Stock Analysis
This project is a comprehensive tool that combines both fundamental and technical analysis to provide a holistic view of any stock. It is designed to scrape data from websites such as Yahoo Finance and perform detailed analysis on the collected data, delivering valuable insights and information about a particular stock.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Quant | 14,931 | 5 months ago | 11 | Python | ||||||
| A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance) | ||||||||||
| Yfinance | 11,667 |  | 13 | 283 | 3 months ago | 105 | December 06, 2023 | 182 | apache-2.0 | Python |
| Download market data from Yahoo! Finance's API | ||||||||||
| Yahooquery | 699 |  | 18 | 6 months ago | 44 | December 08, 2023 | 45 | mit | Python | |
| Python wrapper for an unofficial Yahoo Finance API | ||||||||||
| Yahoo Historical | 96 |  | 7 | 2 | a year ago | 16 | August 03, 2022 | 1 | mit | Python |
| Downloads historical EOD (end of day) prices from yahoo finance | ||||||||||
| Market_prices | 70 |  | 1 | 5 months ago | 18 | October 25, 2023 | 15 | mit | Python | |
| Get meaningful OHLCV datasets | ||||||||||
| Python3 For System Trade | 13 | 4 years ago | Jupyter Notebook | |||||||
| Python3ではじめるシステムトレードのプログラムコードと学習ガイド | ||||||||||
| Yahoo Finance Pynterface | 11 | 1 | 4 years ago | 4 | September 12, 2018 | 7 | mit | Python | ||
| Yahoo Finance Python Interface | ||||||||||
| Undervalued Crypto Finder | 11 | a year ago | 1 | gpl-3.0 | Python | |||||
| Get a list of cryptocurrencies which are now cheap and may be a good opportunity for investment | ||||||||||
| Predicting The Closing Stock Price Of Apple Using Lstm | 10 | a year ago | apache-2.0 | Jupyter Notebook | ||||||
| In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history. | ||||||||||
| Bovespa_portfolio | 6 | 6 years ago | mit | Jupyter Notebook | ||||||
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