القائمة
Route open-xquant factor evaluation tasks to cross-sectional or time-series workflows; use when users ask whether a factor predicts returns.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | evaluate-factor |
| description | Route open-xquant factor evaluation tasks to cross-sectional or time-series workflows; use when users ask whether a factor predicts returns. |
You decide which factor evaluation workflow to use.
Confirm:
Use agent/skills/evaluate-cross-sectional/SKILL.md when:
Use agent/skills/evaluate-time-series/SKILL.md when:
Rule of thumb:
Build factor values and forward returns with aligned indexes. Do not let same-day execution leak into forward returns. For formal reports, state the horizon, date alignment, and excluded rows.
Use when open-xquant artifacts must be checked for version/run/final traceability before comparison, report review, migration, or final selection.
Compile an open-xquant strategy spec preview and audit that material SPEC execution semantics are preserved in compiled_plan.json before backtests.
Audit strategy_idea_brief.json and the brainstorm conversation before strategy_spec.yaml construction begins.
Audit strategy_spec.yaml field provenance before backtests.
Author workspace-local OpenXQuant custom components from component_request.json, with tests, manifest hashing, catalog refresh, and no global SDK mutation.
Guide a user through the open-xquant pre-spec strategy idea workflow and produce strategy_idea_brief.json before any strategy_spec.yaml work begins.
