Стратегия Linear Correlation Oscillator
Стратегия Linear Correlation Oscillator измеряет корреляцию между ценой и временем на скользящем окне. Стратегия открывает длинную позицию, когда осциллятор пересекает ноль снизу вверх, и короткую, когда пересекает сверху вниз.
Детали
- Условия входа:
- Осциллятор пересекает ноль снизу вверх → Long.
- Осциллятор пересекает ноль сверху вниз → Short.
- Long/Short: обе стороны.
- Условия выхода:
- Обратное пересечение нуля.
- Стопы: нет.
- Значения по умолчанию:
Length= 14
- Фильтры:
- Категория: Осцилляторы
- Направление: оба
- Индикаторы: Linear Correlation
- Стопы: нет
- Сложность: низкая
- Таймфрейм: любой
- 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>
/// Linear Correlation Oscillator strategy.
/// Goes long when correlation crosses above zero and shorts on cross below.
/// </summary>
public class LinearCorrelationOscillatorStrategy : Strategy
{
private readonly StrategyParam<int> _length;
private readonly StrategyParam<decimal> _entryLevel;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal[] _prices;
private int _index;
private decimal _prevCorrelation;
private int _barsFromSignal;
/// <summary>
/// Lookback period for correlation calculation.
/// </summary>
public int Length
{
get => _length.Value;
set
{
_length.Value = value;
_prices = new decimal[value];
}
}
/// <summary>
/// Absolute correlation level required to open a position.
/// </summary>
public decimal EntryLevel
{
get => _entryLevel.Value;
set => _entryLevel.Value = value;
}
/// <summary>
/// Minimum number of bars between entry signals.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type used for processing.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public LinearCorrelationOscillatorStrategy()
{
_length = Param(nameof(Length), 20)
.SetGreaterThanZero()
.SetDisplay("Length", "Lookback length", "General")
.SetOptimize(18, 60, 2);
_entryLevel = Param(nameof(EntryLevel), 0.08m)
.SetGreaterThanZero()
.SetDisplay("Entry Level", "Absolute level required for entry", "General")
.SetOptimize(0.10m, 0.40m, 0.05m);
_cooldownBars = Param(nameof(CooldownBars), 4)
.SetGreaterThanZero()
.SetDisplay("Cooldown Bars", "Bars between entry signals", "General")
.SetOptimize(4, 20, 1);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle type", "Candle type", "General");
_prices = new decimal[Length];
_barsFromSignal = CooldownBars;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prices = new decimal[Length];
_index = 0;
_prevCorrelation = 0m;
_barsFromSignal = CooldownBars;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var dummyEma1 = new ExponentialMovingAverage { Length = 10 };
var dummyEma2 = new ExponentialMovingAverage { Length = 20 };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(dummyEma1, dummyEma2, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal d1, decimal d2)
{
if (candle.State != CandleStates.Finished)
return;
_prices[_index % Length] = candle.ClosePrice;
_index++;
if (_index < Length)
{
_prevCorrelation = 0m;
return;
}
var correlation = CalculateCorrelation();
_barsFromSignal++;
if (_barsFromSignal >= CooldownBars)
{
if (_prevCorrelation <= EntryLevel && correlation > EntryLevel && Position <= 0)
{
BuyMarket();
_barsFromSignal = 0;
}
else if (_prevCorrelation >= -EntryLevel && correlation < -EntryLevel && Position >= 0)
{
SellMarket();
_barsFromSignal = 0;
}
}
_prevCorrelation = correlation;
}
private decimal CalculateCorrelation()
{
var n = Length;
decimal sumY = 0m;
decimal sumY2 = 0m;
decimal sumXY = 0m;
for (var i = 0; i < n; i++)
{
var price = _prices[( _index - n + i) % n];
var x = i + 1;
sumY += price;
sumY2 += price * price;
sumXY += price * x;
}
var sumX = n * (n + 1m) / 2m;
var sumX2 = n * (n + 1m) * (2m * n + 1m) / 6m;
var numerator = n * sumXY - sumX * sumY;
var denominator = (decimal)Math.Sqrt((double)((n * sumX2 - sumX * sumX) * (n * sumY2 - sumY * sumY)));
return denominator == 0m ? 0m : numerator / denominator;
}
}
import clr
import math
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.Strategies import Strategy
class linear_correlation_oscillator_strategy(Strategy):
"""
Linear correlation oscillator: computes Pearson correlation of price
vs time index. Goes long when crossing above entry level, short below.
"""
def __init__(self):
super(linear_correlation_oscillator_strategy, self).__init__()
self._length = self.Param("Length", 20) \
.SetDisplay("Length", "Lookback length", "General")
self._entry_level = self.Param("EntryLevel", 0.08) \
.SetDisplay("Entry Level", "Absolute level for entry", "General")
self._cooldown_bars = self.Param("CooldownBars", 4) \
.SetDisplay("Cooldown Bars", "Bars between entry signals", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prices = []
self._prev_correlation = 0.0
self._bars_from_signal = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(linear_correlation_oscillator_strategy, self).OnReseted()
self._prices = []
self._prev_correlation = 0.0
self._bars_from_signal = self._cooldown_bars.Value
def OnStarted2(self, time):
super(linear_correlation_oscillator_strategy, self).OnStarted2(time)
self._bars_from_signal = self._cooldown_bars.Value
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
length = self._length.Value
self._prices.append(float(candle.ClosePrice))
if len(self._prices) > length:
self._prices.pop(0)
if len(self._prices) < length:
return
correlation = self._calculate_correlation()
self._bars_from_signal += 1
entry = self._entry_level.Value
if self._bars_from_signal >= self._cooldown_bars.Value:
if self._prev_correlation <= entry and correlation > entry and self.Position <= 0:
self.BuyMarket()
self._bars_from_signal = 0
elif self._prev_correlation >= -entry and correlation < -entry and self.Position >= 0:
self.SellMarket()
self._bars_from_signal = 0
self._prev_correlation = correlation
def _calculate_correlation(self):
n = len(self._prices)
sum_y = 0.0
sum_y2 = 0.0
sum_xy = 0.0
for i in range(n):
y = self._prices[i]
x = i + 1
sum_y += y
sum_y2 += y * y
sum_xy += y * x
sum_x = n * (n + 1.0) / 2.0
sum_x2 = n * (n + 1.0) * (2.0 * n + 1.0) / 6.0
numerator = n * sum_xy - sum_x * sum_y
denom_sq = (n * sum_x2 - sum_x * sum_x) * (n * sum_y2 - sum_y * sum_y)
if denom_sq <= 0:
return 0.0
denominator = math.sqrt(denom_sq)
return numerator / denominator if denominator != 0 else 0.0
def CreateClone(self):
return linear_correlation_oscillator_strategy()