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

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

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 ...

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.

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 ...

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 ...

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 ...

When looking at the universe of available Canadian growth stocks to choose from, investors may have to scour longer and harder than in many markets for examples of leaders in the machine-learning ...

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 ...