Politician Trader

Global Nexus LabsPolitician Trader Project

Our politician trading algorithm utilizes the 2012 Stock ACT, to predict possible market behaviors. It operates on publicly available information about politicians' asset trades to analyze their transactions with the latest advanced model GNL’s developers have designed. After a series of scans, information about each stock is collected and classified to determine whether a transaction should be executed. This system is currently under development. We hope to start commercializing it soon.

pythonPytorch
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