Quant Python: Architecting Autonomous Trading Systems
Python QuantThis course moves you from a coder to a Quant Infrastructure Engineer, focusing on high-concurrency execution and robust risk management.In production, a slippage or a WebSocket delay is the difference between a high-performing alpha and a blown account.
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 46 | Subscribers | Read | quantpython.substack.com |
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Day 43: Broker State — Defining the Internal Cash/Holdings Ledger
Before you write a single line of trading logic, you need a ledger.
Day 42 — Class Serialization: Exporting Order Objects to Dictionaries
What We’re Building
Day 41 — Time-In-Force: Implementing GTC (Good-Till-Canceled) Rules
What you will build today: A crash-safe, idempotent GTC order engine backed by SQLite, driven by a WebSocket trade stream, and guarded by a vectorized expiry policy — running live against Alpaca’s paper trading sandbox.
Day 40 — Fill Timestamps Are Lies
> Think about what happens the moment you click “buy” on a stock. Between you pressing that button and the trade actually executing on an exchange, a small cascade of events fires off — your app sends a request, the broker checks your accou...
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