Testing indicates an average annual return of about 85%. It performs best in the crypto market.
RSI Divergence searches for price extremes unconfirmed by the RSI oscillator. A bullish divergence leads to a buy and a bearish divergence prompts a sell. The trade lasts until RSI reverses or a stop fires.
Divergence setups often emerge near the end of long trends. By comparing the oscillator's behavior with price action, the strategy attempts to catch early reversals with controlled risk.
Details
Entry Criteria: Signals based on RSI.
Long/Short: Both directions.
Exit Criteria: Opposite signal or stop.
Stops: Yes.
Default Values:
RsiPeriod = 14
StopLossPercent = 2m
CandleType = TimeSpan.FromMinutes(5)
Filters:
Category: Trend
Direction: Both
Indicators: RSI
Stops: Yes
Complexity: Basic
Timeframe: Intraday (5m)
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>
/// Strategy based on RSI divergence detection.
/// Uses RSI overbought/oversold level crossings to generate reversal signals.
/// </summary>
public class RsiDivergenceStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private bool _hasPrevValues;
private int _cooldown;
/// <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;
}
/// <summary>
/// Initializes a new instance of the <see cref="RsiDivergenceStrategy"/>.
/// </summary>
public RsiDivergenceStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.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");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = default;
_hasPrevValues = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
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 ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (rsiValue == 0)
return;
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevRsi = rsiValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevRsi = rsiValue;
return;
}
// RSI crosses from oversold into neutral zone - buy
if (_prevRsi < 30 && rsiValue >= 30 && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
_cooldown = 15;
}
// RSI crosses from overbought into neutral zone - sell
else if (_prevRsi > 70 && rsiValue <= 70 && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
_cooldown = 15;
}
_prevRsi = 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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class rsi_divergence_strategy(Strategy):
"""
Strategy based on RSI divergence detection.
Uses RSI overbought/oversold level crossings to generate reversal signals.
"""
def __init__(self):
super(rsi_divergence_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14).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._prev_rsi = 0.0
self._has_prev_values = False
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_divergence_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._has_prev_values = False
self._cooldown = 0
def OnStarted2(self, time):
super(rsi_divergence_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
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 _process_candle(self, candle, rsi_val):
if candle.State != CandleStates.Finished:
return
rv = float(rsi_val)
if rv == 0:
return
if not self._has_prev_values:
self._has_prev_values = True
self._prev_rsi = rv
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_rsi = rv
return
# RSI crosses from oversold into neutral zone - buy
if self._prev_rsi < 30 and rv >= 30 and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._cooldown = 15
# RSI crosses from overbought into neutral zone - sell
elif self._prev_rsi > 70 and rv <= 70 and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._cooldown = 15
self._prev_rsi = rv
def CreateClone(self):
return rsi_divergence_strategy()