How to Test a Polymarket Trading Bot in Python Before Going Live

说明与用途

Python Polymarket 交易机器人测试的分步计划：分离逻辑与执行、确定性风险检查、模拟订单、故障场景测试、历史模拟，并分阶段推进至实时部署。

问题

Polymarket trading bots can run without crashing yet still make serious mistakes such as duplicate orders, wrong position size, stale prices, or assuming unfilled orders.

结果

The workflow enables developers to detect and fix predictable failures early, reducing costly live errors and improving bot reliability.

工作流

• Separate trading logic from order execution
• Write deterministic risk‑control functions
• Add automated unit tests with pytest
• Simulate execution with a mock broker
• Test failure scenarios (insufficient balance, stale data, duplicate signals, partial fills, rejections, timeouts, restart recovery)
• Test against historical data with explicit assumptions
• Use a staged testing process (unit, integration, historical simulation, dry‑run monitoring, controlled live testing)
• Define explicit acceptance criteria for passing each stage

证据

A Polymarket trading bot can run without crashing and still make serious mistakes. It might submit duplicate orders, calculate the wrong position size, trade using stale prices, or assume an order was filled when it was not.

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Testing only whether the script starts successfully is not enough.

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Separate trading logic from order execution

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Simulate execution instead of sending real orders

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Use a staged testing process

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