Technology & Product Roadmap | Wayy Research
Wayy Research
Document 03 · January 2026

Technology &
Product Roadmap

24-month development trajectory from open-source foundation to enterprise-ready platform.

3
Production Packages
32+
Data Providers
24
Month Roadmap
MIT
Open Source

Development Trajectory

This roadmap outlines the 24-month development trajectory for Wayy Research's technology stack. The foundation is already built: three production-grade open-source packages representing 18+ months of development. This roadmap focuses on commercialization, scale, and enterprise readiness.

Current Status

All three core packages are in production with MIT licenses. Combined 5,000+ GitHub stars, active community contributions, and pip-installable distribution. The infrastructure layer is complete—we're now building the monetization layer on top.

What's Already Built

WD
WRData
Market Data Infrastructure · v1.2.3 · Production

A unified API for market data aggregation across 32+ providers. Real-time and historical data from equities, options, futures, crypto, forex.

  • Provider abstraction layer—switch sources without code changes
  • Rate limiting, retry logic, and failover built-in
  • Pandas/NumPy native data structures
  • WebSocket support for real-time feeds
  • 100% test coverage with 50+ documentation examples
WT
WRTrade
Backtesting Framework · v1.1.0 · Production

Event-driven backtesting engine with position sizing and risk management. Sub-second single-asset backtests on 10 years of daily data.

  • Vectorized and event-driven backtesting modes
  • Position sizing: Kelly, fixed fractional, volatility-targeting
  • Risk management: stop-loss, take-profit, trailing stops
  • Walk-forward optimization and Monte Carlo simulation
  • Redis integration for distributed backtesting
FT
FracTime
Fractal Time Series Forecasting · v0.9.0 · Production

Novel AI approach using fractal geometry for financial time series prediction. Multi-scale pattern recognition with regime detection.

  • Hurst exponent and fractal dimension computation
  • Regime detection and classification
  • Ensemble forecasting with multiple model types
  • Confidence intervals via Monte Carlo simulation
  • Walk-forward backtesting with comprehensive metrics

24-Month Plan

Phase 1: Foundation (Months 1-6)

Focus: Platform infrastructure and initial monetization

  • wayyFinance Web App v1.0 — React dashboard for strategy monitoring
  • Authentication & Billing — Stripe integration, subscription management
  • API Gateway — Rate-limited endpoints for strategy signals
  • Strategy Marketplace — Framework for publishing strategies
  • Documentation Portal — Interactive docs with code examples

Phase 2: Scale (Months 7-12)

Focus: Performance optimization and feature expansion

  • Real-Time Engine — WebSocket streaming for live signals
  • Multi-Asset Portfolios — Cross-asset allocation and rebalancing
  • Broker Integrations — Alpaca, Interactive Brokers, Coinbase
  • Mobile App v1.0 — iOS/Android for signal notifications
  • Advanced Analytics — Performance attribution, risk decomposition

Phase 3: Enterprise (Months 13-18)

Focus: Enterprise features and institutional readiness

  • White-Label Platform — Reseller infrastructure for partners
  • SSO Integration — SAML/OAuth for enterprise customers
  • Compliance Tools — Audit logging, access controls
  • Custom Strategy Builder — No-code strategy construction
  • Data Warehouse — Historical data lake for enterprise analytics

Phase 4: Expansion (Months 19-24)

Focus: Market expansion and platform maturity

  • International Markets — Non-US equity and derivatives coverage
  • Alternative Data — Sentiment, satellite, web scraping integrations
  • ML Pipeline — Automated model training and deployment
  • API v2.0 — GraphQL endpoints, expanded functionality
  • Enterprise SLA — 99.9% uptime guarantee with support tiers

System Design

Core Stack

  • Language: Python 3.10+ (core), TypeScript (web)
  • Frameworks: FastAPI (API), React (web), React Native (mobile)
  • Database: PostgreSQL (primary), Redis (caching), TimescaleDB (time series)
  • Infrastructure: AWS (compute), Cloudflare (CDN), GitHub Actions (CI/CD)
  • Monitoring: DataDog (APM), Sentry (errors), Grafana (metrics)

Design Principles

  • API-First: All functionality exposed via documented endpoints
  • Event-Driven: Async processing for scalability
  • Stateless: Horizontal scaling without session affinity
  • Observable: Structured logging, distributed tracing
  • Testable: 80%+ coverage requirement for all new code

Team & Budget

Engineering Team (Post-Funding)

  • Month 3: Lead Engineer — Full-stack, platform architecture
  • Month 6: Backend Engineer — API development, integrations
  • Month 9: Frontend Engineer — Web and mobile applications
  • Month 12: DevOps Engineer — Infrastructure, reliability

Development Budget Allocation

Category Year 1 Year 2
Personnel $320K $680K
Infrastructure $48K $96K
Data Feeds $36K $72K
Tools & Services $24K $36K
Total $428K $884K
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