Exp XWPR Histogram Vol Direct 策略
概述
该策略是 MetaTrader 专家顾问 Exp_XWPR_Histogram_Vol_Direct 的 StockSharp 版本。策略保留了通过成交量加权 Williams %R、使用均线平滑并在柱状图颜色翻转时开仓的原始思想。所有交易均在完成的 K 线后执行,可选的 止损和止盈以价格跳动数表示。
核心流程
- 在所选周期上计算 Williams %R。
- 将指标值整体上移 50,与指定的成交量来源(勾子数或真实成交量)相乘,并用可配置的移动平均进行平滑。
- 使用相同的移动平均对原始成交量进行平滑,用于重建指标带(HighLevel2/1、LowLevel1/2)。
- 追踪柱状图斜率的颜色:上升时记为
0,下降时记为1。策略根据SignalShift参数保存最近的颜色历史。 - 当颜色发生变化时执行操作:
0 → 1:如允许则平仓空头,并可选择开多。1 → 0:如允许则平仓多头,并可选择开空。
区域分类(中性/多头/空头/极值)仅用于日志,与原版 EA 一样不会阻止交易决策。
参数说明
| 参数 | 描述 |
|---|---|
WilliamsPeriod |
Williams %R 的计算周期。 |
HighLevel2, HighLevel1, LowLevel1, LowLevel2 |
用于重建指标带的平滑成交量倍数。 |
SmoothingType |
对加权值和成交量同时使用的移动平均类型(SMA、EMA、SMMA、WMA、Hull、VWMA、DEMA、TEMA)。 |
SmoothingLength |
移动平均的长度。 |
SignalShift |
读取完成颜色时向后偏移的 K 线数(1 对应原始默认值)。 |
EnableLongEntries / EnableShortEntries |
允许开多/开空。 |
EnableLongExits / EnableShortExits |
允许平多/平空。 |
VolumeSource |
选择加权所用的成交量来源。 |
StopLossPoints / TakeProfitPoints |
可选止损/止盈,单位为价格跳动。 |
CandleType |
用于分析和交易的 K 线类型及周期。 |
仓位大小通过策略的 Volume 属性设置。触发反向信号时,策略会在现有仓位基础上加上配置的手数,与原始 EA 的
仓位管理一致。
使用提示
- MetaTrader 版本中的
MA_Phase参数在 StockSharp 中不可用,因为内置移动平均不支持该设置。 - 请确保加载足够的历史数据,让移动平均在交易前已经形成。
- 策略可运行在任意支持的品种上;将
CandleType设置为所需的时间框架(默认 4 小时)。 - 如果数据源不提供勾子数,请将
VolumeSource切换为真实成交量。
日志与图表
策略会在默认图表区域绘制 K 线和 Williams %R 指标。交易日志会记录触发区域和当前平滑值,方便与 MetaTrader 原版进行对比和调试。
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using StockSharp.Algo;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Direct Williams %R histogram strategy with volume-weighted smoothing.
/// Trades only on strong bullish and bearish zone flips.
