Malaga/Luxembourg, Nov 15th 2024. We have released today a new course on Udemy related to Financial Report Textual Analysis. Drawing on a comprehensive dataset of 113,612 reports from 1,025 companies—sourced directly from the SEC EDGAR database, including 10-K, 10-Q, and 20-F filings—spanning two decades from 2004 to 2024, this course offers a comprehensive look at:
- Sentiment Polarity: Determining the overall positive or negative sentiment within reports.
- Sentiment Subjectivity: Gauging the objective versus subjective tone of a company’s language.
- Sentiment Dictionary Score: Leveraging sentiment scores from a curated financial lexicon.
- Complexity Score: Analyzing report readability to assess transparency and clarity.
- Red Flags Keyword Matching: Identifying potentially concerning language or red flags.
All analytical data points are available in VingeGPT, enabling you to explore and visualize correlations (or lack thereof) between textual elements and stock price performance. This course is designed for those who seek a deeper understanding of how language in financial documents can inform investment decisions.
As always when we publish new courses, to thank our existing student base, during the first 5 days the first 1.000 people get access to the course for free. Follow this link or use the coupon code TEXTUALANALYSIS on Udemy to access this brand new course : https://www.udemy.com/course/the-art-of-reading-financial-statements-textual-analysis/?couponCode=TEXTUALANALYSIS.
Get ready to enhance the way you read financial statements and upgrade your analytical toolkit!
with thanks
Candi and the VingeGPT team
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