Research before code
Signal hypotheses are tested against out-of-sample data before anything is implemented. Most ideas do not survive that step, and finding out early is the cheap part.
Engagement model
Trading System Performance-first. Microsecond execution.
We design and build rule-based trading systems: your strategy written as explicit, tested rules, executed automatically and checked against hard risk limits before every order. From strategy backtesting to live execution at sub-millisecond latency, supporting equities, futures, options, crypto, and FX markets.
01 Strategy research
Quantitative research before the first line of code
02 Own rules engine
The strategy's rules make the decision
03 Backtesting
Every strategy against historical data
04 Risk framework
The drawdown limit is part of the design
05 Execution
Connected to several exchanges
The drawdown limit is the design
Position limits, exposure caps and automatic de-risking are specified before the return target, so the system's worst month is a decision rather than a discovery.
From research to live on one stack
The same code path runs backtest, paper trading and production, which removes the whole class of failure where a strategy behaves differently in the market than in the notebook.
Features
What's included
The full stack behind a systematic strategy, from research and rules to execution, backtesting, and the risk controls that decide when it is allowed to trade at all.
Quantitative Strategy Research
Hypothesis-driven signal research, multi-factor analysis, and strategy design across equities, futures, crypto, and FX markets.
Strategy Rules Engine
Indicator-based signals, explicit entry and exit rules, and portfolio constraints, versioned and tested like code.
Ultra-Low Latency Execution
Sub-millisecond order routing with FPGA acceleration options, kernel bypass networking, and co-location advisory support.
Backtesting Infrastructure
Production-grade backtesting engines with realistic slippage, market impact modeling, and 10+ years of tick-level data.
Risk Management Framework
Real-time drawdown controls, dynamic position limits, pre-trade checks, and automated kill switches with full audit logging.
Multi-Exchange Connectivity
Simultaneous connectivity to equity, futures, crypto, and FX venues via FIX protocol, REST, and WebSocket APIs.
Use cases
Who uses it
Designed for diverse company profiles, industries, and team structures.
Proprietary Trading Firms
Replacing manual execution with fully automated strategy pipelines operating at machine speed with institutional-grade risk controls.
Family Offices & HNWI
Systematic, auditable investment management with rule-based allocation, continuous rebalancing, and transparent reporting.
Crypto Trading Desks
24/7 market-making and arbitrage bots operating across centralized and decentralized exchanges with real-time risk limits.
Institutional Asset Managers
Quant overlays and systematic factor strategies integrated alongside existing discretionary investment processes.
How We Work
A proven process for delivering results
Analyze Requirements
We analyze your requirements, constraints, and goals to define the optimal approach.
Design Architecture
Detailed technical specification, system architecture, and a project roadmap you can hold us to.
Build Prototype / MVP
Iterative development with regular checkpoints, a running demo environment, and transparent communication.
Integrate Hardware & Software
Firmware, devices, APIs, and platforms are brought together and validated as one system, on real hardware wherever it exists.
Deploy Securely
Hardened deployment with monitoring, backups, and documentation, all quality-assured before it carries production traffic.
Maintain & Improve
Ongoing monitoring, updates, and feature evolution, so the system keeps earning its place after go-live.
Ready to Start Your Project?
Let's discuss how we can bring your vision to life.