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finance's Introduction

Finance

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

Organization

  • A compilation of programs that screen stocks based on technical indicators and fundamental data.
  • A compilation of programs that serve as an introduction into using machine learning for classifying and predicting stock market data. Purely for educational purposes.
  • A compilation of programs that simulate a popular trading strategy (moving average crossovers, etc.) or perform analysis on a given portfolio (optimization, etc.)
  • A compilation of programs that perform analysis on a particular stock (intrinsic value, seasonality)
  • A compilation of programs that collect stock technical price action and fundamental company data with the use of APIs and web scraping
  • A compilation of programs that recreate a visual representation of the most popular technical indicators (bollinger bands, RSI, MACD, etc.)

Installation

Install required dependencies with the requirements.txt file in the base directory

pip install -r requirements.txt

Authors

License

MIT

Acknowledgements

Disclaimer

The material in this repository is purely for educational purposes and should not be taken as professional investment advice.

finance's People

Contributors

shashankvemuri avatar royopa avatar dependabot[bot] avatar

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