Lazy Trading Part 5: Read Forex news and Sentiment Analysis

🚀 Course Overview: Lazy Trading Part 5 - Master Forex News & Sentiment Analysis! 📈

Dive into the World of Algorithmic Trading with a Twist of Macroeconomics!

👉 What You'll Learn:

• Macroeconomic Events Mastery: Understand how to read and interpret Forex Calendar events, such as US Non-Farm Payroll or President Trump's speeches, and how they impact the markets.

• Sentiment Analysis for Assets: Explore the correlation between text data sentiment (from news and Twitter) and future asset prices in the US, Canada, GB, and their respective currency pairs. 🤖

Key Course Highlights:

• Web Scraping & Sentiment Analysis: Learn to scrape news for sentiment analysis, which can be a game-changer in your trading strategy.

• Version Control & R Automation: Master the use of version control systems and automate your R code to streamline your projects.

• Deep Dive into Sentiment Scoring: Utilize basic polarity scoring and the NRC Sentiment Dictionary to gauge sentiment across eight emotions. 📊

• Descriptive Analysis & Twitter Data Integration: Perform a descriptive analysis of sentiment polarity scores in news headlines and fetch Twitter data relevant to Tesla stock prices.

• Advanced Learning with h2o Deep Learning: Engage in deep regression learning to discover the relationship between sentiment scores and objective variables within the h2o deep learning environment. 🧠

But Remember: ⚠️

• There's absolutely no guarantee that the methods proposed will work! Trading involves risk, and past performance is not indicative of future results.

About the Lazy Trading Series:

• Combining Trading & Data Science: This course series merges the excitement of algorithmic trading with the power of computer and data science to create a robust decision support system for traders.

• Comprehensive Short Courses: The series is designed as a collection of short courses, each focusing on a specific aspect of building an automated trading system.

Important Updates:

• Introducing the 'lazytrade' R Package: A new R package has been created to facilitate code sharing across different courses in the series. 📚

What You'll Gain Beyond Trading:

• Decision Support Systems: Learn how to leverage these systems for automating processes and making informed decisions.

• Version Control & Automation: Get organized with version control, automated statistical analysis, and more.

• Data Manipulation & Machine Learning: Excel in using R for data manipulation, machine learning (including deep learning), and data visualization.

• Deployment with Shiny: Deploy your data projects quickly and efficiently using the Shiny framework.

• Productivity Hacks: Discover ways to automate tasks and enhance your productivity.

• Expandable Code Examples: Receive examples of MQL4 and R code that you can expand upon.

What These Courses Are Not:

• They do not teach detailed programming concepts. The focus is on applying knowledge to trading scenarios.

• They are not meant for beginners in Data Science or Trading. It's assumed that you have some foundational knowledge.

• There's no promise of bug-free code. Trading and data science involve complex systems where bugs can occur.

Disclaimer: ⚖️

• Trading carries risk, and this course is not financial advice or a service. Always consider the risks and consult with financial professionals as needed. Past performance does not guarantee future results.

Ready to take your trading to the next level? Enroll now and embark on a journey through the complex yet exciting world of algorithmic trading with sentiment analysis! 🌟