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beibo-0.1.1
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مشاهده بیشترتوضیحات
🤖 Predict the stock market with AI 用AI预测股票市场
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | beibo-0.1.1 |
| نام | beibo |
| نسخه کتابخانه | 0.1.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Santosh Passoubady |
| ایمیل نویسنده | santoshpassoubady@gmail.com |
| آدرس صفحه اصلی | https://github.com/ssantoshp/Beibo |
| آدرس اینترنتی | https://pypi.org/project/beibo/ |
| مجوز | MIT |
# Beibo, predict the stock market 💸
<br/>
<br/>
<p align="center">
<img height="200" src="https://user-images.githubusercontent.com/61618641/147752368-7488930a-49d7-42ae-b14f-50555c5a721e.png" alt="Beibo logo")
</p>
<br/>
<div align="center">
[](https://colab.research.google.com/drive/1dn-JklrtCmALfWYz7uVWywVT4breQxm_?usp=sharing)
</div>
<br/>
<br/>
**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
)
```
<br/>
**Output**
<br/>
<p align="center">
<img height="600" src="https://user-images.githubusercontent.com/61618641/147704638-8713f729-c196-4f13-b9f3-b57709ad7e65.png" alt="Beibo output")
</p>
<br/>
**About Accuracy**
<div align="center">
| MAPE | Interpretation |
| ------------- | ------------- |
| <10 | Highly accurate forecasting 👌 |
| 10-20 | Good forecasting 🆗 |
| 20-50 | Reasonable forecasting 😔 |
| >50 | Inaccurate forecasting 👎 |
</div>
<br/>
**Models available**
<div align="center">
| 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``` | ✅ |
</div>
## Stargazers over time
<div align="center">
</div>
## 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
نیازمندی
| مقدار | نام |
|---|---|
| - | darts |
| - | yfinance |
نحوه نصب
نصب پکیج whl beibo-0.1.1:
pip install beibo-0.1.1.whl
نصب پکیج tar.gz beibo-0.1.1:
pip install beibo-0.1.1.tar.gz