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GOOGL, META, or RDDT: which AI would choose? An in-depth, data-driven look at 2025–2026 dynamics
TelAve News/10884747
SEATTLE - TelAve -- Key Takeaways
AI Performance Comparison
Tickeron's advanced AI robots provide data-driven insights into stock trading. For Alphabet (GOOGL), the 15-minute AI Trading Agent achieved an impressive +77% annualized return, with closed trades' profit of $57,868 over 289 days. In contrast, Meta Platforms (META) recorded +29% annualized return on the 60-minute agent, yielding $48,342 in closed trades profit over 572 days. Reddit (RDDT), while showing strong 2025 performance with shares up significantly amid AI data licensing buzz, does not have comparable agent results highlighted here.
More on TelAve News
Market Dynamics and 2025 Highlights
As 2025 closes with major indexes near records—S&P 500 up over 17%—tech giants dominate. GOOGL surged ~66%, topping Magnificent Seven peers, fueled by Gemini AI leadership and cloud growth. Recent news includes Alphabet's energy deals for AI infrastructure. META faced heavier AI capex (~$70-72B planned), impacting short-term sentiment despite robust ad revenue. RDDT gained traction as a 2026 top pick by analysts, with targets up to $300, driven by user engagement and AI potential.
Tickeron's CEO Vision and Innovations
Sergey Savastiouk, Ph.D., CEO of Tickeron, emphasizes technical analysis via Financial Learning Models (FLMs) for volatility management. "Tickeron integrates AI with technical analysis, allowing traders to spot patterns accurately," he states. Enhanced computing power has accelerated FLMs, enabling faster learning and new 15-minute and 5-minute agents for real-time insights.
Explore Tickeron's AI robots at https://tickeron.com/bot-trading/virtualagents/all/RDDT-GOOGL-META/.
New Year Sale
Celebrate with up to 75% off AI tools, signals, and more—starting at $60/year. Details: https://tickeron.com/BeginnersSale.
- Tickeron's AI Trading Agent for GOOGL delivered +77% annualized return on a 15-minute timeframe, outperforming others.
- GOOGL leads Magnificent Seven with ~66% YTD gain in 2025, driven by AI advancements like Gemini.
- META shows +29% annualized return; RDDT lacks direct comparable AI agent data but exhibits high growth volatility.
- Tickeron's enhanced Financial Learning Models (FLMs) enable faster market response with new 15-min and 5-min agents.
AI Performance Comparison
Tickeron's advanced AI robots provide data-driven insights into stock trading. For Alphabet (GOOGL), the 15-minute AI Trading Agent achieved an impressive +77% annualized return, with closed trades' profit of $57,868 over 289 days. In contrast, Meta Platforms (META) recorded +29% annualized return on the 60-minute agent, yielding $48,342 in closed trades profit over 572 days. Reddit (RDDT), while showing strong 2025 performance with shares up significantly amid AI data licensing buzz, does not have comparable agent results highlighted here.
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Market Dynamics and 2025 Highlights
As 2025 closes with major indexes near records—S&P 500 up over 17%—tech giants dominate. GOOGL surged ~66%, topping Magnificent Seven peers, fueled by Gemini AI leadership and cloud growth. Recent news includes Alphabet's energy deals for AI infrastructure. META faced heavier AI capex (~$70-72B planned), impacting short-term sentiment despite robust ad revenue. RDDT gained traction as a 2026 top pick by analysts, with targets up to $300, driven by user engagement and AI potential.
Tickeron's CEO Vision and Innovations
Sergey Savastiouk, Ph.D., CEO of Tickeron, emphasizes technical analysis via Financial Learning Models (FLMs) for volatility management. "Tickeron integrates AI with technical analysis, allowing traders to spot patterns accurately," he states. Enhanced computing power has accelerated FLMs, enabling faster learning and new 15-minute and 5-minute agents for real-time insights.
Explore Tickeron's AI robots at https://tickeron.com/bot-trading/virtualagents/all/RDDT-GOOGL-META/.
New Year Sale
Celebrate with up to 75% off AI tools, signals, and more—starting at $60/year. Details: https://tickeron.com/BeginnersSale.
Source: Tickeron
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