stockAnalysis

Analyzing stock performance using Stock Twits

Running the program

Flags:
--daysback: # days to scrape back from the current day
--numstocks: top n stocks to invest from (lower means more risk)

# scrape the current day's tweets for all stocks
python3 stocktwits.py --stocks --daysback 0

# scrape tweets from all users 
python3 stocktwits.py --users --daysback 75 
python3 stocktwits.py --u --daysback 20

# calculate returns for each day back from current day
python3 stocktwits.py --returns --daysback 30 --numstocks 5

# predict which stocks to buy 
# run at end of the day
python3 stocktwits.py --numstocks 1

Name		Name	Last commit message	Last commit date
Latest commit History 409 Commits
cachedCloseOpen		cachedCloseOpen
models		models
modules		modules
.gitignore		.gitignore
README.md		README.md
__init__.py		__init__.py
chromedriver		chromedriver
chromedriver.exe		chromedriver.exe
consolidate_db.py		consolidate_db.py
outfile		outfile
prediction.ipynb		prediction.ipynb
prof.dat		prof.dat
requirements.txt		requirements.txt
stats.dat		stats.dat
stocktwits.py		stocktwits.py
svm.py		svm.py
temp.dat		temp.dat
test.ipynb		test.ipynb