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Market Signal Dashboard

AI-powered synthesis of market signals for macro investors

PythonNext.jsOpenAI APISupabaseVercel

Overview

A dashboard that aggregates financial news, earnings transcripts, and economic data, then uses LLMs to surface actionable signals for macro-oriented investors.

Problem

Macro investors spend hours reading news, transcripts, and reports to form views. The signal-to-noise ratio is extremely low.

Approach

Built a data pipeline that ingests 50+ sources daily. Used GPT-4 for summarization and signal extraction. Designed a clean feed-style interface with filters by theme, asset class, and sentiment.

Outcome

Personal tool that saves me 2+ hours per day of reading. Shared with 5 investor friends who use it weekly.

Learnings

LLM summarization is only as good as your prompts and source quality. Garbage in, garbage out still applies. Retrieval augmented generation was essential for accuracy.