Стратегия MA Stochastic
MA Stochastic использует фильтр тренда по скользящей средней вместе со стохастическим осциллятором для поиска откатов. Когда цена находится выше средней, а стохастик падает в зону перепроданности, система готовится купить следующий подъём.
Тестирование показывает среднегодичную доходность около 151%. Стратегию лучше запускать на фондовом рынке.
Короткие сделки отражают эту логику для нисходящего тренда, продавая откаты при стохастике в перекупленности.
Фиксированные процентные стопы помогают избежать крупных потерь при резких разворотах тренда.
Детали
- Критерий входа: сигнал индикатора
- Длинная/короткая сторона: обе
- Критерий выхода: стоп-лосс или противоположный сигнал
- Стопы: да, процентные
- Значения по умолчанию:
CandleType= 15 минутStopLoss= 2%
- Фильтры:
- Категория: Следование за трендом
- Направление: обе
- Индикаторы: Moving Average, Stochastic
- Стопы: да
- Сложность: средняя
- Таймфрейм: внутридневной
- 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 that combines Moving Average and manual Stochastic %K calculation.
/// Enters when price is above MA and Stochastic oversold (longs)
/// or below MA and Stochastic overbought (shorts).
/// </summary>
public class MaStochasticStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _stochPeriod;
private readonly StrategyParam<decimal> _stochOversold;
private readonly StrategyParam<decimal> _stochOverbought;
private readonly StrategyParam<int> _cooldownBars;
private int _cooldown;
private readonly List<decimal> _highs = new();
private readonly List<decimal> _lows = new();
private readonly List<decimal> _closes = new();
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Moving Average period.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Stochastic period for %K calculation.
/// </summary>
public int StochPeriod
{
get => _stochPeriod.Value;
set => _stochPeriod.Value = value;
}
/// <summary>
/// Stochastic oversold level.
/// </summary>
public decimal StochOversold
{
get => _stochOversold.Value;
set => _stochOversold.Value = value;
}
/// <summary>
/// Stochastic overbought level.
/// </summary>
public decimal StochOverbought
{
get => _stochOverbought.Value;
set => _stochOverbought.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Strategy constructor.
/// </summary>
public MaStochasticStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_maPeriod = Param(nameof(MaPeriod), 20)
.SetRange(10, 50)
.SetDisplay("MA Period", "Period of the Moving Average", "Indicators");
_stochPeriod = Param(nameof(StochPeriod), 14)
.SetRange(5, 30)
.SetDisplay("Stochastic Period", "Period for %K calculation", "Indicators");
_stochOversold = Param(nameof(StochOversold), 20m)
.SetDisplay("Stochastic Oversold", "Level considered oversold", "Indicators");
_stochOverbought = Param(nameof(StochOverbought), 80m)
.SetDisplay("Stochastic Overbought", "Level considered overbought", "Indicators");
_cooldownBars = Param(nameof(CooldownBars), 100)
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
.SetRange(5, 500);
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_cooldown = 0;
_highs.Clear();
_lows.Clear();
_closes.Clear();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ma = new SimpleMovingAverage { Length = MaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal maValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Track highs, lows, closes for manual stochastic
_highs.Add(candle.HighPrice);
_lows.Add(candle.LowPrice);
_closes.Add(candle.ClosePrice);
// Keep buffers manageable
var maxBuf = StochPeriod * 2;
if (_highs.Count > maxBuf)
{
_highs.RemoveRange(0, _highs.Count - maxBuf);
_lows.RemoveRange(0, _lows.Count - maxBuf);
_closes.RemoveRange(0, _closes.Count - maxBuf);
}
if (_highs.Count < StochPeriod)
return;
// Calculate %K manually
var start = _highs.Count - StochPeriod;
var highestHigh = decimal.MinValue;
var lowestLow = decimal.MaxValue;
for (var i = start; i < _highs.Count; i++)
{
if (_highs[i] > highestHigh) highestHigh = _highs[i];
if (_lows[i] < lowestLow) lowestLow = _lows[i];
}
var diff = highestHigh - lowestLow;
if (diff == 0)
return;
var stochK = 100m * (candle.ClosePrice - lowestLow) / diff;
var close = candle.ClosePrice;
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Long: price above MA + Stochastic oversold
if (close > maValue && stochK < StochOversold && Position == 0)
{
BuyMarket();
_cooldown = CooldownBars;
}
// Short: price below MA + Stochastic overbought
else if (close < maValue && stochK > StochOverbought && Position == 0)
{
SellMarket();
_cooldown = CooldownBars;
}
// Exit long: price below MA
if (Position > 0 && close < maValue)
{
SellMarket();
_cooldown = CooldownBars;
}
// Exit short: price above MA
else if (Position < 0 && close > maValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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
from StockSharp.Algo.Strategies import Strategy
class ma_stochastic_strategy(Strategy):
"""
MA + manual Stochastic strategy.
