Стратегия Adaptive RSI
Стратегия Adaptive RSI вычисляет коэффициент сглаживания на основе индекса относительной силы. Когда RSI удаляется от нейтрального уровня 50, коэффициент возрастает и индикатор плотнее следует за ценой. Вблизи 50 коэффициент уменьшается, и кривая сглаживается. Длинная позиция открывается при развороте индикатора вверх, короткая — при развороте вниз.
Подробности
- Условия входа:
- Adaptive RSI пересекает своё предыдущее значение снизу вверх.
- Adaptive RSI пересекает своё предыдущее значение сверху вниз.
- Направление: Лонг и шорт.
- Условия выхода:
- Противоположный сигнал.
- Стопы: Нет.
- Параметры по умолчанию:
Length= 14
- Фильтры:
- Категория: Моментум
- Направление: Оба
- Индикаторы: RSI
- Стопы: Нет
- Сложность: Низкая
- Таймфрейм: Любой
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Низкий
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Adaptive RSI Strategy - uses RSI to compute adaptive smoothing factor,
/// trades on turns (local min/max) of the adaptive RSI line.
/// </summary>
public class AdaptiveRsiStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _length;
private readonly StrategyParam<int> _cooldownBars;
private decimal? _arsiPrev;
private decimal? _arsiPrevPrev;
private int _cooldownRemaining;
public AdaptiveRsiStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle type", "Candle type for strategy calculation.", "General");
_length = Param(nameof(Length), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "Parameters");
_cooldownBars = Param(nameof(CooldownBars), 15)
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int Length
{
get => _length.Value;
set => _length.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_arsiPrev = null;
_arsiPrevPrev = null;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = Length };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var alpha = 2m * Math.Abs(rsiValue / 100m - 0.5m);
var src = candle.ClosePrice;
var prev = _arsiPrev ?? src;
var arsi = alpha * src + (1 - alpha) * prev;
if (_arsiPrevPrev is not null)
{
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_arsiPrevPrev = _arsiPrev;
_arsiPrev = arsi;
return;
}
var longCondition = _arsiPrev <= _arsiPrevPrev && arsi > _arsiPrev;
var shortCondition = _arsiPrev >= _arsiPrevPrev && arsi < _arsiPrev;
if (longCondition && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
else if (shortCondition && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
}
_arsiPrevPrev = _arsiPrev;
_arsiPrev = arsi;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class adaptive_rsi_strategy(Strategy):
"""Adaptive RSI Strategy."""
def __init__(self):
super(adaptive_rsi_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle type", "Candle type for strategy calculation.", "General")
self._length = self.Param("Length", 14) \
.SetDisplay("RSI Length", "RSI period", "Parameters")
self._cooldown_bars = self.Param("CooldownBars", 15) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._arsi_prev = None
self._arsi_prev_prev = None
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(adaptive_rsi_strategy, self).OnReseted()
self._arsi_prev = None
self._arsi_prev_prev = None
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(adaptive_rsi_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = int(self._length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _on_process(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
rsi_v = float(rsi_value)
alpha = 2.0 * abs(rsi_v / 100.0 - 0.5)
src = float(candle.ClosePrice)
prev = self._arsi_prev if self._arsi_prev is not None else src
arsi = alpha * src + (1 - alpha) * prev
cooldown = int(self._cooldown_bars.Value)
if self._arsi_prev_prev is not None:
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._arsi_prev_prev = self._arsi_prev
self._arsi_prev = arsi
return
long_condition = self._arsi_prev <= self._arsi_prev_prev and arsi > self._arsi_prev
short_condition = self._arsi_prev >= self._arsi_prev_prev and arsi < self._arsi_prev
if long_condition and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif short_condition and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
self._arsi_prev_prev = self._arsi_prev
self._arsi_prev = arsi
def CreateClone(self):
return adaptive_rsi_strategy()