Parabolic Sar Stochastic Strategy 策略 (中文)
该文档的中文版本尚未完成,详细说明请参阅英文版 README.md。
测试表明年均收益约为 61%,该策略在加密市场表现最佳。
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>
/// Strategy combining Parabolic SAR trend direction with Stochastic entry confirmation.
/// </summary>
public class ParabolicSarStochasticStrategy : Strategy
{
private readonly StrategyParam<decimal> _accelerationFactor;
private readonly StrategyParam<decimal> _maxAccelerationFactor;
private readonly StrategyParam<int> _stochK;
private readonly StrategyParam<int> _stochD;
private readonly StrategyParam<int> _stochPeriod;
private readonly StrategyParam<decimal> _stochOversold;
private readonly StrategyParam<decimal> _stochOverbought;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _sarValue;
private decimal _lastStochK;
private bool _isAboveSar;
private bool _hasTrendState;
private int _cooldown;
/// <summary>
/// Parabolic SAR acceleration factor.
/// </summary>
public decimal AccelerationFactor
{
get => _accelerationFactor.Value;
set => _accelerationFactor.Value = value;
}
/// <summary>
/// Parabolic SAR max acceleration factor.
/// </summary>
public decimal MaxAccelerationFactor
{
get => _maxAccelerationFactor.Value;
set => _maxAccelerationFactor.Value = value;
}
/// <summary>
/// Stochastic K period.
/// </summary>
public int StochK
{
get => _stochK.Value;
set => _stochK.Value = value;
}
/// <summary>
/// Stochastic D period.
/// </summary>
public int StochD
{
get => _stochD.Value;
set => _stochD.Value = value;
}
/// <summary>
/// Stochastic main period.
/// </summary>
public int StochPeriod
{
get => _stochPeriod.Value;
set => _stochPeriod.Value = value;
}
/// <summary>
/// Stochastic oversold level.
/// </summary>
public decimal StochOversold
{
get => _stochOversold.Value;
set => _stochOversold.Value = value;
}
/// <summary>
/// Stochastic overbought level.
/// </summary>
public decimal StochOverbought
{
get => _stochOverbought.Value;
set => _stochOverbought.Value = value;
}
/// <summary>
/// Bars to wait between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type used for strategy.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Strategy constructor.
/// </summary>
public ParabolicSarStochasticStrategy()
{
_accelerationFactor = Param(nameof(AccelerationFactor), 0.02m)
.SetRange(0.01m, 0.2m)
.SetDisplay("Acceleration Factor", "Initial acceleration factor for SAR", "SAR");
_maxAccelerationFactor = Param(nameof(MaxAccelerationFactor), 0.2m)
.SetRange(0.05m, 0.5m)
.SetDisplay("Max Acceleration Factor", "Maximum acceleration factor for SAR", "SAR");
_stochK = Param(nameof(StochK), 3)
.SetRange(1, 10)
.SetDisplay("Stochastic %K", "Stochastic %K smoothing period", "Stochastic");
_stochD = Param(nameof(StochD), 3)
.SetRange(1, 10)
.SetDisplay("Stochastic %D", "Stochastic %D smoothing period", "Stochastic");
_stochPeriod = Param(nameof(StochPeriod), 14)
.SetRange(5, 30)
.SetDisplay("Stochastic Period", "Main stochastic period", "Stochastic");
_stochOversold = Param(nameof(StochOversold), 20m)
.SetDisplay("Oversold Level", "Stochastic oversold level", "Stochastic");
_stochOverbought = Param(nameof(StochOverbought), 80m)
.SetDisplay("Overbought Level", "Stochastic overbought level", "Stochastic");
_cooldownBars = Param(nameof(CooldownBars), 160)
.SetRange(5, 500)
.SetDisplay("Cooldown Bars", "Bars between trades", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type for strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_sarValue = 0;
_lastStochK = 50m;
_isAboveSar = false;
_hasTrendState = false;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var parabolicSar = new ParabolicSar
{
AccelerationStep = AccelerationFactor,
AccelerationMax = MaxAccelerationFactor
};
var stochastic = new StochasticOscillator
{
K = { Length = StochK },
D = { Length = StochD },
};
var subscription = SubscribeCandles(CandleType);
subscription.BindEx(parabolicSar, OnSar);
subscription
.BindEx(stochastic, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, parabolicSar);
DrawOwnTrades(area);
var stochArea = CreateChartArea();
if (stochArea != null)
DrawIndicator(stochArea, stochastic);
}
}
private void OnSar(ICandleMessage candle, IIndicatorValue sarValue)
{
if (candle is null || sarValue is null)
return;
if (candle.State != CandleStates.Finished || !sarValue.IsFormed)
return;
_sarValue = sarValue.ToDecimal();
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue stochValue)
{
if (candle is null || stochValue is null)
return;
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_sarValue == 0 || !stochValue.IsFormed)
return;
if (stochValue is not IStochasticOscillatorValue stochTyped || stochTyped.K is not decimal stochK)
return;
var close = candle.ClosePrice;
var priceAboveSar = close > _sarValue;
if (!_hasTrendState)
{
_isAboveSar = priceAboveSar;
_hasTrendState = true;
_lastStochK = stochK;
return;
}
var sarSignalChange = priceAboveSar != _isAboveSar;
if (_cooldown > 0)
{
_cooldown--;
_lastStochK = stochK;
_isAboveSar = priceAboveSar;
return;
}
var longEntry = Position == 0
&& priceAboveSar
&& _lastStochK <= StochOversold
&& stochK > _lastStochK;
var shortEntry = Position == 0
&& !priceAboveSar
&& _lastStochK >= StochOverbought
&& stochK < _lastStochK;
if (longEntry)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (shortEntry)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (sarSignalChange && Position > 0 && !priceAboveSar)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (sarSignalChange && Position < 0 && priceAboveSar)
{
BuyMarket();
_cooldown = CooldownBars;
}
_lastStochK = stochK;
_isAboveSar = priceAboveSar;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ParabolicSar, StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class parabolic_sar_stochastic_strategy(Strategy):
"""
Strategy combining Parabolic SAR trend direction with Stochastic entry confirmation.
