NEW YORK - TelAve -- Artificial intelligence, semiconductors, and strategic materials remain closely watched areas for systematic traders. Tickeron's Semi & Materials / Mining 60-minute AI Trading Agent focuses on NVIDIA (NVDA) and USA Rare Earth (USAR), combining AI-driven analysis with rule-based trade execution.

Over the 356-day period from September 2, 2025, through September 1, 2026, the strategy recorded a 158.20% annualized return. The results provide a current example of how algorithmic systems can evaluate opportunities across companies operating in distinct but technology-linked market segments.

Announcement Summary

Tickeron has released performance data for its NVDA-USAR AI Trading Agent, highlighting its systematic approach to AI-powered market analysis and trading automation.

• Total net profit: $152,331.03
• Closed trades: 108, with 68 profitable trades (62.96%)
• Annualized return: 158.20%
• Profit factor: 2.67
• Absolute drawdown: $17,091.15

The agent operated with an amount of $50,000 per trade and a maximum of four open trades. Closed-trade profit totaled $153,548.73, while open positions showed a loss of $1,217.70 at the reporting point. Average trade duration was four days, with an average trade P/L of $1,421.75.

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Investors researching systematic strategies can review Tickeron's AI Trading Robots, where AI agents are organized by strategy, timeframe, asset class, and other criteria.

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. These models underpin tools designed to process market information and generate structured trading signals.

The company is also offering discounts of up to 50% across selected services: Daily Buy/Sell Signals — $5/month (50% OFF); AI Trading Robots (https://tickeron.com/bot-stock-trading?via=serh...) — $45/month (50% OFF); and AI Robots Unlimited — $125/month (50% OFF).

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The Future of Financial Research

Tickeron is extending its FLM framework beyond automated trading toward faster AI-assisted financial research through Ask AI and its broader AI platform (https://tickeron.com/?via=serhii-bondarenko&...).

"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.

Historical performance reflects the reported period and does not guarantee future results. Trading involves risk.