Quant Trading Accelerator - Part 3: Vectorization

MemLabs · Beginner ·📐 ML Fundamentals ·7mo ago

About this lesson

In this video, we build our own data analysis library using vectorization. Vectorization is extremely important in quant trading and machine learning as it allows to speed up calculations. The notebook used can be found here: https://colab.research.google.com/drive/1tHe1Y0jcLfIOAmzDAECQjDC3336nCrrd?usp=sharing 📚 About this course Quant Trading Accelerator teaches quant trading from zero and fast. Instead of forcing you to learn all computer science and advanced math up front, I introduce concepts just-in-time (JIT) so you can immediately apply them. This course is hands-on and project-based: you’ll build a full quant trading system step-by-step. 👍 Like & subscribe if this helped 💚 Want to Support Me? Buy me a coffee: buymeacoffee.com/memlabs Patreon: https://www.patreon.com/cw/MemLabs 💬 Join our Discord community: https://discord.gg/BBp9EqUNNa

Original Description

In this video, we build our own data analysis library using vectorization. Vectorization is extremely important in quant trading and machine learning as it allows to speed up calculations. The notebook used can be found here: https://colab.research.google.com/drive/1tHe1Y0jcLfIOAmzDAECQjDC3336nCrrd?usp=sharing 📚 About this course Quant Trading Accelerator teaches quant trading from zero and fast. Instead of forcing you to learn all computer science and advanced math up front, I introduce concepts just-in-time (JIT) so you can immediately apply them. This course is hands-on and project-based: you’ll build a full quant trading system step-by-step. 👍 Like & subscribe if this helped 💚 Want to Support Me? Buy me a coffee: buymeacoffee.com/memlabs Patreon: https://www.patreon.com/cw/MemLabs 💬 Join our Discord community: https://discord.gg/BBp9EqUNNa

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