Building Multi-Asset Crypto Monitors with Aggregated Exchange Tickers
Summary
This tutorial shows how to build a multi-asset cryptocurrency strategy framework using exchange-wide ticker endpoints. It compares aggregated market data from Binance futures and Huobi spot, whose response schemas and field names differ, then normalizes quotes through exchange-specific callback functions. A manager object stores the exchange, subscribed symbols, ticker data, and account information; it fetches the ticker list, filters it to requested markets, and displays selected bid and ask prices.
The article also sketches callbacks for collecting per-market spot balances and futures account balances, and suggests using the framework to monitor spot-futures price differences as a basis for a later hedge strategy. The demonstrated code retrieves and presents market and account data rather than implementing or evaluating that trading strategy. Its examples are limited to the named venues and APIs, and the tutorial does not address endpoint reliability, rate limits, synchronization, execution, fees, or hedge risk.
Key ideas
- Aggregated ticker endpoints can provide market data for many trading pairs in a single request.
- Exchange-specific callbacks normalize different response structures into common ticker fields.
- A manager can filter the full ticker list to the strategy's subscribed symbols.
- Account callbacks can map venue-specific balance data into a shared per-symbol structure.
- The framework can support monitoring spot-futures spreads, but the article does not implement or test a hedge strategy.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.