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Stock Market Prediction Using Artificial Intelligence
Rating: 3.6 out of 5(66 ratings)
301 students

Stock Market Prediction Using Artificial Intelligence

Learn the essentials to use Artificial Intelligence in the Stock Market and predict Stocks
Created byAkash Singh
Last updated 2/2025
English

What you'll learn

  • How to predict Stocks in Stock market
  • Using artificial intelligence to predict stock market trend
  • Stock market analysis
  • Understand how to use Python for machine learning
  • Test trading strategies using prediction tools
  • Develop and Implement your own Stocks target
  • Test Artificial intelligence prediction using historical data
  • Identify trading opportunities
  • Artificial intelligence

Course content

1 section7 lectures32m total length
  • Introduction0:42

    What you'll learn

    1. Learn to predict stocks using Artificial intelligence

    2. Use Google Colab notebook for coding

    3. To Utilise Python scripts for data analysis

    4. Importing modules to utilise features in Python

    5. Understand Basics of Machine Learning and Artificial Intelligence

    6. Use graph features of Plotly to visualise

  • Getting Started with Tools and Data6:30

    What you'll learn

    1. Learn to predict stocks using Artificial intelligence

    2. Use Google Colab notebook for coding

    3. To Utilise Python scripts for data analysis

    4. Importing modules to utilise features in Python

    5. Understand Basics of Machine Learning and Artificial Intelligence

    6. Use graph features of Plotly to visualise

  • Importing Modules to the Script4:50

    What you'll learn

    1. Learn to predict stocks using Artificial intelligence

    2. Use Google Colab notebook for coding

    3. To Utilise Python scripts for data analysis

    4. Importing modules to utilise features in Python

    5. Understand Basics of Machine Learning and Artificial Intelligence

    6. Use graph features of Plotly to visualise

  • Input Stock Data3:44

    Note: If you can't get data from Yahoo Finance, then there is a file attached here for you to use (AAPL.csv)

    What you'll learn

    1. Learn to predict stocks using Artificial intelligence

    2. Use Google Colab notebook for coding

    3. To Utilise Python scripts for data analysis

    4. Importing modules to utilise features in Python

    5. Understand Basics of Machine Learning and Artificial Intelligence

    6. Use graph features of Plotly to visualise

  • Splitting Data for the AI model7:56

    What you'll learn

    1. Learn to predict stocks using Artificial intelligence

    2. Use Google Colab notebook for coding

    3. To Utilise Python scripts for data analysis

    4. Importing modules to utilise features in Python

    5. Understand Basics of Machine Learning and Artificial Intelligence

    6. Use graph features of Plotly to visualise

  • Displaying Data2:39

    What you'll learn

    1. Learn to predict stocks using Artificial intelligence

    2. Use Google Colab notebook for coding

    3. To Utilise Python scripts for data analysis

    4. Importing modules to utilise features in Python

    5. Understand Basics of Machine Learning and Artificial Intelligence

    6. Use graph features of Plotly to visualise

  • Recap - Conclusion5:55

Requirements

  • Just a motivated mindset and excitement to learn!

Description


Introduction

The Future in Stock market is Algorithmic Trading. Big banks, hedge funds and institutional investors use computer-driven trading algorithms routinely. Algorithmic trading has revolutionized the stock market and its surrounding industry. Over 70% of all trades happening in the US right now are being handled by bots.

The question is that, can we make machines predict the value for a stock? Scientists, analysts, and researchers all over the world have been trying to devise a way to answer these questions for a long time now. Over the last few years, the decision making process in stocks, about what to invest in and when has increasingly been taken on by artificial intelligence.

This course is divided into 5 sections: 1) Getting started 2) Importing 3) Input stock data 4) Splitting Data and 5) Displaying data

The course contains the code you will need to replicate the results and from there develop your own Artificial intelligence based prediction tool.

This course is ideal for Intermediary and advanced level traders who are looking to add an edge to their strategy. You're going to take away a different approach at predicting stock market trend that isn't just based on theory.


What the students are saying:

"Cleared some shady topics"

5* ratings




Who this course is for:

  • Intermediate Traders who want to learn about predicting stock market with artificial intelligence
  • Beginner/Intermediary level traders looking for more tools and techniques
  • Struggling traders with a strong desire to improve their skills and become profitable