Стратегия 200 SMA Buffer
Стратегия 200 SMA Buffer использует расстояние цены от долгосрочной простой скользящей средней. Покупка происходит, когда закрытие поднимается на заданный процент выше SMA, а выход — когда цена опускается на заданный процент ниже. Подход позволяет захватывать долгосрочный импульс с учетом буфера вокруг средней.
Подробности
- Условия входа:
- Цена закрытия > SMA * (1 + Entry %).
- Направление: только длинные позиции.
- Условия выхода:
- Цена закрытия < SMA * (1 - Exit %).
- Стопы: нет.
- Параметры по умолчанию:
SmaLength= 200EntryPercent= 5ExitPercent= 3
- Фильтры:
- Категория: Следование тренду
- Направление: Лонг
- Индикаторы: SMA
- Стопы: Нет
- Сложность: Низкая
- Таймфрейм: Любой
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
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>
/// 200 SMA Buffer Strategy.
/// Buys when price is above SMA by entry percent.
/// Sells when price falls below SMA by exit percent.
/// Also supports short positions.
/// </summary>
public class SmaBufferStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _smaLength;
private readonly StrategyParam<decimal> _entryPercent;
private readonly StrategyParam<decimal> _exitPercent;
private readonly StrategyParam<int> _cooldownBars;
private SimpleMovingAverage _sma;
private int _cooldownRemaining;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int SmaLength
{
get => _smaLength.Value;
set => _smaLength.Value = value;
}
public decimal EntryPercent
{
get => _entryPercent.Value;
set => _entryPercent.Value = value;
}
public decimal ExitPercent
{
get => _exitPercent.Value;
set => _exitPercent.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public SmaBufferStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_smaLength = Param(nameof(SmaLength), 100)
.SetGreaterThanZero()
.SetDisplay("SMA Length", "Period of the moving average", "Parameters");
_entryPercent = Param(nameof(EntryPercent), 2m)
.SetDisplay("Entry %", "Percent above/below SMA to enter", "Parameters");
_exitPercent = Param(nameof(ExitPercent), 1m)
.SetDisplay("Exit %", "Percent toward SMA to exit", "Parameters");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_sma = null;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_sma = new SimpleMovingAverage { Length = SmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_sma, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _sma);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_sma.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
return;
}
var price = candle.ClosePrice;
var upperEntry = smaValue * (1m + EntryPercent / 100m);
var lowerEntry = smaValue * (1m - EntryPercent / 100m);
var upperExit = smaValue * (1m + ExitPercent / 100m);
var lowerExit = smaValue * (1m - ExitPercent / 100m);
// Buy: price above upper entry threshold
if (price > upperEntry && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Sell: price below lower entry threshold
else if (price < lowerEntry && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Exit long: price drops below lower exit
else if (Position > 0 && price < lowerExit)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
// Exit short: price rises above upper exit
else if (Position < 0 && price > upperExit)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = 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, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class sma_buffer_strategy(Strategy):
"""200 SMA Buffer Strategy."""
def __init__(self):
super(sma_buffer_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._sma_length = self.Param("SmaLength", 100) \
.SetDisplay("SMA Length", "Period of the moving average", "Parameters")
self._entry_percent = self.Param("EntryPercent", 2.0) \
.SetDisplay("Entry %", "Percent above/below SMA to enter", "Parameters")
self._exit_percent = self.Param("ExitPercent", 1.0) \
.SetDisplay("Exit %", "Percent toward SMA to exit", "Parameters")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._sma = None
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(sma_buffer_strategy, self).OnReseted()
self._sma = None
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(sma_buffer_strategy, self).OnStarted2(time)
self._sma = SimpleMovingAverage()
self._sma.Length = int(self._sma_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._sma, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._sma)
self.DrawOwnTrades(area)
def _on_process(self, candle, sma_value):
if candle.State != CandleStates.Finished:
return
if not self._sma.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
return
price = float(candle.ClosePrice)
sma_v = float(sma_value)
entry_pct = float(self._entry_percent.Value)
exit_pct = float(self._exit_percent.Value)
cooldown = int(self._cooldown_bars.Value)
upper_entry = sma_v * (1.0 + entry_pct / 100.0)
lower_entry = sma_v * (1.0 - entry_pct / 100.0)
upper_exit = sma_v * (1.0 + exit_pct / 100.0)
lower_exit = sma_v * (1.0 - exit_pct / 100.0)
if price > upper_entry and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif price < lower_entry and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
elif self.Position > 0 and price < lower_exit:
self.SellMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
elif self.Position < 0 and price > upper_exit:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
def CreateClone(self):
return sma_buffer_strategy()