bepcyc / robobuffett Goto Github PK

Project goal: Predict future stock performance based on textual analysis of SEC filings. 

Modules:

Scraper (Izaak):
Pull SEC documents from EDGAR. 

Stock (Ahmad):
Get stock prices and maintain CIK<->Ticker mapping.

Manager (Dan): 
Manage & organize data. Manages parsing, serialization, classification, and testing. 

Parser (Dan):
Parse SEC filings, getting header info and document text. 

Classifier (Ahmad):
Generate training classifications for documents, calls on Stock. Called by manager.

To be added: Multinomial model generator, LLV (log likelihood value) classifier. To be maintained by Dan.