The Core Philosophy:
Engineering Edge
Most trading ideas fail not due to a lack of intuition, but due to a lack of rigorous validation. hirus.systems was founded to bridge the gap between discretionary trading concepts and quantitative execution.
The Algorithmic Architecture
Our engine is built for speed and precision, utilizing the industry-standard Python ecosystem.
Ultrafast Vectorized Engine
Eliminating the latency of legacy event-driven systems. By utilizing vectorbt, we process entire datasets as matrices, achieving backtest speeds that outperform standard iterations by 100x.
High-Fidelity Time-Series Data
Integration with Twelve Data API provides access to verified, high-resolution historical data. This ensures precise identification of structural shifts (BOS) and Liquidity Zones across multiple timeframes, making backtest results consistent with real-world market behavior.
Algorithmic Synthesis Engine
A proprietary translation layer powered by Google Vertex AI. It performs high-precision mapping of natural language trading hypotheses into optimized code structures. This core serves as the bridge between abstract logic and the vectorbt mathematical framework.
Distributed Computation Engine
Designed for Scalable Parallel Execution, our engine calculates thousands of parameter combinations simultaneously. By utilizing high-performance cloud instances, we enable deep strategy optimization at a scale impossible for standard local environments.
AI-Driven Strategy Synthesis
We are democratizing institutional-grade quantitative tools. By removing the "technical tax" usually paid by professional traders who understand markets but not complex programming, we collapse the distance between a hypothesis and a validated PnL to zero.
By fine-tuning LLMs on specific quantitative libraries, hirus.systems allows users to describe market conditions in plain language, which the system then converts into a production-ready backtest.
This focus on the user's intent ensures that the focus remains on alpha discovery, not troubleshooting code or managing data infrastructure.
Roadmap: Scaling the Alpha
Core Infrastructure
Implementation of Multi-Test & Optimization Engines and High-Resolution Data integration via Twelve Data.
Statistical Validation
Launch of Advanced Portfolio Correlation Analysis and automated SMC structural detection (BOS/Liquidity).
Intelligence & Asset Scaling
Integration of predictive Machine Learning models for signal filtering. Expansion of technical indicator library and global asset coverage (Forex, Crypto, Indices).
Production & Execution
Development of a secure Live Execution Bridge via broker APIs and a real-time risk-management dashboard.
Building in Public
Follow the technical evolution of our algorithms and my ongoing research into market mechanics across our social ecosystem.
Contact: founder@hirus.systems