Reverse engineer trading data

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I'm working on a project to reverse engineer high-frequency trading (HFT) strategies / arbitrage strategies. The goal is to uncover the exact trading strategies employed by the trading algorithms. I'm seeking guidance on how I can detect hidden patterns in the data.

does anyone have any recommendations on how I can go about this? Potentially machine learning?

I have gathered the data needed.

What I have tried:

I have gathered the data needed and I am looking for some guidance

Posted 15-Jun-23 3:30am

Green0011

Updated 15-Jun-23 3:31am

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Comments

Andre Oosthuizen 15-Jun-23 10:27am

Google returned tons of examples - how I can detect hidden patterns in data [^]

[no name] 15-Jun-23 12:12pm

Maybe they're flipping a coin. i.e. "random" picks.

jeron1 15-Jun-23 12:23pm

Follow our ancestors. chimpanzee, became the 22nd most successful money manager in the USA [^]

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