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Aug 21, 2024

Tickeron Unveils AI Trading Bots with "Search for Dips" Feature

SUNNYVALE, Calif., Aug. 14, 2024 /PRNewswire/ -- Tickeron, Inc., a leader in AI-driven stock trading bots, introduces an advanced line of Virtual Accounts. These Virtual Accounts leverage Tickeron's proprietary Financial Learning Models (FLMs) with state-of-the-art Technical Analysis (TA) designed specifically for search of stock price drops called "dips".

Key Features

Two standout models are at the core of Tickeron's new bots (robots). Identifying and acting on price drops ("search for dips") and leveraging significant volatility spikes.

Volatility: The robots are designed to manage and capitalize on market volatility, providing strategies that adapt to fluctuating conditions to maximize returns while minimizing risks.

Search for Dips: These robots employ sophisticated algorithms to identify and capitalize on significant pullbacks in stock prices, positioning trades to benefit from potential market corrections. This "search for dips" approach ensures optimal entry points.

Average Holding Period: The average holding period for trades is carefully calculated to balance risk and return, allowing for strategic exits that align with the market's behavior.

Trade Execution: Trades should be executed several minutes before market close, leveraging the mean-reversal behavior of the market to optimize entry points and enhance potential gains.

Stop Loss: A dynamic trailing stop mechanism is utilized to protect gains and minimize potential losses, adapting to sudden market shifts and ensuring flexibility in trade management.

Win Rate: The robust algorithms employed by these robots are designed to analyze market trends and patterns, contributing to a high win rate by making informed and strategic trading decisions.

Drawdowns: The robots maintain a low number of open positions to ensure controlled exposure and concentrated focus, enhancing risk management and allowing for effective responses to market changes.

Tickeron's platform equips traders with essential tools to achieve their financial goals, especially in high-liquidity stocks. Sergey Savastiouk, Ph.D., CEO of Tickeron, highlighted Financial Learning Models (FLMs), which use machine learning to identify financial patterns.

About Tickeron
Tickeron provides AI-driven tools tailored to assist traders at all experience levels. Central to its offerings are the Financial Learning Models (FLMs), which deliver detailed insights into market trends, trading strategies, and investment options, customizing the content to align with individual learning styles and knowledge levels. By utilizing real-time data and predictive analytics, they simulate market scenarios, aiding users in understanding financial markets and improving their trading decisions. View our Legal Information before investing.

Related Ticker: SPY, QQQ, DIA

SPY in +0.58% Uptrend, rising for three consecutive days on August 28, 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 SPY advanced for three days, in of 363 cases, the price rose further within the following month. The odds of a continued upward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on August 12, 2025. You may want to consider a long position or call options on SPY as a result. In of 69 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 442 cases where SPY 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 SPY moved out of overbought territory on July 31, 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 43 similar instances where the indicator moved out of overbought territory. In of the 43 cases, the stock moved lower in the following days. This puts the odds of a move lower at .

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 3 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

The Moving Average Convergence Divergence Histogram (MACD) for SPY turned negative on August 19, 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 53 similar instances when the indicator turned negative. In of the 53 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 SPY declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

Notable companies

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

Industry description

The investment seeks to provide investment results that, before expenses, correspond generally to the price and yield performance of the S&P 500® Index. The trust seeks to achieve its investment objective by holding a portfolio of the common stocks that are included in the index, with the weight of each stock in the portfolio substantially corresponding to the weight of such stock in the index.

Market Cap

The average market capitalization across the SPDR® S&P 500® ETF ETF is 133.31B. The market cap for tickers in the group ranges from 4.88B to 4.24T. NVDA holds the highest valuation in this group at 4.24T. The lowest valued company is FMC at 4.88B.

High and low price notable news

The average weekly price growth across all stocks in the SPDR® S&P 500® ETF ETF was -0%. For the same ETF, the average monthly price growth was 2%, and the average quarterly price growth was 9%. WYNN experienced the highest price growth at 11%, while KDP experienced the biggest fall at -17%.

Volume

The average weekly volume growth across all stocks in the SPDR® S&P 500® ETF ETF was -0%. For the same stocks of the ETF, the average monthly volume growth was -4% and the average quarterly volume growth was -30%

Fundamental Analysis Ratings

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

Valuation Rating: 59
P/E Growth Rating: 50
Price Growth Rating: 44
SMR Rating: 50
Profit Risk Rating: 49
Seasonality Score: -25 (-100 ... +100)
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These past five trading days, the ETF lost 0.00% with an average daily volume of 0 shares traded.The ETF tracked a drawdown of 0% for this period.
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