Profitable Pair Correlation Divergence Scanner v6This strategy identifies divergence opportunities between two correlated assets using a combination of Z-Score spread analysis, trend confirmation, RSI & MACD momentum checks, correlation filters, and ATR-based stop-loss/take-profit management. It’s optimized for positive P&L and realistic trade execution.
Key Features:
Pair Divergence Detection:
Measures deviation between returns of two assets and identifies overbought/oversold spread conditions using Z-Score.
Trend Alignment:
Trades only in the direction of the primary asset’s trend using a fast EMA vs slow EMA filter.
Momentum Confirmation:
Confirms trades with RSI and MACD to reduce false signals.
Correlation Filter:
Ensures the pair is strongly correlated before taking trades, avoiding noisy signals.
Risk Management:
Dynamic ATR-based stop-loss and take-profit ensures proper reward-to-risk ratio.
Exit Conditions:
Automatically closes positions when Z-Score normalizes, or ATR-based exits are hit.
How It Works:
Calculate Returns:
Computes returns for both assets over the selected timeframe.
Z-Score Spread:
Calculates the spread between returns and normalizes it using moving average and standard deviation.
Trend Filter:
Only takes long trades if the fast EMA is above the slow EMA, and short trades if the fast EMA is below the slow EMA.
Momentum Confirmation:
Confirms trade direction with RSI (>50 for longs, <50 for shorts) and MACD alignment.
Correlation Check:
Ensures the pair’s recent correlation is strong enough to validate divergence signals.
Trade Execution:
Opens positions when Z-Score crosses thresholds and all conditions align. Positions close when Z-Score normalizes or ATR-based SL/TP is hit.
Plot Explanation:
Z-Score: Blue line shows divergence magnitude.
Entry Levels: Red/Green lines mark long/short thresholds.
Exit Zone: Gray lines show normalization zone.
EMA Trend Lines: Purple (fast), Orange (slow) for trend alignment.
Correlation: Teal overlay shows current correlation strength.
Usage Tips:
Use highly correlated pairs for best results (e.g., EURUSD/GBPUSD).
Run on higher timeframe charts (1h or 4h) to reduce noise.
Adjust ATR multiplier based on volatility to avoid premature stops.
Combine with alerts for automated notifications or webhook execution.
Conclusion:
The Profitable Pair Correlation Divergence Scanner v6 is designed for traders who want systematic, low-risk, positive P&L trading opportunities with minimal manual monitoring. By combining trend alignment, momentum confirmation, correlation filters, and dynamic exits, it reduces false signals and improves execution reliability.
Run it on TradingView and watch how it captures divergence opportunities while maintaining positive P&L across trades.
Pair-trading
trading YM based on pair tradingThis is inspired by some online free webinars. Didn't pay for the strategy/ course. I just figured it out myself. So there might be problem with this strategy.
Theory: It is based on something called cointegrated. Cointegration means the difference between 2 securities are stable in long term. When the difference is bigger / smaller than normal, then there is space to make profit. You can use some tests to check if they are cointegration. I don't think YM and NQ are strictly cointegrated. I used other platform to test the cointegration. They are not cointegrated. There are multiple ways to do pair trading. I use "Y = A - B * (A /B)" to do this. The back test on tradingview can only trade one security. This is not pair trading in this backtest. But only do long and short based on the theory of pair trading. The max drawdown is huge. You should be careful before doing anything with this strategy.
Welcome to give some advice on improvement.
SpreadTrade - CorrelationCorrelation Based Pair Trading Strategy (Trading the spread)
There are three popular styles of Pair trading:
* Distance based pair trading
* Correlation based pair trading
* Cointegration based pair trading
The correlation based strategy is to short the outperforming instrument and go long on the underperforming one
whenever the temporary correlation weakens which means one instrument going up and another going down.
Here, instead of two different instruments two timeframes of the same instrument are used, lower and higher.
In order to calculate the trade size, we would need to calculate hedge_ratio,
which is simply the ratio of the closing price of the instrument in the current tf to the higher tf.
So whenever we want to go short on spread we’ll short 1 unit of current tf and go long on hedge ratio times units of higher tf.
In order to generate trading signals, we need to define our trading logic.
So, we’ll go long on the spread when the hedge ratio goes below its p rolling mean by mult times of its
rolling standard deviation and vice versa.
Note that both p and mult can be changed as per your selection of instruments.
See: analyticsprofile.com
NOTE:
There is a minor problem to it in Pinescript. After a while the signal line goes horizontal and the two bounds, upper and lower, converge unless you update the time frame.
Kepp me in the know if you find a solution to this problem)
StatArbPair trading is employed by professional traders to outperform the market. This script is a complete trading strategy where you can set your own parameters and the system will generate ready to trade signals. All you have to do is just execute profitable trades based on your own parameters.
