Computer Science graduate interested in quantitative finance, systematic trading, financial data analysis, and algorithmic trading research.
I am focused on developing skills in quantitative research by combining programming, mathematics, statistics, and financial market analysis.
My current focus areas include:
- Quantitative Research
- Algorithmic Trading
- Systematic Trading Strategies
- Financial Data Analysis
- Backtesting Methodology
- Risk Modelling
I use Python and MQL5 to develop trading research workflows and explore systematic approaches to financial markets.
- Python
- C++
- Java
- MQL5
- NumPy
- Pandas
- Microsoft Excel
- Statistical Analysis
- Time-Series Analysis
- MetaTrader 4/5
- TradingView
- Algorithmic Trading
- Market Microstructure
- Financial Modelling
- Derivatives Pricing
- Portfolio Optimisation
- Risk Management
- Systematic Trading Research
Building knowledge and projects in:
- Quantitative finance
- Market data analysis
- Trading strategy research
- Backtesting frameworks
- Risk evaluation
Planned research projects:
- XAUUSD Quantitative Research
- EURUSD Strategy Research
- Market Data Analysis Pipeline
- Portfolio Risk Engine
LinkedIn: https://www.linkedin.com/in/rushikesh-chaudhari-cr47/