Quantitative Decision Lab
Build a market idea.
Test it.
Then try to break it.
EPSILON turns market ideas into explicit research experiments—then keeps the assumptions, missing evidence, and failure conditions visible.
Why it exists
A backtest produces an answer. EPSILON shows what makes it fragile.
A convincing result can come from the assumptions, test window, sampling process, or execution model. EPSILON keeps those choices attached to the result instead of hiding them behind a performance number.
The product does not promise certainty. It makes the research question, evidence boundary, rejection rule, and next test visible in one continuous workspace.
The objective is disciplined iteration: form a claim, test it, expose its limits, and update without rewriting history.
One product · one research loop
Observe. Test. Interrogate. Retest.
Every workspace advances the same active experiment instead of opening a separate product.
Evidence discipline
The limitations are part of the result.
EPSILON is designed to resist the easiest form of self-deception: quietly changing the meaning of evidence after seeing the output.
Open Strategy Lab →Claims stay claims
A hypothesis is never presented as an observed fact.
Unknown stays unknown
Missing provider or execution details are not filled with plausible guesses.
Failed tests survive
Negative, stale, and failed evidence remains visible instead of being tuned away.
Source & continuity
The original desktop project, the web laboratory, and the research record remain in one repository.
History is preserved. Public routing is simplified. Distribution claims remain limited to what can be verified.