Investor
Prospectus
Private Offering Memorandum for Wayy Research's $1.2M seed financing at a $12M post-money valuation.
Executive Summary
Wayy Research is an AI quantitative finance company building the infrastructure layer for modern algorithmic trading—from institutional-grade data aggregation to AI-powered forecasting to automated trade execution.
Founded in 2024, we've already shipped three production-grade open-source packages with combined 5,000+ GitHub stars. Our founder brings 9+ years of experience across institutional trading floors including Crabel Capital Management, ICE, and Uniper Global Commodities.
We're raising $1.2M at a $12M post-money valuation to accelerate product development, expand our data provider network, and launch our enterprise sales motion.
The Opportunity
The $55B financial data and analytics market is being disrupted by democratization. Retail traders now represent 25% of daily volume, yet professional-grade tools remain locked behind $24,000/year Bloomberg terminals and $50,000+ API contracts.
Wayy Research bridges this gap with open-source infrastructure that's free to inspect, transparent in methodology, and accessible at price points 100x below institutional alternatives.
Business Model
Wayy Research operates four interconnected revenue streams, each reinforcing the others through shared infrastructure and customer relationships.
Wayy Funds is a traditional hedge fund with 2/20 fee structure for accredited investors. wayyFinance is a SaaS platform providing tools and strategy signals—users maintain custody and execute their own trades. These are completely separate regulatory profiles sharing infrastructure.
Revenue Mix (Year 5 Projection)
The Flywheel
Our open-source packages (WRData, WRTrade, FracTime) drive developer awareness and trust. A percentage convert to wayyFinance trials, then paid subscriptions. Power users become consulting clients. Successful strategies attract fund investors. Each piece accelerates the others.
Unit Economics
Blended LTV:CAC of 43:1 to 138:1 depending on channel. Marketing efficiency driven by organic acquisition through open-source community—42% of wayyFinance trials originate from GitHub referrals with zero paid acquisition cost.
| Stream | Year 1 | Year 3 | Year 5 | LTV:CAC |
|---|---|---|---|---|
| wayyFinance | $480K | $7.2M | $26.0M | 43:1 |
| Wayy Funds | $240K | $2.9M | $9.5M | 138:1 |
| Consulting | $180K | $2.2M | $7.1M | 98:1 |
| Apps & Data | $120K | $1.4M | $4.7M | 76:1 |
| Total | $1.02M | $13.7M | $47.3M | — |
Technology & Product
Our platform is built on three open-source Python packages—already in production, MIT-licensed, and accumulating community contributions. This foundation enables rapid iteration while building trust through transparency.
Dead-simple access to historical and real-time market data from 32+ providers and 100+ cryptocurrency exchanges. A single API abstracts away the complexity of different data sources, formats, and authentication methods.
- 32+ data providers: Yahoo Finance, Polygon, Alpaca, FRED, CoinGecko, and more
- Real-time WebSocket streaming from Coinbase, Finnhub, Kraken
- Level 2 orderbook data with full depth-of-market updates
- Options chains with Greeks from Tradier and Interactive Brokers
- Built on Polars for 10-50x faster processing than pandas
Complete backtesting and live trading framework. Takes strategies from research to production with built-in validation tools that ensure statistical significance before any real capital is deployed.
- N-dimensional portfolio construction with hierarchical weighting
- Permutation testing to detect overfitting (1000+ simulation runs)
- Kelly criterion optimization for position sizing
- Walk-forward validation with out-of-sample testing
- Multi-broker support: Alpaca, Interactive Brokers, Coinbase
Implements the Fractal Market Hypothesis through advanced time series analysis. Computes fractal properties of financial data—Hurst exponents, fractal dimensions—and uses these to generate probabilistic forecasts.
- Hurst exponent analysis for trend/mean-reversion classification
- Ensemble forecasting: ARIMA, GARCH, Prophet, LSTM models
- Monte Carlo simulation for confidence interval estimation
- Automatic model selection with statistical significance testing
- Walk-forward backtesting with comprehensive metrics
Market Opportunity
The financial data and analytics market is undergoing structural transformation. Democratization of trading, rise of quantitative approaches, and cloud infrastructure maturity create a generational opportunity.
Market Trends
- Democratization: Robinhood brought 23M new investors; retail now 25% of daily volume
- Quantitative Rise: Quant funds manage $1.5T+ (15% of industry), growing faster than discretionary
- Alternative Data: $6B market growing to $15B by 2030; alpha increasingly from non-traditional sources
- Open Source: Python/R replacing Excel and MATLAB; transparency valued post-GFC
- Cloud Maturity: Infrastructure costs declining 20%/year; global deployment trivial
Competitive Position
Wayy Research operates in the intersection of three markets: quantitative trading tools, financial data infrastructure, and alternative investments. No single competitor addresses all three.
