Mathematical modeling and statistical analysis for systematic strategy development. Licensing quantitative models to partners.
Quantaxy develops quantitative models using mathematical methods, statistical analysis, and machine learning techniques. We license computational solutions to partners for integration into their systems and products.
Systematic development of quantitative strategies using time series analysis, statistical modeling, and machine learning frameworks. Focus on momentum detection, volatility modeling, and pattern recognition in financial time series data.
Years Quant Experience
Statistical analysis, regression models, and stochastic processes for model development
1-minute OHLCV bars and tick-level data processing for model training and validation
CUDA-accelerated parallel processing with multithreading optimization
Mathematical models and statistical solutions available for licensing. Partners integrate our computational methods into their technology stack.
Partners license our models through API endpoints and integrate them into their own software platforms
Time series analysis, momentum detection, and volatility modeling systems developed using statistical methods
Mathematical models using statistical analysis and machine learning techniques
Active products available through partner implementations
Live ETI certificate on Börse Stuttgart (ISIN: DE000AMC0CF5). Four-regime systematic momentum strategy with dynamic asset allocation based on market conditions. Approximately 2.5 portfolio switches per month.
Live
Trading Status
4
Model Modes
Intraday volatility capture model with four-component signal framework. Same-day data processing with daily risk reset. All positions close before market end—no overnight exposure.
Intraday
Trading Horizon
70%
Liquidity Maintained
Volatility regime mean-reversion strategy with four positions: short volatility (31%), long volatility (20%), tail risk hedge via CAOS ETF (5%), and bonds/cash (44%). Up to twice daily signal frequency.
4
Regime States
8.5
Trades/Month
Infrastructure for quantitative research and options strategy backtesting
Platform for testing quantitative strategies with historical data. Includes basic transaction cost modeling and supports multiple model types
CUDA support for parallel processing of computational tasks. Used for Monte Carlo simulations and parameter optimization
Database infrastructure for storing historical market data. Includes options chains and price history for backtesting purposes
Standard quantitative analysis tools including options pricing models and basic risk metrics. Performance measurement and reporting capabilities
Flexible environment for strategy development:
GPU-based computing environment for running backtests and simulations. Supports parallel processing for faster computation
Development of systematic models based on backtesting results. Regular updates and monitoring of model performance
License mathematical models and statistical solutions for integration into your technology stack
Technical documentation, integration guides, and API specifications available for licensed partners.
Email:info@quantaxy.com
Technical specifications, model documentation, and integration requirements for quantitative model licensing.
Contact Business DevelopmentMathematical models licensed to qualified partners. API-based integration model. Enterprise software solutions. Requires technical implementation and statistical validation. Models are mathematical frameworks with inherent limitations and assumptions.