Crowdsourcing News & Topics in Algorithmic Trading, Quantitative Finance, …

Crowdsourcing is the internet model where anyone with a computer can be involved in an activity. At CloudQuant this is an opportunity for students, recent graduates, and career-changers to be involved in quantitative research and algorithmic trading. Anyone on the internet can use the free tools provided to create and prove that a trading algorithm works.

This is our CrowdSourced Trading Strategy Incubator. As a member of the crowd, we partner with you to bring your idea to market. This partnership is properly licensed so that you retain your rights to your strategy. When we both agree to the terms of the profit sharing deal, then we fund and run the algo you have already proven. Having a larger amount of capital results in a stronger possibility of succeeding in the markets. Your algo is able to run “At Scale” instead of inside the constraints of your own capital.

Posts

News for Machine Learning and Algo Trading

Deep Dive With JLN: How Can The Financial Industry Draw In The Next Generation Of Talent?

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The former trading floors provided a sense of community. Electronic trading communities like CloudQuant provide a bright future for new traders.
Morgan Slade and Tayloe Draughon with Jill Malandrino of NASDAQ

Discussing Crowd Sourcing Algos with Jill Malandrino of NASDAQ

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NASDAQ's Jill Malandrino discusses crowd research in an Algo World with Morgan Slade and Tayloe Draughon at the FIA Expo 2017
Crowdsourcing Algorithmic Research

CloudQuant at FIA Expo in Chicago: perfect storm for open source revolution in quant trading

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The impact of machine learning and open source resources on quant trading could be described as explosive. At FIA Expo in Chicago, CloudQuant’s CEO Morgan Slade will be discussing how that’s translating into opportunity for a wider variety of participants.
chicago cityscape and sears tower

Built in Chicago: Wanna try your hand at high-frequency trading? There's an app for that

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Built in Chicago discusses CloudQuant, a Chicago-based algorithmic trading startup, lets anyone try their hand at devising their own strategies.
John "Morgan" Slade

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

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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.
Quantitative Strategy, Trading, and Algo Development Industry News

Quantitative Trading and Data Science in the News August 28, 2017

Quantitative Trading and Data Science in the News August 28 2017: CloudQuant opens door to crowd algo traders, RBC AI pilot, RBC pilots AI-based financial insight tools, AI focussed Chip, Momentum trading guide...
Morgan Slade, Python Data Scientist and Trader

Quant Trading and Superpowers: Morgan Slade speaks on Opportunity

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"You have a chance to try and change an industry" said Slade, CEO of CloudQuant at the MarketsWiki Education’s World of Opportunity event in New York.
Algo developer getting paid

Why the top jobs in finance will go to gig workers

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“We’re tapping into the new skills coming out of educational institutions and students’ and graduates’ new ways of looking at things, but there are also opportunities for experienced people to connect the dots related to the ontological relationships between the data and the stock markets and other assets,” Slade said. “There are huge untapped resources out there, and we try to engage with the researchers as if they were employees and support them as such.”
Your algo is always yours, not ours.

Your Algos are Your Private Property on CloudQuant

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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.
World Market Access

2017 - The Year of Artificial Intelligence

World Economic Forum published that Artificial Intelligence (AI) is a rapidly growing discussion point in corporations and governments. This is driven by: 1. Everything is now becoming a connected device. 2. Computing is becoming free. 3. Data is becoming the new oil. 4. Machine learning is becoming the new combustion engine.