JACKSONVILLE, Fla. - Nov. 3, 2025 - PRLog -— Tickeron, a leader in AI-powered financial technology, has announced outstanding results from its newest AI Trading Agent, designed for three high-volatility leveraged ETFs: FAS, LABU, and SOXL. Using a long-only strategy on 60-minute intervals, the agent achieved a +57% annualized return and $10,636 in closed trade profits over 83 days—showcasing how machine learning can consistently capture amplified market momentum.
Built on Tickeron’s Financial Learning Models (FLMs), this trading agent detects and exploits short-term momentum patterns in 3x leveraged ETFs.
FAS tracks financial sector growth,
LABU captures biotech rallies, and
SOXL follows semiconductor surges.
Tailored for beginner and intermediate traders, the agent simplifies execution by focusing exclusively on bullish market trends—eliminating short-side risks and emotional decision-making while maintaining strong return potential.
Over an 83-day period, the agent generated $10,636 in net profits and maintained a +57% annualized return.
Up to 40 positions traded across three ETFs for consistent opportunities.
3% trailing stop-loss protected capital during volatility.
5% average gain per winning trade with a high profit-to-dip ratio.
Controlled volatility and balanced exposure ensured stability across market swings.
Driven by real-time predictive analytics, the agent identifies optimal entry points using proprietary pattern-recognition algorithms on high-frequency data. FLMs combine technical analysis with continuous machine learning, refining accuracy as market conditions evolve.
“This agent demonstrates how AI and technical analysis can work together to deliver precision trading insights,” said Sergey Savastiouk, Ph.D., CEO of Tickeron. “Our mission is to make advanced trading automation accessible and transparent for every investor.”
🔗View AI Agent: https://tickeron.com/bot-trading/3954-FAS-LABU-SOXL-Tradi...
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