Case Study

ForesightIQ — Market Signal Intelligence

AI · Financial Markets · Predictive Analytics

AI-powered market intelligence platform that aggregates and cross-validates multiple signal sources — live market data, news sentiment, and pricing feeds — to surface high-confidence directional insights for systematic investment and risk decisions.

PythonFastAPIReactClaude APIAlpha VantageNews APIPandasSQLite

The Problem

Market-moving signals live scattered across price action, news sentiment, and pricing feeds. Reviewed separately, it's easy to mistake noise in one source for a real directional signal — and slow to cross-check them by hand before a decision window closes.

The Approach

Multi-source signal aggregation: market data, news sentiment, and pricing APIs
Cross-validation framework to filter noise and confirm signal strength
Claude API integration for natural-language signal interpretation
Confidence scoring with directional bias output per instrument
Real-time data pipeline with rate limiting and fault tolerance
Designed to replace intuition-based decisions with data-backed market intelligence

ARCHITECTURE

FastAPI · Pandas · Multi-API Data Layer · Claude SDK

IMPACT

In active development — signal validation framework live; building toward a systematic bias detection engine across correlated data sources.

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