Lazy Trading Part 6: Detect Market status with AI
What you'll learn
- Log data from financial assets to files
- Prepare Time-Series data for Deep Learning Tasks
- Detect Market Status of Financial Assets using Deep Learning
- Learn to perform Supervised Classification with Deep Learning [with R and h2o]
- Use Market Status in Financial Trading
- Setup Automated Decision Support Loop
- Automate R scripts
- Develop R code
- Use Version Control for R projects
- Writing R functions
- Perform data manipulations in R
- Use H2O Machine Learning platform in R
- Application of Reinforcement Learning to select best working Model
Requirements
- You should have a background knowledge on Trading and it's pitfals
- You want to learn Data Science using Trading
- PC Windows (min 4CPU 8Gb RAM). This machine should be left ON continuously for several weeks
- MQL4 and R basic level
- Best with 1, 2, 3, 4, 5 courses of Lazy Trading Series
Description
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 Decision Support System that can help to automate a lot of boring processes related to Trading and also learn Data Science. Several algorithms will be built by performing basic data cycle 'data input-data manipulation - analysis -output'. Provided examples throughout all 7 courses will show how to build very comprehensive system capable to automatically evolve without much manual input.
Inspired by:
“it is insane to expect that one system to work for all market types” // -Van K. Tharp
“Luck is what happens when preparation meets opportunity” // -Seneca (Roman philosopher)
About this Course: Use Artificial Intelligence in Trading
This course will cover usage of Deep Learning Classification Model to classify Market Status of Financial Assets using Deep Learning:
Learn to use R and h2o Machine Learning platform to train Supervised Deep Learning Classification Models
Easily gather and write Financial Asset Data with Data Writer Robot
Manipulate data and learn to build Classification Deep Learning Models
Use random neural network structures
Functions with examples in R package
Generate Market Type classification output for Trading Systems
Get Trading robot capable to consider Market Status information in your Strategies
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 have a 'quick to deploy' sections as well as sections containing theoretical explanations.
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. Significant time investment may be required to reproduce proposed methods and concepts
Who this course is for:
- Anyone interested to practice Deep Learning Supervised Modelling (Regression and Classification)
- Anyone who want to be more productive
- Anyone who want to learn Data Science
- Anyone who want to try Algorithmic Trading but have little time
Instructors
- 4.2 Instructor Rating
- 279 Reviews
- 10,374 Students
- 12 Courses
Hello, I am really excited that you read my little story here!
I am a Chemical Engineer by education, Problem Solver by nature and Instructor by hobby. I currently work in Swiss Multinational Company as Senior Engineering Specialist in R&D. I like to learn and apply modern technology to gain value. Being Certified Green Belt in Lean Six Sigma I always try to reduce inefficiencies by finding complex patterns or applying new methods to close gaps.
I would like to bring some ideas on how one can be more productive. How to collect data in a smarter way using simple tools, how to make it easier to take a decision, and … why not to automate the decision using Artificial Intelligence? I will try to cover very practical side of technology, show how to benefit from it with concrete examples.
p.s. I will try my best to provide the best possible learning experience. If it would not be the case I would be very happy to receive any constructive feedback on how can I be better.
- 4.2 Instructor Rating
- 206 Reviews
- 2,514 Students
- 7 Courses
I am an economist and a programmer. I got my undergraduate degree in Economics from Católica Porto Business School. After I finished my undergraduate degree, I made an internship in an Investment Bank that opened my mind to the role of programming and the importance of stepping out. So I have decided to learn programming languages to develop algorithmic trading robots.
I believe that a self-educated person can easily step out of the box.
Currently, I am doing a master's degree in Finance and one of the things that most fascinates me about this is that I almost can apply what I have learned in the classes right away.
I can fluently speak three languages (PT, EN, and ES). I am an MQL4(C++) expert but I also can program in R and VBA.
Besides my professional career, I am a golf player and I enjoy spending time with my friends and family.
p.s. I hope that you get the best learning experience out of these courses. These are supposed to help you achieve goals in a faster and easier way. I am always happily available to help you. I case you have any doubts drop me a message. Enjoy the Courses!