Pair trading is a market-neutral trading strategy where you trade two related stocks by going long one and short the other when their price relationship temporarily diverges — expecting it to return to normal.
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In simple words:
You pick two stocks that usually move together.
When they move too far apart, you buy the cheap one and short the expensive one.
When they move back together, you close both trades and capture the difference.
🧠 Why It Works
Many companies in the same sector have similar fundamentals, so their prices tend to move in sync.
But short-term events can cause their prices to drift apart more than usual.
Pair trading assumes that:
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The price spread between the two stocks will mean-revert (return to historical average).
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You can profit from this reversion regardless of overall market direction.
That is why it is called market-neutral.
⚙️ How Pair Trading Works (Step-By-Step)
1. Find a good pair
Good candidates:
- Same sector
- High correlation
- Ideally cointegrated (strong statistical relationship)
Example: TCS & Infosys, HDFC Bank & ICICI Bank, Bharat Forge & Ashok Leyland
2. Calculate the “spread”
Spread = Price(A) − β × Price(B)
(β is usually found using linear regression)
The spread should be stable over time (stationary).
3. Wait for divergence
You monitor the spread using something like:
When spread becomes unusually high or low → Signal to trade.
4. Trade the pair
If Stock A becomes expensive vs Stock B:
- Short A
- Go long B
If Stock A becomes cheap vs Stock B:
- Long A
- Short B
5. Close the trade when spread mean-reverts
When the spread returns to its historical mean or zero → exit both positions → lock in profit.
📈 Example (Simple)
Suppose HDFC Bank & ICICI Bank usually move together.
Today:
- HDFC Bank suddenly jumps 4%
- ICICI Bank stays flat
If your model says “this gap usually closes,” you:
- Short HDFC Bank
- Long ICICI Bank
Later:
- HDFC Bank falls back
- ICICI Bank rises slightly
The spread closes → Profit captured.
⭐ Advantages
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Market neutral → works in bull, bear, or sideways markets.
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Lower risk than directional trading.
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Robust statistical foundation.
⚠️ Risks
-
Spread may not revert (relationship breaks).
Want to go further?
I can show you:
✅ How to find good stock pairs
✅ How to test correlation & cointegration
✅ How to calculate hedge ratio (β)
✅ Simple Python code for backtesting pair trading
Just tell me what you want next.
📌 Disclaimer
The content presented in this article is only for educational and informational purposes. It does not constitute investment advice, trading recommendations, or financial guidance under any circumstances. Options trading, including strategies such as the Bear Call Spread, involves substantial risk and may not be suitable for all investors.
The examples, payoff charts, strike prices, and market scenarios used in this post are illustrative and may not reflect actual or current market conditions. Trading in derivatives can result in losses, including the potential loss of capital. Past performance does not guarantee future results.
Readers are advised to carefully assess their risk tolerance, financial condition, and investment objectives before participating in options trading. For personalized advice, please consult a SEBI-registered investment advisor (RIA) or a qualified financial professional.
The author and the website do not hold any SEBI registration and are not liable for any financial loss, risk, or damages arising from the use or reliance on the information provided.
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