Trading Tutorials

[Download] Udacity – Artificial Intelligence for Trading nd880 v1.0.0

[Download] Udacity - Artificial Intelligence for Trading nd880 v1.0.0

Download Files Size:

7.32 GB



Why Take This Nanodegree Program?

In this program, you’ll analyze real data and build financial models for trading. 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 quantitative finance, this program offers you the opportunity to master valuable data and AI skills.

Learn from top finance professionals

We collaborated with WorldQuant and top industry professionals with prior experience at JPMorgan, Morgan Stanley, and Millennium Management to ensure you learn the latest AI applications in trading and quantitative finance.

Work on your own trading strategies

Advance your finance knowledge, and build a strong portfolio of real-world projects. Build financial models with real data, and learn to generate trading signals using natural language processing, recurrent neural networks, and random forests.

Get personalized feedback and support from mentors

Your assigned in-classroom mentor will provide feedback on your projects and support you throughout your learning journey. You’ll also be part of a supportive peer community.

Office hours with industry experts

Connect with finance professionals who have worked at top hedge funds, investment banks, and Fintech startups, who can provide you with actionable insights and guidance.

What You Will Learn

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.

Estimated 6 months to complete

  • 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.


Advance your Career

This program was built in collaboration with WorldQuant, and top professionals from leading financial institutions, to ensure your long-term success in quantitative finance. The skills you learn will prepare you for a wide range of quant finance jobs in hedge funds, investment banks, and FinTech startups.

  • 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.

    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.

  • 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

    • Basic data structures
    • Basic Numpy


    • Mean, median, mode
    • Variance, standard deviation
    • Random variables, independence
    • Distributions, normal distribution
    • T-test, p-value, statistical significance

    Calculus and linear algebra

    • 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
  • How is this Nanodegree program structured?

    The Artificial Intelligence for Trading Nanodegree program is comprised of content and curriculum to support eight (8) projects. Once you subscribe to a Nanodegree program, you will have access to the content and services for the length of time specified by your subscription. 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 period noted in the Term length section above.

    See the Terms of Use and FAQs for other policies around the terms of access to our Nanodegree programs.

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

    Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.

  • 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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