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wyckoff-a-share威科夫股份

Agent Skill

wyckoff-a-share 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

7,638

周安装

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GitHub Stars

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下载量

2,446
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:wyckoff-a-share(威科夫股份)
来源仓库:https://github.com/youngcan-wang/wyckoff-a-share
安装命令:
openclaw skills install wyckoff-a-share
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install wyckoff-a-share

简介

基于威科夫方法分析股票持仓与图表图像的工具。

  • 整合持股成本、数量与现金数据生成专业分析报告。
  • 适用于技术分析教学与投资策略辅助决策。wyckoff-a-share 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令:openclaw skills install wyckoff-a-share。
  • 需提供 CSV 数据文件或手动录入持仓明细。

SKILL.md

name
akshare-online-alpha
description
Run Wyckoff master-style analysis from stock codes, holdings (symbol/cost/qty), cash, CSV data, and optional chart images. Use when users want online multi-source data fetching with source switching, strict Beijing-time trading-session checks, fixed system prompt analysis, single-stock analysis, holding rotation, holding add/reduce suggestions, or empty-position cash deployment suggestions.

Akshare Online Alpha

Use this skill when the user wants Wyckoff-style analysis with online data fetch and source fallback.

Input Schema

Single/multi symbol analysis:

  • Inputs: stock code(s), optional CSV, optional chart image, text goals.

Portfolio decision analysis:

  • holdings (can be empty): [股票A+成本+数量, 股票B+成本+数量, ...]
  • cash: available cash amount
  • candidate (optional): stock code not currently in holdings
  • Optional CSV/image/text instructions are still supported.

Portfolio example:

  • holdings = [600519+1450+100, 000001+10.2+3000]
  • cash = 80000
  • candidate = 300750

When To Use / Not Use

Use this skill when at least one condition is true:

  • User provides stock code(s) and asks for current/near-current analysis.
  • User provides holdings + cash + candidate and asks whether to switch positions.
  • User asks whether current holdings should be increased/reduced/kept.
  • User has no holdings and asks how to act with available cash.
  • User asks to combine CSV + online validation.
  • User provides chart image and asks for Wyckoff interpretation.

Do not use this skill when:

  • User only asks for generic Python/chart debugging unrelated to market analysis.
  • User requests purely offline historical analysis with no online data requirement.

Auto Intent Inference

When holdings/cash/candidate are provided, do not require the user to say "switch / add / reduce / empty-position".

Infer automatically from provided fields:

  • holdings non-empty + candidate provided: include rotation comparison and per-holding actions.
  • holdings non-empty + no candidate: provide per-holding add/reduce/hold/exit suggestions.
  • holdings empty + cash provided: provide empty-position cash deployment suggestion.

Required Execution Order

  1. Validate input and parse structured fields:
  • Determine symbol-only flow or portfolio flow from input fields.
  • CSV (if provided): main source for historical structure.
  • Text instructions: constraints and goals.
  • Image (if provided): supplemental intraday/micro-structure signal.
  • In portfolio flow, parse holdings/cash/candidate(optional) before analysis.
  1. Resolve current Beijing time before any trading suggestion:
  • Fetch actual current time from tool/system.
  • Convert to Asia/Shanghai.
  • Print 当前北京时间:YYYY-MM-DD HH:MM(UTC+8).
  • Determine if in A-share continuous auction window.
  1. Enforce trading-session rules:
  • If not in tradable session, only provide post-market review/next-day plan/order strategy.
  • Do not output immediate intraday execution commands.
  1. Fetch data with online source switching:
  • Use rules/source-fallbacks.md order.
  • For each symbol, keep source audit log.
  • If source fails, schema check fails, or rows are insufficient, switch source.
  • In portfolio flow, fetch all holding symbols and candidate symbol when provided.
  1. Perform Wyckoff analysis first:
  • Analyze latest 500 days structure with MA50/MA200.
  • Identify phases/events without forcing full phase set.
  • Allow event-date news checks only for verification, not as decision basis.
  1. In portfolio flow, produce a Wyckoff-style portfolio recommendation:
  • For each holding, give one action: add / reduce / hold / exit.
  • If candidate is provided, compare candidate vs current holdings from structure strength, phase position, and event quality.
  • If candidate is provided, identify which current holding is structurally weakest and whether rotation is needed.
  • If holdings are empty, provide an empty-position suggestion using available cash and current structure context.
  • Use cost/qty/cash to give concrete action suggestions in narrative form.
  • Keep final recommendation in Wyckoff tone and clearly state action labels such as switch / partial switch / hold / add / reduce.
  1. Plot only when allowed:
  • If current time is intraday trading time, skip plotting.
  • Otherwise generate plotting code/result using hard rendering constraints from system prompt.

Fixed Output Contract

Always output in this order:

  1. 当前北京时间:YYYY-MM-DD HH:MM(UTC+8)
  2. Trading verdict:
  • 当前是否可盘中交易:是/否
  • If no: 当前不可盘中交易(原因:...)
  1. Data audit table per symbol:
  • symbol
  • source_used
  • rows_kept
  • window_end_date
  • fallback_count
  1. Wyckoff analysis result:
  • Current cycle background and phase (only what is evidenced).
  • Key events (SC/ST/Spring/LPS/SOS/UTAD if present) with concise rationale.
  • Action boundaries respecting T+1 and current session status.
  1. Portfolio action section (portfolio flow only):
  • Holdings snapshot from provided cost/qty/cash.
  • Per-holding action suggestions (add / reduce / hold / exit) with reasoning.
  • Candidate vs weakest holding comparison (if candidate is provided).
  • Empty-position cash action suggestion (if holdings are empty).
  • Final action summary in Wyckoff tone.
  1. Plotting section (only when allowed by session rules):
  • Python code and/or generated chart result with Chinese annotation constraints.

Failure And Degrade Rules

  • If all data sources fail for a symbol, report that symbol as data_unavailable and continue with remaining symbols.
  • If fewer than 30 valid rows are available, do not force phase labeling; return "insufficient structure depth".
  • If image is unreadable, explicitly state parse failure reason and continue with text/CSV path.
  • Never invent OHLCV rows, event timestamps, or trading-day status.

Hard Constraints

  • Do not change the fixed prompt wording unless explicitly requested.
  • Do not fabricate missing OHLCV rows.
  • Do not ignore image input if image is parseable.
  • Do not use opaque white text boxes in chart annotations.
  • If fetching data requires running Python scripts, run them only in a sandboxed environment.
  • Prefer direct web/API fetch first; use Python scripts only when needed for fallback, parsing, or normalization.

Resources

  • rules/alpha-system-prompt.md: fixed role and hard rules.
  • rules/source-fallbacks.md: online source switching policy.

适合场景

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算1,735

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安装前确认

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