Allocations of Capital to Trading Algorithms

Capital allocation describes how CloudQuant, or another fund, divides their financial resources and other sources of capital to different trading strategies. Fund managers optimize capital allocation so that it generates as much return on capital as possible.

The heart of the CloudQuant business plan is our client algorithm license agreement. The algorithms created by our clients are their proprietary information. We clearly state this in our user agreement.

Once a researcher requests that we fund their strategy, we will review the simulation performance report. If the algo is selected for licensing, we provide the client with a proposal to enter into a mutually beneficial profit-sharing licensing agreement. When both parties agree to these terms we will fund (allocate) the strategy with our own capital.

To learn more about the process of developing and algo, licensing, allocations, and getting paid for your algo see “The Trading Strategy Incubator.

See also: CloudQuant’s record of allocations.

Posts

Alogo Allocation

Record First Year Growth and a New Allocation to a Trading Strategy

,
Chicago, Illinois, USA, August 29, 2018 - CloudQuant LLC is pleased to announce a new crowdsourced trading strategy license agreement. This marks the eighth successful partnership with a global algo developer, since their public launch one year ago. Researchers receive 10% of net trading profits under the terms of the license agreement.
$20M Allocation to Crowd Developed Trading Algorithm

CloudQuant Allocates Millions to Crowd-Resourced Trading Algorithm

,
CloudQuant, one of 50’s Most Promising FinTech Solution Providers of the year, has allocated $20 million to a crowd resourced trading strategy. The strategy’s creator, an Australian based crowd researcher, leveraged CloudQuant’s market simulation and python based back-testing tools, to prove the algorithm’s performance and profitably within approved risk parameters.
Machine Learning, Quantitative Investing News

Industry News: Machine Learning and Artificial Intelligence News 10/30/2017

AI and ML for CloudQuant, ArcaEx, Corporate earnings reports, Hedge Funds, Microsoft, Alexa, Saturday Night Live, the apocalypse, Elon Musk, and more ...
Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence News

ML for Banking, New York, Google/Deepmind, Cars.com, God & Dan Brown, Natural Language Processing (NLP), IoT, and more...
Crowdsourcing Algorithmic Research

​CloudQuant Is a Trade Strategy Incubator That's Looking to Develop and Fund Algorithm Traders

, ,
A rising population of programmers, data scientists and mathematicians are now looking to write complex codes for automated investment strategies of their own. This is crowdsourced algorithmic trading.
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence News for the week ending October 2, 2017

Machine Learning and Artificial Intelligence News for the week ending Oct 2, 2017 that we found interesting from our FINTECH and CrowdSourcing perspective
Crowdsourcing Algorithmic Research

CloudQuant Continues To Allocate Millions to Crowd Researchers

,
CloudQuant allocates $10 million to another crowd researcher by funding and leasing a crowd sourced trading algorithm. The licensor will receive a direct share of the monthly net trading profits.
John "Morgan" Slade

FintekNews: 3 Questions with John “Morgan” Slade of CloudQuant

,
FintekNews recently asked 3 Questions of our CEO Morgan Slade. This is in response to our recently announced launch with a $15M allocation to a crowd based trading strategy algo creator.
CloudQuant the Trading Strategy Incubator

CloudQuant Launches with Unprecedented $15 Million Allocation to Crowd Researcher

,
CloudQuant, the trading strategy incubator, has launched its crowd research platform by licensing and allocating $15 Million (USD) to a trading algorithm. The algorithm licensor will receive a direct share of the strategy’s monthly net trading profits.
Your algo is always yours, not ours.

Your Algos are Your Private Property on CloudQuant

,
Your Proprietary Trading Algorithm is always your property on CloudQuant. Any trading strategy that you develop is yours. Not ours. You do not transfer ownership of the algo to CloudQuant. You do not transfer any copyrights to CloudQuant. This is fundamental to the operations and success of CloudQuant.