随机RSI交叉
该策略关注StochRSI的%K与%D线交叉。接近超卖区的金叉触发做多,接近超买区的死叉触发做空,反向交叉时平仓。由于StochRSI波动很快,信号频繁,通常要求交叉靠近极值以过滤噪音。
测试表明年均收益约为 112%,该策略在外汇市场表现最佳。
详情
- 入场条件: 基于 RSI、Stochastic 的信号
- 多空方向: 双向
- 退出条件: 反向信号或止损
- 止损: 是
- 默认值:
RsiPeriod= 14StochPeriod= 14KPeriod= 3DPeriod= 3StopLossPercent= 2mCandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类型: 趋势
- 方向: 双向
- 指标: RSI, Stochastic
- 止损: 是
- 复杂度: 基础
- 时间框架: 日内 (5m)
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险等级: 中
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 based on Stochastic Oscillator K/D crossover.
/// Buys when %K crosses above %D in oversold zone.
/// Sells when %K crosses below %D in overbought zone.
/// </summary>
public class StochasticRsiCrossStrategy : Strategy
{
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<int> _dPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevK;
private decimal _prevD;
private bool _hasPrevValues;
private int _cooldown;
/// <summary>
/// K period.
/// </summary>
public int KPeriod
{
get => _kPeriod.Value;
set => _kPeriod.Value = value;
}
/// <summary>
/// D period.
/// </summary>
public int DPeriod
{
get => _dPeriod.Value;
set => _dPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="StochasticRsiCrossStrategy"/>.
/// </summary>
public StochasticRsiCrossStrategy()
{
_kPeriod = Param(nameof(KPeriod), 14)
.SetDisplay("K Period", "Period for %K line", "Indicators")
.SetOptimize(10, 20, 2);
_dPeriod = Param(nameof(DPeriod), 3)
.SetDisplay("D Period", "Period for %D line", "Indicators")
.SetOptimize(3, 5, 1);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).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();
_prevK = default;
_prevD = default;
_hasPrevValues = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var stoch = new StochasticOscillator
{
K = { Length = KPeriod },
D = { Length = DPeriod }
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(stoch, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, stoch);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue stochValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var stoch = (IStochasticOscillatorValue)stochValue;
if (stoch.K is not decimal k || stoch.D is not decimal d)
return;
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevK = k;
_prevD = d;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevK = k;
_prevD = d;
return;
}
// %K crosses above %D in oversold zone (< 20) - buy
if (_prevK <= _prevD && k > d && k < 20 && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
_cooldown = 5;
}
// %K crosses below %D in overbought zone (> 80) - sell
else if (_prevK >= _prevD && k < d && k > 80 && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
_cooldown = 5;
}
_prevK = k;
_prevD = d;
}
}
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 StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class stochastic_rsi_cross_strategy(Strategy):
"""
Stochastic K/D crossover strategy.
Buys when %K crosses above %D in oversold zone.
Sells when %K crosses below %D in overbought zone.
"""
def __init__(self):
super(stochastic_rsi_cross_strategy, self).__init__()
self._k_period = self.Param("KPeriod", 14).SetDisplay("K Period", "Period for %K line", "Indicators")
self._d_period = self.Param("DPeriod", 3).SetDisplay("D Period", "Period for %D line", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_k = 0.0
self._prev_d = 0.0
self._has_prev = False
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(stochastic_rsi_cross_strategy, self).OnReseted()
self._prev_k = 0.0
self._prev_d = 0.0
self._has_prev = False
self._cooldown = 0
def OnStarted2(self, time):
super(stochastic_rsi_cross_strategy, self).OnStarted2(time)
stoch = StochasticOscillator()
stoch.K.Length = self._k_period.Value
stoch.D.Length = self._d_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(stoch, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, stoch)
self.DrawOwnTrades(area)
def _process_candle(self, candle, stoch_val):
if candle.State != CandleStates.Finished:
return
if stoch_val.K is None or stoch_val.D is None:
return
k = float(stoch_val.K)
d = float(stoch_val.D)
if not self._has_prev:
self._has_prev = True
self._prev_k = k
self._prev_d = d
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_k = k
self._prev_d = d
return
# %K crosses above %D in oversold zone (< 20)
if self._prev_k <= self._prev_d and k > d and k < 20 and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._cooldown = 5
# %K crosses below %D in overbought zone (> 80)
elif self._prev_k >= self._prev_d and k < d and k > 80 and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._cooldown = 5
self._prev_k = k
self._prev_d = d
def CreateClone(self):
return stochastic_rsi_cross_strategy()