Stock Dashboard Using Streamlit in Pyhton
README file for the provided code:
# Stock Dashboard
This Stock Dashboard is a web application built using Streamlit, which allows users to analyze stock data, view pricing movements, fundamental data, news, and technical indicators for a given stock ticker.
## Installation
To run this application, make sure you have the following dependencies installed:
- streamlit
- pandas
- numpy
- yfinance
- plotly.express
- plotly.graph_objects
- alpha_vantage
- stocknews
- pandas_ta
You can install these dependencies by running the following command:
```shell
pip install streamlit pandas numpy yfinance plotly alpha_vantage stocknews pandas_ta
- Run the application by executing the following command in your terminal:
streamlit run stock_dashboard.py-
Once the application is running, you will see a sidebar on the left side where you can enter the stock ticker and select the start and end dates for the data.
-
The dashboard consists of several tabs:
- Line Chart: Displays the line chart of the adjusted close prices for the given stock ticker.
- Candle Chart: Displays the candlestick chart for the given stock ticker.
- Pricing Data: Shows the pricing movements, annual return, standard deviation, and risk-adjusted return for the selected stock.
- Fundamental Data: Provides the balance sheet, income statement, and cash flow statement for the selected stock.
- Top 10 News: Displays the top 10 news articles related to the selected stock, including their published date, title, summary, and sentiment.
- Technical Analysis: Allows users to select and view various technical indicators for the selected stock.
-
Uncomment the code related to the OpenAI ChatGPT integration if you have a valid session token for the ChatGPT API. This will provide additional information on reasons to buy/sell the stock and SWOT analysis.
Contributions are welcome! If you find any issues or have suggestions for improvements, please feel free to submit a pull request.
This project is licensed under the MIT License.