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We focus on the design of proprietary quantitative architectures, developed through years of analysis of price behavior, volatility, momentum, and market structure. We do not use generic solutions or replicated commercial strategies: each system is built from scratch, with modular logic, adaptive filters, and strict drawdown control.
We develop multi-symbol and multi-asset EAs capable of operating in Forex, metals, indices, cryptocurrencies, and synthetic markets, incorporating advanced mechanisms such as:
dynamic risk management,
protection against extreme market events,
daily loss control,
adaptation to changing volatility conditions,
and performance optimization without compromising capital stability.
The priority is not over-optimization or unrealistic results, but consistency, system survivability, and technical transparency. Each product published is thoroughly tested and designed to operate under real market conditions.
We believe in intelligent, disciplined, and technically solid systems, designed for traders who value the engineering behind algorithmic trading.
If you wish, you can contact us directly.
🌀 Telegram Channel: https://t.me/Quasarinn
✉️ Email: quasarinnovate@gmail.com
QuantFlow Engine Adaptive Intelligence System - Multi-Asset Expert Advisor for MT5 1. Overview QuantFlow Engine Adaptive Intelligence System is a multi-asset Expert Advisor for MetaTrader 5 designed to trade Forex, metals, stock indices, and cryptocurrencies from a single chart. The EA uses an independent analytical engine per instrument (each symbol is evaluated individually), while risk is managed through a centralized framework to reduce concentration risk compared to single-symbol
Multi-Symbol Expert Advisor for Deriv Synthetic Indices (Single-Chart Deployment) 1. Overview Index Synthetics EA is an algorithmic multi-symbol Expert Advisor developed for Deriv Synthetic Indices. It is designed to monitor and trade up to 39 synthetic instruments from a single EA instance using a diversified execution engine. The system includes instrument-specific logic and filters intended to adapt to the different volatility characteristics of each synthetic index. The approach prioritizes