GitHub - yetanothertimes/RoboBuffett: Machine Learning project to predict stock performance based on textual analysis. Uses Bayesian multinomial classifier.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 53 Commits
Data/Pickles		Data/Pickles
Old		Old
Utilities		Utilities
.gitignore		.gitignore
README		README
cik_reader.py		cik_reader.py
classifier.py		classifier.py
clean_scrape.py		clean_scrape.py
data_reporter.py		data_reporter.py
manager.py		manager.py
parser.py		parser.py
rb_parser.py		rb_parser.py
scraper.py		scraper.py
stock.py		stock.py
stock_price.py		stock_price.py
stocks_downloader.py		stocks_downloader.py
testclean.py		testclean.py
yahoo_parser.py		yahoo_parser.py

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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.