stock-analysis

Individual Stock Analysis

Task Objective

• This Skill is used for: conducting comprehensive technical analysis on a specified stock, including real-time data acquisition, technical indicator calculation, support and resistance level analysis, and gap identification and analysis.
• Capabilities include: real-time quote acquisition, technical indicator calculation (moving averages, MACD, RSI), support and resistance level identification, gap identification (upward/downward gaps and their support/resistance effects), trend judgment, and future trend prediction.
• Trigger conditions: the user provides a stock code and requests trend analysis, future prediction, or trading recommendations.

Prerequisites

• Dependency description:

  requests>=2.28.0
  numpy>=1.24.0
  pandas>=2.0.0
  

Operation Steps

Standard Process

1. Obtain and verify the stock code

   • The user provides a stock code, such as: 000001 (Ping An Bank), sh600000 (Shanghai Pudong Development Bank), 000001.SZ (Shenzhen Stock Exchange format)
   • Refer to the stock code format documentation to ensure the code format is correct

2. Obtain real-time quote data

   • Call scripts/fetch_stock_data.py to obtain real-time quotes and historical K-line data
   • Parameters:
     • --stock_code: stock code
     • --days: number of days of historical data to obtain (default 30 days)
   • Returns include: current price, price change percentage, trading volume, and historical K-line data

3. Calculate technical indicators and support levels

   • Call scripts/analyze_stock.py for technical analysis
   • Parameters:
     • --data_file: the data file path obtained in the previous step
   • Calculation results:
     • MA5/MA10/MA20/MA60 moving averages
     • MACD indicator
     • RSI indicator
     • Support and resistance levels
     • Gap analysis(upward gaps and downward gaps)
     • Trading volume analysis
     • Trend judgment

4. Analyze the current trend

   • Conduct multi-dimensional analysis based on technical indicators:
     • Moving average alignment (bullish alignment/bearish alignment/tangled)
     • MACD golden cross and death cross status
     • RSI overbought and oversold status
     • Trading volume coordination
     • K-line pattern analysis
     • Gap analysis：
       • Upward gap: usually forms a support level (during a pullback, the upper edge of the gap may become support)
       • Downward gap: usually forms a resistance level (during a rebound, the lower edge of the gap may become resistance)
       • The impact of gap size and position on the trend

5. Predict the trend for the next 3 days

   • Based on comprehensive technical indicators and trend analysis, judge the trend for the next 3 days
   • Factors to consider: trend direction, support and resistance levels,gap support and resistance, trading volume changes, market sentiment
   • Provide probability assessments: the probability and strength of rise/fall/sideways movement

6. Generate trading recommendations

   • Based on the analysis results and predictions, provide clear operational recommendations:
     • Buy/Hold/Sell/Wait and see
     • Recommended buy/sell price range
     • Stop-loss and take-profit level settings
     • Operation tips related to gaps(e.g., an upward gap can serve as a support reference before it is filled)
     • Risk warnings and precautions

Resource Index

• Get data: see scripts/fetch_stock_data.py(Purpose: obtain real-time stock quotes and historical K-line data)
• Technical analysis: see scripts/analyze_stock.py(Purpose: calculate technical indicators and support/resistance levels)
• Code format: see references/stock_code_format.md(Purpose: reference for stock code format)

Precautions

• The stock market involves risks. All analyses are for reference only and do not constitute investment advice
• Technical analysis is based on historical data and cannot guarantee future performance
• It is recommended to make a comprehensive judgment in combination with fundamental analysis and the market environment
• Real-time data may be delayed; please refer to actual trading data
• Key points of gap analysis：
  • Upward gap (gap up at the open): usually may form support during a pullback; pay attention to whether the gap is filled
  • Downward gap (gap down at the open): usually may form pressure during a rebound; pay attention to whether the gap is filled
  • The larger the gap, the stronger its support or pressure effect usually is
  • Gaps accompanied by trading volume are more meaningful for reference
  • Recent gaps have higher reference value than distant gaps
• Risk warnings must be included in all recommendations

Usage Examples

Example 1: A-share stock analysis

用户：分析000001平安银行
执行：
1. 调用 fetch_stock_data.py --stock_code 000001 --days 30
2. 调用 analyze_stock.py --data_file stock_data_000001.json
3. 基于分析结果生成走势预测和操作建议

Example 2: Hong Kong stock analysis

用户：分析腾讯控股 00700.HK
执行：
1. 调用 fetch_stock_data.py --stock_code 00700.HK --days 30
2. 调用 analyze_stock.py --data_file stock_data_00700.HK.json
3. 生成分析报告和操作建议

Example 3: U.S. stock analysis

用户：分析AAPL苹果公司
执行：
1. 调用 fetch_stock_data.py --stock_code AAPL --days 30
2. 调用 analyze_stock.py --data_file stock_data_AAPL.json
3. 提供全面的技术分析报告