In the ever-evolving landscape of financial markets, traders and investors are continuously seeking innovative strategies to optimize their returns while managing risks effectively. With advancements in artificial intelligence and data analytics, automated trading systems, often referred to as trading robots or also bots, have become increasingly prevalent. These algorithms leverage a diverse range of methodologies, from Technical Analysis (TA) to Fundamental Analysis (FA) evaluation as well as both FA&TA, to identify and execute trades with no human intervention. In this article, we delve into several prominent trading strategies employed by these algorithms, examining their key features and operational mechanisms and, we delve into the strengths and weaknesses of several distinct trading strategies.
#1. FA: Health of Financial Business Models
Algorithms based on financial business models assess companies’ creditworthiness using indicators like debt ratios and int
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