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Daily stock analyzer

Skill tangweigang-jpg/doramagic-skills/skills/daily-stock-analyzer

基于 Qlib 的 A 股自选股智能分析系统，集成 LLM Agent ReAct 推理引擎和技术指标择时模块（MA 多头排列、乖离率阈值严进策略），自动生成每日 buy/hold/sell 指令并推送至微信。触发场景：(1) 用户要查询自选股当天的 AI 交易信号和涨跌预测；(2) 用户要获取符合 MA 多头排列且乖离率低于 5% 的可买入股票列表；(3) 用户要在收盘后自动接收个股的买卖建议和持仓诊断报告。From its SKILL.md

Install

npx -y skills add tangweigang-jpg/doramagic-skills --skill daily-stock-analyzer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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What its file declares

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The file declares its own license as Proprietary. See LICENSE.txt in project root.. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

4.9 KB, as published. Nobody here has run it

daily-stock-analyzer

I help you build quant strategies on A-share with ZVT — from data fetch to backtest, one flow. Just tell me what you want; I'll write the code, you don't have to dig docs. (Heads up: ZVT natively supports A-share, HK, and crypto. US stocks — stockus_nasdaq_AAPL — are half-baked; don't bother for serious work.)

Pipeline

data_collection -> data_storage -> factor_computation -> target_selection -> trading_execution -> visualization

Top Use Cases (9 total)

A股自选股智能分析系统主调度 (`UC-101`)

协调各模块完成股票分析流程，实现低并发的线程池调度，全局异常处理确保单股失败不影响整体分析任务 Triggers: 股票分析, 调度, 线程池

RESTful API 后端服务 (`UC-102`)

提供RESTful API服务支持CORS跨域访问，同时托管前端静态文件用于生产环境部署 Triggers: API服务, 后端, FastAPI

LLM Agent ReAct执行循环 (`UC-103`)

提供LLM Agent的ReAct执行循环，支持可插拔的进度回调、消息历史和结果处理，实现工具调用与LLM推理的迭代执行 Triggers: LLM Agent, ReAct, 工具调用

For all 9 use cases, see references/USE_CASES.md.

Execute trigger: When user intent matches intent_router.uc_entries[].positive_terms AND user uses action verb (run/execute/跑/执行/backtest/fetch/collect)

What I'll Ask You

Target market: A-share (default), HK, or crypto? (US stocks in ZVT are half-baked — stockus_nasdaq_AAPL exists but coverage is thin)
Data source / provider: eastmoney (free, no account), joinquant (account+paid), baostock (free, good history), akshare, or qmt (broker)?
Strategy type: MACD golden-cross, MA crossover, volume breakout, fundamental screen, or custom factor?
Time range: start_timestamp and end_timestamp for backtest period
Target entity IDs: specific stocks (stock_sh_600000) or index components (SZ1000)?

Semantic Locks (Fatal)

ID	Rule	On Violation
`SL-01`	Execute sell orders before buy orders in every trading cycle	halt
`SL-02`	Trading signals MUST use next-bar execution (no look-ahead)	halt
`SL-03`	Entity IDs MUST follow format entity_type_exchange_code	halt
`SL-04`	DataFrame index MUST be MultiIndex (entity_id, timestamp)	halt
`SL-05`	TradingSignal MUST have EXACTLY ONE of: position_pct, order_money, order_amount	halt
`SL-06`	filter_result column semantics: True=BUY, False=SELL, None/NaN=NO ACTION	halt
`SL-07`	Transformer MUST run BEFORE Accumulator in factor pipeline	halt
`SL-08`	MACD parameters locked: fast=12, slow=26, signal=9	halt

Full lock definitions: references/LOCKS.md

Evidence Quality Notice

[QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-004. Evidence verify ratio = 52.9% and audit fail total = 25. Generated results may have uncaptured requirement gaps. Verify critical decisions against source files (LATEST.yaml / LATEST.jsonl).

Reference Files

File	Contents	When to Load
references/seed.yaml	V6+ 全量权威 (source-of-truth)	有行为/决策争议时必读
references/ANTI_PATTERNS.md	0 条跨项目反模式	开始实现前
references/WISDOM.md	跨项目精华借鉴	架构决策时
references/CONSTRAINTS.md	domain + fatal 约束	规则冲突时
references/USE_CASES.md	全量 KUC-* 业务场景	需要完整示例时
references/LOCKS.md	SL-* + preconditions + hints	生成回测/交易代码前
references/COMPONENTS.md	AST 组件地图（按 module 拆分）	查 API 时

Compiled by Doramagic crystal-compilation-v6.1 from finance-bp-004 blueprint at 2026-04-22T11:38:26.686045+00:00. See human_summary.md for non-technical overview.

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