HyperApp

HyperApp — Trading dashboard to spot Hyperliquid “whales” at a glance 🐳⚡

HyperApp visualizes key trading signals on Hyperliquid in a highly intuitive way. From public transactions, it extracts flows by extra-large / large / medium / small trade sizes and lets you grasp buy/sell imbalance and whale positioning at a glance.

🧭 Anyone can understand where the weight is right now in seconds—and make better decisions.

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✨ Features 
• 🐳 Instant whale tracking: Real-time aggregation by size (XL/L/M/S) 
• 🟥🟩 Buy/Sell balance visualization: Colors and layout for immediate intuition 
• ⚡ Responsive & lightweight: Smooth on desktop and mobile 
• 📈 Dashboard-first: Minimal layout focused on “what’s happening now”

We turn hard-to-read public data into actionable trading context.

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▶️ Demo Video (YouTube)

Watch the demo on YouTube https://youtu.be/-1qnoXaTELU

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🧪 Use Cases 
• Instantly check “Which side have XL trades favored in the last 5 minutes?” 
• Use as confirmation for headwinds/tailwinds before entering new positions 
• Cross-check flow at pivotal moments (breakouts/fake-outs)

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🛠 How It Works (Overview) 
1. Subscribe to Hyperliquid public transactions 
2. Classify by trade size: extra-large / large / medium / small 
3. Aggregate buys/sells and reflect imbalance & momentum on the dashboard

Currently based solely on public data. No private data is used.

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🗺 Roadmap (Trade Integration & Monetization) 
• Native Hyperliquid chart implementation 
• OHLC/volume, real-time tape, size overlays 
• Place trades directly from HyperApp 
• Order panel (size/price/slippage), fills, error/retry handling 
• Monetization 
• Fee rebates via brokerage/exchange linkage, Pro subscription (advanced metrics/alerts/replay), API access 
• Specific pricing and partnership schemes will be announced progressively.

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🙌 Contributing

Issues and PRs are welcome! Please feel free to propose improvements or report bugs. (Optionally, see CONTRIBUTING.md for guidelines.)

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⚠️ Disclaimer 
• This tool is not investment advice. Make final decisions at your own risk. 
• Due to the nature of the data source, latency, gaps, or minor discrepancies may occur.

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📬 Contact 
• Author: @yonkuro496 • Bug reports: GitHub Issues

If you find this useful, please ⭐️ the repo—it helps a lot!