Unparalleled Access to Financial Data for Trading

  • Course Coverage
    📊
    100,000+ financial instruments – Covering equities, FX, crypto, futures, and bonds.
    💡
    50+ global exchanges – Access real-time & historical market data.
    ⚡
    50+ financial indicators – Analyze fundamentals, ratios, and technical signals.
    📈
    Macroeconomic & sentiment data – Process news, GDP, inflation, and social trends.
    🏦
    Data sources & APIs – Integrate Yahoo Finance, AlphaVantage, Quandl, and more.

Comprehensive Coverage of Financial Data in Trading

  • Comprehensive Coverage of Financial Data
    📊
    Data Sources – Yahoo Finance, Quandl, FRED, AlphaVantage, and more.
    ⚡
    Real-time & Historical Data – Access data from 50+ global exchanges.
    🔍
    Preprocessing & Cleaning – Handling missing data, outliers, and normalization.

What Makes This Course Different?

  • ⚡
    Step-by-step data integration – Learn to collect, clean, and process market data.
    📊
    More in-depth than Udemy & others – Covers institutional-grade datasets.
    🏦
    Real-world financial datasets – Hands-on with equities, crypto, and macroeconomic data.
    📑
    Quizzes, certification & lifetime access – Validate skills and revisit anytime.

Course Curriculum

    1. Intro-Financial Data

    1. Data Types - Fundamental, Price, Analytics, Alternative Data

    2. Categories - Equities, Fixed Income, Crypto, fundamental, F&O

    3. Quiz 1 : Basics

    1. Free Data Sources

    2. Quiz 2 : Data Types and Usage

    1. Yahoo Finance - Importing the data

    2. Yahoo Finance - QuantAI's documentation and code

    1. Alphavantage - Importing Data

    2. Alphavantage - QuantAI's documentation and code

    1. FRED, Fundamental Analysis and Quandl - Importing data

    2. FRED - QuantAI's documentation and code

    3. Fundamental Analysis - QuantAI's documentation and code

    4. Quandl - QuantAI's documentation and code

    5. Quiz 3 : Data Sources
  • $30.00
  • 28 lessons
  • 1 hour of video content
  • Several modules and submodules
  • Several Quizzes and assignments
  • 10000+ Lines of code

  • 5+ modules

    Each module containing several videos with several hours content with multiple quizzes.

  • 10000+ lines of code

    Ready to use template for data download.

  • Course Certificate

    Certificate shareable on social media and in resumes.

  • Webinars

    Attend several webinars and session related to use of data in algorithmic trading.

  • Community

    Be a part of vibrant peer group

  • Affordable

    Much lower valuation compared to expensive $1000+ courses.

Meet Your Instructor

Esfandiar Haghverdi

Professor of Computer Science, Indiana University Bloomington

Research Areas: Quantitative Finance, Security and Privacy, Theoretical Computer Science, Logical Foundations of Informatics

Hariom Tatsat

VP, Barclays | Author | UC Berkeley MFE | IIT KGP

Extensive experience as a Quant in the areas of Predictive Modeling and Instrument Pricing. Co-author of the book "Machine Learning and Data Science Blueprints for Finance", published in December 2020 by O'Reilly. Machine Learning, AI and Fintech enthusiast.

Created by the Authors of the Leading Book on AI & Finance

Features of this book:

Book Features
📢 #1 New release on Amazon.com
📘 Ideal for finance professionals
📊 Master supervised learning models
📈 Build advanced trading strategies
🤖 Apply reinforcement learning techniques
📰 Use NLP for sentiment analysis
📉 Dimensionality reduction for portfolios
💡 20+ real-world case studies
🏦 Perfect for hedge funds, banks
💻 Code examples included for practice
Buy the book on Amazon

In Collaboration with the Author of "Python Algo Trading Cookbook

Features of this book:

Book Features
📖 Comprehensive guide to algorithmic trading in Python
📊 Real market data with hands-on implementation
⚙️ Covers multiple order types & trade execution
🔍 Step-by-step backtesting & strategy optimization
📈 Includes advanced technical indicators & trading strategies
Check the book on Amazon

Coming soon for "Algo Trading Strategies" modules

Run course strategies on "algobulls" cloud

Algo Trading Features
🤖 AI-powered strategy creation.
📑 Ready-made templates.
⚙️ Custom strategy building.
💻 Full control with coding.
Visit Algobulls

Top Universities offer this course to their students.

This course was selected and trusted by universities and organizations worldwide.

Career Outlook

$120k+

The average annual base pay for Python roles in the US.

8 Million

High demand for Python and data science in finance by 2026.

2 Million

Python and algorithmic trading could replace millions of jobs.

Frequently Asked Questions

  • Is there any support available after I purchase the course?

    Yes, you can ask your queries related to the course on the community. We try our best to reply to the questions asap. However, we might need 2-3 business days in answering the questions. It might take longer in case of complicated questions. Additionally, the python ecosystem, APIs and the functions keep on changing quite frequently. Although, we try to be up to date with the latest setup, but some issues due to the changing python ecosystem is expected.

  • Is there a refund available?

    We respect your time, and hence, we offer concise but effective short-term courses created under professional guidance. We try to offer the most value within the shortest time. Please check the price of the course before enrolling in it. Once a purchase is made, we offer complete course content. For more details on the refund policies see Click Here

  • Will I be getting a certificate post the completion of the programme?

    Yes. We provide the certificate after completion of all the quizzes in the course.

  • Is the course downloadable?

    Some of the course material is downloadable such as Python notebooks with strategy codes. We also guide you how to use these codes on your own system to practice further.

  • Can I follow my own schedule?

    Yes, the lectures are pre-recorded and have self-paced modules. You have lifetime access and can watch them whenever you'd like.

  • I'm completely new to Python. Will this work for me?

    It helps if you have some exposure to programming Python before taking the course. The first few sessions cover the basics of Python, but it ramps up quickly from there.

  • Who Should Take This Course

    Who Should Take This Course

    ★
    Quantitative Analysts – Buy/Sell Side professionals working with data-driven trading.
    ★
    Asset and Wealth Managers – Managing portfolios and investment strategies.
    ★
    C-Level Executives – CXOs in Finance and Tech looking to leverage data-driven decision making.
    ★
    Data Scientists & Analysts – Specializing in financial applications.
    ★
    Algorithmic Traders & Developers – Using Python for trading automation.
    ★
    Students & Graduates – Aspiring for finance and quant careers.
    ★
    Business & Financial Analysts – Seeking advanced analytical skills.
    ★
    Portfolio & Risk Managers – Managing financial risk effectively.
    ★
    Fintech Entrepreneurs – Building innovative finance solutions.
    ★
    Investment Bankers & Engineers – Enhancing financial modeling techniques.

Testimonials

“Whether you are a quantitative analyst in a hedge fund or investment banks looking to start building machine learning models in Python, or a machine learning student looking to work on a ML related project, look no further!”

Aman Kesarwani

“A really practical course. It has a GitHub code repo containing the python code for all case studies included with the course. The code can be easily customized for related ML/AI problems in Finance.”

John Larson

“Wonderfully organized and structured. The case studies to supplement theoretical explanation is something strong highlight of the course. ”

Matt Brandon

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