Averaged Stoch & WPR 策略
该策略将随机指标 (Stochastic) 与威廉指标 (Williams %R) 结合,用于识别市场的极端超买和超卖状态。 当随机指标低于 0.1 且 Williams %R 低于 -90 时开多单,表示市场严重超卖。 当随机指标高于 99.9 且 Williams %R 高于 -5 时开空单,表示市场严重超买。
策略适用于所选蜡烛类型支持的任何品种和周期,可进行多空交易,并提供可选的百分比止损以控制风险。
细节
- 入场条件:
- 做多:Stochastic < 0.1 且 Williams %R < -90。
- 做空:Stochastic > 99.9 且 Williams %R > -5。
- 多空方向:双向。
- 出场条件:反向信号或触发止损。
- 止损:可选百分比止损。
- 指标:
- 随机指标(默认周期 26)。
- Williams %R(默认周期 26)。
参数
StochPeriod– 随机指标周期。WprPeriod– Williams %R 周期。StopLossPercent– 百分比止损大小。CandleType– 用于计算指标的蜡烛类型。
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 using RSI and Williams %R for oversold/overbought entries.
/// </summary>
public class AveragedStochWprStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _wprPeriod;
private readonly StrategyParam<DataType> _candleType;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int WprPeriod { get => _wprPeriod.Value; set => _wprPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public AveragedStochWprStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
_wprPeriod = Param(nameof(WprPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("WPR Period", "Williams %R period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var wpr = new WilliamsR { Length = WprPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, wpr, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsi, decimal wpr)
{
if (candle.State != CandleStates.Finished)
return;
// Buy: RSI oversold + WPR oversold
if (rsi < 30 && wpr < -80 && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Sell: RSI overbought + WPR overbought
else if (rsi > 70 && wpr > -20 && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
// Exit
else if (Position > 0 && rsi > 65)
SellMarket();
else if (Position < 0 && rsi < 35)
BuyMarket();
}
}
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 RelativeStrengthIndex, WilliamsR
from StockSharp.Algo.Strategies import Strategy
class averaged_stoch_wpr_strategy(Strategy):
def __init__(self):
super(averaged_stoch_wpr_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI period", "Indicators")
self._wpr_period = self.Param("WprPeriod", 14) \
.SetDisplay("WPR Period", "Williams %R period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def wpr_period(self):
return self._wpr_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(averaged_stoch_wpr_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
wpr = WilliamsR()
wpr.Length = self.wpr_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, wpr, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, rsi, wpr):
if candle.State != CandleStates.Finished:
return
# Buy: RSI oversold + WPR oversold
if rsi < 30 and wpr < -80 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
# Sell: RSI overbought + WPR overbought
elif rsi > 70 and wpr > -20 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
# Exit
elif self.Position > 0 and rsi > 65:
self.SellMarket()
elif self.Position < 0 and rsi < 35:
self.BuyMarket()
def CreateClone(self):
return averaged_stoch_wpr_strategy()