Quantitative Trading

Online Course

Udacity
Quantitative Trading

What is the course about?

Quantitative Trading
The course Quantitative Trading is an online class provided by Udacity. It may be possible to receive a verified certification or use the course to prepare for a degree.
Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.
Course description
  • Quantitative Trading
  • 6 Months (10 hrs/week)
  • Learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. Use Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization.
  • Learn quantitative analysis basics, and work on real-world projects from trading strategies to portfolio optimization.
  • Learn about market mechanics and how to generate signals with stock data. Work on developing a momentum-trading strategy in your first project.
  • Learn the quant workflow for signal generation, and apply advanced quantitative methods commonly used in trading.
  • Learn about portfolio optimization, and financial securities formed by stocks, including market indices, vanilla ETFs, and Smart Beta ETFs.
  • Learn about alpha and risk factors, and construct a portfolio with advanced optimization techniques.
  • Learn the fundamentals of text processing, and analyze corporate filings to generate sentiment-based trading signals.
  • Learn to apply deep learning in quantitative analysis and use recurrent neural networks and long short-term memory to generate trading signals.
  • Learn advanced techniques to select and combine the factors you’ve generated from both traditional and alternative data.
  • Learn to refine trading signals by running rigorous back tests. Track your P&L while your algorithm buys and sells.
  • New to Python programming? Check out our free Intro to Data Analysis course. Need to refresh your statistical and algebra knowledge? Check out our free Intro to Statistics and Linear Algebra courses.
  • New to Python programming? Check out our free Intro to Data Analysis course.
  • Basic Quantitative Trading
  • Learn about market mechanics and how to generate signals with stock data. Work on developing a momentum-trading strategy in your first project.
  • Trading with momentum
  • Advanced Quantitative Trading
  • Learn the quant workflow for signal generation, and apply advanced quantitative methods commonly used in trading.
  • Breakout Strategy
  • Stocks, Indices, and ETFs
  • Learn about portfolio optimization, and financial securities formed by stocks, including market indices, vanilla ETFs, and Smart Beta ETFs.
  • Smart Beta and Portfolio Optimization
  • Factor Investing and Alpha Research
  • Learn about alpha and risk factors, and construct a portfolio with advanced optimization techniques.
  • Alpha Research and Factor Modeling
  • Sentiment Analysis with Natural Language Processing
  • Learn the fundamentals of text processing, and analyze corporate filings to generate sentiment-based trading signals.
  • Sentiment Analysis using NLP
  • Demand for quantitative talent is growing at incredible rates. Data-driven traders are now responsible for more than 30% of all US stock trades by investors (or about $1 trillion USD worth of investments, up from 14% in 2013). This scenario represents incredible opportunity for individuals eager to apply cutting-edge technologies to trading and finance.
  • Whether you want to pursue a new job in finance, launch yourself on the path to a quant trading career, or master the latest AI applications in trading and quantitative finance, this program will give you the opportunity to build an impressive portfolio of real-world projects. You will build financial models on real data, and work on your own trading strategies using natural language processing, recurrent neural networks, and random forests. You’ll also enjoy direct access to leading experts in the field, and get personalized project and career support.
  • To create the curriculum for this program, we collaborated with WorldQuant, a global quantitative asset management firm, as well as top industry professionals with prior experience at JPMorgan, Morgan Stanley, Millennium Management, and more. If your goal is to learn from the leaders in the field, and to master the most valuable and in-demand skills, this program is an ideal choice for you.
  • Graduates of this program will have the quantitative skills needed to be extremely valuable across many functions, and in many roles at hedge funds, investment banks, and FinTech startups.
  • Specific roles include:
  • If you’re a programmer, data analyst or someone with a strong quantitative background, this program offers you the ideal path to pursue a quant trading career and prepares you to seek out data science jobs across the financial ecosystem.

Prerequisites & Facts

Quantitative Trading

Course Topic

AI, Computer Science, Trading

University, College, Institution

Udacity

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Quantitative Trading

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (399 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udacity
Quantitative Trading
provided by Udacity

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School: Udacity
Topic: AI, Computer Science, Trading
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