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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's RSI Oscillator ascends from oversold territory

The RSI Oscillator for SPY moved out of oversold territory on August 06, 2024. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 24 similar instances when the indicator left oversold territory. In of the 24 cases the stock moved higher. This puts the odds of a move higher at .

Price Prediction Chart
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Notable companies

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

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 SPDR® S&P 500® ETF Trust ETF is 114.27B. The market cap for tickers in the group ranges from 6.51B to 3.15T. MSFT holds the highest valuation in this group at 3.15T. The lowest valued company is BC at 6.51B.

High and low price notable news

The average weekly price growth across all stocks in the SPDR® S&P 500® ETF Trust ETF was 22%. For the same ETF, the average monthly price growth was 40%, and the average quarterly price growth was 57%. BBY experienced the highest price growth at 14%, while DG experienced the biggest fall at -33%.

Volume

The average weekly volume growth across all stocks in the SPDR® S&P 500® ETF Trust ETF was -8%. For the same stocks of the ETF, the average monthly volume growth was -18% and the average quarterly volume growth was -32%

Fundamental Analysis Ratings

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

Valuation Rating: 61
P/E Growth Rating: 50
Price Growth Rating: 41
SMR Rating: 50
Profit Risk Rating: 43
Seasonality Score: -38 (-100 ... +100)
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