Demo — data frozen as of 06/12/2026. This project is no longer maintained. Source code
Augur

Trade the probabilities,
not the predictions.

NQ and ES futures data from 2008 to 2026. Every edge is shown against its baseline, with the sample size in plain sight — so you know exactly how strong a setup really is.

55 stat familiesNQ and ES futures dataOpen source · MIT
Gap Fill
Gap up → Filled · NQ Daily
62.8%-1.88 pts
vs 64.6% baseline · N = 2,444
Monday54.5%-3.42 ptsN = 468
Tuesday64.8%-1.21 ptsN = 497
Wednesday66.1%-1.54 ptsN = 519
Thursday63.3%-1.46 ptsN = 480
Friday64.6%-2.29 ptsN = 480

Coverage across the instruments you actually trade

NQ · Nasdaq-100ES · S&P 500RTH & ETH sessions2008 – 20265min → monthly
Why Augur

Edges you can actually trust

No black boxes, no curve-fit signals. Just transparent conditional statistics with the context you need to judge a setup with confidence.

Baseline-relative edges

Every probability is shown next to its unconditional baseline whenever one applies. A 56% hit rate means nothing until you know the base rate — we put both side by side.

Sliced every way

Drill into stats by weekday, size bucket, prior-session candle, or session close color. Each slice carries its own sample size so thin buckets never mislead you.

Open source, end to end

The stats engine (Python) and this site (Next.js) are both MIT-licensed on GitHub. This demo runs on a frozen snapshot of aggregated results — no live backend, no database.

Sample size next to every edge

Every probability ships with its N — the exact number of observations behind it — right next to the edge versus baseline, so you can judge a thin slice for yourself.

How it works

From the catalog to a stat in two clicks

  1. Open the demo

    No account required — every stat is unlocked.

  2. Browse the stat catalog

    Open the dashboard and explore stat families for NQ and ES — gaps, opening drives, range extensions, weekday seasonality and more. Filter to what fits your style.

  3. Trade with context

    Read the edge against its baseline, check the sample size.

Open source, end to end

The stats engine and this site are both open source on GitHub, and this demo runs entirely on a frozen snapshot of aggregated results — no signup, no backend.