最適ドルコスト平均法戦略
この戦略は、ユーザー定義の開始日と終了日の間に、定期的に固定金額を投資することでポジションを積み上げます。価格に関わらず選択した時間軸の終値で各購入が行われ、古典的なドルコスト平均法のアプローチを実装します。
詳細
- エントリー条件:
- 開始日と終了日の間の各インターバル(日次、週次、または月次)に、 設定された金額で終値にて購入。
- ロング/ショート: ロングのみ。
- エグジット条件:
- ポジションは保持され、自動エグジットロジックは含まれない。
- ストップ: なし。
- デフォルト値:
- 期間あたりの金額 = 100。
- インターバル = 週次。
- 開始日 = 2018-01-01、終了日 = 2020-01-28。
- フィルター:
- カテゴリ: 積立。
- 方向: ロングのみ。
- インジケーター: なし。
- ストップ: いいえ。
- 複雑さ: 低。
- 時間軸: 任意。
- 季節性: いいえ。
- ニューラルネットワーク: いいえ。
- ダイバージェンス: いいえ。
- リスクレベル: 低。
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>
/// Dollar Cost Average strategy — accumulates position at regular intervals,
/// sells on RSI overbought with forced sell after max accumulation period.
/// </summary>
public class BestDollarCostAverageStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _buyIntervalBars;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiSellLevel;
private readonly StrategyParam<int> _maxAccumulationBars;
private RelativeStrengthIndex _rsi;
private int _barsSinceLastBuy;
private int _totalBarsInPosition;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int BuyIntervalBars { get => _buyIntervalBars.Value; set => _buyIntervalBars.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal RsiSellLevel { get => _rsiSellLevel.Value; set => _rsiSellLevel.Value = value; }
public int MaxAccumulationBars { get => _maxAccumulationBars.Value; set => _maxAccumulationBars.Value = value; }
public BestDollarCostAverageStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_buyIntervalBars = Param(nameof(BuyIntervalBars), 350)
.SetGreaterThanZero()
.SetDisplay("Buy Interval", "Bars between DCA buys", "DCA");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period for sell signal", "Indicators");
_rsiSellLevel = Param(nameof(RsiSellLevel), 60m)
.SetDisplay("RSI Sell Level", "RSI level to trigger sell", "Indicators");
_maxAccumulationBars = Param(nameof(MaxAccumulationBars), 1200)
.SetGreaterThanZero()
.SetDisplay("Max Accumulation", "Max bars before forced sell", "DCA");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_barsSinceLastBuy = 0;
_totalBarsInPosition = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
var rsiArea = CreateChartArea();
if (rsiArea != null)
{
DrawIndicator(rsiArea, _rsi);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_rsi.IsFormed)
return;
_barsSinceLastBuy++;
if (Position > 0)
_totalBarsInPosition++;
// Forced sell after max accumulation period
if (Position > 0 && _totalBarsInPosition >= MaxAccumulationBars)
{
SellMarket();
_totalBarsInPosition = 0;
_barsSinceLastBuy = 0;
return;
}
// Sell accumulated position when RSI is overbought
if (Position > 0 && rsiValue >= RsiSellLevel && _totalBarsInPosition >= BuyIntervalBars)
{
SellMarket();
_totalBarsInPosition = 0;
_barsSinceLastBuy = 0;
return;
}
// DCA buy at regular intervals
if (_barsSinceLastBuy >= BuyIntervalBars)
{
BuyMarket();
_barsSinceLastBuy = 0;
if (_totalBarsInPosition == 0)
_totalBarsInPosition = 1;
}
}
}
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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class best_dollar_cost_average_strategy(Strategy):
def __init__(self):
super(best_dollar_cost_average_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._buy_interval_bars = self.Param("BuyIntervalBars", 350) \
.SetGreaterThanZero() \
.SetDisplay("Buy Interval", "Bars between DCA buys", "DCA")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI Period", "RSI period for sell signal", "Indicators")
self._rsi_sell_level = self.Param("RsiSellLevel", 60.0) \
.SetDisplay("RSI Sell Level", "RSI level to trigger sell", "Indicators")
self._max_accumulation_bars = self.Param("MaxAccumulationBars", 1200) \
.SetGreaterThanZero() \
.SetDisplay("Max Accumulation", "Max bars before forced sell", "DCA")
self._bars_since_last_buy = 0
self._total_bars_in_position = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(best_dollar_cost_average_strategy, self).OnReseted()
self._bars_since_last_buy = 0
self._total_bars_in_position = 0
def OnStarted2(self, time):
super(best_dollar_cost_average_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
rsi_area = self.CreateChartArea()
if rsi_area is not None:
self.DrawIndicator(rsi_area, rsi)
def OnProcess(self, candle, rsi_val):
if candle.State != CandleStates.Finished:
return
rsi_v = float(rsi_val)
self._bars_since_last_buy += 1
if self.Position > 0:
self._total_bars_in_position += 1
max_acc = self._max_accumulation_bars.Value
if self.Position > 0 and self._total_bars_in_position >= max_acc:
self.SellMarket()
self._total_bars_in_position = 0
self._bars_since_last_buy = 0
return
sell_level = float(self._rsi_sell_level.Value)
interval = self._buy_interval_bars.Value
if self.Position > 0 and rsi_v >= sell_level and self._total_bars_in_position >= interval:
self.SellMarket()
self._total_bars_in_position = 0
self._bars_since_last_buy = 0
return
if self._bars_since_last_buy >= interval:
self.BuyMarket()
self._bars_since_last_buy = 0
if self._total_bars_in_position == 0:
self._total_bars_in_position = 1
def CreateClone(self):
return best_dollar_cost_average_strategy()