LONDON - TelAve -- AI infrastructure stocks remain an active area for systematic traders, with CRWV and NBIS providing the focus for Tickeron's 60-minute AI Trading Agent. The strategy applies AI-driven analysis and automated trading to the two-stock universe, illustrating how algorithmic systems can evaluate price behavior and manage positions using predefined models.

Tickeron has launched an AI Trading Robot focused on CRWV and NBIS, reporting $267,871.55 in closed-trade net profit during the 358-day period from September 4, 2025, through September 3, 2026.

Announcement Summary

Key reported results from the AI Infrastructure (CRWV, NBIS) Trading Agent include:

• 198 closed trades, with 161 profitable trades, or 81.31%.
• Annualized return of 286.00% for the reported period.
• Profit factor of 2.94 and SharpeR of 1.31.
• Absolute drawdown of $24,596.11.
• Maximum of four simultaneous open trades.

The strategy used an amount of $50,000 for each trade and reported an average trade duration of one day. Average trade P/L was $1,352.89. The system recorded an average of eight consecutive wins and two consecutive losses.

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Ticker-level statistics also showed different performance patterns. CRWV recorded a 77.78% win rate and 91.1% total P/L, while NBIS recorded an 86.75% win rate and 181.61% total P/L. More information on the individual equities is available through Tickeron's CRWV analysis page and NBIS analysis page.

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 for systematic market research, signal generation, and AI-assisted trading workflows available through Tickeron's trading platform (https://tickeron.com/bot-trading/?via=serhii-bo...).

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Tickeron is also offering discounts of up to 50%: Daily Buy/Sell Signals — $5/month (50% OFF), AI Trading Robots — $45/month (50% OFF), and AI Robots Unlimited — $125/month (50% OFF).

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.

The development reflects Tickeron's broader use of Financial Learning Models to combine AI-powered research with systematic trading technology, while reported historical results remain distinct from future market outcomes.