NSE Academy's Program on Applications of Python in Trading & Investing | Understand Market Analysis & Formulate Strategies | Starts on 16th March - Register Now!

[Technical Analysis]( BQ8EXgICWx0BSUARCEtCEFcLVFNeAk9YDwoJdQJYWVENS1BaWx1P&ml=BwUEX0oAH1gFDEg=&sl=dEt3Gn9+HzJ9YUgNEl1XAVcCU19LBV0fG1dUWARcVBYIC08F&pp=0&fl=XkNAFkUKTE5CT0RNCFcZDhk+dEZaU2BoAw==&ext=) About Python for Trading & Investing Python for Trading & Investing program covers the practical uses of Python, like analyzing data and stock market trading. Participants will learn how to install Python, use a code editor, and execute Python commands Eligibilty For individuals interested in enrolling for the Python course for beginners, it is advisable to have a basic understanding of stock market and investment principles, as well as a basic knowledge of Technical Analysis. This program caters to a wide range of Python proficiency levels, including those who have no prior experience in Python. The course primarily emphasizes analysis and strategy concepts related to long-term investments, short-term investments, short-term trading, and passive investment approaches. Course Features [Course Features] Course Content - Python Working Environment - Jupyter notebook - Introduction to Python with history, Python features - Installation of Jupyter notebook, creating python environment on Windows OS, python commands. - Programming Basics: keywords, syntax, variables. - Operators: logical operators, comparison operators, mathematical operators - Concepts: Conditional (if-else), string operations, array, loops, functions and file I/O - Data collections: Pandas data frames, dictionary, arrays. - Main Data Analysis - How to import / export financial data from a file (file I/O) - Exploratory data analysis - Customized Charts - Libraries: NumPy, Technical indicators - News feed in Python. - Backtesting in Python. - Sample project. Program Schedule [Program Schedule] BQ8EXgICWx0BSUARCEtCEFcLVFNeAk9YDwoJdQJYWVENS1BaWx1P&ml=BwUEX0oAH1MAAQQf&sl=dEt3Gn9+HzJ9YUgNEl1XAVcCU19LBV0fG1dUWARcVBYIC08F&pp=0&fl=XkNAFkUKTE5eRlECE1teC0ADRRxcFV1YD1ZYVEtWV1VOElZXGRJaQAQQGwBWVVZAChZMV1oKUhEXUVZUBB9VUhkGAgtXQjwgQEVYCgJZQgtZCBMAAgleFFMCYUwRXVdWRFcDXFhEAQQVEVUAWl1QEFRSRRQBVl4MTgYVEllcAk9GU1I=&ext= BQ8EXgICWx0BSUARCEtCEFcLVFNeAk9YDwoJdQJYWVENS1BaWx1P&ml=BwUEX0oAH1gFDEg=&sl=dEt3Gn9+HzJ9YUgNEl1XAVcCU19LBV0fG1dUWARcVBYIC08F&pp=0&fl=XkNAFkUKTE5CT0RNCFcZDhk+dEZaU2BoAw==&ext= For further assistance call [Madhu: +91 9342596944](tel:+919342596944) | [Lalita: +91 9967741519](tel:+918454094046) [Email id: gen_pdp@nse.co.in](mailto:gen_pdp@nse.co.in) Click here to [opt-out]( BQ8EXgICWx0BSUARCEtCEFcLVFNeAk9YDwoJdQJYWVENS1BaWx1P&ml=BwUEX0oAH1MBBgcf&sl=dEthGn9+HzJ9YUgNEl1XAVcCU19LBV0fG1dUWARcVBYIC08F&pp=0&fl=XkNAFgwfTA9DUFUAAFxTD08FUxxIA11cAFtdGwxbF1YSAFJWVwVWWRgAUUs=&ext=cD1zbXVuc3ViJm1pZD0xMjA5JnVpZD1bVU5JUUlEXQ==)