Numeraire (NMR)

Overview

Numeraire (NMR) is an Ethereum-based token used in Numerai’s data science tournaments. Numerai asks people around the world to build models that make predictions about financial markets. Participants can submit predictions for free. They can also stake NMR on their own submissions, tying a token payout or burn to how well those predictions score. Numerai combines staked stock-market predictions into a larger model that helps guide its hedge fund. (docs.numer.ai)

The idea joins two fields that usually work apart: machine learning and blockchain. Data scientists focus on finding useful patterns. NMR gives them a way to back their predictions with a token that can be transferred, paid out, or permanently burned. The token’s main purpose is therefore closely tied to the quality of work done in Numerai’s tournaments. (docs.numer.ai)

History & Team

From a hedge fund to a token

Richard Craib founded Numerai in 2015. The company began with a plan to bring independent data scientists into the work of building a hedge fund’s trading model. Numerai announced Numeraire in February 2017 and deployed the token on Ethereum that June. At launch, it said it had sent more than 1.2 million NMR to 19,000 data scientists, using their earlier tournament performance to guide the distribution. (blog.numer.ai)

The original Numeraire paper lists Richard Craib, Geoffrey Bradway, and Xander Dunn as authors, with Joey Krug also credited. It describes a central problem in model-building: a system can look strong on old data yet perform poorly on new data. Staking was designed to make participants think carefully about how their models would perform after submission, when the answers were still unknown. (numer.ai)

Numerai has received company funding separately from the token’s tournament distribution. Its early backers included Union Square Ventures. In a 2025 financing round, Numerai named Union Square Ventures, Shine Capital, and Paul Tudor Jones among its participating existing investors. That funding supports the company; NMR remains the token used in its incentive system. (blog.numer.ai)

Technology & How It Works

Building and scoring predictions

In Numerai’s main tournament, participants receive financial data whose identifying details have been hidden. They use that data to train models and submit sets of predictions. In the usual submission process, Numerai receives the prediction values while participants keep their model code and training methods. Scores are calculated as later market results become available. (docs.numer.ai)

Numerai uses measures such as correlation, which compares predictions with the outcome, and Meta Model Contribution, which measures how much a submission adds to the combined model. A prediction that offers something different can be useful alongside other strong predictions. Numerai’s stake-weighted Meta Model combines eligible submissions into a signal used by its stock-trading hedge fund. (docs.numer.ai)

Staking is optional. An unstaked submission still receives scores and builds a public track record. A staked submission also takes part in the token payout system and can carry weight in the Meta Model. Positive scores can earn additional NMR; negative scores can cause some of the staked NMR to be burned. The amount involved depends on the tournament’s scoring and staking rules. (docs.numer.ai)

Ethereum and atomic staking

NMR follows Ethereum’s ERC-20 token standard. Numerai also uses smart contracts for staking. Its newer Atomic Blockchain Staking system creates a separate on-chain position for each round, staker, and model. After a round resolves, the participant can claim the position with its payout or burn applied, or claim and restake it in one transaction. This makes each round’s stake distinct from stakes in other rounds. (blog.numer.ai)

Numerai began moving its main tournament to atomic staking for rounds starting August 28, 2026. The change came alongside a longer scoring target. These details matter to participants because predictions need time to be judged against later results; submitting a model and settling its stake are separate steps. (blog.numer.ai)

Tokenomics & Utility

Supply and distribution

NMR has a maximum supply of 11 million tokens. In 2019, Numerai reduced the cap from its original 21 million and ended further minting. Existing tokens move among participants, exchanges, and Numerai’s treasury, while confirmed burns reduce total supply. Numerai publishes token data that separates the maximum supply, current total supply, and tokens held in its treasury. (blog.numer.ai)

Tournament payouts come from existing NMR rather than newly minted tokens. Numerai has also purchased NMR to replenish the treasury used for contributor rewards. This creates a clear link between the token and the ongoing tournament: participants use NMR to stake, and Numerai needs NMR to fund payouts. (blog.numer.ai)

A burn removes tokens from use. In atomic staking, a burn recorded for a round may first be handled within the claim-and-restake process, so a scored loss and a confirmed reduction in token supply need not occur at the same moment. Holding NMR provides tournament utility and the ability to transfer the token. It carries no equity, dividend, voting, or claim on Numerai’s hedge fund profits. (docs.numer.ai)

