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Sergey Savastiouk's Avatar
published in Blogs
Aug 26, 2024

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

QQQ sees MACD Histogram crosses below signal line

QQQ saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on November 18, 2024. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 48 instances where the indicator turned negative. In of the 48 cases the stock moved lower in the days that followed. This puts the odds of a downward move at .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The 10-day RSI Indicator for QQQ moved out of overbought territory on November 12, 2024. 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 48 similar instances where the indicator moved out of overbought territory. In of the 48 cases, the stock moved lower in the following days. This puts the odds of a move lower at .

The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 66 cases where QQQ's Stochastic Oscillator exited the overbought zone, the price fell further within 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 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 .

QQQ broke above its upper Bollinger Band on November 06, 2024. 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.

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on November 06, 2024. You may want to consider a long position or call options on QQQ as a result. In of 77 past instances where the momentum indicator moved above 0, the stock continued to climb. 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 389 cases, the price rose further within the following month. The odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 418 cases where QQQ Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Notable companies

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

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 ETF is 259.39B. The market cap for tickers in the group ranges from 13.95B to 3.58T. NVDA holds the highest valuation in this group at 3.58T. The lowest valued company is DLTR at 13.95B.

High and low price notable news

The average weekly price growth across all stocks in the Invesco QQQ Trust ETF was -2%. For the same ETF, the average monthly price growth was 2%, and the average quarterly price growth was 11%. DDOG experienced the highest price growth at 8%, while MRNA experienced the biggest fall at -14%.

Volume

The average weekly volume growth across all stocks in the Invesco QQQ Trust ETF was -9%. For the same stocks of the ETF, the average monthly volume growth was 16% and the average quarterly volume growth was -41%

Fundamental Analysis Ratings

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

Valuation Rating: 65
P/E Growth Rating: 59
Price Growth Rating: 43
SMR Rating: 48
Profit Risk Rating: 39
Seasonality Score: 29 (-100 ... +100)
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