Tags
Language
Tags
July 2025
Su Mo Tu We Th Fr Sa
29 30 1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 31 1 2
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Artificial Intelligence Agents and Neural Networks for Trade

    Posted By: BlackDove
    Artificial Intelligence Agents and Neural Networks for Trade

    Artificial Intelligence Agents and Neural Networks for Trade
    Published 08/2022
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
    Language: English | Size: 4.07 GB | Duration: 86 lectures • 11h 54m


    Build machine learning models for trading stocks.

    What you'll learn
    How to build machine learning models for stock trading
    Code in Python
    Understand artificial intelligence applications in finance
    Train and evaluate neural networks

    Requirements
    No experience needed
    Description
    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.

    Who this course is for
    Anyone interested in AI application in finance