🚀 Thai Crypto Sentinel 2026

AI-Powered Real-time Analytics for Everyone

A high-performance cryptocurrency monitoring dashboard that fetches live market data from Binance. This project demonstrates a powerful hybrid architecture combining the speed of Rust for high-frequency data ingestion and the real-time capabilities of Ruby on Rails 8 (Turbo Streams) for a reactive frontend.

🛠 Tech Stack

• Core Backend (Worker): Rust 🦀 (Tokio, Reqwest, Sqlx) - Optimized for high-frequency data polling with low memory footprint.
• Web Interface: Ruby on Rails 8 💎 (Hotwire, Turbo Streams) - Handling real-time broadcasts via Action Cable.
• Database: PostgreSQL 🐘 - Acting as the central data hub and real-time event broker using LISTEN/NOTIFY.
• Frontend: Tailwind CSS (Modern Dark Mode UI) & TradingView Widget 📈
• Infrastructure: Docker & Render Cloud 🐳

✨ Key Features

• ⚡ Real-time Binance Data: Connects to Binance Public API to track BTC, ETH, SOL, BNB, DOGE, and more.
• 🧠 AI Sentiment Score: Algorithmic scoring system (0-100) based on Price Action, Volume Velocity, and Volatility.
• 📉 Interactive Charts: Professional-grade technical analysis via integrated TradingView widgets.
• 🔄 Reactive UI: Uses Rails Turbo Streams to push sub-second price updates and "Flash" animations without page reloads.
• 📱 Mobile-First Design: Responsive layout optimized for all devices.

🏗 Architecture

The system consists of three main services orchestrated on Render:

1. crypto_db (PostgreSQL): Stores historical sentiment scores and serves as a message broker.
2. crypto-worker (Rust):
   • Polls Binance API for 24hr ticker data.
   • Calculates "AI Sentiment Score" logic.
   • Inserts data into PostgreSQL and triggers pg_notify events.
3. crypto-web (Rails):
   • Subscribes to DB events via Action Cable (PostgreSQL adapter).
   • Broadcasts updates to the browser via Turbo Streams.

🚀 How to Run (Local Development)

1. Clone the repository:

   git clone [https://github.com/Disorn1998/crypto_sentiment.git](https://github.com/Disorn1998/crypto_sentiment.git)
   cd crypto_sentiment

2. Build and Start with Docker:

   docker-compose up --build

3. Initialize Database:

   docker-compose exec web rails db:migrate

4. Access: Open http://localhost:3000

🌐 Deployment Note

This project is production-ready and optimized for Render Free Tier:

• Memory Management: Rust compilation is tuned with --jobs 1 to fit within 512MB RAM limits.
• Real-time Connectivity: Configured with Action Cable PostgreSQL adapter for cross-service communication.

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Developed by Disorn Suppartum