EPAT: The comprehensive course to build, automate, and deploy AI/ML trading strategies for stocks and other financial markets using Python.

Algorithmic Trading Course: Build AI & ML Strategies for Stocks & Finance

EPAT empowers finance professionals, coders, and traders worldwide to build successful algorithmic trading careers with practical AI and Machine Learning applications

What You’ll Learn

Algorithmic Trading with AI and Machine Learning Applications

Build algorithmic trading strategies using Python and real market data (including stock data)

Apply AI models in trading to develop intelligent, automated decision-making systems

Use machine learning trading techniques like random forests, gradient boosting, and support vector machines

Develop AI-driven trading strategies using neural networks, including RNN, LSTM, and CNN

Apply natural language processing (NLP) and AI-based sentiment analysis to leverage alternative data from news and social media

Learn core algorithmic trading areas such as electronic market-making, derivatives trading, risk management, and trading technology

120+

Hours Live Lectures

13000+

Five-Star Reviews

World Class Faculty

300+

Hiring Partners

EPAT - Executive Programme in Algorithmic Trading

The Executive Programme in Algorithmic Trading (EPAT) at QuantInsti is designed for professionals planning to start their own trading desk and those looking to grow in the field of Algorithmic and Quantitative Trading.

The program equips you to enhance automated, AI-driven trading. Learn to build and deploy sophisticated strategies for high-frequency trading, day trading, and long-term investments in the stock market and other financial instruments. The program also equips you to apply AI and Machine Learning techniques in trading, helping you build future-ready strategies.

EPAT helps traditional traders, coders, and finance professionals successfully transition into automated algorithmic trading by covering core strategies, trading technology, derivatives, quantitative trading, electronic market-making, and risk management.

programme benefits

World-Class Faculty

Learn from the best in the industry

Dedicated Support

Get answers to all your queries super quick

Career Services

Avail lifetime placement and career assistance

Certificate

EPAT is accredited by CPD, UK (Continuing Professional Development, UK)

EPAT is recognized by IBF, Singapore (Institute of Banking and Finance) under the FTS scheme

QuantInsti has registered this program with GARP for Continuing Professional Development (CPD) credits. Attending this program qualifies for 30 GARP CPD credit hours. If you are a Certified Financial Risk Manager (FRM®), or Energy Risk Professional (ERP®), please record this activity in your Credit Tracker.

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PLACEMENT PARTNERS

FAQs

What are the prerequisites for EPAT? Is it suitable for beginners in finance or coding?

EPAT is built for professionals, but it is structured to accommodate learners with different backgrounds. While some knowledge of finance or programming is helpful, the first modules cover the foundational concepts of Python and Algorithmic Trading. The course is ideal for motivated individuals transitioning into AI-driven stock trading, even if you are a beginner to advanced concepts like machine learning.

How does EPAT make you capable of using AI and Machine Learning models in trading?

EPAT teaches you to apply machine learning techniques, build models using Python, and develop AI-based trading strategies. You will explore supervised and unsupervised algorithms, neural networks, reinforcement learning, and NLP applications with real stock trading data. The program emphasizes practical skills, model validation, risk management, and avoiding overfitting.

Does EPAT cover neural networks and deep learning for trading?

Yes. EPAT covers neural networks including multi-layer perceptrons (MLP), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN) to help you build advanced AI-driven trading strategies.

Will I learn to work with sentiment data and alternative data in EPAT?

Yes. The program covers natural language processing (NLP) techniques and teaches you to analyze alternative data such as social media, machine-readable news, and sentiment signals to enhance your trading strategies.

Does the course include reinforcement learning for trading?

Yes. EPAT introduces reinforcement learning concepts and covers reward function design, market complexity, and the use of neural networks to approximate large state spaces for trading strategy development.