I’m trying to understand how this works inside actual investment teams.
When some important news or event comes out, time is obviously very important. Bloomberg, Reuters and other terminals provide the news almost immediately, and the market can react within seconds or minutes.
But receiving the news is only one part of the work.
Someone still has to understand what it means, find which companies are affected and estimate how serious the impact could be.
For example, if there is a new tariff, regulation or geopolitical event, an analyst may have to check:
From what I understand, a lot of this is still done manually. Analysts read different sources, check filings and models, and connect the dots themselves.
This is where I’m confused.
If reacting quickly is so important, why hasn’t this part of the process become fully automated or at least an industry-standard workflow?
Is it because the information is too unclear? Is the company-level data not available? Are existing tools not reliable enough? Or is human judgment still too important?
For people who work in equity research, PMS, AIFs, mutual funds, hedge funds, family offices or similar teams:
How often do you deal with unexpected news like this?
How much time does it normally take to understand the impact?
Which part of the process is still the most manual or frustrating?
Would a tool be useful if it could connect an event to the companies you cover, explain the possible impact, provide the sources and show what still needs to be checked?
I’m not talking about an automated trading bot that tries to beat the market in milliseconds.
I’m trying to understand whether analysts need a better way to go from:
News → relevant companies → possible impact → thesis update → recommendation
Would really appreciate hearing how this works in real investment teams.