股票技术分析 (Stock Technical Analysis)

提供股票K线数据及计算KDJ、MACD、BOLL、MA技术指标，支持资金流向排名和综合买卖信号分析。

Security Scan

The skill's code, instructions, and dependencies match its stated purpose (fetch Eastmoney data and compute technical indicators); it does network calls to Eastmoney but requests no credentials or unexpected system access.

Purpose & Capability

Name/description match the included code: eastmoney_spider.py fetches K-line and capital-flow data from Eastmoney endpoints; indicators.py and stock_analyze.py compute KDJ/MACD/BOLL/MA and produce reports. No unrelated binaries, env vars, or config paths are requested.

Instruction Scope

SKILL.md instructs importing the provided modules and running functions or CLI; runtime actions are limited to HTTP requests to eastmoney endpoints and local computations. The instructions do not ask the agent to read unrelated files or environment variables. Note: API responses may include futures/debt data (the README/SKILL.md already warns of this).

Install Mechanism

There is no external install script or download URL; the package includes source files and a small requirements.txt (requests/pandas/numpy). No extract-from-URL or untrusted remote installation is present.

Credentials

The skill requires no environment variables or credentials. Network access to Eastmoney public APIs is expected for its purpose. No secrets or unrelated service tokens are requested.

Persistence & Privilege

always is false and the skill does not request elevated or persistent platform privileges. It contains no code that modifies other skills or system-wide agent settings.

Assessment

This skill appears coherent and implements what it claims: it fetches public data from Eastmoney and calculates trading indicators. Before installing, consider: 1) The source is listed as unknown — review the bundled code yourself or run it in an isolated environment (virtualenv/container) if provenance matters. 2) The skill makes network requests to eastmoney.com endpoints — ensure that outbound network access is acceptable and that use complies with Eastmoney's terms. 3) Install only the listed Python dependencies (requests, pandas, numpy) from PyPI and keep them up to date. 4) Don't treat outputs as investment advice; validate results against other sources before acting on them. If you'd like, I can highlight any specific lines in the code for deeper review or run a small static check for risky patterns (shell exec, external unknown hosts, credential usage).

股票技术分析 Skill (Stock Technical Analysis)

技能信息

• 名称: stock-technical-analysis
• 描述: 股票技术分析工具 - 获取K线数据、计算技术指标（KDJ/MACD/BOLL/MA）、资金流向排名
• 触发关键词: 股票分析、技术指标、查股票、行情分析、KDJ、MACD、BOLL

功能

1. K线数据获取 - 获取股票历史行情数据（日/周/月K线）
2. 技术指标计算 - KDJ、MACD、BOLL、MA 均线
3. 资金流向 - 主力资金排名（今日/5日/10日）
4. 综合信号 - 金叉/死叉、超买/超卖状态

环境依赖

• Python 3.8+
• requests>=2.28.0
• pandas>=1.5.0
• numpy>=1.21.0

使用示例

1. 完整分析一只股票

from eastmoney_spider import EastmoneySpider
from indicators import (
    calculate_kdj, 
    calculate_macd, 
    calculate_boll, 
    calculate_ma,
    get_latest_signals
)

spider = EastmoneySpider()

# 获取K线数据（默认100天）
df = spider.get_stock_kline("600519", days=100)

# 计算各技术指标
kdj = calculate_kdj(df)
macd = calculate_macd(df)
boll = calculate_boll(df)
ma = calculate_ma(df)
signals = get_latest_signals(df)

# 输出结果
print(f"股票: {df.iloc[0]['name']}")
print(f"收盘价: {df.iloc[-1]['close']}")
print(f"KDJ: K={kdj['k'][-1]:.1f} D={kdj['d'][-1]:.1f} J={kdj['j'][-1]:.1f}")
print(f"MACD: DIF={macd['dif'][-1]:.3f} DEA={macd['dea'][-1]:.3f}")
print(f"BOLL: 上轨={boll['upper'][-1]:.2f} 中轨={boll['middle'][-1]:.2f} 下轨={boll['lower'][-1]:.2f}")
print(f"综合信号: {signals}")

2. 获取资金流向排名

from eastmoney_spider import EastmoneySpider

spider = EastmoneySpider()

# 今日主力资金排名
date, df = spider.fetch_capital_flow_rank(days=0, limit=20)

# 5日主力资金排名
date, df = spider.fetch_capital_flow_rank(days=5, limit=20)

print(df.head(10))

3. 命令行直接运行

python stock_analyze.py 600519
python stock_analyze.py 000001 --json

指标说明

KDJ 随机指标

• K值: 快速随机指标
• D值: 慢速随机指标
• J值: 3×K - 2×D
• 信号: K/D金叉(买)、K/D死叉(卖)
• 超买: J>80 | 超卖: J<20

MACD 指数平滑异同移动平均线

• DIF: 快线 (EMA12 - EMA26)
• DEA: 慢线 (DIF的EMA9)
• MACD: (DIF-DEA)×2
• 信号: DIF上穿DEA(金叉)、下穿DEA(死叉)
• 趋势: DIF>DEA 多头 | DIF<DEA 空头

BOLL 布林线

• 上轨: 中轨 + 2×标准差
• 中轨: 20日均线
• 下轨: 中轨 - 2×标准差
• 信号: 突破上轨(超买)、跌破下轨(超卖)

MA 移动平均线

• MA5: 5日均线（短期）
• MA10: 10日均线（短期）
• MA20: 20日均线（中期）
• MA60: 60日均线（长期）

返回格式

综合信号 (get_latest_signals)

{
    'kdj': {
        'signal': 1,  # 1=金叉, -1=死叉, 0=无
        'status': '超买/超卖/正常',
        'j': 85.5    # J值
    },
    'macd': {
        'signal': 0,
        'trend': '多头/空头'
    },
    'boll': '突破上轨/跌破下轨/震荡区间',
    'price': {
        'close': 1460.0,
        'pct_chg': 0.12
    },
    'date': '2026-04-03'
}

注意事项

• 股票代码需要是6位数字（如600519、000001）
• 默认获取100天日K线数据
• 资金流向API返回可能包含期货/债券数据
• 本技能仅供技术分析参考，不构成投资建议