Oleksandr Kryntsyglov / Perfil

This trading strategy is designed as a rule-based automated system focused on consistency, structure, and disciplined execution. It follows a data-driven approach, analyzing price behavior and market conditions to identify high-probability trading opportunities. The system continuously evaluates trend direction, momentum shifts, and volatility patterns to determine optimal entry and exit points. Trades are triggered only when predefined technical conditions align, helping reduce exposure to

This strategy is an algorithmic trading system designed for stable and systematic performance based on clearly defined rules. Its primary objective is to identify market opportunities with an optimal risk-to-reward ratio while avoiding emotional or impulsive decision-making. The algorithm analyzes market structure, volatility, and price dynamics, generating trading signals only when all required conditions are met. This approach focuses on the quality of trades rather than their quantity. The

This strategy is a fully automated trading system designed to operate on the H1  timeframe . It combines technical analysis, structured algorithmic logic, and disciplined risk management to perform consistently under varying market conditions. The system is based on a combination of Bollinger Bands , Stochastic Oscillator , and RCI , which together help identify overbought and oversold zones, evaluate momentum strength, and analyze short-term trend structure. Trade signals are generated

This strategy is based on a fully automated algorithmic approach and operates on the M30 timeframe , combining intraday market activity with controlled risk exposure. The system is built around three core technical indicators: Bollinger Bands – to identify overbought and oversold conditions and measure volatility; Stochastic Oscillator – to analyze momentum shifts and potential reversal points; RCI (Rank Correlation Index) – to evaluate trend strength and market structure. Trades are executed

This specialized automated strategy is designed exclusively for the AUD/CAD currency pair, focusing on medium-term trading on the H4 timeframe. At its core, the system integrates three independent analytical modules, each responsible for analyzing different aspects of market behavior. This modular structure enables deep, unbiased analysis and avoids subjective decision-making. A key element of this strategy is the use of MACD Divergence, which helps identify potential reversal points before

This strategy operates on the H4 timeframe and focuses exclusively on a refined basket of 7 currency pairs: NZD/JPY, EUR/USD, USD/CHF, USD/JPY, AUD/USD, USD/CAD, and NZD/CAD. It has been running live on a real trading account for over three years, consistently applying the same rule-based methodology with a focus on stability, risk control, and performance durability across different market cycles. Unlike broad-spectrum systems, this strategy concentrates on a carefully selected portfolio known

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