Find Smart Money Activity
A research group verified 40 leaderboard wallets and kept only 11, turning a noisy signal source into a usable research queue.
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A small research group pulled 40 'smart money' wallets from analytics leaderboards and tried to follow all of them, drowning in activity with no way to judge which wallets were actually skilled. A research group verified 40 leaderboard wallets and kept only 11, turning a noisy signal source into a usable research queue.
What is the Find Smart Money Activity use case?
A small research group pulled 40 'smart money' wallets from analytics leaderboards and tried to follow all of them, drowning in activity with no way to judge which wallets were actually skilled.
What was the outcome?
29 of the 40 wallets showed profit concentrated in one or two positions, or patterns consistent with launch access — both non-replicable. The remaining 11 produced roughly 8 researchable events per week instead of 200+, and every event now arrives with liquidity context attached.
Which tools were used?
Nansen — wallet PnL and labels, Dune — custom concentration queries per wallet, Claude — behavioural profiling from normalised transaction exports, Make — filtered alerts to a shared channel.
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Related concepts
The vocabulary this page depends on.
- →Smart Money
Smart money is a label for wallets with a documented history of profitable, early positioning — a research filter, not a signal to copy blindly.
- →On-chain Data
On-chain data is the public record of every transaction, balance and contract call — the raw material for wallet tracking and market research.
- →Whale Wallet
A whale wallet holds a position large enough that its trades move price or signal intent — which makes it worth watching and easy to misread.
- →Wallet Tracking
Wallet tracking is the practice of monitoring specific addresses and getting notified when they trade, transfer or interact with contracts.
Related workflows
Turn this into a repeatable process.
- →Smart Money Tracking Workflow
Build a curated wallet watchlist, monitor it for meaningful trades, and use alerts as research triggers rather than buy signals.
- →Analyze A Wallet With AI
Turn a raw transaction history into a readable profile: strategy, holding periods, risk behaviour and realised performance.
- →AI Crypto Research Workflow
A repeatable research loop: turn a question into market data, on-chain evidence and a written risk view before any position is considered.
- →AI Token Research Workflow
Screen a token in under 30 minutes: contract facts, liquidity structure, holder concentration and a written risk verdict.
Related tool stacks
The tools that run it in production.
- →On-chain Research Stack
Explorer, indexer and analytics layers combined so wallet and token questions get answered with verifiable data.
- →Smart Money Stack
Wallet tracker, on-chain analytics, alert delivery and an AI layer that turns raw wallet events into researchable signals.
- →AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
Related prompts
Reusable prompts for this job.
- →Smart Money Analysis Prompt
Tests whether a group of 'smart money' wallets is genuinely informative or a survivorship-biased label.
- →Wallet Analysis Prompt
Turns a transaction export into a behavioural profile: strategy type, timeframes, risk pattern and whether the wallet is worth watching.
- →Token Research Prompt
Structures a full token due-diligence pass: mechanics, liquidity, concentration, bear case and unverifiable claims flagged explicitly.
- →Whale Tracking Prompt
Interprets a large transfer correctly by classifying counterparties before concluding anything about buying or selling.
Related use cases
How people apply it, and what came out.
- →Research A Token With AI
A structured AI research pass cut token screening from three hours to 35 minutes and produced documented passes instead of impulse entries.
- →Create An On-chain Alert System
A purpose-built alert pipeline with enrichment and deduplication achieved a 30% action rate, versus near-zero for off-the-shelf feeds.
- →Track A Whale Wallet
A trader replaced noisy whale alerts with a labelled watchlist and counterparty classification, cutting alerts by 94% while keeping the useful ones.
- →Analyze Wallets With AI
AI profiling of 60 candidate wallets cut a week of manual review to an afternoon and identified 4 worth monitoring.
Comparisons & alternatives
Pick between the options.
- →Smart Money vs Technical Analysis
Smart money tracking reads who is positioning; technical analysis reads how price behaves. They answer different questions and fail differently.
- →On-chain Data vs Exchange Data
On-chain data shows verifiable wallet-level behaviour; exchange data shows aggregate price discovery. Serious research needs both.
- →AI Research vs Traditional Research
AI research compresses breadth and drafting; traditional research supplies verification and accountability for the claims you act on.