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Alternative Data for Algorithmic Trading Strategies

Category: Tutorials


Alternative Data for Algorithmic Trading Strategies
Free Download Alternative Data for Algorithmic Trading Strategies
Published 6/2024
Created by Hudson and Thames Quantitative Research
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 155 Lectures ( 15h 33m ) | Size: 11 GB


A Comprehensive Examination of the Use of Alternative Data for Investing and Trading Strategies
What you'll learn:
Grasp the Fundamental Principles and Applications of Alternative Data.
Learn to use unconventional data to enhance alpha generation and portfolio risk management.
You'll learn through case studies how alternative data sources can address real challenges like forecasting equity returns or economic indicators.
Explore the Frontiers of Alternative Data Notions and Uses: Students will engage with the latest research and advancements in the field.
Gain insights into the legal requirements and compliance framework that should structure any strategy that uses alternative data.
Requirements:
No specific prerequisites are required for this course, making it accessible to all enthusiastic learners. However, a basic understanding of finance or a quantitative background can be beneficial to fully grasp the more complex concepts presented.
Basic understanding of financial markets and trading.
Basic knowledge of data manipulation and treatment.
No Data Science or Machine Learning knowledge needed.
Description:
This course aims to familiarize you with the notions and implications of what "Alternative Data" is, and what it could mean in the investing and trading fields if it is used adequately. It is tailored for those who want to learn from scratch how to use alternative data as part of their trading strategies.The course provides a distinctive combination of theoretical concepts, practical real-world examples and case studies, as well as cutting-edge research findings. This approach allows participants to acquire comprehensive and in-depth knowledge in the subject matter.One of the primary objectives of the course is to equip participants with the ability to utilize alternative data sources to enhance their understanding of financial markets. By acquiring this knowledge, participants will be empowered to develop and tailor innovative trading and investment strategies that yield superior returns, ultimately generating improved alphas.This course is tailored for individuals who are actively seeking unique and unconventional methods to enhance their alpha generation capabilities and fortify their portfolio risk management strategies. It is designed to provide participants with a comprehensive understanding of alternative data sources and innovative techniques that deviate from traditional approaches.Expand your knowledge and gain a comprehensive understanding of the innovative methods employed by sophisticated, high-level investors and traders who are at the forefront of utilizing alternative data sources. Dig into the cutting-edge strategies they implement to extract valuable insights from unconventional data sets, enabling them to make more informed decisions, identify hidden opportunities, and stay ahead of the curve in today's competitive financial markets. By exploring the techniques used by these elite professionals, you will broaden your perspective on the potential applications of alternative data and learn how to exploit its power to enhance your own investment and trading practices.Explore carefully selected supplementary materials, so you can cover advanced subjects and scholarly research.
Who this course is for:
Aspiring traders, investors and analysts looking to enhance their strategies through the use of alternative data sources.
Students and academics interested in the uses and implications of alternative data in the financial markets.
Hobbyists looking to learn more about alternative data for trading and investing.
Homepage
https://www.udemy.com/course/alternative-data-for-algorithmic-trading-strategies/








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