Universal Investor Strategy
概述
Universal Investor Strategy 使用指数移动平均线(EMA)和线性加权移动平均线(LWMA)的交叉来判断市场方向,并确认两条均线的趋势一致性。
逻辑
- 买入:LWMA 在 EMA 之上且两条均线同时上升。
- 卖出:LWMA 在 EMA 之下且两条均线同时下降。
- 平多仓:LWMA 从上向下穿越 EMA。
- 平空仓:LWMA 从下向上穿越 EMA。
在启用减少系数时,连续亏损交易后仓位会减少。
参数
| 名称 | 说明 |
|---|---|
MovingPeriod |
EMA 和 LWMA 的计算周期。 |
DecreaseFactor |
亏损后减少仓位的系数(0 表示不启用)。 |
CandleType |
计算所用的蜡烛图类型。 |
Volume |
策略设置中的基础交易量。 |
备注
- 仅处理完成的蜡烛。
- 使用带指示器绑定的 StockSharp 高级 API。
- 未提供 Python 版本。
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 EMA and WMA crossover with trend confirmation.
/// </summary>
public class UniversalInvestorStrategy : Strategy
{
private readonly StrategyParam<int> _movingPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevEma;
private decimal _prevLwma;
private bool _hasPrev;
public int MovingPeriod { get => _movingPeriod.Value; set => _movingPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public UniversalInvestorStrategy()
{
_movingPeriod = Param(nameof(MovingPeriod), 23)
.SetGreaterThanZero()
.SetDisplay("Moving Period", "Smoothing period for EMA and WMA", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for calculations", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevEma = 0;
_prevLwma = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = MovingPeriod };
var lwma = new WeightedMovingAverage { Length = MovingPeriod };
SubscribeCandles(CandleType)
.Bind(ema, lwma, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue, decimal lwmaValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevEma = emaValue;
_prevLwma = lwmaValue;
_hasPrev = true;
return;
}
var openBuy = lwmaValue > emaValue && lwmaValue > _prevLwma && emaValue > _prevEma;
var openSell = lwmaValue < emaValue && lwmaValue < _prevLwma && emaValue < _prevEma;
var closeBuy = lwmaValue < emaValue;
var closeSell = lwmaValue > emaValue;
if (Position > 0 && closeBuy)
{
SellMarket();
}
else if (Position < 0 && closeSell)
{
BuyMarket();
}
else if (Position == 0)
{
if (openBuy && !closeBuy)
BuyMarket();
else if (openSell && !closeSell)
SellMarket();
}
_prevEma = emaValue;
_prevLwma = lwmaValue;
}
}
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 ExponentialMovingAverage, WeightedMovingAverage
from StockSharp.Algo.Strategies import Strategy
class universal_investor_strategy(Strategy):
def __init__(self):
super(universal_investor_strategy, self).__init__()
self._moving_period = self.Param("MovingPeriod", 23) \
.SetDisplay("Moving Period", "Smoothing period for EMA and WMA", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles for calculations", "General")
self._prev_ema = 0.0
self._prev_lwma = 0.0
self._has_prev = False
@property
def moving_period(self):
return self._moving_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(universal_investor_strategy, self).OnReseted()
self._prev_ema = 0.0
self._prev_lwma = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(universal_investor_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.moving_period
lwma = WeightedMovingAverage()
lwma.Length = self.moving_period
self.SubscribeCandles(self.candle_type).Bind(ema, lwma, self.process_candle).Start()
def process_candle(self, candle, ema_value, lwma_value):
if candle.State != CandleStates.Finished:
return
ev = float(ema_value)
lv = float(lwma_value)
if not self._has_prev:
self._prev_ema = ev
self._prev_lwma = lv
self._has_prev = True
return
open_buy = lv > ev and lv > self._prev_lwma and ev > self._prev_ema
open_sell = lv < ev and lv < self._prev_lwma and ev < self._prev_ema
close_buy = lv < ev
close_sell = lv > ev
if self.Position > 0 and close_buy:
self.SellMarket()
elif self.Position < 0 and close_sell:
self.BuyMarket()
elif self.Position == 0:
if open_buy and not close_buy:
self.BuyMarket()
elif open_sell and not close_sell:
self.SellMarket()
self._prev_ema = ev
self._prev_lwma = lv
def CreateClone(self):
return universal_investor_strategy()