New York, NY – October 3, 2025 – Tickeron, a pioneer in AI-driven trading solutions, today announced outstanding performance results from its AI Trading Agent focused on three high-potential tickers: XAR, ITA, and SOXL. Leveraging advanced Financial Learning Models (FLMs) and machine learning on a 15-minute timeframe, the agent achieved an annualized return of +76%, generating $4,581 in closed trades profit over 28 days. This breakthrough underscores Tickeron’s commitment to making sophisticated trading accessible to beginners and experts alike through innovative AI technology.
XAR, ITA, SOXL – Trading Results AI Trading Agent (3 Tickers),…
Impressive Trading Results and Overview
The AI Trading Agent, designed for intraday precision, has demonstrated exceptional results in a volatile market environment. Over the 28-day period, it executed 45 closed trades with a remarkable 93.33% win rate, including 42 profitable trades out of 45. The average trade profit stood at $117.67, while average losses were contained at $90.60, yielding a profit factor of 18.18. With an average trade duration of just 1 day and a Sharpe Ratio of 0.00, the strategy emphasizes balanced risk management, capping maximum open positions at 11 to prevent overexposure.
XAR, the SPDR S&P Aerospace & Defense ETF, tracks the S&P Aerospace & Defense Select Industry Index, providing exposure to leading U.S. aerospace and defense companies. ITA, the iShares U.S. Aerospace & Defense ETF, follows the Dow Jones U.S. Select Aerospace & Defense Index, featuring giants like Boeing, Lockheed Martin, and Raytheon Technologies—ideal for capitalizing on aviation and military tech growth. SOXL offers 3X leveraged exposure to the ICE Semiconductor Index, targeting the top 30 U.S.-listed semiconductor firms through swaps and ETFs, making it a high-reward option in the tech sector.
This agent simplifies trading these tickers by combining intraday (15-minute) and daily timeframes, ensuring user-friendly experiences for novices while delivering robust performance.
Strategic Features and Technical Basis
At the core of the AI Trading Agent are Tickeron’s proprietary Financial Learning Models (FLMs), which integrate artificial intelligence and machine learning with technical analysis. These models process real-time data to identify bullish and bearish patterns, filtering out noise for accurate signals. Entry points are detected on the 15-minute chart via high-frequency pattern recognition, while exits are confirmed on daily charts for swing trading optimization.
Machine learning enhances pattern detection, adapting to market shifts for better execution. Automated risk controls limit open positions to six, with a medium volatility profile and a profit-to-drawdown ratio of 13.35. The agent’s universe diversification score is low, focusing on sector-specific opportunities in aerospace, defense, and semiconductors to hedge against downturns. Absolute drawdown was $343.22, with maximal per-trade drawdown at $377.08, reflecting disciplined management.
In optimal medium-volatility conditions—like those seen in current markets—the agent excels, with maximum consecutive wins reaching 19 trades ($1,606.02 profit) and minimal consecutive losses at just 1 ($169.84). Long positions dominated at 45 trades (93.33% win rate), with no short positions, aligning with bullish trends in these sectors.
Enhanced Performance Statistics
Diving deeper, the AI Trading Agent boasts an annualized return of 72.45% (adjusted for full-year projection), average trade P/L of $101.79, and a largest single profit of $334.62 against a largest loss of $169.84. Profitable trades accounted for 93.33% of total activity, with loss trades at only 6.67%. Average consecutive wins hit 11, while losses averaged just 1, showcasing consistency. These metrics highlight the agent’s edge in high-liquidity environments, reducing emotional decision-making and optimizing entry/exit points through AI-driven foresight.
For context, backtests and forward testing on shorter ML timeframes (now including 15 and 5 minutes) have shown improved responsiveness, with FLMs analyzing price, volume, sentiment, and macro data for tailored strategies.
