I like to write, and LLMs make it even better.
This page reflects some of my notes while learning & working with different data types.
DATA DUMP
Form 4 (Insider Transactions, SEC Filing)
Finding relevant features within Form 4s based on insider info, transaction details, post-transaction position, historical context, regulatory flags
DEF 14A (Proxy Statement, SEC Filing)
Finding relevant features within DEF 14As based on metadata, proposals, board composition, compensation, shareholder rights, governance
10-K (Annual Report, SEC Filing)
Finding relevant features within 10-Ks based on filing structure, risk disclosures, MD&A analytics, financial statement metrics, footnotes, ESG, semantic NLP, visuals.
10-Q (Quarterly Report, SEC Filing)
Finding relevant features within 10-Qs based on metadata, financial statement metrics, qualitative sections and risk disclosures, footnote, ESG, semantic NLP
8-K (Current Report, SEC Filing)
Finding relevant features within 8-Ks based on filing metadata, item code information, text metrics, sentiment features, financial disclosures, topic modeling, named entity recognition, timing and temporal metadata