Our chosen topic is Sentiment Analysis regarding its effect on publicly traded stock. We will be monitoring daily summed mentions on identified stocks, from Twitter, and Headline totals gathered from NewsAPI to see if any correlation can be acknowledged between this and their stock price.
Using Airflow and Python, we will use the Yahoo Finance API to keep up to date on price changes (opening and closing daily).
Data obtained from each source will be stored into a MYSQL database.
We will connect Jupyter to SQL to load the data. We will then use bokeh to plot said data and a correlation matrix to evaluate our process.
- Twitter API
- News API
- Yfinance API
- Airflow
- Spark
- Pandas
- NLTK
- Bokeh
A curious and driven personality interested in exploring the intersection of Big Data and Finance. I have an educational background in Economics & Finance with professional experience in financial services.
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Masters in Physics and a Former undergrad Physics teacher. I have a passion for collecting and analyzing data to find meaningful trends. I'm a team player with strong analytical skills.
My background is in management and sales. I've long been an advocate of solving problems using empirical solutions, employing spreadsheets, CRMs, and costing formulas to improve my working environment.