Technical Analysis Strategy – Full Version

Description

Algorithmic Trading with Python: Technical Analysis Strategy is an Algorithmic Trading with Python Programming Language course published by Udemy Academy. This course teaches trading programming algorithms from scratch. In this course, after learning the topics of the Python programming language, you will learn how to implement a trading algorithm based on the RSI indicator. You will also learn how to combine profit loss optimization strategies using portfolio techniques such as Sortino Optimization, Minimum Variance Optimization, and Variance Stretching Optimization. the mean variance.

After creating the policy, 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 with Python
  • Increase Python programming language knowledge and skills
  • Create an algorithmic trading strategy
  • Draw financial data
  • Back test vector
  • Statistics such as Sharpe rate, Sortino rate and beta
  • Combine trading strategies using capital management techniques
  • Manage data using 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

Editor: Udemy
Instructor: Lucas English
French language
Level: Advanced to Advanced
Number of lessons: 72
Duration: 5 hours and 7 minutes

Course topics

Algorithmic Trading with Python: Technical Analysis Strategy

Prerequisite course

Some python knowledge is welcome but not necessary

Pictures of the course

Algorithmic Trading with Python: Technical Analysis Strategy

Introductory Video to Algorithmic Trading with Python: Technical Analysis Strategy

Installation guide

After ripping, 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): ngaur.com

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2.16 GB

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