An analysis project about stock market of corporations throughout the years. The data is according to New York Stock Exchange (NYSE) American and National Association of Securities Dealers Automated Quotations (Nasdaq) and imported from Yahoo Finance using Pandas Data Reader.
Tools: Datetime, Matplotlib, Numpy, Pandas, Scipy, Seaborn
Categories: Bootstrap Method, Data Analysis, Data Visualization, Forecasting, Monte-Carlo Simulation, Risk Calculation, Statistics, Time-Series
Abbreviation:
- AAPL: Apple
- GOOG: Google
- MSFT: Microsoft
- AMZN: Amazon
- INTC: Intel
| Variable | Definition |
|---|---|
| High | A security's intraday highest trading price (The highest price at which a stock traded during the course of the trading day) |
| Low | A security's intraday low trading price (The lowest price at which a stock trades over the course of a trading day) |
| Open | The opening price at which a security first trades upon the opening of an exchange on a trading day |
| Close | The closing price at which a security last trades upon the closing of an exchange of a trading day |
| Volume | The amount of an asset or security that changes hands over the course of a day |
| Adj Close | Adjusted Closing Price which reflects that stock's value after accounting for any corporate actions |
All currencies are in US Dollars (USD).