David Marc Rycott / Profile

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FX AI Institutional Execution (Precision & Risk-Control Engine) A data-driven trading system that analyzes market structure, momentum, and trend alignment before executing any position. Trades are only taken at high-probability institutional zones, with strict multi-layer confirmation filters and real-time risk evaluation. The strategy prioritizes capital protection through adaptive drawdown controls, dynamic position sizing, and volatility-based stop losses. Built with a self-learning

X AI Scalper (High-Volatility Execution Engine) A high-frequency AI strategy designed to capitalize on major economic news events using real-time market data and reinforcement learning. The system identifies short-term inefficiencies during volatility spikes and executes rapid trades with dynamic profit targeting. Risk is managed through a “portion of lots” distribution model, multi-broker execution, and equity-based stop controls tailored to investor tolerance. Built for fast execution

G0LD Quant (XAUUSD Momentum & Liquidity Strategy) A systematic gold trading strategy designed to capture medium-term momentum and institutional liquidity flows in XAUUSD. Trades are executed only when volatility and probability align, with an average holding period of ~3 days to filter noise and maximize directional moves. The system operates with a strong asymmetric risk profile (3:1 reward-to-risk), producing higher average wins than losses and a steadily compounding equity curve. With

Scalper system is an innovative trading algorithm specifically designed to capitalize on high-volatility, high-impact news events. Utilizing cutting-edge AI technology, the algorithm generates trading signals through a robust neural network framework powered by reinforcement learning. This allows for precise, real-time decision-making in response to market-moving events. Our strategy incorporates a unique "Portion of Lots" system, which enables optimal risk management by distributing positions

A fully automated forex strategy focused on steady, low-drawdown growth through short-term momentum trading across major USD pairs. The system uses strict, rules-based execution with no discretionary input, ensuring consistent and emotion-free performance. Capital is diversified across multiple pairs to reduce correlation risk, while dynamic position sizing adapts to market volatility. Designed with institutional risk controls (1–4% drawdown range), this strategy prioritizes capital preservation

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