/// </summary>
public class ExpXwprHistogramVolDirectStrategy : Strategy
{
private readonly StrategyParam<int> _williamsPeriod;
private readonly StrategyParam<int> _highLevel1;
private readonly StrategyParam<int> _lowLevel1;
private readonly StrategyParam<MovingAverageKinds> _smoothingType;
private readonly StrategyParam<int> _smoothingLength;
private readonly StrategyParam<bool> _enableLongEntries;
private readonly StrategyParam<bool> _enableShortEntries;
private readonly StrategyParam<bool> _enableLongExits;
private readonly StrategyParam<bool> _enableShortExits;
private readonly StrategyParam<VolumeSources> _volumeSource;
private readonly StrategyParam<int> _signalCooldownBars;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private readonly StrategyParam<DataType> _candleType;
private WilliamsR _williams;
private DecimalLengthIndicator _valueSmoother;
private DecimalLengthIndicator _volumeSmoother;
private int? _previousZone;
private int _cooldownRemaining;
public int WilliamsPeriod { get => _williamsPeriod.Value; set => _williamsPeriod.Value = value; }
public int HighLevel1 { get => _highLevel1.Value; set => _highLevel1.Value = value; }
public int LowLevel1 { get => _lowLevel1.Value; set => _lowLevel1.Value = value; }
public MovingAverageKinds SmoothingType { get => _smoothingType.Value; set => _smoothingType.Value = value; }
public int SmoothingLength { get => _smoothingLength.Value; set => _smoothingLength.Value = value; }
public bool EnableLongEntries { get => _enableLongEntries.Value; set => _enableLongEntries.Value = value; }
public bool EnableShortEntries { get => _enableShortEntries.Value; set => _enableShortEntries.Value = value; }
public bool EnableLongExits { get => _enableLongExits.Value; set => _enableLongExits.Value = value; }
public bool EnableShortExits { get => _enableShortExits.Value; set => _enableShortExits.Value = value; }
public VolumeSources VolumeSource { get => _volumeSource.Value; set => _volumeSource.Value = value; }
public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ExpXwprHistogramVolDirectStrategy()
{
_williamsPeriod = Param(nameof(WilliamsPeriod), 14)
.SetRange(5, 200)
.SetDisplay("Williams %R Period", "Lookback for the Williams %R oscillator", "Indicator");
_highLevel1 = Param(nameof(HighLevel1), 1)
.SetRange(-200, 200)
.SetDisplay("High Level 1", "Bullish threshold", "Indicator");
_lowLevel1 = Param(nameof(LowLevel1), -1)
.SetRange(-200, 200)
.SetDisplay("Low Level 1", "Bearish threshold", "Indicator");
_smoothingType = Param(nameof(SmoothingType), MovingAverageKinds.Simple)
.SetDisplay("Smoothing Type", "Moving average type used for smoothing", "Indicator");
_smoothingLength = Param(nameof(SmoothingLength), 12)
.SetRange(2, 200)
.SetDisplay("Smoothing Length", "Moving average length", "Indicator");
_enableLongEntries = Param(nameof(EnableLongEntries), true)
.SetDisplay("Enable Long Entries", "Allow the strategy to open long positions", "Trading Rules");
_enableShortEntries = Param(nameof(EnableShortEntries), true)
.SetDisplay("Enable Short Entries", "Allow the strategy to open short positions", "Trading Rules");
_enableLongExits = Param(nameof(EnableLongExits), true)
.SetDisplay("Enable Long Exits", "Allow the strategy to close long positions", "Trading Rules");
_enableShortExits = Param(nameof(EnableShortExits), true)
.SetDisplay("Enable Short Exits", "Allow the strategy to close short positions", "Trading Rules");
_volumeSource = Param(nameof(VolumeSource), VolumeSources.Tick)
.SetDisplay("Volume Source", "Type of volume used for weighting", "Indicator");
_signalCooldownBars = Param(nameof(SignalCooldownBars), 5)
.SetRange(1, 200)
.SetDisplay("Signal Cooldown", "Bars to wait between new entries", "Trading Rules");
_stopLossPoints = Param(nameof(StopLossPoints), 1000)
.SetRange(0, 10000)
.SetDisplay("Stop Loss (ticks)", "Protective stop distance in price steps", "Risk Management");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 2000)
.SetRange(0, 10000)
.SetDisplay("Take Profit (ticks)", "Profit target distance in price steps", "Risk Management");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type used for analysis", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_williams = null;
_valueSmoother = null;
_volumeSmoother = null;
_previousZone = null;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_williams = new WilliamsR { Length = WilliamsPeriod };
_valueSmoother = CreateMovingAverage(SmoothingType, SmoothingLength);
_volumeSmoother = CreateMovingAverage(SmoothingType, SmoothingLength);
