The Unique Benefits of Fey's Personalized News Push
Compared with traditional financial information platforms, Fey's news push system adopts an intelligent screening mechanism, and the main differences are reflected in three dimensions:
- 1. Accurate matching based on positions
While traditional platforms typically push content based only on sectors of interest marked by the user, Fey analyzes the user's actual portfolio of positions, prioritizes news when it involves important events (e.g., earnings releases, major mergers and acquisitions, etc.) for the company in which the position is held, and marks the extent to which the event potentially impacts the value of the position. - 2. Multidimensional correlation analysis
Fey's AI system not only recognizes directly relevant news, it also pushes it:- Upstream and downstream industry chain dynamics
- Important actions by competitors
- Industry Policy Changes
- Analysis of the impact of macroeconomic indicators on specific sectors
- 3. Intelligent prioritization
A machine learning algorithm was used to assess news importance, with considerations including:- Historical impact of events (e.g., how much XX type of announcements typically lead to stock price volatility)
- Market reaction heat (social media discussion, institutional research report attention)
- Correlation with user's investment style (value investing/growth investing, etc.)
Fey users have been shown to save an average of 40-60 minutes per day on news screening, while dramatically improving their response time to key market events. Users can also continuously optimize the accuracy of their feeds through the "Preference Calibration" feature.
This answer comes from the articleFey: Financial market research tools, intelligent assistants to enhance investment decisionsThe
May not be reproduced without permission:AI productivity tools " How is Fey's personalized news push feature different from other financial information platforms?
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