Well Martin 策略
概述
Well Martin 是一种均值回归策略,结合了布林带 (Bollinger Bands) 和平均趋向指数 (ADX)。当价格跌破下轨且趋势强度较弱时买入;当价格升破上轨且趋势强度较弱时卖出。持仓在触及相反轨道或达到预设止盈/止损时平仓。
参数
- CandleType – 计算使用的K线类型。
- BollingerPeriod – 布林带周期。
- BollingerWidth – 布林带标准差乘数。
- AdxPeriod – ADX 指标周期。
- AdxLevel – ADX 阈值,仅在值低于该阈值时才开仓。
- Volume – 每次交易的数量。
- TakeProfit – 以价格单位表示的止盈。
- StopLoss – 以价格单位表示的止损。
逻辑
- 订阅K线并计算布林带和ADX。
- 无持仓时:
- 当收盘价低于下轨且 ADX 低于阈值时买入。
- 当收盘价高于上轨且 ADX 低于阈值时卖出。
- 记录上一次成交方向,仅允许在相同方向或无成交时再次入场。
- 多头持仓:若价格触及上轨、达到止盈或止损则平仓。
- 空头持仓:若价格触及下轨、达到止盈或止损则平仓。
说明
当前实现使用固定交易数量。原始 MQL 版本在亏损后会增加交易量,如有需要可在未来加入该特性。
using System;
using System.Collections.Generic;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Mean-reversion Bollinger entries gated by formed ADX; the last executed
/// entry direction limits later entries. Native SL/TP uses real entry fills.
/// </summary>
public class WellMartinStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerWidth;
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<decimal> _adxLevel;
private readonly StrategyParam<decimal> _takeProfit;
private readonly StrategyParam<decimal> _stopLoss;
private readonly Queue<decimal> _closes = new();
private Order _pending, _entryOrder;
private Sides? _lastExecutedEntrySide;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int BollingerPeriod { get => _bollingerPeriod.Value; set => _bollingerPeriod.Value = value; }
public decimal BollingerWidth { get => _bollingerWidth.Value; set => _bollingerWidth.Value = value; }
public int AdxPeriod { get => _adxPeriod.Value; set => _adxPeriod.Value = value; }
public decimal AdxLevel { get => _adxLevel.Value; set => _adxLevel.Value = value; }
public decimal TakeProfit { get => _takeProfit.Value; set => _takeProfit.Value = value; }
public decimal StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public WellMartinStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Signal candle timeframe", "General");
_bollingerPeriod = Param(nameof(BollingerPeriod), 84).SetGreaterThanZero()
.SetDisplay("Bollinger Period", "Mean and deviation period", "Indicator");
_bollingerWidth = Param(nameof(BollingerWidth), 1.8m).SetGreaterThanZero()
.SetDisplay("Bollinger Width", "Deviation multiplier", "Indicator");
_adxPeriod = Param(nameof(AdxPeriod), 14).SetGreaterThanZero()
.SetDisplay("ADX Period", "Trend strength smoothing period", "Indicator");
_adxLevel = Param(nameof(AdxLevel), 25m).SetNotNegative()
.SetDisplay("ADX Level", "Maximum allowed trend strength", "Indicator");
_takeProfit = Param(nameof(TakeProfit), 1200m).SetNotNegative()
.SetDisplay("Take Profit", "Price-unit target", "Risk");
_stopLoss = Param(nameof(StopLoss), 1400m).SetNotNegative()
.SetDisplay("Stop Loss", "Price-unit risk", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_closes.Clear();
_pending = _entryOrder = null;
_lastExecutedEntrySide = null;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_closes.Clear();
_pending = _entryOrder = null;
_lastExecutedEntrySide = null;
StartProtection(
takeProfit: new Unit(TakeProfit, UnitTypes.Absolute),
stopLoss: new Unit(StopLoss, UnitTypes.Absolute));
var adx = new AverageDirectionalIndex { Length = AdxPeriod };
SubscribeCandles(CandleType).BindEx(adx, ProcessCandle).Start();
}
protected override void OnOwnTradeReceived(MyTrade trade)
{
base.OnOwnTradeReceived(trade);
// Submitted orders are not fills: direction changes only after own trade execution.
