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.
Disclaimer: Information is provided 'as is' and solely for informational purposes, not for trading purposes or advice.
pip install beibofrom 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 |
✅ |
ARIMA |
✅ |
AutoARIMA |
✅ |
Theta |
✅ |
4 Theta |
✅ |
Fast Fourier Transform (FFT) |
✅ |
Naive Drift |
✅ |
Naive Mean |
✅ |
Naive Seasonal |
✅ |
Beibo uses GitHub to host its source code. Learn more about the 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.
Smaller improvements (e.g., document improvements, bugfixes) can be handled by the Pull Request process of GitHub: pull requests.
-
To contribute to the code, you will need to do the following:
-
Fork Beibo - Click the Fork button at the upper right corner of this page.
-
Clone your own fork. 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If your fork is out of date, then will you need to manually sync your fork: Synchronization method -
Create a Pull Request 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!
- Unit8 for Darts
- @ranroussi for 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
You are welcome to contact us by email at [email protected] or in Beibo's discussion space
MIT