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FactSet

@FactSet · Worldwide · joined 18 Nov 2008

40+ years helping financial professionals stay ahead of market trends. We do not reply to DMs/comments. For support, visit https://t.co/nXEDyR00YV.

121 731Followers
291Following
25 871Posts total
9.3KViews on collected posts

Ultimi post

Great reporting starts with data that already knows how to work together. @FactSet automates the ingestion and validation of portfolio, market, and benchmark data, so numbers arrive production-ready instead of needing to be pieced together by hand. That means more time for the h
Workflow diagram titled "Reporting Workflow." It shows the flow from "PRB Job" to "Sign off Job Outputs," with a status of "Completed" for the PRB Job. The "Sign off Job Outputs" step has options for "Approved" leading to "End," and "Rejected" also leading to "End." Both options are labeled with "Awaiting Input." A sidebar on the right lists tasks with their respective statuses.
1K views · 1 likes · 0 reposts · 0 replies Open on X →
A softening insurance market could have implications beyond premium growth. For institutional investors, changing pricing, underwriting conditions and carrier behavior may offer important signals for assessing insurers’ earnings potential and investment outlook. Read the full ht
The image is a graphic titled "Beyond the First Sign of a Softening Insurance Market" by Stewart Johnson, featured in FactSet Insight under the section "Companies + Markets." The FactSet logo is in the bottom right corner.
1.1K views · 1 likes · 1 reposts · 0 replies Open on X →
#StreetAccount Evening Market Recap - Tuesday, 8-Sept https://t.co/qBfwfaDxtz 1.7K views · 0 likes · 0 reposts · 0 replies Open on X →
Your analysts have been silently fixing your data for years. Your agents won't. Which is why data quality isn't a prerequisite you solve later. It's the ceiling on everything you deploy. John Costigan, and guest host @GuyAdami, on what agentic deployment demands of your data.
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2.7K views · 2 likes · 0 reposts · 0 replies Open on X →
#StreetAccount Financial Market Preview - Tuesday 8-Sep https://t.co/qBfwfaDxtz 2.8K views · 0 likes · 0 reposts · 0 replies Open on X →

Rispetto ad account della stessa dimensione

5 post degli ultimi 90 giorni, accanto alla fascia di 100K–1M follower. copertura nella norma per la sua dimensione, reazione più debole della media.

Visualizzazioni mediane1 688questo account4 317mediana per 100K–1M
Copertura, %1.39%questo account1.68%mediana per 100K–1M
Interazione, %0.07%questo account1.35%mediana per 100K–1M
MetricaQuesto accountMediana per 100K–1MRapporto
Visualizzazioni mediane per post1 6884 3170.39×
Copertura (visualizzazioni ÷ follower)1.39%1.68%0.83×
Tasso di interazione0.07%1.35%0.06×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

2.8K8 Sep
2.7K
1.7K
1.1K
1K

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.00%8 Sep
0.07%
0.00%
0.18%
0.10%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.35%.

What the audience does

Likes57.1%4 in total
Reposts14.3%1 in total
Bookmarks28.6%2 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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