[Download] Lazy Trading Part 3: Set up your automated Trading Journal

Download Files Size:

326 MB

Value:

$199

Build your own Interactive Trading Journal in R Shiny App

What you’ll 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

1.5 hours on-demand video
2 articles
3 downloadable resources
Full lifetime access
Access on mobile and TV

Certificate of Completion

Requirements

You should have a background knowledge on Trading and it’s pitfals
You want to learn Data Science using Trading
PC Windows or VPS Windows
R and R-Studio installed
Best with 1st, 2nd courses of Lazy Trading Series

Description

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.

Who this course is for: