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Risk & Safety·June 6, 2026·8 min read

Spotting bot wallets and automated trading accounts

Risk & Safetyvideo © RDNE Stock project
Screen for bots

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.

[Run the bot screen →](/analyze)

put it into practice
Analyze a real wallet

Bots trade differently from humans — unnaturally even timing, no sleep, mechanical sizing. Here is how on-chain patterns expose automated wallets.

Run a free analysis →
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