Developed a comprehensive program to analyze stock market data, applying statistical methods, time-series analysis, and pattern detection to identify market trends and anomalies for 10+ financial instruments. Built with Python and Streamlit for interactive visualization.
Data acquisition from Refinitiv LSEG WorkSpace
Time-series decomposition and trend analysis
Statistical pattern recognition algorithms
Anomaly detection using statistical thresholds
Interactive dashboard development with Streamlit
Backtesting and validation of identified patterns
Successfully analyzed 10+ financial instruments
Identified key market trends and patterns
Built interactive visualization dashboard
Academic recognition for methodology and results
If you want to know more or discuss similar projects, feel free to contact me