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https://github.com/rajputrockstar/visionarystocks
Real-Time Stock Price Visualization using Streamlit
https://github.com/rajputrockstar/visionarystocks
machine-learning machine-learning-algorithms python python-machine-learning python-modules python-script python3 stock-price-prediction stocks streamlit streamlit-application streamlit-component streamlit-dashboard streamlit-webapp
Last synced: 2 months ago
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Real-Time Stock Price Visualization using Streamlit
- Host: GitHub
- URL: https://github.com/rajputrockstar/visionarystocks
- Owner: RAJPUTRoCkStAr
- Created: 2024-03-27T16:26:10.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-09-12T02:37:35.000Z (5 months ago)
- Last Synced: 2024-09-12T12:22:14.876Z (5 months ago)
- Topics: machine-learning, machine-learning-algorithms, python, python-machine-learning, python-modules, python-script, python3, stock-price-prediction, stocks, streamlit, streamlit-application, streamlit-component, streamlit-dashboard, streamlit-webapp
- Language: Python
- Homepage: https://github.com/RAJPUTRoCkStAr/Stock-Prediction
- Size: 904 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- Changelog: News.py
Awesome Lists containing this project
README
# VisionaryStocks
Welcome to Real-Time Stock Price Visualization! This project provides a dynamic and interactive way to visualize stock price data in real-time, empowering users to explore market trends and patterns effortlessly.
## Overview
In the fast-paced world of financial markets, staying informed about stock price movements is crucial for making informed decisions. Real-Time Stock Price Visualization offers a streamlined solution for monitoring stock prices and analyzing market trends on-the-fly. With intuitive features and interactive visualizations, users can delve into the nuances of stock price dynamics with ease.
## Features
- **Real-Time Data**: Access up-to-the-minute stock price data.
- **Candlestick Charts**: Visualize stock price movements with candlestick charts.
- **Moving Averages**: Analyze trends using moving average indicators.
- **Interactive Interface**: Explore and interact with data using Plotly charts.
- **User-Friendly**: Simple and intuitive interface for seamless navigation.
- **Stock-News**: Get daily News of stocks and other thing related to finance.
## Technologies Used
- Python
- Streamlit
- yfinance
- Plotly
## Installation
To get started, follow these steps:
1. **Clone this repository**:
```bash
git clone https://github.com/RAJPUTRoCkStAr/Stock-Prediction
cd real-time-stock-price-visualization
```
2. **Install the required dependencies**:
```bash
pip install -r requirements.txt
```
3. **Run code**:
```bash
streamlit run app.py
```
## Usage
The project provides several scripts for different stages of the stock price prediction process:
1. **Data Preprocessing**
2. **Model Training**
3. **Model Evaluation**
4. **Prediction**
5. **Find Company located at**
6. **There is an interactive chart**
For live usage and demo, visit [Visionary Stocks](https://visionarystocks.streamlit.app/).
## License
This project is licensed under the MIT License.