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。

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Install skill "daily-stock-analyzer" with this command: npx skills add tangweigang-jpg/daily-stock-analyzer

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)

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

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

FileContentsWhen to Load
references/seed.yamlV6+ 全量权威 (source-of-truth)有行为/决策争议时必读
references/ANTI_PATTERNS.md0 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.mddomain + 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.mdSL-* + preconditions + hints生成回测/交易代码前
references/COMPONENTS.mdAST 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.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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