AI quantitative research framework: AI Agent-driven strategy backtesting, factor research, robustness testing, audit reports, and live trading | Agentic Quant Research Kernel
This repository also configures its own agents. See what open-xquant tells them →
Skill Claude CodeCodex
Use when an open-xquant research conversation starts, resumes, or changes strategy meaning and the Agent must decide whether to continue a phase, create a new strategy version, or append a run.
Skill Claude CodeCodex
Audit, monitor, and record open-xquant strategy runs; use after backtests to run reproducibility checks, research bias checks, robustness, reports, and experiment logs.
Skill Codex
Use when the user asks for any open-xquant or quantitative research task, including strategy design, backtesting, factor evaluation, parameter tuning, audit, robustness, reports, chart assets, SDK/component development, broker/live trading, workspace setup, Agent installation, or when deciding which open-xquant skill…
Skill Claude CodeCodex
Render open-xquant run charts and indicator overlays; use when users ask to visualize price, indicators, signals, or chart artifacts.
Skill Claude CodeCodex
Review open-xquant backtest performance, audit findings, reports, and experiment comparisons; use when users ask whether a strategy worked or how to interpret results.
Skill Claude CodeCodex
Use when reviewing a completed open-xquant research report for decision consistency, artifact fidelity, audit/robustness interpretation, chart narrative quality, and semantic issues that deterministic report QA should not judge.
Skill Claude CodeCodex
Run an authorized open-xquant backtest from gated artifacts without editing strategy specs, audits, runtime audits, or reports.
Skill Claude CodeCodex
Screen symbols with open-xquant price, financial, and custom factors; use when users ask for value, quality, momentum, or multi-factor candidate lists.
Skill Claude CodeCodex
Use when a user asks to choose, confirm, promote, or mark a final open-xquant strategy version after audited runs, reports, and comparisons exist.
Skill Claude CodeCodex
Tune open-xquant strategy parameters with grid search, walk-forward validation, time-series CV, and overfitting checks; use when users ask to optimize parameters.
Skill Claude CodeCodex
Use when writing the final human-readable open-xquant experiment report from generated evidence, audit results, metrics, robustness output, and registered chart assets.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: