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npx skills add https://github.com/aifinlab/FinClaw --skill akshare-trend-judgment命令会保持在同一行。复制前请横向滚动并检查完整内容。
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基于 SOC 职业分类
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| name | akshare-trend-judgment |
| description | 用于基于AkShare数据的趋势判断场景。适用于金融工作中的基础任务单元。 |
本 Skill 使用 AkShare 提供的 A 股公开市场数据接口，核心包括：
stock_zh_a_hist：获取沪深京 A 股历史日频行情，用于计算均线、收益率、波动率、回撤与突破信号。stock_zh_a_spot_em：获取 A 股实时/最新股票列表与名称，用于证券代码校验和名称补全。AkShare 官方文档说明，stock_zh_a_hist 可按股票代码、周期、日期区间与复权方式获取沪深京 A 股历史日频数据；stock_zh_a_spot_em 可获取 A 股市场行情快照与股票代码信息。数据源来自公开可访问的网站与行情页面，经 AkShare 封装后供 Python 调用。
参考：AkShare 股票数据文档与数据说明。
本 Skill 面向 单只 A 股证券 做规则化趋势判断，输出结构化结果，适合研究、投研辅助、风控预警和策略原型验证。
symbol: 股票代码name: 股票名称as_of: 截止日期trend_label: 趋势标签confidence: 置信度close, ma5, ma10, ma20, ma60ret_5d, ret_20d, ret_60dannualized_volatilitymax_drawdown_60dsignalssummarypip install akshare pandas numpy
python script/a_share_trend_judgment.py --symbol 600519 --start-date 20240101 --end-date 20260301
python script/a_share_trend_judgment.py \
--symbol 000001 \
--start-date 20240101 \
--end-date 20260301 \
--output result.json
{
"symbol": "600519",
"name": "贵州茅台",
"as_of": "2026-03-01",
"trend_label": "震荡偏强",
"confidence": 0.69,
"close": 1688.0,
"ma5": 1679.2,
"ma10": 1662.8,
"ma20": 1645.6,
"ma60": 1602.3,
"ret_5d": 0.0132,
"ret_20d": 0.0528,
"ret_60d": 0.1085,
"annualized_volatility": 0.2214,
"max_drawdown_60d":
qfq。MIT License
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