Skip to main content
Quantitative Trading 101; The Complete Guide to Strategy, Tools, and Practice

Quantitative Trading 101; The Complete Guide to Strategy, Tools, and Practice

$199.00
When you get access:
Course access is prepared after purchase and delivered via email
How you learn:
Self-paced • Lifetime updates
Your guarantee:
30-day money-back guarantee — no questions asked
Who trusts this:
Trusted by professionals in 160+ countries
Toolkit Included:
Includes a practical, ready-to-use toolkit with implementation templates, worksheets, checklists, and decision-support materials so you can apply what you learn immediately - no additional setup required.
Adding to cart… The item has been added

Quantitative Trading 101: The Complete Guide to Strategy, Tools, and Practice



Course Overview

Welcome to Quantitative Trading 101, the ultimate course for traders and investors who want to master the art of quantitative trading. This comprehensive course covers everything you need to know to become a successful quantitative trader, from strategy and tools to practice and real-world applications. Upon completion of this course, participants will receive a Certificate of Completion.



Course Features

  • Interactive and engaging learning experience
  • Comprehensive curriculum covering all aspects of quantitative trading
  • Personalized learning experience with expert instructors
  • Up-to-date and practical content with real-world applications
  • High-quality content with expert instructors
  • Certificate of Completion upon finishing the course
  • Flexible learning schedule with lifetime access
  • User-friendly and mobile-accessible platform
  • Community-driven with discussion forums and live webinars
  • Actionable insights and hands-on projects
  • Bite-sized lessons for easy learning
  • Gamification and progress tracking to keep you motivated


Course Outline

Module 1: Introduction to Quantitative Trading

  • What is quantitative trading?
  • History of quantitative trading
  • Types of quantitative trading strategies
  • Advantages and disadvantages of quantitative trading
  • Overview of quantitative trading tools and platforms

Module 2: Quantitative Trading Strategies

  • Trend following strategies
  • Mean reversion strategies
  • Statistical arbitrage strategies
  • High-frequency trading strategies
  • Event-driven strategies
  • Global macro strategies

Module 3: Quantitative Trading Tools and Platforms

  • Overview of programming languages for quantitative trading (Python, R, MATLAB)
  • Introduction to popular quantitative trading libraries (Pandas, NumPy, SciPy)
  • Quantitative trading platforms (Quantopian, Alpaca, Interactive Brokers)
  • Data sources for quantitative trading (Quandl, Alpha Vantage, Yahoo Finance)
  • Backtesting and performance metrics (Sharpe ratio, Sortino ratio, Calmar ratio)

Module 4: Quantitative Trading Practice

  • Designing and implementing a quantitative trading strategy
  • Backtesting and evaluating a quantitative trading strategy
  • Risk management and position sizing
  • Portfolio optimization and diversification
  • Trade execution and market impact

Module 5: Advanced Quantitative Trading Topics

  • Machine learning for quantitative trading (supervised and unsupervised learning)
  • Natural language processing for quantitative trading (sentiment analysis, text analysis)
  • Alternative data sources for quantitative trading (social media, web scraping)
  • Quantum computing for quantitative trading
  • Blockchain and cryptocurrency trading

Module 6: Case Studies and Real-World Applications

  • Real-world examples of successful quantitative trading strategies
  • Case studies of quantitative trading failures and lessons learned
  • Industry trends and future directions in quantitative trading
  • Best practices for implementing quantitative trading strategies in a live trading environment
  • Regulatory considerations and compliance for quantitative traders

Module 7: Final Project and Course Wrap-Up

  • Final project: design and implement a quantitative trading strategy
  • Course wrap-up and review of key concepts
  • Discussion of future learning resources and next steps
  • Certificate of Completion ceremony


Course Format

This course is delivered online through a combination of video lectures, live webinars, discussion forums, and hands-on projects. Participants will have access to a user-friendly and mobile-accessible platform to complete coursework and track progress.



Course Duration

This course is self-paced and can be completed in approximately 12 weeks. Participants will have lifetime access to course materials and can complete coursework on their own schedule.



Prerequisites

There are no prerequisites for this course, but prior knowledge of programming languages (Python, R, MATLAB) and finance concepts is recommended.



Target Audience

This course is designed for traders and investors who want to master the art of quantitative trading, including:

  • Professional traders and investors
  • Individual investors and traders
  • Financial analysts and portfolio managers
  • Risk managers and compliance officers
  • Quantitative analysts and data scientists
,
!