Alternative Data (AltData)

Alternative data, sometimes called AltData, provides algorithmic trading developers potential to improve quantitative and systematic trading strategies by providing a new source of trading signals.

CloudQuant has multiple sources of alternative data that includes News Sentiment and social sentiment from StockTwits and Alexandria Technologies.

Users are also encouraged to upload their own alternative data into their private data directories for additional research.

If you have other AltData that you would like to have in CloudQuant please let us by contacting customer_success@cloudquant.com

Posts

Candlestick market data chart

Successful Starts in Algorithmic Trading

Many people have attempted to become the next great trader. They try assets like cryptocurrencies, or futures, or options and soon find out that it isn't as easy as they originally thought. They run into many of the same problems. ... Success comes with diligent work, support, and access to mentors, technology, and data.
Quantitative Strategy, Trading, and Algo Development Industry News

Artificial Intelligence and Machine Learning in the News, January 29, 2018

CloudQuant 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!
Principles by Ray Dalio: Systemize Decision-Making

Industry News: Machine Learning and Artificial Intelligence for January 2, 2018

... 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.
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…
85 Percent of Data is Unstructured

Is Crowdsourced Data Reliable?

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"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."
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.
Quantamental alternative data

The Rise of Quants in Trading and Financial Markets

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Cloud 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.
John "Morgan" Slade

Open Source Meets Quant Trading - Futures Industry Association

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Recording of October 17-19, 2017 Future Industry Associations EXPO panel discussion on Open Source Meets Quant Trading.
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.
CloudQuant the Trading Strategy Incubator

CloudQuant Launches with Unprecedented $15 Million Allocation to Crowd Researcher

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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.