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Data science for algorithmic trading 2022 | Udemy

Data science for algorithmic trading Coupon / Udemy For tow days completely 100% Free during everything you want to know We will create an algorithmic trading strategy that earns 50% annually.

This course is written by the very popular author from Udemy Data World The most recent update was 5/2020. The language of this course is English, but also have sub-titles (captions) in English [US] languages to better understand. This course is shared under the categories Finance & Accounting, Financial Modeling & Analysis, Algorithmic Trading.

More than 12,059 students had already enrolled. in the Data science for algorithmic trading Coupon / Udemy Which makes it one of the more popular courses on Udemy. You can free coupon Code the course from the registration link below. It has a rating of 4.0 given by  (42 ratings), which also makes it one of the highest rated courses at Udemy. 

The Udemy Data science for algorithmic trading free coupons also 3 hours on demand video, 15 articles, 10 downloadable, resources, full lifetime, access on mobile and television, assignments, completion certificate and many more.

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Is this course right for you?

If you are wondering what you will learn or what things this best Udemy courses  will teach you after getting courses Udemy free coupon. Learn Data science for algorithmic trading: Okay, here are a few things.

• Everyone

Requirements Course:

1. No knowledge required
2. Programming knowledge in python is advantageous
3. Statistics and algebra is a advantageous

Description Course:

It is with pride that I offer this data science course for algorithmic trading. It is the fruit of several years of work in the field to truly understand all the subtleties of the world of quantitative finance.

Using libraries will allow you to do complex mathematical calculations applied to finance in just a few lines of code. We will see how to create an algorithm for trading from data import to automatic positions. You will create an algorithm that will yield more than 50% annually on the Nasdaq 100 using an algorithm.

In summary, we will study:

• The numpy library to do scientific calculations
• The pandas library organize and visualize data
• The Matplotlib library to make powerful graphics
• Features engineering
• Linear regression for finance
• Machine vector support
• Decision tree
• Random Forest
• Apply and understand the Sharpe ratio
• Apply and understand the Sortino ratio
• Understanding the volatility of a stock market asset
• Understand and create a backtesting universe that is easy to use
• Backtest the strategy using the most know metrics in trading
• How to choose the best features for Machine Learning models
• The basics in python language to follow the course and to do your own projects after the course.
• The basics in python language to follow the course and to do your own projects after the course.

What I am going to learn?

• Use numpy to do scientific calculation
• Use pandas to import and organize data
• Use Matplotlib to visualize data
• Use, create, understand mathematical model
• Machine learning for algorithmic trading
• Features Engineering
• Statistics for finance
• Create an easy-to-reuse backtesting universe
• Automatically take sales and buy positions
• Data import with a API

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