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ValyouValyou.
Project Archive // 2025

Signal 
Intelligence 
Engine 

ServiceFull-Stack SaaS Platform
PartnerBanana Farmer
StatusLive & Scaling
Cycle8-12 WKS
Project Overview // Phase 01

A signal-first stock and cryptocurrency ranking platform that identifies momentum opportunities before they happen. Proprietary algorithms analyze thousands of assets daily, delivering institutional-grade intelligence to retail investors through an intuitive, real-time interface.

Master Architect's Note

"This platform processes more data in a day than most apps see in a month. The architecture had to be ruthlessly efficient: edge-first, cache-heavy, and designed for scale. Every millisecond of latency is a missed signal. We built an intelligence engine that catches momentum before the crowd."

Live System Diagnostic // Node: 0
InputRSA-4096 CoreZERO-FAILURE TOLERANCESecureAsset ID: PROTOCOL-ST-4.0.1 // DNA: 0.1% PRECISION // NODE: 0
Verified Technical Asset // Confidential
01 // THE CHALLENGE

Retail investors consistently chase stocks after they've already moved. By the time news hits mainstream, the opportunity is gone. The challenge was building a system that could ingest massive amounts of market data, score assets using proprietary algorithms, generate AI-powered analysis, and present actionable signals in real-time, all while maintaining sub-second response times.

02 // THE ARCHITECTURE

We engineered a distributed intelligence pipeline with 100+ Cloudflare Workers handling data ingestion, scoring computation, and AI content generation. A proprietary "Ripeness Score" algorithm combines technical momentum, social sentiment, and market structure into a single 0-100 signal. TradingView integration provides professional-grade charting, while Stripe powers the freemium subscription model.

Ripeness Score AlgorithmTypeScript
// Proprietary scoring combines multiple signal sources
interface RipenessFactors {
  technicalMomentum: number;  // RSI, MACD, volume profile
  socialSentiment: number;    // Social mentions velocity
  marketStructure: number;    // Support/resistance levels
  volumeAnomaly: number;      // Unusual volume detection
}

function calculateRipeness(factors: RipenessFactors): number {
  const weights = { tech: 0.4, social: 0.2, structure: 0.25, volume: 0.15 };

  return Math.min(100, Math.round(
    factors.technicalMomentum * weights.tech +
    factors.socialSentiment * weights.social +
    factors.marketStructure * weights.structure +
    factors.volumeAnomaly * weights.volume
  ));
}
Performance Metrics
0Assets Analyzed
0Background Workers
0Signal Latency
0.1% Execution // The Laboratory
Daily Assets10,000+
Data Flow
Worker Jobs100+
System Heartbeat
Update CycleLive
Response Time
Pro ConversionActive
Funnel Progress
Stack Analysis
Next.js 14SupabaseCloudflare WorkersStripeTradingViewDeepSeek AINextAuth.jsPostHog

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