Artificial Intelligence Agents and Neural Networks for Trade




Artificial Intelligence Agents and Neural Networks for Trade

Artificial Intelligence Agents and Neural Networks for Trade

Regression

  • often used to determine how many specific factors influence the price movement of an asset

  • helps investment and financial managers value assets and understand the relationships between variables

Option pricing

  • Decision tree often applied

  • Assumes the value of the underlying asset will rise or fall based on calculated probabilities at maturity date of the European option

Real option analysis

  • Valuing real options must be done with the use of decision trees

Corporate analysis

  • Use different features like product quality, economy status, competitors status, and appeal to determine whether to launch a product

What you can do

  • Maintain products

  • Prevent fraud

  • Trade

  • Analyze news, social media and sentiment

  • Recommend products

Neural networks

  • next-generation tool

  • great potential that can detect subtle non-linear interdependencies and patterns

    • other methods of technical analysis are unable to uncover

Alexandra Kropova is a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.

When does the course start and finish?

The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.

How long do I have access to the course?

How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.

What if I am unhappy with the course?

We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Build machine learning models for trading stocks.

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What you will learn
  • How to build machine learning models for stock trading
  • Code in Python
  • Understand artificial intelligence applications in finance

Rating: 0

Level: Beginner Level

Duration: 12 hours

Instructor: Mammoth Interactive


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