Can Bitcoin predict the stock market? In this episode, we dive deep into groundbreaking research that suggests Bitcoin could act as a leading indicator for the U.S. stock market! We break down what that means, how technical analysis works, and why Bitcoin's price movements might signal shifts in the S&P 500 before they happen. Our AI hosts explore key concepts like moving averages, market sentiment, and the role of risk-on assets like Bitcoin in today's volatile financial markets....

In this episode, our AI hosts dive deep into the fascinating world of forecasting, where data science meets human intuition. From predicting stock market trends to preparing for the next pandemic, forecasting helps us make informed decisions in an unpredictable world. Join the hosts as they explore popular models like ARIMA and exponential smoothing, break down their real-world applications, and discuss the art of combining data-driven insights with human judgment. For more...

Jason Strimpel rises at 4 am every day to crank out code and write about python in finance through his amazing weekly newsletter, PyQuantNews. If you haven’t subscribed already, go sign up right now; every week Jason sends out some of the best python code for finance. He’s a former practicing quant and current AWS executive with a busy family life, yet he still manages to craft these instant python classics week in and week out. I had the great pleasure of a long conversation with Jason about...

Christina Qi founded DomeYard, a high frequency trading hedge fund. In this incredibly candid interview, she takes us through DomeYard's founding, shutdown, and all the adventures in between. Disclaimer Quantopian provides this presentation to help people learn about quant finance - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation...

This episode is with Thomas Wiecki, who was one of the first Quantopian employees and lead our data science efforts. Thomas is well-known among Bayesian practitioners, as well as the python community. We talk about his perspective on Quantopian, his own company PyMC Labs, what he took away from the whole experience, and what he is interested in creating in the future.

Anju is the founder of Eventvestor. In this episode, he shares his journey and some of the big lessons from building his own company, as well as a prediction for the future role of quant in investing.

If you were at the top of your field in computer science, pursuing post-doc research and publishing frequently, would you consider moving to industry? Would finance be a draw? Many quants start in academic positions and move to finance; a rare few manage to do both. This week we will get to know Yuri Malitsky, who has done top tier computer science research in academia, ML research at IBM Watson, data science and trading at JP Morgan, and most recently he directs product analytics for a major...

Welcome to the Quantopian Retro, a short series of interviews of Quantopian teammates, community members, and outside quants/experts. The goal of the series is to look back on Quantopian and reflect on what went right, what went wrong, and what we can learn from it all. This episode is with Dan Whitnable, erstwhile head of community at Quantopian. Dan was an engineer and started using Quantopian for his own trading. Over time, he became a major contributor to the Quantopian user forums and...

Welcome to the Quantopian Retro, a short series of interviews of Quantopian teammates, community members, and outside quants/experts. The goal of the series is to look back on Quantopian and reflect on what went right, what went wrong, and what we can learn from it all. This episode is with my friend and Quantopian CTO/co-founder, Jean Bredeche. Jean has many strengths, in this episode I hope you will be able to appreciate his easy candor and warmth, hear his motivations, and understand what...