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uwillberich

Build next-session A-share game plans from market structure, overnight macro shocks, policy timing, and watchlist leadership. Use when the user asks what A-s...
根据市场结构、夜间宏观冲击、政策时机与关注榜领头股,为下一交易日制定A股游戏计划。在用户询问A股计划时使用。
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未分类 clawhub v1.0.1 1 版本 100000 Key: 需要
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#a-share#china#finance#latest#markets

概述

uwillberich

Author: 超超

Contact: grdomai43881@gmail.com

Overview

Use this skill for decision-oriented A-share analysis. The goal is not to explain the market mechanically, but to convert today’s tape and overnight developments into a concrete next-session plan.

Best fit:

  • next-session A-share outlook
  • likely repair sectors after a selloff
  • opening checklist for 09:00, 09:25, and 09:30-10:00
  • first-30-minute observation template for distinguishing true repair from defensive concentration
  • watchlist-based decision notes
  • distinguishing defensive leadership from true market repair
  • persistent message iteration that maps high-attention news into watchlist overlays
  • automatic event-driven stock pools that feed directly into desk reports
  • main-force capital-flow confirmation for watchlists and market-wide risk tone
  • industry-chain expansion that turns event themes into fresh stock pools
  • sentiment scoring built from breadth, sector dispersion, and capital flow

Core Workflow

  1. Gather market structure first.
    • Confirm EM_API_KEY is configured before running any script.
    • Run scripts/fetch_market_snapshot.py for indices, breadth, and sector leaders/laggards.
    • Run scripts/fetch_quotes.py or scripts/morning_brief.py for the watchlist.
  2. Confirm the overnight and policy layer.
    • Use primary sources first for PBOC, Federal Reserve, and other central-bank decisions.
    • Use high-quality news sources for geopolitics, oil, and global risk sentiment.
  3. Classify the market through three layers.
    • External shock: oil, rates, U.S. equities, geopolitics
    • Domestic policy/liquidity: LPR, PBOC posture, macro support
    • Internal structure: breadth, leadership, relative strength, style rotation
  4. Build a scenario tree.
    • Provide Base / Bull / Bear paths with explicit triggers and invalidations.
  5. Turn the view into an execution checklist.
    • Include 09:00, 09:20-09:25, 09:30-10:00, and 14:00-14:30.

Workflow Shortcuts

  • Step 1: overnight and policy
  • scripts/mx_toolkit.py preset --name preopen_policy
  • scripts/mx_toolkit.py preset --name preopen_global_risk
  • Step 2: board resonance
  • scripts/fetch_market_snapshot.py
  • scripts/capital_flow.py
  • scripts/market_sentiment.py
  • scripts/mx_toolkit.py preset --name board_optical_module
  • scripts/mx_toolkit.py preset --name board_compute_power
  • Step 3: single-name validation
  • scripts/fetch_quotes.py
  • scripts/mx_toolkit.py preset --name validate_inspur
  • scripts/mx_toolkit.py preset --name validate_luxshare
  • Step 4: event-to-chain expansion
  • scripts/industry_chain.py
  • scripts/news_iterator.py
  • Source benchmark
  • scripts/benchmark_sources.py

Decision Heuristics

  • Prefer sectors that resisted best in a weak tape over sectors that merely fell the most.
  • Treat defensive leadership as separate from broad market repair.
  • On monthly LPR days, use the 09:00 release as a hard branch in the plan.
  • A repair thesis is stronger when leadership broadens from core growth names into secondary names and brokers.
  • A rebound without breadth is usually just a technical bounce.

Scripts

Use these scripts before writing the decision note:

  • scripts/fetch_market_snapshot.py
  • Pulls Eastmoney index and sector breadth data.
  • scripts/fetch_quotes.py
  • Pulls Tencent quote snapshots for user-specified names.
  • scripts/morning_brief.py
  • Builds a markdown brief from the default watchlists in assets/default_watchlists.json.
  • scripts/capital_flow.py
  • Pulls the whole-market main-force snapshot plus top inflow/outflow names and intersects them with watchlists.
  • scripts/market_sentiment.py
  • Scores the tape as 抱团行情, 科技修复, 修复扩散, or 分化偏弱 using breadth, sector dispersion, and capital flow.
  • scripts/opening_window_checklist.py
  • Builds a first-30-minute observation sheet with time gates, group scoreboards, and watchlist signal tables.
  • scripts/industry_chain.py
  • Uses event summaries and desk groups to expand into industry-chain stock pools through live MX stock screens.
  • scripts/news_iterator.py
  • Continuously polls public RSS feeds, classifies high-attention events, maps them into watchlist overlays, and writes dynamic event-driven stock pools.
  • scripts/runtime_config.py
  • Loads local runtime credentials, enforces the required EM_API_KEY, and prints the Eastmoney application URL when it is missing.
  • scripts/mx_toolkit.py
  • Calls the live Meixiang / Eastmoney APIs for news search, stock screening, structured data queries, and preset desk workflows.
  • scripts/benchmark_sources.py
  • Benchmarks public and MX-enhanced sources before you decide what to trust as the primary feed.
  • scripts/install_news_iterator_launchd.py
  • Installs the news iterator as a launchd job on macOS for long-running local polling.
  • scripts/smoke_test.py
  • Verifies that the bundled scripts and public endpoints are working.

References

Read only what you need:

  • references/methodology.md
  • Trading philosophy, decision tree, and timing gates.
  • references/data-sources.md
  • Source map for official and market data endpoints.
  • references/persona-prompt.md
  • Decision-maker persona for desk-style answers.
  • references/trading-mode-prompt.md
  • Time-boxed opening workflow for the next A-share session.
  • references/opening-window-template.md
  • A reusable first-30-minute decision template.
  • references/cross-cycle-watchlist.md
  • How to use the cross-cycle core stock pool without turning it into an unfocused mega-list.
  • references/event-regime-watchlists.md
  • How to use war-shock and energy-spike watchlists as temporary overlays.
  • references/message-iterator.md
  • How to run the persistent RSS iterator, generate event-driven stock pools, and feed them into the desk workflow.
  • assets/mx_presets.json
  • Preset MX workflows for policy scan, global-risk scan, board resonance, and single-name validation.
  • assets/industry_chains.json
  • Theme-to-chain map for optical module, compute power, semiconductors, robotics, oil and coal, and IDC/power-cost overlays.

Output Standard

Default to a compact desk-style answer:

  • one-paragraph decision summary
  • Base / Bull / Bear path
  • most likely repair sectors
  • defensive-only sectors
  • opening checklist
  • do / avoid

Required Credential

  • EM_API_KEY is mandatory for this skill.
  • Apply here: https://ai.eastmoney.com/mxClaw
  • After opening the link, click download and you will see the key.
  • Official site: https://ai.eastmoney.com/nlink/
  • Store it in ~/.uwillberich/runtime.env

版本历史

共 1 个版本

  • v1.0.1 当前
    2026-05-07 07:29 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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