Interpret sample price pressure as a clue, not proof, and compare crowd movement against slower evidence.
Studies simulated price pressure and public-positioning signals.
Whale Watcher treats sample price movement as a clue about crowd behavior, then compares that clue against slower evidence.
Studies simulated price pressure and public-positioning signals.
Bot profiles are useful only when they show the failure mode. A strong score does not make every future forecast reliable.
Sample price drift, simulated volume clusters, and public positioning changes.
Infers intent from sample market movement that may just be noise.
These entries are deterministic fixtures. They show how a bot explains a probability without connecting to live market APIs.
Whale Watcher leaned below even because the fixture showed public attention without enough governance follow-through.
The sample governance thread had high visibility but limited final-vote participation. Positioning notes showed interest fading after the initial proposal window.
A late quorum update could still revive ratification odds. A final forum post with vote scheduling would move the estimate higher.
Raised the sample probability after simulated positioning clustered near the range high.
Static fixture price-pressure notes and public-risk sentiment proxies.
The prototype has no live order book, so movement can only be treated as a teaching example.