The UCONN team will start with
https://huggingface.co/datasets/JanosAudran/financial-reports-sec
The Westhill With Yahoo Finance
https://developer.yahoo.com/api/
The Wilton team with SEC
https://sec-api.io/docs/sec-filings-render-api/python-example
We will work on Data design initially and build tables based upon data pulls
fields and data types
Eventually lead to modeling and predictions.
Leverage the githubs that we have
Githubs
Daily Stock info -> Yahoo Finance Price
Daily Prices (don't have yet)
SEC DATA - Haris https://github.com/uconnstamford/Extracting-Data-From-SEC
SNS Snipe - https://github.com/uconnstamford/SnScrape
Scoring Sentiment - https://github.com/uconnstamford/Sentiment-gcp-v1
BERT -> https://github.com/uconnstamford/BERTvsGPTFinancialSentimentAnalysisAccuracy
Entity Analysis -> Dante - https://github.com/uconnstamford/sentiment-gcp-with-entities-v2
Data Store -> https://github.com/uconnstamford/datastore
Google credits
Limits on project spend
Give everyone access to project
Build out sentiment blog with example
Stock Data —> Table, Symbol, Daily Price
All will be done using the Google Cloud
https://uconn-sa.blogspot.com/
The links on the blog
Will outline some of the concepts to be used.
This is about learning first and foremost so any and all questions are welcome.
Also, I can schedule time with anyone who requests.
Solutions that will be built will be similar to Columbia News analytic program.
Please email directly if you are interested in joining this project.
It will be very informal, and task based. Will be a great way to work on a new development project for the financial markets.
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