In modern financial markets, recognizing trends is essential for investors seeking profits. Stock databases, or Stock DB, ...

Trading used to be about gut feelings and reading charts. Traders sat at desks watching screens, trying to spot patterns that meant prices would go up or down. That world exists still but machines can ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Florida Atlantic University commits $20 million to purchase and install a D-Wave Advantage2 annealing system. ・D-Wave to establish its new corporate headquarters at the Boca Raton Innovation Center.

New research shows mutual funds using machine learning strategies generate significant outperformance over traditional funds ...

Ever wondered how stock traders select good stocks without investing too much time in checking financial data? The solution is a stock screener. Fortunately, today's stock screeners are much improved ...

Global spending on machine learning is expected to reach $503 billion by 2030. Investing in companies like Nvidia, Tesla, or Accenture offers exposure to machine learning benefits. Machine learning ...

Stock trading has historically been a domain dominated by institutional investors with access to proprietary tools, advanced algorithms, and teams of quantitative analysts. But the landscape is ...

Trading Game announces the release of updated educational resources designed to support individuals learning stock trading in 2026. The release reflects changing market conditions, evolving trading ...

Global spending on machine learning is projected to reach $503 billion by 2030, growing at a 35% CAGR. Investing in machine learning stocks could provide substantial growth due to industry expansion.