# nmrdash.com

> Analytics dashboard for the Numerai tournament — stakes, models, rounds, and performance metrics.

nmrdash.com is an independent analytics platform for the Numerai data science tournament. It tracks tournament performance, model metrics, stake economics, and market trends across Classic, Signals, and Crypto tournaments.

## Live Tournament Snapshot

Snapshot date: Apr 7, 2026 · Tournament: Classic (id 8)

- Current round: 1239 (opened Apr 4, 2026)
- NMR price: $7.84
- Total NMR staked: 846,405 NMR (≈ $6,635,816)
- Active staked models: 5,103
- Active staked accounts: 588
- Latest payout factor: 0.0980
- Lifetime resolved rounds: 1,049 (earned 2,413,996 NMR, burned -1,039,351 NMR, net 1,374,645 NMR paid out)
- History coverage: round 168 (Jul 13, 2019) → round 1239

## Top 10 Stakers (Classic)

| Rank | Model | NMR Staked | MMC Rep | CORJ60 Rep |
|------|-------|-----------:|--------:|-----------:|
| 1 | shatteredx | 110,488 | 0.0034 | 0.0229 |
| 2 | cloud_predictor | 61,489 | 0.0007 | 0.0042 |
| 3 | phorex | 38,274 | 0.0010 | 0.0138 |
| 4 | reputation | 25,370 | 0.0086 | 0.0206 |
| 5 | aininja | 18,296 | -0.0015 | 0.0050 |
| 6 | super_model | 13,585 | -0.0000 | 0.0091 |
| 7 | ummon | 12,597 | -0.0014 | 0.0136 |
| 8 | dn_faith_tc | 12,159 | 0.0023 | 0.0207 |
| 9 | belixrogner | 10,451 | 0.0020 | 0.0178 |
| 10 | roadrunner | 10,002 | 0.0004 | 0.0115 |

## Recent Resolved Rounds (Classic)

| Round | Date | Type | Submissions | Stakers | Total Staked (NMR) | Net Payout (NMR) |
|------:|------|------|------------:|--------:|-------------------:|-----------------:|
| 1216 | Mar 4, 2026 | Daily | 10,939 | 4,227 | 680,339 | 1,574 |
| 1215 | Mar 3, 2026 | Daily | 10,916 | 4,162 | 641,508 | 1,555 |
| 1214 | Feb 28, 2026 | Weekly | 10,780 | 4,095 | 676,118 | 2,062 |
| 1213 | Feb 27, 2026 | Daily | 10,834 | 4,223 | 671,695 | 2,144 |
| 1212 | Feb 26, 2026 | Daily | 10,799 | 4,098 | 662,181 | 1,702 |

## Pages

- [Home](https://nmrdash.com/): Tournament overview with live stats, stake trends, model counts, NMR price, payouts, and staker retention charts.
- [Rounds](https://nmrdash.com/rounds): Browse all tournament rounds with stakes, payouts, submissions, and status filters.
- [Leaderboard](https://nmrdash.com/leaderboard): Searchable model rankings by MMC, BMC, CORJ60, FNCv3 reputation scores, and 13w/52w returns.
- [Trends](https://nmrdash.com/trends): Long-term analytics — cumulative performance, payout trends, participation, stake growth, round economics, staker retention.
- [Models](https://nmrdash.com/models): Aggregate model analytics — stake concentration, turnover, effective N, payout ROI by tier, stake-weighted age.
- [Articles](https://nmrdash.com/articles): Data-driven analysis of Numerai tournament dynamics.
- [About](https://nmrdash.com/about): Project info, data sources, tech stack, and disclaimer.

