Descriptions:
This tutorial from the Robot Traders channel provides a complete, code-first walkthrough of the Polymarket API using Python, taking developers from zero to placing a live authenticated trade on the world’s largest prediction market platform. Polymarket handles millions of dollars in daily volume across markets covering crypto price movements, Federal Reserve decisions, sports outcomes, and geopolitical events—and its API exposes the full platform surface programmatically.
The tutorial uses two primary packages: the open-source pylo club client for authenticated operations requiring a funded wallet, and Python’s requests library for all public data endpoints. Working inside a Jupyter notebook, the video covers fetching open market listings through the Gamma API endpoint, extracting market metadata (end dates, condition IDs, token pricing), reading order book data to calculate best bid, best ask, midpoint, and spread, and placing both limit and market orders through the CLOB (Central Limit Order Book) endpoint. Authentication is handled using a MetaMask wallet’s private key and wallet address—with explicit warnings about treating these credentials as highly confidential and never sharing them with third parties.
Bonus sections demonstrate building a lightweight price tracker with simple automation and a position tracker that monitors other users’ on-chain activity by wallet address. All code is open-source and linked in the video description. This is a practical reference for developers building automated trading systems, data pipelines, or prediction market analytics tools on top of Polymarket’s infrastructure.
📺 Source: Robot Traders · Published December 10, 2025
🏷️ Format: Tutorial Demo
