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https://github.com/kowshik24/predictstock
๐ StockSage: Predicting Tomorrow's Stocks, Today! ๐ Dive deep into the future of stock prices with StockSage! Powered by LSTM networks, this repository is a treasure trove for those looking to explore the intricacies of stock price predictions. ๐โจ ๐ Live App: https://stocksage.streamlit.app/
https://github.com/kowshik24/predictstock
data-science data-visualization deep-neural-networks lstm stock-market streamlit tensorflow
Last synced: about 2 months ago
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๐ StockSage: Predicting Tomorrow's Stocks, Today! ๐ Dive deep into the future of stock prices with StockSage! Powered by LSTM networks, this repository is a treasure trove for those looking to explore the intricacies of stock price predictions. ๐โจ ๐ Live App: https://stocksage.streamlit.app/
- Host: GitHub
- URL: https://github.com/kowshik24/predictstock
- Owner: kowshik24
- Created: 2023-09-29T21:47:49.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-30T22:55:42.000Z (over 1 year ago)
- Last Synced: 2023-09-30T23:25:37.841Z (over 1 year ago)
- Topics: data-science, data-visualization, deep-neural-networks, lstm, stock-market, streamlit, tensorflow
- Language: Jupyter Notebook
- Homepage: https://stocksage.streamlit.app/
- Size: 3.54 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ๐ Stock Price Analysis and Prediction Using LSTM ๐
![Stock Image](images/stock_image.jpeg)
Dive deep into the world of stocks with our application! ๐ Powered by LSTM (Long Short-Term Memory) networks, we provide a comprehensive analysis and prediction of stock prices. Leveraging libraries like pandas, numpy, matplotlib, yfinance, keras, streamlit, and plotly, we ensure accurate and visually appealing insights. ๐
Welcome to the Stock Price Analysis and Prediction application powered by Streamlit! Dive deep into the world of stocks, visualize trends, and predict future prices with the power of LSTM networks.
## ๐ Live Demo
Experience the application live! ๐
๐ [Stock Price Analysis & Prediction Streamlit App](YOUR_PUBLIC_URL_HERE)
## ๐ Features
1. **๐ Stock Selection**: Dive into a plethora of stock tickers for detailed analysis and future predictions.
2. **๐ Date Range**: Customize your analysis period with a flexible date range.
3. **๐ Data Overview**: A comprehensive table showcasing stock data at your fingertips.
4. **๐จ Visualizations**: Rich and interactive visualizations including stock price trends, trading volumes, moving averages, daily returns, cumulative returns, Bollinger Bands, MACD, RSI, and so much more!
5. **๐ฎ Predictions**: Peer into the future with our LSTM-powered stock price predictions.
6. **๐ Contact Form**: Got questions? We've got a built-in contact form waiting for you!## ๐ผ๏ธ Sample Visualizations ๐จ
Dive into the visual essence of our application with these sample images. They provide a glimpse of the rich and interactive visualizations you can expect!| ![Sample 1](images/sample_1.png) | ![Sample 2](images/sample_2.png) |
|:--------------------------------:|:--------------------------------:|
| **Sample Visualization 1** | **Sample Visualization 2** |
| ![Sample 3](images/sample_3.png) | ![Sample 4](images/sample_4.png) |
| **Sample Visualization 3** | **Sample Visualization 4** |
| ![Sample 5](images/sample_5.png) | ![Sample 6](images/sample_6.png) |
| **Sample Visualization 5** | **Sample Visualization 6** |
| ![Sample 7](images/sample_7.png) | ![Sample 8](images/sample_8.png) |
| **Sample Visualization 7** | **Sample Visualization 8** |> ๐ _Experience the vibrant and detailed insights our application offers. It's not just about numbers; it's about visual storytelling!_
## ๐ Installation
1. **Clone the Magic**:
```bash
git clone https://github.com/kowshik24/PredictStock
```
2. Step into the Portal๐โโ๏ธ :
```bash
cd PredictStock
```
3. Craft Your Environment๐จ:
```bash
python -m venv venv
```
4. Awaken the Environment ๐:
```bash
venv\Scripts\activate
```
5. Install the required libraries ๐:
```bash
pip install -r requirements.txt
```
6. Launch the Rocket ๐:
```bash
streamlit run app.py
```## ๐ Contact
For any queries or feedback, please reach out to:
- ๐ง **Email**: [[email protected]](mailto:[email protected])
- ๐ฑ **Phone**: 01706 896161
- ๐ **Website**: [https://kowshik24.github.io/kowshik.github.io/](https://kowshik24.github.io/kowshik.github.io/)
- ๐ **GitHub**: [Kowshik Deb Nath](https://github.com/kowshik24)---
> ๐ _We value your feedback and are always here to help. Let's connect!_ ๐