Walnut Markets
Research any stock. See what the market is telling you.
What it does
Walnut Markets brings the research investors normally do across multiple platforms into one place. Analyze fundamentals, technicals, Congress and insider trades, institutional activity, government contracts, options flow, analyst ratings and more. Walnut then connects the evidence with a Confirmation Score, highlights where sources agree or diverge, and helps you monitor what changes after your research.
Find top-ranked stocks, track insiders and Congress trades, explore backtested strategies, and analyze market data with Walnut Markets.
See the stocks, insiders, and backtested strategies with a history of market outperformance—then use Walnut’s Confirmation Score, fundamentals, technicals, Congress activity, institutional holdings, government contracts, analyst ratings, and more to find what could outperform next. Walnut is a research terminal for investors who do their own analysis—not a trading bot, signal-call service, or robo-advisor. Explore Walnut's research tools and published strategy records with their methodology and benchmark context kept visible. Explore Congress members, corporate insiders, institutions, and government departments through their disclosed activity and history. Where Walnut has sufficient data,…from walnutmarkets.com
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Commerce · 26d ago · equitybee.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com