Stock Analysis

Description

Comprehensive stock technical analysis system that fetches stock data, calculates technical indicators, performs model-based scoring, generates visualizations, and produces Markdown analysis reports. Supports single stock analysis, multi-stock comparison, and technical indicator queries.

Activation Keywords

•stock analysis
•股票分析
•technical analysis
•技术分析
•stock indicators
•stock chart
•k-line
•k线图
•kdj, macd, rsi, boll
•布林带, 移动平均, 均线
•股票评分
•stock score
•股票模型
•stock model
•趋势分析
•momentum
•成交量
•换手率

Tools Used

•exec: Run Python scripts for data processing and indicator calculation
•read: Read stock data files and configuration
•write: Save analysis reports and generate outputs

Installation

Prerequisites

bash

# Python 3.8+
python3 --version

# Install required packages
pip install akshare pandas numpy matplotlib plotly

Optional Dependencies (Enhanced Features)

bash

# For faster technical indicators
pip install TA-Lib

# For professional K-line charts
pip install mplfinance

# For machine learning models
pip install scikit-learn

Verify Installation

bash

python3 -c "import akshare; print('AkShare:', akshare.__version__)"
python3 -c "import pandas; print('Pandas:', pandas.__version__)"
python3 -c "import mplfinance; print('mplfinance installed')"

Usage Patterns

Single Stock Analysis

code

分析一下贵州茅台 (600519) 最近 60 天的走势，并给出操作建议

Multi-Stock Comparison

code

对比分析 贵州茅台、五粮液、泸州老窖最近 90 天的表现

Technical Indicator Query

code

查看 600519 的 MACD 和 KDJ 当前状态是什么？

Scoring and Recommendation

code

给 600547 山东黄金进行技术评分，并给出买入/持有/卖出建议

Instructions for Agents

When user requests stock analysis:

Step 1: Parse Request

Identify:

•Stock code(s): e.g., "600519" for Guizhou Moutai
•Time period: default 60 days (can be 30/60/90/180)
•Analysis type: single/multi/scoring/indicators
•Specific indicators: if requested

Step 2: Fetch Data

Use AkShare to fetch stock data:

python

import akshare as ak

# Fetch daily data
df = ak.stock_zh_a_hist(
    symbol="600519",           # Stock code
    period="daily",            # Daily data
    start_date="20241201",     # YYYYMMDD format
    end_date="20260204",       # YYYYMMDD format
    adjust="qfq"              # Forward-adjusted price
)

Step 3: Calculate Technical Indicators

Use scripts in scripts/ directory to calculate comprehensive indicators:

Trend Indicators:

•MA: Moving Averages (5, 10, 20, 30, 60, 120 days)
•EMA: Exponential Moving Averages
•BOLL: Bollinger Bands (20, 2)
•MACD: (12, 26, 9)
•SAR: Parabolic SAR

Oscillators:

•RSI: Relative Strength Index (6, 12, 24 periods)
•KDJ: Stochastic Oscillator (9, 3, 3)
•CCI: Commodity Channel Index (14)
•BIAS: Deviation Rate
•WR: Williams %R

Volume Indicators:

•VOL: Volume
•OBV: On-Balance Volume
•VR: Volume Ratio
•EMV: Ease of Movement

Momentum Indicators:

•MOM: Momentum
•ROC: Rate of Change
•ARBR: Altitude Ratio
•CR: Capability Ratio

Custom Indicators:

•Price Momentum: Price change over N periods
•Volume Momentum: Volume change over N periods
•Composite Score: Weighted combination of indicators

Step 4: Calculate Model Scores

Use scoring algorithm from scripts/scoring.py:

Score Components:

•
Trend Score (40% weight)
- •MA alignment (bullish/bearish)
- •MACD signal (golden cross/death cross)
- •BOLL position (upper/middle/lower band)
- •Price trend (uptrend/downtrend/sideways)
•
Momentum Score (30% weight)
- •RSI level (overbought/oversold)
- •KDJ J-value (momentum strength)
- •MOM trend
- •ROC trend
•
Money Flow Score (20% weight)
- •OBV trend (inflow/outflow)
- •Volume change
- •Main fund flow estimation
- •Turnover rate
•
Sentiment Score (10% weight)
- •Consecutive up/down days
- •Amplitude (volatility)
- •Recent performance
- •Market sentiment estimate

