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

A user-friendly Python GUI application to download historical stock and cryptocurrency data from Polygon.io. The script is designed to fetch intraday data for a specified ticker, date range, and ...

Bitcoin's extreme volatility challenges traditional trading tools. This project delivers an AI trading bot that predicts short-term BTC/USD price movements using deep learning and ensemble strategies, ...

Abstract: The recognition and tracking of hand gestures are essential elements in human-computer interaction systems, providing intuitive control and facilitating interaction with a wide range of ...

Abstract: This work presents a novel two-layer distributed control system for energy management in an energy community, integrating stochastic and distributed model predictive control with a ...

Real estate investor Matt Theriault shares practical strategies to increase cash flow from investments. Guilty plea in $380 million Ponzi scheme, feds say Ken Griffin says America was sent an ...

Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning ...

The new AI-powered crypto trading platforms are aimed at replacing traditional trading charts and order books with trading execution offered through natural language processing. Update Jan. 21, 9:27 a ...

The New York Stock Exchange is building a venue using blockchain technology to allow for trading tokenized stocks and exchange-traded funds around the clock. NYSE, which is owned by Intercontinental ...

Global financial markets are entering a new era of digital transformation, one in which data-driven analysis and algorithmic trading are no longer optional tools but core elements of modern investing.