PublicLaunch Specification

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PublicLaunch

Quantifying Market Behavior.

PublicLaunch is an open-source AI-powered market intelligence platform designed to quantify market behavior through historical analysis, hype detection, manipulation-risk assessment, IPO research, cryptocurrency launch monitoring, and probabilistic outcome modeling.

The platform helps researchers, investors, journalists, analysts, educators, and regulators identify unusual market activity, compare current events to historical patterns, and evaluate market behavior using transparent data-driven methodologies. PublicLaunch focuses on research, analytics, and market transparency rather than investment recommendations or trading signals.

Objectives

Quantify market behavior using historical data.
Detect potential pump-and-dump activity.
Analyze IPOs and public market launches.
Monitor cryptocurrency launches and ecosystem risks.
Measure social hype and sentiment trends.
Generate probabilistic outcome models.
Improve market transparency through open-source research.
Provide explainable AI-driven market intelligence.

Modules

Market Surveillance & Intelligence Modules

Real-Time Asset Monitoring

Continuous monitoring of stocks, ETFs, IPOs, SPACs, cryptocurrencies, and digital assets
Custom watchlists
Sector and industry monitoring
Exchange-specific tracking
Asset comparison tools
Market event alerts

Market Behavior Analytics

Price movement analysis
Volume anomaly detection
Volatility measurement
Liquidity analysis
Market participation metrics
Trend acceleration detection
Momentum analysis
Market cycle identification

Market Integrity Scoring

Manipulation risk assessment
Hype intensity scoring
Liquidity risk scoring
Volatility risk scoring
Ownership concentration analysis
Transparency scoring
Composite market integrity index

Pump and Dump Detection Modules

Behavioral Pattern Analysis

Rapid price acceleration detection
Abnormal volume detection
Coordinated trading identification
Price-volume divergence analysis
Historical pump pattern matching
Short-term speculation indicators
Momentum exhaustion detection
Artificial demand identification

Manipulation Risk Engine

Probabilistic manipulation scoring
Confidence ratings
Risk categorization
Historical comparison models
Event clustering analysis
Coordinated activity detection
Escalation tracking
Early warning indicators

Alert System

Real-time anomaly alerts
Risk threshold notifications
Watchlist monitoring
Volume spike alerts
Sentiment surge alerts
Ownership concentration alerts
Liquidity change alerts
Custom rule creation

IPO Intelligence Platform Modules

IPO Research

IPO database
Filing analysis
Prospectus review assistance
Underwriter analysis
Industry comparisons
Historical IPO benchmarking
Listing performance tracking
Lockup expiration tracking

IPO Outcome Modeling

Historical peer identification
Similar IPO discovery
Performance probability estimates
Sector outcome analysis
Market environment comparisons
Historical success metrics
Risk-adjusted forecasts
Long-term performance analysis

Public Company Launch Analysis

Direct listings
SPAC mergers
Reverse mergers
Exchange transfers
Secondary offerings
Public market transitions
Capital raising events
Corporate action tracking

Cryptocurrency & Token Analysis Modules

Token Launch Monitoring

New token tracking
Token listing analysis
Exchange launch monitoring
Presale analysis
Launch event tracking
Community growth tracking
Liquidity monitoring
Trading activity monitoring

Rug Pull Detection

Liquidity lock verification
Ownership concentration analysis
Developer wallet monitoring
Contract privilege analysis
Mint authority review
Treasury wallet analysis
Insider activity detection
Exit risk assessment

On-Chain Analytics

Wallet clustering
Large holder monitoring
Transaction flow analysis
Exchange transfer tracking
Smart contract interaction analysis
Holder distribution analysis
Network activity analysis
Token circulation monitoring

Social Hype Intelligence Modules

Social Sentiment Monitoring

Reddit monitoring
StockTwits monitoring
Discord monitoring
Telegram monitoring
YouTube trend tracking
News sentiment analysis
Influencer activity tracking
Community engagement measurement

Hype Detection

Mention velocity tracking
Sentiment acceleration measurement
Trend emergence detection
Viral growth identification
Narrative analysis
Topic clustering
Momentum scoring
Community expansion tracking

Coordinated Activity Detection

Synchronized posting analysis
Network influence mapping
Message similarity detection
Community overlap analysis
Promotion campaign identification
Bot behavior detection
Amplification analysis
Influence concentration measurement

