Markets. Media. Phil'd.

Market intelligence built for retail investors and small family offices — synthesis over firehose. One dashboard that reads the tape, watches the media, and tracks the analyst calls so you don't have to.

Public demo — data refreshes daily. The local build runs live.

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See what's inside
What it does

Four views. One morning routine.

Each tab is a different lens on the same question: what matters today, and what should I pay attention to?

🌐
Global — Morning Read
Three to five synthesized POV takes on today's setup with "so what" market implications. Interactive globe with a quick macro snapshot for any country.
POV + Daily Snapshot
📋
Digest — Today's Brief
A compact setup note: headline, take, and what to watch. Below it, the week's earnings, econ prints, and analyst moves consolidated in one scannable view.
AI-Generated
📺
Intelligence
Financial-news segments tagged by theme and ticker, with an AI-written synthesis of the day's coverage up top. Analyst scorecards at the bottom: who's been right, who's been wrong, tracked over time.
AI Pipeline
🔥
Pulse
Sector heatmap + point-in-time snapshots you can compare across days. Sentiment signals: Fear & Greed, WSB / StockTwits buzz. The state of the tape at a glance.
Daily Snapshot
The proprietary layer

An AI broadcast-analysis pipeline

Feed in a financial-news segment and the pipeline does the rest — transcription via Whisper, moment detection for conviction calls, disagreements, and trade ideas, then structured, tagged summaries.

🎙️
Broadcast Analysis Pipeline
Audio extraction → OpenAI Whisper transcription → sliding-window moment detection → segment processing (FFmpeg) → dashboard rendering. Detects high-conviction calls, disagreements, hedging, trade ideas, and ticker discussions automatically.
AI Pipeline
🧠
Phil's Take
AI synthesis of the day's coverage — reads every segment, identifies dominant themes, tickers in focus, and overall market tone. One paragraph that captures the day's narrative.
AI-Generated
Built with

The stack

Full-stack application built from scratch — no templates, no boilerplate. Every component was designed and implemented for this specific use case.

Python / Flask JavaScript (vanilla) SQLite Yahoo Finance API YouTube Data API OpenAI Whisper FFmpeg Plotly.js Chart.js
Built by

Phil Alexander

Tools at the intersection of finance and technology. dataphil started as a personal project to aggregate the financial media I consume daily, and became the intelligence platform you're looking at.

Active project — new features ship regularly.

phil@dataphil.com View Dashboard