Auto Pending By RSI
This strategy places pending limit orders after the Relative Strength Index (RSI) stays in extreme zones for several consecutive candles.
When the RSI remains below the oversold level for MatchCount candles, a buy limit order is registered below the candle close by PendingOffset price points. When the RSI stays above the overbought level for the same number of candles, a sell limit order is placed above the close by the same offset.
Parameters
RsiPeriod– RSI calculation period.RsiOverbought– level that defines the overbought zone.RsiOversold– level that defines the oversold zone.PendingOffset– distance from close price to place pending orders (price points).MatchCount– number of consecutive candles required before placing orders.CandleType– candle timeframe used for analysis.
Default values emulate the original MQL script and use 4‑hour candles.
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>
/// Enters after RSI stays in extreme zones for several consecutive candles.
/// Buys after sustained oversold, sells after sustained overbought.
/// </summary>
public class AutoPendingByRsiStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<int> _matchCount;
private readonly StrategyParam<DataType> _candleType;
private int _overboughtCount;
private int _oversoldCount;
/// <summary>RSI calculation period.</summary>
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
/// <summary>RSI overbought level.</summary>
public decimal RsiOverbought { get => _rsiOverbought.Value; set => _rsiOverbought.Value = value; }
/// <summary>RSI oversold level.</summary>
public decimal RsiOversold { get => _rsiOversold.Value; set => _rsiOversold.Value = value; }
/// <summary>Number of consecutive candles before placing orders.</summary>
public int MatchCount { get => _matchCount.Value; set => _matchCount.Value = value; }
/// <summary>Candle type for calculations.</summary>
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
/// <summary>
/// Initialize strategy parameters.
/// </summary>
public AutoPendingByRsiStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI Period", "RSI calculation period", "Indicators")
.SetOptimize(7, 21, 7);
_rsiOverbought = Param(nameof(RsiOverbought), 70m)
.SetDisplay("RSI Overbought", "Overbought level", "Indicators")
.SetOptimize(60m, 80m, 5m);
_rsiOversold = Param(nameof(RsiOversold), 30m)
.SetDisplay("RSI Oversold", "Oversold level", "Indicators")
.SetOptimize(20m, 40m, 5m);
_matchCount = Param(nameof(MatchCount), 3)
.SetDisplay("Match Count", "Consecutive candles before entry", "General")
.SetOptimize(1, 10, 1);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Time frame for analysis", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_overboughtCount = 0;
_oversoldCount = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, Process)
.Start();
StartProtection(null, null);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void Process(ICandleMessage candle, decimal rsi)
{
if (candle.State != CandleStates.Finished)
return;
if (rsi < RsiOversold)
{
_oversoldCount++;
_overboughtCount = 0;
}
else if (rsi > RsiOverbought)
{
_overboughtCount++;
_oversoldCount = 0;
}
else
{
_overboughtCount = 0;
_oversoldCount = 0;
}
if (_oversoldCount >= MatchCount && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_oversoldCount = 0;
}
if (_overboughtCount >= MatchCount && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_overboughtCount = 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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class auto_pending_by_rsi_strategy(Strategy):
def __init__(self):
super(auto_pending_by_rsi_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "RSI calculation period", "Indicators") \
.SetOptimize(7, 21, 7)
self._rsi_overbought = self.Param("RsiOverbought", 70.0) \
.SetDisplay("RSI Overbought", "Overbought level", "Indicators") \
.SetOptimize(60.0, 80.0, 5.0)
self._rsi_oversold = self.Param("RsiOversold", 30.0) \
.SetDisplay("RSI Oversold", "Oversold level", "Indicators") \
.SetOptimize(20.0, 40.0, 5.0)
self._match_count = self.Param("MatchCount", 3) \
.SetDisplay("Match Count", "Consecutive candles before entry", "General") \
.SetOptimize(1, 10, 1)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Time frame for analysis", "General")
self._overbought_count = 0
self._oversold_count = 0
@property
def rsi_period(self):
return self._rsi_period.Value
@property
def rsi_overbought(self):
return self._rsi_overbought.Value
@property
def rsi_oversold(self):
return self._rsi_oversold.Value
@property
def match_count(self):
return self._match_count.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(auto_pending_by_rsi_strategy, self).OnReseted()
self._overbought_count = 0
self._oversold_count = 0
def OnStarted2(self, time):
super(auto_pending_by_rsi_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self.process).Start()
self.StartProtection(None, None)
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def process(self, candle, rsi):
if candle.State != CandleStates.Finished:
return
rsi_val = float(rsi)
if rsi_val < float(self.rsi_oversold):
self._oversold_count += 1
self._overbought_count = 0
elif rsi_val > float(self.rsi_overbought):
self._overbought_count += 1
self._oversold_count = 0
else:
self._overbought_count = 0
self._oversold_count = 0
if self._oversold_count >= self.match_count and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._oversold_count = 0
if self._overbought_count >= self.match_count and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._overbought_count = 0
def CreateClone(self):
return auto_pending_by_rsi_strategy()