In the US alone, there are roughly 165 million stock traders, accounting for 62% of the population. If you're interested, ...

In this and future posts, I thought it might be useful to provide some real-world applications of machine learning in a trading context. Because machine learning is such a broad topic, I am going to ...

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

Artificial Intelligence (AI) has revolutionized the trading industry by introducing AI trading software, which combines sophisticated algorithms, machine learning techniques, and data analytics to ...

Technical traders have long searched for distinctive shapes in stock-price charts in order to predict returns. As artificial intelligence systems become better and better at recognizing visual ...

ARK36, the Cyprus-based leading alternative investment digital asset fund, has announced today the launch of a proprietary machine learning-based trading software system, “to improve the way its ...

Modern forex trading heavily depends on advanced analytics, machine learning, and real-time data processing. Big data platforms are boosting forecasting ...

Forbes contributors publish independent expert analyses and insights. Covering fintech, crypto and digital assets, and investment. It is estimated that between 60 to 75 percent of trading on all major ...

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