Stochastic Three Periods
Stochastic Three Periods 策略在三个时间框架上对齐随机指标信号。 当快速随机指标发生交叉且两个更高时间框架同向时开仓。
细节
- 入场条件:快速 %K 向上/下穿越 %D,且在
ShiftEntrance根K线前出现相反关系;两个更高时间框架的 %K 均在 %D 之上或之下;收盘价配合信号方向。 - 多空方向:双向。
- 出场条件:上一根K线的快速随机指标出现反向交叉。
- 止损止盈:通过
StartProtection以点数固定。 - 默认值:
CandleType1= 5mCandleType2= 15mCandleType3= 30mKPeriod1= 5KPeriod2= 5KPeriod3= 5KExitPeriod= 5ShiftEntrance= 3TakeProfitPoints= 30StopLossPoints= 10
- 筛选:
- 类型: 振荡指标
- 方向: 双向
- 指标: Stochastic
- 止损: 是
- 复杂度: 中等
- 时间框架: 日内
- 季节性: 否
- 神经网络: 否
- 背离: 否
- 风险等级: 中等
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Stochastic alignment strategy using fast and slow stochastic oscillators.
/// Enters when both stochastics agree on direction.
/// </summary>
public class StochasticThreePeriodsStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private RelativeStrengthIndex _slowRsi;
private decimal _prevSlow;
private int _lastSignal;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public StochasticThreePeriodsStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 5)
.SetGreaterThanZero()
.SetDisplay("Fast K", "Fast stochastic K period", "Parameters");
_slowPeriod = Param(nameof(SlowPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Slow K", "Slow stochastic K period", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Working timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevSlow = 0m;
_lastSignal = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastRsi = new RelativeStrengthIndex { Length = FastPeriod };
_slowRsi = new RelativeStrengthIndex { Length = SlowPeriod };
_prevSlow = 0m;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastRsi, (candle, fastValue) =>
{
if (candle.State != CandleStates.Finished)
return;
var slowResult = _slowRsi.Process(candle.ClosePrice, candle.CloseTime, true);
if (!_slowRsi.IsFormed || slowResult.IsEmpty)
return;
var slowValue = slowResult.ToDecimal();
if (fastValue > slowValue && fastValue > 55m && slowValue > 50m && slowValue > _prevSlow && _lastSignal != 1 && Position <= 0)
{
BuyMarket();
_lastSignal = 1;
}
else if (fastValue < slowValue && fastValue < 45m && slowValue < 50m && slowValue < _prevSlow && _lastSignal != -1 && Position >= 0)
{
SellMarket();
_lastSignal = -1;
}
_prevSlow = slowValue;
})
.Start();
StartProtection(
new Unit(2000m, UnitTypes.Absolute),
new Unit(1000m, UnitTypes.Absolute));
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.BusinessEntities")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class stochastic_three_periods_strategy(Strategy):
"""Fast/slow RSI alignment with StartProtection."""
def __init__(self):
super(stochastic_three_periods_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 5).SetGreaterThanZero().SetDisplay("Fast K", "Fast RSI period", "Parameters")
self._slow_period = self.Param("SlowPeriod", 14).SetGreaterThanZero().SetDisplay("Slow K", "Slow RSI period", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))).SetDisplay("Candle Type", "Working timeframe", "General")
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, value): self._candle_type.Value = value
def OnReseted(self):
super(stochastic_three_periods_strategy, self).OnReseted()
self._prev_slow = 0
self._last_signal = 0
def OnStarted2(self, time):
super(stochastic_three_periods_strategy, self).OnStarted2(time)
self._prev_slow = 0
self._last_signal = 0
self._fast_rsi = RelativeStrengthIndex()
self._fast_rsi.Length = self._fast_period.Value
self._slow_rsi = RelativeStrengthIndex()
self._slow_rsi.Length = self._slow_period.Value
sub = self.SubscribeCandles(self.CandleType)
sub.Bind(self._fast_rsi, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, sub)
self.DrawIndicator(area, self._fast_rsi)
self.DrawOwnTrades(area)
self.StartProtection(
Unit(2000, UnitTypes.Absolute),
Unit(1000, UnitTypes.Absolute))
def OnProcess(self, candle, fast_value):
if candle.State != CandleStates.Finished:
return
slow_result = process_float(self._slow_rsi, candle.ClosePrice, candle.OpenTime, True)
if not self._slow_rsi.IsFormed or slow_result.IsEmpty:
return
slow_value = float(slow_result)
fast_value = float(fast_value)
if fast_value > slow_value and fast_value > 55 and slow_value > 50 and slow_value > self._prev_slow and self._last_signal != 1 and self.Position <= 0:
self.BuyMarket()
self._last_signal = 1
elif fast_value < slow_value and fast_value < 45 and slow_value < 50 and slow_value < self._prev_slow and self._last_signal != -1 and self.Position >= 0:
self.SellMarket()
self._last_signal = -1
self._prev_slow = slow_value
def CreateClone(self):
return stochastic_three_periods_strategy()