Short Answer
VaultCharts supports any market as long as a data source exists. This includes cryptocurrencies, stocks, ETFs, indices, commodities, forex, and custom datasets. Unlike platforms that limit you to their curated data sources, VaultCharts gives you the flexibility to connect to any data provider.
Supported Markets via Templates
Cryptocurrencies
VaultCharts includes pre-configured templates for major cryptocurrency exchanges:
- Binance: Spot, futures, and options markets
- Kraken: Spot and futures trading pairs
- Coinbase: Pro and Advanced Trade markets
- OKX: Spot, perpetual swaps, and options
- Bybit: Derivatives and spot markets
- And more: Additional exchange templates available
These templates handle:
- Symbol formatting (e.g., BTC/USDT, BTCUSDT)
- Timeframe conversion
- Rate limiting
- Authentication
Stocks & ETFs
Access equity markets through:
- Yahoo Finance: Free stock and ETF data
- Tiingo: Professional-grade stock market data
- Custom APIs: Connect to any stock data provider
Support includes:
- Major exchanges (NYSE, NASDAQ, etc.)
- International markets
- ETFs and index funds
- Real-time and historical data
Indices & Macro Data
Track market indices and macroeconomic data:
- Stock indices: S&P 500, NASDAQ, Dow Jones, etc.
- Crypto indices: Market cap weighted indices
- Economic indicators: Via API or CSV import
- Custom indices: Your own calculated indices
Advanced Usage
Custom REST APIs
VaultCharts supports any REST API that returns OHLCV data:
- Custom headers: Authentication tokens, API keys
- Query parameters: Symbol, timeframe, date ranges
- Pagination: Handle large datasets automatically
- Rate limiting: Respect API rate limits
- Error handling: Retry logic and fallback strategies
File Imports
Import historical data from files:
- CSV format: Standard OHLCV CSV files
- JSON format: Structured JSON data
- Multiple timeframes: Import different timeframes separately
- Bulk import: Load entire datasets at once
Proprietary Datasets
Use your own research data:
- Institutional feeds: Connect to proprietary data sources
- Backtesting data: Historical datasets for strategy testing
- Research data: Custom market analysis datasets
- Simulated data: Test strategies with synthetic data
Use Cases by Market Type
Cryptocurrency Trading
Perfect for crypto traders who need:
- Multi-exchange analysis
- Custom timeframes (3H, 12H, 2D, etc.)
- Spot and derivatives markets
- Cross-exchange arbitrage analysis
Stock Market Analysis
Ideal for equity traders and analysts:
- Multi-timeframe stock analysis
- Sector and industry comparisons
- ETF tracking
- Options and futures data integration
Quantitative Research
Suitable for researchers and quants:
- Custom data source integration
- Proprietary dataset analysis
- Backtesting with historical data
- Multi-asset portfolio analysis
Institutional Trading
Enterprise-ready features:
- Custom API integration
- Data source flexibility
- Privacy and security
- Reproducible analysis
How to Add New Markets
Using Templates
- Open the data import dialog
- Select a template for your exchange/provider
- Enter your symbol
- Choose your timeframe
- Click import
Using Custom APIs
- Create a new dataflow
- Configure API endpoint
- Set authentication (if required)
- Define symbol format
- Configure parsing logic
- Test and save
Using File Imports
- Prepare your CSV or JSON file
- Use the file import feature
- Map columns to OHLCV format
- Import and verify data
Limitations
VaultCharts does not:
- Provide data directly (you must connect to a data source)
- Guarantee data availability (depends on your data provider)
- Support all exchanges out of the box (but you can add any via API)