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Adds AxonX to Tools and Platforms → Research Environments. Its differentiator is a shared task runtime for human researchers and AI agents, with reproducible artifact references and inspectable execution lineage across CLI, MCP, and Studio.
Affiliation: submitted on behalf of the AxonX project owner/maintainer, with their authorization; this is a self-submission prepared using GitHub CLI and an AI assistant.
AxonX is an Apache-2.0 Python quantitative research harness with plugin-based tasks, tracked execution, artifacts, and task lineage. The public Alpha158 plugin implements data processing, factor analysis, LightGBM training, prediction, and TopN backtesting.
Evidence: README and quick demo, task runtime, and MCP configuration.
The repository is early-stage (created September 4, 2026; v0.1.0 released October 4, 2026). No claims of established external adoption or investment performance are made. The Alpha158 market-data download requires a Tushare token.
Searched the destination README and open/closed PRs for AxonX; no duplicates found.
I recognize the contribution guidance generally excludes new, low-star repositories without external validation. This submission is offered for review based on its open-source implementation and research-workflow infrastructure; its age and lack of established adoption are disclosed above.
Validation: one factual description in the existing section, ending in a period; whitespace checked.