GitHub - limdom/w207_stock

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
base_line_materials		base_line_materials
models		models
reddit_script		reddit_script
references		references
AAPL_fundamentals.csv		AAPL_fundamentals.csv
BTC-USD.csv		BTC-USD.csv
EDAreddit_2018_2021-use.ipynb		EDAreddit_2018_2021-use.ipynb
FRED_macro_daily.ipynb		FRED_macro_daily.ipynb
README.txt		README.txt
TSLA_fundamentals.csv		TSLA_fundamentals.csv
combined_dataset_daily_TSLA_AAPL.csv		combined_dataset_daily_TSLA_AAPL.csv
combined_dataset_daily_sentiment.ipynb		combined_dataset_daily_sentiment.ipynb
combined_dataset_daily_sentiment_TSLA_AAPL.csv		combined_dataset_daily_sentiment_TSLA_AAPL.csv
davis_lim_mahajan_rondon_Presentation.pptx		davis_lim_mahajan_rondon_Presentation.pptx
macro_data_daily.csv		macro_data_daily.csv
model_daily_no_sentiment.ipynb		model_daily_no_sentiment.ipynb
model_daily_no_sentiment_noclose.ipynb		model_daily_no_sentiment_noclose.ipynb
model_daily_sentiment_noclose.ipynb		model_daily_sentiment_noclose.ipynb
sentiment.csv		sentiment.csv

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Title: Stock prediction using Machine Learning tools and by harnessing the power of social media.
Group members: Tori Davis , Dominic Lim, Ria Mahajan, & Javiar Rondon
Summer 2022, W207 Amit Section 06

Purpose: 
By using publicly available market and reddit data as input, can sentiment analysis help to predict stock price movements?

project documentation:
davis_lim_mahajan_rondon_Presentation.pptx

Main notebook:
model_daily_sentiment_noclose.ipynb

Reddit EDA notebook:
EDAreddit_2018_2021-use.ipynb

Additional notebooks for data processing are located in the models and reddit _script folder.

Reference materials are stored in references folder