Whale Tracking Prompt
Interprets a large transfer correctly by classifying counterparties before concluding anything about buying or selling.
/ quick answer
Use whenever a whale alert fires and you need to know whether it means anything. Interprets a large transfer correctly by classifying counterparties before concluding anything about buying or selling.
A large on-chain transfer occurred. Determine what it actually means. Do not assume selling. EVENT Token + chain: [DATA] From / to addresses (with any known labels): [DATA] Size + USD value: [DATA] Sender's holdings and history summary: [DATA] Recent related transfers: [DATA] Answer: 1. Counterparty classification: exchange deposit, exchange withdrawal, bridge, contract interaction, or likely self-transfer — with reasoning. 2. Does this change the sender's actual exposure? Yes / No / Unclear, and why. 3. Three plausible explanations ranked by likelihood. 4. What additional on-chain evidence would distinguish between them. 5. Market relevance: none, minor, or material relative to the token's liquidity. State clearly when the data is insufficient. Do not produce a trading recommendation.
Classification: likely self-transfer — destination is a fresh address funded only by the sender, with no exchange interaction history. Exposure change: No. Ranked explanations: (1) custody reorganisation, (2) preparation for OTC, (3) collateral move. Distinguishing evidence: whether the destination subsequently interacts with an exchange deposit address. Market relevance: none at current liquidity.
/ frequently asked
What does the Whale Tracking Prompt prompt do?
Use whenever a whale alert fires and you need to know whether it means anything.
Which AI models work with this prompt?
It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.
How do I use this prompt?
1) Copy the prompt with the copy button. 2) Replace every bracketed variable with your real details. 3) Paste it into your AI assistant. 4) Compare the answer with the example output and ask for changes if needed.
What output should I expect?
Classification: likely self-transfer — destination is a fresh address funded only by the sender, with no exchange interaction history. Exposure change: No. Ranked explanations: (1) custody reorganisation, (2) preparation for OTC, (3) collateral move. Distinguishing evidence: whether the destination.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →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.
- →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.
- →Wallet Tracking
Wallet tracking is the practice of monitoring specific addresses and getting notified when they trade, transfer or interact with contracts.
- →Crypto Automation
Crypto automation is rule-based execution of monitoring, alerting and recurring on-chain actions, so decisions are made once and applied consistently.
Related workflows
Turn this into a repeatable process.
- →Track A Whale Wallet
Monitor a single large address correctly: separate real position changes from custody moves before drawing any conclusion.
- →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.
- →Smart Money Tracking Workflow
Build a curated wallet watchlist, monitor it for meaningful trades, and use alerts as research triggers rather than buy signals.
- →Build An On-chain Alert System
Assemble a monitoring pipeline that watches addresses, tokens and contracts and delivers deduplicated, contextual alerts.
Related tool stacks
The tools that run it in production.
- →Smart Money Stack
Wallet tracker, on-chain analytics, alert delivery and an AI layer that turns raw wallet events into researchable signals.
- →Crypto Automation Stack
Automation platform, data APIs, alerting and optional wallet execution — the operational layer for monitoring and recurring actions.
- →On-chain Research Stack
Explorer, indexer and analytics layers combined so wallet and token questions get answered with verifiable data.
Related prompts
Reusable prompts for this job.
- →Token Research Prompt
Structures a full token due-diligence pass: mechanics, liquidity, concentration, bear case and unverifiable claims flagged explicitly.
- →Wallet Analysis Prompt
Turns a transaction export into a behavioural profile: strategy type, timeframes, risk pattern and whether the wallet is worth watching.
- →Smart Money Analysis Prompt
Tests whether a group of 'smart money' wallets is genuinely informative or a survivorship-biased label.
- →Build An Alert Workflow Prompt
Designs a complete alerting pipeline — events, sources, thresholds, deduplication and delivery — from a plain description.
Related use cases
How people apply it, and what came out.
- →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.
- →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.
- →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.
- →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.
Comparisons & alternatives
Pick between the options.
- →On-chain Data vs Exchange Data
On-chain data shows verifiable wallet-level behaviour; exchange data shows aggregate price discovery. Serious research needs both.
- →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.