if (trade.Order is not null && trade.Order == _entryOrder)
_lastExecutedEntrySide = trade.Order.Side;
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue adxValue)
{
if (candle.State != CandleStates.Finished)
return;
_closes.Enqueue(candle.ClosePrice);
if (_closes.Count > BollingerPeriod)
_closes.Dequeue();
if (_closes.Count < BollingerPeriod)
return;
if (!adxValue.IsFormed || adxValue is not AverageDirectionalIndexValue adx
|| adx.MovingAverage is not decimal strength)
return;
var mean = _closes.Average();
var variance = _closes.Average(price => (price - mean) * (price - mean));
var deviation = (decimal)Math.Sqrt((double)variance);
var lower = mean - BollingerWidth * deviation;
var upper = mean + BollingerWidth * deviation;
if (!IsFormedAndOnlineAndAllowTrading()
|| (_pending is not null && _pending.State is not (OrderStates.Done or OrderStates.Failed)))
return;
if (Position > 0m)
{
if (candle.ClosePrice >= upper)
_pending = SellMarket(Math.Abs(Position));
return;
}
if (Position < 0m)
{
if (candle.ClosePrice <= lower)
_pending = BuyMarket(Math.Abs(Position));
return;
}
if (strength >= AdxLevel)
return;
if (candle.ClosePrice < lower
&& (_lastExecutedEntrySide is null || _lastExecutedEntrySide == Sides.Buy))
{
_entryOrder = _pending = BuyMarket(Volume);
}
else if (candle.ClosePrice > upper
&& (_lastExecutedEntrySide is null || _lastExecutedEntrySide == Sides.Sell))
{
_entryOrder = _pending = SellMarket(Volume);
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates, OrderStates, Sides, Unit, UnitTypes
from StockSharp.Algo.Indicators import AverageDirectionalIndex
from StockSharp.Algo.Strategies import Strategy
class well_martin_strategy(Strategy):
"""Bollinger mean reversion, low ADX filter, actual-fill direction and native protection."""
def __init__(self):
super(well_martin_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Signal timeframe", "General")
self._bollinger_period = self.Param("BollingerPeriod", 84).SetGreaterThanZero() \
.SetDisplay("Bollinger Period", "Mean and deviation period", "Indicator")
self._bollinger_width = self.Param("BollingerWidth", 1.8).SetGreaterThanZero() \
.SetDisplay("Bollinger Width", "Deviation multiplier", "Indicator")
self._adx_period = self.Param("AdxPeriod", 14).SetGreaterThanZero() \
.SetDisplay("ADX Period", "Trend strength smoothing", "Indicator")
self._adx_level = self.Param("AdxLevel", 25.0).SetNotNegative() \
.SetDisplay("ADX Level", "Maximum trend strength", "Indicator")
self._take_profit = self.Param("TakeProfit", 1200.0).SetNotNegative() \
.SetDisplay("Take Profit", "Price-unit target", "Risk")
self._stop_loss = self.Param("StopLoss", 1400.0).SetNotNegative() \
.SetDisplay("Stop Loss", "Price-unit risk", "Risk")
self._reset_history()
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def _reset_history(self):
self._closes = []
self._pending = None
self._entry_order = None
self._last_executed_entry_side = None
def OnReseted(self):
super(well_martin_strategy, self).OnReseted()
self._reset_history()
def OnStarted2(self, time):
super(well_martin_strategy, self).OnStarted2(time)
self._reset_history()
self.StartProtection(
takeProfit=Unit(self._take_profit.Value, UnitTypes.Absolute),
stopLoss=Unit(self._stop_loss.Value, UnitTypes.Absolute))
adx = AverageDirectionalIndex()
adx.Length = int(self._adx_period.Value)
self.SubscribeCandles(self.CandleType).BindEx(adx, self.ProcessCandle).Start()
def OnOwnTradeReceived(self, trade):
super(well_martin_strategy, self).OnOwnTradeReceived(trade)
if trade.Order is not None and trade.Order == self._entry_order:
self._last_executed_entry_side = trade.Order.Side
def ProcessCandle(self, candle, adx_value):
if candle.State != CandleStates.Finished:
return
length = int(self._bollinger_period.Value)
self._closes.append(float(candle.ClosePrice))
if len(self._closes) > length:
self._closes.pop(0)
if len(self._closes) < length or not adx_value.IsFormed:
return
strength_raw = adx_value.MovingAverage
if strength_raw is None:
return
strength = float(strength_raw)
mean = sum(self._closes) / length
variance = sum((price - mean) ** 2 for price in self._closes) / length
deviation = variance ** 0.5
lower = mean - float(self._bollinger_width.Value) * deviation
upper = mean + float(self._bollinger_width.Value) * deviation
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._pending is not None and self._pending.State not in (OrderStates.Done, OrderStates.Failed):
return
price = float(candle.ClosePrice)
if self.Position > 0:
if price >= upper:
self._pending = self.SellMarket(abs(self.Position))
return
if self.Position < 0:
if price <= lower:
self._pending = self.BuyMarket(abs(self.Position))
return
if strength >= float(self._adx_level.Value):
return
if price < lower and self._last_executed_entry_side in (None, Sides.Buy):
self._entry_order = self._pending = self.BuyMarket(self.Volume)
elif price > upper and self._last_executed_entry_side in (None, Sides.Sell):
self._entry_order = self._pending = self.SellMarket(self.Volume)
def CreateClone(self):
return well_martin_strategy()