Sharekhan Blog

How AI and Machine Learning are Transforming the Market

  • Aug 8, 2024

Imagine a time when you had to call up your broker to simply place an equity trading order on stock exchanges. This was a reality just a few decades ago. Who would have thought that the equity trading landscape would change so quickly and drastically? Today, you can place equity orders with your fingertips, using your smartphone or just a computer. Similarly, you can read up on news, get to know more about companies and research stocks online. With the digitisation of financial market transactions, the process of buying and selling securities is getting smoother. Additionally, with the introduction of Artificial Intelligence (AI) and Machine Learning (ML), things are expected to get smarter too.  

Let’s find out what AI and ML are like to transform the equity trading landscape and what’s in it for you.

What is AI and ML?

You must have heard about AI and ML changing the way things work in different areas of life. From personalised recommendations on streaming platforms like Netflix to writing resumes and even guiding you on your health concerns, AI and ML have started becoming integral parts of our lives. So what is AI and ML?

AI, or Artificial Intelligence, involves computer systems that mimic human intelligence to perform tasks such as learning from data and making decisions. Machine Learning (ML) is a subset of AI. It involves algorithms that automatically improve through experience. ML can analyse vast amounts of data to uncover patterns and insights, enhancing everything from customer experiences in e-commerce to assisting with analytics for improved decision-making in equity trading. 

Today, experts are looking up to AI and ML to automate complex processes and deliver more personalised and efficient solutions in equity trading. Let’s find out how these technologies may improve your equity trading experience.

How AI and Machine Learning Can Help in Market Analysis

Traditionally, if you are engaging in equity trading, you would spend hours analysing the stock market by conducting manual research. This requires extensive time and effort. However, AI can now perform such tasks within a few seconds. It can quickly identify trends and patterns to help you make effective trading decisions.

With ML, you can have improved predictions while equity trading. This technology can learn from past data and update with new information to come up with more accurate predictions.

For example, if you trade stocks based on the latest news, ML can quickly analyse news articles, social media posts, and other data. It can spot patterns from millions of data points that might indicate a stock's rise or fall. Since ML involves ongoing learning, it can ensure that your trading strategies are updated with the latest market trends.

Also Read - How To Trade Like A Professional?

Trading Efficiency With AI and ML

When it comes to efficiency in equity trading, AI and ML have the potential to execute trades swiftly. These technologies can process information in milliseconds, enabling you to make optimal buying and selling decisions. If you get the information faster, you could be better placed to secure the best prices.

With AI and ML, experts also anticipate reduced risk of human error and lesser emotional biases like fear or greed that often tend to cloud judgment during market fluctuations.

In the future, these technologies could very well be your personalised advisors, constantly monitoring stock prices and alerting you to significant developments that could impact your investment decisions. 

How Can AI and ML Make Trading Accessible To All?

Equity trading can feel overwhelming, especially if you’re new to investing or trading. It involves understanding stock markets and trends. AI and ML can simplify this learning process for you.

As a beginner in equity trading, AI can expedite your understanding of market dynamics. It also offers tools and insights that are typically more accessible to professional traders, helping level the playing field for all traders. 

What are The Risks of Using AI and ML While Equity Trading

Using AI and ML in equity trading comes with several risks. 

1. If you rely significantly on automated systems like AI and ML, you can lose control over trading decisions. 

2. Sometimes, technical problems or errors in algorithms could lead to wrong trades or financial losses. 

3. Despite efforts to fix biases, AI may still have unintended biases or mistakes, especially in fast-changing or unusual market situations. 

4. Cyber threats are also a risk, which could expose sensitive financial data or disrupt trading. 

SEBI (Securities and Exchange Board of India) is yet to introduce a comprehensive regulatory framework that is solely focused on the risks of AI and ML in equity trading.

AI and ML in Equity Trading

Like every aspect of our lives, AI and ML are also expected to permeate equity trading and start playing a crucial role in it. In the near future, you can expect even more innovative tools and improved features that will enhance your trading experience. However, one of the initial observations is the data quality and security concerns associated with AI and ML outputs. Poor data can lead to inaccurate predictions, affecting your trading decisions. There is also a need for robust cybersecurity measures to protect your sensitive financial data.

So, does this mean we cannot rely on such technologies?

Over-reliance on AI and ML may result in chances of financial losses, especially during unforeseen market scenarios. Therefore, as you explore and adapt to AI and ML in equity trading, make sure to tread with caution.

Conclusion

AI and Machine Learning are set to revolutionise equity trading with their rapid advancements. While embracing these technologies for smarter trading decisions, it's essential to remain vigilant about potential risks. You can adopt a balanced approach to leverage AI and ML effectively. If you want to have a deeper understanding of markets and their evolving dynamics, explore resources available on Sharekhan Knowledge Center

Team Sharekhan
by Team Sharekhan

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