Raw Knowledge is a monthly analytical webinar in which we take a look at a selected commodity from A to Z. Each meeting is a kind of case study: we analyze current charts and price trends, we discuss key macroeconomic and geopolitical factors, we present the historical context and interesting facts related to a given market. The aim of the series is not only to interpret the current situation, but also to deepen participants' knowledge and show how different elements affect the value of raw materials. Thanks to the expert commentary of analyst Bogusz Kasowski, you will gain a more complete perspective and a practical view of global markets.

Join the webinar and be guided into the world of commodities! This unique event will allow you to:: Understand the diversity of commodities: Learn about the entire cross-section available, including gold, silver, oil, metals and more, and what the benefits are of investing in each. Learn the basics of commodity trading: We'll introduce you to the ins and outs of investing and technical issues, so you'll be freer to navigate the market. Gain valuable trading strategies: Our expert will share effective concepts that will help you take your trading to the next level and make valuable profits. Discover the influence of market factors: You'll learn what relationships affect commodity prices so you can better understand trends based on economic events and make informed investment decisions. Receive access to an educational package: Sign up for the webinar and you will receive an ebook as a gift, which includes an analysis of the market and individual commodities. Ask questions of an expert: The webinar is a great opportunity to network and exchange experiences!

Fibonacci levels have been used for years in technical analysis as one of the tools to help identify potential support and resistance zones, as well as turning points in the market. However, using them requires the appropriate selection of reference points and a correct interpretation of the chart. Can artificial intelligence streamline this process and reduce some of the manual work involved in the analysis?