Williams %R
本策略依据Williams %R指标寻找超买和超卖区域。指标升至上界以上时暗示疲软可做空,跌到下界以下则考虑做多,直至%R回到中性区域后离场。由于%R波动较快,在波动市中信号频繁,可配合其他过滤器以减少噪音。
测试表明年均收益约为 88%,该策略在股票市场表现最佳。
详情
- 入场条件: 基于 Williams %R 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:
Period= 14StopLossPercent= 2mCandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类型: 趋势
- 方向: 双向
- 指标: Williams
- 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 Williams %R indicator.
/// Buys when Williams %R crosses from oversold zone upward,
/// sells when it crosses from overbought zone downward.
/// </summary>
public class WilliamsPercentRStrategy : Strategy
{
private readonly StrategyParam<int> _period;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevWR;
private bool _hasPrevValues;
private int _cooldown;
/// <summary>
/// Williams %R period.
/// </summary>
public int Period
{
get => _period.Value;
set => _period.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="WilliamsPercentRStrategy"/>.
/// </summary>
public WilliamsPercentRStrategy()
{
_period = Param(nameof(Period), 14)
.SetDisplay("Period", "Period for Williams %R calculation", "Indicators")
.SetOptimize(10, 20, 2);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).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();
_prevWR = default;
_hasPrevValues = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var highest = new Highest { Length = Period };
var lowest = new Lowest { Length = Period };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(highest, lowest, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, highest);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal highest, decimal lowest)
{
if (candle.State != CandleStates.Finished)
return;
var range = highest - lowest;
if (range == 0)
return;
// Williams %R = (Highest - Close) / (Highest - Lowest) * -100
var wrValue = (highest - candle.ClosePrice) / range * -100m;
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevWR = wrValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevWR = wrValue;
return;
}
// Williams %R crosses from oversold (-80) upward - buy signal
if (_prevWR < -80m && wrValue >= -80m && Position <= 0)
{
BuyMarket();
_cooldown = 50;
}
// Williams %R crosses from overbought (-20) downward - sell signal
else if (_prevWR > -20m && wrValue <= -20m && Position >= 0)
{
SellMarket();
_cooldown = 50;
}
_prevWR = wrValue;
}
}
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 Highest, Lowest
from StockSharp.Algo.Strategies import Strategy
class williams_percent_r_strategy(Strategy):
"""
Strategy based on Williams %R indicator.
Buys when Williams %R crosses from oversold zone upward,
sells when it crosses from overbought zone downward.
"""
def __init__(self):
super(williams_percent_r_strategy, self).__init__()
self._period = self.Param("Period", 14) \
.SetDisplay("Period", "Period for Williams %R calculation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_wr = 0.0
self._has_prev_values = False
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(williams_percent_r_strategy, self).OnReseted()
self._prev_wr = 0.0
self._has_prev_values = False
self._cooldown = 0
def OnStarted2(self, time):
super(williams_percent_r_strategy, self).OnStarted2(time)
highest = Highest()
highest.Length = self._period.Value
lowest = Lowest()
lowest.Length = self._period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(highest, lowest, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, highest)
self.DrawOwnTrades(area)
def _process_candle(self, candle, highest_val, lowest_val):
if candle.State != CandleStates.Finished:
return
h = float(highest_val)
l = float(lowest_val)
rng = h - l
if rng == 0:
return
wr = (h - float(candle.ClosePrice)) / rng * -100.0
if not self._has_prev_values:
self._has_prev_values = True
self._prev_wr = wr
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_wr = wr
return
if self._prev_wr < -80 and wr >= -80 and self.Position <= 0:
self.BuyMarket()
self._cooldown = 50
elif self._prev_wr > -20 and wr <= -20 and self.Position >= 0:
self.SellMarket()
self._cooldown = 50
self._prev_wr = wr
def CreateClone(self):
return williams_percent_r_strategy()