SUNNYVALE, Calif., Aug. 21, 2024 /PRNewswire/ -- Tickeron, Inc., a leader in AI-driven stock trading technology, has unveiled a new suite of advanced trading bots designed specifically for day traders. These cutting-edge robots leverage Tickeron's proprietary Financial Learning Models (FLMs) and advanced technical analysis to enhance trading strategies in high-liquidity and high-volatility markets.
Tickeron's new bots are engineered to capitalize on price surges of 5% or more, allowing traders to maximize profit opportunities during periods of significant market volatility. The FLMs analyze historical and real-time data to accurately predict stock performance, continuously updating to provide traders with the latest insights and a strategic edge.
Key Features:
High Volatility: These bots are optimized to take advantage of significant market volatility, allowing traders to profit from rapid price movements.
Price Action: Utilizing detailed price action analysis, the bots execute trades with precision, ensuring timely market entries and exits.
Average Holding Period: Ideal for day traders, positions are typically held for just one day, focusing on short-term gains.
Trade Execution: Trades are initiated at market open, leveraging early-day volatility to capture initial market movements.
Stop Loss: A dynamic stop-loss feature is set within a 2-10% range per trade, safeguarding against substantial losses and protecting capital.
Win Rate: With a high win rate, these bots offer a reliable strategy for successful trading, boosting trader confidence.
Sergey Savastiouk, Ph.D., CEO of Tickeron, highlighted the critical role of technical analysis in volatile stock markets. "Technical analysis enables traders to make informed decisions and mitigate the impact of market volatility. By training our Financial Learning Models (FLMs) with advanced technical analysis, Tickeron provides traders with AI-powered tools that help them achieve their financial goals, especially in high-liquidity environments."
About Tickeron:
Tickeron offers AI-driven tools designed to support traders at all experience levels. The company's Financial Learning Models (FLMs) use machine learning to deliver tailored insights into market trends, trading strategies, and investment options. By incorporating real-time data and predictive analytics, Tickeron helps users better understand financial markets and make more informed trading decisions.
QQQ's Aroon Indicator triggered a bullish signal on December 26, 2024. Tickeron's A.I.dvisor detected that the AroonUp green line is above 70 while the AroonDown red line is below 30. When the up indicator moves above 70 and the down indicator remains below 30, it is a sign that the stock could be setting up for a bullish move. Traders may want to buy the stock or look to buy calls options. A.I.dvisor looked at 407 similar instances where the Aroon Indicator showed a similar pattern. In of the 407 cases, the stock moved higher in the days that followed. This puts the odds of a move higher at .
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 47 cases where QQQ's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where QQQ advanced for three days, in of 387 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Momentum Indicator moved below the 0 level on January 07, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on QQQ as a result. In of 80 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent 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 QQQ 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 average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeGrowth