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Workflow

Smart Money Tracking Workflow

Build a curated wallet watchlist, monitor it for meaningful trades, and use alerts as research triggers rather than buy signals.

2 min readupdated 2026-09-02

/ quick answer

Discover candidate wallets from verifiable history, label them, filter aggressively, and route only material events to an alert channel where you decide manually. Build a curated wallet watchlist, monitor it for meaningful trades, and use alerts as research triggers rather than buy signals.

Build a curated wallet watchlist, monitor it for meaningful trades, and use alerts as research triggers rather than buy signals. The problem it solves: Copying 'smart money' feeds produces constant noise: bot wallets, internal transfers and dust, with no way to tell a conviction buy from a rebalance. Discover candidate wallets from verifiable history, label them, filter aggressively, and route only material events to an alert channel where you decide manually. It runs in 7 steps, starting with wallet discovery: from analytics leaderboards, early buyers of tokens that later performed, and addresses referenced in credible research. This workflow node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Problem
Copying 'smart money' feeds produces constant noise: bot wallets, internal transfers and dust, with no way to tell a conviction buy from a rebalance.
Solution
Discover candidate wallets from verifiable history, label them, filter aggressively, and route only material events to an alert channel where you decide manually.
Steps
  1. 01Wallet discovery: from analytics leaderboards, early buyers of tokens that later performed, and addresses referenced in credible research.
  2. 02Verify history per wallet: realised PnL across at least two market phases, number of positions, whether wins were concentrated in one lucky trade.
  3. 03Label and exclude: drop exchange, bridge, market-maker and contract addresses — they aggregate other people's flow.
  4. 04Set filters: minimum trade size, minimum token liquidity, exclude known spam tokens and internal transfers between the wallet's own addresses.
  5. 05Configure monitoring so alerts land in one channel with token, size, entry price and the wallet's label.
  6. 06On alert, run the AI token research workflow before doing anything — treat the alert as a prompt to research.
  7. 07Review the watchlist monthly: remove wallets that went quiet or turned unprofitable.
Tools Used
Prompts Used
Related Dictionary
/ frequently asked

What does the Smart Money Tracking Workflow workflow do?

Discover candidate wallets from verifiable history, label them, filter aggressively, and route only material events to an alert channel where you decide manually.

What problem does Smart Money Tracking Workflow solve?

Copying 'smart money' feeds produces constant noise: bot wallets, internal transfers and dust, with no way to tell a conviction buy from a rebalance.

How many steps does Smart Money Tracking Workflow take?

7 steps. It starts with wallet discovery: from analytics leaderboards, early buyers of tokens that later performed, and addresses referenced in credible research. and ends with review the watchlist monthly: remove wallets that went quiet or turned unprofitable..

Which tools does Smart Money Tracking Workflow need?

It uses smart-money-stack — each linked below with its own node.

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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.

  • Wallet Tracking

    Wallet tracking is the practice of monitoring specific addresses and getting notified when they trade, transfer or interact with contracts.

  • 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.

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Related workflows

Turn this into a repeatable process.

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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.

all tool stacks

Related prompts

Reusable prompts for this job.

  • 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.

  • Wallet Monitoring Agent Prompt

    System prompt for a read-only agent that watches addresses, filters noise and reports only decision-relevant activity.

  • Whale Tracking Prompt

    Interprets a large transfer correctly by classifying counterparties before concluding anything about buying or selling.

all prompts

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.

  • 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.

  • Copy A Wallet

    Adding filters and a hard per-trade cap turned an unprofitable copy setup into a break-even one — and revealed the edge was not transferable.

  • 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.

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Comparisons & alternatives

Pick between the options.

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