Tickeron introduce new type of AI Robots for traders who are focusing on earnings season as well of those who trading in this period.
Advantages of this strategy:
Market neutrality - The AI Robot opens both short and long positions, which allows it not to depend on the current market situation.
Easy to follow - this robot trades only during the earnings season and has simple rules for making trades.
Short trade duration - The average trade duration is 2 days, which allows our users to use their capital effectively and not get stuck in one trade for a long time.
Every day, our mathematical algorithms look for companies having a quarterly report shortly and conduct a comprehensive analysis on them. If the AI makes a positive forecast, then the day before the report is released, the robot opens a long position. If the forecast is negative, then a short position is opened. Both types of trades are closed at the end of the report release day.
Important notice: The Earnings day is very often accompanied by an increase in volatility. Therefore, it's not recommended to allocate more than 5% of one’s capital to one trade.
The robot's trading results are shown without using a margin. For a full trading statistics and equity chart, click on the "show more" button on the robot page. In the tab “Open Trades”, a user can see live how the AI Robot selects equities, enters, and exits in paper trades. In the tab, “Closed trades”, a user can review all previous trades made by the AI Robot.
The Moving Average Convergence Divergence (MACD) for UAL turned positive on August 15, 2024. Looking at past instances where UAL's MACD turned positive, the stock continued to rise in of 47 cases over the following month. The odds of a continued upward trend are .
Show more
Notable companies
The most notable companies in this group are Delta Air Lines (NYSE:DAL), Southwest Airlines Co (NYSE:LUV), United Airlines Holdings (NASDAQ:UAL), American Airlines Group (NASDAQ:AAL), JetBlue Airways Corp (NASDAQ:JBLU).
Industry description
Airlines industry comprises passenger air transportation, including scheduled and non-scheduled routes. This can include charter airlines, as well as regular commuter ones. Discount pricing and the rise of low-cost carriers over recent decades have expanded the industry by making its services accessible to a much larger global population, compared to the older days when airline travel was a relative luxury for many people in the world. Delta Air Lines Inc., Southwest Airlines Co and United Continental Holdings, Inc. are some of the airlines with the largest stock market capitalizations in the U.S.
Market Cap
The average market capitalization across the Airlines Industry is 5.54B. The market cap for tickers in the group ranges from 9.36K to 29.16B. DAL holds the highest valuation in this group at 29.16B. The lowest valued company is KLMR at 9.36K.
High and low price notable news
The average weekly price growth across all stocks in the Airlines Industry was 3%. For the same Industry, the average monthly price growth was 4%, and the average quarterly price growth was -11%. SRFM experienced the highest price growth at 63%, while NWARF experienced the biggest fall at -17%.
Volume
The average weekly volume growth across all stocks in the Airlines Industry was -9%. For the same stocks of the Industry, the average monthly volume growth was -10% and the average quarterly volume growth was 19%
Fundamental Analysis Ratings
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
The latest insights from the AI trading robots, specifically those accessible through "Swing Trader, Popular Stocks: Short Bias Strategy (TA&FA)," have proven to be noteworthy. One standout performer in their portfolio is DLTR, which boasted a commendable +5.60% gain over the previous week. DLTR has been on an impressive uptrend, recording gains for three consecutive days as of December 04, 2023. In the realm of technical analysis, a three-day upward movement is often perceived as a bullish signal.
The Tickeron quant team is delighted to introduce our best robot of the week tailored for Trend Traders. Our sophisticated AI Robot, has been designed for manual trading enthusiasts who value independent signal selection.
In the dynamic world of stock trading, the utilization of AI trading robots has become increasingly prevalent. One such example is the "Trend Trader, Popular Stocks: Price Action Trading Strategy (TA&FA)," which showcased its prowess by yielding a remarkable +4.98% gain while trading ZIM over the previous week. As we delve into the intricacies of ZIM's recent performance, let's analyze the earnings results, market indicators, and industry trends that shape the narrative.
In the ever-evolving landscape of financial markets, artificial intelligence (AI) trading bots have emerged as powerful tools, providing investors with automated strategies to navigate the complexities of stock trading. In this analysis, we delve into the recent performance of AI trading robots, specifically those accessible through "Trend Trader, Popular Stocks: Price Action Trading Strategy (TA&FA)," which demonstrated a remarkable +4.67% gain while trading MRVL over the previous week.
