Mastering Backtesting For Algorithmic Trading

Mastering Backtesting For Algorithmic Trading
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

What you’ll learn
Spot and Avoid False Strategies: Uncover the secrets to identifying deceptive investment strategies.
Learn from Leading Experts: Benefit from the wisdom of pioneers in the field. Our curriculum is built around groundbreaking research and publications.
Infuse Causality in Your Strategies: Elevate your trading approach by integrating causal reasoning.
Adopt Best Practices in Quantitative Research: Forge your path in quantitative equity strategies using industry best practices.
Practical Insights and Real-World Application: This course doesn’t just stop at theory. You’ll get hands-on experience building your own backtester in Python
Innovate with Confidence: Equip yourself with the knowledge to not just follow but innovate in the field of quantitative finance.

Requirements
Familiarity with Python programming
Basic understanding of financial markets and trading.
Linear algebra and statistics is helpful
Ability to read mathematical equations

Description
Who this course is for:
Aspiring quant traders and analysts looking to understand backtesting.,Finance professionals who want to incorporate data-driven methods into their trading strategies.,Students and academics interested in quantitative finance.,Hobbyists looking to learn more about algorithmic trading.

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