"""
def __init__(self):
super(parabolic_sar_stochastic_strategy, self).__init__()
self._acceleration_factor = self.Param("AccelerationFactor", 0.02) \
.SetRange(0.01, 0.2) \
.SetDisplay("Acceleration Factor", "Initial acceleration factor for SAR", "SAR")
self._max_acceleration_factor = self.Param("MaxAccelerationFactor", 0.2) \
.SetRange(0.05, 0.5) \
.SetDisplay("Max Acceleration Factor", "Maximum acceleration factor for SAR", "SAR")
self._stoch_k = self.Param("StochK", 3) \
.SetRange(1, 10) \
.SetDisplay("Stochastic %K", "Stochastic %K smoothing period", "Stochastic")
self._stoch_d = self.Param("StochD", 3) \
.SetRange(1, 10) \
.SetDisplay("Stochastic %D", "Stochastic %D smoothing period", "Stochastic")
self._stoch_oversold = self.Param("StochOversold", 20.0) \
.SetDisplay("Oversold Level", "Stochastic oversold level", "Stochastic")
self._stoch_overbought = self.Param("StochOverbought", 80.0) \
.SetDisplay("Overbought Level", "Stochastic overbought level", "Stochastic")
self._cooldown_bars = self.Param("CooldownBars", 160) \
.SetRange(5, 500) \
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Candle type for strategy", "General")
self._sar_value = 0.0
self._last_stoch_k = 50.0
self._is_above_sar = False
self._has_trend_state = False
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(parabolic_sar_stochastic_strategy, self).OnStarted2(time)
self._sar_value = 0.0
self._last_stoch_k = 50.0
self._is_above_sar = False
self._has_trend_state = False
self._cooldown = 0
sar = ParabolicSar()
sar.AccelerationStep = self._acceleration_factor.Value
sar.AccelerationMax = self._max_acceleration_factor.Value
stoch = StochasticOscillator()
stoch.K.Length = self._stoch_k.Value
stoch.D.Length = self._stoch_d.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(sar, self.OnSar)
subscription.BindEx(stoch, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sar)
self.DrawOwnTrades(area)
stoch_area = self.CreateChartArea()
if stoch_area is not None:
self.DrawIndicator(stoch_area, stoch)
def OnSar(self, candle, sar_value):
if candle is None or sar_value is None:
return
if candle.State != CandleStates.Finished or not sar_value.IsFormed:
return
self._sar_value = float(sar_value)
def ProcessCandle(self, candle, stoch_value):
if candle is None or stoch_value is None:
return
if candle.State != CandleStates.Finished:
return
if self._sar_value == 0 or not stoch_value.IsFormed:
return
if not hasattr(stoch_value, 'K') or stoch_value.K is None:
return
stoch_k = float(stoch_value.K)
close = float(candle.ClosePrice)
price_above_sar = close > self._sar_value
if not self._has_trend_state:
self._is_above_sar = price_above_sar
self._has_trend_state = True
self._last_stoch_k = stoch_k
return
sar_signal_change = price_above_sar != self._is_above_sar
if self._cooldown > 0:
self._cooldown -= 1
self._last_stoch_k = stoch_k
self._is_above_sar = price_above_sar
return
cd = self._cooldown_bars.Value
os_level = self._stoch_oversold.Value
ob_level = self._stoch_overbought.Value
long_entry = (self.Position == 0 and price_above_sar
and self._last_stoch_k <= os_level and stoch_k > self._last_stoch_k)
short_entry = (self.Position == 0 and not price_above_sar
and self._last_stoch_k >= ob_level and stoch_k < self._last_stoch_k)
if long_entry:
self.BuyMarket()
self._cooldown = cd
elif short_entry:
self.SellMarket()
self._cooldown = cd
elif sar_signal_change and self.Position > 0 and not price_above_sar:
self.SellMarket()
self._cooldown = cd
elif sar_signal_change and self.Position < 0 and price_above_sar:
self.BuyMarket()
self._cooldown = cd
self._last_stoch_k = stoch_k
self._is_above_sar = price_above_sar
def OnReseted(self):
super(parabolic_sar_stochastic_strategy, self).OnReseted()
self._sar_value = 0.0
self._last_stoch_k = 50.0
self._is_above_sar = False
self._has_trend_state = False
self._cooldown = 0
def CreateClone(self):
return parabolic_sar_stochastic_strategy()