Стратегия Larry Connors Percent B Bollinger
Стратегия следует подходу Larry Connors %B. Покупка выполняется, когда цена находится выше SMA200 и значение Bollinger %B остаётся ниже порога три подряд свечи. Позиция закрывается, когда %B поднимается выше верхнего порога.
Конфигурация по умолчанию рассчитана на дневные свечи.
Подробности
- Условия входа: цена выше SMA200 и %B ниже
LowPercentBтри последовательные свечи. - Длинные/короткие позиции: только длинные.
- Условия выхода: %B поднимается выше
HighPercentBили срабатывает стоп. - Стопы: да.
- Значения по умолчанию:
SmaPeriod= 200BollingerPeriod= 20BollingerDeviation= 2.0mLowPercentB= 0.2mHighPercentB= 0.8mStopLossPercent= 2.0mCandleType= TimeSpan.FromDays(1)
- Фильтры:
- Категория: Trend Following
- Направление: Long
- Индикаторы: Bollinger Bands, SMA
- Стопы: да
- Сложность: базовая
- Таймфрейм: дневной
- Сезонность: нет
- Нейросети: нет
- Дивергенция: нет
- Уровень риска: средний
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Larry Connors %B strategy using Bollinger Bands.
/// Buys when price is above SMA200 and %B stays below a threshold for three consecutive candles.
/// Exits when %B rises above the upper threshold.
/// </summary>
public class LarryConnorsPercentBStrategy : Strategy
{
private readonly StrategyParam<int> _smaPeriod;
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<decimal> _lowPercentB;
private readonly StrategyParam<decimal> _highPercentB;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<int> _maxEntries;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevPercentB1;
private decimal? _prevPercentB2;
private int _entriesExecuted;
private int _barsSinceSignal;
/// <summary>
/// SMA period for trend filter (default: 200).
/// </summary>
public int SmaPeriod
{
get => _smaPeriod.Value;
set => _smaPeriod.Value = value;
}
/// <summary>
/// Period for Bollinger Bands (default: 20).
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Deviation for Bollinger Bands (default: 2.0).
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// Lower threshold for %B (default: 0.2).
/// </summary>
public decimal LowPercentB
{
get => _lowPercentB.Value;
set => _lowPercentB.Value = value;
}
/// <summary>
/// Upper threshold for %B to exit (default: 0.8).
/// </summary>
public decimal HighPercentB
{
get => _highPercentB.Value;
set => _highPercentB.Value = value;
}
/// <summary>
/// Stop-loss percentage from entry price (default: 2%).
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Type of candles used for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Maximum entries per run.
/// </summary>
public int MaxEntries
{
get => _maxEntries.Value;
set => _maxEntries.Value = value;
}
/// <summary>
/// Minimum bars between entries.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initializes the strategy.
/// </summary>
public LarryConnorsPercentBStrategy()
{
_smaPeriod = Param(nameof(SmaPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("SMA Period", "Period for long-term trend filter", "General")
.SetOptimize(100, 300, 50);
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Bollinger Period", "Period for Bollinger Bands", "Bollinger")
.SetOptimize(10, 30, 5);
_bollingerDeviation = Param(nameof(BollingerDeviation), 2.0m)
.SetGreaterThanZero()
.SetDisplay("Bollinger Deviation", "Standard deviation for Bollinger Bands", "Bollinger")
.SetOptimize(1.0m, 3.0m, 0.5m);
_lowPercentB = Param(nameof(LowPercentB), 0.35m)
.SetDisplay("Low %B", "Lower threshold for %B", "Signals")
.SetOptimize(0.1m, 0.3m, 0.05m);
_highPercentB = Param(nameof(HighPercentB), 0.8m)
.SetDisplay("High %B", "Upper threshold for %B to exit", "Signals")
.SetOptimize(0.7m, 0.9m, 0.05m);
_stopLossPercent = Param(nameof(StopLossPercent), 2.0m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
.SetOptimize(1.0m, 5.0m, 1.0m);
_maxEntries = Param(nameof(MaxEntries), 45)
.SetGreaterThanZero()
.SetDisplay("Max Entries", "Maximum entries per run", "Risk");
_cooldownBars = Param(nameof(CooldownBars), 100)
.SetGreaterThanZero()
.SetDisplay("Cooldown Bars", "Minimum bars between entries", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevPercentB1 = null;
_prevPercentB2 = null;
_entriesExecuted = 0;
_barsSinceSignal = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var bollinger = new BollingerBands
