Zoonova AI, a Utah-based fintech platform, launches Alpha AI, a new investing platform that brings advanced market intelligence to everyday investors. The platform, unveiled today, combines quantitative machine learning, technical pattern recognition, sentiment analysis, and guided research workflows in one intuitive interface.
Alpha AI is designed to help users move from simple stock questions to a more structured view of forecasts, risk, and market context. At its core, the platform leverages Zoonova AI’s Quad-Ensemble machine learning framework, which integrates XGBoost, Random Forest, CatBoost, and Temporal Fusion Transformer (TFT) models. This framework uses hyperparameter tuning and RMSE-based optimization to support predictive performance across various market conditions and time horizons.
The system processes over 150 financial features using approximately 3 to 4 years of daily historical data per stock, with models retrained weekly and core calculations updated twice daily. Additionally, Alpha AI incorporates a Birch model for pattern recognition across 200+ charts and technical signals, and a VADER-based sentiment engine that processes around 3,000 live news feeds to generate stock-level sentiment.
Through the AI Command Center, users can ask questions in plain English and generate multi-horizon alpha and price forecasts, tear sheets, Monte Carlo simulations, factor analysis, and stress tests. The platform translates complex analytics into an approachable format, making it accessible for individual investors, traders, and other market participants.
Alpha AI also emphasizes usability with up to 23 guided follow-up prompts spanning Deep Research reports, valuation and multiples analysis, comparative analysis, growth and moat analysis, risk registers, peer assessments, EPS forecasting, event calendars, and market-news summaries. Users can use the “Explain this tear sheet” workflow to translate complex outputs into plain-English strategies, while in-line glossaries define technical terms directly within the experience.
The visual analytics layer includes price-by-horizon views, price-versus-alpha charts, alpha probability views, benchmark comparisons, and radar-style risk profiles combining metrics such as volatility, beta, Sharpe ratio, and VaR 99 into at-a-glance visuals. All charts can be explained by Alpha AI, providing clear, actionable insights.
Alpha AI is available through the Zoonova AI web platform for $240 per year. Core features are also accessible via the Zoonova AI mobile app, which is currently free to download on the Apple App Store and Google Play Store.
Zoonova AI is a fintech platform focused on making advanced stock research and market intelligence more accessible. By combining machine learning ensembles, quantitative analytics, technical pattern recognition, sentiment modeling, and conversational AI, Zoonova AI helps investors and traders explore forecasts, risk, and research workflows through web and mobile experiences.
“Alpha AI was built to combine a quantitative engine with an interface people can actually use,” said Blaise F. Labriola, Managing Partner of Zoonova AI. “The goal is to give investors access to deeper forecasting, risk analysis, and market intelligence in a format that is faster to interpret and easier to use.”
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