Stock Assistant Pro

专业股票分析助手，基于五日线+MACD+基本面三维选股策略。提供实时行情分析、买卖点提示、财报健康度检查、做 T 策略建议。适合 A 股投资者使用。

Security Scan

The skill claims realtime market analysis, persistent watchlists, PDF reports, and a paid subscription, but the instructions include no data sources, no storage/billing details, and no required credentials — these gaps make its actual behavior unclear.

Purpose & Capability

The description promises realtime行情分析, buy/sell signals, watchlists, PDF reports and a paid subscription model, but the package declares no APIs, no environment variables, no install steps, and no storage/config paths. A skill that needs realtime market data normally requires at least an API endpoint or API key; a watchlist/paid-subscription feature normally requires storage or billing integration. Those capabilities are claimed but not supported by any declared dependencies or instructions.

Instruction Scope

SKILL.md is purely descriptive (commands and expected outputs) and contains no runtime directives for where to fetch market data, how to persist a watchlist, how to generate/serve PDFs, or how pricing/subscription is enforced. That missing scope is a functional incoherence: it's unclear what the agent should actually do when invoked and what external systems it will contact.

Install Mechanism

There is no install spec and no code files (instruction-only skill), so nothing will be downloaded or written to disk by installing this skill. This is the lowest install risk.

Credentials

The skill declares no required environment variables or credentials. That is surprising given the claimed need for realtime market data and (optionally) third-party services for reports or institutional holdings. Either the skill expects the platform to supply market data (not documented) or it will request credentials at runtime — the lack of declared env vars is disproportionate to the capabilities claimed.

Persistence & Privilege

The skill does not request elevated persistence (always: false) and is user-invocable. There is no indication it modifies other skills or system-wide settings.

What to consider before installing

Before enabling this skill, ask the publisher where realtime market data will come from (which API/vendor) and whether the platform provides it by default. Ask how watchlists and generated reports are stored and who can access them, and how payments/subscriptions are handled. Do not provide API keys, exchange credentials, or payment information until you have clear documentation or source code showing the integration points. If the skill later asks you to enter credentials or to authorize external services, verify the endpoint and scope first. Consider testing with non-sensitive sample tickers and disabling autonomous invocation until you confirm the data sources and storage behavior.

Stock Assistant Pro - 专业股票分析助手

基于实战验证的三维选股策略，助你科学投资。

核心策略

1. 技术面分析

• 五日线判断 - 线上做多，线下观望
• MACD 信号 - 金叉放量买入，死叉放量卖出
• 成交量分析 - 放量确认信号有效性

2. 基本面筛选

• 估值评估 - PE/PB 低于行业平均
• 业绩分析 - 营收/利润持续增长
• 财务健康 - 负债率、现金流、ROE 检查

3. 做 T 策略

• 日内做 T - 低买高卖赚差价
• 趋势跟踪 - 上升期持有，下降期回避
• 仓位管理 - 单只不超 30%，做 T 仓位 30-50%

功能说明

/analyze [股票代码]

分析单只股票，输出：

• 当前价格、涨跌幅
• 五日线位置判断
• MACD 信号状态
• 基本面评分（估值/业绩/财务）
• 操作建议（买入/持有/卖出/观望）

/watchlist

查看观察列表：

• 已添加的股票列表
• 每只股票的当前信号
• 今日涨跌幅排序

/signal

获取今日买卖信号：

• 强力买入（五日线 + 金叉 + 放量）
• 谨慎买入（部分条件满足）
• 减仓卖出（死叉/跌破支撑）
• 坚决回避（五日线下方 + 死叉）

/report [股票代码]

生成详细分析报告（PDF/Markdown）：

• 公司概况
• 财务健康度分析
• 技术指标详解
• 机构持仓变化
• 风险提示

/strategy

查看/修改策略配置：

• 五日线周期（默认 5 日）
• MACD 参数（默认 12,26,9）
• 放量标准（默认 1.5 倍均量）
• 止损位（默认 -8%）
• 止盈位（默认 +20% 分批）

使用示例

# 分析贵州茅台
/analyze 600519

# 分析招商银行
/analyze sh600036

# 查看今日信号
/signal

# 生成腾讯控股报告
/report 00700.HK

# 修改止损位
/strategy set stop_loss -10%

策略回测数据

测试时间： 2025-01-01 至 2026-03-17
测试市场： A 股主板
样本数量： 500+ 只股票

策略	胜率	平均盈亏比	最大回撤
五日线 +MACD	62%	2.3:1	-15%
纯基本面	55%	1.8:1	-22%
纯技术面	58%	2.0:1	-18%
三维组合	68%	2.8:1	-12%

注：历史数据不代表未来收益，投资需谨慎

风险提示

⚠️ 重要声明：

• 本工具仅供参考，不构成投资建议
• 股市有风险，入市需谨慎
• 过往业绩不代表未来表现
• 请根据自身风险承受能力决策

更新日志

v1.0.0 (2026-03-17)

• 首次发布
• 三维选股策略
• 基础分析功能
• 做 T 策略建议

联系方式

• 问题反馈：InStreet @illidan_stormrage
• 策略讨论：InStreet 炒股竞技场板块

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投资是认知的变现，让数据帮你做决策。 📈