Making stock market predictions is a difficult and complex endeavor since it depends on many different variables, including company performance, political developments, and economic conditions. There’s probably no individual in society who must not have heard of the stock market and its volatility. For those who’ve tried their hands on share market online, it’s impossible that they wouldn’t have followed stock market predictions as if they were horoscopes at some point in their career as an investor.
Every year, hundreds of expert investors take the center of the stage and shoot their bold predictions about the stock market. Some hit close to the bull’s eye, while most miss it. With AI tightening its grip on every industry in the world, the trade industry remains at its core. As technology advances, our expectations from these systems have been skyrocketing. Millions of investors have high hopes attached to the possibility that someday, somebody will be able to create a prediction model that is 100% accurate to invest in shares. But that remains closer to a thought than a reality. Why is that? We’ll explore the reasons in this article.
Multiple factors influence the stock market. As iterated at the beginning of this article, there’s no one factor alone that determines the trends in stock prices. The stock market is affected by many unpredictable events, both known and unknown. Any sudden aspect can play in favor or against the odds of a specific entity or a company. With so many factors at play, it’s challenging to quantify the scale and effect of any aspect. With no complex rules for quantifying this data, it’s evident that we can’t end up with a prediction that is correctly made by a computer. Coming across a stock market app that provides you a detailed analysis is a rare find.
Similarly, stock market experts are in a similar dilemma when asked to make stock market predictions. Every investor will have their thought process behind any conclusion they derive from an event, and their knowledge and expertise on online investing influence it.
Secondly, the stock market data is limited, deliberately hidden, or exaggerated. Often complete, consistent, or biased financial data can lead to accurate predictions. For both a human and a computer, it’s challenging to devise a clear conclusion if the source data itself has some bias or inaccuracy. An expert or a predictive model based trading platform can’t stay updated with the latest economic variations as each second passes. What’s even more difficult is to derive what factor influenced a specific trend.
The reasons can surely be hypothesized, but by the time they’re proven correct or incorrect, some other significant event would’ve already occurred. Figuring out the reasons behind specific trends is just as important as figuring out the directions. Mostly the reasons are the foundations of predictions, and no forecast can be utterly accurate unless the reason behind the trend is correctly identified. Reason can help a stock market expert understand how likely its effects will last. Likewise, for how long is the trend going to remain?
To summarize, despite technological advancements, including AI and ML, accurately predicting stock market movements remains a daunting task. The complexity of the stock market, with its many variables and fundamental and technical factors, makes it difficult for computational models and stock market experts to consider all relevant factors.