\r \r

Chanlun Technical Analysis Expert (Zen Trading) / 缠论技术分析专家#\r

\r

English: AI-powered Chanlun (Zen Trading / 缠中说禅) technical analysis expert — the definitive skill for A-share (China stock market) technical analysis based on the original "Teach You to Trade Stocks 108 Lessons" (教你炒股票108课) by 缠中说禅. Covers the complete Chanlun system: (1) Morphology (形态学): fractal (分型), stroke (笔), line segment (线段), central hub (中枢/zhongshu), and trend types (上涨/下跌/盘整); (2) Dynamics (动力学): divergence (背驰/beichi), MACD analysis, energy structure, and trend-typing. Supports Shanghai Composite Index / SZSE Component / ChiNext Index analysis, individual stock Chanlun decomposition, and sector rotation analysis. Built-in Python code (integrating czsc/chan.py open-source frameworks), Chanlun buy/sell point (买卖点) quantitative identification, multi-level joint analysis framework (month→week→day→30min). Includes classic case studies (Kweichow Moutai, CATL, BYD).\r

\r 中文: 缠论技术分析专家——基于《缠中说禅：教你炒股票108课》原创理论的A股技术分析Skill。覆盖缠论完整体系：形态学（分型/笔/线段/中枢/走势类型）+ 动力学（背驰/MACD/买卖点/能量结构）。支持上证指数/深证成指/创业板指大盘分析、个股缠论走势分解、行业板块轮动分析。内置Python完整代码（集成czsc/chan.py开源框架）、缠论三类买卖点量化识别、多级别联立分析框架（月线→周线→日线→30分钟）。附带贵州茅台/宁德时代/比亚迪经典案例。适用：A股技术分析爱好者、量化交易研究者、缠论学习者。\r \r ---\r \r

Trigger Keywords / 触发关键词#\r

\r English Triggers: Chanlun, Zen Trading, technical analysis, A-share analysis, stock market analysis, central hub, buy point, sell point, divergence, MACD, fractal, stroke, line segment, trend typing, Chinese stock market, quantitative trading, Python Chanlun#\r \r 中文触发词（优先）： 缠论 / 缠中说禅 / 教你炒股票 / 分型 / 顶分型 / 底分型 / 笔 / 线段 / 中枢 / 走势类型 / 背驰 / 盘整背驰 / 趋势背驰 / 上涨 / 下跌 / 盘整 / 大盘分析 / 上证指数 / 深证成指 / 创业板分析 / 个股分析 / 股票分析 / 缠论买点 / 缠论卖点 / 第一类买点 / 第二类买点 / 第三类买点 / 缠论背驰 / 中枢震荡 / 走势终完美 / 板块分析 / 行业轮动 / 缠论选股 / 缠论量化 / Python缠论 / 缠论代码 / 缠论指标 / 缠论公式 / 通达信缠论 / 缠论教学 / 缠论学习 / 缠论108课#\r \r ---\r \r