The Tickeron quant team proudly presents our top-performing AI robot for swing traders. This robot stands out with its remarkable accuracy, empowering traders to capitalize on diverse market conditions and transaction types. Demonstrating its proficiency, it achieved profitability in short trades during last week's strong uptrend in the US stock markets.
The use of artificial intelligence (AI) in trading has become increasingly prevalent, with bots proving their mettle in the dynamic world of stocks. In this analysis, we delve into the recent performance of AI trading robots, specifically those accessible through "Swing Trader: High Volatility Stocks for Active Trading (TA&FA)." One noteworthy achievement is the impressive +4.65% gain generated by these bots while trading AMD over the course of the previous week.
One such example is the "Trend Trader: Popular Stocks (TA&FA)" platform, where AI trading robots demonstrated their prowess by generating a notable gain while actively trading Adobe Inc. (ADBE) over the previous week. In this article, we delve into a technical analysis of ADBE's recent performance, shedding light on key indicators and recent earnings results.
These sophisticated algorithms leverage data analytics and machine learning to execute trades with speed and precision, aiming to capitalize on market fluctuations and volatility. In a recent demonstration of their prowess, the Swing Trader: Top High-Volatility Stocks v.2 (TA) platform showcased remarkable performance, yielding a notable +4.50% gain while trading XLK over the previous week.
This is particularly evident in the recent performance of bots accessible via "Day Trader: High Volatility Stocks for Active Trading (TA&FA)." These bots, often likened to efficient bot factories, have demonstrated remarkable proficiency, yielding a notable +4.08% gain while actively trading LRCX over the past week.
One notable example comes from "Swing Trader: Stocks from Financial Sector (TA&FA)," where these AI trading robots have proven their mettle, securing a commendable +4,07% gain while trading WABC over the past week. This achievement underscores the potential of AI-driven strategies in navigating the complexities of the financial markets.
The 'metabolic' category within the biotechnology industry has been witnessing remarkable growth, particularly in companies focused on developing drugs for gastrointestinal and metabolism disorders.
The portable device sector, encompassing companies involved in the production and sale of portable devices, witnessed a notable performance surge of +8.63% over the past week. This surge was led by prominent players including Apple (AAPL), CEVA, and Generac Holdings (GNRC). Despite this recent uptick, however, the sector currently faces a negative outlook, as indicated by various technical indicators and market sentiment analyses.
The Pulp & Paper industry, encompassing companies involved in the production of pulp, paper, and specialty paper products, has witnessed an impressive average stock gain of 11.68% over the last week.
In the whirlwind of the current mergers and acquisitions frenzy, investors are reaping substantial rewards as stocks within the merger industry theme surged by an impressive 20.9% on average over the past month.
The Tickeron quant team proudly introduces our premier AI Robot, tailor-made for trend traders who prefer manual trading and selecting their own signals. This AI Robot stands out with its impressive track record of consistent trading predictions, empowering traders to align their decisions with personal preferences.
Tickeron is excited to highlight the exceptional performance of our top AI robot this week, given the recent downturn in major US stock indices. While the SP500, NASDAQ 100, and Dow Jones Industrial all experienced declines, our AI robot, thanks to its well-calibrated diversification across various industries, demonstrated remarkable resilience.
Tickeron's quant team diligently monitors developed trading algorithms daily to determine the most effective ones. Today, we are delighted to present three of the best robots tailored for swing traders, showcasing consistently positive results over several months, irrespective of market conditions. This week, they underscored their efficacy by yielding impressive gains across various stocks, even as major US stock indexes dipped.
Tickeron is excited to highlight the exceptional performance of our top AI robot this week. The US stock market has experienced a consistent upward trend for the past five months, heightening the anticipation of a forthcoming correction with each passing day.
Introducing our top-performing best AI Robot of the week, designed by Tickeron's expert quant team for trading small-cap stocks. This algorithm blends classical and proprietary technical indicators, honed through advanced machine learning, to empower users with effective portfolio diversification and maximum profitability in the dynamic market.