FRESNO, Calif. - Jan. 5, 2026 - PRLog --
Key Takeaways
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Tickeron’s AI Trading Agents delivered average annualized returns of 135% across leveraged ETFs including GGLL, SOXL, and DELL in 2025.
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The GGLL AI Agent (15-minute) led performance with a 213% annualized return, generating $45,039 in closed trades P/L over 117 days.
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The SOXL AI Agent (5-minute) produced 123% annualized returns over 306 days with $96,515 in P/L, while a corridor TP/SL strategy added an additional 10% over 352 days.
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The DELL AI Agent (5-minute) posted 75% annualized returns, delivering $59,434 in closed trades P/L over 303 days.
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Despite elevated valuations and a 16% gain in the S&P 500, Tickeron’s AI strategies outperformed ETF benchmarks such as GGLL’s 136% YTD rise and SOXL’s 56% annual gain.
AI Innovation Driving Performance in Volatile Markets
Tickeron, a leader in AI-powered trading technology, continued to advance its AI Trading Agents to capture outsized returns in leveraged ETFs and high-liquidity stocks. In 2025, GGLL (Direxion Daily GOOGL Bull 2X Shares) surged 136% year to date during a powerful technology rally, while SOXL (Direxion Daily Semiconductor Bull 3X Shares) gained 56% despite experiencing deep drawdowns earlier in the year.
Meanwhile, Dell Technologies (DELL) ended the year near $125.88, supported by 8% revenue growth to $95.6 billion. Tickeron’s AI agents capitalized on volatility across these instruments, using precise timing and adaptive strategies to outperform both buy-and-hold and traditional trading approaches.
Faster Learning and Smarter Execution with Enhanced FLMs
To support these results, Tickeron expanded its computing infrastructure, enabling Financial Learning Models (FLMs) to process data faster and adapt more quickly to changing market conditions. These upgrades made it possible to deploy new 15-minute and 5-minute AI Agents, designed specifically for fast-moving, high-volatility environments.
Trading with Tickeron’s AI Robots provides users with real-time insights, transparent decision logic, and disciplined risk management—features that are particularly valuable when trading leveraged ETFs.
The CEO’s Perspective on AI-Driven Trading
Sergey Savastiouk, Ph.D., CEO of Tickeron, highlights the importance of combining artificial intelligence with technical analysis to manage market volatility effectively. By integrating Financial Learning Models with proven analytical frameworks, Tickeron enables traders to identify patterns more accurately and make better-informed decisions. From beginner-friendly bots to advanced strategies for high-liquidity instruments, Tickeron’s AI tools are built to deliver clarity and control in dynamic markets.
Market Backdrop and Trading Into 2026
On January 5, 2026, markets reacted to major geopolitical developments, including U.S. actions in Venezuela and the capture of President Nicolás Maduro. Equity futures edged higher, with Nasdaq futures up 0.5%, while gold prices rallied, oil slipped, and Asian equities surged, led by a 3% gain in Japan’s Nikkei.
Amid geopolitical uncertainty and Federal Reserve warnings about elevated asset valuations, Tickeron’s AI Trading Agents continue to help traders navigate complexity, capitalize on volatility, and adapt quickly as markets transition into the new year.
Explore all AI Trading Bots at https://tickeron.com/bot-trading/virtualagents/x2-x3-long.... New Year Sale: Up to 75% off on AI Robots, Signals, and Tools at https://tickeron.com/BeginnersSale from $60/yr for signals to $1,500/yr for unlimited agents.