Generated Assets

Product Introduction

1. Generated Assets is an AI-powered interactive tool developed by Public Holdings, Inc. that enables users to transform conceptual investment ideas into customized, investable indices. It leverages natural language processing to analyze user prompts, screen thousands of stocks, and generate portfolios aligned with specific themes or criteria.
2. The core value lies in democratizing thematic investing by automating complex financial analysis, allowing users to bypass manual research and technical barriers. It bridges the gap between abstract investment concepts (e.g., "AI-resistant businesses" or "Gen-Z consumer trends") and actionable portfolio construction.

Main Features

1. The AI index builder converts free-form text prompts into weighted portfolios by analyzing company fundamentals, market data, and thematic relevance. For example, inputting "tariff-resistant companies" triggers screening for low international revenue exposure, supply chain localization, and import/export ratios.
2. Users refine generated indices using adjustable filters such as market capitalization, revenue streams, or ESG scores, with the AI recalculating holdings in real time. Metrics like sector diversification, historical volatility, and correlation to benchmarks like the S&P 500 are displayed for optimization.
3. The platform enables side-by-side backtesting of custom indices against major benchmarks, showing performance metrics like Sharpe ratio, drawdowns, and sector-level risk attribution over user-defined timeframes.

Problems Solved

1. It eliminates the need for manual stock screening, financial modeling, and thematic alignment verification, which typically require hours of research or advanced quantitative skills. Traditional tools lack the ability to interpret niche themes like "companies with 50M+ social media followers" into investable criteria.
2. The tool targets retail investors, thematic strategists, and finance educators seeking to test hypotheses about emerging trends without coding or Bloomberg terminal access.
3. Typical scenarios include constructing a dividend-focused index with constraints on payout consistency, evaluating how "fully remote companies" perform during market downturns, or identifying B2B firms with under 10% consulting revenue to avoid service-dependent models.

Unique Advantages

1. Unlike robo-advisors or ETF builders, Generated Assets interprets unstructured ideas (e.g., "Andreessen Horowitz portfolio companies") using contextual AI, mapping vague concepts to precise financial KPIs like revenue per employee or R&D spend ratios.
2. The integration of Public.com’s proprietary data on private market investments and social sentiment metrics allows screening beyond standard SEC filings, including metrics like follower growth on TikTok or GitHub activity for tech firms.
3. Competitive differentiation stems from real-time recalibration of indices based on breaking news and earnings reports, coupled with educational overlays explaining why specific stocks match the user’s theme (e.g., highlighting a company’s patent filings for "AI-resistant" screening).

Frequently Asked Questions (FAQ)

1. Can I directly invest in the indices created through Generated Assets? No, the tool is strictly for educational and analytical purposes; users must replicate the generated portfolios manually via brokerage accounts, as the platform lacks direct trading functionality.
2. How does the AI ensure the selected stocks accurately represent my idea? The model cross-references your prompt with regulatory filings, earnings transcripts, and alternative data (e.g., job postings for "remote work" companies), applying NLP to identify semantically related business attributes and financial metrics.
3. What data sources power the stock screening? It aggregates data from SEC databases, Bloomberg feeds, Crunchbase for private funding ties, and Public.com’s proprietary datasets tracking social media engagement and consumer sentiment trends.
4. Can I modify the AI’s initial portfolio suggestions? Yes, users can manually exclude stocks, adjust sector caps, or add secondary filters like "low debt-to-equity ratio" after the initial generation, with the AI recalculating weightings dynamically.
5. Is there a limit to how specific my investment theme can be? While highly specific prompts (e.g., "companies with Super Bowl ads since 2010") are allowed, results depend on data availability; the tool will notify users if insufficient matches exist and suggest broader criteria.