Allegation: ex-Jane Street used stolen BTC data

A social thread alleges an ex-Jane Street quant used stolen bitcoin trading data inside agentic simulators like 'MiroFish' to model profitable scenarios—an unverified claim circulating in trading circles reported. The allegation, if true, raises questions about data provenance and model training safeguards at quant shops.

MiroFish is an open-source, multi‑agent “swarm intelligence” prediction engine published under the GitHub handle 666ghj and credited in press coverage to student developer Guo Hangjiang, with the project repo and live demo showing active commits and a trending spike in early March 2026. github.com The specific claim tying an ex‑Jane Street quant to “stolen BTC” training data first circulated in an X thread (status 2033097723964948895) and has been echoed across crypto discussion channels and fringe analytics threads since it appeared. x.com Public reporting and blockchain analysts contacted so far have not produced forensic proof linking MiroFish, its repo, or its developer to any leaked or exfiltrated exchange order‑book datasets, and several mainstream outlets characterize the allegation as unproven. coindesk.com The broader legal context driving heightened scrutiny is a federal complaint filed in February 2026 that names Jane Street and individuals including Robert Granieri, Bryce Pratt and Michael Huang in allegations tied to the 2022 Terra collapse. cointelegraph.com Separately, on‑chain trackers reported wallet movements totalling roughly 270 BTC (about $19 million) from addresses linked by some observers to Jane Street on March 6, 2026, a flow that media outlets flagged while cautioning against conflating transfers with illicit activity. coinalertnews.com Security researchers note GitHub and public code repositories have been abused historically to store or stage stolen data in supply‑chain incidents, but no audit trail has connected those common abuse patterns to the MiroFish repo in this case; the project’s public issue tracker shows intense community engagement (thousands of stars and open issues) rather than evidence of data exfiltration. reversinglabs.com

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