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Open-Source FOMO Radar Uses GPT-6 Astra to Analyze 374 Wallets and 116,420 Memecoin Fills

September 12, 2026 at 04:45 EDT

Foundation Models
AI Agents
Open Source

An open-source FOMO Radar project has assembled a GPT-6 Astra-assisted system covering 374 Robinhood Chain wallets, 116,420 fills, and 5,918 tokens. It combines wallet resolution, on-chain monitoring, transaction provenance checks, and AI-based trader scoring in one workflow.

September 2026 · FOMO Radar

374 wallets, one AI-scored radar

An open-source system combines wallet resolution, on-chain fills, provenance checks, and GPT-6 Astra scoring to analyze memecoin activity.

The dataset at a glance

374

wallets analyzed

116,420

fills recorded

5,918

tokens covered

Why provenance changes the picture

One in eleven credited buys was not the wallet’s own trade.

10 of 11

accepted fills

1 of 11

misattributed

From raw activity to a scored signal

Resolve the wallet

→

Read the chain

→

Verify provenance

→

Score the trader

Builder value

Inspectable MIT-licensed code, a live interface, and a no-key path for Robinhood tracking make the stack easy to examine and fork.

Trading caveat

Headline PnL can include open positions, and the available materials do not establish an audited live-money performance record.

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