Stock Market Data Analysis - Technical Analysis - Python

This repository contains a Python-based analysis tool to download, analyze, and visualize stock data from the Swedish stock exchange (OMX Stockholm). It uses various technical indicators and produces financial visualizations and plots.

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Features

• Automatic data download using yfinance
• Calculation of 30+ technical indicators using TA-Lib
• Multiple plotting sets to visualize moving averages, RSI, MACD, Bollinger Bands, Ichimoku Cloud, and more
• Candlestick charting with pattern detection (e.g., Hammer, Doji, Engulfing)
• Automatic saving of plots and CSV exports for further analysis

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Dependencies

The following libraries are required:

pandas
numpy
matplotlib
yfinance
talib
mplfinance

Install them with:

pip install -r requirements.txt

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Folder Structure

Stock_Market/
├── data/
│   └── selected/
│       ├── plots_YYYY-MM-DD/
│       │   └── [PNG plots for each stock]
│       └── stock_data_combined_YYYY-MM-DD.csv
├── StockMarket_DataAnalysis.py
├── requirements.txt
└── README.md

Ensure the folder data/selected exists or is auto-created when you run the script.

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Getting a List of Valid Tickers

To run this script, you need valid ticker symbols from the stock markets.

Options to Get Ticker Symbols:

1. Use Yahoo Finance
   Go to https://finance.yahoo.com/lookup, select country as Sweden, and note down ticker symbols ending with .ST (e.g., HEM.ST, INDT.ST, VOLV-B.ST).

2. OMX Stockholm Indexes
   Commonly tracked indices:

   • OMXS30: Top 30 companies (e.g., ABB.ST, ERIC-B.ST, VOLV-B.ST)
   • Mid & small caps: Available on Nasdaq Nordic Market

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Example Plots

Below are example plots generated on 2025-04-08 (from selected/plots_2025-04-08):

1. Price and Moving Averages

2. RSI and MACD

3. Ichimoku Cloud

4. Volume and OBV

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How to Use

1. Clone the repository:

git clone https://github.com/sanjiv856/stock-market-technical-analysis.git
cd stock-market-technical-analysis

2. Install dependencies:

pip install -r requirements.txt

3. Run the script:

StockMarket_DataAnalysis.py

The script will:

• Download 180 days (changes as per the requirement in the script) of historical daily data for selected Swedish tickers
• Calculate technical indicators
• Generate and save 6 sets of plots per ticker
• Export a combined CSV dataset

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Tickers Used (Sample)

tickers_sweden = ['HEM.ST', 'INDT.ST', 'BERG-B.ST']

You can update this list inside the script with your own selection of OMX Stockholm tickers.

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Technical Indicators Used

Trend:

• SMA, EMA
• Bollinger Bands
• Ichimoku Cloud
• Parabolic SAR

Momentum:

• RSI, MACD
• Stochastic, CCI, CMO
• ROC, TRIX, ULTOSC, WILLR

Volume:

• OBV, AD Line
• Chaikin Money Flow (CMF)
• Volume Price Trend (VPT)
• Volume SMA

Volatility:

• ATR, NATR, TRANGE

Candlestick Patterns:

• Hammer, Doji, Engulfing, Morning/Evening Star, Shooting Star

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Disclaimer

This project is intended for educational and exploratory purposes only.
It is not investment advice. Stock market trading involves risk.
Please use your own judgment and consult a financial advisor before making investment decisions.

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Contact

For queries, suggestions, or bug reports, feel free to open an issue or contact [[email protected]].

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License

This project is open-source and available under the MIT License.