{
Length = BollingerPeriod,
Width = BollingerDeviation
};
var dummyEma = new ExponentialMovingAverage { Length = 10 };
var subscription = SubscribeCandles(CandleType);
_entriesExecuted = 0;
_barsSinceSignal = CooldownBars;
subscription
.BindEx(bollinger, dummyEma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, dummyEma);
DrawIndicator(area, bollinger);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bollingerInd, IIndicatorValue dummyInd)
{
if (candle.State != CandleStates.Finished)
return;
_barsSinceSignal++;
var bb = (BollingerBandsValue)bollingerInd;
var upper = bb.UpBand ?? 0m;
var lower = bb.LowBand ?? 0m;
if (upper == 0m || lower == 0m || upper == lower)
return;
var percentB = (candle.ClosePrice - lower) / (upper - lower);
if (_prevPercentB1 is not decimal prev1 || _prevPercentB2 is not decimal prev2)
{
_prevPercentB2 = _prevPercentB1;
_prevPercentB1 = percentB;
return;
}
var condition2 = prev1 < LowPercentB && percentB < LowPercentB;
if (Position <= 0 && _entriesExecuted < MaxEntries && _barsSinceSignal >= CooldownBars && condition2)
{
BuyMarket();
_entriesExecuted++;
_barsSinceSignal = 0;
}
else if (Position > 0 && percentB > HighPercentB)
{
SellMarket();
_barsSinceSignal = 0;
}
_prevPercentB2 = _prevPercentB1;
_prevPercentB1 = percentB;
}
}
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 BollingerBands, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class larry_connors_percent_b_strategy(Strategy):
def __init__(self):
super(larry_connors_percent_b_strategy, self).__init__()
self._bollinger_period = self.Param("BollingerPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Bollinger Period", "Period for Bollinger Bands", "Bollinger")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("Bollinger Deviation", "Standard deviation for Bollinger Bands", "Bollinger")
self._low_percent_b = self.Param("LowPercentB", 0.35) \
.SetDisplay("Low PctB", "Lower threshold for percent B", "Signals")
self._high_percent_b = self.Param("HighPercentB", 0.8) \
.SetDisplay("High PctB", "Upper threshold for percent B to exit", "Signals")
self._max_entries = self.Param("MaxEntries", 45) \
.SetGreaterThanZero() \
.SetDisplay("Max Entries", "Maximum entries per run", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 100) \
.SetGreaterThanZero() \
.SetDisplay("Cooldown Bars", "Minimum bars between entries", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_pct_b1 = None
self._prev_pct_b2 = None
self._entries_executed = 0
self._bars_since_signal = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(larry_connors_percent_b_strategy, self).OnReseted()
self._prev_pct_b1 = None
self._prev_pct_b2 = None
self._entries_executed = 0
self._bars_since_signal = 0
def OnStarted2(self, time):
super(larry_connors_percent_b_strategy, self).OnStarted2(time)
self._entries_executed = 0
self._bars_since_signal = self._cooldown_bars.Value
bollinger = BollingerBands()
bollinger.Length = self._bollinger_period.Value
bollinger.Width = self._bollinger_deviation.Value
dummy_ema = ExponentialMovingAverage()
dummy_ema.Length = 10
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(bollinger, dummy_ema, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bollinger)
self.DrawOwnTrades(area)
def OnProcess(self, candle, bb_val, dummy_val):
if candle.State != CandleStates.Finished:
return
self._bars_since_signal += 1
upper = bb_val.UpBand
lower = bb_val.LowBand
if upper is None or lower is None:
return
upper = float(upper)
lower = float(lower)
if upper == lower:
return
close = float(candle.ClosePrice)
pct_b = (close - lower) / (upper - lower)
low_th = float(self._low_percent_b.Value)
high_th = float(self._high_percent_b.Value)
if self._prev_pct_b1 is None:
self._prev_pct_b2 = self._prev_pct_b1
self._prev_pct_b1 = pct_b
return
cond2 = self._prev_pct_b1 < low_th and pct_b < low_th
if self.Position <= 0 and self._entries_executed < self._max_entries.Value and self._bars_since_signal >= self._cooldown_bars.Value and cond2:
self.BuyMarket()
self._entries_executed += 1
self._bars_since_signal = 0
elif self.Position > 0 and pct_b > high_th:
self.SellMarket()
self._bars_since_signal = 0
self._prev_pct_b2 = self._prev_pct_b1
self._prev_pct_b1 = pct_b
def CreateClone(self):
return larry_connors_percent_b_strategy()