
Deploy HyperScalp Autonomous Client Stac
Deploy and Host HyperScalp Autonomous Client Stac with Railway
Just deployed
/var/lib/postgresql/data
hyperscalp-app
Just deployed
Why Deploy and Host HyperScalp Autonomous Client Stack on Railway
HyperScalp Autonomous Client Stack is a self-hosted quantitative scalping engine and personal analytics suite. It bundles an obfuscated, high-frequency trading bot optimized for Hyperliquid and Solana perp markets with a responsive Next.js analytics dashboard, providing traders with institutional-grade execution, risk models, and L2 indicator confluences.
Deploy and Host HyperScalp Autonomous Client Stack
Deploying the HyperScalp Autonomous Client Stack on Railway provisions a private, low-latency containerized trading network on your own personal cloud. Railway deploys a dedicated, secure PostgreSQL database to persist strategy settings, active indicator states, and historical trade logs.
The core quantitative engine executes inside a secure, Cython-compiled Docker container pulling directly from GHCR, protecting proprietary algorithmic logic while running active WebSocket listeners. Simultaneously, the Next.js dashboard compiles dynamically from the sub-directory, securely routing real-time PnL analytics and strategy triggers to your bot over Railway's private internal network.
Common Use Cases
- Autonomous Perp Scalping: Run automated high-frequency scalping strategies on Hyperliquid perpetuals using order book imbalances (OBI), CVD divergence, and OI squeezes.
- Solana Meme Coin Execution: Deploy the stateful Solana engine to execute swift meme trades using Jupiter and Birdeye APIs.
- Real-Time Portfolio Tracking: Inspect active perp margins, win-rates, active leverage, signals, and historical closed trade logs in a secure, password-locked UI.
Dependencies for HyperScalp Autonomous Client Stack Hosting
- PostgreSQL Database: Used to persist local configurations, strategy settings, indicator logs, and closed trade execution histories.
- GHCR Container Registry: Hosts the secure, pre-compiled C shared-library container image to ensure absolute source-code protection.
Deployment Dependencies
- Hyperliquid API & Account — Exchange endpoint for quantitative perp execution.
- Birdeye API Developer Portal — Real-time price and token data feeds for Solana perps.
- HyperScalp Central SaaS Hub — Central hub to acquire subscription keys and authorize wallet addresses.
Implementation Details
The Next.js dashboard communicates securely with the trading engine over Railway's private mesh network on port 8080, bypassing public internet exposure:
{
"DATABASE_URL": "${{Postgres.DATABASE_URL}}",
"NEXT_PUBLIC_API_URL": "http://${{hyperscalp-bot.RAILWAY_PRIVATE_DOMAIN}}:8080"
}
## About Hosting
Deploying the HyperScalp Autonomous Client Stack on Railway provisions a private, low-latency containerized trading network on your own personal cloud. Railway deploys a dedicated, secure PostgreSQL database to persist strategy settings, active indicator states, and historical trade logs.
The core quantitative engine executes inside a secure, Cython-compiled Docker container pulling directly from GHCR, protecting proprietary algorithmic logic while running active WebSocket listeners. Simultaneously, the Next.js dashboard compiles dynamically from the sub-directory, securely routing real-time PnL analytics and strategy triggers to your bot over Railway's private internal network.
Template Content
hyperscalp-app
ghcr.io/azdevz/hyperscalp-client:latest
