Stock Price Analysis Dashboard by Sayantika BanikStock Price Analysis Dashboard by Sayantika Banik

Stock Price Analysis Dashboard

Sayantika Banik

Data Analyst

Jupyter

Python

Investment & Asset Management

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Posted Apr 28, 2025

Dynamic dashboard for stock price analysis using Kaggle and Bokeh.

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Stock Price Analysis Dashboard

Sayantika Banik

Data Analyst

Jupyter

Python

Investment & Asset Management

Stock Price Analysis Dashboard

A Python-based dashboard for analyzing stock price data using Kaggle datasets and Bokeh visualization.

Project Overview

This project demonstrates interactive visualization and analysis tools for stock market data using Python and Bokeh. The data is sourced from Kaggle datasets and processed locally.

Tools & Technologies

Python 3.8+ - Core programming language

Jupyter Notebook - Interactive development environment

Bokeh - Interactive visualization library

Pixi - Environment and dependency management

Kaggle API - For dataset download

Project Structure

├── dashboard/
│   └── stock_analysis_dashboard.ipynb     # Main dashboard implementation
├── dataset/
│   ├── fetch_online.py                    # Kaggle dataset read & store locally script
│   └── local_TWLO_stock.csv               # csv data
├── 101_python                             # Project configuration
│   └── pixi.toml                          # env source and truth

Setup & Usage

Clone the repository

Configure Kaggle API credentials:

export KAGGLE_USERNAME=<your_username>
export KAGGLE_KEY=<your_api_key>

Install dependencies using Pixi:

pixi install

Download dataset using Pixi task:

pixi run 101_kaggle_data

Launch the dashboard:

pixi run dashboard

Navigate to dashboard/stock_analysis_dashboard.ipynb

Features

Interactive stock price visualization

Technical analysis indicators

Historical data analysis

Export capabilities

Development

To add new packages or modify existing ones:

Activate Pixi environment:

pixi shell

Install additional dependencies:

pixi add <package_name>

License

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

Like this project

Posted Apr 28, 2025

Dynamic dashboard for stock price analysis using Kaggle and Bokeh.

Likes

Views

Join 50k+ companies and 1M+ independents

Hire creatives Get hired

For independents

For companies

For companies Manage team projects Share hiring workspace Post jobs Discover contractors Sign contracts Approve invoices Global payments & tax compliance

Use Cases

For companies For freelancers For creator tools For agencies For VCs

Resources

Hire Freelancers

Explore all Top independents Design Engineering Marketing Music & audio Social media Video & animation Product Business consulting & HR Other

Company

Mission Careers Terms & conditions Privacy policy Cookie policy

Contact

Contact support

For independents

For companies

For companies Manage team projects Share hiring workspace Post jobs Discover contractors Sign contracts Approve invoices Global payments & tax compliance

Use Cases

For companies For freelancers For creator tools For agencies For VCs

Resources

Hire Freelancers

Explore all Top independents Design Engineering Marketing Music & audio Social media Video & animation Product Business consulting & HR Other

Contact

Contact support

Company

Mission Careers Terms & conditions Privacy policy Cookie policy

Stock Price Analysis Dashboard

A Python-based dashboard for analyzing stock price data using Kaggle datasets and Bokeh visualization.

Project Overview

This project demonstrates interactive visualization and analysis tools for stock market data using Python and Bokeh. The data is sourced from Kaggle datasets and processed locally.

Tools & Technologies

Python 3.8+ - Core programming language

Jupyter Notebook - Interactive development environment

Bokeh - Interactive visualization library

Pixi - Environment and dependency management

Kaggle API - For dataset download

Project Structure

├── dashboard/
│   └── stock_analysis_dashboard.ipynb     # Main dashboard implementation
├── dataset/
│   ├── fetch_online.py                    # Kaggle dataset read & store locally script
│   └── local_TWLO_stock.csv               # csv data
├── 101_python                             # Project configuration
│   └── pixi.toml                          # env source and truth

Setup & Usage

Clone the repository

Configure Kaggle API credentials:

export KAGGLE_USERNAME=<your_username>
export KAGGLE_KEY=<your_api_key>

Install dependencies using Pixi:

pixi install

Download dataset using Pixi task:

pixi run 101_kaggle_data

Launch the dashboard:

pixi run dashboard

Navigate to dashboard/stock_analysis_dashboard.ipynb

Features

Interactive stock price visualization

Technical analysis indicators

Historical data analysis

Export capabilities

Development

To add new packages or modify existing ones:

Activate Pixi environment:

pixi shell

Install additional dependencies:

pixi add <package_name>

License

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