Lazy Trading Part 3: Set up your automated Trading Journal

Lazy Trading Part 3: Set up your automated Trading Journal, available at $54.99, has an average rating of 4.6, with 17 lectures, based on 21 reviews, and has 422 subscribers.

You will learn about Using version control to track changes Having their own Trading Journal in R Shiny Visual and statistical analysis of performed trades Learn how to get started with R Shiny Automatically Log data from financial asset or Indicators to the file How to write and keep logs of notes in the Trading Journal This course is ideal for individuals who are Anyone who want to be more productive or Anyone who want to learn Data Science and Trading at the same time or Anyone who want to try Algorithmic Trading but have little time or Anyone who like to learn programming Shiny App It is particularly useful for Anyone who want to be more productive or Anyone who want to learn Data Science and Trading at the same time or Anyone who want to try Algorithmic Trading but have little time or Anyone who like to learn programming Shiny App.

Enroll now: Lazy Trading Part 3: Set up your automated Trading Journal

Summary

Title: Lazy Trading Part 3: Set up your automated Trading Journal

Price: $54.99

Average Rating: 4.6

Number of Lectures: 17

Number of Published Lectures: 16

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 16

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Using version control to track changes
Having their own Trading Journal in R Shiny
Visual and statistical analysis of performed trades
Learn how to get started with R Shiny
Automatically Log data from financial asset or Indicators to the file
How to write and keep logs of notes in the Trading Journal

Who Should Attend

Anyone who want to be more productive
Anyone who want to learn Data Science and Trading at the same time
Anyone who want to try Algorithmic Trading but have little time
Anyone who like to learn programming Shiny App

Target Audiences

Anyone who want to be more productive
Anyone who want to learn Data Science and Trading at the same time
Anyone who want to try Algorithmic Trading but have little time
Anyone who like to learn programming Shiny App

About this Course: Set up your Automated Trading Journal

The third part of this series will cover setting up your Trading Journal. At the end of this course we will have our own easy to use Automated Trading Journal containing our strategies, notes with possibility to visually analyse thousands of trades in seconds:

Perform visual analysis of all your trading systems in seconds
Learn to use R Shiny – useful tool to deploy any data science project
Setting up Version Control Project
Collect and record data from Financial Asset to the File
Get and adapt the code
Further customize template
Part of our Decision Support System

About the Lazy Trading Courses:

This series of courses is designed to to combine fascinating experience of Algorithmic Trading and at the same time to learn Computer and Data Science! Particular focus is made on building foundation of Decision Support System that can help to automate a lot of boring processes related to Trading.

This project is containing several short courses focused to help you managing your Automated Trading Systems:

Set up your Home Trading Environment
Set up your Trading Strategy Robot
Set up your automated Trading Journal
Statistical Automated Trading Control
Reading News and Sentiment Analysis
Using Artificial Intelligence to detect market status
Building an AI trading system

Update: dedicated R package ‘lazytrade’ was created to facilitate code sharing among different courses

IMPORTANT: all courses will be short focusing to one specific topic. You will not get lost in various sections and deep theoretical explanations. These courses will help you to focus on developing strategies by automating boring but important processes for a trader.

What will you learn apart of trading:

While completing these courses you will learn much more rather than just trading by using provided examples:

Learn and practice to use Decision Support System
Be organized and systematic using Version Control and Automated Statistical Analysis
Learn using R to read, manipulate data and perform Machine Learning including Deep Learning
Learn and practice Data Visualization
Learn sentiment analysis and web scrapping
Learn Shiny to deploy any data project in hours
Get productivity hacks
Learn to automate your tasks and scheduling them
Get expandable examples of MQL4 and R code

What these courses are not:

These courses will not teach and explain specific programming concepts in details
These courses are not meant to teach basics of Data Science or Trading
There is no guarantee on bug free programming

Disclaimer:

Trading is a risk. This course must not be intended as a financial advice or service. Past results are not guaranteed for the future.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Specific Goals for this Course

Lecture 2: Disclaimer

Chapter 2: Some basics about Shiny App

Lecture 1: Shiny Basics, Resources and Reference

Lecture 2: Data Grammar and Visualization

Chapter 3: Building Trading Journal

Lecture 1: Get the code for the Trading Journal

Lecture 2: R package 'lazytrade'

Lecture 3: Customize code for your own trades

Lecture 4: Write Financial Asset data to file

Lecture 5: Updated code: Write Financial Asset data to file

Lecture 6: How Shiny works: Read data and generate Graphs

Lecture 7: Writing your strategy

Lecture 8: Adding notes to your journal

Chapter 4: Practical Activity: Customize Further

Lecture 1: Challenge: Create custom chart and calculate profit factor

Chapter 5: Conclusion for Part 3

Lecture 1: Summary of this course

Lecture 2: Preview Next Course

Lecture 3: Your special *BONUS*

Instructors

Vladimir Zhbanko
Senior Engineering Specialist and Instructor

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 1 votes
4 stars: 5 votes
5 stars: 13 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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