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61 lines
3.0 KiB
Markdown
61 lines
3.0 KiB
Markdown
# fund-indicators
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[](./LICENSE)
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[](https://github.com/andrewkdinh/fund-indicators/commits/master)
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[](https://bestpractices.coreinfrastructure.org/projects/2667)
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fund-indicators is a cross-platform Python application that allows users to easily find relationships between various attributes of mutual funds and previous performance. This project is based on research from [*Performance Indicators of Mutual Funds*](https://nextcloud.andrewkdinh.com/s/xNgGQ4nPNkSqJti).
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[](https://asciinema.org/a/jLmZapnMFGCRiiSUITY21erLW?autoplay=1&preload=1)
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## Key Features
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- 100% automated
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- Uses multiple API's in the case another fails
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- Caches http requests for future runs
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- Scrapes data from Yahoo Finance
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- Color-coded for easy viewing
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- Optional graphs to easily visualize linear regression results
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- A new joke every time
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- Cross-platform (tested on Windows and Linux)
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## Quickstart
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Give it a try at [repl.run](https://fund-indicators.andrewkdinh.repl.run) or [repl.it](https://repl.it/@andrewkdinh/fund-indicators).
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If you would like to clone to your own machine:
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```shell
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git clone https://github.com/andrewkdinh/fund-indicators.git
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cd fund-indicators
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pip install -r requirements.txt
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python main.py
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```
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- Common mutual funds are listed in `stocks.txt`
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- Configure and rename `config.example.json` to `config.json` if you would like to skip some beginning questions (only for advanced users)
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## Planned Features
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- Graphical user interface (GUI)
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- Multithreading/asynchronous requests
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- Option to change amount to log (DEBUG, INFO, ERRORS)
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## Contributing
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Want to help? Great! Check out the [CONTRIBUTING.md](./CONTRIBUTING.md) file!
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## Credits
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This project utilizes a wide variety of open-source projects:
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- [NumPy](https://github.com/numpy/numpy), [Termcolor](https://github.com/hfeeki/termcolor), [Beautiful Soup](https://launchpad.net/beautifulsoup), [yahoofinancials](https://github.com/JECSand/yahoofinancials), [requests-cache](https://github.com/reclosedev/requests-cache), [halo](https://github.com/manrajgrover/halo), [matplotlib](https://github.com/matplotlib/matplotlib), [asciinema](https://github.com/asciinema/asciinema), [Core Infrastructure Initiative Best Practices Badge](https://github.com/coreinfrastructure/best-practices-badge)
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And thank you to those that have helped me with the idea and product:
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- Amber Bruce, [Alex Stoykov](http://stoykov.us/), Doug Achterman, [Stack Overflow](https://stackoverflow.com)
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Licensed under [GPL-3.0](https://raw.githubusercontent.com/andrewkdinh/fund-indicators/master/LICENSE) | Copyright (C) 2019 Andrew Dinh
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