Category: Blog

Blog

Data science discussions and general updates from Conlan Scientific.

Finding Alpha with Financial Machine Learning and Alternative Data

Alternative data can be defined as any non-obvious leading indicator of financial performance. Nowadays, people talk about satellite imagery and social media analysis when they talk about alternative data. Before the dawn of the internet, it existed in different forms. For example, if you wanted to know how many customers ... Read more ...

Achieving Fairer Lending through Data Science

I believe one of the biggest achievements in FinTech, since the term was coined, has been exposing bank account balance data, transaction data, and payment portals via APIs. I won’t name any specific APIs, but there are now an ample supply of well-supported products that allow users to easily share ... Read more ...

Old-School Alternative Data

In 1958, Philip Fisher published the widely acclaimed book *Common Stocks and Uncommon Profits*. In this book, he advocated use of the "scuttlebutt" technique as a way to find and keep strong growth companies in your portfolio. In case you aren't the seafaring type... "scuttlebutt" is a sailing term for ... Read more ...

What's Left for Quants on Wall Street?

The article will point to various examples of automated trading strategies and raise questions about where any investor, institutional or otherwise, ought to invest resources in pursuits of alpha. ### What can you do for free? A few years ago, I wrote a book called Automated Trading with R with ... Read more ...

Update on The Gartner Hype Cycle for Machine Learning

In 2017, the term "machine learning" had entered modern parlance enough for it to be included in the 2017 Gartner Hype Cycle for Emerging Technologies. Gartner doesn't include duplicate entries, year-over-year, so this is somewhat of a big deal. In July 2017, Gartner said that machine learning was at the ... Read more ...

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We believe good data scientists are great software developers. Our team of professionals is ready to solve your financial data challenges.