Keltner Rsi Strategy
Strategy combining Keltner Channels and RSI indicators. Looks for mean reversion opportunities when price touches channel boundaries and RSI confirms oversold/overbought conditions.
Testing indicates an average annual return of about 88%. It performs best in the stocks market.
Keltner Channels map recent volatility while RSI measures momentum extremes. Entries occur when RSI supports a move beyond the channel.
Great for bounce traders around volatility envelopes. Stops rely on an ATR multiplier.
Details
- Entry Criteria:
- Long:
Close < LowerBand && RSI < RsiOversoldLevel - Short:
Close > UpperBand && RSI > RsiOverboughtLevel
- Long:
- Long/Short: Both
- Exit Criteria:
- Price returns to EMA
- Stops: Percent-based using
StopLossPercent - Default Values:
EmaPeriod= 20AtrPeriod= 14AtrMultiplier= 2.0mRsiPeriod= 14RsiOverboughtLevel= 70mRsiOversoldLevel= 30mStopLossPercent= 2.0mCandleType= TimeSpan.FromMinutes(5).TimeFrame()
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: Keltner Channel, RSI
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
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>
/// Strategy combining Keltner Channels and RSI indicators.
/// Looks for mean reversion opportunities when price touches channel boundaries
/// and RSI confirms oversold/overbought conditions.
/// </summary>
public class KeltnerRsiStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiOverboughtLevel;
private readonly StrategyParam<decimal> _rsiOversoldLevel;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
/// <summary>
/// EMA period for Keltner Channels.
/// </summary>
public int EmaPeriod
{
get => _emaPeriod.Value;
set => _emaPeriod.Value = value;
}
/// <summary>
/// ATR period for Keltner Channels.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// ATR multiplier for Keltner Channels width.
/// </summary>
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
/// <summary>
/// Period for RSI calculation.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI overbought level.
/// </summary>
public decimal RsiOverboughtLevel
{
get => _rsiOverboughtLevel.Value;
set => _rsiOverboughtLevel.Value = value;
}
/// <summary>
/// RSI oversold level.
/// </summary>
public decimal RsiOversoldLevel
{
get => _rsiOversoldLevel.Value;
set => _rsiOversoldLevel.Value = value;
}
/// <summary>
/// Stop loss percentage.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Bars to wait between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
// Fields for indicators
private ExponentialMovingAverage _ema;
private ATR _atr;
private RSI _rsi;
private int _cooldown;
/// <summary>
/// Initialize strategy.
/// </summary>
public KeltnerRsiStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "Period for EMA in Keltner Channels", "Indicators")
.SetOptimize(10, 30, 5);
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period for ATR in Keltner Channels", "Indicators")
.SetOptimize(7, 21, 7);
_atrMultiplier = Param(nameof(AtrMultiplier), 2.0m)
.SetGreaterThanZero()
.SetDisplay("ATR Multiplier", "Multiplier for ATR to set channel width", "Indicators")
.SetOptimize(1.0m, 3.0m, 0.5m);
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
.SetOptimize(7, 21, 7);
_rsiOverboughtLevel = Param(nameof(RsiOverboughtLevel), 60m)
.SetRange(50, 90)
.SetDisplay("RSI Overbought", "RSI level considered overbought", "Trading Levels")
.SetOptimize(65, 80, 5);
_rsiOversoldLevel = Param(nameof(RsiOversoldLevel), 40m)
.SetRange(10, 50)
.SetDisplay("RSI Oversold", "RSI level considered oversold", "Trading Levels")
.SetOptimize(20, 35, 5);
_cooldownBars = Param(nameof(CooldownBars), 120)
.SetRange(5, 500)
.SetDisplay("Cooldown Bars", "Bars between trades", "General");
_stopLossPercent = Param(nameof(StopLossPercent), 2.0m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk Management")
.SetOptimize(1.0m, 3.0m, 0.5m);
_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();
_ema = null;
_atr = null;
_rsi = null;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create indicators
_ema = new EMA { Length = EmaPeriod };
_atr = new ATR { Length = AtrPeriod };
_rsi = new RSI { Length = RsiPeriod };
// Create subscription
var subscription = SubscribeCandles(CandleType);
// Use WhenCandlesFinished to process candles manually
subscription
.Bind(_ema, _atr, _rsi, ProcessCandle)
.Start();
// Setup chart if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
// Add indicators to chart
DrawIndicator(area, _ema);
// Create second area for RSI
var rsiArea = CreateChartArea();
DrawIndicator(rsiArea, _rsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue, decimal atrValue, decimal rsiValue)
{
// Skip if indicators are not formed yet
if (!_ema.IsFormed || !_atr.IsFormed || !_rsi.IsFormed)
return;
// Check if strategy is ready to trade
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Calculate Keltner Channels
var upperBand = emaValue + (atrValue * AtrMultiplier);
var lowerBand = emaValue - (atrValue * AtrMultiplier);
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Trading logic
if (candle.ClosePrice < emaValue && rsiValue < 45m && Position == 0)
{
// Mean-reversion long in lower zone.