Enters when price is above MA and Stochastic oversold (longs)
or below MA and Stochastic overbought (shorts).
"""
def __init__(self):
super(ma_stochastic_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._ma_period = self.Param("MaPeriod", 20).SetDisplay("MA Period", "Period of the Moving Average", "Indicators")
self._stoch_period = self.Param("StochPeriod", 14).SetDisplay("Stochastic Period", "Period for %K calculation", "Indicators")
self._stoch_oversold = self.Param("StochOversold", 20.0).SetDisplay("Stochastic Oversold", "Level considered oversold", "Indicators")
self._stoch_overbought = self.Param("StochOverbought", 80.0).SetDisplay("Stochastic Overbought", "Level considered overbought", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 100).SetDisplay("Cooldown Bars", "Bars between trades", "General")
self._cooldown = 0
self._highs = []
self._lows = []
self._closes = []
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ma_stochastic_strategy, self).OnReseted()
self._cooldown = 0
self._highs = []
self._lows = []
self._closes = []
def OnStarted2(self, time):
super(ma_stochastic_strategy, self).OnStarted2(time)
self._cooldown = 0
self._highs = []
self._lows = []
self._closes = []
ma = SimpleMovingAverage()
ma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, ma_val):
if candle.State != CandleStates.Finished:
return
high = float(candle.HighPrice)
low = float(candle.LowPrice)
close = float(candle.ClosePrice)
ma = float(ma_val)
cd = self._cooldown_bars.Value
sp = self._stoch_period.Value
oversold = float(self._stoch_oversold.Value)
overbought = float(self._stoch_overbought.Value)
# Track highs, lows, closes for manual stochastic
self._highs.append(high)
self._lows.append(low)
self._closes.append(close)
# Keep buffers manageable
max_buf = sp * 2
if len(self._highs) > max_buf:
self._highs = self._highs[-max_buf:]
self._lows = self._lows[-max_buf:]
self._closes = self._closes[-max_buf:]
if len(self._highs) < sp:
return
# Calculate %K manually
recent_h = self._highs[-sp:]
recent_l = self._lows[-sp:]
hh = max(recent_h)
ll = min(recent_l)
diff = hh - ll
if diff == 0:
return
stoch_k = 100.0 * (close - ll) / diff
if self._cooldown > 0:
self._cooldown -= 1
return
# Long: price above MA + Stochastic oversold
if close > ma and stoch_k < oversold and self.Position == 0:
self.BuyMarket()
self._cooldown = cd
# Short: price below MA + Stochastic overbought
elif close < ma and stoch_k > overbought and self.Position == 0:
self.SellMarket()
self._cooldown = cd
# Exit long: price below MA
if self.Position > 0 and close < ma:
self.SellMarket()
self._cooldown = cd
# Exit short: price above MA
elif self.Position < 0 and close > ma:
self.BuyMarket()
self._cooldown = cd
def CreateClone(self):
return ma_stochastic_strategy()