How AI Stock Functions Can Make You A Better Investor

The stock market has always been a challenging place because of its volatility. Investing in the stock market is constantly full of surprises due to ever-changing stock prices and unexpected events. Retail investors not only need to have the ability to process data and information as fast as the market, but also need to remain rational and patient when the market violently shifts. Hundreds of individual and institutional investors are well aware of the losses and potential gains to be had, but we're always searching for an added advantage to help guide our investments toward more profitable outcomes.

Now, artificial intelligence is changing the way people invest in stocks. With powerful data collection and analysis capabilities, AI investing is replacing traditional human investment advisers to provide a growing number of investors with insights into stock investments, helping them make more informed decisions, and reducing their probability of failure.

Benefits of Using AI When Investing In Stocks

AI helps summarize important information

In the traditional investment model, individual investors need to browse a large amount of information related to the stock market, such as corporate financial reports, corporate news, overall market sentiment, etc., to extract important information as the basis for identifying potential investment opportunities in the stock market. This often requires a substantial amount of time and energy, something not many investors can contribute day-to-day.

With the emergence of artificial intelligence, investors can now offset the time spent on researching and analysing stocks, to AI dedicated investment tools. As a result, more and more investors are choosing to use AI investing tools to help them summarize important information and identify potentially profitable opportunities.

AI tools & trading bots enable 24/7 data acquisition

In the past, retail investors often faced situations where they missed out on investment opportunities due to lagging or inaccurate financial information. But now, many AI tools or trading bots can search for, compile, and analyse important financial data 24/7, which before was unimaginable for retail investors. With the help of artificial intelligence, investors can achieve real-time tracking of market changes, which is essential to cope with rapid changes in the market. Over time, the data collected by AI tools or trading bots will form a huge database and underlie the accuracy of AI stock analysis and predictions.

AI stock picking will reduce subjective bias

In stock investing, investors have been trying to make calmer, rational investment decisions, free from subjective biases. However, too many historical examples prove that investors are easily influenced by excessive optimism or pessimism in the market, which leads to irrational stock trades that could potentially impact their overall portfolio's financial performance.

That concern is minimized when utilizing programmed AI tools or trading bots. All investment strategies given by AI are based on emotionless, calculated data, utilizing complex investment algorithms, and minimizing subjective bias. In this case, investors can reduce mistakes such as buying too high or selling too low.

AI tools will democratize high-level financial analysis

In the traditional stock investment model, financial analysis from Wall Street analysts is a complex and expensive process that retail investors rarely have access to. However, the rise of AI tools has democratized high-level financial analysis by providing the average investor with simplified analytical reports that can be broken down into bite-sized bits of information that can be easily digested and utilized when making investment decisions, all of which were only accessible to institutional investors.

Tools such as AI-powered stock advisors and AI-driven predictive models can provide retail investors with analytical reports at the same professional standard as institutional investment analysts. It is foreseeable that as AI technology becomes more affordable and user-friendly, more and more retail investors will have their own customizable personalized AI stock advisors.

Can AI Investing Forecast Stock Prices?

A big question on many investor's minds is are there AI stock forecast tools that can accurately make consistent price predictions? These tools analyze historical data, real-time market trends, news sentiment, and even global events to provide accurate AI stock forecasts. For instance, Himanshu Gupta and Aditya Jaiswal discuss the performance of various models in stock price forecasting and found that AI models, particularly deep learning algorithms, consistently outperformed traditional statistical methods in predicting short-term stock price movements.

While AI stock forecast tools can provide strong indicators, they are not foolproof. Stock markets are influenced by a mix of unpredictable patterns and unforeseen events, such as geopolitical crises or sudden regulatory changes. Even the most sophisticated AI models cannot fully account for these uncertainties. However, tools like Intellectia.AI, which combine technical analysis and sentiment tracking, offer investors actionable insights to make more informed decisions in dynamic markets.

Investors using AI stock forecast tools should view them as part of a broader investment strategy. These tools excel at identifying patterns and generating data-driven suggestions, but human oversight remains essential. Balancing AI-driven insights with individual research and risk assessment can empower investors to navigate market complexities effectively.

Challenges and Limitations of AI in Stock Forecasting

While AI has the potential to revolutionize stock forecasting, there are also challenges and limitations to its use. One of the main challenges is the quality and availability of data, as AI algorithms require large amounts of high-quality data to make accurate predictions. Additionally, AI algorithms can be complex and difficult to interpret, making it challenging for investors to understand the reasoning behind the predictions. Furthermore, AI stock forecasting is not immune to market volatility and unexpected events, which can affect the accuracy of predictions.

Known Institutional Investment Companies Utilizing AI Stock Insights

Morgan Stanley

Morgan Stanley claims to have developed an artificial intelligence-based trading algorithm, called ASKResearchGPT in collaboration with OpenAI, to optimize execution strategies for maximizing returns and minimizing market impact.

Numerai

Hedge fund Numerai utilizes artificial intelligence and machine learning models submitted by global data scientists to predict stock market trends. The AI Powered Equity ETF uses AI investing algorithms to select stocks and continuously optimize the investment portfolio based on market conditions.

Bloomberg

Traditional media giant Bloomberg provides investors with an AI tool to help analysts save time by absorbing earnings data and transcripts and identifying key points based on the data.

In addition, stock trading platforms such as Robinhood are beginning to experiment and roll out AI stock insights across their platform, after their acquisition of Pluto Capital. AI investing stock insights and analysing key financial data are becoming more and more popular among retail and institutional investors alike, potentially paving the way to AI stock market dominance.

Risks of AI Stock Trading

While artificial intelligence stock trading has significant advantages, there are also some risks that investors cannot ignore.

