Abstract: Since the original TSA has problems such as easy to fall into local optimum and limited population diversity, this study proposes an optimized Tree-Seed Algorithm(TSA), which significantly ...

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...