RSI Overbought/Oversold
This system trades reversals using the Relative Strength Index. When RSI drops below the oversold level, it buys after closing any shorts. When RSI climbs above the overbought level, it sells after closing longs.
Testing indicates an average annual return of about 61%. It performs best in the crypto market.
Positions exit when RSI returns to a neutral zone or the stop-loss is reached.
Details
- Entry Criteria: RSI below
OversoldLevelor aboveOverboughtLevel. - Long/Short: Both directions.
- Exit Criteria: RSI crosses
NeutralLevelor stop. - Stops: Yes.
- Default Values:
RsiPeriod= 14OverboughtLevel= 70OversoldLevel= 30NeutralLevel= 50CandleType= TimeSpan.FromMinutes(5)StopLossPercent= 2.0m
- Filters:
- Category: Oscillator
- Direction: Both
- Indicators: RSI
- Stops: Yes
- Complexity: Basic
- Timeframe: Intraday
- Seasonality: No
- Neural Networks: No
- Divergence: Yes
- Risk Level: Medium
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>
/// RSI overbought/oversold reversal with neutral exits.
/// Buys while RSI is below the oversold level, sells while it is above the overbought level.
/// Exits at the neutral level and uses native actual-fill percent protection.
/// </summary>
public class RsiOverboughtOversoldStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _oversoldLevel;
private readonly StrategyParam<int> _overboughtLevel;
private readonly StrategyParam<int> _neutralLevel;
private readonly StrategyParam<decimal> _stopLossPercent;
private Order _pendingOrder;
/// <summary>
/// RSI period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int OversoldLevel { get => _oversoldLevel.Value; set => _oversoldLevel.Value = value; }
public int OverboughtLevel { get => _overboughtLevel.Value; set => _overboughtLevel.Value = value; }
public int NeutralLevel { get => _neutralLevel.Value; set => _neutralLevel.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
/// <summary>
/// Initializes a new instance of the <see cref="RsiOverboughtOversoldStrategy"/>.
/// </summary>
public RsiOverboughtOversoldStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14).SetGreaterThanZero()
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
.SetOptimize(10, 20, 2);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_oversoldLevel = Param(nameof(OversoldLevel), 30).SetRange(0, 100)
.SetDisplay("Oversold Threshold", "Enter long while RSI is below this level.", "Indicators");
_overboughtLevel = Param(nameof(OverboughtLevel), 70).SetRange(0, 100)
.SetDisplay("Overbought Threshold", "Enter short while RSI is above this level.", "Indicators");
_neutralLevel = Param(nameof(NeutralLevel), 50).SetRange(0, 100)
.SetDisplay("Exit Level", "Close on return to the neutral level.", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 2m).SetNotNegative()
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection");
OrderRegistering += order => _pendingOrder = order;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType), (Security, DataType.Level1)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_pendingOrder = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (!(OversoldLevel < NeutralLevel && NeutralLevel < OverboughtLevel))
throw new InvalidOperationException("OversoldLevel must be below NeutralLevel, which must be below OverboughtLevel.");
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// Native protection runs before the callback, including between finished candles.
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_pendingOrder is not null && _pendingOrder.State is not (OrderStates.Done or OrderStates.Failed))
return;
if (rsiValue < OversoldLevel && Position <= 0m)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
}
else if (rsiValue > OverboughtLevel && Position >= 0m)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
}
else if (Position > 0m && rsiValue >= NeutralLevel)
SellMarket(Position);
else if (Position < 0m && rsiValue <= NeutralLevel)
BuyMarket(Math.Abs(Position));
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, OrderStates, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class rsi_overbought_oversold_strategy(Strategy):
"""
RSI overbought/oversold reversal with neutral exits.
Buys while RSI is below the oversold level, sells while it is above the overbought level, exits at neutral.
"""
def __init__(self):
super(rsi_overbought_oversold_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14).SetGreaterThanZero().SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._oversold_level = self.Param("OversoldLevel", 30).SetRange(0, 100).SetDisplay("Oversold Threshold", "Enter long while RSI is below this level.", "Indicators")
self._overbought_level = self.Param("OverboughtLevel", 70).SetRange(0, 100).SetDisplay("Overbought Threshold", "Enter short while RSI is above this level.", "Indicators")
self._neutral_level = self.Param("NeutralLevel", 50).SetRange(0, 100).SetDisplay("Exit Level", "Close on return to the neutral level.", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection")
self._pending_order = None
self.OrderRegistering += self._track_pending
def GetWorkingSecurities(self):
return [(self.Security, self.candle_type), (self.Security, DataType.Level1)]
def _track_pending(self, order):
self._pending_order = order
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_overbought_oversold_strategy, self).OnReseted()
self._pending_order = None
def OnStarted2(self, time):
super(rsi_overbought_oversold_strategy, self).OnStarted2(time)
if not (self._oversold_level.Value < self._neutral_level.Value < self._overbought_level.Value):
raise ValueError("OversoldLevel must be below NeutralLevel, which must be below OverboughtLevel.")
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# Native protection runs before this callback, including between signal bars.
pass
def _process_candle(self, candle, rsi_value):
if candle.State != CandleStates.Finished or not self.IsFormedAndOnlineAndAllowTrading():
return
rv = rsi_value
if self._pending_order is not None and self._pending_order.State not in (OrderStates.Done, OrderStates.Failed):
return
if rv < Decimal(self._oversold_level.Value) and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
elif rv > Decimal(self._overbought_level.Value) and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
elif self.Position > 0 and rv >= Decimal(self._neutral_level.Value):
self.SellMarket(self.Position)
elif self.Position < 0 and rv <= Decimal(self._neutral_level.Value):
self.BuyMarket(Math.Abs(self.Position))
def CreateClone(self):
return rsi_overbought_oversold_strategy()