Using artificial intelligence to predict stock market
- 5
-
![]()
![]()
![]()
![]()
![]()
Brief Introduction
Learn the essentials to use Artificial Intelligence in the Stock MarketDescription
What you'll learn
Learn to predict stocks using Artificial intelligence
Use Google Colab notebook for coding
To Utilise Python scripts for data analysis
Importing modules to utilise features in Python
Understand Basics of Machine Learning and Artificial Intelligence
Use graph features of Plotly to visualise
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 revolutionised 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.
Requirements
- Requirements
- None
Akash Singh
5 Raiting
Deep Learning A-Z™: Hands-On Artificial Neural Networks
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included. *** As seen on Kickstarter ***...
Python, Machine Learning and Algorithmic Trading Masterclass
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Are you interested in how people successfully trade and invest? Learn how to break in and dominate the world of finance!...
Python: A-Z Artificial Intelligence with Python: 5-in-1
- 3.9
-
![]()
![]()
![]()
![]()
![]()
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you. Are you a Python developer who is interested to build real-world Artificial Intelligence applications?...
Lazy Trading Part 7: Developing Self Learning Trading Robot
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Learn to assemble Smart Learning Algorithms. Predict future price change based on financial data patterns "No one can promise that this will work, at least it will work by itself!"...
