Buydy
Heat maps and ETF screeners with sector percentiles
What it does
Buydy is a research workspace for stocks and ETFs, not a broker or signal service. Screen 4,000+ large caps with heat maps that show sector and industry percentiles, not just green/red tiles. Compare ETFs side by side, save screener layouts, and monitor global indexes from one dashboard. Built for investors who outgrew Finviz-style maps but still want a fast workflow without rebuilding spreadsheets every week. 90-day free trial at app.buydy.co. No card to start. Subscribe when ready.
Register for 12 months of free access to Buydy’s ETF screener, stock and ETF heat maps, global indexes, and research workflows. No credit card.
Buydy gives self-directed investors the ETF screening tools, sector heat maps, and daily intelligence to find opportunities the index alone can't surface, systematically, not speculatively. 4,000+ large-cap stocks. 20+ fundamental metrics. Percentile rankings by sector and industry. Persistent research workflows. Automated alerts. One workspace that replaces the spreadsheets you keep rebuilding. 4,000+ large-cap stocks. 20+ fundamental metrics. Percentile rankings by sector and industry. Persistent research workflows. Automated alerts. One workspace that replaces the spreadsheets you keep rebuilding. Most investors know they should research systematically. The hard part is maintaining a…from buydy.co
Does the same job
all alternatives →
- RTRead the Tape – Wordle for daytrading, five blind S&P 500 charts a dayJul 2026 · readthetape.cc · ▲70
Read the Tape gives players the same 5 S&P500 stock charts per day to predict. You select low, medium or high confidence and then call the chart UP or DOWN. It's a 1d chart which then resolves over 5 days. Alpha is scored against the Monkey Index, a basket of 11 random coin flips at low confidence which provides a tangible win/lose condition. We're two weeks in and some interesting data is being kicked up. Players like to call tops even though stonks go up- 60% of the 70 charts so far resolve higher, players' down calls have only been right 31% of the time. There's a full stats dive at…
- IMInvestment monitoring tool for data nerds and privacy buffs2024 · mycapitally.com · ▲14
Hey HN, As someone who geeks out on both investment data and privacy tech, I built Capitally to scratch my own itch. It's encrypted on-device so that once I can afford to hire a second engineer, he cannot peek into my own data! I wanted a way to monitor ALL my investments (stocks, crypto, real estate, angel investments, etc.) in one place and really dig into the data - but without compromising my privacy. Here's how Capitally makes that possible: On the data side: Import data from CSVs, spreadsheets, or any other source via a flexible no-code editor Map any data format into a standardized…
- ICInvesty.com - Portfolio Analyzation Tool2011 · ▲26
Investy is a portfolio analyzation tool that allows individual or professional investors to breakdown a stock portfolio and see financial data across the aggregated investments. Investors can model hypothetical portfolios, leverage diversification and allocation data as well as compare their portfolio against professionals such as Warren Buffett and others. http://www.investy.com
More commerce this month
the category →
Compare your startup equity grant for free.
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