Algo Trading Framework
Master the framework of algorithmic trading with a set of courses covering Python, Statistics, Financial Concepts, and Data Analysis. All in one place.
Course Features
15+ hours
Video Content
10,000+
Lines of ready-to-use Python code
35+ Modules
Comprehensive coverage of Python, Statistics & Algo Trading
Quizzes, Interview Questions & Certificate
A complete package
Courses included
Here are all the courses that are included in your bundle.
-
Python for Algo Trading
Course β’ 45 lessonsGain practitioner-level skills with Python for algo trading with coverage of libraries including Pandas, Numpy and Matplotlib
-
Stats and Econometrics for Algo trading
Course β’ 28 lessonsIncrease Your Statistics and Econometrics skillsβ Highly Valued for Algo Trading And Sought After By Employers
-
Financial Concepts of Algo Trading
Course β’ 17 lessonsLearn introductory concepts, terms and ideas in Algo Trading
-
Financial Data
Course β’ 28 lessonsFinancial data and sources for Algorithmic Trading
Why learn algo trading ?
$150k+
Average salary for financial quants & algo traders.
80%+
Market trades rely on data-driven strategies.
$5T+
Algorithmic trading industry value by 2030.
2M+ Jobs
Rise in demand for Python, AI & financial data skills.
Course 1 - Python for Finance
What will you learn ?
-
Master Python fundamentals and essential libraries like NumPy, Pandas, and Matplotlib for financial data analysis.
-
Learn to import, scrape, and preprocess real-world financial data for in-depth analysis.
-
Design, backtest, and optimize trading strategies using professional tools like Backtrader, Zipline, Alphalens, and Ta-lib.
-
Gain hands-on experience with live trading, backtesting, and paper trading on an integrated cloud platform.
Course 2 - Stats and Econometrics
What Will You Learn?
-
Core statistical concepts β Probability, distributions, and hypothesis testing for trading.
-
Time-series modeling β ARMA, ARIMA, and cointegration for price prediction and strategy design.
-
Statistical tests for trading β ADF, Johansen, and Hurst exponent for market trend validation.
-
Risk & portfolio optimization β Volatility modeling, factor investing, and market anomaly detection.
-
Backtesting & strategy evaluation β Quantitative techniques to measure and improve trading performance.
Course 3 - Financial Concepts
What will you learn ?
-
Master the fundamentals of financial markets, trading instruments, and market structure.
-
Learn about trading strategies like momentum, mean reversion, and AI-driven methods.
-
Concepts about idea generation related to algo trading. orld markets.
-
Learn about algo trading components and building algo trading systems.
-
Apply your skills by developing and testing a complete algorithmic trading strategy.
View details and purchase separately
Course 4 - Financial Data
Master financial data for algorithmic trading.
-
Access real-time and historical data for 100,000+ instruments across 50+ global exchanges.
-
Ready to use python code to download data from several sources across almost all asset classes.
-
Analyze fundamentals, calculate financial ratios, and use 50+ technical indicators for trading signals.
-
Retrieve tweets, news, and resample data while monitoring GDP and inflation for adjustments.
-
Explore equities, FOREX, cryptocurrencies, and commodities to build diversified algorithmic trading strategies.
View details and purchase separately
Course creators and instructors
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:
π’ #1 New release on Amazon.com
π Ideal for finance professionals
π Master supervised learning models
π Build advanced trading strategies
π€ Apply reinforcement learning techniques
π° Use NLP for sentiment analysis
π Dimensionality reduction for portfolios
π‘ 20+ real-world case studies
π¦ Perfect for hedge funds, banks
π» Code examples included for practice
In Collaboration with the Author of "Python Algo Trading Cookbook
Features of this book:
π Comprehensive guide to algorithmic trading in Python
π Real market data with hands-on implementation
βοΈ Covers multiple order types & trade execution
π Step-by-step backtesting & strategy optimization
π Includes advanced technical indicators & trading strategies
Top Universities offer this course to their students.
This course was selected and trusted by universities and organizations worldwide. 
Coming soon for "Algo Trading Strategies" modules
Run course strategies on "algobulls" cloud
π€ AI-powered strategy creation.
π Ready-made templates.
βοΈ Custom strategy building.
π» Full control with coding.
Testimonials
βThis course simplified algo trading and helped me turn ideas into real trading strategies. The hands-on approach and clear explanations made it easy to apply concepts to the markets. I feel more confident in my trading decisions now!β
John Larson
βA must for anyone serious about algorithmic trading! I learned how to automate strategies and analyze financial data using Python. This course gave me the skills to stand out in the competitive finance industry.β
Aman Kesarwani
βThis course bridges the gap between finance and coding. I quickly learned how to backtest strategies and automate trades. Itβs practical, beginner-friendly, and essential for staying ahead in finance.β
Matt Brandon
Who Should Take the Python in Finance Course
- β Quantitative Analysts (Buy/Sell Side)
- β Asset and Wealth Managers
- β C-Level Executives (CXOs) in Finance and Tech
- β Data Scientists and Analysts in Finance
- β Algorithmic Traders and Python Developers
- β Students and Graduates Aspiring for Finance Careers
- β Business and Financial Analysts
- β Portfolio and Risk Managers
- β Fintech Entrepreneurs and Startups
- β Investment Bankers and Financial Engineers
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.
Subscribe to Newsletter
Get educational content and details about latest developments.