Ecosystem & Use Cases

Three ways to contribute

Numerai’s main tournament gives participants an obfuscated dataset for predicting stock returns. Numerai Signals takes a different approach: contributors bring their own stock-market data and submit signals built from it. Both let participants stake NMR on their own models, and both can provide information for Numerai’s stock-trading work. (docs.numer.ai)

Numerai Crypto focuses on predictions about crypto assets. It also uses NMR for optional model staking and performance-based payouts or burns. Its purpose within Numerai is distinct from the stock-market hedge fund: Numerai says the fund does not trade crypto or use the Crypto tournament’s combined model. Together, the three tournaments give researchers different kinds of data and prediction problems while sharing NMR as an incentive tool. (docs.numer.ai)

NMR has also been part of Erasure, a set of Ethereum-based tools designed to let people back information with a stake. Numerai developed the protocol to extend its approach beyond the original tournament. In practice, the best-established uses of NMR remain model staking, payouts, and burns across Numerai’s activities. (blog.numer.ai)

Advantages & Challenges

Numeraire gives skilled contributors a direct way to take part in an unusual research system. They can test ideas using tournament scores, retain control of their code in the standard submission process, and earn NMR when a staked model scores well. Numerai, in turn, can draw on many independent approaches instead of relying on one research team. Scoring a model’s contribution to the group also gives participants a reason to look for useful new signals. (docs.numer.ai)

The system asks more of participants than a simple token transfer. Building a model, reading scores, choosing a stake, and following rounds that resolve later all take effort. Results on historical data may differ from results on new data—the issue the original token design sought to address. NMR’s main utility is also concentrated in Numerai’s tournaments and related staking tools, so the ecosystem’s usefulness depends greatly on continued participation and development there. (numer.ai)

Where to Buy & Wallets

Numeraire can be purchased on Coinbase in the United States and on Binance in supported regions. Numerai’s documentation also identifies Uniswap as a way to access NMR through an Ethereum-based exchange. Available purchase methods depend on the platform and location. (coinbase.com)

NMR can be held in an Ethereum-compatible wallet such as MetaMask or in an exchange account that supports it. MetaMask can display ERC-20 tokens through automatic detection or by adding a token manually. The Ethereum NMR contract address is 0x1776e1F26f98b1A5dF9cD347953a26dd3Cb46671; it identifies the token when adding it to a wallet. Numerai’s atomic staking tools also support connecting a wallet to manage tournament positions. (support.metamask.io)

Regulatory & Compliance

NMR sits alongside two kinds of activity: digital-asset use and Numerai’s separately operated hedge fund. In the United States, the IRS requires digital-asset transactions to be reported under its tax rules, including rewards and disposals when applicable. Exchanges serving customers also use identity checks as part of their compliance processes. In the European Union, the Markets in Crypto-Assets framework sets rules for categories of crypto-assets and for firms providing crypto-asset services. (irs.gov)

For Islamic finance, the token’s design and its use both matter. Numerai’s model-staking payouts depend on prediction scores rather than a fixed interest payment on a loan. A Shariah assessment of wider activity would also consider the shares selected and the methods used to trade them. Those are separate questions from how NMR moves between a participant’s wallet and a tournament stake. (docs.numer.ai)

Future Outlook

Numerai’s development has continued beyond the first stock-prediction tournament. Its move to atomic staking, updates to tournament datasets, and tools for automated model-building show where its work has been focused: making it easier to submit, test, and back useful predictions. How much NMR is used over time will be shaped by participation in those tournaments and by Numerai’s need to keep funding payouts from its existing token supply. (blog.numer.ai)

The project offers a lasting question for both AI and crypto: can a group of independent researchers build a better combined signal when each person’s contribution is measured against later results? NMR provides the staking and payout mechanism for Numerai’s answer to that question. (docs.numer.ai)

Summary

Numeraire is an ERC-20 token built around data science tournaments. Participants use NMR to stake on their own predictions, receive performance-based payouts, and account for burns when models score poorly. Its limited supply and close connection to Numerai give it a distinct place in crypto: a token designed to coordinate research contributions for financial-market prediction. (docs.numer.ai)