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How I Automated My Investment Research With 50 Lines of Python

DEV Community·Kevin Meneses González·about 1 month ago
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The Problem: Too Much Noise, Not Enough Signal A while ago, my daily investment routine looked like this: Open multiple tabs Check stock prices Compare volume Look at charts Scan for opportunities Every day, the same process. And the problem wasn't time alone. It was inconsistency. Some days I would miss good setups. Other days I would overanalyze everything. Because I was relying on manual effort. The Shift: From Checking Stocks to Filtering Them At some point, I realized something simple: I don't need more information. I need better filtering. Instead of checking stocks one by one, I decided to build a system that: Monitors a list of stocks automatically Applies predefined conditions Shows only the ones worth analyzing That's when I built a simple Python watchlist.…

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