We offer a course called “Algorithmic Trading & Computational Finance using Python” that will help students learn how to use Python in the real world for trading a variety of asset classes.You will learn how to use Python for Algorithmic Trading in this course. The course will teach students how to design trading engines supported by sophisticated data analytics and how to establish real-time strategies. Python gives students a quantitative advantage in advance capital markets, putting them one step ahead of their rivals.
Highlights of the Program
More than a hundred hours of instruction are required to develop complex data analytics algorithms for trading.
All set to go Techniques and a template featuring back testing
Learn about AI, machine learning, and high frequency trading from instructors with a wealth of trading expertise.
Course Schedule
- Using Python for Algorithmic Trading;
- Technical Trading;
- Using Python for Options Trading;
- Using Python for Grey Box and Black Box Trading
- Financial Computation Analysis.
- equity and fixed income Analytics
- Portfolio analytics & Risk management
Offering of Courses.
Total time: two to three months
Weekends are the batch kind.
Online and offline batch modes (exclusive to Mumbai)
Upon successful completion, NSE Academy and Trading Campus will jointly certify you digitally.
Cost of the course:
Python-based technical strategies cost INR 15,000; Python-based option strategies cost INR 15,000
Python-based technical and option strategies: INR 30,000
The fees listed above include taxes.There is also an option for installments.
Attend to receive a 30% annual discount on the OptionTrade Screener package.
Qualifications.
12th grade / graduation (fundamental understanding of coding)
Advantages.
All-inclusive Live Strategy Engine featuring backtesting functionality
The capacity to evaluate an algorithmic trading model’s effectiveness in a real-world setting
Proficiency in Python and R for Advanced Financial Data Analytics and Algo Trading
Verification of your proficiency and knowledge in algorithmic trading
Contact Details:
E: pramod.gamare@hotmail.com
M: +91 7559411986