Key Differentiators
- Open-Source First: Code is auditable, forkable, and community-improved—building trust that proprietary platforms can't match
- Full-Stack Integration: Data → Backtest → Execute in one platform, not cobbled together tools
- Institutional Quality, Accessible Price: 100x cheaper than Bloomberg for core functionality
- Fund + Platform Synergy: Proven strategies attract both subscribers and investors
vs. Key Competitors
| Competitor | Their Focus | Our Advantage |
|---|---|---|
| QuantConnect | Cloud-native IDE | Open-source, no lock-in, unified data layer |
| Bloomberg | Institutional terminals | 100x cheaper, programmatic-first |
| TradingView | Charting, social | Python-native, real backtesting |
| Alpaca | Execution | Full research stack, we integrate with them |
Financial Projections
Conservative bottoms-up model built from unit economics. All projections assume declining growth rates over time as markets mature.
Use of Funds
- 40% Product Development: Platform enhancement, data coverage expansion
- 25% Marketing & Sales: Customer acquisition, sales team build-out
- 20% Infrastructure: Cloud computing, data feeds, compliance systems
- 15% Working Capital: Operational runway, strategic reserves
Capital Efficiency
Maximum capital requirement of $942K implies significant runway buffer from $1.2M raise. Path to profitability doesn't depend on future financing rounds—optionality preserved.
Leadership Team
Rick Galbo — Founder & CEO
Quantitative researcher and developer with 9+ years of experience building trading systems and data infrastructure across institutional finance. Track record spans systematic hedge funds, exchange technology, energy trading, and enterprise consulting.
Experience: Citi (current), Crabel Capital Management, ICE, Uniper Global Commodities, Maven Wave/Google Cloud
Credentials: B.S. Statistics (Loyola Chicago), ML/AI Intensive (Deep Atlas), FINRA SIE & Series 57
Key Hires (Post-Funding)
- Month 3: Lead Engineer — Platform development, infrastructure scaling
- Month 6: Head of Marketing — Content, community, paid acquisition
- Month 9: Head of Sales — Enterprise accounts, partnerships
- Month 12: General Counsel — Regulatory compliance, fund operations
Investment Terms
We're raising $1.2M via SAFE (Simple Agreement for Future Equity) at a $12M post-money valuation cap, offering early investors favorable terms with standard protective provisions.
SAFE Terms
Return Scenarios
| Scenario | Exit Value | Investor Return | Multiple |
|---|---|---|---|
| Conservative | $150M | $15M | 12.5x |
| Base Case | $378M | $37.8M | 31.5x |
| Aggressive | $600M | $60M | 50.0x |
Risk Factors
This is a speculative investment with high risk of total loss. Only invest capital you can afford to lose entirely. Past performance of similar ventures is not indicative of future results.
Company Risks
- Early-Stage Risk: Limited operating history; high failure rates regardless of management quality
- Key Person Risk: Substantially dependent on founder's continued involvement
- Single-Founder Risk: Institutional knowledge concentrated; operational vulnerability
Market Risks
- Competitive Risk: Well-funded competitors could replicate technology or undercut pricing
- Adoption Risk: Projected customer acquisition rates may not materialize
- Cryptocurrency Exposure: Significant revenue tied to volatile, uncertain market
Regulatory Risks
- Investment Adviser Classification: Strategy signals could trigger SEC registration requirements
- Fund Registration: Wayy Funds requires SEC registration approaching $25M AUM
Legal & Compliance
Entity Structure
Wayy Research is currently organized as a Delaware Limited Liability Company. The company will convert to a Delaware C-Corporation prior to Series A financing or SAFE conversion, whichever occurs first.
Offering Details
This offering is made pursuant to SEC Regulation D, Rule 506(b). Securities offered have not been registered under the Securities Act of 1933 or any state securities laws and may not be offered or sold absent registration or an applicable exemption.
This document is for informational purposes only and does not constitute legal, tax, or investment advice. An investment in Wayy Research is speculative and involves a high degree of risk. Investors should only invest risk capital that they can afford to lose entirely.
Neither the Securities and Exchange Commission nor any state securities commission has approved or disapproved of these securities or determined if this prospectus is truthful or complete.
Contact & Next Steps
For more information about investing in Wayy Research or to begin the investment process, please contact us using the information below.
Investment Process
- Initial Conversation: Schedule a call to discuss your investment criteria and learn more about Wayy Research
- Due Diligence: Access complete data room with financial model, technical documentation, and supporting materials
- Documentation: Review and execute SAFE agreement; accredited investor verification required
- Funding & Onboarding: Wire transfer of investment; receive confirmation and access to investor updates
Thank you for your interest in Wayy Research. We look forward to the opportunity to partner with you in building the future of quantitative finance.