Accurate and reliable stock predictions.
Stocked AI uses advanced neural network machine learning algorithms to provide accurate and reliable stock predictions on a daily basis. This allows you to make informed and confident investment decisions based on real data and advanced technology.
Accessible pricing for retail investors.
With a subscription-based pricing model, Stocked AI is accessible and affordable to a wide range of users, especially individual investors. This makes it a cost-effective tool for making informed investment decisions in the stock market.
Giving you all the info.
One way we ensure accuracy is by using the mean squared error (MSE) to evaluate our predictions. A lower MSE score indicates more accurate stock recommendations. We report the MSE to you allowing you to take control of your investment decisions and secure your financial future.
How we do it
Advanced ML for Accurate Predictions.
Advanced Machine Learning Algorithms
We use advanced LSTM neural network machine learning algorithms that are trained on five years of historical market data to generate accurate and reliable stock predictions. Our machine learning algorithms are designed to recognize complex patterns and relationships in the data, which enables us to provide more accurate predictions for our users.
Daily model retraining for accuracy.
Daily Model Retraining
To ensure that our machine learning algorithms continue to provide reliable and accurate predictions, we daily retrain our models on new data. By doing so, we are able to adapt to changes in the market and improve the performance of our predictions over time. This is a critical aspect of our platform, as it helps to ensure that our users are always getting the most up-to-date and relevant information.
Continuous performance monitoring ensures quality.
Continuous Performance Monitoring
We continuously monitor the performance of our machine learning models to ensure that they are providing accurate and reliable predictions. By monitoring key metrics and conducting regular evaluations, we are able to identify and address any issues or areas for improvement. This helps us to maintain the quality of our product and ensure that our users are always receiving the best possible recommendations.
In a year marked by volatility and uncertainty in the financial markets, Stocked AI's stock picks proved to be remarkably successful.
In 2022, Stocked AI’s stock picks significantly outperformed the S&P 500, with an impressive margin of over 140%. Stocked AI is an innovative platform that uses advanced algorithms and machine learning techniques to analyze large amounts of data and make data-driven investment decisions. This outstanding performance is a testament to the power of artificial intelligence in the field of finance and underscores the importance of data-driven investment strategies in today’s rapidly changing financial landscape.
Who we are
Stocked AI is a team of passionate data scientists and machine learning engineers dedicated to empowering retail investors. Our team is made up of individuals who are passionate about using data to uncover insights and trends that help investors make better decisions. We are committed to creating innovative tools and solutions that make investing more accessible and understandable for everyone.
Democratizing investing with innovative tools, powered by machine learning.
With a deep understanding of data analytics and machine learning, we are uniquely positioned to help investors identify trends, analyze risks, and make informed decisions. We are constantly exploring new ideas and techniques to improve our algorithms and models, and we are committed to staying at the forefront of innovation in the investment industry.
Our mission is to democratize investing and provide tools and resources that enable everyone to achieve their financial goals. We are proud to be part of a community that is committed to using technology to drive positive change, and we look forward to continuing to innovate and create new solutions that make a difference in the lives of our users.