_previousZone = null;
_cooldownRemaining = 0;
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ProcessCandle).Start();
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(1, UnitTypes.Percent)
);
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var williamsValue = _williams.Process(candle);
if (!_williams.IsFormed)
return;
var wprValue = williamsValue.ToDecimal();
// Williams %R ranges from -100 to 0; shift to 0..100
var normalized = wprValue + 100m;
var bullishLevel = 80m;
var bearishLevel = 20m;
var zone = normalized >= bullishLevel ? 1 : normalized <= bearishLevel ? -1 : 0;
if (_previousZone == null)
{
_previousZone = zone;
return;
}
if (_previousZone.Value != zone && _cooldownRemaining == 0 && Position == 0)
{
if (zone > 0 && EnableLongEntries)
{
BuyMarket();
_cooldownRemaining = SignalCooldownBars;
}
else if (zone < 0 && EnableShortEntries)
{
SellMarket();
_cooldownRemaining = SignalCooldownBars;
}
}
_previousZone = zone;
}
private decimal GetWeightedVolume(ICandleMessage candle)
{
if (VolumeSource == VolumeSources.Tick && candle.TotalTicks is int ticks && ticks > 0)
return ticks;
return candle.TotalVolume > 0m ? candle.TotalVolume : 1m;
}
private static DecimalLengthIndicator CreateMovingAverage(MovingAverageKinds type, int length)
{
return type switch
{
MovingAverageKinds.Simple => new SMA { Length = length },
MovingAverageKinds.Exponential => new EMA { Length = length },
MovingAverageKinds.Smoothed => new SmoothedMovingAverage { Length = length },
MovingAverageKinds.Weighted => new WeightedMovingAverage { Length = length },
MovingAverageKinds.Hull => new HullMovingAverage { Length = length },
MovingAverageKinds.VolumeWeighted => new VolumeWeightedMovingAverage { Length = length },
MovingAverageKinds.DoubleExponential => new DoubleExponentialMovingAverage { Length = length },
MovingAverageKinds.TripleExponential => new TripleExponentialMovingAverage { Length = length },
_ => new SMA { Length = length },
};
}
public enum MovingAverageKinds
{
Simple,
Exponential,
Smoothed,
Weighted,
Hull,
VolumeWeighted,
DoubleExponential,
TripleExponential,
}
public enum VolumeSources
{
Tick,
Real,
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import WilliamsR, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
class exp_xwpr_histogram_vol_direct_strategy(Strategy):
def __init__(self):
super(exp_xwpr_histogram_vol_direct_strategy, self).__init__()
self._williams_period = self.Param("WilliamsPeriod", 14) \
.SetDisplay("Williams %R Period", "Lookback for the Williams %R oscillator", "Indicator")
self._signal_cooldown_bars = self.Param("SignalCooldownBars", 5) \
.SetDisplay("Signal Cooldown", "Bars to wait between new entries", "Trading Rules")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle type used for analysis", "General")
self._williams = None
self._previous_zone = None
self._cooldown_remaining = 0
@property
def CandleType(self):
return self._candle_type.Value
@property
def WilliamsPeriod(self):
return self._williams_period.Value
@property
def SignalCooldownBars(self):
return self._signal_cooldown_bars.Value
def OnReseted(self):
super(exp_xwpr_histogram_vol_direct_strategy, self).OnReseted()
self._williams = None
self._previous_zone = None
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(exp_xwpr_histogram_vol_direct_strategy, self).OnStarted2(time)
self._williams = WilliamsR()
self._williams.Length = self.WilliamsPeriod
self._previous_zone = None
self._cooldown_remaining = 0
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._on_process).Start()
self.StartProtection(Unit(2, UnitTypes.Percent), Unit(1, UnitTypes.Percent))
def _on_process(self, candle):
if candle.State != CandleStates.Finished:
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
williams_value = self._williams.Process(CandleIndicatorValue(self._williams, candle))
if not self._williams.IsFormed:
return
wpr_value = float(williams_value)
normalized = wpr_value + 100.0
bullish_level = 80.0
bearish_level = 20.0
if normalized >= bullish_level:
zone = 1
elif normalized <= bearish_level:
zone = -1
else:
zone = 0
if self._previous_zone is None:
self._previous_zone = zone
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._previous_zone = zone
return
if self._previous_zone != zone and self._cooldown_remaining == 0 and self.Position == 0:
if zone > 0:
self.BuyMarket()
self._cooldown_remaining = self.SignalCooldownBars
elif zone < 0:
self.SellMarket()
self._cooldown_remaining = self.SignalCooldownBars
self._previous_zone = zone
def CreateClone(self):
return exp_xwpr_histogram_vol_direct_strategy()