Python for Trading: A PROFITABLE algorithm using Machine Learning (RSI + SVM Classification)

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To download the Jupyter Notebook associated with this video ❤️:

This video is series of two videos are showing how to develop a machine learning algorithm for trading and investment. The algorithm supported in this application is the Support Vector Machine.

Along with this video, we are learning to code the Relative Strength Index also called RSI and visualize it.

If you want to follow my trading robot for live signals 🚀📈:

Below are the online courses which I preferred from our partner in this video QUANTINSTI (That’s referral links):

📊Advanced courses:

📚Beginner course:

🗞Free course:

If you want to know more about algorithmic trading:

Summary:
00:00 In the next video
00:22 Introduction
03:07 Classification Model Theory
05:14 Real-life use of Classification Model
07:00 How to use classification for Trading purposes
09:43 Data Model
13:29 Coding and Libraries import
18:01 Import live market data
21:59 Visualise Market Data with PlotLy
25:30 Data Cleaning
27:57 Relative Strength Index (RSI) calculation
35:03 Subplot visualisation with Plotly
38:45 In the next videos
40:35 My Trading Robot presentation
41:28 Partner of this video
43:12 Thank you for all ❤️

#MachineLearning #Trading #Python #SVM #SupportVectorMachine #RSI

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