Lazy Trading Part 7: Developing self-adapting Trading System

🌟 Lazy Trading Part 7: Developing Self-Adapting Trading System 📚✨

🚀 "About the Lazy Trading Courses:" These courses are a thrilling blend of Algorithmic Trading, Computer Science, and Data Science. The focus is on crafting a sophisticated Decision Support System that automates mundane trading processes and learns from data, making your trading experience smarter and more efficient. By the end of this series, you'll have built a fully-fledged system capable of evolving autonomously!

🧠 "About this Course:" This edition dives into creating a self-learning trading robot using Statistical Modeling. We'll leverage cutting-edge tools to predict future price movements:

1. Gathering Data: Utilize the MQL4 DataWriter robot to collect financial asset data.
2. Data Aggregation: Employ R Statistical Software to prepare your data for analysis.
3. Deep Learning Model Training: Tap into the power of H2O Machine Learning Platform with its random neural network structures and R functions for testing and examples.
4. Back-testing Strategy: Test your trading strategy using historical data and the model's predictions.
5. Model Updating: Refine your model as needed based on new data and insights.
6. Prediction Generation: Use the model with new data to generate informed predictions.
7. "Market Type Selection with Reinforcement Learning": Implement market type selection using reinforcement learning, enhancing your trading strategy.
8. Deploying the System: Set up a ready-to-use complex Trading System that you can easily deploy.

👀 "What is that ONE special thing about this course?" Get ready to witness AI predicting the future! This hands-on course is packed with practical examples and real-world applications, ensuring you're not just learning theory but applying it in meaningful ways.

🏗️ "Course Project Overview:" These courses are structured to guide you through setting up your trading environment, robot, journal, and more. Each step is designed to build upon the previous, creating a comprehensive understanding of automated trading systems.

❓ Important Notes:

• Quick deployment sections are included for immediate practical applications.
• Theoretical explanations are provided for a well-rounded learning experience.

📈 "What will you learn apart from trading:" As you progress through these courses, you'll also master:

1. Using Decision Support Systems effectively.
2. Organizing and systematically managing your projects with Version Control and Automated Statistical Analysis.
3. Advanced R usage for data reading, manipulation, and Machine Learning, including Deep Learning.
4. Data Visualization techniques to better understand your data.
5. Sentiment analysis and web scraping to stay ahead of the market trends.
6. Deploying projects with Shiny in a matter of hours.
7. Productivity hacks to streamline your workflow.
8. Automating tasks and scheduling them for optimal efficiency.
9. Expandable examples of MQL4 and R code for real-world applications.

✘ "What these courses are not:"

• They do not aim to teach programming concepts in exhaustive detail.
• They are not introductory courses in Data Science or Trading.
• They do not guarantee bug-free programming experiences.

⚠️ Disclaimer: Please remember, trading involves significant risk and is not suitable for all individuals. This course is not intended as financial advice or service. Past performance does not guarantee future results, and a substantial time investment may be required to fully grasp the methods and concepts presented. Proceed with caution and at your own risk. ⚠️

Join us on this exciting journey into the world of self-adapting trading systems! 🚀📊👍