I tried combining multiple data sources when analyzing stocks. The results were more conflicting than I expected

Lately I’ve been trying to improve how I analyze stocks, especially the tendency to rely too heavily on a single angle like technicals or fundamentals.

I experimented with combining several types of data at once, including news sentiment, price action, financial metrics, analyst opinions, insider activity, and relative performance versus the broader market.

To make this easier, I built a small internal tool that pulls real data from APIs and organizes everything in one place. The goal wasn’t to create something to share, but to reduce bias in my own analysis by forcing myself to look at multiple perspectives simultaneously.

What stood out to me is how often these signals don’t align.

For example, I saw cases where price action looked strong, but sentiment was weakening and insiders were selling. In other cases, fundamentals appeared solid, but the market reaction suggested underlying concerns.

It made me question how much weight I usually give to each type of signal, and whether focusing on one or two indicators creates a false sense of confidence.

I’m curious how others here approach this.

Do you prioritize one framework over others, or do you actively try to combine multiple perspectives even when they contradict each other?