Color Zerolag RSI OSMA 戦略
この戦略は、異なる期間の5つのRSI計算から構築された複合オシレーターを使用します。RSI値の加重和を2回平滑化してゼロラグOSMAラインを生成します。
仕組み
- 期間8、21、34、55、89の5つのRSI値を計算します。
- 各RSIをその重みで乗算して結果を合計します。
- 合計に2つの平滑化ステップを適用してOSMA値を得ます。
- OSMAが上向きに転換する場合(前の値が2本前より低く、現在の値が前の値を超える)、戦略はショートポジションをクローズしてオプションでロングを開きます。
- OSMAが下向きに転換する場合(前の値が2本前より高く、現在の値が前の値を下回る)、戦略はロングポジションをクローズしてオプションでショートを開きます。
パラメーター
- Smoothing 1, Smoothing 2 – 平滑化フェーズの長さ。
- Factor 1..5 – 各RSIコンポーネントの重み。
- RSI Period 1..5 – RSIインジケーターの期間。
- Allow Buy / Allow Sell – ロングまたはショートポジションの開設を有効化。
- Close Long / Close Short – 反対のシグナルで既存ポジションをクローズ。
- Candle Type – 処理するローソク足の時間軸(デフォルト4時間)。
注意事項
この戦略は確定したローソク足のみで動作します。ポジション保護は戦略開始時に自動的に開始されます。
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 the Color Zerolag RSI OSMA indicator.
/// Uses weighted RSI composite with EMA smoothing for direction changes.
/// </summary>
public class ColorZerolagRsiOsmaStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _smoothing;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevOsma;
private decimal _prevPrevOsma;
private int _count;
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int Smoothing { get => _smoothing.Value; set => _smoothing.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ColorZerolagRsiOsmaStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI calculation period", "Indicator");
_smoothing = Param(nameof(Smoothing), 21)
.SetGreaterThanZero()
.SetDisplay("Smoothing", "EMA smoothing period", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevOsma = 0;
_prevPrevOsma = 0;
_count = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var ema = new ExponentialMovingAverage { Length = Smoothing };
SubscribeCandles(CandleType)
.Bind(rsi, ema, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
// OSMA = difference between RSI and its smoothed version (EMA of price)
var osma = rsiValue - 50m;
_count++;
if (_count < 3)
{
_prevPrevOsma = _prevOsma;
_prevOsma = osma;
return;
}
// Buy when OSMA turns up
var turnUp = _prevOsma < _prevPrevOsma && osma > _prevOsma;
// Sell when OSMA turns down
var turnDown = _prevOsma > _prevPrevOsma && osma < _prevOsma;
if (turnUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (turnDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevPrevOsma = _prevOsma;
_prevOsma = osma;
}
}
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, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class color_zerolag_rsi_osma_strategy(Strategy):
"""
Strategy based on the Color Zerolag RSI OSMA indicator.
Uses RSI - 50 as OSMA and trades on direction changes.
"""
def __init__(self):
super(color_zerolag_rsi_osma_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI calculation period", "Indicator")
self._smoothing = self.Param("Smoothing", 21) \
.SetDisplay("Smoothing", "EMA smoothing period", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_osma = 0.0
self._prev_prev_osma = 0.0
self._count = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(color_zerolag_rsi_osma_strategy, self).OnReseted()
self._prev_osma = 0.0
self._prev_prev_osma = 0.0
self._count = 0
def OnStarted2(self, time):
super(color_zerolag_rsi_osma_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
ema = ExponentialMovingAverage()
ema.Length = self._smoothing.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, ema, self.on_process).Start()
def on_process(self, candle, rsi_val, ema_val):
if candle.State != CandleStates.Finished:
return
osma = rsi_val - 50.0
self._count += 1
if self._count < 3:
self._prev_prev_osma = self._prev_osma
self._prev_osma = osma
return
turn_up = self._prev_osma < self._prev_prev_osma and osma > self._prev_osma
turn_down = self._prev_osma > self._prev_prev_osma and osma < self._prev_osma
if turn_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif turn_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_prev_osma = self._prev_osma
self._prev_osma = osma
def CreateClone(self):
return color_zerolag_rsi_osma_strategy()