Home MarketXLS
Dashboard MarketXLS
Screener MarketXLS
Stock Ranks MarketXLS
Spreadsheet Builder MarketXLS
Logout MarketXLS

Introduction To Machine Learning In Stock Markets

Written by Param Shah
Mon Jul 12 2021
machine learning
See how MarketXLS helps you take advantage in the markets.
Download Option Templates →
machine learning

Machine learning is the usage of Artificial Intelligence for predicting future results or trends by feeding it historical human data. The ai gradually learns to adapt to the past trends and improves over time in extrapolating those trends to future scenarios. Machine learning has been in the limelight for the past decade, and it is gradually getting better by the day as it gets fed more and more data.

“Artificial Intelligence is to trading what fire was to the caveman.” 

It means that we shouldn’t be scared of AI replacing us. Instead, we should embrace it and use it as a tool to maximize our efficiency. AI isn’t a threat; it is a solution.

Uses Of Machine Learning In The Stock Market

  1. Machine Learning can be used to predict future market trends based on past historical data and can suggest to the users the general trend the market is about to follow.
  1. It can help traders keep track of their transactions in the market without any extra effort. It can also provide meaningful insights about those transactions and give a risk report of the portfolio.
  1. AI can also analyze stocks using technical and fundamental indicators and recommend favorable stocks to the user.
  1. AI can remove the need for active participation in the market. It can execute the instructions provided by you on your behalf.
  1. Since anyone with basic coding knowledge and some work can develop a machine learning algorithm, it reduces the gap between the casual investor and the investing companies.
  1. Besides predicting stock market trends, AI can also predict general sectoral trends and can give a list of emerging sectors that could potentially become big in the future.
  1. AI can also be programmed to invest into new sectors where the investor does not have any knowledge or experience.
  1. Some machine learning softwares are dedicated to speed trading i.e., to grab the opportunities at the earliest and to book a profit.

Disadvantages Of Machine Learning In The Stock Market

  1. AI-related tools and methods are wholly dependent on the historical data provided to them during development. They can’t verify the quality of the data fed to them. If the data provided is inadequate or faulty, it can hamper the predictions.
  1. AI doesn’t have the emotional intelligence which humans possess, hence it’s difficult for it to predict the human influence in the stock market.
  1. According to Seth Weingram, director of the client advisory at $US97 billion Acadian Asset Management, “people chasing the market with AI might end up gaining nothing, and the risk is that there is not enough data to train the algorithms.” (Galouchko 2019)
  1. Ai is also completely powered by electricity and is completely virtual, meaning it is prone to cyber attacks and electrical outages.
  1. Ai-driven programs can sometimes over analyse the data, which might cause uncertainty, and hence investors need to be cautious.
  1. Using machine learning-based software can prove dangerous if the user does not have adequate knowledge about the working of the software. They might take a few wrong steps and could result in losses.

Real-Life Examples

1. Sigmoidal is a consulting firm that offers end-to-end machine learning, data science, AI, and software development for business — including the trading sector. In one case, its team of experts helped formulate an investment strategy by developing an intelligent asset allocation system that used deep learning to predict every asset in a particular portfolio.

2.Startup AITrading’s “trading ecosystem” combines AI and the trading community to increase earnings by scanning markets to locate optimal trading opportunities. Deals are done via blockchain-based smart contracts.  

(source – https://builtin.com/artificial-intelligence/ai-trading-stock-market-tech)

Bottom Line –

The future for machine learning in the field of stock markets looks positive. It will act as a tool for investors to safely place their bets and also to increase their efficiency and overall market returns. It will also help reduce market inefficiencies and streamline operations. Ai with sound data can do wonders for the investor but it should be used cautiously otherwise it might result in incorrect predictions and huge losses.


All trademarks referenced are the property of their respective owners. Other trademarks and trade names may be used in this document to refer to either the entity claiming the marks and names or their products. MarketXLS disclaims any proprietary interest in trademarks and trade names other than its own, or affiliation with the trademark owners.
None of the content published on marketxls.com constitutes a recommendation that any particular security, portfolio of securities, transaction, or investment strategy is suitable for any specific person. The author is not offering any professional advice of any kind. The reader should consult a professional financial advisor to determine their suitability for any strategies discussed herein. The article is written for helping users collect the required information from various sources deemed to be an authority in their content. The trademarks if any are the property of their owners and no representations are made.

References –




Interested in building, analyzing and managing Portfolios in Excel?
Download our Free Portfolio Template
Download Option Templates
Stock screens
Public saved screens

Top 100 Gainers Today

Top 100 losers Today

Call: 1-877-778-8358
Ankur Mohan MarketXLS
I am so happy you are here. My name is Ankur and I am the founder/CEO of MarketXLS. Over the past four years, I have helped more than 2500 customers to implement their own investment research strategies and monitoring systems in Excel.
Get Access to 1 Billion Usable Market data points IN YOUR EXCEL SHEETS WITH EASY TO USE EXCEL FUNCTIONSGet started today
Search for a stock

Get Access to 1 Billion Usable Market data points IN YOUR EXCEL SHEETS WITH EASY TO USE EXCEL FUNCTIONS

Get started today

Top MarketXLS Rank stocks

STORE Capital Corporation logo

STORE Capital Corporation

Optionable: Yes
Market Cap: 8,978 M
Industry: REIT - Diversified
52 week range    
Dillard's Inc. logo

Dillard's Inc.

Optionable: Yes
Market Cap: 5,077 M
Industry: Department Stores
52 week range    
Williams-Sonoma Inc. (DE) logo

Williams-Sonoma Inc. (DE)

Optionable: Yes
Market Cap: 8,796 M
Industry: Specialty Retail
52 week range    
ICF International Inc. logo

ICF International Inc.

Optionable: Yes
Market Cap: 2,040 M
Industry: Business Services
52 week range    
First Interstate BancSystem Inc. logo

First Interstate BancSystem Inc.

Optionable: Yes
Market Cap: 4,622 M
Industry: Banks - Regional - US
52 week range    
Global Cord Blood Corporation logo

Global Cord Blood Corporation

Optionable: Yes
Market Cap: 317 M
Industry: Biotechnology
52 week range    
Penske Automotive Group Inc. logo

Penske Automotive Group Inc.

Optionable: Yes
Market Cap: 7,684 M
Industry: Auto & Truck Dealerships
52 week range    
General Mills Inc. logo

General Mills Inc.

Optionable: Yes
Market Cap: 44,923 M
Industry: Packaged Foods
52 week range    
Allegiance Bancshares Inc. logo

Allegiance Bancshares Inc.

Optionable: Yes
Market Cap: 883 M
Industry: Banks - Regional - US
52 week range    
National Research Corporation logo

National Research Corporation

Optionable: No
Market Cap: 948 M
Industry: Diagnostics & Research
52 week range    

More Features