Current Market Context and Opportunities
Amid today’s positive market momentum, where the S&P 500 and Nasdaq are teasing record highs despite a government shutdown entering its third day, Tickeron’s AI agents are perfectly positioned. Rate-cut hopes from the Federal Reserve are driving optimism, with Wall Street indexes set to open higher and U.S. stocks cruising toward a record-setting week. Bond yields are climbing as cautionary notes from Fed officials like Goolsbee emerge, yet stock bulls remain enthusiastic, pushing rallies into ‘manic’ zones. Chip stocks, relevant to SOXL, are rising, while aerospace and defense sectors benefit from ongoing global tensions.
This environment amplifies the agent’s +76% annualized return, as its FLMs adapt dynamically to intraday shifts, offering traders an edge in capturing these upward movements. Visit Tickeron.com for more on how these tools thrive in such conditions.
Tickeron Robots and Agents: Revolutionizing AI Trading
Tickeron’s suite of AI Robots and Agents empowers users across skill levels with automated, intelligent trading. From bot trading at https://tickeron.com/bot-trading/ to copy trading via https://tickeron.com/copy-trading/, these tools leverage FLMs for precise strategies. Explore AI stock trading options at https://tickeron.com/ai-stock-trading/ and dive into AI Agents at https://tickeron.com/ai-agents/.
For comprehensive access, check virtual agents at https://tickeron.com/bot-trading/virtualagents/all/, signal agents at https://tickeron.com/bot-trading/signals/all/, and real-money agents at https://tickeron.com/bot-trading/realmoney/all/. Follow updates on Twitter at https://x.com/Tickeron.
Tickeron’s AI Agents represent a leap forward, now operating on 15-minute and 5-minute ML timeframes for faster signals. These agents, akin to virtual trading assistants, use FLMs to analyze vast data sets—much like LLMs process text—delivering adaptive strategies for assets like XAR, ITA, and SOXL. Ideal for retail traders, they reduce risks and enhance confidence in dynamic markets.
Tickeron Products: Empowering Investors with AI Tools
Tickeron offers a robust lineup of AI-powered products to elevate trading and investing. The AI Trend Prediction Engine at https://tickeron.com/stock-tpe/ forecasts market movements with precision. Discover patterns via the AI Patterns Search Engine at https://tickeron.com/stock-pattern-screener/ and real-time scans at https://tickeron.com/stock-pattern-scanner/.
Screen stocks intelligently with the AI Screener at https://tickeron.com/screener/, featuring the Time Machine for historical simulations at https://tickeron.com/time-machine/. Access Daily Buy/Sell Signals at https://tickeron.com/buy-sell-signals/ for actionable insights across tickers.
These products, integrated with FLMs and Machine Learning Models (MLMs), provide real-time analytics, pattern recognition, and predictive tools, democratizing institutional-grade tech for all users.
Fall Sale: Exclusive Discounts on Subscriptions
Don’t miss the last days of Tickeron’s Fall Sale, with up to 50% off annual subscriptions. For Daily Buy/Sell Signals, enjoy an exclusive 70% discount—now just $60/year ($5/month) instead of $200/year, including signals, analytical pages, articles, videos, and portfolios.
AI Robots (Signal, Virtual, Brokerage Agents on 60-minute ML) are $540/year ($45/month) down from $1,000/year—save 50%. For unlimited access (60min, 15min, 5min), it’s $1,500/year ($125/month) from $3,000/year—also 50% off.
About Tickeron
Tickeron is a financial technology company specializing in AI-driven trading and investing tools. Powered by proprietary Financial Learning Models (FLMs), Tickeron delivers real-time data analysis, pattern recognition, and predictive analytics for individual and institutional investors. This latest advancement in shorter ML timeframes (15 and 5 minutes) enhances adaptability, as validated by backtests showing superior trade timing.
“Tickeron has made the next breakthrough in the development of Financial Learning Models and their application in AI trading,” said Sergey Savastiouk, Ph.D., CEO of Tickeron. “By accelerating our machine learning cycles, we’re offering a new level of precision.”
For more information, visit www.tickeron.com.