Algorithmic Trading Strategy Development and Backtesting

By Zafri Categories: Finance, Fintech
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

  • Tools & Languages: Python, R, QuantConnect, MetaTrader, Pandas, NumPy, Scikit-learn
  • Objective: Develop a high-frequency trading (HFT) algorithm for equity markets based on machine learning models. Use Python or R to design, backtest, and optimize the trading strategy. Integrate with platforms like QuantConnect for execution and analysis. Track performance with real-time data and optimize the model.
  • Skills Needed: Algorithmic trading, quantitative analysis, financial time series analysis, machine learning, backtesting (QuantConnect, MetaTrader), trading execution.

Student Ratings & Reviews

No Review Yet
No Review Yet