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 the ever-evolving landscape of real time trading, the integration of artificial intelligence (AI) with classical technical analysis represents a significant leap forward. At the forefront of this ...

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 ...

Technical analysis patterns offer a structured way to read the collective psychology of the market, translating chaotic price action into recognizable, repeatable setups. For the individual investor, ...

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