This project is a personal experiment to extract daily stock data from the Colombo Stock Exchange (CSE) website and convert it into a format compatible with MetaStock, a popular technical analysis platform.
Since the CSE doesn't offer a free data stream, this scraper was built to bridge that gap — enabling offline charting, pattern analysis, and historical trend visualization directly within MetaStock.
- Scrapes daily stock data from the official Colombo Stock Exchange site
- Parses and formats the data into MetaStock-compatible structure
- Feeds the data into MetaStock for analysis
- Used for learning pattern recognition, price action, and buy/sell signal validation
⚠️ Disclaimer: This project was intended as a technical and educational exercise. While the tool enabled me to visualize data and detect patterns, it was not used for consistent or successful trading.
At the time, I was exploring technical analysis and wanted to understand Sri Lankan equities better. MetaStock seemed like a good fit, but lacked a free feed for CSE data — so I built my own. This project gave me hands-on experience with:
- Web scraping and data sanitization
- Data formatting for financial systems
- Using charting tools to identify potential trading signals
- Java for scraping and transformation
- Custom formatting logic for MetaStock integration
MetaStock-ready output files are generated in the format required for import into the software. These files can be batch imported to visualize price movement and historical patterns.
- The importance of clean, structured data in financial modeling
- Challenges of working with unofficial or unstructured web sources
- How technical tools like MetaStock interpret and visualize market data