Open Arsenal

Quantifying Market Behavior.

PublicLaunch is an open-source AI-powered market intelligence platform focused on quantifying market behavior across stocks, IPOs, SPACs, cryptocurrencies, and digital asset launches. Rather than providing trading signals or investment recommendations, PublicLaunch analyzes historical market activity, social sentiment, liquidity conditions, ownership structures, and market anomalies to help users better understand how markets behave. Its mission is to improve transparency by transforming complex market data into measurable insights supported by evidence and historical context.

One of PublicLaunch’s core capabilities is manipulation-risk assessment. The platform continuously monitors price action, trading volume, volatility, liquidity, ownership concentration, and social activity to identify patterns commonly associated with pump-and-dump schemes, coordinated promotion campaigns, and other forms of market manipulation. Through explainable AI models, users can see not only a risk score but also the factors contributing to that assessment, allowing researchers and analysts to understand the reasoning behind each conclusion.

PublicLaunch also provides comprehensive IPO and public market launch intelligence. By analyzing historical IPOs, direct listings, SPAC mergers, and other public offerings, the platform identifies comparable historical events and estimates probabilistic outcomes based on past performance. Users can explore how similar companies performed after going public, evaluate lockup expiration events, examine underwriter histories, and compare current launches against decades of historical market data.

For cryptocurrency markets, PublicLaunch includes token launch monitoring, on-chain analytics, and rug-pull risk detection. The platform can analyze wallet distributions, liquidity conditions, developer privileges, transaction flows, and ownership concentration to identify warning signs associated with high-risk digital assets. Combined with social sentiment monitoring across platforms such as Reddit, Discord, Telegram, StockTwits, and financial news sources, PublicLaunch provides a holistic view of how narratives, communities, and market behavior interact.

The platform’s historical pattern matching and probabilistic forecasting systems are designed to help users understand possibilities rather than predict certainties. By comparing current market conditions against similar historical events, PublicLaunch generates outcome distributions, risk scenarios, confidence intervals, and probability estimates. This approach encourages data-driven analysis while avoiding the false certainty often associated with traditional forecasting systems.

Built under the GNU Affero General Public License v3.0 or later (AGPL-3.0+), PublicLaunch emphasizes transparency, reproducibility, and community collaboration. The platform supports self-hosted deployments, open algorithms, local AI models, and auditable research methodologies. By making market intelligence tools accessible and verifiable, PublicLaunch aims to provide researchers, journalists, regulators, analysts, and investors with a powerful open-source framework for understanding market behavior.

This specification is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be used freely with required attribution under Section 7. A Specification Branding License is available for attribution-free deployments, with fees based on usage, scope, and deployment size.