Hermex is an institutional-grade, zero-backend market analytics and high-frequency trading
terminal running 100% client-side in the browser. Named after Hermes — the swift Greek god of
commerce, boundaries, and trade — Hermex delivers sub-100ms real-time market microstructure analysis,
mathematical risk models, and interactive visualizers directly from public exchange WebSockets with zero proxy
servers or API paywalls.
⚡ 15–40ms Latency
Direct Binance WebSockets (depth20@100ms, aggTrade, kline_1m)
🧵 Dedicated Web Worker
Off-thread VPIN, OFI, GARCH(1,1), and 10,000 Monte Carlo runs
🏛️ 100% Client-Side
Zero server backend required, native procedural Web Audio
Workspaces • Keyboard Shortcuts
⌥ + 1 • Overview
Executive cockpit displaying TradingView chart, L2 depth ladder, liquidity heatmap, active tape, and
quant KPIs in a single responsive view.
⌥ + 2 • Microstructure
Deep-dive into high-frequency limit order books, bid/ask queues, and real-time order book imbalance
metrics.
⌥ + 3 • Quant & Trends
D3.js interactive correlation chord networks, Pearson correlation heatmaps, Hurst exponents, and
Sharpe/Sortino ratios.
⌥ + 4 • Algo Lab
Interactive execution console with customizable slice durations, Kyle's Lambda market impact, and live
simulated fills.
⌥ + 5 • Risk & Portfolio
Multi-asset position tracker, P&L attribution, drawdown analysis, and Monte Carlo confidence
intervals.
Cmd + K • Spotlight
Universal command palette for instant symbol search, workspace switching, algorithm execution, and audio
toggling.
Core Quantitative Models & Innovations
- Volume-Synchronized Probability of Toxicity (VPIN): Quantifies adverse selection risk
and detects informed trader order flow imbalances across volume buckets.
- Order Flow Imbalance (OFI): Real-time calculation of liquidity deltas at the Best Bid
& Offer (BBO) with directional pressure indicators.
- Off-Thread Crunching: Computed inside
hft-worker.ts via dedicated Web
Worker to maintain rock-solid 60–120 FPS UI rendering.
- 10,000 Trajectory Simulation: Off-thread simulated portfolio paths calculating 1-day
95%/99% VaR and Expected Shortfall (CVaR).
- GARCH(1,1) Forecasting: Rolling conditional volatility forecasting with statistical
regime classifications (Normal, Elevated, Extreme).
- Bookmap-Style Canvas Heatmap: High-resolution HTML5 Canvas rendering of historical
depth density, bid/ask depth walls, and whale liquidity clusters.
- Sub-100ms L2 Ladder: Millisecond-accurate order book ladder showing micro-price
weighted spread, depth ratio, and cumulative volume.
- Simulated Execution Strategies: Live execution of TWAP,
VWAP, POV (15%), and Iceberg orders.
- Kyle's Lambda Slippage: Mathematical market impact modeling estimating price
degradation under varying execution velocity and order sizing.
- Harmonic sine and sawtooth synthesis via Web Audio API for whale order triggers (>$100k), algo
order fills, and toxicity alerts — zero external audio files.