Step 01
High-Noise Input
GitHub Firehose
The raw source layer contains everything: documentation churn, dependency noise, UI edits, release prep, and real protocol engineering. Raw commit volume alone is analytically unreliable.
Quantmetric Terminal
Research Logic
Signal Engine Methodology
The terminal is intentionally conservative. It is designed to strip repository theater and surface only the protocol-critical engineering layer that matters for serious market work.
Step 02
Heavy Filtration
Strip docs / UI
Quantmetric aggressively removes README edits, front-end work, peripheral file churn, and cosmetic repository motion. The goal is not activity counting. The goal is evidence compression.
Step 03
Core Extraction
Consensus & Protocol Logic Only
The engine isolates code paths tied to execution, networking, consensus, state transition, and protocol-critical modules. Only that filtered layer is promoted into signal generation and replayable alpha studies.