Scoring Scale:

•90-100: Strong Buy 🟢🟢
•80-90: Buy 🟢
•60-80: Hold 🟡
•40-60: Watch 🟡
•0-40: Sell 🔴

Step 5: Generate Visualization

Create charts using scripts/visualize.py:

Chart Types:

•K-line with MA: Candlestick + moving averages
•K-line with BOLL: Candlestick + Bollinger bands
•MACD: MACD, DIF, DEA, histogram
•KDJ: K, D, J lines
•RSI: RSI with overbought/oversold zones
•Volume: Volume bar chart
•Composite: Multi-panel dashboard

Save charts to:

•assets/charts/ directory
•PNG format for static charts
•Interactive HTML for Plotly (optional)

Step 6: Generate Report

Create Markdown report using template from examples/:

Report Sections:

•Basic Information (stock code, name, date, period)
•Composite Score Summary
•Technical Indicator Analysis (by category)
•Trading Recommendations (short/medium/long term)
•Risk Warnings
•Charts (embed images or links)

Step 7: Output Results

•Save report to workspace: stock_analysis_<code>_<date>.md
•Display summary in chat
•Provide chart paths
•Offer further analysis options

Context Files

The skill uses these context files:

STOCK_SETTINGS.md

markdown

# Stock Analysis Settings

## Default Period
60 days

## Indicator Preferences
# Primary indicators to show

## Scoring Weights
trend: 0.4
momentum: 0.3
money_flow: 0.2
sentiment: 0.1

## Chart Style
theme: light
width: 1200
height: 600

STOCK_PREFERENCES.md

markdown

# User Preferences

## Favorite Stocks
# List frequently analyzed stocks

## Default Output Format
markdown

## Notification Threshold
score: 80  # Alert when score > 80

Technical Indicators Reference

Complete Indicator List

Trend Indicators (趋势指标):

•MA (Moving Average): 5, 10, 20, 30, 60, 120日
•EMA (Exponential MA): 12, 26日
•BOLL (Bollinger Bands): 20日, 2倍标准差
•MACD (12, 26, 9): DIF, DEA, MACD柱
•SAR (Parabolic SAR): 抛物线转向

Oscillators (震荡指标):

•RSI (Relative Strength Index): 6, 12, 24日
•KDJ (9, 3, 3): K, D, J值
•CCI (Commodity Channel Index): 14日
•BIAS (乖离率): 6, 12, 24日
•WR (Williams %R): 14日
•OSC (Oscillator): 10日

Volume Indicators (量能指标):

•VOL (Volume): 成交量
•OBV (On-Balance Volume): 能量潮
•VR (Volume Ratio): 成交量比率
•EMV (Ease of Movement): 简易波动指标
•Turnover: 换手率

Momentum Indicators (动量指标):

•MOM (Momentum): 动量
•ROC (Rate of Change): 变化率
•ARBR (Altitude Ratio): 人气意愿指标
•CR (Capability Ratio): 能力指标

Pattern Recognition (形态识别):

•Golden Cross (金叉): MA上穿
•Death Cross (死叉): MA下穿
•MACD Golden Cross: DIF上穿DEA
•MACD Death Cross: DIF下穿DEA
•BOLL Breakout: 股价突破布林带

Scripts Usage

scripts/fetch_data.py

Fetch stock data from AkShare:

bash

python3 scripts/fetch_data.py --code 600519 --period 60 --adjust qfq

scripts/indicators.py

Calculate all technical indicators:

bash

python3 scripts/indicators.py --input data.csv --output indicators.csv

scripts/scoring.py

Calculate composite score:

bash

python3 scripts/scoring.py --input indicators.csv

scripts/visualize.py

Generate charts:

bash

python3 scripts/visualize.py --input data.csv --charts kline,macd,kdj --output charts/

