Packt Publishing – Financial Modeling for Algorithmic Trading using Python

This course will teach you how to do financial valuations, create algorithmic trading bots, trade stocks, and other financial analysis.

Packt Publishing – Financial Modeling for Algorithmic Trading using Python

A Learning Path is a course that combines two or more topics to help you reach a specific goal. The selection of assets takes a lot of thought. for A Learning Path refers to a thorough understanding of the requirements in order to reach a goal.

Finance has made technology an asset. Among the hottest programming languages, you’ll find Python Technology of choice for Finance. Finance is adopting increasingly. Python for general-Purpose programming and quantitative analysis. This includes understanding trading dynamics and building financial machine-learning models.

This carefully thought-out Learning Path teaches you how to use the Kindle. Python for Perform financial analysis and modeling in a single day-To-daily basis. Start with an introduction Python You will be able to learn the basics of Finance through its third-party libraries. Python. You’ll also be able to perform valuations, line regressions, Monte Carlo simulations and other calculations. for Analyzing basic models

Download immediately Packt Publishing – Financial Modeling for Algorithmic Trading using Python

Once you’re comfortable analysing models, PythonYou will be able to apply these skills to analyze machine-learning models. for Your financial data. Learn how to make machine learning models, trading algorithms and trade strategies that match your trade. A trading bot will also be taught. for Fully automated trading solutions for your trade. Next, learn how to assess the models for Value at risk using Machine learning techniques

Once you have mastered machine learning, it is time to learn deep learning techniques for Financial Forecasting and predicting Forex currency rates, looking into financial loans approval, fraud detection, forecasting stock prices.

This course will teach you how to do financial valuations, create algorithmic trading bots, stock trading, and financial analysis in various areas of finance.

The Key Features

Get hands-Continue reading for financial forecasting using Machine learning with PythonKeras, scikit-Learn and Pandas

Use libraries like Numpy or Pandas, Scipy or Matplotlib for Data manipulation, analysis and visualization

Monte Carlo Simulation and Value at Risk are easy to use.

Grasp Machine Learning Forecasting for a Specific Real-Financial data around the world

Author Bios

Matthew Macarty has taught undergraduate and graduate business school students. for He has been teaching at Bentley University for over 15 years. He has taught statistics, quantitative methods and database design courses.

Mustafa Qamar-ud-Din is a machine intelligence engineer with more 10 years experience in the industry of software development. He is an expert in image processing, deep learning, and machine learning. He worked in many startups and knows the dynamics and challenges of agile methodologies. He also knows what the recruiters look for in terms of professional skills. for When hiring.

Jakub Konczyk enjoys programming and has been doing so professionally since 1995. He is an a. Python Django specialist and an expert in Django, he has been involved in the development of complex systems since 2006. He loves to simplify programming and teach it to others. Machine Learning was first discovered by him in an early stage startup he was involved with. He was trying to predict real estate prices. He failed spectacularly. He discovered a more practical way of learning Machine Learning, which he is happy to share with you in this course. The bottom line is this: “Keep it simple!” mantra.

Who are these people? for:

This course is excellent for aspiring data scientists, Python Anyone who wishes to get into quantitative finance, developers or not using Python. You can also do this beginner-level guide your first choice if you’re looking to pursue a career as a financial analyst or a data analyst.

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