Institutional Intelligence, Retail Accessibility
goMacro.ai brings Wall Street-grade macroeconomic analysis to retail traders. Powered by Claude Sonnet 4.5 and real-time market data feeds, we democratize access to the insights that move markets.
About the Creator
Built by Jami, a seasoned finance professional with a passion for democratizing institutional-grade market intelligence. After a decade of working both as a platform engineer and institutional trader / market maker in algorithmic trading and fixed income electronification at both Swiss and American banks, I recognized a gap: retail traders had no access to the sophisticated macroeconomic analysis that drives institutional decision-making.
goMacro.ai is the result of combining deep financial expertise with cutting-edge AI. From the economic calendar scenarios to the portfolio consensus engine, every feature is designed to answer one question: "How will this macro economic event actually affect my positions?"
The platform leverages Claude Sonnet 4.5's advanced reasoning capabilities to synthesize multiple data streams into actionable intelligence, all delivered in under 5 seconds. Institutional analysis, reimagined for the individual investor.
Platform Architecture
goMacro.ai is built on 6 core modules, each engineered with custom prompt frameworks, intelligent caching strategies, and fail-safe data pipelines. Here's the full scope of what powers your institutional-grade analysis.
Economic Calendar Engine
Economic event tracking with AI Powered scenario analysis for every major data release. The system generates Bull/Bear/Base case frameworks at data upload, with specific numeric triggers, asset class implications, and portfolio action recommendations ready for instant retrieval.
Scenarios are generated using prompts that incorporate event type, historical volatility, consensus expectations, and current market regime. Post-release actuals are fetched and cached to storage for instant retrieval with 7-day TTL.
AI Macro Inference Engine
Advanced prompt engineering framework that transforms raw market data into institutional-quality analysis. Each call is engineered with context-aware prompts incorporating your specific holdings, current macro conditions, and upcoming event risk.
Each call includes a specialized prompt template with: current macro context (VIX, yields, regime), ticker-specific technicals (RSI, momentum, volume), recent news sentiment scores, and upcoming event risk factors. The system maintains conversation context for coherent multi-ticker analysis.
Live Portfolio Analysis Feed
Continuous stream of ticker-specific intelligence combining real-time news headlines, goMacro summaries, and consensus signals. Articles are processed through quality filters, summarized by Claude, and overlaid with Better Buyer/Seller signals from the consensus engine.
The feed processes incoming news through a multi-factor quality filter (ticker mention frequency, source reputation, recency, headline relevance), generates concise AI summaries, and overlays consensus signals. Articles are deduplicated by URL and ranked by quality score × recency weighting.
Market Consensus Intelligence
Proprietary multi-factor scoring algorithm that synthesizes technical indicators, macro conditions, sentiment data, and event proximity into actionable Better Buyer/Seller signals with confidence ratings for every ticker in your portfolio.
The consensus score (0-100) is computed by weighting sub-scores from each pillar. Scores ≥65 generate 'Better Buyer' signals; ≤35 generate 'Better Seller'. Confidence levels (low/medium/high) are derived from score dispersion across pillars and data completeness metrics.
Multi-Source News Aggregation
Enterprise-grade news pipeline aggregating from 3+ financial data providers with automatic failover, quality scoring, and intelligent deduplication. Includes real-time breaking news detection that triggers cache invalidation for market-moving events.
Each article is scored based on ticker mention frequency, source reputation, recency, and headline relevance. Breaking news headlines are scanned against curated trigger keywords with 4-hour recency filtering. Detection triggers immediate cache invalidation across all layers, ensuring users see current analysis during market-moving events.
Global Macro Market Intelligence
Real-time macro regime identification synthesizing treasury yields, volatility indices, yield curve dynamics, and Fed policy into portfolio-specific recommendations. The system contextualizes raw data into actionable narratives with Consider/Watch/Opportunity frameworks.
The Market Intelligence module synthesizes multiple macro signals through Claude's reasoning engine, generating coherent narratives with three action categories: Consider (immediate portfolio actions), Watch (monitoring triggers and levels), and Opportunity (potential entry points). Cache is invalidated on VIX moves >15% or Treasury shifts >0.15%.