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AI in investing provides a distinct advantage by efficiently handling vast amounts of financial data, analyzing historical trends, and extracting insights from complex relationships. Unlike traditional analysis limited by human capacity, AI models consider numerous variables, combining fundamental, technical, and macroeconomic data to enhance predictions. Importantly, AI models eliminate biases, emotions, and subjective opinions from the decision-making process. ML Alpha ensures that every score, rank, or rating is solely derived from data-driven checks and machine learning-based financial models, offering a transparent and objective approach to investment decision-making.

AI-based investing has notable strengths but also comes with limitations. Firstly, it's crucial to understand that financial markets lack scientific predictability, and AI models predict outcomes with varying probabilities rather than certainties. Furthermore, Machine Learning models may suffer from biases and overfitting. Bias can occur if the training data disproportionately represents certain market conditions, leading to suboptimal predictions in different scenarios. Overfitting occurs when a model is too complex for the amount of data it's trained on, excelling in past predictions but struggling in real-time applications. ML Alpha addresses these concerns by emphasizing customer education and curating ML-ready datasets for train and test, ensuring a more robust and reliable investment approach.

The ML Alpha Scores are indicators displayed on our investment platform, represented through radar charts for each company. These scores are derived from the predictions of multiple Machine Learning (ML) algorithms analyzing various fundamental, technical, and contextual parameters for a given company at a specific time. The ML Alpha Scores consist of Short Term, Mid Term, Long Term, Dividend, and Safety scores. Each score reflects predictions made by ML algorithms regarding different aspects of a company's stock performance over varying timeframes and its potential for dividends and safety. Investors can use these scores to compare companies and identify those predicted to perform better in the short, mid, and long term. Additionally, the scores help assess risk/safety and dividend potential. This information aids in building portfolios tailored to specific investment goals, with the recommendation to diversify portfolios with multiple stocks featuring high scores.

No, the scores are based on statistical predictions from ML models, and there is no guarantee that any particular company will perform well in the future. Therefore, it is recommended to diversify portfolios with multiple stocks featuring high scores to manage risks.

All price-dependent data (e.g., stock price, technicals, price-dependent fundamentals, or portfolio performances) are updated daily, using the close price from the previous day. The ML Alpha Scores, along with Data Science Datasets and Backtesting data, are updated every two weeks. Fundamental data is refreshed 7-14 days after SEC publication.

Currently, we exclusively support US stocks. If you have a preference for European or Asian stocks, please share your feedback with us through our Feedback Section.

No, currently, we don't have any integration with brokers to buy and/or sell stocks directly from our platform. You will need to execute these transactions through your current broker. If you wish to see this feature added soon, please let us know through our Feedback Section.

The ML Alpha Scores provided on this platform shall not be considered as investment advice. The stock ratings are generated by an Artificial Intelligence system trained on historical data with no guarantee over future performance. It is important to note that neither the scores nor the portfolios available in the marketplace should be followed without careful consideration. For personalized financial advice, it is strongly recommended to consult with a qualified professional financial advisor.