RSI Stochastic MA戦略
この戦略は単純移動平均(SMA)トレンドフィルターをRSIおよびStochasticオシレーターと組み合わせます。 移動平均が市場のバイアスを定義します。価格がSMAより上にある場合、戦略はロングエントリーを探し、 SMAより下にある場合はショートエントリーを探します。RSIとStochasticのレベルが売られすぎや 買われすぎの状態を識別してエントリーのタイミングを計ります。
オシレーターが極端なゾーンを抜けるとポジションがクローズされます。これにより取引は 支配的なトレンドに沿って維持され、インジケーターに対する延長した逆行を避けます。
パラメーター
RsiPeriod– RSI計算期間。RsiUpperLevel– RSI買われすぎしきい値。RsiLowerLevel– RSI売られすぎしきい値。MaPeriod– トレンド移動平均の期間。StochKPeriod– Stochasticオシレーターの%K期間。StochDPeriod– Stochasticオシレーターの%Dスムーシング期間。StochUpperLevel– Stochasticの買われすぎレベル。StochLowerLevel– Stochasticの売られすぎレベル。Volume– 注文数量。CandleType– 計算に使用するローソク足データタイプ。
インジケーター
- 単純移動平均
- 相対力指数
- Stochasticオシレーター
取引ルール
- 買い: 価格がSMAを上回り、RSIが
RsiLowerLevel以下で、両方のStochastic線がStochLowerLevel以下のとき。 - 売り: 価格がSMAを下回り、RSIが
RsiUpperLevel以上で、両方のStochastic線がStochUpperLevel以上のとき。 - ロングをクローズ: RSIまたはStochasticが上限レベルを上抜けたとき。
- ショートをクローズ: RSIまたはStochasticが下限レベルを下抜けたとき。
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>
/// Combined RSI, Stochastic, and Moving Average strategy.
/// The MA defines the trend. Entries on RSI+Stochastic oversold/overbought in trend direction.
/// </summary>
public class RsiStochasticMaStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiUpperLevel;
private readonly StrategyParam<decimal> _rsiLowerLevel;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<decimal> _stochUpperLevel;
private readonly StrategyParam<decimal> _stochLowerLevel;
private readonly StrategyParam<decimal> _stopLossPct;
private readonly StrategyParam<decimal> _takeProfitPct;
private readonly StrategyParam<DataType> _candleType;
private StochasticOscillator _stochastic;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal RsiUpperLevel { get => _rsiUpperLevel.Value; set => _rsiUpperLevel.Value = value; }
public decimal RsiLowerLevel { get => _rsiLowerLevel.Value; set => _rsiLowerLevel.Value = value; }
public int MaPeriod { get => _maPeriod.Value; set => _maPeriod.Value = value; }
public decimal StochUpperLevel { get => _stochUpperLevel.Value; set => _stochUpperLevel.Value = value; }
public decimal StochLowerLevel { get => _stochLowerLevel.Value; set => _stochLowerLevel.Value = value; }
public decimal StopLossPct { get => _stopLossPct.Value; set => _stopLossPct.Value = value; }
public decimal TakeProfitPct { get => _takeProfitPct.Value; set => _takeProfitPct.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public RsiStochasticMaStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 3)
.SetDisplay("RSI Period", "RSI calculation period", "RSI");
_rsiUpperLevel = Param(nameof(RsiUpperLevel), 65m)
.SetDisplay("RSI Upper Level", "RSI overbought level", "RSI");
_rsiLowerLevel = Param(nameof(RsiLowerLevel), 35m)
.SetDisplay("RSI Lower Level", "RSI oversold level", "RSI");
_maPeriod = Param(nameof(MaPeriod), 20)
.SetDisplay("MA Period", "Moving average period", "Trend");
_stochUpperLevel = Param(nameof(StochUpperLevel), 60m)
.SetDisplay("Stochastic Upper", "Stochastic overbought level", "Stochastic");
_stochLowerLevel = Param(nameof(StochLowerLevel), 40m)
.SetDisplay("Stochastic Lower", "Stochastic oversold level", "Stochastic");
_stopLossPct = Param(nameof(StopLossPct), 2m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_takeProfitPct = Param(nameof(TakeProfitPct), 3m)
.SetDisplay("Take Profit %", "Take profit percentage", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_stochastic = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var ma = new ExponentialMovingAverage { Length = MaPeriod };
_stochastic = new StochasticOscillator();
Indicators.Add(_stochastic);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ma, rsi, (candle, maValue, rsiValue) =>
{
if (candle.State != CandleStates.Finished)
return;
var stochResult = _stochastic.Process(candle);
if (!_stochastic.IsFormed)
return;
var stochVal = (StochasticOscillatorValue)stochResult;
if (stochVal.K is not decimal k || stochVal.D is not decimal d)
