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



Alternative Data News. 27, September 2018

News covering: Social Market Analytics Sentiment Data for Forex; The Mosaic Effect with Big Data and AltData; Success as a Data Scientist; Data Ops Workbench; Turkish Volatility Showed Value of Alt Data
Algo Trading powered by Alternative Data Sets

Conversations: Effects of Alternative Data Sets on Trading Algorithms

What effect can alternative data sets have on trading algorithms? We asked a few of our teammates and systematic traders what the effect of alternative data sets is on trading algos. We thought we could spread some insight as to why our alternative…
Facebook drop 19%, July 2018

$FB Decline 19%- What did the Social and technical analysis show? - July 26 2018

$FB's 19% drop was preceded by TA-LIB and Social Market Analytics indicators to sell. The $120 Billion drop in market cap could have been an opportunity to short sell before the market close the previous night.

Alternative Data News: 17, July 2018

Cloudquant thoughts on Alternative data starting with how internet chatter about Anne Hathaway affects Berkshire-Hathaway $BRK.A. Also: Impact Investing Deals, Google Marketing Data, Merger-Acquisitions comparison to dating, Analyzing banking data on the cloud, and a few other clippings.

Alternative Data. 21, June 2018

Alt Data Moves Beyond Front Office, Nasdaq promotes Bill Dague to head of alt data, $DB sees issues with AI and GDPR, $BT's FINTECH data sharing, US SEC N-PORT and N-CEN resulting in [Data First] architectures...
John "Morgan" Slade

RavenPack - The State of Machine Intelligence in Capital Markets

The financial sector is making a massive shift towards machine intelligence in capital markets. This panel shares their experience in using data science and domain expertise in understanding data context.

Alternative Data. 18, May 2018

Finding sources and uses for alternative data can be difficult. At CloudQuant we regularly read and search the internet for new sources of data that can be used in our mission to find alpha signals and build quantitative trading strategies.…
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.