Find big moving stocks before they move using machine learning and anomaly detection
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Updated
Aug 13, 2021 - Python
Find big moving stocks before they move using machine learning and anomaly detection
The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is …
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