Argona7/stampede

STAMPEDE — read-only explorer of observed wallet rotations on Robinhood Chain. Official CA: 0xfe627506ca7c9ab80d8551c4e72bb4dca1b8ed64

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README & documentation

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Website See what wallets sold before they bought the next coin. STAMPEDE is a read-only explorer of observed wallet rotations on supported Robinhood Chain venues (PONS v2 bonding curves and the Uniswap v4 pools their coins graduate into). A rotation is one address that sold coin A and, inside a chosen window, bought coin B. The tool shows those sequences as a live feed, a ranked board, a flow diagram and a spatial map — always with the addresses, timestamps and transaction hashes behind every number. It does not claim that the sale funded the purchase, that addresses share an owner, or that anything will happen next. Start here — step-by-step setup — from an empty Terminal to your first observed sell → buy sequence and its transactions, on the recorded sample, with no API keys. Quickstart · Watch demo · How it works · Data & limits Recorded replay…

Argona7/stampede on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-30T20:43:05.247Z

Inside the original README — Document outline
  1. Watch demo
  2. Quickstart
  3. Four views, one dataset
  4. From an event to evidence
  5. How it works
  6. Data & limits
  7. Development

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What this repository does

STAMPEDE — read-only explorer of observed wallet rotations on Robinhood Chain. Official CA: 0xfe627506ca7c9ab80d8551c4e72bb4dca1b8ed64

Repository facts

Owner
Argona7
Primary language
Python
Stars
151
Forks
28
Open issues + pull requests
2
License
Not reported — inspect the license file
Archived
No
Default branch
main
Created
2026-09-11T16:23:28.000Z
Last push
2026-09-13T09:00:18.000Z

Topics and intended use

Owner-supplied topics: fastapi, memecoin, on-chain-analysis, pons, python, robinhood-chain, textual, threejs, typescript, wallet-rotations

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Source: GitHub. Metadata observed 2026-09-18T06:40:01.475Z. Daily imports are snapshots, not real-time monitoring.

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