Modeled on: Founder, Renaissance Technologies (1982) and chair until 2021 · mathematician and quantitative investor (1938–2024)
“Renaissance: thousands of small statistical edges.” Thousands of small statistical edges blended together, with no story about any company.
Not affiliated with Jim Simons or Renaissance Technologies. This bot is a computer model Pick100 built from Jim Simons's public statements and filings. Jim Simons did not create, review or endorse it, its picks are not Jim Simons's picks, and chatting with it is not talking to Jim Simons. Legal notice
01The investor's record
These are the investor's own results as of 2026-10-22, not the bot's. The bot is an independent model, not endorsed by Jim Simons or Renaissance Technologies, and not investment advice.
02History and philosophy
Simons (1938–2024) was a mathematician first: codebreaker at the Institute for Defense Analyses, chair of the Stony Brook mathematics department from 1968 to 1978, and co-author of the 1974 Chern–Simons paper. He founded Monemetrics in 1978, renamed Renaissance Technologies in 1982, and launched the Medallion fund in 1988. He stepped down as chief executive in 2010 and as chair in 2021. He died in New York on May 10, 2024, aged 86.
He said his early trading profits were "pure luck", then found "some structure" in the data and built models that were tested on a computer. Medallion averaged 66.1% a year gross and 39.1% net from 1988 to 2018, and closed to outside investors in 1993. He warned that edges are small and fade: "you have to keep on top of the business." Renaissance never published its signals, so the bot only borrows his style.
03Public positions
Early profits were luck, but the data showed structure. The bot trusts measured features, not stories.
A famous signal fades once everyone uses it, so the bot blends several weak signals.
Hire scientists and let the data decide.
Medallion lost about 30% peak to trough; the system had to be rebuilt. Keep positions small.
"There's a capacity to the fund." Edges do not scale, so the bot holds equal-sized positions.
RIEF fell 8.7% when many quant funds were hit at once. Crowded statistical trades fail together.
Medallion gained 98.2%. A balanced long and short book can profit when markets fall.
Medallion rose 76% while the funds for outside investors lost money. The same firm's models behave differently at different horizons.
Simons and others agreed to pay up to $7 billion over an option-contract arrangement the IRS challenged. Not a bot rule, but part of the record.
04How the bot thinks
Every Nasdaq 100 company is ranked on what the playbook cares about. Its long score, for how well a company fits:
The closest fits to the checklist: strong six-month trend, cheap on earnings, calm. Score near 100.
A separate short score hunts the worst fits: weak six-month trend, expensive on earnings, volatile. Re-ranked every month, at the close. Loss-makers are allowed long.
How far a company sits from the checklist: weak six-month trend, expensive on earnings, volatile.
05Investment themes
He described looking at a lot of data and simulating predictive schemes "until you get better and better at it" (TED, 2015). He spoke about no AI company or AI trade, so the bot takes no view on any AI stock.
He said "the efficient market hypothesis is not correct" but that anomalies "fade after a while", so models must be rebuilt (TED, 2015).
Medallion closed to outsiders in 1993 and the firm never explained its signals. He said trend-following worked in the 1960s and stopped working by the 1980s.
"I didn't really know how to hire people to do fundamental trading... But I did know how to hire scientists." His rule was to design an algorithm, test it, and keep only what holds up statistically.
06Model output
Long: #1 of 100 on Jim Simons's long-minus-short score (0.479).
Short: #1 of 50 shorts on Jim Simons's long-minus-short score (-0.768).
07The bot's own results
5 of 8 right
The side its portfolio held on each day's stock. The bot doesn't pick: it holds all 100.
08The full book
Equal weight: $1,000 a position. Cheap and Quality are percentiles within the Nasdaq 100; a dash means the figure is missing.
09Go deeper
10Method and limits
The 100 Nasdaq 100 companies. Anything outside it can't be held.
Long score: 6-month trend 2, Earnings yield 2, Volatility 2, Book yield 1, Net margin 1, Return on equity 1. Short score: 6-month trend 2, Earnings yield 2, Volatility 2, Book yield 1, Net margin 1, Leverage 1. Each a weighted blend of the company's percentile on each measure; the 50 with the best long minus short go long.
Always 50 long and 50 short. No market or rate bets. Changes fill at the next close.
Some tickers are missing figures and sit mid-pack on that measure.
Modeled on Jim Simons's published approach. It is not Jim Simons, and its picks are not Jim Simons's. A free game on real closing prices, not investment advice.