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Updated 2025-06-04·Editorial policy·Trading system

What is Pairs Trading?

Pairs trading goes long one instrument and short another, betting on convergence of a historically related spread.

Formula

Pairs Trading Logic: 1. Identify two highly correlated stocks (e.g., Visa & Mastercard) 2. Calculate their historical price ratio (spread) 3. When spread deviates 2+ standard deviations: - Short the outperformer - Long the underperformer 4. Exit when spread reverts to mean 5. Profit regardless of market direction

Indian market context (NSE)

Reference levels: Nifty 50 at 24,300, Reliance Industries at ₹1,300, Bank Nifty futures at 55,000 (lot size 30). Examples below show how Pairs Trading shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

Pairs Trading on Nifty (24,300): backtest includes 9:15 liquidity and expiry-day behaviour; edge on index may vanish outside 10:00–14:30 window.

Reliance Industries perspective

Pairs Trading on Reliance (₹1,300): liquidity is deep but event gaps dominate — strategy rules need explicit earnings blackout weeks.

Bank Nifty futures perspective

Pairs Trading on Bank Nifty futures (55,000): high beta suits shorter holds; overnight pairs trading must state NRML risk and gap plan in writing.

How to validate

  • Validate Pairs Trading only after costs — gross win rate can hide negative expectancy.
  • Use walk-forward windows (e.g. last 60 / prior 60 trades) for stability.
  • Retire or refactor the tag if Pairs Trading expectancy turns negative with 50+ trades.
  • Ensure no overlapping tags duplicate the same trades.

How to track in TradeLyser

  • Define Pairs Trading in Strategy Board with entry/exit/skip criteria.
  • Enforce single-tag discipline — no secondary discretionary entries.
  • Review expectancy, win rate, and avg R monthly on the tag only.
  • Archive tag version when rules change; do not blend old and new trades.

Best practices

  • One playbook page per Pairs Trading strategy with non-negotiable rules.
  • Paper trade rule changes for two weeks before live size.
  • Track costs explicitly on high-frequency Pairs Trading variants.
  • Compare versioned tags after each rule amendment.

Common pitfalls

  • Adding discretionary trades under the Pairs Trading tag.
  • Scaling up after one lucky week of Pairs Trading results.
  • Ignoring brokerage drag on high-frequency variants.
  • Retiring a tag without exporting final statistics.

How to use this in TradeLyser

Tag both legs and spread entry Z-score. Review divergence tail events quarterly.

Related terms

FAQ

What is an example of pairs trading?

Coca-Cola and Pepsi usually move together. If Coca-Cola rises 5% while Pepsi stays flat, a pairs trader shorts Coca-Cola and goes long Pepsi, betting they'll converge. When the spread normalizes, both positions profit.

Why is pairs trading considered market-neutral?

You're long one stock and short another, so overall market direction doesn't affect you. If the market crashes, your long loses but your short gains. You profit from the relationship between the pair, not market direction.

How do you find pairs to trade?

Look for stocks in the same sector with high historical correlation (0.8+). Run statistical tests for cointegration. Common pairs: Coca-Cola/Pepsi, Visa/Mastercard, HDFC Bank/ICICI Bank. The key is they should move together long-term.

What is spread in pairs trading?

The spread is the price difference between the two stocks (often normalized as a ratio). When the spread deviates significantly from its historical average, you trade expecting it to revert to the mean.

What are the risks of pairs trading?

The main risk is permanent divergence—when the historical relationship breaks due to fundamental changes. Other risks include execution difficulties, capital requirements for margin on shorts, and borrow costs for short positions.

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