Posts

Artificial Intelligence and Machine Learning in the News, January 29, 2018
Industry NewsCloudQuant Thoughts: The points that Mr. Kaufman makes on the instant availability of "noise" is very interesting. We don't consider this to be noise at CloudQuant. We consider it to be an opportunity for data scientists and crowd researchers. These result in new data sets to research and to seek trading signals. What one person considers to be noise another person may find to be an interesting signal source!

Industry News: Machine Learning and Artificial Intelligence for January 2, 2018
Industry News... the demand for Quants and Technologists has been "relentless" in FINTECH. We agree. The best source of candidates for these skills are going to be colleges like the University of Chicago where we get many of our interns. However, that doesn't mean that you can't participate. The best people are not the current students. The best people are the subject matter experts that grow their own skills. Pick up your skills. Attend online classes on Python, Math, and AI. Learn how to apply statistics. Many people are using our own platform to grow their quant skills this year.

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

Is Crowdsourced Data Reliable?
CloudQuant Press, Industry News"Bring us your ideas and we will share the money with you,” agreed Morgan Slade, CEO of the crowdsourced algorithmic trading startup CloudQuant. “For us, engagement means breaking it down into a contractible problem."

Futures Radio Show interviews Morgan Slade December 12, 2017
CloudQuant Press, Industry NewsCloudQuant'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.

The Rise of Quants in Trading and Financial Markets
CloudQuant Press, Industry NewsCloud computing and access to industrial grade investment and data science tools are changing the playing field for quantitative trading firms. CloudQuant's CEO Morgan Slade participated in a panel at Stocktoberfest West in October 2017. This has raised the discussion of quantamental investment and data science techniques. This is the merger of technology, investment management, and data science.

Open Source Meets Quant Trading - Futures Industry Association
CloudQuant Press, Industry NewsRecording of October 17-19, 2017 Future Industry Associations EXPO panel discussion on Open Source Meets Quant Trading.

Quant Trading and Superpowers: Morgan Slade speaks on Opportunity
CloudQuant Press, Industry News"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.

CloudQuant Launches with Unprecedented $15 Million Allocation to Crowd Researcher
CloudQuant Press, Industry NewsCloudQuant, 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.

Quantitative Trading and Data Science in the News August 14 2017
Industry NewsTopics include: GeoLocation Alternative Data, robotic revolution, buy side, sell side, hot jobs, financial crime, ...