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mpquant 库集成优化工具 — Ashare(新浪+腾讯双源) + MyTT(技术指标)，用于优化 astock-copilot 项目的数据源和指标分析
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Based on SOC occupation classification
A股全栈数据工具包 — 覆盖行情(mootdx+腾讯)、信号(同花顺热点+北向)、研报(东财+iwencai)、新闻(akshare)、基础数据(mootdx财务/F10)、公告(巨潮)六层数据源。适用于个股估值、研报检索、题材归因、产业链调研、批量筛选等场景。
A股盘中实时监控 — 热点板块轮动、北向资金异动、个股行情追踪
Manually switch between DeepSeek models (pro/flash/chat/reasoner). Changes take effect after restart.
A股盘前扫描 — 隔夜消息、外围市场、热点板块、北向资金。用于生成盘前简报。
A股盘后复盘 — 盈亏汇总、策略归因、明日展望
A股风控评估 — 预交易风险检查（仓位/回撤/连续亏损/ST禁买）
| name | astock-mpquant-optimizer |
| description | mpquant 库集成优化工具 — Ashare(新浪+腾讯双源) + MyTT(技术指标)，用于优化 astock-copilot 项目的数据源和指标分析 |
| metadata | {"type":"skill","author":"mpquant","source":"https://github.com/mpquant"} |
将 mpquant 的两个核心库（Ashare + MyTT）集成到 astock-copilot 项目中，优化数据源稳定性和技术分析能力。
backend/services/ashare_data.pyget_price_daily(symbol, count=120)backend/services/technical_indicators.pycompute_indicators(df) → dictindicators_to_text(dict) → AI promptanalyze_signal(dict) → {"signal": "偏多/偏空/中性", "score": int}Ashare(新浪) → Ashare(腾讯) → akshare stock_zh_a_daily → akshare stock_zh_a_hist → 模拟数据
# 数据获取
from backend.services.ashare_data import get_price_daily
df = get_price_daily("600519", count=120)
# 技术指标
from backend.services.technical_indicators import compute_indicators, indicators_to_text
indicators = compute_indicators(df)
text = indicators_to_text(indicators)