Report Template

markdown

# 股票分析报告

## 基本信息
- **股票代码:** 600519
- **股票名称:** 贵州茅台
- **分析日期:** 2026-02-04
- **分析周期:** 近 60 个交易日
- **当前价格:** 1780.50元

## 综合评分

| 维度 | 分数 | 权重 | 状态 | 等级 |
|------|------|------|------|------|
| 趋势 | 85/100 | 40% | 🟢 偏强 | 买入 |
| 动量 | 72/100 | 30% | 🟡 中性 | 观望 |
| 资金面 | 90/100 | 20% | 🟢 流入 | 买入 |
| 情绪 | 65/100 | 10% | 🟡 中性 | 观望 |
| **综合** | **79/100** | **-** | **🟡 持有** | **观望** |

## 技术指标分析

### 趋势指标

#### 移动平均线 (MA)
| MA | 价格 | 趋势 | 信号 |
|----|------|------|------|
| MA5 | 1785.30 | ↑ | 短期偏强 |
| MA10 | 1778.50 | ↑ | 短期偏强 |
| MA20 | 1765.20 | ↑ | 中期偏强 |
| MA60 | 1740.80 | ↑ | 中期偏强 |

**分析:** 呈多头排列，短期均线向上突破长期均线，趋势偏强。

#### MACD (12, 26, 9)
- **DIF:** 12.50
- **DEA:** 10.20
- **MACD:** 2.30
- **信号:** 🟢 金叉

**分析:** DIF上穿DEA形成金叉，偏多头信号。

#### 布林带 (BOLL 20, 2)
- **中轨:** 1768.50
- **上轨:** 1820.30
- **下轨:** 1716.70
- **当前价:** 1780.50
- **位置:** 🟡 接近上轨

**分析:** 股价在中轨和上轨之间，偏强势，但接近上轨需注意回调风险。

### 震荡指标

#### RSI (相对强弱指标)
| RSI6 | RSI12 | RSI24 | 状态 |
|------|-------|-------|------|
| 68 | 62 | 58 | 🟡 中性偏强 |

**分析:** RSI值在50-70之间，属于正常偏强区域，未进入超买。

#### KDJ (9, 3, 3)
- **K值:** 75
- **D值:** 70
- **J值:** 85
- **状态:** 🟢 偏强

**分析:** J值>80，短期动量较强，但需注意超买风险。

### 量能指标

#### 成交量 & 换手率
- **最近5日均量:** 5.2万手
- **今日成交量:** 6.8万手
- **换手率:** 0.68%
- **趋势:** 🟢 放量

**分析:** 今日放量上涨，资金关注度较高。

#### OBV (能量潮)
- **OBV趋势:** 🟢 上升
- **变化:** +120万
- **分析:** 资金持续流入。

## 操作建议

### 短期 (1-5天)
**建议:** 🟡 **观望**
- 技术指标偏强但接近短期高点
- 可等待回调至MA10附近择机介入

### 中期 (5-20天)
**建议:** 🟢 **逢低买入**
- 中期趋势向上
- 支撑位在MA20(1765元)附近
- 可在回调时分批建仓

### 长期 (20天以上)
**建议:** 🟢 **持有可能**
- 中长期趋势完好
- 基本面稳健
- 适合长期持有

## 风险提示

1. ⚠️ 近期涨幅较大，短期面临回调压力
2. ⚠️ RSI和KDJ显示短期超买风险
3. ⚠️ 接近布林带上轨，需注意阻力位
4. ⚠️ 关注成交量变化，缩量上涨需谨慎

## 关键点位
- **支撑位:** 1765元(MA20), 1740元(MA60)
- **阻力位:** 1820元(BOLL上轨), 1850元(前期高点)
- **止损位:** 1740元(MA60)
- **止盈位:** 1850元(前期高点)

## 图表

### K线图 + MA
![K线图](charts/kline_ma_600519.png)

### MACD
![MACD](charts/macd_600519.png)

### KDJ
![KDJ](charts/kdj_600519.png)

### RSI
![RSI](charts/rsi_600519.png)

### 布林带
![布林带](charts/boll_600519.png)

---

*分析生成时间: 2026-02-04 21:30*
*数据来源: AkShare*

Error Handling

AkShare API Errors

code

If API call fails:
  1. Check network connection
  2. Wait 3 seconds and retry
  3. Try alternative data source if available
  4. Inform user of the issue

Data Quality Issues

code

If data has missing values:
  1. Fill or interpolate missing data
  2. Verify sufficient data for indicators (need at least 60 days)
  3. Flag questionable data points
  4. Proceed with available data

