How I Get Option Historical Data for Backtesting #algotrading #trading

In this series, we'll build a **production-ready Option Historical Data Pipeline** for **NIFTY & SENSEX** using **Python, Upstox APIs, DuckDB, Parquet, and Claude AI**. 💡 We'll cover: ✅ Smart strike filtering to reduce API calls ✅ Historical option data download ✅ Resume logic for interrupted downloads ✅ Efficient Parquet storage ✅ Fast SQL queries using DuckDB for backtesting The goal isn't just to generate code with AI—it's to understand the complete architecture, write better prompts, and build real-world trading tools faster. 💬 What feature would you like to see next in this pipeline? Let me know in the comments! #AlgoTrading #Python #PythonDeveloper #Upstox #OptionsTrading #HistoricalData #DataEngineering #DuckDB #Parquet #Backtesting #Nifty #Sensex #ClaudeAI #TradingAutomation #DataForTraders Join Membership : https://learn.datafortraders.in/learn Telegram Channel: https://t.me/datafortraders Contact details : Chat on Telegram 💬 : https://t.me/datafortrader Gmail ID 📩 : datafortrader@gmail.com Whatsapp Contact 📞 : +917376829691 Disclaimer: The information provided by the Data For Traders channel is for educational purposes only and is not intended for trading purposes or advice. Hence,  Data For Traders channel  not liable for any losses in any case. All trademarks, logos and brand names are the property of their respective owners.

Added 28 Jul 2026