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Aug 26, 2024
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Tickeron Launches AI Bots for High-Volatility Stocks

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.

 Disclaimers and Limitations

Related Ticker: QQQ

Contributor

Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.


QQQ in upward trend: price may ascend as a result of having broken its lower Bollinger Band on October 30, 2026

QQQ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In 39 of 39 cases where QQQ's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where QQQ's RSI Indicator exited the oversold zone, 20 of 26 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 77%.

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 48 of 56 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 86%.

Following a +1.88% 3-day Advance, the price is estimated to grow further. Considering data from situations where QQQ advanced for three days, in 310 of 365 cases, the price rose further within the following month. The odds of a continued upward trend are 85%.

The Aroon Indicator entered an Uptrend today. In 315 of 352 cases where QQQ Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 89%.

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on October 14, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on QQQ as a result. In 69 of 84 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 82%.

The Moving Average Convergence Divergence Histogram (MACD) for QQQ turned negative on October 13, 2026. 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 46 similar instances when the indicator turned negative. In 36 of the 46 cases the stock turned lower in the days that followed. This puts the odds of success at 78%.

QQQ moved below its 50-day moving average on October 29, 2026 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for QQQ crossed bearishly below the 50-day moving average on October 23, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 13 of 15 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 87%.

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 50 of 62 cases within the following month. The odds of a continued downward trend are 81%.

Notable companies

The most notable companies in this group are Apple (NASDAQ:AAPL), NVIDIA Corp (NASDAQ:NVDA), Microsoft Corp (NASDAQ:MSFT), Alphabet (NASDAQ:GOOGL), Alphabet (NASDAQ:GOOG), Amazon.com (NASDAQ:AMZN), Tesla (NASDAQ:TSLA), Meta Platforms (NASDAQ:META), Broadcom Inc. (NASDAQ:AVGO), Walmart (NASDAQ:WMT).

Industry description

The investment seeks investment results that generally correspond to the price and yield performance of the NASDAQ-100 Index®. To maintain the correspondence between the composition and weights of the securities in the trust (the "securities") and the stocks in the NASDAQ-100 Index®, the adviser adjusts the securities from time to time to conform to periodic changes in the identity and/or relative weights of index securities. The composition and weighting of the securities portion of a portfolio deposit are also adjusted to conform to changes in the index.

Market Cap

The average market capitalization across the Invesco QQQ Trust Series I (QQQ) ETF is 399.97B. The market cap for tickers in the group ranges from 21.14B to 4.94T. AAPL holds the highest valuation in this group at 4.94T. The lowest valued company is ALNY at 21.14B.

High and low price notable news

The average weekly price growth across all stocks in the Invesco QQQ Trust Series I (QQQ) ETF was 19%. For the same ETF, the average monthly price growth was 35%, and the average quarterly price growth was 520%. REGN experienced the highest price growth at 15%, while ALNY experienced the biggest fall at -26%.

Volume

The average weekly volume growth across all stocks in the Invesco QQQ Trust Series I (QQQ) ETF was 119%. For the same stocks of the ETF, the average monthly volume growth was 78% and the average quarterly volume growth was -9%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 73
P/E Growth Rating: 54
Price Growth Rating: 45
SMR Rating: 47
Profit Risk Rating: 60
Seasonality Score: 9 (-100 ... +100)
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Address
300 West Roosevelt RoadWheaton
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Web
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Tickeron Launches AI Bots for High-Volatility Stocks