Indicator Calculation Errors

code

If indicator calculation fails:
  1. Check input data format
  2. Verify required parameters
  3. Use fallback calculation method
  4. Skip problematic indicator and continue

Configuration

Environment Variables (Optional)

bash

export AKSHARE_DEFAULT_PERIOD="60"
export AKSHARE_DEFAULT_ADJUST="qfq"
export AKSHARE_CHART_THEME="light"
export AKSAVE_CHARTS="true"

Config File (Optional)

config.json in skill directory:

json

{
  "default_period": 60,
  "default_adjust": "qfq",
  "chart_theme": "light",
  "chart_width": 1200,
  "chart_height": 600,
  "save_charts": true,
  "chart_dir": "assets/charts/"
}

Advanced Features

Custom Indicator Weights

Users can customize scoring weights:

python

weights = {
    'trend': 0.5,      # Increase trend weight
    'momentum': 0.3,
    'money_flow': 0.15,  # Decrease money flow weight
    'sentiment': 0.05   # Decrease sentiment weight
}

Multi-Stock Comparison

Compare multiple stocks side-by-side:

bash

python3 scripts/compare.py --codes 600519,000858,000568 --period 60

Backtesting

Test trading strategies:

bash

python3 scripts/backtest.py --code 600519 --strategy golden_cross --period 180

Best Practices

•Use Adjusted Prices: Always use forward-adjusted prices (qfq) for accuracy
•Validate Data: Check for anomalies and missing values before analysis
•Multiple Timeframes: Analyze different periods (short/medium/long term)
•Combine Indicators: Don't rely on a single indicator
•Context Matters: Consider market conditions and news
•Risk Management: Always set stop-loss levels

Examples

Example 1: Single Stock Analysis

code

User: "分析一下 600547 山东黄金最近 60 天的走势"

Agent Process:
1. Fetch data: Get 600547 data for 60 days
2. Calculate indicators: MA, MACD, KDJ, RSI, BOLL, OBV, etc.
3. Calculate scores: Trend 85, Momentum 72, Money Flow 90, Sentiment 65
4. Generate charts: K-line, MACD, KDJ, RSI, BOLL
5. Create report: Comprehensive Markdown report
6. Output: Display summary and save report

Result:
- Comprehensive score: 79/100 (Hold)
- Short-term: Watch
- Medium-term: Buy on dips
- Long-term: Hold

Example 2: Multi-Stock Comparison

code

User: "对比分析 贵州茅台、五粮液、泸州老窖"

Agent Process:
1. Fetch data for all 3 stocks
2. Calculate indicators and scores for each
3. Generate comparison table
4. Create comparison charts
5. Output comparison report

Result:
| 股票 | 综合评分 | 趋势 | 动量 | 资金 | 建议 |
|------|----------|------|------|------|------|
| 贵州茅台 | 79 | 85 | 72 | 90 | 🟡 观望 |
| 五粮液 | 72 | 78 | 65 | 68 | 🟡 观望 |
| 泸州老窖 | 85 | 88 | 82 | 85 | 🟢 买入 |

Example 3: Indicator Query

code

User: "600519 的 MACD 和 KDJ 是什么状态？"

Agent:
1. Fetch 600519 data
2. Calculate MACD and KDJ
3. Interpret signals
4. Provide concise analysis

Result:
- MACD: DIF(12.50) > DEA(10.20), 金叉信号 🟢
- KDJ: K(75) > D(70), J(85) > 80, 偏强 🟢
- 建议: 短期偏强，但需注意超买风险

Limitations

•Historical data only, no real-time tick data
•Technical analysis doesn't guarantee future performance
•Requires at least 60 days of data for reliable indicators
•Depends on AkShare API availability
•Doesn't include fundamental analysis

Resources

•AkShare Docs: https://akshare.akfamily.xyz/
•Technical Analysis Guide: See references/technical-analysis.md
•Indicator Reference: See references/indicators-guide.md

Related Skills

•akshare: Chinese financial data interface
•coding-agent: For Python script development
•obsidian: For storing analysis reports

Notes

•All indicators use standard calculation methods
•Back-adjusted prices (qfq) ensure accuracy
•Scoring model is based on widely-used technical analysis principles
•Charts are saved to assets/charts/ directory
•Reports are saved in Markdown format for easy viewing