$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.
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.
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…
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.
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. We recognize that we are technology and data junkies so we wrote our own crawler […]
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.
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!
… 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.
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 market: artificial intelligence. Iflytek and other AI-related companies are dominating gains among large-cap Chinese stocks. The […]
“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.”