Artificial Intelligence News & Topics

Artificial Intelligence (AI) takes many forms for the trading industry including electronic trading, quantitative trading strategies, algorithmic trading development and research, risk, compliance, and management. AI refers to simulated intelligence using computer programs. These programs are designed to “think” for the purposes of achieving some tasks. For CloudQuant this task is typically determining a trading signal to initiate an investment or to close out an investment.

Forms of AI include rules-based programming, Machine Learning, and Deep Learning.

Posts

Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence for December 26, 2017

Never Mind Bitcoin. China Loves AI Stocks ...ofit estimates. And yet it’s one of the hottest stocks in China, gaining 117 percent this year as of Dec. 18, thanks to the latest investment craze sweeping the country’s $7.5 trillion equity…
www.futuresradioshow.com

Futures Radio Show interviews Morgan Slade December 12, 2017

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CloudQuant's CEO was interviewed by Anthony Crudele of Futures Radios show to discuss topic including Artificial Intelligence, Machine Learning, and Deep Learning applied to algorithmic trading. Alternative datasets are a major topic of discussion. People are saying that data is being created faster than ever before. That really isn't true. What is really happening is that data is being captured and stored at a faster rate than ever before. Vendors are now making AltData available for traders to change the way that they interact with the markets. This applies to futures and stocks with the popularity of Deep Learning in algorithmic trading strategy development.
Machine Learning, Quantitative Investing News

Industry News: Machine Learning and Artificial Intelligence for December 18, 2017

CloudQuant Thoughts: We really like the following quote in this article: “A huge part of financial services built technology in-house or used a small number of vendors and that old model is dying,” Whitcroft added. ‘Financial services is being componentisized.” This gets to the heart of new business models that include innovation and crowdsourcing. We have found that innovators, with atypical backgrounds and education, when given access to institutional grade tools and datasets can create something unique. There is significant value that can be derived. Our business model is proving this out daily.
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence for December 11, 2017

AI & ML news covering Hedge Funds, Career, Fraud Detection, Vineyards/Winemaking, Quanthouse, Apple, Quantitative Brokers, and more
Researcher reading iPad

Industry News: Machine Learning and Artificial Intelligence for December 4, 2017

Grace: Going back to what you are doing now with CloudQuant, I understand that you have a trading strategy incubator where your team has the experience, the technology, the capital and allows algo traders to essentially get a strategy funded. Can you tell us more about that and the vision behind it?
Morgan Slade, Python Data Scientist and Trader

QuantNews Interview with CEO Morgan Slade

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With over 20 years of experience as a trader, portfolio manager, executive, and entrepreneur, Morgan Slade is now the CEO of CloudQuant, a cloud based quantitative strategy incubator and systematic investment fund. He has built quantitative trading businesses at some of the world’s largest hedge funds and Investment Banks ...
Newsweek AI Data Science for Capital Markets

Newsweek Event: Artificial Intelligence and Data Science (December 5th to 7th, 2017)

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CloudQuant will be participating in the Newsweek conference on Artificial Intelligence and Data Science for the Capital Markets Industry on December 5th to December 7th, 2017 in New York.
data scientist researching trading strategies

Algos and Ethics - a response to a LinkedIn Post

Alessio Farhadi posted “A.I. Trading - A Question of Ethics” on LinkedIn. His main point is that machine learning and algos do not have ethics. ... Fairness to the industry requires that one should review the steps that have been taken by innovators, regulators, broker-dealers, and exchanges to mitigate any potential dangers of using computers and algorithms to trade.
Quantitative Strategies and Capital for Trading

Industry News: Machine Learning and Artificial Intelligence for November 27, 2017

AI & ML news covering: UBS, UK Workforce, Smart AI Chips, BlackRock, FINTECH Workflow management, CITIC, Aquila Capital, Investment Bankers, ...
Business charts

Industry News: Machine Learning and Artificial Intelligence News November 20, 2017

AI & ML news covering: Overvalued Markets, crypto-currencies, Quantamental funds, Social Sentiment Deceptions, Hiring of Buy-Side Quantitative Trading, ...