… 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.
Tag: Big Data
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.”
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.
AI & ML news covering Hedge Funds, Career, Fraud Detection, Vineyards/Winemaking, Quanthouse, Apple, Quantitative Brokers, and more
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.
AI and ML for investing, ETFs, Cliff Asness, BofE, Manifold Partners, Japan’s bank, SoftBank, lack of skilled AI teammates, Uber, MarketX, fake news, …
AI and ML for CloudQuant, ArcaEx, Corporate earnings reports, Hedge Funds, Microsoft, Alexa, Saturday Night Live, the apocalypse, Elon Musk, and more …
ML for Banking, New York, Google/Deepmind, Cars.com, God & Dan Brown, Natural Language Processing (NLP), IoT, and more…
FINTECH perspective on AI & ML: Barclays, big banks, Data Science Questions, Linear Optimizations, Robo-Advisors, Augmented Intelligence, and more …