In today’s financial markets, opportunities in a single market are limited. Relying on data and strategies from a single market is no longer sufficient for efficient quantitative trading.
Cross-market, multi-asset strategies allow for risk diversification while capturing arbitrage opportunities across different markets. AllTick provides a unified API covering stocks, forex, commodities, and cryptocurrencies, offering foundational data and real-time market feeds for strategy implementation.
Comprehensive Asset Coverage
The effectiveness of quantitative strategies depends on the breadth and depth of data. AllTick covers over 100,000 trading instruments, spanning major global markets.
Asset coverage visualization (for blog illustration):
Stocks ██████████████████ 40% Forex █████████ 20% Commodities ███████ 15% Cryptocurrencies ████████ 25%
| Asset Class | Coverage | Data Features |
|---|---|---|
| Stocks | 5,000 A-shares, 17,000+ US/HK stocks | Historical K-line + Real-time prices |
| Forex & Commodities | 100+ currency pairs, Gold/Silver/Crude/Natural Gas | Tick-level updates + Historical data |
| Cryptocurrencies | Major CEX & DEX | Real-time + Historical data |
| Indices | Major global indices | Macro hedging & portfolio optimization |
Comprehensive coverage provides traders with the flexibility to construct cross-market arbitrage and hedging strategies efficiently.
Data-Driven Trading Lifecycle
AllTick supports a full workflow from strategy development to live execution.
Trading lifecycle diagram (for blog illustration):
Historical Data (REST API) → Backtesting → Order Book Analysis → Live Execution (WebSocket)
| Phase | Description | Technical Features |
|---|---|---|
| Backtesting | Validate strategy across market cycles | Provides 5+ years of K-line historical data |
| Order Book Analysis | Assess market liquidity, reduce slippage | 5-level order book data |
| Live Execution | Ensure trade signals match market prices | Tick-by-Tick, low latency 150–170ms |
This lifecycle allows traders to focus on strategy optimization without spending excessive time on data processing or API integration.
Developer-Friendly Features
AllTick supports Python, Go, Java, and JavaScript. The API is flexible and allows choosing the appropriate mode depending on strategy needs:
- REST API: Ideal for historical data and end-of-day statistics; suited for batch analysis.
- WebSocket API: Persistent connections for low-latency real-time market data; suitable for high-frequency trading.
Combining REST and WebSocket supports development, backtesting, and live execution seamlessly.
Technical Usage Examples
1. Rapid Historical Data Access (REST API)
| Scenario | API Type | Data Range | Use Case |
|---|---|---|---|
| US stock daily data | REST | Last 5 years daily close | Backtesting, trend analysis |
| Forex tick-level trades | REST | Last 3 months | Strategy verification, slippage calculation |
| Cryptocurrency historical data | REST | BTC/USDT 1-minute K-lines | High-frequency strategy backtesting |
REST API enables fast bulk data retrieval, ideal for backtesting and historical analysis.
2. Real-Time Market Subscription (WebSocket API)
| Scenario | API Type | Update Frequency | Use Case |
|---|---|---|---|
| Stock tick trades | WebSocket | Tick-by-Tick | Live execution, order book analysis |
| Forex rates | WebSocket | Millisecond-level | Low-latency arbitrage, strategy triggers |
| Cryptocurrency market depth | WebSocket | Tick-by-Tick | Hedging, cross-exchange arbitrage |
WebSocket allows real-time signal execution with latency around 150–170ms, ensuring strategies remain fully synchronized with the market.
3. Cross-Market Strategy Examples
- Cross-Market Arbitrage
- Compare prices of the same index components in A-shares and Hong Kong stocks.
- Use REST to validate historical volatility; WebSocket for live execution.
- Multi-Asset Hedging
- Retrieve Forex and gold prices to calculate real-time portfolio risk exposure.
- REST for historical covariance matrices; WebSocket for live position adjustments to maintain stable risk.
This demonstrates the combined value of REST and WebSocket for a seamless workflow from backtesting to live execution.
Key Insights
- Cross-market, multi-asset strategies are the trend in modern quantitative trading.
- Comprehensive asset coverage and deep historical data provide a solid foundation for strategy validation.
- Tick-by-Tick updates and low-latency market feeds ensure live signals stay synchronized with the market.
- Combining REST and WebSocket accelerates development and deployment of trading strategies.
With AllTick, traders can focus on optimizing strategy logic and efficiently build cross-market arbitrage or hedging strategies.
