Divergence Detector (Advanced)

Event-driven market scanner processing 500+ ticks/s

Media & Demos

Role

Lead Quant Developer

Period

2026

Category

trading

Overview

Event-driven market scanner processing 500+ ticks/s via WebSockets. Implements custom async signal processing logic to detect microstructure anomalies across fragmented liquidity pools. Features a High-performance dashboard with deep chart integration.

Key Highlights

  • Multi-Indicator Analysis: Scans proprietary momentum metrics for conflicting price signals
  • Real-Time Execution: Sub-50ms signal generation from raw WebSocket feeds
  • Advanced Filtering: Proprietary logic to minimize false positives in ranging markets
  • Professional UI: High-performance dashboard with deep chart integration
  • Robust Backtesting: Strategy validated with a 1-month continuous backtest on a 16 vCPU VM

Tech Stack

Python / FastAPI
React / Tailwind
TradingView Lightweight Charts
WebSockets
Redis
Pandas / NumPy

What I Learned

I learned that data science and market dynamics can be incredibly complex and critical. However, when executed correctly, a strategy can be robust enough to remain profitable across all market regimes. The backtest for this strategy ran almost 1 month continuously on a 16 vCPU VM to validate its edge. (Note: Further case study details are confidential).

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