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Documentation Index

Fetch the complete documentation index at: https://www.tradenet.org/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Introduction

TradeNet Terminal is a native desktop trading terminal for crypto derivatives. Built in Rust with the Iced GUI framework. GPU-accelerated rendering via wgpu (the rendering backend for Iced’s canvas). Sub-1ms exchange latency. It aggregates order flow from Binance, Bybit, OKX, and Hyperliquid into a single interface. Currently in closed beta (v0.8.6). Available on Windows and macOS.

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The Problem

Other platforms use static liquidation models. They estimate where liquidations sit, but those models do not adapt. When market conditions shift, the model stays the same. You are trading on stale projections. That is not good enough.

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The Solution

TradeNet Terminal runs a self-calibrating liquidation prediction algorithm. It continuously adapts its leverage weight distribution using real liquidation events as feedback. Static models decay. This one stays accurate. The algorithm ingests real-time data from Binance, Bybit, and OKX, models open interest distribution, and projects liquidation clusters before price reaches them. A calibrator adjusts leverage weights in real time based on actual forceOrder events from all three exchanges. You see the targets. You position ahead of the move.

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Supported Exchanges

  • Binance - USDT and COIN-M perpetuals
  • Bybit - Linear and inverse perpetuals
  • OKX - USDT-M and COIN-M swaps
  • Hyperliquid - All listed perpetuals (trades/orderflow only)
The liquidation heatmap backend collects data from Binance, Bybit, and OKX via WebSocket. Hyperliquid is connected on the frontend for trades and orderflow. All data streams simultaneously. No API keys needed for market data. The terminal handles connection management and reconnection automatically.

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Tech Stack

The terminal is built from scratch. No Electron. No web wrapper.
  • Rust + Iced GUI framework for the native desktop frontend
  • wgpu as the rendering backend for Iced’s canvas (GPU-accelerated charts)
  • Python/FastAPI backend on Hetzner for server-side data processing and aggregation
  • Custom protocol for compressed market data streaming
Everything is optimized for speed. The rendering pipeline runs on your GPU. Data processing runs on dedicated servers. Your machine handles display. The servers handle the math.