WARSAW, Poland - Sept. 23, 2025 -- Tickeron, a leader in AI-driven financial tools, today announced impressive results from its AI Trading Agent focused on three leveraged ETFs: FAS, LABU, and SOXL. Operating on a long-only strategy with 60-minute intervals, the agent has generated a +78% annualized return and $7,198 in closed trades profit over 43 days.
Agent Overview
The AI Trading Agent represents a streamlined approach to capturing high-momentum opportunities in volatile sectors. It targets FAS (3x leveraged financial sector ETF), LABU (3x biotech), and SOXL (3x semiconductors), magnifying positive market movements without short-selling complexities. Ideal for beginner to intermediate traders, it reduces psychological stress by focusing solely on bullish phases.
Performance Highlights
With 113 closed trades, the agent boasts a 66.37% win rate, an average trade profit of $126.38, and a profit factor of 4.33. Risk management includes a tight 3% trailing stop-loss, yielding an average gain of 5% per successful trade. The Sharpe Ratio stands at 0.00, with maximum consecutive wins of 25 trades totaling $2,963.85. Drawdown metrics show absolute drawdown at $2,775.54 and a profit/drawdown ratio of 2.61.
Strategic Features
Powered by Tickeron's Financial Learning Models (FLMs), the agent uses machine learning for pattern recognition, predictive analytics, and real-time data processing. It opens up to 40 positions, entering the same ETF multiple times on strengthening signals. The long-only focus ensures capital efficiency, turning modest moves into significant gains via 3x leverage.
CEO Insights
Sergey Savastiouk, Ph.D., CEO of Tickeron, stated, "Through Financial Learning Models (FLMs), we integrate AI with technical analysis to help traders navigate volatility. This agent provides real-time insights, enhancing control in fast markets."
This agent underscores Tickeron's commitment to accessible algorithmic trading, offering high-momentum exposure with minimal overhead. For more details, visit Tickeron.com.