Python for Finance, 3rd Edition

Chapter 24. Building a Market and Broker for Trading

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This will be the 24th chapter of the final book. Please note that the GitHub repo will be made active later on.

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Real markets and broker platforms manage streams of quotes, orders, executions, and account states in a structured way. This chapter designs and scaffolds a small importable engine package in Python that simulates pseudo-real-time market-data replay, GBM-based tick generation, order handling, fills, JSON-style confirmations, positions, and account state, providing the reusable backbone on which Chapter 25 can build.

This chapter moves from backtesting abstractions to a broker-style simulation layer. The goal is not to replicate every corner case of a production execution stack, but to model the workflows that matter most for educational algo-trading systems: quote updates arrive one by one, strategies react to new observations, orders are placed against the latest bid-ask state, fills update cash and positions, and the broker returns structured responses that a program can inspect or log. The examples assume a working Python environment ...