Core Scope - Technical capabilities and research domains at KometX

Core Scope

KometX is an internal R&D lab building and operating proprietary algorithmic market systems for our own market participation.

Technical Capabilities

Our technical scope encompasses the full lifecycle of algorithmic trading systems—from research and modeling through production deployment and continuous monitoring. We build systems designed to operate under real-world constraints across diverse market regimes.

Research & Modeling

Hypothesis-driven research, statistical modeling, feature engineering, and regime detection methodologies.

  • • Market microstructure analysis
  • • Pattern recognition and sequence modeling
  • • Backtesting frameworks with realistic constraints

Engineering & Infrastructure

Production-grade pipelines, data engineering, cloud infrastructure, and automated deployment systems.

  • • Real-time data processing pipelines
  • • Scalable compute and storage systems
  • • CI/CD and infrastructure as code

Operations & Monitoring

Observability, alerting, incident response, and operational reliability engineering.

  • • Real-time monitoring and alerting
  • • Risk gates and position controls
  • • Incident response and recovery procedures

Research Domains

Our research spans multiple domains, each contributing to robust algorithmic systems

Market Microstructure

Order flow, liquidity dynamics, spread analysis, and execution cost modeling.

Regime Detection

Identifying market states and adapting strategies to changing conditions.

Risk Modeling

Portfolio risk, drawdown constraints, and stress testing methodologies.

Signal Processing

Feature extraction, noise reduction, and signal-to-noise optimization.

Execution Algorithms

Optimal execution strategies, TWAP/VWAP, and market impact minimization.

Data Engineering

High-frequency data pipelines, cleaning, normalization, and storage systems.

System Architecture Overview

High-level view of our technical infrastructure and system components

Data Layer

Real-time and historical market data ingestion, storage, and processing pipelines.

  • • Multi-source data aggregation
  • • Time-series databases
  • • Data quality and validation

Research Layer

Model development, backtesting, and validation environments.

  • • Jupyter notebooks and research tools
  • • Backtesting frameworks
  • • Experiment tracking and versioning

Execution Layer

Production trading systems with risk controls and execution logic.

  • • Order management systems
  • • Risk gates and position limits
  • • Execution algorithms

Monitoring Layer

Observability, alerting, and operational dashboards.

  • • Real-time metrics and dashboards
  • • Alerting and incident management
  • • Performance analytics

Explore the Platform

Review our technical scope, explore market interfaces, or read research notes.

Educational content only. Not financial advice. No client services.