Previous success does not guarantee future outcomes. While our historical results have been extremely successful, there is always inherent risk involved in trading the stock market. It should be noted that our AI system is specifically designed to find long-term value to build balanced portfolios and not to "get rich quick." While there are shorter-term predictions, these tend to carry higher risk and as a general rule of thumb, the longer-term AI-powered predictions are usually more accurate but are also not guaranteed. Please be cognizant that all investing, stock predictions, and investment strategies include the risk of loss for some or even all of your capital. As a Decision Support System (DSS), the AI-powered signals are not intended to and should not be used as the sole discretionary tool for your market research but instead as an advantage that you can leverage to find more market opportunities faster that you can then research further. Before pursuing any financial strategies discussed on this website, you should always consult with a licensed financial advisor.

No, you cannot connect your trading account nor can you do auto trading. You must input your own trades based on your own considerations.

Forecasts are published every trading day.

AI, or artificial intelligence, is the simulation of human intelligence in machines that are programmed to think and act like humans. These intelligent machines are capable of learning from experience, adapting to new inputs, and solving complex problems. AI technology is used in a wide range of fields, including medical diagnosis, weather forecasting, robot control, and of course stock market research. The goal of AI research is to create systems that can be intelligent and operate autonomously, without the need for human intervention.

Improved accuracy and precision: AI algorithms are capable of processing vast amounts of data quickly and accurately, which can help to identify patterns and trends that may not be apparent to human analysts. Enhanced decision-making: By providing more accurate and timely information, AI can help investors and traders make more informed decisions about which stocks to buy or sell. Reduced human error: Because AI systems are not subject to the same biases and emotional reactions as humans, they can help to reduce the risk of mistakes or bad decisions based on faulty reasoning. Increased efficiency: AI-powered stock analysis can help to automate many tedious or time-consuming tasks, freeing up human analysts to focus on more complex or strategic tasks. Increased competitiveness: By leveraging AI technology, investors and traders can gain a competitive edge over others who are not using it, potentially leading to better returns on their investments.

Growthtech.ai is an American-based hi-tech market intelligence company. When you subscribe you get exclusive access to our market research platform which serves as your Decision Support System (DSS). We combine traditional market research tools with predictive AI plus generative AI to enhance your due diligence process. Our cutting-edge artificial intelligence utilizes neural networks & machine learning to analyze big data sets from across the market creating circadian stock predictions for short and long-term positions. Intuitively, these AI-powered stock forecasts are generated by analyzing empirical evidence of financial market abnormalities connected to trader overreaction and under-reaction while simultaneously adjusting to shifting market conditions. In conjunction with these market insights based on machine learning algorithms, our technologies also include advanced charting tools, live market news feeds, and our GPT-powered market analysis assistant serving you as your ultimate tool to research the market like never before.

There are many different methodologies that our AI-powered stock market prediction system uses including: Machine learning: Machine learning is a type of AI that allows systems to learn from data and improve their performance over time. In the context of stock market prediction, a machine learning algorithm could be trained on historical data, including stock prices, economic indicators, and company news. The algorithm would then use this data to make predictions about the future performance of stocks. Artificial Neural Networks: Neural networks are a type of machine learning algorithm that is inspired by the structure and function of the human brain. In a neural network, multiple layers of interconnected nodes process and analyze data, allowing the system to learn and adapt to new inputs. Neural networks can be used to make predictions about stock prices by analyzing large amounts of data and identifying patterns and trends. Decision trees: Decision trees are a type of algorithm that uses a branching structure to make decisions based on a set of rules or conditions. In the context of stock market prediction, a decision tree algorithm could be used to analyze historical data and make predictions about the future performance of stocks. The algorithm would use a series of "if-then" rules to determine the best course of action based on the data it receives. Genetic algorithms: Genetic algorithms are a type of optimization algorithm that is inspired by the principles of natural evolution. In a genetic algorithm, a set of possible solutions to a problem is generated, and then the best solutions are selected and combined to create new, improved solutions. This process is repeated over time, allowing the system to evolve and improve its performance. In the context of stock market prediction, a genetic algorithm could be used to identify the best combination of factors and variables that are most predictive of stock prices.

