On Jim Simons // "The Man Who Solved The Market"

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Jim Simons passed away today. In memory, I was reviewing some of my notes on his journey and learnings (mainly drawn from the book “The man who solved the market”) and thought I’d share my raw notes & personal book review more broadly. Enjoy!

  • Simons had an insight that markets had structure - he then hired big brains to prove this out

  • Quant was very much looked down upon until it started working (and computers got more powerful)

  • “Emperors want empires” —> “Jim wants to do things that matter. If he was going to do a fund, he wanted to be the best”

  • Simons was a stubborn optimist —> held out and motivated (stock trading) over a long period of time

  • Became a world renown mathematician, code breaker, and create a world class math department all before 40

    • Liked to do unusual things that others didn’t think was possible

    • Was always interested in trading and making money on the side

  • Rentech’s main strategy was based on reversion to the mean

    • “We make money from the reactions people have to price moves”

  • Work with the smartest people you can

  • Be persistent, don’t give up

  • Be guided by beauty

    • Way a company runs, experiment, etc there’s a sense of beauty when something is working well, almost an aesthetic to it

  • “Do what you like in life, not what you feel you should do”

  • Understood at an early age that money is power. Didn’t want people to have power over him

  • Left at late 30s to start trading bc he thought it was possible to find structure in markets

  • Went through several partnerships

    • First few years was all intuition based trading

    • Next was more quant based

  • Straus was a data guy who discovered his passion was gathering data

  • Spent a lot of time and half funds AUM for venture capital

  • Some academics were “super smart” but not original thinkers

    • Simons sought out latter when making stony brook math department

    • Valued “killers” - those with a single minded focus

  • Switched to short term trades and investing

    • Had significantly more success

  • Got better at “sizing bets”

    • If you trade a lot, need to be right less and need smaller edge

  • Simons finally had success with futures trading group

    • Strategies stopped working past 600M fund

    • Exploiting faults of fellow speculators

  • Mercer and Brown joined from IBM

    • Used statistical arb to predict next word for speech translation and NLP

    • Applied and created large stock trading models

  • Mercer didn’t believe in efficient govt spending after a summer in a lab

  • Recruited people specifically who were smart, bored, and not already in Wall Street

    • Less of a chance they’d jump ship to another firm

  • Claimed that financial experts can’t explain how market went up

  • Grew the fund to 5 billion with Mercer and brown leading it mainly

  • Beat market all the time

  • Lots of internal strife

    • New researchers vs old ones

    • Two left to competing firm (first time happened)

  • Created new funds for longer term investment

    • Grew to 30B AUM but then back down to singles digit B

  • Key requirement - everyone needed to interact, debate, and share ideas

  • Had a single monolithic trading system

    • Made it easier to add algorithms to it

  • Culture of unusual openness

  • Peer pressure became a crucial motivational tool

    • Burned to impress each other (or at least not embarrass)

    • Self worth was determined by how much progress one made

  • Comp was a formula tied to how much the firm made overall

    • Highly aligned incentives

  • Simons pushed for results within weeks, an urgency that held appeal over academia

  • People were paid millions (sometimes tens of millions) and could invest in medallion (some also took loans to invest more)

  • Believed the model reflected reality - not that it was the truth

    • Helped avoid LTCM crash

    • Ask if trading signals are sensible

  • Started using basket of stock options from banks to lever up and trade

  • “Best at estimating cost of trade”

  • “Right 50.75% of time, but 100% right 50.75% of the time”

  • Started masking their trading signals to avoid competitors

  • Rentech doesn’t try to predict individual stocks - rather anticipate stock moves relative to other stocks

Fun good read on Jim Simons and rentech. The firm has been a fascination for me for years so it was nice to finally have more detail on how it started and became so famous. It’s so impressive how he reached the pinnacle in multiple areas (mathematics, code breaking, investing), and all oriented around a north star of solving really hard problems. Clearly he was very driven from the start and wanted to tackle larger things for both personal, but more importantly, for beauty & aesthetic reasons. It’s a lens on doing good work that I hadn’t heard before.

I was surprised by how much trouble Simons had — almost a decade — before he started seeing really good results. Despite being a math genius, he only started being successful after building a brilliant team to help make the necessary discoveries. He hired the right people, created the right environment, took care of logistics, and pushed on a key insight (model to trade). He couldn’t have done it by himself.

Another surprise was how contrarian quant investing was when he got started. There was clearly a “why now” with the timing of computing power and it being an inflection point to allow the data they collected previously to actually be turned into something useful.

4.5/5 — Great for investing nerds who want want to go a level deeper on one of the most storied and secretive firms, and the man behind it.

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