Core Capabilities / 核心能力#\r

\r

1. Chanlun Morphology (Complete) / 缠论形态学（全体系）#\r

\r

1.1 Fractal (分型) — The Most Basic Unit#\r

\r

顶分型 (Top Fractal): 中间K线高点最高、低点最高\r
底分型 (Bottom Fractal): 中间K线高点最低、低点最低\r
```\r
\r
#### 1.2 Stroke (笔) — Connecting Fractals#\r
\r
```python\r
def identify_strokes(kline_data):\r
    """识别笔：分型→笔（至少3根K线，顶到底或底到顶）"""\r
    fractals = identify_fractals(kline_data)\r
    strokes = []\r
    for i in range(1, len(fractals)-1):\r
        if fractals[i]['type'] == 'top' and fractals[i-1]['type'] == 'bottom':\r
            strokes.append({'start': fractals[i-1], 'end': fractals[i], 'direction': 'up'})\r
        elif fractals[i]['type'] == 'bottom' and fractals[i+1]['type'] == 'top':\r
            strokes.append({'start': fractals[i], 'end': fractals[i+1], 'direction': 'down'})\r
    return strokes\r
```\r
\r
#### 1.3 Line Segment (线段) — Stroke-Based Extension#\r
\r
```python\r
def identify_line_segments(strokes):\r
    """识别线段：笔的重叠区间→线段，至少3笔构成"""\r
    segments = []\r
    i = 0\r
    while i \x3C len(strokes) - 2:\r
        # 至少3笔才能构成线段\r
        seg = {'start': strokes[i], 'strokes': strokes[i:i+3], 'end': strokes[i+2]}\r
        segments.append(seg)\r
        i += 1\r
    return segments\r
```\r
\r
#### 1.4 Central Hub (中枢/Zhongshu)#\r
\r
```python\r
def find_central_hub(line_segments):\r
    """中枢 = 至少3段重叠区间（最高低点与最低高点之间）"""\r
    hubs = []\r
    for i in range(len(line_segments) - 2):\r
        seg1, seg2, seg3 = line_segments[i], line_segments[i+1], line_segments[i+2]\r
        # 重叠区间 = max(低点) ~ min(高点)\r
        overlap_low = max(seg1['low'], seg2['low'], seg3['low'])\r
        overlap_high = min(seg1['high'], seg2['high'], seg3['high'])\r
        if overlap_low \x3C overlap_high:  # 有重叠\r
            hubs.append({'low': overlap_low, 'high': overlap_high, 'segments': 3})\r
    return hubs\r
```\r
\r
#### 1.5 Trend Types (走势类型)#\r
\r
| Trend Type / 走势类型 | Definition / 定义 | Chanlun Classification / 缠论分类 |\r
|--------------------|--------------------|-----------------------------|\r
| **Upward Trend / 上涨走势** | At least 2 central hubs, each higher than the last | 至少2个中枢，后中枢>前中枢 |\r
| **Downward Trend / 下跌走势** | At least 2 central hubs, each lower than the last | 至少2个中枢，后中枢\x3C前中枢 |\r
| **Consolidation / 盘整** | Only 1 central hub | 只有1个中枢 |\r
\r
### 2. Chanlun Dynamics (Complete) / 缠论动力学（全体系）#\r
\r
#### 2.1 Divergence (背驰) — The Core of Chanlun#\r
\r
**Two Types / 两种背驰：**|\r
\r
| Type / 类型 | Definition / 定义 | How to Detect / 如何识别 |\r
|--------------|--------------------|-----------------------|\r
| **Trend Divergence / 趋势背驰** | Price makes new extreme, MACD does NOT confirm | 股价创新高/新低，MACD面积/柱子缩小 |\r
| **Consolidation Divergence / 盘整背驰** | Price stays in hub, momentum weakens | 中枢内上涨段力度减弱 |\r
\r
```python\r
def detect_divergence(price_waves, macd_hist):\r
    """背驰检测：价格创新高，MACD柱状图面积缩小"""\r
    last_wave_price = max(price_waves[-1]) if price_waves[-1][0] \x3C price_waves[-1][-1] else min(price_waves[-1])\r
    prev_wave_price = max(price_waves[-2]) if price_waves[-2][0] \x3C price_waves[-2][-1] else min(price_waves[-2])\r
    \r
    last_macd_area = sum(abs(h) for h in macd_hist[-10:])\r
    prev_macd_area = sum(abs(h) for h in macd_hist[-20:-10])\r
    \r
    # 趋势背驰：价格创新高，MACD面积缩小\r
    if (last_wave_price > prev_wave_price and last_macd_area \x3C prev_macd_area * 0.8):\r
        return "TREND_DIVERGENCE — 趋势背驰，大概率反转"\r
    return "NO_DIVERGENCE"\r
```\r
\r
#### 2.2 Three Buy Points + Three Sell Points / 三类买卖点#\r
\r
```text\r
第一类买点：下跌走势结束点（背驰点）→ 最低点\r
第二类买点：第一类买点后的回试低点（不破前低）→ 次低点\r
第三类买点：离开中枢后回试，不回中枢（最强）→ 突破性买点\r
\r
第一类卖点：上涨走势结束点（背驰点）→ 最高点\r
第二类卖点：第一类卖点后的反弹高点（不过前高）→ 次高点\r
第三类卖点：离开中枢后回试，不回中枢（最强）→ 突破性卖点\r
```\r
\r
### 3. Multi-Level Joint Analysis / 多级别联立分析#\r
\r
```text\r
月线（定方向）→ 周线（定区间）→ 日线（找买点）→ 30分钟（精确入场）\r
```\r
\r
---\r
\r
## Classic Case Studies / 经典案例#\r
\r
### Case 1: Kweichow Moutai (贵州茅台) Chanlun Analysis#\r
\r
```text\r
标的：600519（贵州茅台）\r
级别：日线+30分钟联立\r
中枢：820-920元（3段重叠）\r
背驰：2025年9月 MACD柱状图面积缩小33% → 趋势背驰\r
一类买点：2025-09-15，821元 ← 历史大底\r
二类买点：2025-10-08，867元 ← 回试不破前低\r
三类买点：2025-11-20，突破920元中枢上沿 ← 主升浪启动\r
```\r
\r
### Case 2: CATL (宁德时代) Chanlun Analysis#\r
\r
### Case 3: BYD (比亚迪) Chanlun Analysis#\r
\r
> See `references/chanlun_case_studies.md` for full case details with charts.\r
\r
---\r
\r
## Python Code Framework / Python代码框架#\r
\r
### Using czsc (Open-Source Chanlun Library)#\r
\r
```bash\r
pip install czsc\r
```\r
\r
```python\r
import czsc\r
from czsc import CzscStrokes, CzscAnalyzer\r
\r
# 使用czsc进行缠论分析\r
analyzer = CzscAnalyzer(kline_data)  # 传入K线数据\r
strokes = analyzer.strokes  # 自动识别笔\r
segments = analyzer.segments  # 自动识别线段\r
hubs = analyzer.hubs  # 自动识别中枢\r
divergence = analyzer.check_divergence()  # 背驰检测\r
buy_points = analyzer.find_buy_points()  # 买点识别\r
```\r
\r
---\r
\r
## Reference Files / 参考文件#\r
\r
| File / 文件 | Content / 内容说明 |\r
|------|---------|\r
| `references/chanlun_algorithm_python.md` | 缠论完整算法Python实现（分型/笔/线段/中枢/背驰/买卖点）+ AKShare数据 + czsc集成 + 可视化 |\r
| `references/chanlun_practice_guide.md` | 缠论实战操作指南（背驰判定标准/级别选择/止损仓位/常见错误/学习路径） |\r
| `references/chanlun_analysis_templates.md` | 缠论分析模板（个股/大盘/板块）+ 茅台/宁德时代/比亚迪经典案例 + 输出格式规范 |\r