MENU
Go to the list of all blogs
Niko Sharks's Avatar
published in Blogs
Apr 30, 2019
Major U.S. airlines hit by ticketing outage

Major U.S. airlines hit by ticketing outage

System-wide ticketing shutdowns hit major US airlines earlier this week, but everything appears to be back on track now.

The problem arose mainly over airlines’ online system of printing tickets and making reservations. But a source close to the matter confirmed that the problem has now been addressed and online booking and printing are back to normal.

Some of the airlines affected by the outage include American Airlines (AAL), Alaska Air (ALK), WestJet (WJAFF), and JetBlue (JBLU).

Both American Airlines and Alaska Air expressed regret on Twitter and also confirmed that the technical issue has been solved in the fastest amount of time possible, with no major impact on flights.

Related Ticker: AAL

AAL's RSI Indicator remains in oversold zone for 1 day

It is expected that a price bounce should occur soon.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 3 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where AAL advanced for three days, in of 284 cases, the price rose further within the following month. The odds of a continued upward trend are .

AAL may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on February 19, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on AAL as a result. In of 82 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 AAL turned negative on February 19, 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 47 similar instances when the indicator turned negative. In of the 47 cases the stock turned lower in the days that followed. This puts the odds of success at .

AAL moved below its 50-day moving average on February 11, 2026 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for AAL crossed bearishly below the 50-day moving average on January 29, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 17 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over 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 AAL declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

The Aroon Indicator for AAL entered a downward trend on February 27, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to outstanding earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating fairly steady price growth. AAL’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly overvalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: AAL's P/B Ratio (0.000) is slightly lower than the industry average of (2.627). P/E Ratio (65.765) is within average values for comparable stocks, (39.688). Projected Growth (PEG Ratio) (0.087) is also within normal values, averaging (2.072). AAL's Dividend Yield (0.000) is considerably lower than the industry average of (0.034). AAL's P/S Ratio (0.135) is slightly lower than the industry average of (0.616).

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating that the returns do not compensate for the risks. AAL’s unstable profits reported over time resulted in significant Drawdowns within these last five years. A stable profit reduces stock drawdown and volatility. The average Profit vs. Risk Rating rating for the industry is 78, placing this stock worse than average.

Notable companies

The most notable companies in this group are Delta Air Lines (NYSE:DAL), United Airlines Holdings (NASDAQ:UAL), Southwest Airlines Co (NYSE:LUV), 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 34.68B. The market cap for tickers in the group ranges from 9.36K to 1.51T. AZULD holds the highest valuation in this group at 1.51T. 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 -10%. For the same Industry, the average monthly price growth was -8%, and the average quarterly price growth was 28%. FLYX experienced the highest price growth at 19%, while FLYYQ experienced the biggest fall at -53%.

Volume

The average weekly volume growth across all stocks in the Airlines Industry was 16%. For the same stocks of the Industry, the average monthly volume growth was -97% and the average quarterly volume growth was -97%

Fundamental Analysis Ratings

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

Valuation Rating: 56
P/E Growth Rating: 58
Price Growth Rating: 59
SMR Rating: 69
Profit Risk Rating: 77
Seasonality Score: -24 (-100 ... +100)
View a ticker or compare two or three
AAL
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
These past five trading days, the stock lost 0.00% with an average daily volume of 0 shares traded.The stock tracked a drawdown of 0% for this period. AAL showed earnings on January 27, 2026. You can read more about the earnings report here.
A.I. Advisor
published General Information

General Information

a provider of air transportation services for passengers and cargo

Industry Airlines

Profile
Fundamentals
Details
Industry
Airlines
Address
1 Skyview Drive
Phone
+1 682 278-9000
Employees
132100
Web
https://www.aa.com
Interact to see
Advertisement
Tickeron, a leader in AI-driven financial tools, today announced exceptional results from its AI Trading Agents, showcasing annualized returns ranging from 102% to 210% across various high-liquidity stocks and strategies.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking performance from its suite of AI Trading Agents. Powered by Financial Learning Models (FLMs), these agents have demonstrated exceptional returns, with top performers achieving annualized gains of up to 83% over periods ranging from 127 to 390 days.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today unveils its Top 10 Day Traders: AI Trading Robots, showcasing exceptional performance in volatile markets. Powered by advanced Financial Learning Models (FLMs), these robots integrate AI with technical analysis to deliver real-time insights for day traders.
#artificial_intelligence
Tickeron, a leader in AI-driven financial solutions, announces groundbreaking performance results for its Crypto AI Trading Robots, achieving annualized returns of up to 85% for ETH.X, 56% for OM.X, and 49% for XRP.X in 2025, powered by advanced Financial Learning Models (FLMs).
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing annualized returns as high as +84% across various stocks and portfolios.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These innovative brokerage agents provide real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing exceptional performance in real-time trading signals powered by machine learning. Utilizing tick-level brokerage data and precise trade amounts, these agents operate on 5-, 15-, and 60-minute timeframes to provide traders with actionable insights in volatile markets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These cutting-edge brokerage agents deliver real-time trading signals powered by machine learning, leveraging tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes. Designed to empower traders with superior insights, the agents have demonstrated exceptional performance, including annualized returns as high as 82%.
#artificial_intelligence
The financial markets have undergone a profound transformation in recent years, driven by the integration of artificial intelligence (AI) into trading strategies. As a financial analyst, writer, and AI specialist, one observes that AI trading agents represent a pinnacle of this evolution, blending machine learning algorithms with real-time data analysis to execute trades with unprecedented precision.
#artificial_intelligence
AI trading represents a revolutionary shift in how financial markets operate, combining artificial intelligence, machine learning, and sophisticated algorithmic trading strategies to execute trades with unprecedented precision and speed.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced exceptional trading results from its AI Trading Agent focused on Hubbell Incorporated (HUBB). The agent, operating on a 5-minute timeframe, delivered a +105% annualized return, starting from an initial balance of $100,000.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents, delivering real-time trading signals and sophisticated money management for retail and institutional traders. Powered by Financial Learning Models (FLMs) and machine learning, these agents operate across 5-, 15-, and 60-minute timeframes, achieving annualized returns of up to 145% on select portfolios.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the exceptional performance of its AI Trading Agents, achieving annualized returns of up to 162%, profitable trade percentages as high as 90.51%, and a robust profit factor across multiple assets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, proudly announces the exceptional performance of its AI Trading Agents, delivering annualized returns of up to 188% on a 5-minute timeframe.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced the launch of its advanced Pattern Search Engine (PSE), a revolutionary platform that scans 39 distinct trading patterns across stocks, penny stocks, ETFs, crypto, and forex.
#artificial_intelligence
AI trading bots represent the pinnacle of financial technology innovation, transforming how traders and investors interact with global markets.
#artificial_intelligence
As a financial analyst, writer, and AI specialist, I've always pushed for innovations that merge artificial intelligence with actionable trading tools. In the fast-paced world of modern markets, where volatility demands quick decisions, Tickeron's new "My Trades Aggregator (from AI Robots Followed)" aggregator stands out as a revolutionary feature.
#artificial_intelligence#trading
Tickeron, a leading provider of AI-driven trading solutions, is thrilled to announce the exceptional performance of its AI Trading Agents, delivering outstanding results across multiple high-profile stocks.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technologies, today announced groundbreaking results from its AI Crypto Trading Virtual Agents. These innovative tools provide real-time trading signals, integrated money management, and customizable balances, all powered by advanced machine learning algorithms operating on 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technologies, today announced the launch of its advanced AI Trading Brokerage Agents. These cutting-edge tools deliver real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence