Introduction As the cryptocurrency market grows increasingly dynamic, identifying profitable traders has become essential for enhancing investment strategies. This research project introduces a logistic regression model trained to classify crypto wallets into three categories: Good Trader, Average Trader, and Bad Trader. The model utilizes key features derived from trading activity data to achieve a robust classification. Features Used The following features were extracted and used to categor...