What is ML Alpha?

ML Alpha is a platform designed to empower investors with cutting-edge, AI-driven tools and insights. Previously accessible only to professional investors and institutions, these resources enable users to make informed, data-backed investment decisions.

The platform provides access to performance-verified AI Scores, AI Financial Expert insights, and tools to backtest and benchmark investment strategies. ML Alpha also facilitates a community where users can discover and follow top-performing investors and data scientists, leveraging their expertise to improve portfolio performance.

Features

AI Top Picks: Simplifies stock selection tailored to investment goals.
AI Financial Expert: Discover and analyze the financial state of any company.
Data Science Studio: Empowers users to build their own Machine Learning models.
Portfolio Insights: Create, track, and gain insights into portfolios with AI-based ML Alpha Scores.
Community and Marketplace: Follow portfolios from top-performing users and receive instant notifications.

Use Cases

Analyze the financial health of publicly traded US companies.
Develop and test custom machine learning models for investment.
Track and manage investment portfolios.
Follow and learn from successful investors.
Generate income by sharing investment insights with a community.
Access curated, ML-ready datasets for data science applications.

FAQs

How can Artificial Intelligence be leveraged for investing?

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.
What are the limitations of AI-based investing?

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.
What are the ML Alpha Scores?

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.
Are ML Alpha Scores guaranteed predictors of stock performance?

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.
How often do you update the data?

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.