Larry Connors RSI 3
Стратегия возврата к среднему на основе правил RSI Ларри Коннорса.
Стратегия покупает, когда цена выше 200-периодной SMA и RSI(2) падает три дня подряд от значения выше порога до зоны перепроданности. Позиция закрывается, когда RSI поднимается выше уровня перекупленности.
Детали
- Условия входа: Закрытие выше SMA и 2-периодный RSI, падающий три дня от уровня выше триггера в перепроданность.
- Длинные/короткие: Только лонг.
- Условия выхода: RSI выше уровня перекупленности.
- Стопы: Нет.
- Значения по умолчанию:
RsiPeriod= 2SmaPeriod= 200DropTrigger= 60mOversoldLevel= 10mOverboughtLevel= 70mCandleType= TimeSpan.FromDays(1)
- Фильтры:
- Категория: Mean Reversion
- Направление: Лонг
- Индикаторы: RSI, SMA
- Стопы: Нет
- Сложность: Базовая
- Таймфрейм: Дневной
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Низкий
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>
/// Larry Connors RSI 3 strategy.
/// Combines a long-term trend filter with short-term RSI exhaustion.
/// </summary>
public class LarryConnorsRsi3Strategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _smaPeriod;
private readonly StrategyParam<decimal> _dropTrigger;
private readonly StrategyParam<decimal> _oversoldLevel;
private readonly StrategyParam<decimal> _overboughtLevel;
private readonly StrategyParam<int> _maxEntries;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _rsiPrev1;
private decimal _rsiPrev2;
private int _entriesExecuted;
private int _barsSinceSignal;
/// <summary>
/// RSI period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// SMA period.
/// </summary>
public int SmaPeriod
{
get => _smaPeriod.Value;
set => _smaPeriod.Value = value;
}
/// <summary>
/// RSI trigger level for drop start.
/// </summary>
public decimal DropTrigger
{
get => _dropTrigger.Value;
set => _dropTrigger.Value = value;
}
/// <summary>
/// RSI oversold level.
/// </summary>
public decimal OversoldLevel
{
get => _oversoldLevel.Value;
set => _oversoldLevel.Value = value;
}
/// <summary>
/// RSI overbought level.
/// </summary>
public decimal OverboughtLevel
{
get => _overboughtLevel.Value;
set => _overboughtLevel.Value = value;
}
/// <summary>
/// Candle type.
/// </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 orders.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="LarryConnorsRsi3Strategy"/>.
/// </summary>
public LarryConnorsRsi3Strategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 2)
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
.SetOptimize(2, 5, 1);
_smaPeriod = Param(nameof(SmaPeriod), 50)
.SetDisplay("SMA Period", "Period for trend SMA", "Indicators")
.SetOptimize(50, 300, 50);
_dropTrigger = Param(nameof(DropTrigger), 20m)
.SetDisplay("Drop Trigger", "RSI level required before drop", "Strategy")
.SetOptimize(50m, 70m, 5m);
_oversoldLevel = Param(nameof(OversoldLevel), 50m)
.SetDisplay("Oversold Level", "RSI oversold threshold", "Strategy")
.SetOptimize(5m, 20m, 1m);
_overboughtLevel = Param(nameof(OverboughtLevel), 70m)
.SetDisplay("Overbought Level", "RSI exit threshold", "Strategy")
.SetOptimize(60m, 80m, 5m);
_maxEntries = Param(nameof(MaxEntries), 45)
.SetDisplay("Max Entries", "Maximum entries per run", "Risk");
_cooldownBars = Param(nameof(CooldownBars), 20)
.SetDisplay("Cooldown Bars", "Minimum bars between orders", "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();
_rsiPrev1 = 0m;
_rsiPrev2 = 0m;
_entriesExecuted = 0;
_barsSinceSignal = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_entriesExecuted = 0;
_barsSinceSignal = CooldownBars;
var sma = new SimpleMovingAverage { Length = SmaPeriod };
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
_barsSinceSignal++;
var condition3 = rsiValue > 0 && rsiValue < OversoldLevel;
if (condition3 && Position <= 0 && _entriesExecuted < MaxEntries && _barsSinceSignal >= CooldownBars)
{
BuyMarket();
_entriesExecuted++;
_barsSinceSignal = 0;
}
else if (rsiValue > OverboughtLevel && Position > 0)
{
SellMarket();
_barsSinceSignal = 0;
}
_rsiPrev2 = _rsiPrev1;
_rsiPrev1 = rsiValue;
}
}
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, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class larry_connors_rsi_3_strategy(Strategy):
def __init__(self):
super(larry_connors_rsi_3_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 2) \
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
self._sma_period = self.Param("SmaPeriod", 50) \
.SetDisplay("SMA Period", "Period for trend SMA", "Indicators")
self._oversold_level = self.Param("OversoldLevel", 50.0) \
.SetDisplay("Oversold Level", "RSI oversold threshold", "Strategy")
self._overbought_level = self.Param("OverboughtLevel", 70.0) \
.SetDisplay("Overbought Level", "RSI exit threshold", "Strategy")
self._max_entries = self.Param("MaxEntries", 45) \
.SetDisplay("Max Entries", "Maximum entries per run", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 20) \
.SetDisplay("Cooldown Bars", "Minimum bars between orders", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
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_rsi_3_strategy, self).OnReseted()
self._entries_executed = 0
self._bars_since_signal = 0
def OnStarted2(self, time):
super(larry_connors_rsi_3_strategy, self).OnStarted2(time)
self._entries_executed = 0
self._bars_since_signal = self._cooldown_bars.Value
sma = SimpleMovingAverage()
sma.Length = self._sma_period.Value
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, rsi, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def OnProcess(self, candle, sma_val, rsi_val):
if candle.State != CandleStates.Finished:
return
self._bars_since_signal += 1
rv = float(rsi_val)
oversold = float(self._oversold_level.Value)
overbought = float(self._overbought_level.Value)
cond = rv > 0.0 and rv < oversold
if cond and self.Position <= 0 and self._entries_executed < self._max_entries.Value and self._bars_since_signal >= self._cooldown_bars.Value:
self.BuyMarket()
self._entries_executed += 1
self._bars_since_signal = 0
elif rv > overbought and self.Position > 0:
self.SellMarket()
self._bars_since_signal = 0
def CreateClone(self):
return larry_connors_rsi_3_strategy()