NEW YORK - s4story -- AI-driven market analysis and systematic trading are increasingly being applied to large-cap technology and financial stocks. Tickeron's latest trading results cover JPM, BAC, NVDA, GOOG, AVGO, META and AMD through an AI Trading Agent using a 60-minute approach.

Announcement Summary

Tickeron has reported historical performance data from an AI Trading Agent covering seven widely followed technology and financial tickers.

• 119-day reporting period from September 24, 2025 to September 23, 2026
• $24,460.85 in closed-trade net profit based on $20,000 per trade
• 70 closed trades, including 46 profitable trades
• 95.65% reported annualized return
• 3.09 profit factor and 1.20 Sharpe ratio

The reported results provide a historical view of how algorithmic trading systems can be applied across a diversified group of major stocks. The data also shows an absolute drawdown of $6,687.55, highlighting the importance of a risk-aware approach when evaluating systematic strategies.

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Tickeron's technology combines AI-driven financial analysis with algorithmic trading tools designed to process market information and identify trading opportunities. Its Financial Learning Models (FLMs) are used as part of the platform's broader AI infrastructure.

Tickeron has recently expanded its computing infrastructure and increased the capabilities of its Financial Learning Models (FLMs) to support more sophisticated AI analysis and trading automation.

The company's current offer includes discounts of up to 50% on selected services: Daily Buy/Sell Signals — $5/month (50% OFF); AI Trading Robots — $45/month (50% OFF); AI Robots Unlimited — $125/month (50% OFF).

Additional information on the tracked securities and market tools is available through Tickeron's pages for AMD, NVDA, and JPM.

The Future of Financial Research

"Ask AI represents a major milestone in the evolution of our Financial Learning Models. We're transforming hours of financial research into a single click, giving investors instant answers powered by AI," said Sergey Savastiouk, Ph.D., CEO and Founder of Tickeron.

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Tickeron's AI-powered tools are designed to combine financial data processing, machine learning and systematic trading workflows. More information about Tickeron's AI Trading Robots and Financial Learning Models is available on the company's platform.