Quant Full Stack

Complete A-share quantitative stock trading workflow covering data collection, factor analysis, strategy development, backtesting, simulated trading, and ris...

This skill is a wrapper that runs Python scripts from ~/quant_trading using ~/quant_trading/venv/bin/python3. Before using it, inspect the scripts in that directory and the virtualenv to ensure they are trustworthy (they will be executed and their stdout/stderr returned). The runner times out after 2 minutes per invocation. If you don't have the project path or virtualenv set up, the runner will fail. Although the skill requests no credentials, be cautious: outputs from executed scripts could include sensitive data, so audit the project for secrets or unintended network calls before running.

Type: OpenClaw Skill Name: quant-full-stack Version: 1.0.0 The skill bundle is a quantitative trading task orchestrator designed to manage a workflow involving data collection, factor engineering, and backtesting. The primary component, `runner.py`, acts as a dispatcher that executes specific local Python scripts within a predefined directory (`~/quant_trading`) using a virtual environment. The implementation follows security best practices by validating task identifiers against a hardcoded whitelist and using `subprocess.run` with argument lists to prevent shell injection. No evidence of malicious intent, data exfiltration, or prompt injection was found in the provided files.