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Expanded project description and added detailed features, project structure, and deployment instructions.
FX-Intel | Decision Support System v2.4
An institutional-grade, single-page algorithmic trading intelligence dashboard built using React, Vite, and Tailwind CSS. FX-Intel processes real-time simulated market feeds to deliver high-fidelity predictive analytics, machine learning signals, and key technical indicators for major currency pairs (EUR/USD, GBP/USD, USD/JPY).
🚀 Key Features Visualized
- Dynamic Candlestick Charting: Real-time simulated price action plotting open, high, low, and close points alongside automated BUY and SELL signal overlays.
- Live Indicator Stream: Real-time tracking of foundational oscillators and indicators including RSI (14), MACD (12, 26, 9), Stochastic %K, and ATR (14).
- Predictive Signal Engine: A dedicated ML module displaying directional confidence percentages (e.g., Bearish Continuation) and overall system recommendations.
- Feature Importance Breakdown: Dynamic progress bars mapping out the weight distribution of core market drivers (Moving Averages, RSI, MACD, and Fibonacci Levels).
- Quant Metrics Summary: Embedded performance tracking showcasing a client-side Random Forest Classifier configuration with an
84.2\%accuracy score and a2.1Sharpe Ratio. - Actionable Trade Setups: Automated generation of structural parameters including Entry Zones, Stop Loss thresholds, and Risk/Reward ratios.
🛠️ Project Structure
fx-intel-dashboard/
├── index.html
├── package.json
├── vite.config.js
├── tailwind.config.js
├── postcss.config.js
└── src/
├── main.jsx # React mounting and entry point
├── App.jsx # Layout shell wrapper
├── FXIntelDashboard.jsx # Core dashboard UI, chart layouts, and ML engine simulation
└── index.css # Tailwind CSS directives & custom utility animations
💻 Getting Started
Run It Locally
Clone the repository and navigate into the project directory:
Bash
cd fx-intel-dashboard
Install the necessary dependencies:
Bash
npm install
Boot up the Vite local development server:
Bash
npm run dev
Open the local address printed by Vite in your browser (typically http://localhost:5173).
📦 Version Control & Deployment
Push to GitHub
Create an empty repository on GitHub, then run the following commands in your terminal:
Bash
git init
git add .
git commit -m "Initial commit: FX-Intel dashboard v2.4 core"
git branch -M main
git remote add origin [https://github.com/](https://github.com/)<your-username>/<your-repo>.git
git push -u origin main
Make It Live
⚡ Option A — Vercel (Recommended)
Head to Vercel and log in with your GitHub account.
Click Add New Project and import your fx-intel-dashboard repository.
Vercel automatically configures Vite settings. Leave defaults as-is:
Build Command: npm run build
Output Directory: dist
Click Deploy. Your live production link will be ready in under a minute!
🌌 Option B — Netlify
Go to Netlify → Add new site → Import an existing project.
Connect your GitHub profile and pick your repository.
Configure your build settings: set Build command to npm run build and Publish directory to dist.
Click Deploy.
🐙 Option C — GitHub Pages
Install the deployment helper package as a development dependency:
Bash
npm install --save-dev gh-pages
Open your package.json file and append these deployments to your scripts block:
JSON
"scripts": {
"predeploy": "npm run build",
"deploy": "gh-pages -d dist"
}
Open vite.config.js, uncomment or add the base property, and point it to your repository name:
JavaScript
export default defineConfig({
base: '/<your-repo-name>/',
// ... other configs
})
Execute the deployment script:
Bash
npm run deploy
Navigate to your GitHub Repository Settings → Pages, and toggle the source branch to gh-pages. Your dashboard will drop live at https://<your-username>.github.io/<your-repo-name>/.
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%