How to detect abnormal trading activities in prediction markets? Honestly, many people haven't realized the opportunities in this area yet.

The basic idea is quite clear: the API interfaces of prediction markets are open to everyone, and the data is completely transparent. With AI programming tools so advanced nowadays, instead of waiting to see others' analyses, it's better to build your own monitoring system. It's not that difficult.

To catch suspicious trading behaviors, you can focus on these key signals:

**Wallet Age Too New** — Accounts that start trading within 24 hours of registration are worth paying attention to. These wallets are usually temporary.

**Very Low Engagement** — Participated in fewer than 3 markets. Focusing on one or two markets makes the purpose more obvious compared to wallets with broad layouts.

**Single Transaction Volume** — This is a critical indicator. Abnormal fluctuations in transaction size often reveal intent, especially large orders that appear suddenly before price movements.

By connecting these dimensions for analysis, the profile of suspicious wallets will gradually become clear. Tools are static; the ideas are what keep them alive.