Tqsdk策略量化

提供基于 TqSdk 的量化策略开发、回测和优化，涵盖趋势、套利、多因子等61种成熟策略模板。

What to consider before installing/using this skill: - Functionality: The bundle is indeed a large offline collection of TqSdk Python strategies — that's coherent with its description. - Credentials: Several strategy files include TqAuth("YOUR_ACCOUNT","YOUR_PASSWORD"). If you plan to run strategies against a real broker, you will need to provide account credentials — the skill metadata does not declare or scope these, which is a red flag. Do NOT paste real credentials into example files; prefer running with TqSim (simulation) first. - Prompt-injection: SKILL.md contained unicode-control characters flagged by a scanner. Inspect SKILL.md for hidden characters or unexpected instructions before trusting automated agents to follow it. - Code quality: Many scripts are educational but some reference undefined variables (e.g., volume_long, volume_short, position) and have other rough edges. Expect to review and possibly fix code before running. Treat the repository as code samples, not production-ready bots. - Safety steps before running: (1) Review all files locally; (2) Run only with a simulated account (TqSim) until you audit behavior; (3) Never supply real broker credentials to the skill/agent without manual verification of the exact code that will execute; (4) Add required environment variables explicitly and avoid leaving credentials in plaintext in files; (5) Remove or investigate any hidden/unicode-control characters in SKILL.md. If you want, I can: (A) scan the repository for occurrences of TqAuth/TqAccount usage and list files that would require credentials; (B) point out specific files with undefined variables or logic bugs to fix before running in real trading.