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 [email protected] or view our subscription options here:

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

You need to sign in to use this feature. If you don’t have a 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: