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Product · Quant Lab

AI Quant Lab: master rules, paper backtests, then a $100k book

Compile O’Neil, Turtle, Seykota, Minervini, or Livermore into a paper strategy. Single-ticker Python, or a full pool screen with multi-name signals. Thorp reviews Kelly. Book into the virtual $100k account when you want portfolio feedback — still not live trading.

Open the deskSeating and price

Single ticker vs full pipeline

Compile writes a self-contained yfinance-style backtest for one symbol. Full pipeline screens a liquid pool with master proxies, ranks names, and simulates a multi-name paper path. Use pipeline when you care about selection, not one chart.

Trade-selection odds are not a live signal

The odds card shrinks historical win rate toward 50% by sample size and Thorp edge language. It ranks paper candidates. It does not place an order.

From Lab to the $100k account

After a pipeline run, book buy/hold signals into the virtual account at live marks. Open /dashboard?entry=paper to sync equity. That loop is the SEO job for “paper trading with AI strategies” without pretending we are a broker.

Questions

Is Quant Lab live trading?

No. Paper research only. See /quant-lab.

Which masters can compile?

Timing / exit masters on the Quant Lab roster (e.g. William O’Neil, Richard Dennis, Ed Seykota, Mark Minervini, Jesse Livermore). Seating locks still apply.

Crypto in Quant Lab?

Yes — BTC-USD / ETH-USD style pairs with price/volume rules. No invented equity fundamentals.

Where is the $100k book?

Product hub /paper-trading-account · desk /dashboard?entry=paper.

Related

Register and open Quant Lab

Create an account, compile a master rule, or run the pool pipeline into the $100k paper book. Not live trading.

Create account

Research simulation. Isolated briefs never say you should buy. No order routing.