A Stock Paper Trade

Things to consider before installing/using this skill: - The script requires Python packages (requests and akshare) that are not declared or installed automatically. Install them in an isolated virtualenv before running (pip install requests akshare). The SKILL.md's example activates a virtualenv (~/.agent-reach-venv) but the skill does not create it. - There is a clear inconsistency: SKILL.md says initializing with 1,000,000 virtual funds, while the script sets INITIAL_CASH = 50,000. Expect the code value (50k) unless you inspect and change it. - The provided file contents appear truncated and there is evidence of a coding error near the sell/profit logic (an undefined/partial variable). Review the full script for correctness before trusting financial calculations and backups. - The tool stores portfolio data at ~/.openclaw/paper-trade/portfolio.json. Backup that file if it already exists and review file permissions. - The script fetches market data from public endpoints (hq.sinajs.cn and akshare). These are expected for this skill; they are network calls to third-party servers. If you require strict privacy, evaluate network access policies. - Recommended steps: inspect the full scripts locally, run them in a freshly created isolated virtualenv, install required packages, run python3 scripts/trader.py init to confirm behavior, and test buy/sell flows with small synthetic operations to confirm calculations and that no runtime exceptions occur. If you are not comfortable reviewing Python code, avoid installing until the owner/publisher provides a documented install step and fixes the code inconsistencies.