A professional analysis workbench for developers and quants.
Data-source agnostic by design.
J-Quants powers it today, but nothing above it knows that: the engine is source-agnostic. All data is stored as plain Parquet, an open format any engine reads — no vendor lock-in.
Market data reference — J-Quants, Japan Exchange Group.
Data orchestration, seamless end to end.
amx is a data-driven framework; one engine, many surfaces — the desktop, a notebook, an agent. The same data serves every level, a chart to read, a table to check, a dataframe for the data science, and all of it stays connected.
And the list is open at the bottom. A Jupyter kernel and Interactive Brokers are next, with more behind them: write it once, read it from anywhere that plugs in.
Every kind of analysis in one window.
Fundamentals, technicals, powerful screening and AI on top — all over the same data, and all in one place. Equities, index futures and options, margin balances, investor flows and filings included.
Analysis
in the era of AI.
A research analyst of your own, standing on the whole market history rather than a summary of it. Claude connects straight through amx's MCP endpoint — ask in plain language, and every figure it answers with carries the rows behind it.
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In active development — used daily against live JPX data.
Investment, collaboration or questions — feel free to reach out: admin@algoseed.com.