Financial Analysis And Algorithmic Trading Using Python

by National Institute of Bank Management Claim Listing

Globally, Python is fast emerging as the programming language of choice for the banking and financial sector. Python, developed under an OSI-approved open source license, is a powerful yet easy to learn programming language.

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Globally, Python is fast emerging as the programming language of choice for the banking and financial sector. Python, developed under an OSI-approved open source license, is a powerful yet easy to learn programming language.

It is especially useful for complex financial analysis, which explains its increased use by the banking and financial sector. In this programme, we focus on the use of Python for basic financial analysis and algorithmic trading.

In financial analysis using Python, we cover the handling and visualization of financial market data as well as portfolio optimization and basic time series modelling. The generation of buy or sell signals based on a set of instructions to the computing system is algorithmic trading. With the markets becoming more and more volatile post-pandemic, the importance of back testing of trading strategies cannot be overemphasized. This programme focuses on the back testing of trading strategies using Python and its application in algorithmic trading.

 

 

  • Pune Branch

    National Institute of Bank Management NIBM Post Office, Pune

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