📈 Matt Dancho – Backtesting Algorithmic Trading Strategies with Python

If you’ve ever wanted to master algorithmic trading strategies, minimize your risk, and grow your portfolio with data-driven methods, this program is your chance.
Learn directly from Matt Dancho, as he walks you through portfolio-based strategies, backtesting with Python, and using professional tools like Quant Lab.
Whether you’re a beginner or have trading experience, this course will equip you with the practical knowledge and tested strategies you need to thrive in financial markets.

✨ COURSE DETAILS

📌 Here’s What You Get:

• Set up a trading portfolio project and Quant Lab software – perfect for beginners and advanced learners alike.
• Access to 4 algorithmic portfolio trading strategies designed for success, risk management, and consistent portfolio growth.
• Step-by-step process to professionally backtest strategies across different market conditions.
• Build confidence in trading, without losing money, time, or peace of mind.

🚀 Step 1: Trading Project and Python Quant Lab Setup ($500 Value)

Learn how to install and configure the Quant Stack Python Software, set up your trading environment, and kickstart your algorithmic trading project.
You’ll get everything required to start building and backtesting portfolio strategies from scratch.

💡 Step 2: Create a Profitable Algorithmic Portfolio Trading Strategy ($2,500 Value)

Gain access to top-performing portfolio trading strategies such as Volatility Targeting with Auto-Rebalancing.
Learn how to use Riskfolio-Lib to construct risk-managed portfolios and even leverage the famous
“Ray Dalio Bridgewater Cheat Code” for enhanced returns.

📊 Step 3: Learn How to Backtest the Right Way ($2,500 Value)

Understand event-based backtesting and gain expertise in using Zipline Reloaded.
You’ll learn how to account for slippage, commissions, and rebalancing while avoiding costly backtesting mistakes.
This ensures your trading strategies are realistic and market-ready.

🎁 Exclusive Bonuses

Bonus #1: Code to Backtest 21,000+ US Equities Using Premium Data ($1,500 Value)

Solve the challenge of accessing professional-grade market data.
Get templates to ingest premium data for 21,000+ U.S. equities and convert them into Zipline Bundles.
(This requires a low-cost data subscription but provides unmatched accuracy for professional backtesting.)

Bonus #2: Code to Use Free Market Data for Backtesting ($1,500 Value)

For beginners or those just starting out, this bonus teaches you how to use free market data for effective backtesting.
No subscription required – yet still powerful enough to start practicing algorithmic trading.

Bonus #3: Top 3 Variations of Volatility Targeting Strategy ($3,000 Value)

• 📌 Hierarchical Risk Parity ($1,000 Value)
• 📌 CVaR Risk Measure ($1,000 Value)
• 📌 Risk Factor with Principal Component Regression ($1,000 Value)

These powerful variations adapt to different market conditions, giving you multiple strategies to maximize returns while managing risks efficiently.

🌟 Course Highlights

This course is not just about theory—it’s about real-world application.
You’ll get working code, templates, and trading models that you can directly implement.
With structured guidance, even a beginner can transition into a confident algorithmic trader.

🎯 Benefits for Students

• Learn Python for algorithmic trading in a practical way.
• Master backtesting strategies used by professional traders.
• Develop the skills to protect and grow your portfolio.
• Access ready-made strategies and adapt them to your own needs.

📌 Why Backtesting Algorithmic Trading Strategies with Python?

Because Python is the backbone of modern trading. With its robust ecosystem and specialized libraries, Python enables traders to create, test, and optimize strategies with precision.
This course bridges the gap between theory and practice, ensuring that you can put your strategies to the test and refine them for real-world performance.

👨‍🎓 Who Should Enroll?

This course is perfect for:

• Beginners eager to enter algorithmic trading with confidence.
• Investors looking to optimize their portfolios with systematic strategies.
• Finance professionals seeking to expand technical skills.
• Data science enthusiasts who want to apply Python to financial markets.

📈 Course Outcome

By the end of the course, you’ll have built, tested, and optimized multiple algorithmic trading strategies.
You’ll gain not only the technical ability but also the confidence to trade with discipline, backed by data and proven methods.

🔥 Take Control of Your Trading Journey Today

This isn’t just another course—it’s a complete roadmap to mastering algorithmic trading.
With Matt Dancho’s proven strategies, templates, and professional backtesting methods,
you can transform your portfolio and start trading smarter, not harder.