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Title:
I built a free terminal that streams live crypto data from 5 exchanges simultaneously
Body:
Got tired of having 5 browser tabs open for exchange data. Built HyperData Terminal — a Rich TUI that streams live liquidations, order flow, whale positions, and funding rates from Hyperliquid, Binance, Bybit, OKX, and Deribit simultaneously.
Features:
- Liquidation heatmap (like Coinglass, but free and in your terminal)
- CVD order flow analysis
- Whale position tracking from Hyperliquid
- Pluggable paper trading engine — write your own strategy in ~30 lines of Python
- REST API for building your own tools on top
Just `pip install -e . && hyperdata` — interactive menu lets you pick what to view.
Free, open source, Apache 2.0: https://github.com/Co-Messi/HyperData-Terminal
Happy to hear what features would make this useful for your workflow.
Title:
Open-sourced a terminal dashboard with native Hyperliquid WebSocket — liquidation heatmap, whale tracking, CVD
Body:
Built this for my own trading setup — streams directly from Hyperliquid's WebSocket API.
What it shows:
- Liquidation heatmap — see exactly where positions will get wiped, for every asset
- Whale tracker — largest open positions, their PnL, liquidation distance
- Positions closest to liquidation (the "danger zone")
- CVD order flow from Binance
- Multi-exchange liquidation stream (HL + Binance + Bybit + OKX)
One command: `hyperdata`
No API key needed. Free. https://github.com/Co-Messi/HyperData-Terminal
Built with Python + Rich. Would love feedback from the HL community.
Title:
Show r/Python: Built a Rich TUI that streams live crypto market data from 5 exchanges via WebSocket
Body:
Project: HyperData Terminal — a Rich-based TUI that connects to 5 exchange WebSocket feeds simultaneously and renders live market data in your terminal.
Tech stack:
- Python 3.12+
- Rich for TUI rendering (Live, Layout, Panel, Table)
- aiohttp for async WebSocket connections
- SQLite for persistence
- 14 data components running concurrently via asyncio
The interesting engineering challenge was keeping 5 concurrent WebSocket connections alive while rendering at 4fps without flickering. Rich's Live context manager + careful async lifecycle management made it work.
Also includes a pluggable paper trading engine where you subclass a Strategy class and implement one method.
`pip install -e . && hyperdata`
Code: https://github.com/Co-Messi/HyperData-Terminal
Feedback welcome — especially on the Rich TUI patterns. First time building something this complex with Rich.
Title:
Show HN: HyperData Terminal – stream live crypto data from 5 exchanges in your terminal
URL: https://github.com/Co-Messi/HyperData-Terminal
Best time to post: Tuesday–Thursday, 8–9 AM PST
Just shipped HyperData Terminal — open-source Rich TUI that streams live data from @HyperliquidX @binance @Bybit_Official @OKX @DeribitExchange simultaneously.
Liquidation heatmap, whale tracking, CVD order flow, paper trading — all in your terminal.
Free: github.com/Co-Messi/HyperData-Terminal
[ATTACH GIF/SCREENSHOT]
Tagline: Bloomberg Terminal vibes, $0 price tag
Description:
HyperData Terminal streams live crypto market data from 5 exchanges directly into your terminal. Track liquidations, whale positions, order flow, and funding rates — all updating in real-time via WebSocket.
Built for traders who live in the terminal. No browser needed, no subscription, no API keys. Just pip install and go.
Features:
- 6 live dashboards (liquidation heatmap, whale tracker, CVD, market overview, and more)
- Paper trading engine with pluggable strategies
- LLM agent integration (GPT, Ollama, Groq)
- REST API for building custom tools
- Apache 2.0 licensed
Category: Developer Tools > CLI Tools
Post in #share-your-project or equivalent channels:
| Server | Angle |
|---|---|
| Hyperliquid Discord | "Built a terminal with native HL WebSocket support" |
| Freqtrade Discord | "Complements your bot with live market data terminal" |
| Python Discord | "Rich TUI showcase — 5 concurrent WebSocket feeds" |
- awesome-trading
- awesome-python
- awesome-systematic-trading (4K stars)
- awesome-rich (if exists)
- Buffer/Typefully — schedule all social posts in advance
- GitHub star-history — add star-history.com badge to README after hitting 100 stars
- GitHub Discussions — enable in repo settings for community Q&A
- GitHub social preview — upload the swoosh logo as social preview image (Settings → Social preview)
- Never post multiple subreddits on the same day (looks like spam)
- Respond to EVERY comment within hours (engagement drives algorithm)
- Lead with the problem you solved, not the features
- GIF/screenshot is mandatory for Twitter and Reddit
- Don't say "AI-powered" on r/algotrading (they hate AI hype). Say "pluggable strategy engine"