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Data science for algorithmic trading

We will create a algorithmic trading strategy that earns 50% annually.
Course from Udemy
 44 students enrolled
 en
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

It’s with pride that I offer this data science course for algorithmic trading. It is the fruit of several years of work in the field in order 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 a algorithm of 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 to 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 reuse

Backtest the strategy

Data science for algorithmic trading
$ 94.99
per course
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