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AI in Trading
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Free
AI in Trading
Course
24 Lessons
π°Merge the power of AI with the intricacies of financial markets. Our AI Trading Course blends technology and strategy for unparalleled trading insights. ππππ‘
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Contents
Module 0: Get Started
0.1 Welcome to the course
2 mins
139 MB
0.2. Earned Recognition
2 mins
115 MB
0.3 How to Get Help
2 mins
134 MB
0.4 Course Overview
7 mins
232 MB
Module 1: Introduction to AI in Trading
1.1: State of the Art techniques and algorithms for trading bots.
6 mins
115 MB
1.2: How can a trading bot compare to a human broker? [Theory]
9 mins
227 MB
1.2.1: APIs [Theory and Practical]
9 mins
98 MB
1.2.2.1: Installations [Theory and Practical]
5 mins
102 MB
1.2.2.2: Installations [Theory and Practical]
11 mins
305 MB
1.3: Fundamentals of Trading Bots
8 mins
127 MB
1.4: Risk Management in AI Trading
6 mins
70.3 MB
Module 2: Building Your First Trading Bot
2.1.1: Data Acquisition via API. [Practical] (Part 1)
13 mins
166 MB
2.1.1: Data Acquisition via API. [Practical] (Part 2)
7 mins
62.5 MB
2.1.1: Data Acquisition via API. [Practical] (Part 3)
10 mins
116 MB
2.1.2: Plot the data using Plotly. [Practical] (Part 1)
13 mins
159 MB
2.1.2: Plot the data using Plotly. [Practical] (Part 2)
9 mins
152 MB
2.1.3: Get your own Alpaca Paper Money API key for simulated trading! [Practical]
4 mins
60.3 MB
3.2: Back testing
2.2: Let us code a basic DNN and train on custom data [Theory and Practical] (Part 1)
15 mins
133 MB
2.2: Let us code a basic DNN and train on custom data [Theory and Practical] (Part 2)
12 mins
132 MB
2.2: Let us code a basic DNN and train on custom data [Theory and Practical] (Part 3)
19 mins
242 MB
3.3: Predict the Model
2.3.1: Save the model and predict on hardcoded data. [Practical] (Part 1)
18 mins
267 MB
2.3.1: Save the model and predict on hardcoded data. [Practical] (Part 2)
18 mins
267 MB
Module 4: Where to from here?
AI in Trading Course
8 mins
967 MB
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