Anadu Francis Chinedu

About

Petroleum Engineering graduate and independent forex trader with a strong interest in financial markets, investment research and data analysis. I use Python, pandas, NumPy, Plotly and Streamlit to analyse financial data, test trading strategies and build interactive market dashboards. My projects include a cross-sectional momentum strategy, portfolio optimisation, a dual-SMA backtest covering more than 500 stocks, and FTSE 100 and multi-asset dashboards. I have practical experience analysing currency markets using technical, fundamental and macroeconomic information while applying disciplined position sizing and risk management. I am currently seeking remote internships and entry-level opportunities in financial analysis, investment research, market research, trading analysis and financial data analysis. I am detail-oriented, comfortable working independently and eager to learn from an experienced team. Portfolio: https://github.com/francis-alphalab LinkedIn: https://www.linkedin.com/in/anadu-francis-a559ba145/

Experience

• Independent Forex Trader
  Self-Employed
  Aug 2022 – Present

  Analyze currency markets using technical, fundamental and macroeconomic inputs across major and minor FX pairs. Apply position sizing, stop-losses and exposure limits. Monitor central-bank decisions, economic releases and market news. Use Python and pandas to research market data and test rules-based strategies.

• Poultry Business Owner
  Self-Employed
  Jul 2019 – Jul 2022

  Managed daily operations, costs, inventory, record-keeping and business decisions under changing market conditions.

Education

• Bachelor of Science
  University of Port Harcourt
  Petroleum Engineering · 2016 – 2022

Skills

• Data Visualization
• Market research
• Risk Management
• Python
• Stock Trading
• Financial Analysis
• Investment Research
• Portfolio Analysis
• Fundamental Analysis

Projects

• Cross-Sectional Momentum Strategy ↗
  Python, pandas, Jupyter Notebook

  Analyzes S&P 500 stocks using cross-sectional momentum signals and ranks assets for systematic portfolio selection.

• Portfolio Optimization ↗
  Python, pandas, NumPy, Jupyter Notebook

  Builds and evaluates mean-variance portfolios using train-and-test analysis to compare risk and return.

• Dual SMA Backtest ↗
  Python, pandas, Jupyter Notebook

  Compares iterative and vectorized dual moving-average backtests across 501 stocks.

Courses & certifications

• Algorithmic Trading with Python ↗ · Udemy · 2026