Harnessing Big Data in Stock Market Predictions: The Meytrix Approach

Harnessing Big Data in Stock Market Predictions: The Meytrix Approach

What is Stock Market Analysis?

Stock Market Analysis is a deeper study into the minute behaviour of share prices, to accurately forecast its behaviour. It has been around for as long as the market itself.

How has Share Market Data Analysis Changed?

Over the 100+ years of the Indian Stock Market, we’ve seen a radical change in how people analyse and understand the market.

As time went by, the analysis became more concrete as people found new data points to study, about the market or the companies. Rising from those times, we’re finally here where using machine learning for stock market prediction is a real possibility and something that Meytrix has accomplished with real results for investors.

How Does AI Manage Stock Volatility?

Stock volatility, (the uncertainty and magnitude of change in stock prices) was initially considered arbitrary and unpredictable. However, as time passed, analysts have noticed patterns in how stock prices fluctuate. These changes are now simpler to understand, and something that we can program algorithms to do successfully for a huge number of stocks.

What is Machine Learning?

The internet and news today is flooded with this term. If you’re confused about what it is, let’s take a minute to clear that up.

Machine learning is a division of artificial intelligence wherein we’re able to develop a software that utilises data and algorithms to be able to ‘learn’ the way humans do, and improve its performance. The software teaches itself from its results and gives more accurate results over time. By applying machine learning and algorithms, stock market predictions are a possibility now.

Meytrix has used a similar approach to successfully utilise machine learning for Stock market data analytics.

What is Big Data Related to the Stock Market?

Big Data in the Indian Stock Market

The stock market in India has been active for over a century now, which means there is a huge amount of data available. Data like prices, fluctuations, stock volatility and so on, are key data points that help us in stock market predictions using machine learning for stock market prediction.

How Big Data Helps In Managing Stock Volatility

Studying the volatility of stocks to make predictions requires big data analysis because to get the most accurate forecasts, intense share market data analysis of historical data is required. While this may not be possible to do manually every day, Meytrix achieves it using artificial intelligence and machine learning and gives you forecasts every day.

How Meytrix uses Big Data

Big data is useful in accurately predicting the performance of stocks, as it reveals critical data points from the past which we process using machine learning for stock price prediction.

Meytrix has collected such data from the last 5 years and processed it to give you the best possible stock market data analytics.

How Meytrix Brings the Change

The Stock Market is for Beginners too

For the past decades, share market data analysis has been done only by people with years of experience and a deep knowledge of the market. Meytrix is changing the narrative by building a community of investors of all sorts. Whether you’re a beginner investor or a seasoned professional, we welcome you to the Meytrix alike!

How Meytrix Works For The Retail Investor

The most basic purpose of the stock market for retail investors is simple - profit. You exchange risk for profit. Meytrix facilitates this journey, by lowering your risk and giving you advice that will help earn great returns. We lower your risk by analysing data on various different levels, for accurate stock market analysis and prediction. Not only historical patterns but also current patterns and performances.

Meytrix Signals

Another key component of Meytrix is our signals. We generate positive and negative signals for stocks every day, to help assist your decisions better. Our positive signals can help you accumulate a stock at great prices, based on past performance and future forecasting, among other points.

Stock Market Prediction by Meytrix

Stock market predictions are the results of extensive historical research and stock price trend research among a lot of other data points. The reason such extensive research is required is due to the market’s highly volatile nature, which means the prices of shares can increase or decrease rapidly. While it may all seem like a thing of chance, there are actually significant patterns in which the market behaves and that is what Meytrix uses to give you results.

Meytrix: Artificial Intelligence Powered By Real Intelligence

Over the years there have been human brains running these numbers and coming up with the correct stock market strategies for the masses. Meytrix is a product of a team working extensively for over a year to prepare a software that uses the current and historical stock market data, along with hundreds of other algorithms to accurately use machine learning for stock price prediction. To achieve consistently accurate results from big data analytics, stocks are deeply analysed by our algorithm - mainly its historical price, volatility and many such factors. The data is finally collated to give you the best possible stock market analysis and prediction.

How Does Big Data Affect The Investor?

Meytrix is for All Investors Alike

For years now, share market data analysis has largely been confined to professionals with a strong background in the stock market. The technicalities are too severe for people who don’t have a background in finance to understand. Meytrix aims to change this scenario for retail investors by creating an algorithm that performs predictive analysis, and stock market analysis and makes credible forecasts about stock performance.

Why Meytrix is an Ideal Stock Market Advisory

The reason why Meytrix is the ideal stock market advisory for investors is because of its highly intuitive and simple user experience. We’ve built a platform that can be used and understood by users with no previous knowledge of investing in the stock market.

You’re not only advised on the best possible stocks but also given positive and negative signals which indicate advice to increase and decrease positions respectively.

This is just the tip of the iceberg, and you get numerous other insights, forecasts and advice.

Conclusion

Stock market predictions made by analysing big data have proved successful, and that is what Meytrix is doing. We’re processing stock market data from the last 5 years and our algorithm works such that we’re able to notice patterns and utilise various data points, to forecast stock performance. We have a section dedicated to backtesting our MRank system, which is a testimonial to how accurately our MRank has performed. Big data might sound confusing, but Meytrix handles the complex part to give you an easy-to-use platform which is a one-stop solution to stock market investing.

Frequently Asked Questions

1.⁠ ⁠What data analysis is used in stock market prediction?

Time series, machine learning, fundamental analysis and technical analysis are mostly used in stock market predictions.

2.⁠ ⁠What is the role of big data in the stock market? ⁠How is big data related to predictions?

Big data provides a highly detailed view of different events and triggers of the stock market, which helps in accurate stock market predictions and risk management.

3.⁠ ⁠What are big data prediction methods?

Essential big data prediction methods are machine learning (Supervised/Unsupervised), time series and reinforcement learning.

4.⁠ ⁠Can I use AI to predict stock market?

Yes! Meytrix uses AI to predict stock market performance, and we’ve been able to do so with tangible results to investors. Check out our backtesting page to see our predictive results.

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