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Stockaivisor

Stockaivisor is a generative AI-powered financial analysis platform that provides individual and professional investors with stock screening, predictive analytics, portfolio management, and market intelligence tools.

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Stockaivisor is a generative AI-powered financial analysis platform designed to help both novice and experienced investors make data-driven investment decisions. Built by Leveragai, an AI-driven consultancy based in the United States and supported by Microsoft, Stockaivisor combines machine learning models, natural language processing, and predictive analytics to deliver actionable market insights across global financial markets.

Key Features

  • AI Stock Screeners: Advanced screening tools that filter over 20,000 stocks using traditional financial metrics combined with AI-derived indicators such as predicted earnings surprise probability and sentiment momentum scores. Users can set parameters across market capitalization, earnings growth, and analyst consensus ratings.
  • Predictive Analytics and Forecasting: Machine learning models trained on historical price data, earnings reports, analyst sentiment, and macroeconomic indicators to identify patterns and forecast price movements up to 7 days ahead. Confidence scores accompany each prediction to help investors gauge reliability.
  • Finbot AI Chatbot: A conversational assistant that answers questions about financial markets, portfolio strategies, and company analysis, providing a natural language interface to the platform's analytical capabilities.
  • Comprehensive Asset Coverage: Daily analysis of 26,775 assets including 21,925 stocks across US, UK, and Turkish markets, plus 2,767 ETFs, 1,158 market indices, and 925 forex pairs. Data is refreshed at intervals ranging from 5 minutes to weekly depending on the analysis type.
  • Automated Portfolio Management: Factor models and risk-return analysis tools that help users optimize asset allocation, supporting both hands-off lazy portfolios and active portfolio customization.
  • API Integration: RESTful API access for developers who want to integrate Stockaivisor's analytics into their own applications and workflows.
  • Stockaivisor Academy: A prompt-based training platform with scenario-driven lessons that use generative AI to teach financial concepts and investment strategies.

Pricing

Stockaivisor offers four tiered subscription plans. The Free tier provides 100 common financial analysis calls and 10 AI-based analysis calls per month. The Starter plan at $29 per month includes 500 common and 150 AI-based analyses, 200 Finbot questions, and up to 10 hours of content generation. The Professional plan at $59 per month offers 1,500 common and 400 AI-based analyses with unlimited Finbot questions and 200 API calls. The Enterprise plan at $299 per month provides 5,000 common and 1,000 AI-based analysis calls with unlimited screen saves and 2,000 API calls. All plans are available as monthly or annual subscriptions.

Use Cases

  • Active Trading: Day traders and swing traders can use real-time signals, volume spike detection, and intraday volatility patterns to identify short-term opportunities with rapid data processing.
  • Long-Term Investing: Value and growth investors can screen for companies with consistent free cash flow, low debt-to-equity ratios, and strong ESG scores, with predictive analytics modeling multi-year earnings trajectories.
  • Financial Education: The Stockaivisor Academy provides a hands-on learning environment where users can practice financial analysis through AI-guided scenarios and prompt-based training.
  • Portfolio Monitoring: Daily risk assessments, volatility measures, and correlation analysis help investors track performance and adjust strategies proactively.

Integration and Support

Stockaivisor provides API access for custom integrations and offers dedicated customer support. The platform is developed in collaboration with Microsoft, leveraging their cloud and AI infrastructure. A blog and knowledge base provide ongoing educational content on AI-driven investment strategies.

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