Pearson's R Oscillator Strategy
The Pearson's R Oscillator strategy dynamically searches for the period where price best fits a linear regression channel using the Pearson correlation coefficient. When the correlation reaches the specified positive or negative threshold, the strategy forms a regression channel and trades breakouts.
Positions are opened when price crosses the channel boundaries and can be closed on midline crosses. The approach adapts to market conditions by automatically adjusting the lookback window to the strongest correlation.
Details
- Entry Criteria:
- Price crosses above the upper regression line → Long.
- Price crosses below the lower regression line → Short.
- Long/Short: Both sides.
- Exit Criteria:
- Midline cross in the opposite direction.
- Stops: None.
- Default Values:
MinPeriod= 48MaxPeriod= 360Step= 12IdealPositive= 0.85IdealNegative= -0.85Deviations= 2
- Filters:
- Category: Trend following
- Direction: Both
- Indicators: Pearson's R, Linear Regression
- Stops: None
- Complexity: Medium
- Timeframe: Any
- Seasonality: No
- Neural networks: No
- Divergence: No
- 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>
/// Pearson's R Oscillator strategy.
/// Uses linear regression channel crossover for entries with EMA trend filter.
/// </summary>
public class PearsonsROscillatorStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevRsi;
private int _barIndex;
private int _lastTradeBar;
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// EMA trend filter period.
/// </summary>
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
/// <summary>
/// RSI period.
/// </summary>
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public PearsonsROscillatorStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_emaLength = Param(nameof(EmaLength), 40)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA trend filter period", "Indicators");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "Indicators");
_cooldownBars = Param(nameof(CooldownBars), 350)
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = 0;
_barIndex = 0;
_lastTradeBar = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaLength };
var rsi = new RelativeStrengthIndex { Length = RsiLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ema, rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
var cooldownOk = _barIndex - _lastTradeBar > CooldownBars;
// RSI crosses above oversold with uptrend
var longSignal = _prevRsi > 0 && _prevRsi < 45 && rsiValue >= 45 && candle.ClosePrice > emaValue;
// RSI crosses below overbought with downtrend
var shortSignal = _prevRsi > 0 && _prevRsi > 55 && rsiValue <= 55 && candle.ClosePrice < emaValue;
if (longSignal && Position <= 0 && cooldownOk)
{
BuyMarket();
_lastTradeBar = _barIndex;
}
else if (shortSignal && Position >= 0 && cooldownOk)
{
SellMarket();
_lastTradeBar = _barIndex;
}
_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 ExponentialMovingAverage, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class pearsons_r_oscillator_strategy(Strategy):
def __init__(self):
super(pearsons_r_oscillator_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._ema_length = self.Param("EmaLength", 40) \
.SetGreaterThanZero() \
.SetDisplay("EMA Length", "EMA trend filter period", "Indicators")
self._rsi_length = self.Param("RsiLength", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI Length", "RSI period", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 350) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Trading")
self._prev_rsi = 0.0
self._bar_index = 0
self._last_trade_bar = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
@property
def cooldown_bars(self):
return self._cooldown_bars.Value
@cooldown_bars.setter
def cooldown_bars(self, value):
self._cooldown_bars.Value = value
def OnReseted(self):
super(pearsons_r_oscillator_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._bar_index = 0
self._last_trade_bar = 0
def OnStarted2(self, time):
super(pearsons_r_oscillator_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self._ema_length.Value
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(ema, rsi, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def OnProcess(self, candle, ema_val, rsi_val):
if candle.State != CandleStates.Finished:
return
self._bar_index += 1
ema_v = float(ema_val)
rsi_v = float(rsi_val)
close = float(candle.ClosePrice)
cooldown_ok = self._bar_index - self._last_trade_bar > self.cooldown_bars
long_signal = self._prev_rsi > 0 and self._prev_rsi < 45.0 and rsi_v >= 45.0 and close > ema_v
short_signal = self._prev_rsi > 0 and self._prev_rsi > 55.0 and rsi_v <= 55.0 and close < ema_v
if long_signal and self.Position <= 0 and cooldown_ok:
self.BuyMarket()
self._last_trade_bar = self._bar_index
elif short_signal and self.Position >= 0 and cooldown_ok:
self.SellMarket()
self._last_trade_bar = self._bar_index
self._prev_rsi = rsi_v
def CreateClone(self):
return pearsons_r_oscillator_strategy()