100% Discount || Data science for algorithmic trading

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    Data science for algorithmic trading


    • No knowledge required
    • Programming knowledge in python is advantageous
    • Statistics and algebra is a advantageous


    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.

    Who this course is for:

    • Everyone

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