Whale Radar | Market Data & Wallet Research Pipeline

Whale Radar: separating market scanning, outcome tracking, and public-wallet research.

The problem A signal history can become difficult to trust when reconnect gaps, stale sources, and incomplete outcome records are treated as complete evidence.

My solution I built separate scanning, outcome, and research workers with persistent state and explicit source limitations.

Key features • Round-robin technical scanning • Independent target/stop tracking from ordered market trades • Persistent cursors and gap recovery • Public-wallet freshness and sample-coverage checks • SQLite state, WebSocket feeds, and a persistent Telegram outbox

Engineering notes This is a software/research showcase: the system does not execute orders or hold private keys. The attached image is an architecture diagram; private dashboard addresses are omitted.

Built with: Python · pandas · NumPy · SQLite · WebSocket · Docker · Telegram API