EasyLanguage in AI – Bridging Traditional Trading and Advanced Analytics

There is a lot of enthusiasm surrounding the use of Artificial Intelligence (AI) in the financial sector. However, although AI offers amazing forecasting tools, it is easy to misuse them, as the complexity and large amount of data can lead to models that appear accurate but fail under real-world conditions. The use of AI models does not inherently exclude the pitfalls of overfitting.

In institutional settings, there is also a high level of skepticism about using AI innovative tools for the following reasons:

• If AI models perfectly replicated the behavior of human traders, considering that 95% of human traders lose money in financial markets, 95% of AI models would also be destined to lose money in the markets
• The mass adoption of AI models in financial markets could change the market structure in terms of prices and volumes, rendering the historical datasets on which the models are trained...