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Interesting projects that use Natural Language Processing (NLP) to sparse info from financial statements

Bedrock AI

  • Interesting dicussion of their product in Hacker News
  • They use machine learning (NLP) to extract hard-to-find information and assess risk in public company reports (SEC filings). Their platform is used by investors to improve portfolio returns and mitigate downside risks.
  • Context: Most public company data is unstructured and textual. Because relevant information is hard to find, a lot of corporate data is radically underused, to the detriment of investors. For example, their research shows it can take 12-18 months for corporate malfeasance to be incorporated into stock price after clear warning signs appear in financial text. Hard-to-find information that they extract includes accounting and governance choices, product defects, regulatory issues, customer/market reliance and much more.
  • Their competitors: AlphaSense, Sentieo, InsiderScore, footnoted

Elect.us

  • side project on Hacker News
  • summarize SEC filings and display the clusters that have a high correlation with non standard price deviation in the next 20 days

Last10k

  • Parse SEC filings for readable information
  • This is a side project, appeared in Hacker News

Quantale

  • a web-based Bloomberg Terminal alternative and they monitor SEC filings in real-time to show them to users
  • they provide not only Financial and newsmedia data but also real-time data from SEC, Reddit, and Twitter.
  • some of their current features Along with that, additional features include: 
    - Top trending stocks from the internet in real-time
- Sentiment of the discussions using a pytorch model.
- Ability to save posts(reddit, twitter, news headline, sec filings)
- Ability to create watchlist to watch and monitor a group of tickers like SPACs.
  • Similar tools: Gbear.trade, HypeEquity, Gamestonk Terminal

Note: How can we adapt these business model to Vietnam financial market? Since even HOSE didn't implement a standard for filings like EDGAR system of SEC. AFAIK, HOSE use pdf format for filings