Complete Guide to Cross-Market Quantitative Trading: Building Multi-Asset Strategies with AllTick

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 ClassCoverageData FeaturesStocks5,000 A-shares, 17,000+ US/HK stocksHistorical K-line + Real-time pricesForex & Commodities100+ currency pairs, Gold/Silver/Crude/Natural GasTick-level updates + Historical dataCryptocurrenciesMajor CEX & DEXReal-time + Historical dataIndicesMajor global indicesMacro 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)

PhaseDescriptionTechnical FeaturesBacktestingValidate strategy across market cyclesProvides 5+ years of K-line historical dataOrder Book AnalysisAssess market liquidity, reduce slippage5-level order book dataLive ExecutionEnsure trade signals match market pricesTick-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)

ScenarioAPI TypeData RangeUse CaseUS stock daily dataRESTLast 5 years daily closeBacktesting, trend analysisForex tick-level tradesRESTLast 3 monthsStrategy verification, slippage calculationCryptocurrency historical dataRESTBTC/USDT 1-minute K-linesHigh-frequency strategy backtesting

REST API enables fast bulk data retrieval, ideal for backtesting and historical analysis.

2. Real-Time Market Subscription (WebSocket API)

ScenarioAPI TypeUpdate FrequencyUse CaseStock tick tradesWebSocketTick-by-TickLive execution, order book analysisForex ratesWebSocketMillisecond-levelLow-latency arbitrage, strategy triggersCryptocurrency market depthWebSocketTick-by-TickHedging, 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.