https://github.com/rbhatia46/stock-forecasting-prophet
Stock price forecasting for Reliance Stock using FBProphet.
https://github.com/rbhatia46/stock-forecasting-prophet
Last synced: about 2 months ago
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Stock price forecasting for Reliance Stock using FBProphet.
- Host: GitHub
- URL: https://github.com/rbhatia46/stock-forecasting-prophet
- Owner: rbhatia46
- Created: 2020-07-19T03:58:13.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-19T05:14:01.000Z (about 5 years ago)
- Last Synced: 2025-03-18T13:37:09.990Z (7 months ago)
- Language: Jupyter Notebook
- Size: 248 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Stock-Forecasting-Prophet
Stock price forecasting for Reliance Stock using FBProphet.
**Disclaimer - The code in this repository is just for learning purposes, and you should never use this to invest/trade any stock, because there are a lot of other factos that govern
the price of a stock, which are beyond past performances, having said that, I am not responsible for any profit/loss you make using this to make decisions, I strongly discourage anyone from doing that.**
* There are a lot of Time series forecasting methods available, and Deep-Learning based forecasts using LSTM are quite popular, however I think that Prophet, by Facebook is an amazing open source library, which is
often underestimated and can be used
for making really amazing and accurate forecasts, specially if the **time series has strong seasonal effects and several seasons of historical data**.
* In this running example, we forecast the closing price of Reliance's Stock(Yahoo Ticker : RELIANCE.NS), which is India's largest publically listed company(according to Market cap), listed on both
NSE(National Stock Exchange) and BSE(Bombay Stock Exchange). This example can be used a boilerplate for any time-series forecasting, and remember, Prophet works amazingly well if you data has a strong seasonality.
* **Are stock prices Seasonal?** - The answer to that is both Yes and No, in short, it highly depends.
Therefore, one of the best use-cases of Prophet might be Forecasting Sales of an E-Commerce company, or in general, any time-series that has a strong seasonal component.
Feel free to play around with this code, happy learning!