A signal screener you can run locally in minutes: filterable feed, mini charts, expandable analysis, and built-in strategy markers. Download the zip, edit React files, and connect your alert backend.
Open the live screener
Signal screener with filters, mini charts, expandable analysis, trade panel, and alert/automation settings.
This page is your starting point: try the live screener, download a small React project, run it on your machine, then connect your signal backend. Follow the steps below and edit one file at a time.
Get started in five steps
You do not need to understand the whole docs repo — download the zip, run it, then iterate.
1
See the finished app
Open the live signal screener in another tab. Filters, mini charts, expandable analysis, and alert settings — no install yet.
2
Download the starter project
Scroll to Starter code below and click Download ZIP. You get a ready-made Vite + React project — no need to clone this docs repo.
3
Install dependencies
Unzip the folder, open your terminal app (Terminal on Mac, PowerShell on Windows), cd into the folder, and run npm install. You need Node.js 18+.
4
Run it locally
Run npm run dev. Your browser will show a local URL (usually http://localhost:5173) — open it. The chart should load with live Binance candles and strategy markers (CROSS, EXCEED).
5
Start changing things
Swap mock signals for your API, tune filters and row layout, and connect automation when you are ready. See key strategies for marker behavior.
What already works vs what you add later
The live app is a real chart UI with public market data and built-in strategy scripts. Signal ranking, copy, and execution hooks are yours to connect.
Live from Binance
Works as soon as you run the project
Candles, crosses, and mini-chart updates without API keys.
Download a zip, or copy a snippet into your own app. The zip includes src/App.tsx with ChartUI and built-in strategy markers, plus extra examples in snippets/ for chart-only and signal-feed layouts.
Scroll to For developers to download the ZIP or copy snippets, then wire your screener or alert backend when you are ready. More recipes in the tutorials.