namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// PricerEA strategy: Bollinger Bands mean reversion with RSI filter.
/// Buys at lower band when RSI is oversold, sells at upper band when overbought.
/// </summary>
public class PricerEaStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _bbPeriod;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<int> _signalCooldownCandles;
private int _candlesSinceTrade;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int BbPeriod { get => _bbPeriod.Value; set => _bbPeriod.Value = value; }
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
public int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public PricerEaStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_bbPeriod = Param(nameof(BbPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("BB Period", "Bollinger Bands period", "Indicators");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI period", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR period for adaptive band distance", "Indicators");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 8)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_candlesSinceTrade = SignalCooldownCandles;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candlesSinceTrade = SignalCooldownCandles;
var sma = new SimpleMovingAverage { Length = BbPeriod };
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(sma, rsi, atr, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal sma, decimal rsi, decimal atr)
{
if (candle.State != CandleStates.Finished)
return;
var close = candle.ClosePrice;
var bandDistance = atr * 2.5m;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
if (Position > 0 && (close >= sma || rsi >= 50))
{
SellMarket();
_candlesSinceTrade = 0;
}
else if (Position < 0 && (close <= sma || rsi <= 50))
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (Position == 0 && _candlesSinceTrade >= SignalCooldownCandles && close <= sma - bandDistance && rsi < 30)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (Position == 0 && _candlesSinceTrade >= SignalCooldownCandles && close >= sma + bandDistance && rsi > 70)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
}
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, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class pricer_ea_strategy(Strategy):
def __init__(self):
super(pricer_ea_strategy, self).__init__()
self._bb_period = self.Param("BbPeriod", 20) \
.SetDisplay("BB Period", "Bollinger Bands period", "Indicators")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI period", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetDisplay("ATR Period", "ATR period", "Indicators")
self._signal_cooldown = self.Param("SignalCooldownCandles", 8) \
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading")
self._sma = None
self._rsi = None
self._atr = None
self._candles_since_trade = 0
@property
def bb_period(self):
return self._bb_period.Value
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def atr_period(self):
return self._atr_period.Value
@property
def signal_cooldown(self):
return self._signal_cooldown.Value
def OnReseted(self):
super(pricer_ea_strategy, self).OnReseted()
self._sma = None
self._rsi = None
self._atr = None
self._candles_since_trade = self.signal_cooldown
def OnStarted2(self, time):
super(pricer_ea_strategy, self).OnStarted2(time)
self._sma = SimpleMovingAverage()
self._sma.Length = self.bb_period
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self.rsi_period
self._atr = AverageTrueRange()
self._atr.Length = self.atr_period
self._candles_since_trade = self.signal_cooldown
subscription = self.SubscribeCandles(DataType.TimeFrame(TimeSpan.FromMinutes(30)))
subscription.Bind(self._sma, self._rsi, self._atr, self._process_candle)
subscription.Start()
def _process_candle(self, candle, sma_value, rsi_value, atr_value):
if candle.State != CandleStates.Finished:
return
if not self._sma.IsFormed or not self._rsi.IsFormed or not self._atr.IsFormed:
return
close = float(candle.ClosePrice)
sma_val = float(sma_value)
rsi_val = float(rsi_value)
atr_val = float(atr_value)
band_distance = atr_val * 2.5
if self._candles_since_trade < self.signal_cooldown:
self._candles_since_trade += 1
if self.Position > 0 and (close >= sma_val or rsi_val >= 50.0):
self.SellMarket()
self._candles_since_trade = 0
elif self.Position < 0 and (close <= sma_val or rsi_val <= 50.0):
self.BuyMarket()
self._candles_since_trade = 0
elif self.Position == 0 and self._candles_since_trade >= self.signal_cooldown and close <= sma_val - band_distance and rsi_val < 30.0:
self.BuyMarket()
self._candles_since_trade = 0
elif self.Position == 0 and self._candles_since_trade >= self.signal_cooldown and close >= sma_val + band_distance and rsi_val > 70.0:
self.SellMarket()
self._candles_since_trade = 0
def CreateClone(self):
return pricer_ea_strategy()