In quantitative trading, automated strategy development, and multi-market data analysis, the quality and stability of real-time market data often directly determine strategy performance. Depending on different levels of trading needs, choosing the right data subscription plan not only helps control costs but also significantly improves development and trading efficiency.

Below is a reference based on common trading scenarios to help you better match the subscription plan that suits you.

1. Beginner testing stage: lightweight access and feature validation

If you are in the early stage of strategy development, your main goal is to verify whether the API meets technical expectations, such as:

  • Testing interface stability
  • Verifying whether data structures fit your system
  • Performing simple data replay or prototype development

In this stage, a free plan is usually sufficient.
The focus is not performance, but quickly getting the workflow running. Therefore, low request frequency and basic historical data are enough.

2. Light traders: real-time data for a small number of instruments

If your trading strategy is relatively simple, for example tracking only a small number of forex pairs, cryptocurrencies, or popular stocks, and you need real-time market data push, then a basic subscription plan is suitable.

Typical characteristics:

  • Focus on a small number of instruments (tens to under 100)
  • Require stable WebSocket real-time data
  • Some automation trading or monitoring needs

Advantages:

  • Supports real-time tick data and order book information
  • Low latency, suitable for basic quantitative strategies
  • Relatively low cost

3. Medium-scale trading needs: frequent strategy calls and multi-asset monitoring

When trading strategies become more complex, such as:

  • Running multiple strategies in parallel
  • Monitoring multiple markets simultaneously
  • Significantly increased API request frequency

You need a higher-performance subscription tier.

Key capabilities:

  • Higher API rate limits (supports high-frequency strategy execution)
  • More tradable instruments
  • Multiple WebSocket connections
  • Longer historical data for backtesting

This level is suitable for active traders or small quantitative teams.

4. Professional-level needs: high-frequency trading and systematic quant teams

When the trading system becomes more engineered, such as:

  • High-frequency strategies (HFT or near-HFT)
  • Multi-strategy and multi-account management
  • Real-time risk control and market-driven systems

You need a professional-grade data subscription plan.

Typical features:

  • Extremely high API limits
  • Support for thousands of trading instruments
  • High concurrency WebSocket connections
  • Extended historical data for deep research and modeling

This level is typically used by institutional users or quant teams.

5. Full coverage of a specific market: deep data for a single market focus

If your strategy focuses on a single market (e.g., US stocks, A-shares, or Hong Kong stocks), then a “full-market coverage subscription” is often more cost-effective.

Suitable for:

  • Traders focused on a single market
  • Sector rotation or market breadth strategies
  • Quant models requiring full stock universe coverage

Advantages:

  • Nearly full coverage of all instruments in the market
  • Suitable for stock selection, rotation, and index enhancement strategies
  • Higher data completeness

6. How to make the final choice? Four key dimensions

When selecting a plan, consider the following:

1. Number of trading instruments

  • Few assets → basic plan
  • Medium scale → advanced plan
  • Large scale → professional/full-market plan

2. API request frequency

  • Low-frequency strategies → entry/basic
  • High-frequency strategies → advanced or higher

3. Historical data needs

  • Short-term testing → basic history is enough
  • Deep research → longer historical data required

4. Real-time performance and stability
If your system involves:

  • Real-time trading decisions
  • Automated execution
  • Risk control systems

Then low latency and high stability are essential.

Summary

Choosing a data subscription plan is essentially a trade-off between cost, coverage, and performance.

  • Light users: prioritize “sufficiency”
  • Intermediate traders: focus on “stability + scalability”
  • Professional quant teams: focus on “performance + scale”
  • Single-market strategies: focus on “data completeness”

Once your trading needs are clearly defined, selecting the appropriate plan ensures that data services truly add value to your strategy rather than becoming a cost burden.