Built by traders, for traders.
QuantFlowPro was born from frustration with existing tools: too slow, too expensive, too opaque. We decided to build what we needed.
The origin
In 2022, a team of quantitative engineers and professional traders faced the same problem: existing algorithmic trading platforms were either too simple for serious strategies, or too expensive for individual traders.
The arrival of large language models, and in particular Google AI Studio with Gemini models, opened a possibility that didn't exist before: integrating sentiment analysis, complex pattern recognition and volatility prediction directly into the execution engine.
QuantFlowPro is the result of two years of development, thousands of hours of backtesting and collaboration with over 50 beta traders who helped define every feature.
Project started. First backtesting prototypes.
Google AI Studio integration. Private beta with 50 traders.
Sub-5ms execution engine. Early access launch.
The technology behind QuantFlowPro
Google AI Studio
Gemini Pro models process market data, news and order flow to generate signals with explanatory context. Integration is direct via Google's official API.
Execution engine
Developed in C++ and Rust to guarantee sub-5ms latencies. The engine manages the full cycle: signal → risk validation → routing → confirmation.
Cloud infrastructure
Deployed across multiple regions with automatic failover. Market data is processed in real time with network latency under 1ms to major financial centres.
Security
End-to-end encryption, multi-factor authentication, full audit of all operations and compliance with major European regulatory frameworks.
Our principles
Full transparency
Every signal includes the model that generated it, the confidence score and the context that motivated it. No black boxes.
Verifiable performance
All backtesting data is auditable. We publish methodology, assumptions and limitations.
Risk first
The risk management system is not optional. It is integrated into the core of the execution engine.