PythonPyTorchFastAPITimescaleDBGrafanaPrometheusDockerAWSRedisWebSocketsXGBoostHyperLiquidCryptoDeFi

HyperDash

HyperDash is a purpose-built trading terminal for HyperLiquid that surfaces everything a quantitative trader needs in one interface. It combines real-time candlestick charts via TradingView, a live trade log, and a performance dashboard that tracks P&L, win rate, Sharpe ratio, max drawdown, profit factor, and equity curve — all with paper trading support for strategy validation before going live.

View Live Site Start Similar Project

project_info.json

{
  "project": "HyperDash",
  "category": "web-app",
  "year": "2025",
  "status": "completed",
  "stack": [
    "Python",
    "PyTorch",
    "FastAPI",
    "TimescaleDB",
    "Grafana",
    "Prometheus",
    "Docker",
    "AWS",
    "Redis",
    "WebSockets",
    "XGBoost",
    "HyperLiquid",
    "Crypto",
    "DeFi"
  ]
}

> Project Gallery

# The Challenge

Off-the-shelf exchange UIs expose raw order books and basic charts but offer no way to track algorithmic strategy performance over time. A serious quant needs paper trading, trade attribution, and risk metrics in one unified place.

# Our Solution

Built a full trading terminal layered on top of the HyperLiquid API. TradingView charts provide real-time price data with configurable timeframes. A trade engine supports paper and live modes with per-trade status tracking. The analytics dashboard computes Sharpe ratio, drawdown, profit factor, and equity curve from the trade ledger — giving instant feedback on strategy health.

> Results

Impact & Outcomes

Sub-200ms arbitrage detection latency

14+ exchange adapters with circuit breakers

PyTorch RL-based trade execution engine

300K+ price inserts per minute

> Related Projects

GoReact

Sell Trax

Next.jsSupabase

Pouring with Heart Sales Dashboard

Ready to Build Something Similar?

Let's discuss how we can create something amazing for your business.

Start Your Project

HyperDash

{ "project": "HyperDash", "category": "web-app", "year": "2025", "status": "completed", "stack": [ "Python", "PyTorch", "FastAPI", "TimescaleDB", "Grafana", "Prometheus", "Docker", "AWS", "Redis", "WebSockets", "XGBoost", "HyperLiquid", "Crypto", "DeFi" ] }