Algorithmic Trading With Python - Avoid Common Mistakes in Algorithmic Trading And Machine Learning

This video presents 9 very common mistakes that every algorithmic trader might fall in especially when using Machine Learning models to predict price movements. As the market is very difficult to predict falling into one of these mistakes is very common among algorithmic trading programmers. Good news is that it is very easy to avoid these by applying simple turn arounds. 🍓 If you want to follow structured courses with more details and practice exercises check my "About" page for Discount Coupons on my Udemy courses covering: Python basics, Object Oriented Programming and Data Analysis with NumPy and Pandas, ... more courses are on the way drop me a message if you have a particular interesting topic! Good luck! –––––––––––––––––––––––––––––– Music in the background Echoes by LiQWYD https://soundcloud.com/liqwyd Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: https://bit.ly/-_echoes Music promoted by Audio Library https://youtu.be/jYAPLnMiZ5g –––––––––––––––––––––––––––––– 00:00 Introduction 01:20 Regressor 02:23 Raw price values 03:24 Splitting Data Randomly 05:00 Basic technical indicators 05:35 Strategy 06:22 Entry strategy 07:05 Trading fees 07:50 Backtesting 08:39 Interfering in the trades