mingli30119

mingli30119 / stock-analysis

Public

一句话搞定一支个股的基本面分析

akshare chinese-stock-market data-analysis echarts python
19
4
100% credibility
Found May 11, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This tool generates comprehensive, interactive HTML reports for individual Chinese A-share stocks, covering price charts, financials, industry analysis, risk assessments, and investment insights.

How It Works

1
🔍 Find the stock report maker

You come across this handy tool online that promises to create detailed reports for Chinese stocks with charts and insights.

2
💻 Get it ready on your computer

Download the files and prepare the simple tools it needs so everything is set up in minutes.

3
📝 Enter a stock code

Type in a six-digit code for the stock you want to check, like for a company you're curious about.

4
⚡ It pulls together the full picture

The tool quickly gathers price history, company finances, news, and more, then runs a deep 8-step analysis to score quality and spot risks.

5
📁 Check your new reports

Find the ready-made files in a folder: a simple text summary and a fancy web page version.

🎉 Explore your interactive stock report

Open the beautiful web report with switchable themes, zoomable charts, industry maps, and clear buy/sell ideas – all in one easy place.

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Star Growth

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AI-Generated Review

What is stock-analysis?

This Python tool fetches A-share stock data via akshare—K-lines, financials, news, funds flow—and cranks out a full fundamental analysis report in HTML or Markdown. Feed it a code like `python stock_full_report.py 000066` and get interactive ECharts candlesticks with MAs, industry chain visuals, 5D quality scores, elasticity scenarios, risks, and valuations in an 8-step framework. Turns hours of manual github stock analysis into a one-command, responsive stock analysis website with dark/light themes.

Why is it gaining traction?

Polished outputs like SVG chains and scenario charts stand out from raw stock data analysis github dumpers, delivering daily stock analysis github ready for sharing on stock analysis reddit. Config tweaks for caching and retries make it reliable for stock analysis tools github workflows, while akshare integration skips API hassles. Hooks devs building stock analysis ai or stock technical analysis github prototypes without reinventing data pipelines.

Who should use this?

A-share traders running stock analysis novo nordisk-style deep dives on codes like 600737. Python scripters prototyping stock analysis app dashboards or stock intelligent analysis system github agents. Quant hobbyists needing quick stock prediction sentiment analysis github previews before full models.

Verdict

At 19 stars and 1.0% credibility, it's raw but functional for personal stock-analysis skill sharpening—great docs and CLI speed up experiments. Fork it for production, but watch akshare limits and add tests.

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