Find stronger candidates
Screen liquid equities, assemble current evidence, and compare ranked opportunities without losing the rejected names or reasons.
AI-assisted quantitative research
QuantComet
Turn market noise into testable conviction.
AI-assisted stock screening, rigorous quantitative validation, transparent risk controls, and guarded paper trading in one evidence-first workspace.
- Research only
- Point-in-time evidence
- Costs made visible
Multi-agent screening
Leakage-aware validation
Paper portfolios
Usage and cost records
One disciplined research loop
AI proposes. Evidence decides.
QuantComet combines generative reasoning with deterministic tests, so a persuasive narrative never substitutes for measurable evidence.
Challenge the thesis
Specialist agents analyze fundamentals, technicals, catalysts, bearish counterarguments, strategy fit, and risk before a final verdict.
Test what survives
Run simulations, holdouts, stress tests, benchmark comparisons, and locked validation with explicit costs and reproducible inputs.
Track without pretending
Build paper portfolios, inspect positions and drawdowns, and keep real execution restricted to administrators and disarmed by default.
From question to paper evidence
A workflow built to disagree with itself.
- DiscoverFilter the market and freeze the evidence available at the decision time.
- DebateLet bull and bear agents expose assumptions, missing evidence, and asymmetric risks.
- ValidateMeasure later-period behavior, drawdowns, costs, stability, and failure gates.
- Paper-trackMonitor a bounded research candidate without presenting it as advice or sending live orders.
The work stays inspectable
See the verdict, the dissent, and the bill.
Every completed screening keeps the agent transcript, model usage, token counts, estimated cost, mandate, proposed strategy, and novice-readable decision together.
Explore the platform
A deliberate boundary
Built for research, not promises.
Markets are uncertain and backtests can mislead. QuantComet labels research status, records exclusions, prevents member access to shared broker execution, and never turns an AI opinion into automatic authority.
Read the methodologyStart with a bounded allowance
Build a research record you can challenge.
Free accounts begin with two agent screening runs per day, twenty per month, one million model tokens per month, and one concurrent research job.