Built on Oliver · Quantitative research

Keep score.

A forecast you cannot grade six months later is an opinion, not research. Oliver holds the prediction, the numbers behind it and what actually happened in one engine — so skill is something you measure rather than something you assert.

every call recorded settled against reality model‑agnostic
The loop

A call is only worth something once it settles.

Every forecast is written down the moment it is made. Time passes, the market does what it does, and each call resolves against what was actually observed — not against a backfilled story about it.

callhorizonsaidoutcome
scoring is a query over the same store, not a pipeline that rebuilds the truth
Why it runs on Oliver

What research needs that a warehouse will not give it.

history

Backtest on everything you kept

Full‑resolution history rather than a sample, so a walk‑forward test runs over what actually happened at every bar instead of a downsample someone chose years ago.

scale

A whole universe, one pass

Sweeping every symbol and every horizon is a single read rather than one query per name — which is the difference between a nightly job and an idea you can try before lunch.

settlement

Predictions and truth, one store

What you said and what happened live side by side, so settling a call is a join. No export, no second system, no reconciling two versions of the past.

series

Built for time, not rows

Horizons in trading time, outcomes taken from observed highs and lows, and a year of chart costing about what a day does.

evidence

Keep the raw number

Store what the model actually said alongside whatever calibration you applied on top. When a day looks wrong, you can tell a broken thermostat from a broken model — and keep the one that was right.

agents

Safe to hand to a researcher

Every key carries its own scope, so an analyst or an agent can explore the record without being handed the keys to all of it.

Bring your own model

The store outlives whichever model is fashionable.

Five different time‑series forecasting engines have been swapped into the same harness without changing what sits underneath them. The interesting question is never which model you ran — it is whether you can still tell, a quarter later, which one was actually better.

Put your research somewhere it can be graded.