164149043

164149043 / chananalyzer

Public

基于缠论（缠中说禅）技术分析的 A 股行情分析工具，支持笔、线段、中枢、买卖点自动识别。

19
6
100% credibility
Found Mar 24, 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

A toolkit for analyzing Chinese stocks with Chan theory patterns to identify buy and sell opportunities, featuring scanners, charts, AI advice, and data caching.

How It Works

1
🔍 Discover ChanAnalyzer

You learn about a helpful tool that spots great buying chances in Chinese stocks by recognizing special chart patterns.

2
📥 Get everything ready

Download the tool and let it grab stock market history so you can start exploring right away.

3
🚀 Start scanning stocks

Hit scan to check thousands of stocks and find ones flashing buy signals today.

4
🎯 Your opportunities appear

Watch as a neat list pops up with top stocks showing strong buy patterns, prices, and details.

5
📊 Check a stock closely

Pick any stock from the list to see its chart with all patterns, lines, and signals marked clearly.

6
🤖 Get smart AI advice

Tap for instant expert thoughts on whether to buy, sell, or wait, with reasons why.

💰 Trade smarter

Now you have clear signals and advice to spot great trades and grow your investments confidently.

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Star Growth

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AI-Generated Review

What is chananalyzer?

Chananalyzer is a Python tool for automated technical analysis of A-share stocks using Chan theory, spotting strokes, segments, pivots, and buy/sell points from K-line data. It pulls data from sources like Tushare or Baostock, scans thousands of stocks for signals via CLI commands like `scan_stocks.py`, and visualizes results with plots or a GUI scanner. Traders get quick lists of promising stocks filtered by point types, funds flow, or sectors—no manual charting needed.

Why is it gaining traction?

It stands out with A-share-specific scanners that batch-check buy points across industries or regions, plus local caching for offline speed and AI-powered summaries via DeepSeek integration. Python scripts handle data updates and multi-timeframe analysis (daily/weekly), outputting ranked results with money flow stats. Devs dig the web API for embedding and GUI for visual confirmation, skipping boilerplate data pipelines.

Who should use this?

A-share day traders hunting Chan buy points (like class-2 or class-3) without drawing charts manually. Quant script kiddies automating scans on custom pools, filtered by sector inflows or ST exclusions. Chinese market analysts prototyping signals before backtesting.

Verdict

Grab it if you're deep into Chan theory—scanners deliver real value fast despite 19 stars and 1.0% credibility signaling early-stage code. Docs are README-focused with examples; add tests for production. Solid niche starter, not battle-tested yet.

(198 words)

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