Short Answer
VaultCharts is a local-first platform. Your data lives on your device, not in the cloud. Unlike TradingView and other cloud-based platforms, VaultCharts gives you complete control over your market data, ensuring privacy, reproducibility, and independence from third-party data providers.
Detailed Explanation
Local-First Architecture
VaultCharts operates on a fundamentally different data model than traditional charting platforms:
- No cloud storage: All data is stored locally on your device
- No data collection: VaultCharts never uploads your data or trading activity
- No telemetry: Your usage patterns remain completely private
- Full ownership: You control every aspect of your data lifecycle
This architecture means you can:
- Work offline without internet connectivity
- Maintain complete data privacy
- Reproduce analyses exactly (same data, same results)
- Use proprietary or custom data sources
- Avoid vendor lock-in
How Data Flows Work
VaultCharts uses dataflows to fetch and manage market data. A dataflow is a configuration that defines:
- Data source: Where to fetch data from (API endpoint, file, etc.)
- Symbol format: How to request specific tickers
- Timeframe handling: How to aggregate or request different timeframes
- Authentication: API keys, headers, or other auth methods
- Parsing logic: How to transform raw data into OHLCV format
Data Templates
For popular providers, VaultCharts offers pre-configured templates that handle all the complexity:
- Cryptocurrency exchanges: Binance, Kraken, Coinbase, OKX, and more
- Stock markets: Yahoo Finance, Tiingo
- Custom providers: Any REST API with proper configuration
Templates eliminate the need to write code or configure complex API settings. You simply select a template, enter your symbol, and VaultCharts handles the rest.
Custom Data Sources
VaultCharts supports advanced API configurations for:
- Custom REST APIs: Any endpoint that returns OHLCV data
- File imports: CSV or JSON files with historical data
- Proprietary datasets: Your own research data or institutional feeds
- Real-time streams: WebSocket connections for live data
This makes VaultCharts suitable for:
- Quantitative research
- Institutional trading workflows
- Backtesting with historical datasets
- Custom market analysis
How VaultCharts Handles Data
Data Storage
All data is stored in a local database on your device. This includes:
- Historical OHLCV data
- Symbol metadata
- Dataflow configurations
- Custom indicators and calculations
Data Refresh
You can configure automatic background refresh for your dataflows:
- Scheduled updates: Set refresh intervals (e.g., every 5 minutes, hourly)
- Manual refresh: Update individual tickers on demand
- Bulk refresh: Refresh all tickers with one click
All updates run locally and never leave your device.
Data Format
VaultCharts normalizes all data to OHLCV format (Open, High, Low, Close, Volume):
- Consistent structure across all data sources
- Automatic timeframe conversion
- Support for multiple timeframes per symbol
- Efficient storage and retrieval
Common Use Cases
1. Cryptocurrency Trading
Use templates for major exchanges like Binance or Coinbase to track crypto markets with automatic updates.
2. Stock Market Analysis
Connect to Yahoo Finance or Tiingo for stock and ETF data, perfect for equity analysis.
3. Custom Research
Import proprietary datasets or connect to custom APIs for quantitative research and backtesting.
4. Multi-Source Analysis
Combine data from multiple sources in a single chart for comparative analysis.
Comparison with Other Platforms
| Feature | VaultCharts | TradingView | Other Platforms |
|---|---|---|---|
| Data storage | Local only | Cloud | Cloud |
| Data privacy | Complete | Limited | Varies |
| Custom data sources | Full support | Limited | Limited |
| Offline access | Yes | No | Usually no |
| Data ownership | You own it | Platform owns it | Platform owns it |