Building a Multi-Currency Perpetual Trading Framework with Shared Market Data
Summary
The article outlines a framework for running a strategy across several crypto perpetual contracts using a unified set of platform functions. It describes initializing per-symbol state, retrieving contract precision and market quotes, aggregating account and position data, converting contract counts into underlying exposure, and submitting orders with price and quantity rounding. A periodic main loop updates data, checks positions, runs trading logic, and refreshes status. The example trading rule is an iceberg-style approach that places small buy orders when a position’s value is below a threshold.
The article’s main contribution is implementation guidance for multi-asset strategy plumbing and exchange compatibility, rather than evidence for a profitable trading signal. It explains practical concerns such as contract value, one-way position assumptions, order limits, and keeping backtesting behavior aligned with live trading. The example logic is deliberately basic, and the text supplies no performance results or detailed risk controls. Correct behavior also depends on platform API support and instrument conventions, so the framework requires adaptation and validation for each venue and contract type.
Key ideas
- A shared state structure can track prices, orders, positions, account values, and precision for multiple instruments.
- Contract quantities may need conversion by contract value to represent underlying exposure accurately.
- Order placement should round prices and sizes to instrument increments and observe exchange limits.
- The example strategy places small buy orders when current position value remains below a preset cap.
- Framework compatibility does not establish that the example trading rule is profitable.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.