https://github.com/danielcba/mini_dashboard

query metrics for multiple tickers
https://github.com/danielcba/mini_dashboard

pandas plotly python streamlit ticker yfinance

Last synced: 14 days ago
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query metrics for multiple tickers

• Host: GitHub
• URL: https://github.com/danielcba/mini_dashboard
• Owner: danielcba
• License: mit
• Created: 2025-05-05T15:39:12.000Z (16 days ago)
• Default Branch: main
• Last Pushed: 2025-05-07T01:24:13.000Z (15 days ago)
• Last Synced: 2025-05-07T18:13:06.952Z (14 days ago)
• Topics: pandas, plotly, python, streamlit, ticker, yfinance
• Language: Python
• Homepage:
• Size: 47.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README-EN.md
  • License: LICENSE

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README

        
# 📈 Stock Dashboard (ticker)

An interactive web app built with [Streamlit](https://streamlit.io/) that allows users to dynamically explore **financial metrics**, **historical prices**, and **dividends** for both local and international stocks. Perfect for investment tracking and stock analysis 📊.

---

## 🧰 Features

✅ Multi-select support for **stock tickers**  

✅ Interactive charts for **historical price trends**  

✅ **Dividends chart** per period  

✅ Panel of **key financial metrics** (P/E, ROE, Beta, etc.)  

✅ Analyst **recommendation** with color indicators  

✅ **CSV export** functionality  

✅ Responsive interface with **dark/light mode**

---

## 🖼️ Screenshot

![image](https://github.com/user-attachments/assets/3b6bec4a-5537-4fcd-b923-ebaeb5ee8f53)

```bash

🚀 Installation

    Clone this repository:

git clone https://github.com/danielcba/mini_dashboard.git

cd /danielcba/mini_dashboard

    (Optional) Create a virtual environment:

python -m venv env

source env/bin/activate  # On Linux/macOS

env\Scripts\activate     # On Windows

    Install dependencies:

pip install -r requirements.txt

    Main packages:

        streamlit

        yfinance

        plotly

        pandas

▶️ Usage

Run the app locally with:

streamlit run app.py

Then open your browser at http://localhost:8501

🧠 How It Works

The app:

    Uses yfinance to fetch financial data and historical prices for each selected ticker.

    Displays a set of key metrics (P/E, dividends, ROE, etc.) along with dynamic price and dividend charts.

    Includes export options for offline analysis.

📁 Data Export

    You can export historical stock data as a CSV file via the sidebar.

    Exporting the app as HTML is mentioned (requires external tools like streamlit-logger).

📝 License

This project is licensed under the MIT License. See the LICENSE file for more details.