Spotting bot wallets and automated trading accounts
Humans sleep. They hesitate. They round numbers emotionally. Bots do none of that, and the behavioral difference is visible on-chain.
The bot signatures
- Unnaturally even timing: transactions at perfect intervals, or mechanically clustered in tight bursts that no human rhythm produces.
- Zero inactivity: activity across all hours, 24/7, including 3am weekdays and major holidays.
- Mechanical sizing: identical or exactly-scaled amounts repeating in loops.
- No social behavior: interacting exclusively with a narrow set of contracts, never "window shopping" like a human.
- Self or ring trading: moving volume against itself or a small closed counterparty set.
How it is measured
The activity rhythm family is where bots stand out most. A normalized activity distribution over 24 hours, if a wallet trades as much at 4am as at 2pm, for weeks, that is automation evidence. Paired with mechanical sizing patterns, the probability becomes high.
Why it matters to you
- Airdrops & sybils: airdrop farming relies on manufactured wallets. Bot-likeness is a standard eligibility gate.
- Dilution: wash-trading bots inflate volume and distort charts.
- Counterparty risk: if you interact with an address that is a bot, your expected counterparty behavior is very different from a human trader's.
Confidence, not certainty
SIGBOT reports bot-likelihood as a scored signal with visible supporting metrics, not a verdict. A highly active but pattern-free wallet is not a bot, the report says so.