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Algorithmic Trading with Python: Technical Analysis Strategy is an algorithmic trading course with Python programming language published by Udemy Academy. This course teaches trading programming algorithms from the ground up. In this course, after learning the topics of the Python programming language, you will learn to implement a trading algorithm based on the RSI indicator. You will also learn how to combine strategies for profit-loss optimization using portfolio techniques such as Sortino optimization, minimum variance optimization, and skew and mean variance elongation optimization.
After creating the strategy, it is tested by Pythonback. With tools like Sortino Ratio the strategy is checked o, hin an and the beta value is reduced and…, then the best algorithm will be placed in live trading.

What you will learn in Algorithmic Trading with Python: Technical Analysis Strategy:

  • Live trading in MetaTrader 5 using Python
  • Increase knowledge and skills in Python programming language
  • Creating an algorithmic trading strategy
  • Draw financial data
  • Back test vector
  • Statistics such as Sharpe rate, Sortino rate and beta
  • Combining trading strategies using capital management techniques
  • Manage data using the pandas library
  • Sort and clear data using pandas
  • Comparison and selection of trading strategies
  • Quantify the risk of each strategy
  • Import data from Yahoo Finance
  • Implement strategy on VPS

Course specifications

Publisher:  Udemy
Instructor: Lucas Inglese
Language: English
Level: Advanced to Advanced
Number of Courses: 72
Duration: 5 hours and 7 minutes

Course topics

Algorithmic Trading with Python: Technical Analysis Strategy

Prerequisites Course

Some python knowledge are welcoming but not necessary

Course pictures

Algorithmic Trading with Python: Technical Analysis Strategy

Introductory video of Algorithmic Trading with Python: Technical Analysis Strategy

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 168 MB

File password (s):


2.16 GB

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