Q5: Max Margenot – Good (and Not So Good) Uses of Machine Learning in Finance

Michael shares his journey from aspiring NFL athlete to successful day trader. After a sports injury dashed his football dreams, he turned to day trading, teaching himself the ropes and overcoming ear...

19 Kesä 202457min

Tony Greer, a Long Island native, ventured into Wall Street trading inspired by his father. With a background in business management from Cornell University, he honed his skills at Sumitomo Bank, UBS,...

4 Kesä 20241h 15min

Starting in classical violin and computer programming, Marsten Parker's path took a transformative turn when he ventured into trading. Despite a rocky start, his disciplined, algorithm-driven approach...

21 Touko 20241h 8min

Trading commodities since 14 years old, Professor Hanke started learning the importance of closely following macro economic factors which impact the prices of currencies, commodities and consumer good...

8 Touko 20241h 16min

Saad Filali, worked for Goldman Sachs, specializing in Mergers and Acquisitions, then left and became a Trader. Understanding the thinking and trading styles of the many different market players is ke...

24 Huhti 20241h 8min

Unlock the secrets to superior mental sharpness and explore groundbreaking strategies to boost your cognitive function, from nutrition hacks and exercise tips to innovative biohacking techniques. Ben ...

3 Huhti 20241h 9min

The lure of the markets seduced a successful musician into full time trading at a prop firm. Collaborating with other traders, Garrett Drinon learned the market signals, and other ingredients which go...

14 Maalis 20241h 10min

As a risk officer with the Chicago Mercantile Exchange, Will Gogolak was setting margin requirements and saw a wide variety of traders’ accounts and what separated the winning traders from the losing ...

20 Helmi 20241h