Algorithmic Trading Essentials
About This Course
Learners will be able to explore further key components of algorithmic trading with evolution of algorithmic trading in modern finance.
Learners will have a strong foundation in Python programming and can leverage programming skills in doing research, data analysis on historical data of stocks, index, ETF, commodities, etc.
Learners will be able to handle large historical and live data, understand charts, patterns, how to do technical analysis, how to do fundamental analysis, and using both analyses how to do layout trading and investment strategies.
Learners will be able to perform backtesting in Python having one or multiple trading or investments strategies. Furthermore, they will also be able to optimize trading strategies results by using various metrics of backtesting.
Learners will be able to automate the process of risk management, order management with allocation techniques through python programming, which will ensure protection to their capital in a better way without any emotions and will eliminate any indiscipline approach.
Learners will be able to understand derivatives markets, types of options trading strategies, how to program multiple options trading strategies and let the algo software run without any need to sit in front of trading terminal.
Learners will be able to implement trading strategy using fundamentals and technical indicators both in python programming language in backtest and in live simulated environment.
What You'll Learn
This course is designed to provide you with a comprehensive understanding of algorithmic trading, from its foundational principles to advanced strategies and hands-on implementation.
Entry Requirements
• Basic knowledge and some working experience on the use and application of the Python programming language
• Good understanding of and some exposure of the equity and stock markets