
Sign up to save your podcasts
Or


Princeton-trained quantum physicist Revant Nair walked away from string theory to build investment models that use the same principles governing the universe. Mind-bending, first-principles investing.
Full Show NotesMost investors rely on spreadsheets, news, and gut feel. Revant Nair relies on parsimony, falsifiability, and out-of-sample prediction — the exact same modeling rules used in quantum mechanics and general relativity.
In this episode you’ll discover:
If you’ve ever wanted to see markets through the eyes of a real theoretical physicist, this conversation will permanently change how you think about risk, return, and reality itself.
Connect with Revant & FMI Tech LinkedIn → Revant Nair Website → fmitech.com
If this episode rewired your brain, share it with one thinker who still believes in first principles.
Chapters00:00 – Intro: From string theory to decoding markets 01:06 – The three physics modeling rules that destroy 99 % of financial theories 04:20 – Parsimony: Why fewer assumptions = stronger predictions 06:45 – Falsifiability: The test almost no Wall Street model passes 09:10 – Out-of-sample prediction: The only proof a model isn’t lying 12:30 – How turbulence theory, fractals, and symmetry appear in price data 17:40 – Why over-fitting is the silent killer of alpha 21:15 – The danger of “tweaking until it fits any data” 25:00 – Markets as complex adaptive systems (just like nature) 28:40 – Advice to his younger self: Question every sacred cow 31:47 – Getting Real: Authenticity in an age of AI and social media distraction 33:05 – Closing thoughts & how to connect
Keyword Search TagsRevant Nair, FMI Tech, quantum physics investing, first principles investing, Princeton physicist, string theory markets, falsifiability finance, parsimony investing, out-of-sample prediction, financial modeling physics, symmetry markets, fractals trading, turbulence theory finance, complex systems investing, authentic leadership, AI distraction, Gen Z self-awareness, legacy thinking
By Dan DiSciulloPrinceton-trained quantum physicist Revant Nair walked away from string theory to build investment models that use the same principles governing the universe. Mind-bending, first-principles investing.
Full Show NotesMost investors rely on spreadsheets, news, and gut feel. Revant Nair relies on parsimony, falsifiability, and out-of-sample prediction — the exact same modeling rules used in quantum mechanics and general relativity.
In this episode you’ll discover:
If you’ve ever wanted to see markets through the eyes of a real theoretical physicist, this conversation will permanently change how you think about risk, return, and reality itself.
Connect with Revant & FMI Tech LinkedIn → Revant Nair Website → fmitech.com
If this episode rewired your brain, share it with one thinker who still believes in first principles.
Chapters00:00 – Intro: From string theory to decoding markets 01:06 – The three physics modeling rules that destroy 99 % of financial theories 04:20 – Parsimony: Why fewer assumptions = stronger predictions 06:45 – Falsifiability: The test almost no Wall Street model passes 09:10 – Out-of-sample prediction: The only proof a model isn’t lying 12:30 – How turbulence theory, fractals, and symmetry appear in price data 17:40 – Why over-fitting is the silent killer of alpha 21:15 – The danger of “tweaking until it fits any data” 25:00 – Markets as complex adaptive systems (just like nature) 28:40 – Advice to his younger self: Question every sacred cow 31:47 – Getting Real: Authenticity in an age of AI and social media distraction 33:05 – Closing thoughts & how to connect
Keyword Search TagsRevant Nair, FMI Tech, quantum physics investing, first principles investing, Princeton physicist, string theory markets, falsifiability finance, parsimony investing, out-of-sample prediction, financial modeling physics, symmetry markets, fractals trading, turbulence theory finance, complex systems investing, authentic leadership, AI distraction, Gen Z self-awareness, legacy thinking