Financial Modeling for Algorithmic Trading using Python

Video Learning Path Overview

A Learning Path is a specially tailored course that brings together two or more different topics that lead you to achieve an end goal. Much thought goes into the selection of the assets for a Learning Path, and this is done through a complete understanding of the requirements to achieve a goal.

Technology has become an asset in finance. Among the hottest programming languages, you’ll find Python becoming the technology of choice for Finance. The financial industry is increasingly adopting Python for general–purpose programming and quantitative analysis, ranging from understanding trading dynamics to building financial machine learning models.

This well thought out Learning Path takes a step by step approach to teach you how to use Python for performing financial analysis and modeling on a day–to–day basis. Beginning with an introduction to Python and its third party libraries, you will learn how to apply basics of Finance such as Time Value of Money and time series in Python. You will also perform valuations, linear regressions, and Monte Carlo simulation for analyzing some basic models.

Once you are comfortable in analyzing models with Python, you will learn to practically apply them to analyze machine learning models for your own financial data. You will then learn how to build machine learning models and trading algorithms as per your trade. You will also learn to build a trading bot for providing fully automated trading solutions to your trade. Next, you will learn to evaluate the models for value at risk using machine learning techniques.