Big data meets the stock market with Bloodhound



Named after the British anti-aircraft ballistic missile defense system which Peter Gregory engineered mid century, the modern Bloodhound System is an institutional grade stock investment SaaS launched into the investor market.

Founded by Gregory and Terrence Sullivan, Bloodhound’s proprietary platform is targeted at professional investors who construct and manage equity portfolios, whether those be individual, retail or institutional.

“Not to be confused with high frequency trading, Bloodhound is about interday trading vs. intraday trading,” Sullivan says. “Bloodhound is distinguished by the long view.”

By acquiring and merging data sets from Compustat, Reuters and Thomson, Bloodhound is based on over 250 million data points, some dating as far back the 1970’s — income sheets, balance sheets, financial ratios, pricing, etc.  Collectively the tools provide research analysis, strategic theory, testing, implementation and ongoing monitoring.


“There’s 1,400 paramaters pre-loaded in the system, in addition to the ability of the user to create their own custom formulas. The biggest challenge facing professional investors is that of generating differentiated investment ideas. Not only is it difficult to generate ideas, with the tools that are presently available, it’s impossible to validate those ideas prior to implementation.  That’s why Bloodhound is so unique,” says Bill Moore, Bloodhound’s Corporate Development Director.


Nestled within the Carlson Towers, Bloodhound Investment Research has raised a $4m early round of highly strategic capital from investors inside firms like A.G. Edwards, Merrill Lynch and Scudder Investments. Moore says that there are now over 100 paying customers since formally introducing Bloodhound last month.


“Generating ideas for equity portfolios is much more art than science…although we’re not changing it to science, we’re providing some science for the artists. Our ultimate goal is to be the de facto tool for idea generation, validation, and implementation no matter the asset class.”