https://github.com/santoshlite/beibo

🤖 Predict the stock market with AI 用AI预测股票市场
https://github.com/santoshlite/beibo

ai artificial-intelligence finance investment investment-analysis machine-learning portfolio-management quant quantitative-finance stock stock-market stock-price-prediction stocks

Last synced: 9 months ago
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🤖 Predict the stock market with AI 用AI预测股票市场

• Host: GitHub
• URL: https://github.com/santoshlite/beibo
• Owner: santoshlite
• License: mit
• Created: 2021-12-29T18:13:29.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-12-30T12:39:44.000Z (about 4 years ago)
• Last Synced: 2025-04-19T00:36:27.242Z (10 months ago)
• Topics: ai, artificial-intelligence, finance, investment, investment-analysis, machine-learning, portfolio-management, quant, quantitative-finance, stock, stock-market, stock-price-prediction, stocks
• Language: Python
• Homepage:
• Size: 31.3 KB
• Stars: 96
• Watchers: 4
• Forks: 17
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Beibo, predict the stock market 💸









  

 


  



  

![](https://img.shields.io/badge/license-MIT-orange)

![](https://img.shields.io/badge/version-0.1.1-blueviolet)

![](https://img.shields.io/badge/language-python🐍-blue)

![](https://img.shields.io/badge/Open%20source-💜-white)	

[![Quickstart](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1dn-JklrtCmALfWYz7uVWywVT4breQxm_?usp=sharing)

  









  

**Beibo** is a **Python** library that uses several **AI prediction models** to predict **stocks returns** over a defined period of time. 

It was firstly introduced in one of my previous package called [**Empyrial**](https://github.com/ssantoshp/Empyrial). 

  

_Disclaimer: Information is provided 'as is' and solely for informational purposes, not for trading purposes or advice._

## How to install 📥

```py

pip install beibo

```

  

## How to use 💻

  

```py

from beibo import oracle

  

oracle(

      portfolio=["TSLA", "AAPL", "NVDA", "NFLX"], #stocks you want to predict

      start_date = "2020-01-01", #date from which it will take data to predict

      weights = [0.3, 0.2, 0.3, 0.2], #allocate 30% to TSLA and 20% to AAPL...(equal weighting  by default)

      prediction_days=30 #number of days you want to predict

)

  

```




**Output**






  




**About Accuracy**



   

| MAPE  | Interpretation |

| ------------- | ------------- |

| <10  | Highly accurate forecasting 👌  |

| 10-20  | Good forecasting 🆗  |

| 20-50  | Reasonable forecasting 😔  |

| >50  | Inaccurate forecasting 👎 |

	



 


**Models available**

  



   

| Models  | Availability |

| ------------- | ------------- |

| ```Exponential Smoothing```  |  ✅  |

| [```Facebook Prophet```](https://github.com/facebook/prophet)  |  ✅  |

| ```ARIMA```  |  ✅  |

| ```AutoARIMA```  |  ✅  |

| [```Theta```](https://robjhyndman.com/papers/Theta.pdf) |  ✅  |

| [```4 Theta```](https://github.com/Mcompetitions/M4-methods/blob/master/4Theta%20method.R)  |  ✅  |

| ```Fast Fourier Transform``` (FFT)  |  ✅  |

| ```Naive Drift```  |  ✅  |

| ```Naive Mean```  |  ✅  |

| ```Naive Seasonal```  |  ✅  |

	



  

## Stargazers over time



	

![追星族的时间](https://starchart.cc/ssantoshp/Beibo.svg)

	



## Contribution and Issues

Beibo uses GitHub to host its source code.  *Learn more about the [Github flow](https://docs.github.com/en/get-started/quickstart/github-flow).*  

For larger changes (e.g., new feature request, large refactoring), please open an issue to discuss first.  

* If you wish to create a new Issue, then [click here to create a new issue](https://github.com/ssantoshp/Beibo/issues/new/choose).  

Smaller improvements (e.g., document improvements, bugfixes) can be handled by the Pull Request process of GitHub: [pull requests](https://github.com/ssantoshp/Beibo/pulls).  

* To contribute to the code, you will need to do the following:  

 * [Fork](https://docs.github.com/en/get-started/quickstart/fork-a-repo#forking-a-repository) [Beibo](https://github.com/ssantoshp/Beibo) - Click the **Fork** button at the upper right corner of this page. 

 * [Clone your own fork](https://docs.github.com/en/get-started/quickstart/fork-a-repo#cloning-your-forked-repository).  E.g., ```git clone https://github.com/ssantoshp/Beibo.git```  

  *If your fork is out of date, then will you need to manually sync your fork: [Synchronization method](https://help.github.com/articles/syncing-a-fork/)*

 * [Create a Pull Request](https://github.com/ssantoshp/Beibo/pulls) using **your fork** as the `compare head repository`. 

You contributions will be reviewed, potentially modified, and hopefully merged into Beibo.  

**Contributions of any kind are welcome!**

## Acknowledgments

- [Unit8](https://github.com/unit8co) for [Darts](https://github.com/unit8co/darts)

- [@ranroussi](https://github.com/ranaroussi) for [yfinance](https://github.com/ranaroussi/yfinance) 

- This random guy on Python's Discord server who helped me 

- @devnull10 on Reddit who warned me when I called the package The Oracle

## Contact

You are welcome to contact us by email at **santoshpassoubady@gmail.com** or in Beibo's [discussion space](https://github.com/ssantoshp/Beibo/discussions)

## License

MIT