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Turkish Trader Shares Eight-Step Finance Automation and AI Toolkit Lessons

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A Turkish developer known as Serdar describes the Python libraries he has relied on for years to track and analyze Borsa Istanbul data. He explains how pandas handled large historical datasets, including memory problems he solved by selecting columns, optimizing data types, and reading files in chunks. The article also covers yfinance for fetching stock prices, along with its pitfalls such as delayed data, rate limits, and empty responses on non-trading days. Finally, it notes that technical indicator libraries save time but can mislead users who do not understand the underlying calculations, as he learned from a losing trade.

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