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How I Automated My Investment Research With 50 Lines of Python

DEV Community·Kevin Meneses González·6 months 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.

What This System Actually Does

The idea is straightforward:

Define a list of stocks you care about

Define conditions that matter to you

Let the script filter the market

Instead of asking:

"What should I check…

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