Tickeron, a leader in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing annualized returns as high as +84% across various stocks and portfolios. Powered by advanced machine learning models analyzing tick-level brokerage data on 5-, 15-, and 60-minute timeframes, these agents provide real-time trading signals with precise trade amounts, empowering traders to navigate volatile markets with unprecedented accuracy and efficiency.
https://tickeron.com/bot-trading/realmoney/all
Revolutionizing Trading with Financial Learning Models (FLMs)
Tickeron’s Financial Learning Models (FLMs) integrate artificial intelligence with technical analysis to detect market patterns and generate actionable insights. By processing vast amounts of tick-level data in real time, FLMs enable AI Trading Agents to deliver signals optimized for short-term and medium-term strategies. This approach not only enhances decision-making but also offers transparency and control, making it accessible for both novice and experienced traders. Beginner-friendly robots focus on high-liquidity stocks, ensuring reliable performance in fast-paced environments.
Sergey Savastiouk, Ph.D., CEO of Tickeron, emphasizes the importance of technical analysis in managing market volatility. Through Financial Learning Models (FLMs), Tickeron integrates AI with technical analysis, allowing traders to spot patterns more accurately and make better-informed decisions. Beginner-friendly robots and high-liquidity stock robots offered by Tickeron provide traders with real-time insights, enhancing control and transparency in fast-moving markets.
https://tickeron.com/bot-trading/realmoney/all
Outstanding Performance Across Diverse Assets
The AI Trading Agents have demonstrated exceptional results in live simulations starting with an initial balance of $100,000 and trade amounts of $10,000 (unless specified otherwise). Key highlights include:
These results underscore the power of Tickeron’s machine learning algorithms, which continuously learn from brokerage data to refine signals and adapt to market shifts.
https://tickeron.com/bot-trading/realmoney/all
Features Enhancing Trader Empowerment
Tickeron’s platform includes user-centric tools such as notifications for open and closed trades, pending orders, and customizable email alerts. Traders can follow specific agents, view detailed stats, and access descriptions of strategies. The integration of real-time tick-level data ensures signals are not only accurate but also executable with defined trade amounts, reducing guesswork and emotional biases.
https://tickeron.com/bot-trading/realmoney/all
Future Outlook and Accessibility
As markets evolve, Tickeron plans to expand its AI Trading Agents to additional timeframes and asset classes, further democratizing advanced trading tools. Traders can explore these agents through the Tickeron platform, with options to simulate trades or integrate with brokerage accounts for live execution.
About Tickeron: Tickeron is a pioneering fintech company specializing in AI-powered trading solutions. By combining machine learning with financial expertise, Tickeron helps traders achieve superior results through innovative tools like Financial Learning Models (FLMs) and real-time signals.
For more information, visit www.tickeron.com
On August 26, 2025, the Stochastic Oscillator for KKR moved out of oversold territory and this could be a bullish sign for the stock. Traders may want to buy the stock or buy call options. Tickeron's A.I.dvisor looked at 56 instances where the indicator left the oversold zone. In of the 56 cases the stock moved higher in the following days. This puts the odds of a move higher at over .
The 50-day moving average for KKR moved above the 200-day moving average on August 08, 2025. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where KKR advanced for three days, in of 363 cases, the price rose further within the following month. The odds of a continued upward trend are .
The 10-day RSI Indicator for KKR moved out of overbought territory on July 30, 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 32 similar instances where the indicator moved out of overbought territory. In of the 32 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Momentum Indicator moved below the 0 level on August 05, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on KKR as a result. In of 85 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for KKR turned negative on July 31, 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 43 similar instances when the indicator turned negative. In of the 43 cases the stock turned lower in the days that followed. This puts the odds of success at .
KKR moved below its 50-day moving average on August 28, 2025 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for KKR crossed bearishly below the 50-day moving average on August 28, 2025. This indicates that the trend has shifted lower and could be considered a sell signal. In of 10 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where KKR declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The Aroon Indicator for KKR entered a downward trend on September 02, 2025. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to outstanding 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.
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 72, placing this stock better than average.
The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating fairly steady price growth. KKR’s price grows at a lower 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 weak sales and an unprofitable 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 Valuation Rating of (best 1 - 100 worst) indicates that the company is significantly overvalued 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 (4.840) is normal, around the industry mean (7.000). P/E Ratio (65.797) is within average values for comparable stocks, (40.712). Projected Growth (PEG Ratio) (0.788) is also within normal values, averaging (2.463). Dividend Yield (0.005) settles around the average of (0.075) among similar stocks. P/S Ratio (8.313) is also within normal values, averaging (13.358).
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
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