Lazy Trading Part 7: Developing self-adapting Trading System
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Lazy Trading Part 7: Developing self-adapting Trading System
Original price was: $49.99.$14.00Current price is: $14.00.
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Lazy Trading Part 7: Developing self-adapting Trading System
★★★★★
$519.00 in stock
Udemy.com
as of July 23, 2026 10:48 pm
Learn to assemble Smart Self Learning Algorithms. Predict future price change based on financial data patterns
Created by:
Vladimir Zhbanko
Senior Engineering Specialist and Instructor
Senior Engineering Specialist and Instructor
Created by:
Miguel Ferraz
Economist/Programmer
Economist/Programmer
Rating:4.28 (25reviews)
492students enrolled
What Will I Learn?
- Log data from financial assets to files
- Learn to use Deep Learning with H2O
- Setup Automated Decision Support Loop
- Automate R scripts
- Develop R code
- Use Version control for your R project
- Writing R functions
- Perform data manipulations with pipes
- Use H2O Machine Learning platform in R
- Perform Deep Learning on Time-Series data
- Evaluate performance of Deep Learning models
- Backtest trading strategy in R Software
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 [Mac only with provided sample data]
- Java installation on Computer
- R Statistical Software
- R-Studio
- MT4 Trading Platform, Demo Trading Account
- GitHub Desktop Software for Version Control
- GitHub Account for Version Control
Target audience
- Anyone who want to be more productive
- Anyone who want to learn Data Science using Algorithmic Trading
- Anyone who want to try Algorithmic Trading but have little time
- Anyone willing to learn Deep Learning and understand how to apply it to make predictions
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