Ptrade Skills

提供三种高级量化策略，包含小市值选股、8因子打分+ATR止损和热点行业轮动移动止损，支持实盘部署。

This skill contains three coherent trading strategies and uses a 'ptrade' API to fetch market data and place orders. Before installing or running it: 1) Confirm how the 'ptrade' SDK/agent runtime is configured — the skill metadata lists no API keys or env vars, but the code will need brokerage/data credentials and endpoint configuration; ask the author what credentials are required and where they are stored. 2) Do not run against real trading credentials until you test thoroughly in a sandbox/paper environment; these strategies will place orders. 3) The code requests bulk market data (all symbols from get_trade_calendar then get_price for many securities) — ensure you have API quota and that such large requests are intentional. 4) Review and test edge cases: the code swallows many exceptions (which can hide failures), mixes datetime.now and context.now (possible timing/backtest inconsistencies), and one source file in the provided manifest was truncated in the package review — request the complete files. 5) If you intend to deploy live, ask for explicit documentation of required runtime configuration (credentials, SDK version, rate limits) and run a dry-run/paper backtest first.

Type: OpenClaw Skill Name: ptrade-skills Version: 1.0.0 The skill bundle contains three quantitative trading strategies (Small Cap, Momentum, and Sector Rotation) designed for the PTrade platform. The Python scripts (ptrade_c31_momentum.py, ptrade_sector_rotation.py, and ptrade_smallcap_final.py) implement standard trading logic using the platform's API, including risk management features like ATR-based stop losses and market-wide 'Black Swan' protections. No evidence of data exfiltration, malicious execution, or prompt injection was found.