namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// CDC PL RSI strategy: Dark Cloud Cover and Piercing Line candlestick patterns
/// confirmed by RSI levels.
/// </summary>
public class CdcPlRsiStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _oversoldLevel;
private readonly StrategyParam<decimal> _overboughtLevel;
private readonly StrategyParam<int> _signalCooldownCandles;
private readonly List<ICandleMessage> _candles = new();
private decimal _prevRsi;
private bool _hasPrevRsi;
private int _candlesSinceTrade;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public decimal OversoldLevel { get => _oversoldLevel.Value; set => _oversoldLevel.Value = value; }
public decimal OverboughtLevel { get => _overboughtLevel.Value; set => _overboughtLevel.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public CdcPlRsiStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
_oversoldLevel = Param(nameof(OversoldLevel), 40m)
.SetDisplay("Oversold Level", "RSI below this for long entry", "Signals");
_overboughtLevel = Param(nameof(OverboughtLevel), 60m)
.SetDisplay("Overbought Level", "RSI above this for short entry", "Signals");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 6)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_candles.Clear();
_prevRsi = 0m;
_hasPrevRsi = false;
_candlesSinceTrade = SignalCooldownCandles;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candles.Clear();
_hasPrevRsi = false;
_candlesSinceTrade = SignalCooldownCandles;
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(rsi, ProcessCandle).Start();
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(1, UnitTypes.Percent)
);
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished) return;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
_candles.Add(candle);
if (_candles.Count > 5)
_candles.RemoveAt(0);
if (_candles.Count >= 2 && _hasPrevRsi)
{
var curr = _candles[^1];
var prev = _candles[^2];
// Piercing Line
var isPiercing = prev.OpenPrice > prev.ClosePrice
&& curr.ClosePrice > curr.OpenPrice
&& curr.OpenPrice < prev.LowPrice
&& curr.ClosePrice > (prev.OpenPrice + prev.ClosePrice) / 2m;
// Dark Cloud Cover
var isDarkCloud = prev.ClosePrice > prev.OpenPrice
&& curr.OpenPrice > curr.ClosePrice
&& curr.OpenPrice > prev.HighPrice
&& curr.ClosePrice < (prev.OpenPrice + prev.ClosePrice) / 2m;
if (isPiercing && rsiValue < OversoldLevel && Position == 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (isDarkCloud && rsiValue > OverboughtLevel && Position == 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
_prevRsi = rsiValue;
_hasPrevRsi = true;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class cdc_pl_rsi_strategy(Strategy):
def __init__(self):
super(cdc_pl_rsi_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI period", "Indicators")
self._oversold_level = self.Param("OversoldLevel", 40.0) \
.SetDisplay("Oversold Level", "RSI below this for long entry", "Signals")
self._overbought_level = self.Param("OverboughtLevel", 60.0) \
.SetDisplay("Overbought Level", "RSI above this for short entry", "Signals")
self._signal_cooldown = self.Param("SignalCooldownCandles", 6) \
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading")
self._rsi = None
self._candles = []
self._has_prev_rsi = False
self._candles_since_trade = 0
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def oversold_level(self):
return self._oversold_level.Value
@property
def overbought_level(self):
return self._overbought_level.Value
@property
def signal_cooldown(self):
return self._signal_cooldown.Value
def OnReseted(self):
super(cdc_pl_rsi_strategy, self).OnReseted()
self._rsi = None
self._candles = []
self._has_prev_rsi = False
self._candles_since_trade = self.signal_cooldown
def OnStarted2(self, time):
super(cdc_pl_rsi_strategy, self).OnStarted2(time)
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self.rsi_period
self._candles = []
self._has_prev_rsi = False
self._candles_since_trade = self.signal_cooldown
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(5)))
subscription.Bind(self._rsi, self._process_candle)
subscription.Start()
self.StartProtection(takeProfit=Unit(2, UnitTypes.Percent), stopLoss=Unit(1, UnitTypes.Percent), useMarketOrders=True)
def _process_candle(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
if not self._rsi.IsFormed:
return
rsi_val = float(rsi_value)
if self._candles_since_trade < self.signal_cooldown:
self._candles_since_trade += 1
self._candles.append(candle)
if len(self._candles) > 5:
self._candles.pop(0)
if len(self._candles) >= 2 and self._has_prev_rsi:
curr = self._candles[-1]
prev = self._candles[-2]
is_piercing = (float(prev.OpenPrice) > float(prev.ClosePrice)
and float(curr.ClosePrice) > float(curr.OpenPrice)
and float(curr.OpenPrice) < float(prev.LowPrice)
and float(curr.ClosePrice) > (float(prev.OpenPrice) + float(prev.ClosePrice)) / 2.0)
is_dark_cloud = (float(prev.ClosePrice) > float(prev.OpenPrice)
and float(curr.OpenPrice) > float(curr.ClosePrice)
and float(curr.OpenPrice) > float(prev.HighPrice)
and float(curr.ClosePrice) < (float(prev.OpenPrice) + float(prev.ClosePrice)) / 2.0)
if is_piercing and rsi_val < self.oversold_level and self.Position == 0 and self._candles_since_trade >= self.signal_cooldown:
self.BuyMarket()
self._candles_since_trade = 0
elif is_dark_cloud and rsi_val > self.overbought_level and self.Position == 0 and self._candles_since_trade >= self.signal_cooldown:
self.SellMarket()
self._candles_since_trade = 0
self._has_prev_rsi = True
def CreateClone(self):
return cdc_pl_rsi_strategy()