SQMATE
Every chart pattern, already drawn on every ticker
What it does
Stop drawing lines. Search any ticker and every chart pattern, candlestick signal and support level is already drawn — {p} patterns, {c} candle signals, refreshed every close. Set your own conditions and a browser alert fires the moment one is met — live on crypto, 20-min delayed on stocks. New to charts? Click any pattern for a plain-English explanation, replay it bar by bar, and practice with the ticker hidden. No picks, no signal calls. Not investment advice.
Pick the chart shapes you trade and that becomes a scan. Every day it matched in the past turns into a round you can trade candle by candle — size in, set a stop, decide when to get out — and when it matches again today the alert finds you. Channels, support, resistance and trendlines come drawn on every chart. 8,000+ US and Korean tickers scanned nightly. No picks, no tips, not investment advice.
Does the same job
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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