One of the main risks is the bias in analysis results caused by low-quality data. Just as humans need to ditch junk food, artificial intelligence tools and trading bots also need to stay away from low-quality inaccurate data, as they rely heavily on historical and real-time data for analysis and prediction. Once a large amount of incomplete or biased data appears in the database, even if a trading bot has superior algorithms, it cannot provide high-quality analysis results and accurate predictions resulting in potentially bad advice.

Another risk is that AI-driven rapid responses could amplify market volatility. Consider multiple artificial intelligence tools globally respond to the same signal at the same time, there could be dramatic market volatility in the short term and, in severe cases, a flash crash.

In addition, network security is also a risk that needs to be considered. Earlier this year, Microsoft's system encountered issues leading to blue screens on computers worldwide, which is a cautionary example. Whether due to internal failures or external hacker attacks, AI-driven transactions and investments can have unpredictable outcomes and even result in catastrophic economic losses.

Differences between AI Stock Trading Insights Tools and Trading Bots

Currently, there are two mainstream forms of AI participation in stock investment: providing AI trading insights or programming trading robots. So, what are the differences between the two and how do investors determine which one is more suitable to their needs?

Key Differences:

AI Stock Trading Insights Tools

For tools or platforms that provide AI trading insights, their advantage is that they can provide expert-level analysis reports to investors based on the latest market trends. This is more friendly for investors with less trading experience.

At the same time, in order to simplify the process for investors, there are now a number of one-stop chatbots, such as Perplexity and Intellectia.ai, that allow investors to get informed AI trading views by simply asking them questions.

Perplexity is an artificial intelligence search engine that provides accurate, trusted and real-time answers to user queries. Unlike traditional search engines, which provide lists of links, Perplexity provides concise conversational responses, with each response accompanied by a cited source for verification.

Intellectia's product on the other hand also provides a search box where investors can directly enter what they want to know. Intellectia relies on a robust, reliable database and utilizes advanced algorithms to provide investors with high-quality answers.

Both tools are user-friendly but have discernable differences in the accuracy of their responses. Whereas Intellectia's AI stock insights tool can offer a deeper analysis of each stock and provides more unique features and functions not provided by others on the market, we have compiled a list of the 6 Best Platforms To Use AI For Stock Trading for further research of products available to investors.

From the figure below, it can be seen that when asked the same question, Intellectia's answer clearly has more financial logic and deeper analysis. Its answer is based on trusted data and information rather than simply a Retrieval-Augmented Generation (RAG) of web information provided by Perplexity. As you can see, thanks to advanced algorithms, Intellectia's analysis and understanding of key data of stocks are comparable to that of a Wall Street market analyst.

In addition, Intellectia.AI offers a unique exclusive feature called Daily Top Stock Picks. The AI will present 5 selected stocks for investors to choose from before the daily US stock market opens. The stocks are selected through an AI algorithm that performs a comprehensive AI analysis of news sentiment, earnings, key market data, and a company's recent events. The Daily Top Stock Picks feature compensates for the difficulty of short-term arbitrage in such tools. If you're a short-term trader looking for potentially daily returns, Intellectia.AI is a valuable AI stock insights tool to add to your arsenal.

Trading Bots

Unlike AI trading insight tools, AI trading bots, such as 3Commas and Algobot, emphasize the speed and automation of trading and are more suitable for investors pursuing short-term carry trades. These trading bots strictly follow orders from investors and monitor the market around the clock.

3Commas is a developer of cryptocurrency trading software. The company offers several types of trading bots, including a DCA bot that automatically tracks buy and sell transactions, a Singal bot designed for TradingView users, and a Grid bot that tracks market dynamics. Users can choose between different AI trading bots based on their own strategies.

3Commas' trading bot also has many advanced features, such as multiple trading, if the investor's strategy is applicable to multiple different currency pairs, investors can create AI trading bots at 3Commas to monitor all currency pairs, ensuring that investors do not miss any signals. In addition, 3Commas' trading bot has other advanced features such as multiple profit/stop loss, tracking mechanisms, backtesting and automatic reinvestment.

3Commas uses a non-custodial model where users' funds remain in their respective exchange accounts at all times. The platform is connected to the exchange through an API key, and only has trading rights, and cannot withdraw funds, so investors are protected.

Similar to 3Commas' trading bot, Algobot is an automated trading bot based on artificial intelligence and machine learning. Moreover, by integrating with third-party platforms such as Cornix and PineConnector, Algobot can connect to multiple trading platforms for fully automated trading.

Algobot's trading bot uses a variety of technical indicators, such as Relative Strength Index (RSI) and moving average (MA) for market analysis and decision-making to track buying and selling timing.

Algobot supports the trading of multiple financial products, including forex currency pairs, crypto, stock indices, stocks and commodities. In real life, investors often use Algobot's trading bot to monitor and trade forex currency pairs and cryptocurrencies, as the advantages of trading bots are more pronounced in these two highly volatile markets.

In general, trading bots like 3Commas and Algobot emphasize the speed and full automation of trading, which can help investors quickly capture investment opportunities in the market. However, due to the excessive emphasis on short-term returns, these platforms lack the ability of in-depth analysis of investment portfolios, and cannot provide investors with high-quality analysis results and long-term investment strategy recommendations. Moreover, since trading bots have become fully automated, cybersecurity risks are amplified. In the event of a system failure or hacking, investors can suffer unpredictable losses.

Conclusion

It can be said that the rise of artificial intelligence stock tools has changed the investment landscape, providing investors with artificial intelligence stock analysis and potentially more accurate future forecasting data. We can begin to see a paradigm shift in the way investors manage their portfolios through the reduced barriers of entry for retail investors to finally keep stride with traditional institutional investors, paving the way for a level playing field for anyone wanting the enter the stock market.