OpenAgentSkill Registry Manifest
Skill: Stock Feature Engineering
Slug: hjeffreywang-stock-feature-engineering
Category: finance
Description: Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. Generated features from indicators, statistics, and recent factors. Used multi-disciplined analysis to find feature importance. Attached labels of trends and stop/hold positions for machine learning. Used machine learning to significant features.

Agent fit:
- Decision: 30/100 Needs manual review
- Primary fit: Finance and quant
- Role: Needs validation

Supply profile:
- Track: Finance and quant workflows
- Scenario: Finance and quant
- Applicable agents: Claude Code, CLI, Codex, Cursor, Jupyter Notebook
- Maintenance: 6y since push
- Risk: Risky

Trust:
- Trust score: 67/100 Manual review
- Audit: 58/100 Risky

Attribution:
- Status: Community indexed
- Source: GitHub star discovery
- Creator: hjeffreywang
- Claim URL: https://www.openagentskill.com/skills/hjeffreywang-stock-feature-engineering#claim-this-skill

Install:
npx skills add hjeffreywang/Stock_feature_engineering

URLs:
- Web: https://www.openagentskill.com/skills/hjeffreywang-stock-feature-engineering
- API: https://www.openagentskill.com/api/agent/skills/hjeffreywang-stock-feature-engineering
- Install API: https://www.openagentskill.com/api/skills/hjeffreywang-stock-feature-engineering/install
- Repository: https://github.com/hjeffreywang/Stock_feature_engineering