$150k+

The average salary for quantitative analysts and algorithmic traders using statistics.

85% of hedge funds

Use advanced statistical models for risk management and strategy development.

$4.5 trillion

The estimated global market impact of statistical arbitrage and quant-driven strategies.

Why Statistics is Essential for Algorithmic Trading?

  • Statistics for Algo Trading
    📊
    The Core of Quantitative Trading – Hedge funds and prop firms rely on statistics for trading decisions.
    📈
    Data-Driven Trading Strategies – Statistical models detect patterns, inefficiencies, and market anomalies.
    ⚡
    Risk & Portfolio Optimization – Use econometric models to quantify and mitigate financial risk.
    🏦
    Real-World Applications – Firms like Renaissance Technologies and Citadel use econometrics for alpha generation.

Comprehensive Coverage of Statistics & Econometrics for Trading

  • Statistics Curriculum
    📌
    Fundamentals of Statistics – Probability, distributions, and hypothesis testing in financial data.
    📉
    Time-Series Modeling – ARMA, ARIMA, and GARCH for asset price forecasting.
    🔍
    Stationarity & Cointegration – Essential for statistical arbitrage and pairs trading.
    📊
    Econometrics in Finance – Factor models, volatility modeling, and backtesting statistical strategies.

Real-World Applications & Hedge Fund Strategies

  • Hedge Fund Strategies
    🏦
    Statistical Arbitrage – Mean reversion and cointegration models used by hedge funds.
    📉
    Volatility Forecasting – GARCH models for risk and portfolio management.
    📡
    High-Frequency Trading – Using statistics for trade execution optimization.

What Makes This Course Different?

  • What Makes This Course Different?
    ⚡
    Step-by-step strategy implementation – Build, test, and optimize statistical models.
    📊
    Deeper than Udemy & others – Covers real hedge fund trading techniques.
    💡
    Practical focus, not just theory – Apply statistics in real trading.
    🏦
    Quant interview prep included – Case studies and hedge fund questions.
    📑
    Quizzes, certification & lifetime access – Validate skills and revisit anytime.

Course Curriculum

    1. Intro-Statistics and Econometrics

    2. Course Code

    1. Basics - Mean & variance

    2. Basics - Measure of Dispersion

    3. Basics - Variance and Standard Deviation

    1. Hypothesis Testing Intro

    2. Hypothesis Testing Test Statistics

    3. Hypothesis Testing on mean and variance

    4. Quiz : Basics

    1. Linear Regression - Intro and basics

    2. Linear Regression - metrics and evaluations

    3. Linear Regression - OLS, error and assumptions

    4. Linear Regression - Instability and Multicollinearity

    5. Linear Regression - Multiple Linear Regression and tests

    6. Linear Regression - Heteroskedasticity and multicollinarity

    7. Quiz : Linear Regression

    1. Time series - Decomposition and Stationarity

    2. Time series - Stationarity II & ARIMA

    3. Time series - ARMA, ARIMA and SARIMAX

    4. Time series - Stationarity tests, ACF, PACF

    5. Time series - Model Usage and Tests

    6. Time Series - Statistical Arbitrage and Cointegration

    7. Quiz : Time Series

    1. Using Statistical Tests for Algo Trading

    2. Statistical Tests - Use for strategies
  • $49.00
  • 28 lessons
  • 4 hours of video content
  • 10+ Modules
  • Several Quizzes and assignments
  • 10000+ Lines of code

  • 11 modules

    Each module containing several videos with 5+ hours content with several quizzes.

  • 10000+ lines of code

    Plug and play machine learning master templates and code for 15+ case studies

  • Course Certificate

    Certificate shareable on social media and in resumes.

  • Webinars

    Attend several webinars and session related to course and latest updates on Financial Machine Learning

  • 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.

  • 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.

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.

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.

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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