$150k+

The average annual base pay for quantitative analysts and algorithmic traders.

80% of Market Trades 

Algorithmic trading now dominates over 80% of global financial markets.

$5 Trillion+ Industry

The algorithmic trading industry is projected to reach $5 trillion by 2030.

Master the basics of Algo Trading

  • Why Learn Algorithmic Trading?
    📈
    Master Market & Trading Instruments – Learn order types, market structures, and execution methods.
    💡
    Understand Why Algorithmic Trading Matters – Explore its advantages over manual trading.
    ⚡
    Build Systematic Trading Strategies – From momentum to AI-driven models.
    🏦
    Real-World Hedge Fund Techniques – Learn data-driven approaches used by top firms.

Comprehensive Coverage of Algorithmic Trading

  • Comprehensive Coverage of Algorithmic Trading
    📌
    Introduction to Algo Trading – Learn how financial markets interact with trading systems.
    📊
    Strategy Development – Momentum, factor-based, event-based, and AI-powered models.
    ⚡
    Algo Trading System Components – Data, execution, backtesting, and performance metrics.
    📉
    Risk Management & Portfolio Optimization – Limit losses and improve strategy robustness.

Extensive Coverage of Backtesting & technical analysis

  • Extensive Coverage of Backtesting & Technical Analysis
    📉
    Technical Analysis – Moving averages, RSI, Bollinger Bands, and trend indicators.
    📊
    Backtesting Frameworks – Evaluate strategy performance with real market data.
    ⚡
    Automated Strategy Testing – Optimize and deploy trading models.

What Makes This Course Different?

  • ⚡
    Step-by-step strategy implementation – Build, test, and optimize trading models.
    📊
    More in-depth than Udemy & others – Covers hedge fund-level techniques.
    🏦
    Hedge fund interview prep – Quant interview questions and case studies included.
    📑
    Quizzes, certification & lifetime access – Validate skills and revisit anytime.

Course Curriculum

    1. Course Introduction

    1. Basics - Markets, Instruments, and Algorithmic Trading

    2. Quiz 1 : Basics

    3. Basics : Order Types and Algo Trading steps

    4. Quiz 2 : Order Types

    1. Strategy Types - Momentum & mean reversion

    2. Strategy Types - AI and Machine Learning, Event Based and Factor based

    3. Strategy Types - Factor Based and Market Making

    4. Quiz - Basics and Strategy Types

    1. How to generate Algo Trading Idea

    1. Algo Trading steps, Data & Backtesting

    2. Quiz- Risk Management

    3. Paper Trading & Live Trading

    4. Quiz - components

    1. Sample Trading Strategy

    2. Sample Trading Strategy - Code
  • Free
  • 17 lessons
  • 1 hour of video content
  • 5+ Modules, 15+ sub-modulesSeveral
  • Several Quizzes

  • 5 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 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.

Who Should Take the Python in Finance Course

  • ★ Quantitative Analysts (Buy/Sell Side)
  • ★ Asset and Wealth Managers
  • ★ C-Level Executives (CXOs) in Finance and Tech
  • ★ Data Scientists and Analysts in Finance
  • ★ Algorithmic Traders and Python Developers
  • ★ Students and Graduates Aspiring for Finance Careers
  • ★ Business and Financial Analysts
  • ★ Portfolio and Risk Managers
  • ★ Fintech Entrepreneurs and Startups
  • ★ Investment Bankers and Financial Engineers

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

Testimonials

“This course provided me with a high level understanding of financial markets and how to develop trading strategies. The step-by-step approach made complex topics like backtesting and risk management easy to apply in real-world scenarios.”

James P., Aspiring Algo Trader

“I learned skills that I could immediately put to use in my own trading journey.”

Michael L., Data Scientist

“The lessons on strategies were especially helpful for building effective and innovative models.”

Ananya S., Financial Analyst

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.

  • 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.

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