Numeraire's first day- A new solo player in the market- with (300% profitability)

in #cryptocurrency7 years ago (edited)

This Is The World's First Cryptocurrency Issued By A Hedge Fund

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Introducing Numeraire

Last year, Numerai proposed a new kind of hedge fund, which allows any data scientist to build machine learning models on our data, and submit predictions to control the capital in our hedge fund.
Today, we are releasing a new money abstraction for Numerai. It begins a new commerce with our data scientists based on long-term alignment not possible with regular money.
It is a new cryptocurrency called Numeraire, and it makes collaboration compatible with self-interest.

A New Cryptocoin For Coordinating Artificial Intelligence on Numerai

Markets work not because anyone is trying to make them work. No one trading in a market is trying to make that market efficient. The efficiency is merely a byproduct of the market participants believing in the value of the money abstraction, and then selfishly trying to get more of it.
A stockbroker would prefer a world of permanent inefficiency so he can make money from it. A hedge fund would prefer permanent information asymmetry where it can extract rent on data that no one else has. In the stock market, no one wants the market to be efficient.

The problem here is that self-interested market participants trading with all their might to earn more money are not in alignment over a goal. They are adversaries. They have no incentive to work together, to share knowledge, to share data or share code to improve the market. Finance is anti-collaborative, and that hinders progress, big league.
You may think that the problem lies with the self-interest of market participants. A solution may be to curb and regulate self-interest. But regulating self-interest is morally abhorrent. The problem isn’t with self-interest. The problem is with money itself.

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Statecraft on the blockchain

Money was invented to solve the coincidence of wants problem and facilitate transactions. But as fiat currencies continue to lose relevance into the 21st century, cryptocurrency presents solutions far beyond money transfer. Cryptocurrency can now be used to incentivize cooperation in populations.
With cryptocurrency, money can now be software. There can be programmed rules for how money behaves. The ability to program money seems subtle, but small changes to the rules of money can have large effects on the behavior of the holders of that money. For a historical example of primitive money software influencing a population, see The Wörgl Experiment of 1932. For a modern example, consider how bitcoin incentivized thousands of people around the world to mine it.
The stock market presents a situation similar to the prisoner’s dilemma. The market would be better off if market participants collaborated, but rationally they don’t. Regular money simply does not incentivize them correctly. Regular money is too low-tech.

A Proof of intelligence

Data scientists collaborate on Numerai already. They share code. They share ideas on Slack. They write blog posts and tutorials. Numerai already has the spirit of a collaborative open software project. But the system design isn’t perfect.
It isn’t economically rational to tell your friends to join Numerai because it isn’t rational to help anyone beat you. There is a finite amount of bitcoin given away each week so the game is zero-sum.
So Numerai, like the market, has negative network effects — and that’s bad. Bitcoin facilitates the trade of dollars for machine intelligence on Numerai but this transaction clears the relationship and connection between Numerai and the data scientist because bitcoin and US dollars have little to do with Numerai. A Numerai data scientist has no economic incentive to tell his data scientist friends about Numerai. He would only be bringing in competition and making it harder for himself to earn bitcoin. But if every data scientist could benefit from the overall network improving then collaboration would become rational and the game would shift to positive-sum.

Today, Numerai issued 1,000,000 Numeraire crypto-tokens to our existing 12,000 data scientists based on their past performance in Numerai tournaments. There will be no crowdsale. Numeraire can be earned right now by competing in Numerai’s data science tournaments. In a sense, Numeraire is mined by data mining Numerai’s data, and submitting predictions is the proof of work.
With 1,000,000 Numeraire now issued, the data scientists on Numerai will all prefer those tokens to be worth more rather than less money. They are all incentivized to make them worth more. But a cryptocurrency without a compelling use case is merely a souvenir with no economic value. Numeraire’s economic value comes from its use inside Numerai.

Staking Numeraire
On Numerai, data scientists can never lose money, they can only win bitcoin. But starting today, there is something to lose in order for there to be more to gain.
When a data scientist submits predictions to Numerai, those predictions are validated against historical data, and Numerai makes payouts based on how well the models performed on historical data. But Numerai cares much more about live performance in our hedge fund than backtesting performance. Staking Numeraire is a way to incentivize live performance and completely disincentivize overfitting. The staking mechanism solves the biggest problem in quantitative finance; it is an economic forcing function to make backtest performance identical to live performance.
When a data scientist submits predictions, they will be able to stake Numeraire on those predictions. This involves sending Numeraire to Numerai’s smart contract on the Ethereum blockchain. After a period of time, the predictions are analyzed. If the predictions are accurate, the data scientist who staked Numeraire on them will earn money. If the predictions are poor, their Numeraire is permanently destroyed.

With Numeraire, there is now a way for data scientists to express confidence in their predictions the same way that traders do: by deciding how much to stake. Through our proposed staking mechanism, Numerai data scientists stand to gain by building models that perform well on live data, and stand to lose on models that overfit the past.
The value of Numeraire is connected to the stake payouts which will increase over time. Since Numeraire allows data scientists to earn more money by staking it, it is sensible to reason about its economic value. For example, the value of all Numeraire to a data scientist with a perfect model is the net present value of all the future stake payouts by Numerai.

Network effects in capital allocation
Nearly all of the most valuable companies throughout history were valuable through their strong network effects. If there is one motif in American economic history it is network effects. Every railroad made the railroad network more valuable, every telephone made the telephone network more valuable, and every Internet user made the Internet network more valuable.
But no hedge fund has ever harnessed network effects. Negative network effects are too pervasive in finance, and they are the reason that there is no one hedge fund monopoly managing all the money in the world. For perspective, Bridgewater, the biggest hedge fund in the world, manages less than 1% of the total actively managed money. Facebook, on the other hand, with its powerful network effects, has a 70% market share in social networking.

Source: https://medium.com/numerai/a-new-cryptocurrency-for-coordinating-artificial-intelligence-on-numerai-9251a131419a

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Nice blog. Interesting to see I'm not the only one that is thinking about this. The price of a coin should depend on the quality of the product, the team behind it, if proffesional investors believe in it, and a lot more facets. Besides coinmarketcap.com there is: https://www.coincheckup.com Every single coin can be analysed here based on: the team, the product, advisors, community, the business and the business model and much more. For example: https://www.coincheckup.com/coins/Numaraire#analysis For the Numaraire Report.

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