BuyMarket();
_cooldown = CooldownBars;
}
else if (candle.ClosePrice > emaValue && rsiValue > 55m && Position == 0)
{
// Mean-reversion short in upper zone.
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice >= emaValue && rsiValue > 50)
{
// Exit long position when price crosses above EMA (middle band)
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice <= emaValue && rsiValue < 50)
{
// Exit short position when price crosses below EMA (middle band)
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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 ExponentialMovingAverage, AverageTrueRange, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class keltner_rsi_strategy(Strategy):
def __init__(self):
super(keltner_rsi_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "Period for EMA in Keltner Channels", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetDisplay("ATR Period", "Period for ATR in Keltner Channels", "Indicators")
self._atr_multiplier = self.Param("AtrMultiplier", 2.0) \
.SetDisplay("ATR Multiplier", "Multiplier for ATR to set channel width", "Indicators")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
self._rsi_overbought_level = self.Param("RsiOverboughtLevel", 60.0) \
.SetDisplay("RSI Overbought", "RSI level considered overbought", "Trading Levels")
self._rsi_oversold_level = self.Param("RsiOversoldLevel", 40.0) \
.SetDisplay("RSI Oversold", "RSI level considered oversold", "Trading Levels")
self._cooldown_bars = self.Param("CooldownBars", 120) \
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk Management")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._ema = None
self._atr = None
self._rsi = None
self._cooldown = 0
@property
def EmaPeriod(self):
return self._ema_period.Value
@EmaPeriod.setter
def EmaPeriod(self, value):
self._ema_period.Value = value
@property
def AtrPeriod(self):
return self._atr_period.Value
@AtrPeriod.setter
def AtrPeriod(self, value):
self._atr_period.Value = value
@property
def AtrMultiplier(self):
return self._atr_multiplier.Value
@AtrMultiplier.setter
def AtrMultiplier(self, value):
self._atr_multiplier.Value = value
@property
def RsiPeriod(self):
return self._rsi_period.Value
@RsiPeriod.setter
def RsiPeriod(self, value):
self._rsi_period.Value = value
@property
def RsiOverboughtLevel(self):
return self._rsi_overbought_level.Value
@RsiOverboughtLevel.setter
def RsiOverboughtLevel(self, value):
self._rsi_overbought_level.Value = value
@property
def RsiOversoldLevel(self):
return self._rsi_oversold_level.Value
@RsiOversoldLevel.setter
def RsiOversoldLevel(self, value):
self._rsi_oversold_level.Value = value
@property
def CooldownBars(self):
return self._cooldown_bars.Value
@CooldownBars.setter
def CooldownBars(self, value):
self._cooldown_bars.Value = value
@property
def StopLossPercent(self):
return self._stop_loss_percent.Value
@StopLossPercent.setter
def StopLossPercent(self, value):
self._stop_loss_percent.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(keltner_rsi_strategy, self).OnStarted2(time)
self._cooldown = 0
self._ema = ExponentialMovingAverage()
self._ema.Length = self.EmaPeriod
self._atr = AverageTrueRange()
self._atr.Length = self.AtrPeriod
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self.RsiPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(self._ema, self._atr, self._rsi, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, ema_value, atr_value, rsi_value):
if candle.State != CandleStates.Finished:
return
if not self._ema.IsFormed or not self._atr.IsFormed or not self._rsi.IsFormed:
return
ema_f = float(ema_value)
atr_f = float(atr_value)
rsi_f = float(rsi_value)
close = float(candle.ClosePrice)
cooldown_bars = int(self.CooldownBars)
if self._cooldown > 0:
self._cooldown -= 1
return
if close < ema_f and rsi_f < 45.0 and self.Position == 0:
self.BuyMarket()
self._cooldown = cooldown_bars
elif close > ema_f and rsi_f > 55.0 and self.Position == 0:
self.SellMarket()
self._cooldown = cooldown_bars
elif self.Position > 0 and close >= ema_f and rsi_f > 50:
self.SellMarket()
self._cooldown = cooldown_bars
elif self.Position < 0 and close <= ema_f and rsi_f < 50:
self.BuyMarket()
self._cooldown = cooldown_bars
def OnReseted(self):
super(keltner_rsi_strategy, self).OnReseted()
self._ema = None
self._atr = None
self._rsi = None
self._cooldown = 0
def CreateClone(self):
return keltner_rsi_strategy()