B1AAB/EBA

An ML-first temporal graph of Bitcoin's on-chain fund flows.

45
/ 100
Emerging

This project creates a comprehensive, machine learning-ready graph of all Bitcoin transactions directly from the blockchain's history. It takes raw Bitcoin network data and transforms it into a detailed graph where Bitcoin addresses are nodes and transactions are time-stamped edges, showing how funds flow. Traders, financial analysts, and blockchain researchers can use this to explore economic behavior, analyze trading patterns, and identify suspicious activities within the cryptocurrency ecosystem.

Use this if you need a structured, historical dataset of Bitcoin's on-chain fund flows specifically designed for advanced analytics and machine learning applications like Graph Neural Networks.

Not ideal if you only need real-time transaction monitoring or basic wallet balance lookups, as this tool is built for deep historical analysis and complex data modeling.

cryptocurrency-analytics blockchain-research financial-crime-detection market-dynamics economic-modeling
No Package No Dependents
Maintenance 13 / 25
Adoption 4 / 25
Maturity 15 / 25
Community 13 / 25

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Stars

7

Forks

2

Language

C#

License

GPL-3.0

Last pushed

Mar 14, 2026

Commits (30d)

0

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