6f81caf15cafc7392eee1e65037ce938039fac74
FX-Intel | Decision Support System v2.4
A premium, single-page mock trading dashboard built with React, Vite, and Tailwind CSS. All data is simulated client-side — there is no real market feed.
Run it locally
npm install
npm run dev
Then open the URL Vite prints (usually http://localhost:5173).
Push it to GitHub
cd fx-intel-dashboard
git init
git add .
git commit -m "Initial commit: FX-Intel dashboard"
git branch -M main
git remote add origin https://github.com/<your-username>/<your-repo>.git
git push -u origin main
(Create the empty repo on GitHub first at github.com/new, then swap in its URL above.)
Make it live
Option A — Vercel (recommended, zero config)
- Go to vercel.com and sign in with your GitHub account.
- Click "Add New Project" and import the repo you just pushed.
- Vercel auto-detects Vite — leave the defaults (build command
npm run build, output dirdist). - Click Deploy. You'll get a live URL in about a minute, and every future push to
mainauto-redeploys.
Option B — Netlify
- Go to netlify.com → "Add new site" → "Import an existing project" → pick your repo.
- Build command:
npm run build, publish directory:dist. - Deploy.
Option C — GitHub Pages
- Install the deploy helper:
npm install --save-dev gh-pages - In
package.json, add:"scripts": { "predeploy": "npm run build", "deploy": "gh-pages -d dist" } - In
vite.config.js, uncomment thebaseline and set it to'/<your-repo-name>/'. - Run
npm run deploy. - In your GitHub repo settings → Pages, set the source to the
gh-pagesbranch. - Your site will be live at
https://<your-username>.github.io/<your-repo-name>/.
Project structure
fx-intel-dashboard/
├── index.html
├── package.json
├── vite.config.js
├── tailwind.config.js
├── postcss.config.js
└── src/
├── main.jsx # React entry point
├── App.jsx # Renders the dashboard
├── FXIntelDashboard.jsx # The dashboard itself
└── index.css # Tailwind directives
Description
Premium dark-mode trading terminal UI for an ML-powered Forex decision support system — live candlestick chart with BUY/SELL signal overlays, confidence gauge, feature importance breakdown, and simulated real-time indicators. Built with React, Vite, and Tailwind CSS.
Languages
JavaScript
98.8%
HTML
1%
CSS
0.2%