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

Описание и применение

Пошаговый план тестирования торгового бота Polymarket на Python: разделение логики и исполнения, детальные проверки риска, симуляция ордеров, тестирование отказов, историческая симуляция и поэтапный переход к живому исполнению.

Задача

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.

Результат

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

Рабочий процесс

• 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

Доказательства

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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