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| ![]() AI Trading Robots Beat the Market Hitting 131% Annualized Return for Retail Investors (AVGO, LITE)Tickeron reports 131.86% annualized return in a 364-day AI Trading Agent result covering Broadcom (AVGO) and Lumentum (LITE).
By: Tickeron Announcement Summary Tickeron has reported a 131.86% annualized return over 364 days for an AI Trading Agent strategy trading AVGO and LITE with $50,000 allocated to each trade.
The reported results are based on the strategy's actual performance data for the stated period. The figures include a $50,000 amount for each trade and should not be interpreted as a projection of future performance. Tickeron's underlying approach combines algorithmic market analysis with Financial Learning Models (FLMs), designed to process financial information and identify trading patterns systematically. The reported AVGO and LITE results show 70.16% profitable trades, a profit factor of 2.10, and an absolute drawdown of $16,188.48. Individual ticker statistics also varied. The reported one-year total P/L was 41.04% for AVGO and 101.2% for LITE. The strategy recorded an average trade duration of two days, while its average trade P/L was $1,004.01. A separate Tickeron AI Trading Agent result covering NVDA and USAR reported a 154.69% annualized return over 362 days, with $153,663.89 in total net profit and a 2.68 profit factor. These results represent a different ticker combination and trading period. 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. Its platform includes tools for AI Trading Robots, market screening, signals, and systematic trading research. Tickeron AI Trading Robots (https://tickeron.com/ TICKERON SALE Tickeron is currently offering discounts of up to 50% on selected services:
Additional information is available through Tickeron's AVGO page (https://tickeron.com/ 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 a broader shift toward AI-assisted financial research, where FLMs and automated systems can help structure complex market analysis and trading workflows. Tickeron's platform provides access to its broader AI-powered market analysis capabilities at Tickeron (https://tickeron.com/? End
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