In order to do this, the AI-powered algorithms are trained on a large amount of historical data as well as live data, including stock prices and other relevant information such as economic indicators and company news. The artificial intelligence then uses this data to make forecasts about the future performance

There is an annual subscription that can be paid by either debit, credit card, Apple Pay or Paypal. For the next billing cycle, you will be notified ahead of time before your subscription is due so that you can approve the payment and even update your payment details if necessary. All subscription levels are paid on a monthly or yearly basis. Please note that we do not accept Bitcoin or any other cryptocurrency as payments. If you ever have any questions about your subscription, then please contact our customer success team. We would be happy to help you at support@growthtech.ai.

No hidden fees mean 100% transparency. What you pay for is exactly what you get. You’ll never have to worry about hidden fees or any additional service charges. You only pay a subscription fee based on the package you choose. Also, you can upgrade or you can cancel at any time without any additional fees or penalties. With our AI-powered signals, you are always in control. We never add any sneaky fees or bake them into the prices.

Yes, you can upgrade your subscription at any time to get more AI-powered market insights.

It's actually very easy. We offer 4 packages you can choose from. From Basic to Exclusive, subscribers get advanced notifications of potential upcoming market opportunities. Bigger forecasts also come with more enhanced features. Generally, we advise a larger forecast because it provides much more market coverage, makes it much easier to follow trends, and of course, you will certainly find A LOT more market opportunities. Discretion should always be used when analyzing the market. Your own due diligence is always required and you should always get advice from a licensed financial advisor prior to implementing any financial plans. Finding market opportunities is made much easier by using artificial intelligence.

Our advanced AI algorithmic system utilizes what is called a Decision Support System (DSS) that incorporates machine learning and artificial intelligence based on big data analytics from across the market meaning that the system is self-learning, scalable, and adaptable to the constantly changing market environment.

Some of the key factors that can affect the accuracy of the forecasts include the quality and quantity of the data used to train the algorithm, the complexity of the algorithm itself, and the volatility of the stock market. In general, the more data and resources that are available, the more accurate the system will be. However, it is important to note that no AI system can guarantee 100% accuracy, and there will always be some uncertainty and risk involved in making predictions about the stock market. Our artificial intelligence produces a Signal Confidence (SC) for every stock signal forecasted, which varies with the market and time frames within the market. Longer time horizon projections should be used to identify primary market trends because they are more predictable than shorter ones. You will clearly see that the Signal Confidence increases dramatically over longer time frames. .

The AI system calculates the Signal Confidence (SC), which is expressed as a percentage out of 100%, based on the historical accuracy of each previous financial asset prediction in conjunction with the parameters of the stock's current circumstances. When combined with machine learning, these incredibly complex mathematical functions for statistical programming and modeling are capable of comparing their current coefficients and algorithms to newly added data and then adapting to improve model accuracy through a validation and reflection process. The Signal Confidence (SC) varies with the market and time frames within the market. Longer time horizon projections should be used to identify primary market trends because they are more predictable than shorter ones. You will clearly see that the Signal Confidence increases dramatically over longer time frames.

Yes, AI can be used to make forecasts about the stock market. Many financial institutions and companies use AI-powered algorithms to analyze market trends and make predictions about the future performance of stocks and other assets. These algorithms can process large amounts of data in a short amount of time, allowing them to identify patterns and trends that may not be apparent to human analysts. However, it is important to note that making accurate stock market predictions is a complex and challenging task, and no AI system can guarantee 100% accuracy.

While we would be very sad to see you go, of course, you can cancel your subscription. You can do so directly in your account as well as contact support@growthtech.ai. There are no hidden fees. If you decide to cancel then you will not be billed for the following subscription cycle.

AI, or artificial intelligence, is the simulation of human intelligence in machines that are programmed to think and act like humans. An algorithm, on the other hand, is a specific set of instructions that a computer can follow to solve a problem or perform a task. Algorithms are an essential part of AI technology, as they are used to process data, make decisions, and learn from experience. In other words, algorithms are the building blocks of AI systems, allowing them to process data, make predictions, and adapt to new inputs. The main difference between AI and an algorithm is that AI is a broad term that refers to the simulation of human intelligence in machines, while an algorithm is a specific set of instructions that a computer can follow to solve a problem or perform a task. AI systems are made up of many different algorithms that work together to enable the system to learn, adapt, and make decisions.

No, we are not a brokerage firm nor do we make any investments on your behalf. We are a FinTech company offering cutting-edge insights into the stock market.

No, our forecasts and market analysis are for informational and educational purposes only.