ユニバーサル・インベスター戦略
概要
ユニバーサル・インベスター戦略は、指数移動平均 (EMA) と線形加重移動平均 (LWMA) のクロスオーバーを使用して市場の方向性を決定します。両平均が同じ方向に動いていることを確認することでトレンドの強さを確認します。
ロジック
- 買いエントリー: LWMAがEMAより上にあり、両平均とも上昇している。
- 売りエントリー: LWMAがEMAより下にあり、両平均とも下落している。
- 買い決済: LWMAがEMAを下抜け。
- 売り決済: LWMAがEMAを上抜け。
減少係数が有効な場合、連続した負けトレードの後にポジションサイズを縮小します。
パラメーター
| 名前 | 説明 |
|---|---|
MovingPeriod |
EMAおよびLWMA計算の長さ。 |
DecreaseFactor |
損失後のロット削減係数(0で削減を無効化)。 |
CandleType |
計算用のローソク足データタイプ。 |
Volume |
戦略設定からの基本取引量。 |
注意事項
- 完成したローソク足のみで動作。
- インジケーターバインディングを使用したStockSharpのハイレベルAPI使用。
- Pythonバージョンは提供されていません。
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()