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

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Machine Learning project to predict stock performance based on textual analysis. Uses Bayesian multinomial classifier.

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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.