INSTANT DOWNLOAD!
Full PT101 Practical Python for Finance & Trading Masterclass.
Please Note:
The vendor’s AlgoTrading101 bundle includes two comprehensive courses designed to elevate your trading skills:
AT101: Algorithmic Trading Immersive Course
This course covers the essentials of designing, testing, and executing trading strategies. It’s perfect for building a solid foundation in algorithmic trading.PT101: Practical Quantitative Trading with Python Masterclass
Focused on modern, advanced trading strategies, this masterclass dives deeper into quantitative methods using Python for practical application.
This page features the PT101 Practical Quantitative Trading with Python Masterclass.
If you’re interested in the fundamentals, you can explore the AT101 Algorithmic Trading Immersive Course here:
https://gregforex.com/shop/at101-algorithmic-trading-immersive-course/
PT101: Practical Quantitative Trading with Python Masterclass
This advanced course dives into modern quantitative trading strategies using Python, tailored for traders looking to master sophisticated techniques for today’s dynamic markets.
What You’ll Learn:
Advanced Markets & Strategies
Trading in niche markets like Canadian bond STIR futures
Developing multi-asset strategies for diversified portfolios
Leveraging alternative data sources beyond price charts
Collecting and processing data through web scraping
Applying machine learning to extract market insights
Hands-On Python & Strategy Testing
Get started with the essential Python skills for trading
Build your first pair trading strategy to understand mean reversion
Master the concept of cointegration: betting that diverging assets will revert to their mean
Explore synthetic assets—creating range-bound instruments by combining others
Implement strategies like bond futures calendar spreads, market making, and statistical arbitrage across hundreds of stocks
Data-Driven Techniques
Use Web APIs to gather alternative datasets (e.g., Google Trends)
Develop sentiment-based strategies by analyzing search traffic spikes
Access and analyze paid alternative data (credit card transactions, foot traffic)
Create custom indexes by combining multiple alternative data streams to predict stock performance
Use web scraping creatively to extract unique predictive signals
Correlation & Sentiment Analysis
Understand and test statistical correlations to inform trading decisions
Use alternative data like job listings and search trends to anticipate price movements
Apply machine learning for sentiment analysis on news articles in multiple languages
Evaluate market sentiment through natural language processing to guide trades
This masterclass equips you with the tools and knowledge to design, test, and execute practical, cutting-edge trading strategies powered by Python and data science.
