Building a Reliable Stop-Loss System for an Automated Trading Bot

One of the most important parts of any automated trading bot isn't entering trades—it's managing risk after a position has been opened. A stop-loss system is only effective if it continuously monitors orders and reacts correctly to every stage of the order lifecycle.

In this article, I'll walk through the stop-loss architecture I've been implementing in Raven, my no-code framework for building automated prediction market strategies. If you prefer a video walkthrough, you can watch the full implementation here:

📺 Video:

Open Source Resources

If you're interested in learning more about automated prediction market trading, I've also open-sourced a trading bot that demonstrates many of the concepts discussed throughout these articles.

💻 GitHub Repository: https://github.com/nahuelvivas/Polymarket-Arbitrage-Trading-Bot

Feel free to explore the codebase, experiment with it, or use it as inspiration for your own trading systems.

Final Thoughts

Building a reliable stop-loss system involves far more than triggering a sell order once losses reach a predefined percentage.

It requires continuously tracking the order lifecycle, monitoring position state, responding to exchange events, and handling failed executions gracefully.

By separating responsibilities between a Pending Order Tracker, Position Tracker, Position Monitor, and a dedicated execution layer, Raven provides a resilient architecture designed for the realities of live prediction markets.

As development continues, the framework will become increasingly flexible, allowing traders to configure execution behaviour, risk management, and strategy logic without writing code.