Find out if a strategy is real before you trust it.

Describe an idea or bring a paper. We find the research behind it, replicate it on professional-grade historical data and put it through strict method tests. You get a verdict, the reasons, and a fact sheet you can compare.

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Verdict Illustrative Not certified

Earnings-revision drift, large caps

Replicated from a published paper, spec frozen before the run

  1. Paper replicationready
  2. Method testscomplete
  3. Comparable fact sheetavailable

Reason: the result cannot be distinguished from chance.

Example of a verdict layout. Not a real result; no performance figures shown.

Every strategy looks good in a backtest. What matters is what survives real costs, real data and honest counting.

A backtest is a claim, not evidence.

Papers report results on cleaned data, without trading costs, after trying more variants than they mention. Re-run them honestly and the effect often shrinks or disappears.

Checking this properly takes weeks per paper: the data, the code, the statistics. Most people skip it, and the gap between the paper and reality ends up in their P&L.

A synthetic equity line climbs steadily while the paper's sample lasts, then goes flat and noisy once new data arrives. Paper ends We start Time
Most published edges shrink out of sample. We measure how much, for each strategy, with costs.

How it works

Scroll to follow one idea through the pipeline.

  1. Idea

    Describe a strategy in plain words, or paste a paper.

  2. Evidence

    We search the literature and show which papers support or contradict it.

  3. Replication

    The paper becomes a frozen spec and code, run on professional-grade historical data.

  4. Verdict

    Each strategy goes through our method tests and gets a clear verdict, with the reasons.

  5. Fact sheet

    A comparable profile of how the strategy behaves.

What you can do

  • Start from an idea, get the evidence

    Describe a strategy in plain words, or bring a paper. The system searches the academic literature, picks the papers that actually test the idea and shows whether the evidence supports or contradicts it.

    It checks that the numbers a paper reports appear in the paper itself, turns it into a frozen spec and code, and tests it on professional-grade historical data. You can also ask the paper questions directly.

  • This week in research

    A weekly digest of new research papers in finance, each with a short summary. Papers that propose a testable stock strategy are listed first.

    One click turns a paper into a test.

  • Know why it passed or failed

    Every test returns a verdict with a plain-language reason, plus a fact sheet you can compare across strategies: Sharpe, information ratio, alpha and beta against the market, correlation, maximum drawdown, turnover, breakeven cost, upside and downside capture, behavior in crises (2008, COVID 2020, the 2022 rate shock), concentration in the top names and parameter sensitivity.

    You set the thresholds on these characteristics, not us.

  • Coming soon

    Improve it without overfitting

    On the roadmap: suggested improvements, explained by decomposing the data. Every variant counts as a new trial and raises the statistical threshold, and the final evaluation is performed on a holdout period not used at any earlier stage.

Who it's for

  • Independent quants

    Test the papers you read without building a data and statistics stack first.

  • Trading firms

    Screen ideas fast and drop the ones that fail before they cost desk time.

  • Funds

    Comparable, reproducible evidence for your research and due-diligence process.

Principles

  • No performance numbers here

    This page shows how we judge strategies, not returns.

  • Public trial counting

    Every trial raises the required standard, and the count will be public from launch.

  • Reproducible

    Each result is tied to the code version and the data that produced it.

  • Research, not advice

    We don't manage money and we don't give personalized advice.

Questions

Are you an investment adviser?

No. This is a research tool. We don't manage money, recommend trades or give personalized advice.

When will access be available?

Invitations go out in small waves, and we onboard each one personally.

What data do you use?

Professional-grade historical data. Each result is tied to the exact data and code that produced it.

What does "certified" mean?

That the strategy passed all of our method tests. It says nothing about future returns.

Will you show the strategies that fail?

Yes. A failed test is a result too, and we publish it with the reasons.

See what holds up before you trust it.

Request early access

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Privacy notice

We collect what you enter in the access form: your email and, if you choose, your name, role, capital band, the idea you want tested and whether you're open to a call. We also record the page language, the site that referred you and campaign tags in the link, if any.

We use this only to manage early-access invitations and to contact you about them. We don't sell it or share it for advertising. It is stored with our database provider.

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