A cross-platform desktop GUI application for viewing and analyzing historical data for Indian stocks from NSE (National Stock Exchange).

Walkthrough of Indistocks 0.6.2

• Cross-Platform GUI: Native desktop application built with Rust and egui - works on Linux, Windows, and macOS
• Fully Local: All data stored and processed locally - no cloud dependencies or privacy concerns
• NSE Stock List Management: Download and maintain up-to-date list of NSE stocks with ISIN mapping
• Historical Data Downloader: Automated BhavCopy data downloader from NSE archives with progress tracking
• Stock Data Grid: Virtual scrolling table displaying all stocks with:
  • Real-time filtering by price range
  • Configurable date ranges (Last 5 Days, Last 30 Days, Last 52 Weeks)
  • Key metrics: LTP (Last Traded Price), % Change, Volume, High/Low ranges
  • Color-coded price changes (green for gains, red for losses)
  • Efficient rendering for thousands of stocks
• Interactive Stock Charts:
  • Historical price visualization with egui_plot
  • Adaptive date formatting based on time range
  • Hover tooltips showing exact price and date
  • Clean, responsive interface
• Smart Search: Fast symbol search with caching for quick access to any stock
• Recently Viewed: Quick access sidebar for your most recent stock views
• SQLite Database: Efficient local storage with proper indexing and foreign key constraints

Graph of a single Stock from NSE India data

• Modern Rust architecture with workspace structure
• Async download with progress reporting
• Automatic data validation and integrity checks
• Configurable data directory in user config folder
• Rate-limited API requests to respect NSE servers
• CSV parsing with flexible field handling for varying NSE formats

Download the latest release for your platform from the GitHub Releases page.

Linux:

# Download the latest release
wget https://github.com/brainless/Indistocks/releases/latest/download/indistocks-linux-x86_64.tar.gz
# Extract
tar -xzf indistocks-linux-x86_64.tar.gz
# Run
./indistocks

Windows: Download indistocks-windows-x86_64.zip, extract, and run indistocks.exe

macOS: Coming soon

• Rust toolchain (2021 edition or later)
• Display server (X11 or Wayland on Linux)

# Clone the repository
git clone https://github.com/brainless/Indistocks.git
cd Indistocks
# Build release binary
cargo build --release
# Run
cargo run --release

Home screen right after downloading

1. Download NSE Stock List: Go to Settings (⚙ icon) and click "Download NSE List" to get the current list of NSE stocks
2. Download Historical Data: Click "Download BhavCopy Data" to fetch historical stock prices
   • Data downloads from yesterday backwards for ~365 days
   • Progress is shown in real-time
   • Downloaded data is automatically processed and indexed

Settings page and download options

1. Search for Stocks: Use the search bar at the top to find any NSE stock by symbol
2. View Stock Charts: Click any stock symbol to view its historical price chart
3. Browse All Stocks: Navigate to the "Stocks" page to see the complete grid with filters
4. Filter by Price: Enter min/max price range to narrow down stocks
5. Change Time Range: Select different ranges (5 days, 30 days, 52 weeks) to see different metrics

• Database: ~/.config/Indistocks/db.sqlite3 (Linux) or equivalent on Windows/Mac
• Downloads: ~/.config/Indistocks/downloads/ organized by year/month
• Logs: ~/.config/Indistocks/logs/

Indistocks/
├── indistocks-gui/ # GUI application (eframe/egui)
│ └── src/
│ ├── main.rs # Entry point
│ ├── app.rs # Application state
│ └── ui/ # UI components
│ ├── main_content.rs # Chart viewer
│ ├── stocks.rs # Data grid
│ ├── sidebar.rs # Recently viewed
│ ├── settings.rs # Settings page
│ └── top_nav.rs # Search bar
└── indistocks-db/ # Database library
 └── src/
 ├── db/ # Database operations
 │ ├── schema.rs # Table definitions
 │ ├── operations.rs # CRUD operations
 │ └── downloads.rs # Download manager
 └── models/ # Data models

This project is built on the shoulders of giants. Special thanks to:

• Rust - The systems programming language that makes this possible
• egui & eframe - Immediate mode GUI framework for beautiful cross-platform UIs
• egui_plot - Plotting library for interactive charts
• SQLite & rusqlite - Embedded database for local data storage

• reqwest - HTTP client for downloading NSE data
• tokio - Async runtime for concurrent operations
• csv - CSV parsing for NSE data files
• zip - ZIP archive extraction

• chrono - Date and time handling
• serde - Serialization framework
• directories - Platform-specific directory paths
• clap - Command-line argument parsing

• Claude Code - Agentic coding assistant that helped with architecture, implementation, and testing
• OpenCode - Agentic coding tool for development assistance

• NSE India - National Stock Exchange of India for historical market data

See LICENSE file for details.