingAverage()
self._equity_trend.Length = int(self._trend_length.Value)
equity_subscription = self.SubscribeCandles(self.candle_type, True, self.Security)
oil_subscription = self.SubscribeCandles(self.candle_type, True, self._oil_security)
equity_subscription.Bind(self.ProcessEquityCandle).Start()
oil_subscription.Bind(self.ProcessOilCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, equity_subscription)
self.DrawCandles(area, oil_subscription)
self.DrawOwnTrades(area)
self.StartProtection(
Unit(2, UnitTypes.Percent),
Unit(float(self._stop_loss.Value), UnitTypes.Percent)
)
def ProcessEquityCandle(self, candle):
if candle.State != CandleStates.Finished:
return
self._latest_equity_price = float(candle.ClosePrice)
civ = CandleIndicatorValue(self._equity_trend, candle)
civ.IsFinal = True
trend_result = self._equity_trend.Process(civ)
self._latest_equity_trend = float(trend_result)
self._equity_updated = self._equity_trend.IsFormed
self.TryProcessSignal()
def ProcessOilCandle(self, candle):
if candle.State != CandleStates.Finished:
return
civ = CandleIndicatorValue(self._oil_momentum, candle)
civ.IsFinal = True
oil_result = self._oil_momentum.Process(civ)
if not oil_result.IsEmpty and self._oil_momentum.IsFormed:
self._latest_oil_momentum = float(oil_result)
self._oil_updated = True
self.TryProcessSignal()
def TryProcessSignal(self):
if not self._equity_updated or not self._oil_updated:
return
self._equity_updated = False
self._oil_updated = False
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
oil_threshold = float(self._oil_threshold.Value)
cooldown = int(self._cooldown_bars.Value)
bullish_signal = self._latest_oil_momentum > oil_threshold and self._latest_equity_price >= self._latest_equity_trend
exit_signal = self._latest_oil_momentum <= oil_threshold or self._latest_equity_price < self._latest_equity_trend
if self._cooldown_remaining == 0 and self.Position == 0 and bullish_signal:
self.BuyMarket()
self._cooldown_remaining = cooldown
elif self.Position > 0 and exit_signal:
self.SellMarket(self.Position)
self._cooldown_remaining = cooldown
def CreateClone(self):
return crude_oil_predicts_equity_strategy()