Стратегия ICAi
Стратегия основана на адаптивной скользящей средней ICAi. Индикатор сглаживает цену и изменяет наклон с учётом стандартного отклонения. Длинные позиции открываются при развороте индикатора вверх, короткие – при развороте вниз.
Алгоритм работает на любом рынке, где доступны свечные данные. По умолчанию используется таймфрейм 4 часа и период сглаживания 12.
Подробности
- Условия входа:
- Длинная:
Prev < PrevPrev && Current >= Prev - Короткая:
Prev > PrevPrev && Current <= Prev
- Длинная:
- Long/Short: Оба
- Условия выхода: противоположный сигнал
- Стопы: фиксированный стоп‑лосс и тейк‑профит по желанию
- Параметры по умолчанию:
Length= 12CandleType= TimeSpan.FromHours(4).TimeFrame()TakeProfit= 2000StopLoss= 1000
- Фильтры:
- Категория: Trend following
- Направление: Оба
- Индикаторы: ICAi
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Среднесрочный
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
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 ICAi adaptive moving average.
/// Computes an adaptive MA using SMA and StdDev, trades on slope reversal.
/// </summary>
public class ICaiStrategy : Strategy
{
private readonly StrategyParam<int> _length;
private readonly StrategyParam<DataType> _candleType;
private SimpleMovingAverage _ma;
private StandardDeviation _std;
private decimal? _prevIcai;
private decimal? _prevSlope;
public int Length
{
get => _length.Value;
set => _length.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public ICaiStrategy()
{
_length = Param(nameof(Length), 12)
.SetGreaterThanZero()
.SetDisplay("Length", "Indicator smoothing length", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_ma = null;
_std = null;
_prevIcai = null;
_prevSlope = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevIcai = null;
_prevSlope = null;
_ma = new SimpleMovingAverage { Length = Length };
_std = new StandardDeviation { Length = Length };
Indicators.Add(_ma);
Indicators.Add(_std);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var price = candle.ClosePrice;
var t = candle.OpenTime;
var maResult = _ma.Process(price, t, true);
var stdResult = _std.Process(price, t, true);
if (!_ma.IsFormed || !_std.IsFormed)
return;
var maVal = maResult.GetValue<decimal>();
var stdVal = stdResult.GetValue<decimal>();
var prev = _prevIcai ?? maVal;
var diff = prev - maVal;
var powDxma = diff * diff;
var powStd = stdVal * stdVal;
decimal koeff = 0m;
if (powDxma >= powStd && powDxma != 0m)
koeff = 1m - powStd / powDxma;
var icai = prev + koeff * (maVal - prev);
_prevIcai = icai;
if (_prevSlope is null)
{
_prevSlope = 0m;
return;
}
var slope = icai - prev;
// Slope reversal: was negative, now positive -> buy
if (_prevSlope <= 0 && slope > 0 && Position <= 0)
BuyMarket();
// Slope reversal: was positive, now negative -> sell
else if (_prevSlope >= 0 && slope < 0 && Position >= 0)
SellMarket();
_prevSlope = slope;
}
}
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 SimpleMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class icai_strategy(Strategy):
def __init__(self):
super(icai_strategy, self).__init__()
self._length = self.Param("Length", 12) \
.SetDisplay("Length", "Indicator smoothing length", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe for strategy", "General")
self._ma = None
self._std = None
self._prev_icai = None
self._prev_slope = None
@property
def length(self):
return self._length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(icai_strategy, self).OnReseted()
self._ma = None
self._std = None
self._prev_icai = None
self._prev_slope = None
def OnStarted2(self, time):
super(icai_strategy, self).OnStarted2(time)
self._prev_icai = None
self._prev_slope = None
self._ma = SimpleMovingAverage()
self._ma.Length = self.length
self._std = StandardDeviation()
self._std.Length = self.length
self.Indicators.Add(self._ma)
self.Indicators.Add(self._std)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
price = float(candle.ClosePrice)
t = candle.OpenTime
ma_result = process_float(self._ma, price, t, True)
std_result = process_float(self._std, price, t, True)
if not self._ma.IsFormed or not self._std.IsFormed:
return
ma_val = float(ma_result)
std_val = float(std_result)
prev = self._prev_icai if self._prev_icai is not None else ma_val
diff = prev - ma_val
pow_dxma = diff * diff
pow_std = std_val * std_val
koeff = 0.0
if pow_dxma >= pow_std and pow_dxma != 0.0:
koeff = 1.0 - pow_std / pow_dxma
icai = prev + koeff * (ma_val - prev)
self._prev_icai = icai
if self._prev_slope is None:
self._prev_slope = 0.0
return
slope = icai - prev
if self._prev_slope <= 0 and slope > 0 and self.Position <= 0:
self.BuyMarket()
elif self._prev_slope >= 0 and slope < 0 and self.Position >= 0:
self.SellMarket()
self._prev_slope = slope
def CreateClone(self):
return icai_strategy()