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- create a virtual environment (preferably with conda, but
python -m venv .venvwill be fine) && runpip install -r requirements.txt. - run
python download_mempool_historical.pyto download most recent 7 days of mempool dumps. this will be like 40+ gigs of data (like 8-9 million txs). - run
python train_mev_detector_improved.py. this will train a lightGBM model off of data labeled by the flashboys algorithm. - run
python analyze_auction_timing.pyto see how early detections can be made. don't get too excited. - run
python live_mempool_scorer.py. when it doesn't that well, don't ask me cuz i don't fucking know how to fix it either.



