AI in Trading
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Module 0: Get Started

0.1 Welcome to the course
0.2. Earned Recognition
0.3 How to Get Help
0.4 Course Overview
Module 1: Introduction to AI in Trading

1.1: State of the Art techniques and algorithms for trading bots.
1.2: How can a trading bot compare to a human broker? [Theory]
1.2.1: APIs [Theory and Practical]
1.2.2.1: Installations [Theory and Practical]
1.2.2.2: Installations [Theory and Practical]
1.3: Fundamentals of Trading Bots
1.4: Risk Management in AI Trading
Module 2: Building Your First Trading Bot

2.1.1: Data Acquisition via API. [Practical] (Part 1)
2.1.1: Data Acquisition via API. [Practical] (Part 2)
2.1.1: Data Acquisition via API. [Practical] (Part 3)
2.1.2: Plot the data using Plotly. [Practical] (Part 1)
2.1.2: Plot the data using Plotly. [Practical] (Part 2)
2.1.3: Get your own Alpaca Paper Money API key for simulated trading! [Practical]
3.2: Back testing

2.2: Let us code a basic DNN and train on custom data [Theory and Practical] (Part 1)
2.2: Let us code a basic DNN and train on custom data [Theory and Practical] (Part 2)
2.2: Let us code a basic DNN and train on custom data [Theory and Practical] (Part 3)
3.3: Predict the Model

2.3.1: Save the model and predict on hardcoded data. [Practical] (Part 1)
2.3.1: Save the model and predict on hardcoded data. [Practical] (Part 2)
Module 4: Where to from here?

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2.3.1: Save the model and predict on hardcoded data. [Practical] (Part 1)

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