Artificial Intelligence for Trading

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Quantitative Trading

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.

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

Advanced Natural Language Processing with Deep Learning

Learn to apply deep learning in quantitative analysis and use recurrent neural networks and long short-term memory to generate trading signals.

DEEP NEURAL NETWORK WITH NEWS DATA

Combining Multiple Signals

Learn advanced techniques to select and combine the factors you’ve generated from both traditional and alternative data.

COMBINE SIGNALS FOR ENHANCED ALPHA

Simulating Trades with Historical Data

Learn to refine trading signals by running rigorous back tests. Track your P&L while your algorithm buys and sells.

All Our Programs Include

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.

Personal career coach and career services

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program Offerings

Enrollment Includes:

CLASS CONTENT

Content co-created with WorldQuant

Real-world projects

Project reviews

Project feedback from experienced reviewers

STUDENT SERVICES

Technical mentor support

NEW

Student community

IMPROVED

CAREER SERVICES

Personal career coaching

NEW

Interview preparations

Resume services

Github review

LinkedIn profile review

Program Details

PROGRAM OVERVIEW – WHY SHOULD I TAKE THIS PROGRAM?

Why should I enroll?

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.

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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.

What jobs will this program prepare me for?

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:

• Quantitative analyst
• Quantitative researcher
• Investment analyst
• Data intelligence analyst
• Risk analyst
• Desk quant
• Desk strategist
• Financial engineer
• Financial data scientist
• How do I know if this program is right for me?
• 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.

ENROLLMENT AND ADMISSION

Do I need to apply? What are the admission criteria?

No. This Nanodegree program accepts all applicants regardless of experience and specific background.

What are the prerequisites for enrollment?

The Artificial Intelligence for Trading Nanodegree program is designed for students with intermediate experience programming with Python and familiarity with statistics, linear algebra and calculus. In order to successfully complete this program, you should meet the following prerequisites:

Python programming

Statistics

Calculus and linear algebra

• Basic data structures
• Basic Numpy
• Mean, median, mode
• Variance, standard deviation
• Random variables, independence
• Distributions, normal distribution
• T-test, p-value, statistical significance
• Integrals and derivatives
• Linear combination, independence
• Matrix operations
• Eigenvectors, eigenvalues
• If I do not meet the requirements to enroll, what should I do?

We have a number of short free courses that can help you prepare, including:

• Intro to Data Analysis
• Intro to Statistics
• Linear Algebra

TUITION AND TERM OF PROGRAM

• How is this Nanodegree program structured?

  The Artificial Intelligence for Trading Nanodegree program is comprised of content and curriculum to support eight (8) projects. We estimate that students can complete the program in six (6) months working 10 hours per week.
  Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

• How long is this Nanodegree program?

  Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

• Can I switch my start date? Can I get a refund?

  Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

SOFTWARE AND HARDWARE – WHAT DO I NEED FOR THIS PROGRAM?

• What software and versions will I need in this program?

  To successfully complete this Nanodegree program, you’ll need to be able to download and run Python 3.7.

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