Стратегия AFL Winner V2
Обзор
Пример стратегии повторяет логику индикатора AFL Winner V2 с использованием высокоуровневого API StockSharp. Индикатор аппроксимируется стохастическим осциллятором, а сигналы формируются на основе его положения относительно заданных уровней.
Логика стратегии
- Используется
StochasticOscillatorдля имитации поведения AFL Winner. - Открытие длинной позиции при сильном бычьем сигнале осциллятора.
- Открытие короткой позиции при сильном медвежьем сигнале.
- Закрытие длинных при снижении цвета ниже нейтральной зоны.
- Закрытие коротких при повышении цвета выше нейтральной зоны.
- Параметры позволяют оптимизировать периоды осциллятора и уровни порогов.
Параметры
| Параметр | Описание |
|---|---|
KPeriod |
Период %K стохастического осциллятора. |
DPeriod |
Период %D стохастического осциллятора. |
HighLevel |
Верхний уровень для бычьих сигналов. |
LowLevel |
Нижний уровень для медвежьих сигналов. |
Файлы
CS/AflWinnerV2Strategy.cs– реализация стратегии.
Примечания
Стратегия обрабатывает только завершённые свечи и использует защиту позиций для предотвращения нежелательных рисков.
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy based on the AFL Winner indicator approximation using a stochastic oscillator.
/// </summary>
public class AflWinnerV2Strategy : Strategy
{
private const int BufferSize = 64;
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<int> _dPeriod;
private readonly StrategyParam<decimal> _highLevel;
private readonly StrategyParam<decimal> _lowLevel;
private readonly StrategyParam<DataType> _candleType;
private readonly decimal[] _highs = new decimal[BufferSize];
private readonly decimal[] _lows = new decimal[BufferSize];
private readonly decimal[] _rawK = new decimal[BufferSize];
private int _priceIndex;
private int _priceCount;
private int _kIndex;
private int _kCount;
private int _prevColor;
public int KPeriod { get => _kPeriod.Value; set => _kPeriod.Value = value; }
public int DPeriod { get => _dPeriod.Value; set => _dPeriod.Value = value; }
public decimal HighLevel { get => _highLevel.Value; set => _highLevel.Value = value; }
public decimal LowLevel { get => _lowLevel.Value; set => _lowLevel.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public AflWinnerV2Strategy()
{
_kPeriod = Param<int>(nameof(KPeriod), 5).SetDisplay("%K Period", "%K Period", "General");
_dPeriod = Param<int>(nameof(DPeriod), 3).SetDisplay("%D Period", "%D Period", "General");
_highLevel = Param<decimal>(nameof(HighLevel), 40m).SetDisplay("High Level", "High Level", "General");
_lowLevel = Param<decimal>(nameof(LowLevel), -40m).SetDisplay("Low Level", "Low Level", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
Array.Clear(_highs);
Array.Clear(_lows);
Array.Clear(_rawK);
_priceIndex = 0;
_priceCount = 0;
_kIndex = 0;
_kCount = 0;
_prevColor = -1;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
Array.Clear(_highs);
Array.Clear(_lows);
Array.Clear(_rawK);
_priceIndex = 0;
_priceCount = 0;
_kIndex = 0;
_kCount = 0;
_prevColor = -1;
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;
PushPrice(candle.HighPrice, candle.LowPrice);
if (_priceCount < KPeriod)
return;
var highest = GetHighest(KPeriod);
var lowest = GetLowest(KPeriod);
var range = highest - lowest;
var rawK = range > 0 ? (candle.ClosePrice - lowest) / range * 100m : 50m;
PushRawK(rawK);
if (_kCount < DPeriod)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var k = rawK - 50m;
var d = GetRawKAverage(DPeriod) - 50m;
int color;
if (k > d)
color = (k > HighLevel || (k > LowLevel && d <= LowLevel)) ? 3 : 2;
else
color = (k < LowLevel || (d > HighLevel && k <= HighLevel)) ? 0 : 1;
if (color == 3 && _prevColor != 3 && Position <= 0)
{
BuyMarket();
}
else if (color == 0 && _prevColor != 0 && Position >= 0)
{
SellMarket();
}
else if (color < 2 && Position > 0)
{
SellMarket();
}
else if (color > 1 && Position < 0)
{
BuyMarket();
}
_prevColor = color;
}
private void PushPrice(decimal high, decimal low)
{
_highs[_priceIndex] = high;
_lows[_priceIndex] = low;
_priceIndex = (_priceIndex + 1) % BufferSize;
if (_priceCount < BufferSize)
_priceCount++;
}
private void PushRawK(decimal value)
{
_rawK[_kIndex] = value;
_kIndex = (_kIndex + 1) % BufferSize;
if (_kCount < BufferSize)
_kCount++;
}
private decimal GetHighest(int period)
{
var highest = decimal.MinValue;
var count = Math.Min(period, _priceCount);
for (var i = 0; i < count; i++)
{
var idx = (_priceIndex - 1 - i + BufferSize) % BufferSize;
if (_highs[idx] > highest)