## Articles

- [The Payout Factor: Numerai's Hidden Lever](https://nmrdash.com/articles/the-payout-factor): How Numerai's payout factor works, what drives it, and why it shapes staking returns more than any single model score.
- [The Numerai Meta-Model: Stake Concentration and Effective N](https://nmrdash.com/articles/the-meta-model): How Numerai's stake-weighted meta-model works, who controls it, and why the effective number of independent models has fallen from ~175 to ~50.
- [Numerai Submission Scores: From Day 1 to Resolution](https://nmrdash.com/articles/submission-score-journey): Daily Numerai submission scores are noisy early and converge late. We measure how predictive day-one MMC is, and when rankings actually stabilize.
- [Stake-Weighted Age: Is Numerai's Meta-Model Getting Older?](https://nmrdash.com/articles/stake-weighted-age): Stake-weighted model age has climbed past 1,700 rounds. Here is what that means for newcomers, veterans, and the quality of Numerai's meta-model.
- [Numerai's Institutional Footprint in SEC Filings](https://nmrdash.com/articles/sec-institutional-footprint): 13F quarterly disclosures and Form ADV registrations show which institutions hold NMR-related positions and how adviser AUM around Numerai is trending.
- [Round Economics: Where Does the NMR Go?](https://nmrdash.com/articles/round-economics): Round-level NMR flows in the Numerai tournament — how much is earned, how much is burned, and whether the tournament remains net positive-sum for participants.
- [NMR Token Economics: Burns, Stakes, and Deflationary Pressure](https://nmrdash.com/articles/nmr-token-economics): NMR token economics explained with on-chain data. An 11M hard cap, permanent tournament burns, locked stake, and what the charts actually show.
- [Numerai Model Survival: Who Lasts and Who Burns Out](https://nmrdash.com/articles/model-survival): Half of new Numerai models stop staking within ~200 rounds. Survival curves, retention, and the early signals that predict who lasts.
- [MMC vs Correlation: What Numerai Actually Pays For](https://nmrdash.com/articles/mmc-vs-correlation): We compare high-MMC and high-CORJ60 models across every Numerai round to see which metric drives payouts and how stake concentrates.
- [Numerai Medals and Grandmasters: How the Ranking Works](https://nmrdash.com/articles/medals-and-grandmasters): How Numerai distributes gold, silver, and bronze medals across rounds, what MMC you need to earn them, and why consistency beats peak performance for Grandmaster rank.
- [Market Regimes and Burn Rounds: When Numerai Models Fail Together](https://nmrdash.com/articles/market-regimes): How often Numerai burn rounds happen, whether bad rounds cluster (they do, r=0.77), and why NMR price is a poor predictor of tournament difficulty.
- [Is Staking on Numerai Profitable? A Data Look](https://nmrdash.com/articles/is-staking-profitable): Historical Numerai data shows staking is net profitable in aggregate, with ~2.5M NMR earned vs ~1.1M burned, but individual returns cluster near zero.
- [How Numerai Works: Tournament, Staking, and the Meta-Model](https://nmrdash.com/articles/how-numerai-works): A guide to how the Numerai tournament works — obfuscated data, MMC scoring, NMR staking, and the stake-weighted meta-model that trades real capital.
- [The Diversification Paradox: Why More Numerai Models Isn't Better](https://nmrdash.com/articles/diversification-paradox): Do multi-model Numerai operators outperform? The data on portfolio size, intra-operator correlation, and diminishing returns to running more models.
- [Classic vs Signals vs Crypto: Comparing Numerai's Three Tournaments](https://nmrdash.com/articles/cross-tournament-comparison): A data-driven comparison of participation, stake, returns, and score difficulty across Numerai's Classic, Signals, and Crypto tournaments.
- [Numerai Benchmark Models: The Bar You Need to Clear](https://nmrdash.com/articles/benchmark-models): How Numerai's benchmark_blender performs, where it ranks against staked models, and what beating it actually requires.

For full article content, see [https://nmrdash.com/llms-full.txt](https://nmrdash.com/llms-full.txt).

## Data

All data is sourced from the Numerai GraphQL API and updated daily at 06:00 UTC. The dashboard covers three tournaments:

- Classic (tournament 8)
- Signals (tournament 11)
- Crypto (tournament 12)

Primary metrics tracked: MMC, BMC, CORJ60, FNCv3.

## API

The REST API is publicly available at `https://nmrdash.com/api/`. Key endpoints:

- `/api/overview` — current tournament snapshot (stake, accounts, NMR price)
- `/api/rounds` — paginated round list
- `/api/rounds/:number` — round detail with metric aggregates
- `/api/leaderboard` — paginated model rankings with search
- `/api/models/:id` — individual model profile and performance
- `/api/trends/metrics` — metric time series (mean, median, stake-weighted)
- `/api/trends/cumulative` — cumulative performance over time
- `/api/trends/payouts` — payout totals per round
- `/api/trends/participation` — submission and staker counts
- `/api/trends/stake` — total stake + NMR price per round

All API responses are JSON. Responses include Cache-Control headers for efficient polling.