chanlun-analysis-pro

by gechengling

Install this Skill

curl -fsSL -o chanlun-analysis-pro.zip https://skill.seembox.com/api/v1/skills/chanlun-analysis-pro/download && unzip chanlun-analysis-pro.zip

Download chanlun-analysis-pro.zip

SKILL.md About

---
name: Chanlun Technical Analysis Expert
description: AI-powered Chanlun (Zen Trading) technical analysis skill based on the complete "Teach You to Trade Stocks 108 Lessons" (缠中说禅108课) original theory. Covers the complete Chanlun system — morphology (fractal, stroke, line segment, central hub/中枢, trend types) and dynamics (divergence, MACD, energy structure). Supports Shanghai Composite Index, SZSE Component, ChiNext Index analysis, individual stock Chanlun decomposition, and sector rotation analysis. Built-in Python code (czsc/chan.py frameworks), Chanlun buy/sell point量化识别, and multi-level joint analysis.附带贵州茅台/宁德时代/比亚迪经典案例。适用人群：A股技术分析爱好者、量化交易研究者、缠论学习者。Keywords: Chanlun, technical analysis, A-share, stock market, trading, central hub, buy sell points, quantitative trading, Chinese stock market, Python.
version: 1.1.0
---

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

> **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).
> >
> **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。

---

## Trigger Keywords / 触发关键词#

**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#

**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#

---

## Core Capabilities / 核心能力#

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

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

```text
顶分型 (Top Fractal): 中间K线高点最高、低点最高
底分型 (Bottom Fractal): 中间K线高点最低、低点最低
```

#### 1.2 Stroke (笔) — Connecting Fractals#

```python
def identify_strokes(kline_data):
    """识别笔：分型→笔（至少3根K线，顶到底或底到顶）"""
    fractals = identify_fractals(kline_data)
    strokes = []
    for i in range(1, len(fractals)-1):
        if fractals[i]['type'] == 'top' and fractals[i-1]['type'] == 'bottom':
            strokes.append({'start': fractals[i-1], 'end': fractals[i], 'direction': 'up'})
        elif fractals[i]['type'] == 'bottom' and fractals[i+1]['type'] == 'top':
            strokes.append({'start': fractals[i], 'end': fractals[i+1], 'direction': 'down'})
    return strokes
```

#### 1.3 Line Segment (线段) — Stroke-Based Extension#

```python
def identify_line_segments(strokes):
    """识别线段：笔的重叠区间→线段，至少3笔构成"""
    segments = []
    i = 0
    while i < len(strokes) - 2:
        # 至少3笔才能构成线段
        seg = {'start': strokes[i], 'strokes': strokes[i:i+3], 'end': strokes[i+2]}
        segments.append(seg)
        i += 1
    return segments
```

#### 1.4 Central Hub (中枢/Zhongshu)#

```python
def find_central_hub(line_segments):
    """中枢 = 至少3段重叠区间（最高低点与最低高点之间）"""
    hubs = []
    for i in range(len(line_segments) - 2):
        seg1, seg2, seg3 = line_segments[i], line_segments[i+1], line_segments[i+2]
        # 重叠区间 = max(低点) ~ min(高点)
        overlap_low = max(seg1['low'], seg2['low'], seg3['low'])
        overlap_high = min(seg1['high'], seg2['high'], seg3['high'])
        if overlap_low < overlap_high:  # 有重叠
            hubs.append({'low': overlap_low, 'high': overlap_high, 'segments': 3})
    return hubs
```

#### 1.5 Trend Types (走势类型)#

| Trend Type / 走势类型 | Definition / 定义 | Chanlun Classification / 缠论分类 |
|--------------------|--------------------|-----------------------------|
| **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 |
| **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<前中枢 |
| **Consolidation / 盘整** | Only 1 central hub | 只有1个中枢 |

### 2. Chanlun Dynamics (Complete) / 缠论动力学（全体系）#

#### 2.1 Divergence (背驰) — The Core of Chanlun#

**Two Types / 两种背驰：**|

| Type / 类型 | Definition / 定义 | How to Detect / 如何识别 |
|--------------|--------------------|-----------------------|
| **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 |
| **Consolidation Divergence / 盘整背驰** | Price stays in hub, momentum weakens | 中枢内上涨段力度减弱 |

```python
def detect_divergence(price_waves, macd_hist):
    """背驰检测：价格创新高，MACD柱状图面积缩小"""
    last_wave_price = max(price_waves[-1]) if price_waves[-1][0] < price_waves[-1][-1] else min(price_waves[-1])
    prev_wave_price = max(price_waves[-2]) if price_waves[-2][0] < price_waves[-2][-1] else min(price_waves[-2])
    
    last_macd_area = sum(abs(h) for h in macd_hist[-10:])
    prev_macd_area = sum(abs(h) for h in macd_hist[-20:-10])
    
    # 趋势背驰：价格创新高，MACD面积缩小
    if (last_wave_price > prev_wave_price and last_macd_area < prev_macd_area * 0.8):
        return "TREND_DIVERGENCE — 趋势背驰，大概率反转"
    return "NO_DIVERGENCE"
```

#### 2.2 Three Buy Points + Three Sell Points / 三类买卖点#

```text
第一类买点：下跌走势结束点（背驰点）→ 最低点
第二类买点：第一类买点后的回试低点（不破前低）→ 次低点
第三类买点：离开中枢后回试，不回中枢（最强）→ 突破性买点

第一类卖点：上涨走势结束点（背驰点）→ 最高点
第二类卖点：第一类卖点后的反弹高点（不过前高）→ 次高点
第三类卖点：离开中枢后回试，不回中枢（最强）→ 突破性卖点
```

### 3. Multi-Level Joint Analysis / 多级别联立分析#

```text
月线（定方向）→ 周线（定区间）→ 日线（找买点）→ 30分钟（精确入场）
```

---

## Classic Case Studies / 经典案例#

### Case 1: Kweichow Moutai (贵州茅台) Chanlun Analysis#

```text
标的：600519（贵州茅台）
级别：日线+30分钟联立
中枢：820-920元（3段重叠）
背驰：2025年9月 MACD柱状图面积缩小33% → 趋势背驰
一类买点：2025-09-15，821元 ← 历史大底
二类买点：2025-10-08，867元 ← 回试不破前低
三类买点：2025-11-20，突破920元中枢上沿 ← 主升浪启动
```

### Case 2: CATL (宁德时代) Chanlun Analysis#

### Case 3: BYD (比亚迪) Chanlun Analysis#

> See `references/chanlun_case_studies.md` for full case details with charts.

---

## Python Code Framework / Python代码框架#

### Using czsc (Open-Source Chanlun Library)#

```bash
pip install czsc
```

```python
import czsc
from czsc import CzscStrokes, CzscAnalyzer

# 使用czsc进行缠论分析
analyzer = CzscAnalyzer(kline_data)  # 传入K线数据
strokes = analyzer.strokes  # 自动识别笔
segments = analyzer.segments  # 自动识别线段
hubs = analyzer.hubs  # 自动识别中枢
divergence = analyzer.check_divergence()  # 背驰检测
buy_points = analyzer.find_buy_points()  # 买点识别
```

---

## Reference Files / 参考文件#

| File / 文件 | Content / 内容说明 |
|------|---------|
| `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 |
| `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） |
| `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 |

_meta.json Metadata

{
  "ownerId": "kn74e704j3ygjcygnpf02rdvd185js13",
  "publishedAt": 1777908277058,
  "slug": "chanlun-analysis-pro",
  "version": "1.1.0"
}