| # Finance Datasets | |
| Historical stock and cryptocurrency price data. | |
| ## Contents | |
| ### Stocks (5 years of daily OHLCV data) | |
| - AAPL - Apple Inc. | |
| - GOOGL - Alphabet Inc. | |
| - MSFT - Microsoft Corp. | |
| - AMZN - Amazon.com Inc. | |
| - TSLA - Tesla Inc. | |
| - META - Meta Platforms | |
| - NVDA - NVIDIA Corp. | |
| - AMD - Advanced Micro Devices | |
| - INTC - Intel Corp. | |
| - NFLX - Netflix Inc. | |
| ### Cryptocurrencies (full history) | |
| - BTC_USD - Bitcoin | |
| - ETH_USD - Ethereum | |
| - SOL_USD - Solana | |
| - ADA_USD - Cardano | |
| - DOT_USD - Polkadot | |
| ## Columns | |
| - Date - Trading date | |
| - Open - Opening price | |
| - High - High price | |
| - Low - Low price | |
| - Close - Closing price | |
| - Volume - Trading volume | |
| - Dividends - Dividend payments | |
| - Stock Splits - Split ratio | |
| ## Usage | |
| ```python | |
| import pandas as pd | |
| # Load stock data | |
| aapl = pd.read_csv('stocks/AAPL.csv') | |
| # Load crypto data | |
| btc = pd.read_csv('crypto/BTC_USD.csv') | |
| ``` | |
| ## Source | |
| Data from Yahoo Finance via yfinance library. | |