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Deploy HyperScalp Autonomous Client Stac

Deploy and Host HyperScalp Autonomous Client Stac with Railway

Deploy HyperScalp Autonomous Client Stac

/var/lib/postgresql/data

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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

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.

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