The useful trading bot is often the boring one

The most interesting bot might spend most of its day doing nothing.

It watches one type of contract, rejects messy inputs, records a few quotes, and sends an alert when a specific condition appears. That sounds less exciting than an agent that trades everything. It is also much easier to evaluate.

Give it one repeatable job

An AI can turn a market description into a structured checklist. A separate script can collect quotes. Another component can calculate a proposed order. Each stage should have a clear input and output.

Mix those jobs into one free-form prompt and a failure becomes difficult to diagnose. Did the model misunderstand the event? Did the quote become stale? Did the order partially fill?

Build an abstain button

A useful system should decline when the source is missing, two fields disagree, or its price estimate is too uncertain. Requiring it to trade every hour turns inactivity into a bug, even when inactivity is the right response.

Log every rejection as well as every trade. Otherwise you cannot tell whether the bot is selective or simply broken.

Start with paper execution and compare it with quotes that were actually available. Then account for latency, fees, and incomplete orders. A simulated fill is an assumption that needs testing.

Automation earns its place by repeating a sound process. A large number of actions is not evidence that the process is sound.

Further reading: Prices and order books · Resolution rules · Current fees.

Explore the markets: Open Polymarket (referral link).