Introduction to ML in trading

The world of financial markets is a complex ecosystem, characterized by a myriad of transactions, a plethora of economic indicators, and a multitude of global influences. In this vast and intricate landscape, traders and financial institutions have consistently sought advanced tools and methodologies to decipher patterns, predict outcomes, and ultimately gain a competitive edge. A significant ally in this quest, emerging prominently in recent years, is ML.

ML, a cornerstone of artificial intelligence (AI), empowers computers to evolve and improve their performance without being constrained by explicit programming. This evolution and refinement are driven by data, with algorithms processing, analyzing, and learning from vast datasets to make informed decisions. As the exposure to data increases, these algorithms become more adept, refining their predictions, strategies, and decision-making processes.

As we have learned, financial markets generate...