Skip to main content
nlp

From Memos to Texts, Algos Fish for Signals In-house

Hedge funds turn to natural-language tools to pry more value out of their analysts’ internal writings.

Fundamental hedge funds are starting to use algorithms to more clearly see sentiment – their own – by hunting for signals in the e-mail, instant messages and memos of their own analysts.

The algorithms used were first built to glean sentiment from the crush of public media sources, like news reports and outside research. But non-quant firms, which do their own private research heretofore unaided by artificial intelligence, are using it to look for more unguarded  opinions from company managers

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe

You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Waterstechnology? View our subscription options

The market’s most valuable asset?

DTCC’s Tim Lind writes that using data effectively can provide the intelligence needed to improve investment performance, reduce risk, and inform strategic decision‑making.

Navigating the MarketAxess ICE storm

The Waters Wrap: Most of the discussion surrounding ICE’s MarketAxess buy has focused more on benefits for the front office than the data possibilities.

Most read articles loading...

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here