I'm interesting in putting my data science skills back to work. Anyone have a theory of the market that can be incorporated into a quant model?

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There's any number of theories you can research and backtest, looking to ID buy/sell signals. But the problem, of course, is that unforeseen events can and will come along and inject noise into the data in the real world. But the good news is that it's early on a Sunday morning, you've got all day to perfect whatever system you land upon!

Theory: Retail buying trends are triggered by social media influencers posting on Instagram, X and Reddit communities such as Wall Street Bets.

Identify first mentions of a symbol, rank influencer strength (followers, likes, reposts) and correlate with movements in that symbol.

Similar theory to people texting people about earthquakes is several minutes ahead of a physical tsunami wave front.

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