Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
    data analytics for trademark registration
    Optimizing Trademark Registration with Data Analytics
    6 Min Read
    data analytics for finding zip codes
    Unlocking Zip Code Insights with Data Analytics
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How Online Stock Trading is Being Impacted by Big Data
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > How Online Stock Trading is Being Impacted by Big Data
AnalyticsBig DataExclusive

How Online Stock Trading is Being Impacted by Big Data

Ryan Kh
Ryan Kh
4 Min Read
big data analytics for trading data
Shutterstock Licensed Photo - By Robert Kneschke
SHARE

The widely adopted use of big data has redefined the landscape of many competitive industries, one of which is online stock market trading. Today, roughly 89% of all businesses believe in using analytics strategies to gain a competitive advantage in the market. This is especially true where larger corporations and organizations are using analytics and data to gain valuable insights and make better, well-informed business decisions. We are now seeing the use of big data in 4 major industries – technology, marketing, healthcare, and financial services.

Contents
Big Data Analytics and the Financial Services IndustryThe Changing Online Trading Landscape

Big Data Analytics and the Financial Services Industry

Big data analytics have been widely adopted in the financial services industry and is helping online traders make better investment decisions and seeing consistent returns in the process. Consequently, with the rapid changes occurring in stock market data, it has allowed investors quick and easy access to big data. Algorithmic trading now uses a great deal of historical data in conjunction with big data and complex mathematical formulas to help investors maximize the returns in their investment portfolios.

In the past, we crunched numbers and made decisions based on the implications that were drawn from market trends and calculated risks. Today, we use computers to do this on a massive scale and rely on a multitude of resources to reach more accurate conclusions. As a result, inputted data plays a significant role in influencing online trading decisions. A perfect example of one of these resources is Investors Hangout, a prime source of large amounts of data that has been input by investors.

The Changing Online Trading Landscape

In the online trading world, we are seeing an increased use of algorithms and machine learning to compute big data to make decisions and speculations about certain stocks that the average human mind does not have the capacity to handle. There are three different ways in which online trading is being influenced by big data:

More Read

Image
The Dirty (Not so Secret) Secret of IT Budgets
Why Are Organizations Still Struggling with Their Data?
How To Build A High-Performing Data Analytics Platform In The Cloud
The Promise and Perils of Text Analytics — Privacy
I Have a Query

To improve online trading by leveling the playing field – the current buzzword in the financial world is “algorithmic trading.”  Machine learning enables computers to make decisions that human beings would otherwise make while executing trades, but at much more rapid frequencies and speeds. With real-time analytics, you have the potential to improve the investment power of individuals as well as high-frequency trading firms.

To estimate probable outcomes and return rates on investments – financial analytics involves integrating principles that impact political, commodity pricing, and social trends. It is no longer about the examination of price behavior and pricing. Furthermore, increased big data access effectively mitigates the inherent risks of online trading and making more precise predictions.

To enhance machine learning and deliver accurate perceptions – we have yet to realize the full potential of machine learning technology. Consequently, the prospects for such applications cannot be measured. However, machine learning can help computers learn and make better decisions based on newer, updated information by employing logic and learning from our past mistakes. In so doing, more accurate perceptions can be delivered by utilizing these techniques. Although this technology is still in its developmental stages, the possibilities look very promising.

In conclusion, everyone from massive financial management firms to the weekend warrior can leverage big data to improve their investment performance. The more information you have at your fingerprints, the better you’ll be able to time the market and better execute trades. And smarter trades equal more profit for traders.

TAGGED:big databig data analyticstrading data
Share This Article
Facebook Pinterest LinkedIn
Share
ByRyan Kh
Follow:
Ryan Kh is an experienced blogger, digital content & social marketer. Founder of Catalyst For Business and contributor to search giants like Yahoo Finance, MSN. He is passionate about covering topics like big data, business intelligence, startups & entrepreneurship. Email: ryankh14@icloud.com

Follow us on Facebook

Latest News

agenic ai
How Businesses Are Using AI to Make Smarter, Faster Decisions
Artificial Intelligence Exclusive
accountant using ai
AI Improves Integrity in Corporate Accounting
Exclusive
ai and law enforcement
Forensic AI Technology is Doing Wonders for Law Enforcement
Artificial Intelligence Exclusive
langgraph and genai
LangGraph Orchestrator Agents: Streamlining AI Workflow Automation
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

big data helping small businesses
Big Data

5 Practical Applications of Big Data for Small Businesses

5 Min Read
data enrichment and analytics
AnalyticsBest PracticesBig DataData ManagementExclusive

How Data Enrichment Is A Force Multiplier In Analytics

5 Min Read
call analytics
Business IntelligenceCRMExclusiveKnowledge ManagementPredictive Analytics

Call Center Analytics Move The Industry Into The 21st Century

6 Min Read
data driven marketing
Big Data

Data-Driven Marketing: 4 Key Advantages

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?