Here's how HSBC.GITHUB.IO makes money* and how much!

*Please read our disclaimer before using our estimates.
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HSBC . GITHUB . IO {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Hsbc.github.io Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. External Links
  10. Libraries

We are analyzing https://hsbc.github.io/pyratings/.

Title:
pyratings
Description:
pyratings - Working with credit ratings, professionally and efficiently
Website Age:
12 years and 3 months (reg. 2013-03-08).

Matching Content Categories {📚}

  • Personal Finance
  • Shopping
  • Business & Finance

Content Management System {📝}

What CMS is hsbc.github.io built with?

Website use mkdocs-1.6.1, mkdocs-material-9.6.14.

Traffic Estimate {📈}

What is the average monthly size of hsbc.github.io audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 19 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Hsbc.github.io Make Money? {💸}

The income method remains a mystery to us.

The purpose of some websites isn't monetary gain; they're meant to inform, educate, or foster collaboration. Everyone has unique reasons for building websites. This could be an example. Hsbc.github.io might be making money, but it's not detectable how they're doing it.

Keywords {🔍}

ratings, pyratings, rating, nan, credit, shortterm, compute, import, longterm, license, scores, bbb, ccc, contributing, code, cleaning, work, portfolio, pandas, install, securities, average, warf, rtg, npnan, developing, cwpositive, bbu, table, contents, offer, started, consolidating, translating, support, working, documentation, worst, vice, versa, level, fitch, ratingsdf, dtype, translate, project, overview, github, acknowledgements, source,

Topics {✒️}

implement short-term ratings incorporate short-term ratings long-term / short-term translate human-readable ratings short-term ratings cleaning ratings object support credit ratings space bbb + long-term pdm add pyratings poetry add pyratings average credit rating fixed income instruments basic code snippets pip install pyratings contributing guideliens numerical rating scores rating scores back security level basis ratings=ratings_series credit ratings bb+ bb+ 'bb-' open source contribution individual credit security ratings attached /worst ratings worst ratings license file compute warf buffer ccc+ ['aaa' rating_moody ['aa1' 'aa3' 'aa2' 'ba3' rating_fitch acknowledgements nan install pyratings transform long pyratings offers aa- + aa 'aa-' 'aa+' ['aa-'

Questions {❓}

  • Do you need to compute the average credit rating of an investment portfolio?
  • Do you work in the investment industry?
  • How to install pyratings?
  • What has pyratings to offer and how might it help you?
  • What is it all about?

Libraries {📚}

  • Clipboard.js

1.52s.