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trading-quant

trading-quant

github.com/lanyashengData & databases10795 installsUpdated 34w ago
Repository

About trading-quant

A quantitative trading analysis skill that retrieves market data from multiple sources and scores securities across technical, capital-flow, fundamental, news, and sentiment dimensions. It is intended for market analysis across Chinese and global stocks and commodities.

Key features

  1. 01Multi-source real-time market data
  2. 02A-share, US, Hong Kong, and commodity analysis
  3. 03Five-dimension scoring and signal levels
  4. 04Market scans, anomalies, and capital-flow data
  5. 05Data maintenance and system health commands

Use cases

  1. 01Review an A-share stock with a weighted score
  2. 02Compare global market snapshots
  3. 03Scan for market anomalies and capital flows
  4. 04Check technical indicators and trading signals

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/lanyasheng/trading-quant --skill trading-quant

After installing, type/trading-quantin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

_meta.json
requirements.txt
.gitignore
scripts/
batch_fetch.sh
scripts/lib/analysis/
__init__.py
industry_classifier.py
capital_flow.py
scoring.py
capital_flow.py.bak
capital_flow.py.bak2
sentiment.py
technical.py
scripts/lib/config/
settings.yaml
__init__.py
scripts/lib/data_sources/
__init__.py
eastmoney_market.py
base.py
capital_flow_manager.py
eastmoney.py
eastmoney_news.py
eastmoney_northbound.py
sina_commodity.py
manager.py
multi_news.py
sina_market.py
tencent.py
tencent_hk.py
tencent_us.py
sina_commodity.py.bak
sina.py

Details

From the project README

量化交易数据分析

通过腾讯/新浪/东财/同花顺多数据源获取实时行情，提供5维评分体系。

工具列表

所有工具统一入口:

python3.12 {baseDir}/scripts/quant.py <tool> [args...]
A股分析
python3.12 {baseDir}/scripts/quant.py stock_analysis [codes]
python3.12 {baseDir}/scripts/quant.py intraday_snapshot
全球市场
python3.12 {baseDir}/scripts/quant.py us_stock [symbols]
python3.12 {baseDir}/scripts/quant.py hk_stock [codes]
python3.12 {baseDir}/scripts/quant.py commodity [codes]
python3.12 {baseDir}/scripts/quant.py global_overview
市场数据
python3.12 {baseDir}/scripts/quant.py market_anomaly
python3.12 {baseDir}/scripts/quant.py market_scan
python3.12 {baseDir}/scripts/quant.py top_amount [N]
python3.12 {baseDir}/scripts/quant.py capital_flow [codes]
python3.12 {baseDir}/scripts/quant.py northbound_flow
python3.12 {baseDir}/scripts/quant.py gold_analysis
python3.12 {baseDir}/scripts/quant.py margin_data [code]
python3.12 {baseDir}/scripts/quant.py lhb [date]
python3.12 {baseDir}/scripts/quant.py main_flow [codes]
维护
python3.12 {baseDir}/scripts/quant.py warm_klines
python3.12 {baseDir}/scripts/quant.py save_daily
python3.12 {baseDir}/scripts/quant.py system_health

评分体系

维度权重指标
技术面25%MACD/RSI/KDJ/均线/布林
资金面30%量比/换手率/量价/主力资金
基本面10%PE/PB/市值
消息面20%LLM 根据新闻原文判断
情绪面15%LLM 根据市场数据判断
信号等级

STRONG_BUY(>=80) > BUY(>=65) > WATCH(>=50) > HOLD(>=35) > SELL(>=20) > STRONG_SELL(<20)

数据源

市场主源降级链
A股腾讯新浪→东财→同花顺
美股腾讯yfinance
港股腾讯-
商品新浪期货-

规则

  1. 必须使用工具获取数据，禁止凭记忆回答行情
  2. PE>100 或 PB<0.8 时必须标注风险
  3. 涨停>30只时提示市场情绪亢奋
  4. 北向净流出>50亿时提示外资撤离

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