Evidence-first quantitative research
From a market question to a defensible trading decision
See how NeoQuant turns an earnings screen into sourced candidates, point-in-time data, an out-of-sample test, risk limits, and a paper-trading checklist.
The connected example screens point-in-time S&P 500 members for companies that beat both EPS and revenue estimates, trade below a price ceiling, and pass a liquidity floor.
Axiom locks the event hypothesis. Ledger verifies constituents, estimate timing, earnings releases, and adjusted prices. Sentinel runs adversarial validation against explicit costs and untouched holdout events.
Scout provides sourced screening now. Risk and paper-operation stages remain labeled by availability, and no performance number appears unless code was executed against a frozen dataset.