Introduction to Medium-Frequency Trading (Trading in Milliseconds) | By Ernest Chan

This session provides an introduction to medium-frequency trading, which is an advanced trading style that operates at a higher frequency than traditional quantitative trading.

Attendees will learn about the key concepts, tools, and strategies used in medium-frequency trading, along with the benefits and challenges of using this approach. The session will also discuss the role of technology and data analysis in medium-frequency trading.

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Session Outline
👉 Introduction to Medium-Frequency Trading
👉 Key Concepts and Strategies of Medium-Frequency Trading
👉 Benefits and Challenges of Medium-Frequency Trading
👉 Role of Technology and Data Analysis in Medium-Frequency Trading
👉 Trading in Milliseconds: Strategies and Techniques
👉 High-Frequency Trading vs. Medium-Frequency Trading
👉 Real-World Examples of Medium-Frequency Trading
👉 Interactive Q&A

▶️ More Quantitative Trading Strategies:    • Advanced Quantitative Trading Strategies  
▶️ Machine Learning In Trading | By Dr Ernest Chan:    • Machine Learning In Trading | Everything Y...  

FREE Ebooks:
🎁Machine Learning In Trading | Step By Step Implementation of ML Models - https://bit.ly/4bGQF9e
🎁Algorithmic Trading | A Rought & Ready Guide - https://bit.ly/3UGgTms
🎁Python Basics | With Illustrations From The Financial Markets - https://bit.ly/49BP1UQ

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About the Speakers
Dr. Ernest Chan (CEO, Predictnow.ai)

Dr. Chan is the CEO of the financial machine learning firm Predictnow.ai, and an award-winning quantitative hedge fund manager and acclaimed quant finance author. He was previously a machine learning researcher at IBM T.J. Watson Research Center and Morgan Stanley, and a proprietary trader at Credit Suisse.
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About QuantInsti:
QuantInsti is the world's leading algorithmic and quantitative trading research & training institute with registered users in 190+ countries and territories. An initiative by the founders of iRage, one of India’s top HFT firms, QuantInsti has been helping its users grow in this domain through its learning & financial applications-based ecosystem for 10+ years
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