Recent content on Principia Mundi
Hi! I’m Anshuman. I consider myself a wild-eyed hacker, full-stack AI leader, machine learning systems engineer, deep learning researcher, quant trader, and entrepreneur, roughly in that order. A little bit more about me # Deep Learning and LLMs # I am currently running the Engineering team at Brainchain AI, where we strategically use LLMs at scale to help navigate supply chain disruptions,…
v1.0 - Initial draft ‘Traders, trading, in a bazaar’ by Stable Diffusion What I’ll talk about # I started Didact AI in 2019, out of a firm belief that stock picking engines built on top of machine learning models could consistently beat the market, gaining and retaining profits.
Photo by Tom Barrett on Unsplash Back in March 2020, when I came up with my basic market regime model, a lot of folks asked me to help them track when it would be safe to get back into markets.
Spice traders of yore, via Stable Diffusion. I was listening to an episode of the Excess Returns podcast (great show BTW, well worth a listen), titled “Why eliminating discretion from quantitative models is harder than you think”, and I was struck by one of their claims.
Urns and colored balls, via Stable Diffusion. Financial speculation is a different beast compared to personal finance. Though the two subjects feed off each other, speculation is more focused on gaining capital through a combination of deep understanding of financial markets, ability to execute, and large dollops of luck.
A visual rendering of how markets felt in March 2020 Context: This post was written during the depths of the COVID-induced market panic. When do we buy? When do we sell?
Times Square, via Unsplash * With apologies to Aleph One of buffer overflow fame Using Didact AI’s deep learning-powered equity analysis engine to automatically discover M&A candidates and beat the market