Algorithmic trading, also known as automated trading or AlgoTrading, refers to the use of computer programs and advanced mathematical models to execute trades in financial markets. These algorithms are designed to analyze vast amounts of data, identify patterns, and make trading decisions based on predefined rules. Algorithmic trading has gained popularity in recent years due to its ability to execute trades at high speed and with precision. Algorithmic trading offers several advantages over traditional manual trading. Firstly, it eliminates the influence of human emotions and biases, ensuring objective decision-making. Additionally, AlgoTrading enables trades to be executed at lightning-fast speeds, capitalizing on even the smallest market inefficiencies. Moreover, algorithmic trading allows for backtesting and optimization, enabling traders to refine their strategies based on historical data. These benefits have made algorithmic trading a preferred choice for both individual traders and institutional investors. In view of these, we've invited a seasoned private independent global market trader “Jose Aranaz” as he shares with us his insightful views on algorithmic trading and its value proposition to our digital economy. Now available on Spotify, Apple Podcast, Amazon Music and affiliated podcast platforms. Contact details of Jose "Joey" Aranaz: [email protected] --- Send in a voice message: https://podcasters.spotify.com/pod/show/edgar-angeles/message