AlgoTrading101 Instructors
Lucas Liew
Lucas bought his first stock when he was 17 thanks to his Mum’s influence. Thanks Mum!
He was a trader wannabe (like everyone else) for many years until he joined a trading firm and met a generous mentor who opened his eyes to proper trading (market-making, not drawing triangles on charts).
He worked at a proprietary trading firm, hedge fund and taught financial programming to the Government of Singapore Investment Corporation (GIC), one of the largest sovereign wealth funds in the world.
Lucas manages a ~8-digit portfolio (of his own money).
He has been featured on Investopedia and is one of the most viewed writers on Algorithmic Trading on Quora.
You can read more about him on the AlgoTrading101 Blog and Quora.
Lucas designed AlgoTrading101 to be the education program he wished he had when he started trading
Here is his story on why he started this course: “Why Do I Teach and Do I Find Meaning in Trading”
Igor Radovanovic
Inspired by the workings of the Fintech industry, psychologist and machine learning engineer Igor decided to test his skills in that field.
His previous work and interests focused on bridging the gap between psychology and AI. He is currently a Software Engineering Team Lead at OpenBB Inc.
He has been contributing to the AlgoTrading101 Blog with articles on trading, data science, security, exchanges, portfolio optimization, and more. He’s also an instructor for several AlgoTrading101 mini-courses on topics such as algorithmic trading bot security and QuantConnect.
The quote Igor lives by is:
“As far as we can discern, the sole purpose of human existence is to kindle a light in the darkness of mere being.”
Carl G. Jung: Memories, Dreams, Reflections (1962) ch. 11
You can learn more about him by reading the AlgoTrading101 Blog or by visiting his website.
About the AlgoTrading101 program
AlgoTrading101 started as a response to the many get-rich-quick schemes and shady trading courses around.
We wanted to build a program that tells us the honest truth about trading and teaches the core concepts and skills required to succeed. Essentially, we wanted to create something we wished we had when we started trading.
In 2014, AlgoTrading101 began as a side-project. We had hundreds of sign-ups on the first day of launch, one thing led to another, and here we are now.
Our usual disclaimer, trading is a really tough way to make consistent money. There are other ways to have higher risk-adjusted returns. We recommend trading only if you enjoy the process.