Bin Ren - text2quant (S7E2)

In this episode I speak with Bin Ren, founder of SigTech, a financial technology platform providing quantitative researchers with access to a state-of-the-art analysis engine. This conversation is really broken into two parts. In the first half, we discuss Bin’s views on designing and developing a state-of-the-art backtesting engine. This includes concepts around monolithic versus modular design, how tightly coupled the engine and data should be, and the blurred line between where a strategy definition ends and the backtest engine begins. In the second half of the conversation we discuss the significant pivot SigTech has undergone this year to incorporate large language models into its process. Or, perhaps more accurately, allow large language models to be a client to its data and services. Here Bin shares his thoughts on both the technical ramifications of integrating with LLMs as well as his philosophical views as to how the role of a quant researcher will change over time as AI becomes more prevalent. I hope you enjoy my conversation with Bin Ren. ====== Corey Hoffstein is the CEO and CIO of Newfound Research and portfolio manager of the Return Stacked® ETF Suite. Corey is an active researcher and his work has been published in the Journal of Indexing and the Journal of Alternative Investments. He is also the host of the popular quantitative investing podcast Flirting with Models. Corey holds a Master of Science in Computational Finance from Carnegie Mellon University and a Bachelor of Science in Computer Science, cum laude, from Cornell University. Follow Corey Hoffstein: ▶ Twitter: https://www.twitter.com/choffstein — Follow Flirting with Models: ▶ Apple: https://podcasts.apple.com/us/podcast/flirting-with-models/id1402620531 ▶ Spotify: https://open.spotify.com/show/1IXldCXztfTaZeHbtcDRQI Follow Return Stacked: ▶ Portfolio Solutions: https://www.returnstacked.com ▶ ETFs: https://www.returnstackedetfs.com

GPT-4正在为你翻译摘要中......

翻译全文