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Machine Learning basics, algorithms, concepts and techniques are the talk of the day! Machine Learning has dramatically altered every field. Dive into the basics of machine learning, and learn all about it.

Discover how Renan, a fixed-income trader with a neuroscience background, used EPAT to build systematic algorithms, apply mean reversion strategies, and work toward launching his own trading shop.

Discover how Edwin Lima moved from informal, guesswork-based trading to a more structured, professional trading approach through EPAT.

Discover how Brian moved from emotional manual trading to disciplined, systematic strategy building through EPAT, Python, and data-driven thinking.

In this article, we will understand how support vector machines work and its application in trading. We will also go through the maths behind the SVM and the process of using it in a non-linear model.

Learn about the basics of unsupervised learning algorithms and their use cases in Finance/Investment/Trading with examples in Python.

Build a Dify-based multi-agent workflow that turns a plain-English trading idea into a risk-managed Python backtesting script. Understand the agent roles, how the handoffs work, and how to adapt the example from the AI-in-Trading-Workflow GitHub repository.

We will focus on trading and how to use decision trees to find trading rules that allow us to gain an edge in the market.

What is a neural network and how does it work? How can you create a neural network with the famous Python programming language? In this tutorial, learn the concept of neural networks, their work, and their applications along with Python in trading.

Watch the algorithmic trading webinar recording covering Python and AI for trading, strategy development, and options risk management. Includes session recap, code files, and expert insights.

Proprietary trading is when firms trade using their own capital in financial markets. Learn what is proprietary trading, explore proprietary trading strategies, career opportunities, and key regulations such as the Volcker Rule.

Bearish candlestick patterns are chart signals that indicate potential price declines. Learn their meaning, types, examples, and how traders use them in trading strategies.

For all the Options lover here is a guide to Option’s long strangle strategy with an easy to follow example. You can also learn how to design a payoff chart for this strategy using Python Programming.

The Iron Condor options trading strategy is a combination of the bull put spread options trading strategy and bear call spread options trading strategy.

Broken Wing Butterfly is the same as a Butterfly Spread wherein the sold spread is typically wider spread than the purchased spread. Read all about it here.

This article explains the creation and execution of a Jade Lizard Strategy. Jade Lizard is a neutral or bullish and custom trading strategy.

Learn implementation, analysis, and optimisation techniques for straddle options trading strategy through Python. Elevate your trading skills with practical insights and Python application with a straddle option strategy.

Read how Adarsh Kumar transitioned from a commerce background to algorithmic trading through EPAT. See how he built skills in Python, trading strategies, and quantitative research before working on HFT models.

Synthetic Long Put Trading Strategy is a type of Options Trading Strategy created by combining of short stock position with a long call of the same series.

The Iron Butterfly Trading Strategy is a part of the Butterfly Spread Options and a combination of a bull spread and a bear spread.