SET Technical Analysis

This repository provides a simple tool (SET_Analysis_Tool.ipynb) for analyzing stock data from the Stock Exchange of Thailand (SET). It focuses on key technical indicators and visualizations for clear insights.

Features

• Data: Retrieves stock data via yfinance or loads from a Feather file (tickers_data_020468.feather).
• Indicators: Calculates EMA (20, 50, 100, 150, 200), RSI, ADX, and Wavetrend.
• Volume Analysis: Categorizes stocks by volume (small, medium, large).
• Visualizations: Generates clean plots for EMAs, RSI, ADX, Wavetrend, and EMA value distributions.
• Strength Categorization: Classifies stocks as Weak, Moderate, or Strong based on EMA ratios.

Dependencies

• yfinance
• pandas
• pandas_ta
• numpy
• matplotlib
• seaborn

Usage

1. Clone:

   git clone https://github.com/Odzbd/SET-TechIndicator-Analysis.git
   cd SET-TechIndicator-Analysis

2. Install:

   pip install yfinance pandas pandas_ta numpy matplotlib seaborn

3. Run:

   jupyter notebook SET_Analysis_Tool.ipynb

4. Data:

   • Use tickers_020468.txt for live data from Yahoo Finance.
   • Or, use tickers_data_020468.feather for faster loading.

5. Analyze:

   • Execute notebook cells for analysis and visualizations.

Files

• SET_Analysis_Tool.ipynb: Analysis notebook.
• tickers_020468.txt: (Optional) Stock ticker list.
• tickers_data_020468.feather: (Optional) Pre-loaded data.

Visuals

• EMA: Trends across stock groups.
• RSI: Overbought/oversold levels.
• ADX: Trend strength.
• Wavetrend: Momentum shifts.
• EMA Distribution: Stock strength overview.
• Volume Groups: Performance by volume.
• Strength Pie: Stock category breakdown.

Author

Odzbd