Systematic Trading - Quant Research and Algorithmic Trading

Syllabus

Go Quant: From Strategy Research to Automated Execution ⚙️📈 — Build Data Pipelines, Backtest in Python, and Deploy with MQL5 for Seamless Trading..

  1. Strategy Research (Knowledge of jupyter notebook, and python needed here)
    • Introduction to python
    • Data Pipeline
    • Strategy research, development and backtesting frameworks
    • Robustness testing
    • Strategy execution
  2. Demo (simple SMA cross-over strategy MQL5)
Activity
  1. Build and deploy your own expert adviser (EA)
Accomplishment
  1. Another certificate here for basic quant mastery if student builds and deploys their own MT5 EA following a comprehensive strategy research.