Building a Modular Python Framework for Multi-Currency Perpetual Trading
Summary
The document outlines a Python framework for running a strategy across several crypto perpetual contracts. It organizes account, position, order, precision, timing, and ticker data in shared structures, then describes functions for retrieving exchange specifications, refreshing quotes, and updating account and position information. A timed main loop coordinates those tasks and leaves the actual trading rules open for developers to add.
The implementation uses Binance’s simulated environment as its example and discusses exchange API calls, contract precision, and basic error handling. It provides design and code examples rather than performance evidence or a tested trading signal. The text notes that exchange interfaces and trading rules vary, and that live deployment would require exchange-specific adaptation, stronger risk controls, and reliability testing. The framework is therefore a starting point for strategy development, not a complete or validated trading system.
Key ideas
- A shared data structure keeps market, account, position, order, and timing information organized by symbol.
- The framework retrieves exchange contract specifications to help format orders within market limits.
- A scheduled loop refreshes market and account data before calling the strategy’s main trading logic.
- The examples use a simulated exchange and leave signal design and comprehensive risk controls to the developer.
- Exchange-specific API and trading-rule differences require adaptation before live use.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.