LONDON - TelAve -- Key Takeaways

• AI trading systems captured strong ETF performance during volatility linked to FOMC rate expectations.
• Swing trading strategies in US technology and index ETFs achieved +51% annualized return with $63,927 closed P/L.
• Leveraged ETF agents delivered +47% to +99% returns across semiconductor, software, and small-cap sectors.
• New 15-minute and 5-minute AI models were added under upgraded Financial Learning Models (FLMs).

Artificial intelligence trading systems continued to show measurable activity across US equity and ETF markets during a period of heightened macroeconomic sensitivity around Federal Reserve policy expectations. Retail investors increasingly rely on automated strategies to navigate volatility in technology, semiconductor, and index-linked ETFs. The latest results highlight how AI-driven systems adapt across multiple timeframes to capture rapid price movements.

Swing Trading Performance in Index ETFs

Tickeron completed the comprehensive report "Wall Street's Bargain Bin: 10 AI-Screened Stocks Where the Price Crashed but the Business Didn't"—typically priced at $200. For a limited time, users can access it for free: link:

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Market Access and Limited-Time Discount Program

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The promotion includes up to 75% off daily buy/sell signals, analytics pages, portfolios, articles, and video tools. Pricing is reduced from $240/year to $60/year ($5/month), representing a 70% savings. Advanced AI Robots, Signal Agents, and Virtual Agents are available at $540/year ($45/month), while multi-timeframe unlimited signal systems are priced at $1,500/year ($125/month).

Leveraged ETF AI Trading Results

AI agent performance across leveraged ETFs showed diversified sector exposure. SOXL semiconductor strategy gained +90.11%, AMUU (AMD 2x) rose +67.30%, and GOOX (GOOGL 2x) increased +77.21%. Technology-focused DLLL recorded +99.08%, while URTY small-cap leveraged ETF delivered +47.92%. These results reflect intraday 15-minute and short-horizon 60-minute models operating under volatile conditions.

FLMs and AI Infrastructure Expansion

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Tickeron expanded its Financial Learning Models (FLMs), improving responsiveness to rapid market shifts and enhancing technical pattern recognition during volatility. The newest AI agents now operate on 15-minute and 5-minute intervals, allowing faster adaptation to intraday price action.

View Trending AI Robots (https://tickeron.com/bot-trading/trending-robots/)

Sergey Savastiouk, Ph.D., CEO of Tickeron, stated: "Financial Learning Models integrate technical analysis with adaptive AI systems to improve interpretation of volatility and support decision-making in fast-moving markets."

Quote

"Adaptive short-term AI models are increasingly used to capture intraday volatility with greater precision."

About the Company

Tickeron is a financial technology company developing AI-driven trading tools, automated market strategies, and analytics systems. Its Financial Learning Models combine machine learning with technical analysis to support trading decisions in equities and ETFs.

Contact

For more information, visit https://tickeron.com