Historical Pattern Matching Modules

Historical Event Library

IPO history database
Market event archive
Crypto launch archive
Meme stock history
Volatility event database
Market anomaly archive
Sentiment event archive
Corporate action history

Similarity Engine

Pattern matching algorithms
Behavioral similarity scoring
Market condition comparisons
Sector comparison analysis
Asset lifecycle comparisons
Outcome clustering
Event similarity rankings
Historical analog discovery

Outcome Analysis

Historical outcome distributions
Performance ranges
Probability modeling
Drawdown analysis
Recovery analysis
Success rate calculations
Risk-return comparisons
Scenario modeling

Probabilistic Forecasting Modules

Probability Models

Outcome probability estimates
Risk distributions
Confidence intervals
Scenario analysis
Historical probability comparisons
Trend continuation estimates
Reversal probability estimates
Event impact probabilities

Forecasting Dashboard

Outcome visualizations
Probability charts
Historical comparison views
Scenario exploration tools
Confidence scoring
Forecast explanations
Assumption tracking
Model transparency reports

Artificial Intelligence Platform Modules

AI Research Assistant

Natural language queries
Market event explanations
Historical comparison summaries
Trend analysis assistance
Research report generation
Market narrative analysis
Data interpretation assistance
Investigation guidance

Explainable AI

Decision transparency
Factor contribution analysis
Model reasoning summaries
Evidence reporting
Source attribution
Confidence explanations
Risk factor breakdowns
Historical justification reports

Data Collection & Processing Modules

Market Data Integration

Equity market feeds
Cryptocurrency exchange feeds
Economic indicators
Options market data
Corporate filings
Public disclosures
Alternative data sources
Historical archives

News & Information Processing

Financial news aggregation
Regulatory announcement monitoring
Press release analysis
Filing extraction
Event classification
Topic categorization
Sentiment extraction
Narrative tracking

Reporting & Visualization Modules

Dashboards

Market integrity dashboard
IPO dashboard
Crypto intelligence dashboard
Social sentiment dashboard
Risk monitoring dashboard
Historical comparison dashboard
Research workspace
Executive summary dashboard

Reports

Manipulation risk reports
IPO research reports
Asset intelligence reports
Historical comparison reports
Market behavior reports
Trend analysis reports
Investigative reports
Custom report generation

Visual Analytics

Interactive charts
Historical overlays
Probability distributions
Sentiment timelines
Network visualizations
Ownership maps
Risk heatmaps
Market behavior dashboards

Research & Investigation Tool Modules

Analyst Workspace

Investigation case management
Evidence collection
Annotation tools
Research notebooks
Watchlist management
Collaboration tools
Historical bookmarking
Event tracking

Data Export

CSV export
JSON export
API access
Research package export
Report export
Historical data export
Batch processing
Scheduled exports

Open Platform Features

Open Source Infrastructure

AGPL 3.0+ licensing
Self-hosted deployment
Local AI model support
Transparent algorithms
Community contributions
Plugin architecture
Public documentation
Reproducible research

Privacy & Control

Local processing options
Self-hosted databases
Custom AI models
Data retention controls
User-controlled integrations
Audit logging
Permission management
Deployment flexibility

Enterprise Features

Multi-User Environment

Team workspaces
Role-based permissions
Shared investigations
Collaboration tools
Organizational dashboards
Workflow management
Audit trails
Activity monitoring

API & Automation

REST API
Webhook support
Alert automation
Scheduled analysis
Custom integrations
Third-party connectors
Workflow automation
Data synchronization

Future Expansion

Regulatory Intelligence

SEC enforcement tracking
Regulatory event monitoring
Market conduct analysis
Enforcement trend analysis

Institutional Analytics

Hedge fund activity analysis
Institutional ownership monitoring
Fund flow analysis
Market structure analytics

Global Markets

International IPO tracking
Global exchange monitoring
Cross-market analysis
Multi-region intelligence

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system
Copyleft enforced for network deployments
Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/publiclaunch/

License & Notice Requirements

PublicLaunch is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com.
PublicLaunch specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – PublicLaunch

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – June 5, 2026
Created the repository for PublicLaunch. Designed and initiated an open-source AI platform for quantifying market behavior through IPO analysis, hype detection, manipulation-risk assessment, historical pattern matching, and probabilistic outcome modeling for public market and digital asset launches.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – PublicLaunch

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.