Stock Price Extraction Tool

I need a seasoned developer to build a solution that automatically pulls stock market data—specifically historical prices—into a clean, machine-readable format I can feed straight into my analysis pipeline.

Here’s the flow I have in mind. I specify a ticker (or a list of tickers) plus a date range, hit “run,” and the tool reaches out to a reliable data source, fetches the daily OHLC values, volume, adjusted closes, and spits everything out in CSV or JSON. A concise command-line interface or a simple GUI is fine; what matters most is accuracy, resilience, and ease of use.

I’m agnostic about language, but Python with requests, pandas, and perhaps yfinance or a direct exchange API feels natural. If you prefer Node, Go, or another language, that’s okay—just make sure the end result is well-documented and easy to deploy on a standard Linux server.

Deliverables (acceptance criteria)
• Fully commented source code and requirements file
• A short README explaining setup, usage, and how to switch data providers if an API key limit is hit
• Sample output for at least two tickers over a one-year period, showing correct price history

If you’ve built anything similar—and especially if you have tricks for rate-limit handling or caching—I’d love to see it. Let’s make reliable historical stock data one command away.