AI Trading Agents Achieve 162% Returns with 90% Win Rate
Tickeron, a leading innovator in AI-driven financial technology, today announced the exceptional performance of its AI Trading Agents, achieving annualized returns of up to 162%, profitable trade percentages as high as 90.51%, and a robust profit factor across multiple assets. Powered by advanced Financial Learning Models (FLMs), these agents provide real-time trading signals with tick-level brokerage data, enabling both novice and expert traders to capitalize on market opportunities with unprecedented precision.
Unmatched Trading Performance Across Diverse Assets
Tickeron’s AI Trading Agents have demonstrated remarkable results across three key assets: Kinross Gold (KGC), Direxion Daily Semiconductor Bull 3X ETF (SOXL), and Hubbell Incorporated (HUBB). These agents leverage machine learning on 5-, 15-, and 60-minute timeframes to deliver consistent profitability and risk management.
- KGC Trading Results (15-Minute Timeframe): The AI Trading Agent for KGC achieved an annualized return of 162%, generating a closed trades profit/loss (P/L) of $19,627 from an initial balance of $100,000. With each trade fixed at $10,000, the agent recorded 82 profitable trades, representing 81.19% of total trades over 66 days.
- SOXL Trading Results (15-Minute Timeframe): For SOXL, the agent delivered a 148% annualized return with a closed trades P/L of $18,460 from a $100,000 initial balance. It executed 60 profitable trades, accounting for 67.42% of total trades over 69 days.
- HUBB Trading Results (5-Minute Timeframe): The HUBB agent achieved a 105% annualized return, with a closed trades P/L of $12,505 from a $100,000 initial balance. It recorded 66 profitable trades, an impressive 90.51% of total trades over 61 days.
These results highlight the power of Tickeron’s AI-driven approach, which combines real-time analytics with adaptive strategies to maximize returns while minimizing risk.
Cutting-Edge Financial Learning Models (FLMs)
At the core of Tickeron’s success are its proprietary Financial Learning Models (FLMs), which integrate artificial intelligence and machine learning with technical market analysis. According to Sergey Savastiouk, Ph.D., CEO of Tickeron, “Our FLMs empower traders to navigate volatile markets with confidence by identifying high-probability trade setups in real time. This technology reduces emotional decision-making and optimizes entry and exit points, delivering superior performance.”
The FLMs analyze tick-level brokerage data across multiple timeframes to detect bullish and bearish patterns, providing actionable insights for traders. By filtering market noise and validating price trends, these models ensure precise trade signals, making them suitable for both beginners and seasoned investors.
View all AI Agents: AI Trading for Stock Market | Tickeron
Strategic Features for Optimal Trading
Tickeron’s AI Trading Agents are designed with a suite of advanced features to enhance trading efficiency and profitability:
- Pattern Recognition: Entry signals are generated on 5-minute (M5) or 15-minute (M15) charts, leveraging high-frequency pattern analysis for rapid trade execution.
- FLM-Based Trend Filtering: Machine learning validates price trends, reducing false signals and improving trade accuracy.
- Smart Swing Trading: The agents employ a swing trading strategy, holding positions to capture larger market moves, with exit signals confirmed on daily timeframes.
- Automated Risk Management: Trade activity is capped at six open positions, supported by real-time monitoring to mitigate risk and enhance stability.
- ML-Powered Optimization: Continuous learning algorithms refine trade execution, ensuring adaptability to changing market conditions.
These features make Tickeron’s agents ideal for traders seeking a balance between high returns and controlled risk, with a medium profit-to-drawdown ratio and suitability for medium-volatility markets.
Tailored Solutions for All Traders
Tickeron’s AI Trading Agents are designed to cater to both novice and experienced traders. For beginners, the platform offers a user-friendly interface that simplifies complex technical analysis, enabling confident decision-making. For advanced traders, high-liquidity robots provide sophisticated strategies to capitalize on fast-moving markets. The agents’ low universe diversification score focuses on specific assets, reducing sector-specific risks while enhancing profit opportunities.
The KGC agent, for instance, is tailored to Kinross Gold’s unique market dynamics, leveraging the company’s strong fundamentals as a leading gold producer. Similarly, the SOXL agent capitalizes on the volatility of the semiconductor sector, while the HUBB agent targets the stable growth of the electrical components industry.
View all AI Agents: AI Trading for Stock Market | Tickeron
Empowering Wealth Creation with AI
Tickeron’s AI Trading Agents represent a paradigm shift in wealth creation, offering traders real-time insights, automated risk management, and adaptive strategies. By combining cutting-edge AI with robust technical analysis, Tickeron empowers users to achieve consistent profitability in dynamic markets.
For more information about Tickeron’s AI Trading Agents and Financial Learning Models, visit https://tickeron.com. To explore subscription plans and API services, visit https://x.ai/api.
Tickeron is a financial technology company specializing in AI-driven trading solutions. Its proprietary Financial Learning Models (FLMs) combine machine learning and technical analysis to deliver real-time trading signals, empowering traders with actionable insights. Headquartered in Los Angeles, Tickeron is committed to revolutionizing wealth creation through innovative technology.
View all AI Agents: AI Trading for Stock Market | Tickeron
KGC in +3.09% Uptrend, rising for three consecutive days on September 29, 2025
Moving higher for three straight days is viewed as a bullish sign. Keep an eye on this stock for future growth. Considering data from situations where KGC advanced for three days, in of 310 cases, the price rose further within the following month. The odds of a continued upward trend are .
Technical Analysis (Indicators)
Bullish Trend Analysis
The Aroon Indicator entered an Uptrend today. In of 263 cases where KGC Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
Bearish Trend Analysis
The 10-day RSI Indicator for KGC moved out of overbought territory on September 24, 2025. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 29 similar instances where the indicator moved out of overbought territory. In of the 29 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.
The Moving Average Convergence Divergence Histogram (MACD) for KGC turned negative on September 24, 2025. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 55 similar instances when the indicator turned negative. In of the 55 cases the stock turned lower in the days that followed. This puts the odds of success at .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where KGC declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
KGC broke above its upper Bollinger Band on September 22, 2025. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 83, placing this stock better than average.
The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly undervalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (4.010) is normal, around the industry mean (19.478). P/E Ratio (20.040) is within average values for comparable stocks, (57.302). KGC's Projected Growth (PEG Ratio) (0.000) is slightly lower than the industry average of (3.483). Dividend Yield (0.005) settles around the average of (0.019) among similar stocks. P/S Ratio (5.051) is also within normal values, averaging (147.382).
The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. KGC’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron Seasonality Score of (best 1 - 100 worst) indicates that the company is fair valued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to slightly better than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
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a company, which engages in gold mining and explorations
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