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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.

Contact:
Sergey Savastiouk
[email protected]

SOURCE Tickeron, Inc.

Related Ticker: SPY, QQQ, DIA

SPY in upward trend: price may ascend as a result of having broken its lower Bollinger Band on June 10, 2026

SPY may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In of 37 cases where SPY's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SPY advanced for three days, in of 368 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 434 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 June 03, 2026. 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 47 similar instances where the indicator moved out of overbought territory. In of the 47 cases, the stock moved lower in the following days. This puts the odds of a move lower at .

The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.

The Momentum Indicator moved below the 0 level on June 05, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SPY as a result. In of 73 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 SPY turned negative on May 18, 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 52 similar instances when the indicator turned negative. In of the 52 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), Alphabet (NASDAQ:GOOG), Alphabet (NASDAQ:GOOGL), Apple (NASDAQ:AAPL), Microsoft Corp (NASDAQ:MSFT), Amazon.com (NASDAQ:AMZN), Broadcom Inc. (NASDAQ:AVGO), Meta Platforms (NASDAQ:META), Tesla (NASDAQ:TSLA), Micron Technology (NASDAQ:MU).

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 (the “Portfolio”), 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 State Street® SPDR® S&P 500® ETF ETF is 158.05B. The market cap for tickers in the group ranges from 4.44B to 5.02T. NVDA holds the highest valuation in this group at 5.02T. The lowest valued company is MKTX at 4.44B.

High and low price notable news

The average weekly price growth across all stocks in the State Street® SPDR® S&P 500® ETF ETF was 45%. For the same ETF, the average monthly price growth was 75%, and the average quarterly price growth was 294%. WDC experienced the highest price growth at 32%, while SMCI experienced the biggest fall at -28%.

Volume

The average weekly volume growth across all stocks in the State Street® SPDR® S&P 500® ETF ETF was -15%. For the same stocks of the ETF, the average monthly volume growth was -9% and the average quarterly volume growth was -10%

Fundamental Analysis Ratings

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

Valuation Rating: 51
P/E Growth Rating: 51
Price Growth Rating: 41
SMR Rating: 50
Profit Risk Rating: 58
Seasonality Score: 25 (-100 ... +100)
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