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Numerai is an AI-run, crowd-sourced hedge fund based in San Francisco. [1] It was founded by South African technologist Richard Craib [1] in October 2015. [2]
Numerai’s trades are determined by an AI, which is fueled by a network of thousands of anonymous data scientists. [1] [3] The provided time-series data is also cleaned and regularized, which comprises millions of samples and 1191 features that has evolved since their inception. [4] The task is to predict the probability of a given sample yielding positive returns. [5]
Numerai's investors include Paul Tudor Jones, [6] Naval Ravikant, and Howard Morgan of Renaissance Technologies. [1]
In terms of performance, Numerai's hedge fund has achieved positive returns since its inception. According to most recent Bloomberg report, [7] Numerai had received $100 million in inflows in 2022 and returned 20% to investors despite a market downturn that saw the value of several cryptocurrencies erode by more than 90%.
References
- ^ a b c d "An AI Hedge Fund Created a New Currency to Make Wall Street Work Like Open Source". WIRED. Retrieved 2017-08-09.
- ^ Wigglesworth, Robin (2016-04-18). "Artificial intelligence-focused Numerai raises $1.5m". Financial Times. Retrieved 2023-06-12.
- ^ Roof, Katie. "Numerai is a crowdsourced hedge fund for machine learning experts | TechCrunch". Retrieved 2017-08-09.
- ^ Parmar Prakashchandra, Surajsinh. "Utilizing Deep Learning for Enhancing Performance on Encrypted Stock Market Data". Scholar.uwindsor.ca. University of Windsor. Retrieved 9 June 2023.
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^ Παπαεμμανουήλ, Παναγιώτης Ελευθερίου (2022).
"Financial machine learning, cryptocurrencies, and crowdsourced investing".
doi:
10.26262/heal.auth.ir.342656. Retrieved 9 June 2023.
{{ cite journal}}: Cite journal requires|journal=( help) - ^ Wigglesworth, Robin; Fortado, Lindsay (2017-05-21). "Tudor Jones backs AI hedge funds". Financial Times. Retrieved 2023-06-12.
- ^ Lee, Justina. "Paul Tudor Jones-Backed Quant Manager Returns 20% Using Crowdsourced Ideas". Bloomberg. Retrieved 4 June 2023.
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