return;
var price = candle.ClosePrice;
var isUpTrend = price > maValue;
var isDownTrend = price < maValue;
if (isUpTrend && rsiValue < RsiLowerLevel && k < StochLowerLevel && Position == 0)
{
BuyMarket();
}
else if (isDownTrend && rsiValue > RsiUpperLevel && k > StochUpperLevel && Position == 0)
{
SellMarket();
}
})
.Start();
StartProtection(
takeProfit: new Unit(TakeProfitPct, UnitTypes.Percent),
stopLoss: new Unit(StopLossPct, UnitTypes.Percent),
useMarketOrders: true);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import RelativeStrengthIndex, ExponentialMovingAverage, StochasticOscillator, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
class rsi_stochastic_ma_strategy(Strategy):
def __init__(self):
super(rsi_stochastic_ma_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 3) \
.SetDisplay("RSI Period", "RSI calculation period", "RSI")
self._rsi_upper_level = self.Param("RsiUpperLevel", 65.0) \
.SetDisplay("RSI Upper Level", "RSI overbought level", "RSI")
self._rsi_lower_level = self.Param("RsiLowerLevel", 35.0) \
.SetDisplay("RSI Lower Level", "RSI oversold level", "RSI")
self._ma_period = self.Param("MaPeriod", 20) \
.SetDisplay("MA Period", "Moving average period", "Trend")
self._stoch_upper_level = self.Param("StochUpperLevel", 60.0) \
.SetDisplay("Stochastic Upper", "Stochastic overbought level", "Stochastic")
self._stoch_lower_level = self.Param("StochLowerLevel", 40.0) \
.SetDisplay("Stochastic Lower", "Stochastic oversold level", "Stochastic")
self._stop_loss_pct = self.Param("StopLossPct", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._take_profit_pct = self.Param("TakeProfitPct", 3.0) \
.SetDisplay("Take Profit %", "Take profit percentage", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._stochastic = None
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def rsi_upper_level(self):
return self._rsi_upper_level.Value
@property
def rsi_lower_level(self):
return self._rsi_lower_level.Value
@property
def ma_period(self):
return self._ma_period.Value
@property
def stoch_upper_level(self):
return self._stoch_upper_level.Value
@property
def stoch_lower_level(self):
return self._stoch_lower_level.Value
@property
def stop_loss_pct(self):
return self._stop_loss_pct.Value
@property
def take_profit_pct(self):
return self._take_profit_pct.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_stochastic_ma_strategy, self).OnReseted()
self._stochastic = None
def OnStarted2(self, time):
super(rsi_stochastic_ma_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
ma = ExponentialMovingAverage()
ma.Length = self.ma_period
self._stochastic = StochasticOscillator()
self.Indicators.Add(self._stochastic)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ma, rsi, self.on_candle).Start()
self.StartProtection(
takeProfit=Unit(self.take_profit_pct, UnitTypes.Percent),
stopLoss=Unit(self.stop_loss_pct, UnitTypes.Percent),
useMarketOrders=True)
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ma)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def on_candle(self, candle, ma_value, rsi_value):
if candle.State != CandleStates.Finished:
return
cv = CandleIndicatorValue(self._stochastic, candle)
stoch_result = self._stochastic.Process(cv)
if not self._stochastic.IsFormed:
return
k = stoch_result.K
d = stoch_result.D
if k is None or d is None:
return
k = float(k)
ma_value = float(ma_value)
rsi_value = float(rsi_value)
price = float(candle.ClosePrice)
is_up_trend = price > ma_value
is_down_trend = price < ma_value
if is_up_trend and rsi_value < float(self.rsi_lower_level) and k < float(self.stoch_lower_level) and self.Position == 0:
self.BuyMarket()
elif is_down_trend and rsi_value > float(self.rsi_upper_level) and k > float(self.stoch_upper_level) and self.Position == 0:
self.SellMarket()
def CreateClone(self):
return rsi_stochastic_ma_strategy()