highest = _highs[idx];
}
return highest;
}
private decimal GetLowest(int period)
{
var lowest = decimal.MaxValue;
var count = Math.Min(period, _priceCount);
for (var i = 0; i < count; i++)
{
var idx = (_priceIndex - 1 - i + BufferSize) % BufferSize;
if (_lows[idx] < lowest)
lowest = _lows[idx];
}
return lowest;
}
private decimal GetRawKAverage(int period)
{
var count = Math.Min(period, _kCount);
var sum = 0m;
for (var i = 0; i < count; i++)
{
var idx = (_kIndex - 1 - i + BufferSize) % BufferSize;
sum += _rawK[idx];
}
return sum / count;
}
}
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.Strategies import Strategy
class afl_winner_v2_strategy(Strategy):
BUFFER_SIZE = 64
def __init__(self):
super(afl_winner_v2_strategy, self).__init__()
self._k_period = self.Param("KPeriod", 5) \
.SetDisplay("%K Period", "%K Period", "General")
self._d_period = self.Param("DPeriod", 3) \
.SetDisplay("%D Period", "%D Period", "General")
self._high_level = self.Param("HighLevel", 40.0) \
.SetDisplay("High Level", "High Level", "General")
self._low_level = self.Param("LowLevel", -40.0) \
.SetDisplay("Low Level", "Low Level", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._highs = [0.0] * self.BUFFER_SIZE
self._lows = [0.0] * self.BUFFER_SIZE
self._raw_k = [0.0] * self.BUFFER_SIZE
self._price_index = 0
self._price_count = 0
self._k_index = 0
self._k_count = 0
self._prev_color = -1
@property
def k_period(self):
return self._k_period.Value
@property
def d_period(self):
return self._d_period.Value
@property
def high_level(self):
return self._high_level.Value
@property
def low_level(self):
return self._low_level.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(afl_winner_v2_strategy, self).OnReseted()
self._highs = [0.0] * self.BUFFER_SIZE
self._lows = [0.0] * self.BUFFER_SIZE
self._raw_k = [0.0] * self.BUFFER_SIZE
self._price_index = 0
self._price_count = 0
self._k_index = 0
self._k_count = 0
self._prev_color = -1
def OnStarted2(self, time):
super(afl_winner_v2_strategy, self).OnStarted2(time)
self._highs = [0.0] * self.BUFFER_SIZE
self._lows = [0.0] * self.BUFFER_SIZE
self._raw_k = [0.0] * self.BUFFER_SIZE
self._price_index = 0
self._price_count = 0
self._k_index = 0
self._k_count = 0
self._prev_color = -1
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 _push_price(self, high, low):
self._highs[self._price_index] = high
self._lows[self._price_index] = low
self._price_index = (self._price_index + 1) % self.BUFFER_SIZE
if self._price_count < self.BUFFER_SIZE:
self._price_count += 1
def _push_raw_k(self, value):
self._raw_k[self._k_index] = value
self._k_index = (self._k_index + 1) % self.BUFFER_SIZE
if self._k_count < self.BUFFER_SIZE:
self._k_count += 1
def _get_highest(self, period):
highest = -1e18
count = min(period, self._price_count)
for i in range(count):
idx = (self._price_index - 1 - i + self.BUFFER_SIZE) % self.BUFFER_SIZE
if self._highs[idx] > highest:
highest = self._highs[idx]
return highest
def _get_lowest(self, period):
lowest = 1e18
count = min(period, self._price_count)
for i in range(count):
idx = (self._price_index - 1 - i + self.BUFFER_SIZE) % self.BUFFER_SIZE
if self._lows[idx] < lowest:
lowest = self._lows[idx]
return lowest
def _get_raw_k_average(self, period):
count = min(period, self._k_count)
s = 0.0
for i in range(count):
idx = (self._k_index - 1 - i + self.BUFFER_SIZE) % self.BUFFER_SIZE
s += self._raw_k[idx]
return s / count if count > 0 else 0.0
def process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
high = float(candle.HighPrice)
low = float(candle.LowPrice)
close = float(candle.ClosePrice)
self._push_price(high, low)
kp = int(self.k_period)
dp = int(self.d_period)
if self._price_count < kp:
return
highest = self._get_highest(kp)
lowest = self._get_lowest(kp)
rng = highest - lowest
raw_k = (close - lowest) / rng * 100.0 if rng > 0 else 50.0
self._push_raw_k(raw_k)
if self._k_count < dp:
return
k = raw_k - 50.0
d = self._get_raw_k_average(dp) - 50.0
hl = float(self.high_level)
ll = float(self.low_level)
if k > d:
color = 3 if (k > hl or (k > ll and d <= ll)) else 2
else:
color = 0 if (k < ll or (d > hl and k <= hl)) else 1
if color == 3 and self._prev_color != 3 and self.Position <= 0:
self.BuyMarket()
elif color == 0 and self._prev_color != 0 and self.Position >= 0:
self.SellMarket()
elif color < 2 and self.Position > 0:
self.SellMarket()
elif color > 1 and self.Position < 0:
self.BuyMarket()
self._prev_color = color
def CreateClone(self):
return afl_winner_v2_strategy()