Lazy Trading Part 4: Automated Statistical Trading Control

Course details

About this Course: Set up your Automated Statistical Trade Analysis

The fourth part of this series will cover setting up your Automated Decision Support System. You will learn how to use Decision Support System to automatically perform Statistical Trade Analysis. This will allow you to automate decision to start or stop your trading strategies. You will learn these concepts:

• Learn to use R to perform data analysis and generating output result
• Use Decision Support System results in your Trading Strategies
• Using Profit Factor Monitoring
• Using Reinforcement Learning in R
• Setting up Version Control Project
• Get and adapt the code
• Further customize template
• Know how to automate your R code

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 will contain several short courses* focused to help you managing your Automated Trading Systems:

1. Set up your Home Trading Environment
2. Set up your Trading Strategy Robot
3. Set up your automated Trading Journal
4. Statistical Automated Trading Control
5. Reading News and Sentiment Analysis
6. Using Artificial Intelligence to detect market status
7. Building an AI trading system

* content may change over time

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 you 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.