Oracle profile · 0x7c40…3d64

0x7c40df456a6295c376deef32ba9b9ae768dd3d64

Strong calibration — consistently better than the 0.25 random baseline.

Calibration band: strong · Leaderboard: #170,087 of 502,378

Brier score

0.174

Accuracy

82.2%

Resolved positions

1,078

Resolved volume

$9.1K

Avg outcome rate

17.3%

Avg conf. on correct

81.5¢

Full trader analytics Oracle leaderboard Methodology

Calibration curve

Each bucket groups resolved positions by average entry price. Compare avg price (what the market implied) to outcome rate (how often that side paid). Well-calibrated traders keep those numbers close across buckets with enough n.

Bucket	Avg price	Outcome rate	n	Brier
0.00-0.10	1.0¢	17.0%	1,062	0.167
0.60-0.70	66.5¢	100.0%	1	0.112
0.70-0.80	75.9¢	50.0%	2	0.327
0.80-0.90	85.8¢	100.0%	1	0.020
0.90-1.00	97.9¢	16.7%	12	0.801

Most resolved positions sit in bucket 0.00-0.10 (n=1,062). Heavy concentration in cheap long-shot or near-certain prices can dominate headline Brier — read sparse buckets with caution.

How to read this oracle profile

This page is a resolved-market accuracy dossier for 0x7c40df456a6295c376deef32ba9b9ae768dd3d64. It does not show open positions, mark-to-market PnL, or Smart Score — those live on the full trader analytics page.

Brier — aggregate squared error vs 0/1 outcomes; ~0.25 is a coin-flip baseline.
Accuracy — share of resolved positions that paid in the trader's favor.
Volume / n — sample size. High accuracy on tiny notional is weak evidence.
Calibration — whether cheap entries actually win rarely and expensive ones win often.

Research only — Polydata never executes trades. Cross-check the leaderboard, methodology, and Polymarket analytics before drawing conclusions.