> For the complete documentation index, see [llms.txt](https://dopameme.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dopameme.gitbook.io/docs/signals/tracked-wallet-attention.md). # Tracked Wallet Attention Tracked-wallet attention is a core Dopameme signal. The system watches selected wallets and records when their behavior points toward a token. A single wallet can matter if quality is high, but clusters are stronger when multiple useful wallets appear around the same token. The goal is not to blindly trust every wallet. The goal is to build a record of behavior so the protocol can learn which wallets create useful early context, which wallets are noisy, and which wallets should be treated with caution. ## What Matters * Which wallet acted * How many tracked wallets acted * Whether the wallets are trusted, neutral, or risky * Whether the token passes market and pool checks * Whether attention persists across the 24H or 1W window Tracked-wallet attention is not a buy signal by itself. It is evidence. ## Wallet Trust Over Time Dopameme should evaluate wallets through history, not reputation alone. A wallet that appears early in useful setups should become more interesting. A wallet that repeatedly appears in low-quality, fast-failing tokens should become less useful. If a wallet is often present in crowded, flipper-heavy moves, that behavior should be treated differently from a wallet that consistently appears before cleaner continuation. This is why wallet behavior belongs in packets. The protocol needs memory to judge whether attention was meaningful after the fact. ## Single Wallet vs Cluster A single high-quality wallet can put a token on watch, especially if the token is already large enough to avoid the worst low-cap noise. A cluster is stronger because multiple tracked wallets are interacting with the same token. Even then, the token still needs market and quality checks before it belongs on the board. ## Attention Windows Dopameme uses attention windows such as 24H and 1W to separate fresh activity from broader accumulation. The 24H window is useful for recent attention. The 1W window is useful for persistence. A token that only flashes once may deserve monitoring, while a token that continues to attract useful wallets across a longer window can be more important. The board should make this easy to understand: what is active now, what has sustained attention, and where wallet behavior is strong enough to justify deeper research. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://dopameme.gitbook.io/docs/signals/tracked-wallet-attention.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.