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Basic ML Maths OR Quant Trading Strategies? [Video]

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Predictive Analytics

Basic ML Maths OR Quant Trading Strategies?

Basic ML Maths OR Quant Trading Strategies?

Welcome to a special edition in our “100 Days of Python Algo Trading” series! Today, we’re reaching out to you, our valued viewers, to help us decide the upcoming content focus. Should we dive into the foundational mathematics behind Machine Learning, essential for predictive modeling and algorithmic strategies? Or would you prefer we explore Quantitative Trading Strategies, detailing various algorithms and their applications in the market? Your input is crucial!

What We’re Considering:

Basic ML Maths: Unpack the core mathematical concepts that power machine learning algorithms. From linear algebra to probability, these are the building blocks for any advanced analytics in trading.
Quant Trading Strategies: Delve into the specifics of quantitative strategies, exploring statistical methods and computational techniques to maximize trading performance.
How You Can Help:

Vote in Our Poll:Visit the community section of our YouTube channel or check our social media platforms to participate in the poll. Your input is critical!
Comment Below: Share your thoughts and reasons for your choice. Whether you’re a beginner eager to learn the basics or an advanced trader looking to refine your strategy, your feedback is invaluable.
Engage with Us:

Subscribe and Stay Tuned: Based on your feedback, we’ll tailor our upcoming content to best suit your learning needs.
Like and Share: Help us reach more enthusiasts by liking and sharing this video. More input means a better-directed series for everyone!
We’re excited to hear from you and look forward to crafting content that aligns closely with your interests and needs in the world of algorithmic trading!

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