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Bhai itna jaldi ..! Pehle sochna tha na thora ..

Turnout at AWS event today #aws #awssummit2025 .. wondering who is working today in Bangalore .. possibly over 10k footfall today

12 of 12 Enjoyed this ..!! Follow @akarshverma and subscribe to https://t.co/z7th9w0sfZ to show ❤️ ❤️ Cheers ... !!

11 of 12 Pair trading blends math, logic, & market psychology. Not risk-free, but deeply rewarding.

10 of 12 📺 Watch the full guide with code + visuals here: 👉

9 of 12 🔥 What’s next for me: • Kalman filters for dynamic beta • ML to predict mean reversion • Volatility-based sizing

8 of 12 🧠 Key lessons: • Market neutrality helps • Co-integration > correlation • Python = powerful customization

7 of 12 Python co-integration test: ts.coint(stockA, stockB) p < 0.05? Likely co-integrated. To model spread: spread = stockA - (alpha + beta * stockB) Then trade when spread hits upper/lower bounds.

6 of 12 📈 Visualized spread, signals, PnL in Excel. Was it basic? Yes. Did it help me learn deeply? 100%. From Excel ➡️ Python 🐍 Why? • Handle more data • Faster loops • Statistical testing • Custom logic

5 of 12 🧪 First sim was in Excel : • Price spread • Mean & std dev • Entry/exit thresholds • PnL logic • Cumulative returns

4 of 12 🛠 How I chose my first pair : ✅ Same sector ✅ Charts aligned ✅ Correlation in Excel ✅ Co-integration in Python

3 of 12 The strategy works if the relationship holds. That’s why correlation ≠ co-integration. Big difference. 📉 Correlation: short-term co-movement 📈 Co-integration: long-term stable relationship Two stocks can be correlated but not co-integrated — and drift apart forever.

2 of 12 Pair trading = 2 related stocks. Long one, short the other. You’re trading their relationship, not market direction. 🎯 Example: KO & PEP. If KO moves too far up vs PEP, short KO, long PEP. Bet is: the spread reverts to the mean. Profit on convergence.

1 of 12 🚨 Ever heard of Pair Trading? I found it while exploring risk-managed strategies. It’s market-neutral — and it blew my mind 🧵 Here's a thread describing that. Check out the video and the article for a deep dive - https://t.co/RMYP82cD3I -