Dataset

This dataset was created by Tuan Nguyen Van Anh

Contents

This statistic shows the stock price development of selected companies in the airline industry from January 6, 2020 to February 3, 2025. Due to implications of national lockdowns and travel restrictions, stock values of airlines dropped significantly in March 2020. Since then, stock prices started to increase again, and slightly recovering to pre-pandemic levels.

International Airlines Group stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

MetaData

PIA Stock Price Data (2008-2024)

Dataset Description

This dataset contains historical stock price data for PIA from 2008 to 2024. This data is extracted by using Python's yfinance library and it provides detailed insights into PIA's stock performance over the years. It includes daily values for the stock's opening and closing prices, adjusted close price, high and low prices, and trading volume. This dataset is ideal for time series analysis, stock trend analysis, and financial machine learning projects such as price prediction models and volatility analysis.

The dataset is extracted from Yahoo Finance

Column Descriptions

Date: The trading date for each entry, in the format.

Adj_Close: Adjusted closing price of PIA stock for each trading day, reflecting stock splits, dividends, and other adjustments.

Close: The raw closing price of PIA stock at the end of each trading day.

High: The highest price reached by PIA stock during the trading day.

Low: The lowest price reached by PIA stock during the trading day.

Open: The price of PIA stock at the start of the trading day.

Volume: The total number of shares traded during the trading day.

Alaska Air stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Turkish Airlines stock prices were reached via the request method in Python from the Yahoo Finance website.

Japan Airlines stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Stock Price Time Series for Southwest Airlines Company. Southwest Airlines Co. operates as a passenger airline company that provides scheduled air transportation services in the United States and near-international markets. As of December 31, 2024, the company operated a total fleet of 803 Boeing 737 aircraft; and served 117 destinations in 42 states, the District of Columbia, and the Commonwealth of Puerto Rico, as well as ten near-international countries, including Mexico, Jamaica, the Bahamas, Aruba, the Dominican Republic, Costa Rica, Belize, Cuba, the Cayman Islands, and Turks and Caicos. It also provides inflight entertainment and connectivity services; and Rapid Rewards loyalty program that enables program members to earn points for dollars spent on Southwest base fares. In addition, the company offers a suite of digital platforms to support customers' travel needs, including websites and apps; and SWABIZ, an online booking tool. Further, it provides ancillary services, such as Southwest's EarlyBird Check-In, upgraded boarding, and transportation of pets and unaccompanied minors. Southwest Airlines Co. was incorporated in 1967 and is headquartered in Dallas, Texas.

Stock Price Time Series for American Airlines Group. American Airlines Group Inc., through its subsidiaries, operates as a network air carrier in the United States, Latin America, Atlantic, and Pacific. The company provides scheduled air transportation services for passengers and cargo through its hubs in Charlotte, Chicago, Dallas/Fort Worth, Los Angeles, Miami, New York, Philadelphia, Phoenix, and Washington, D.C., as well as through partner gateways in London, Doha, Madrid, Seattle/Tacoma, Sydney, and Tokyo. It also operates a mainline fleet of 977 aircraft. The company was formerly known as AMR Corporation and changed its name to American Airlines Group Inc. in December 2013. American Airlines Group Inc. was founded in 1926 and is headquartered in Fort Worth, Texas.

About Turkish Airlines

Turk Hava Yollari Anonim Ortakligi provides air transport and aircraft technical maintenance services in Turkey and internationally. The company offers domestic and international passenger and cargo air transportation services; and repair and maintenance, and technical and infrastructure support services related to the aviation sector, as well as provides catering and aviation ground handling services. It is also involved in training, airport operation, and investment activities; the manufacture and trading of cabin interior accessories and aircraft seats; and the trading of aviation fuel. The company was incorporated in 1933 and is headquartered in Istanbul, Turkey.

About this dataset

This dataset is gathered from Yahoo Finance. Link is given below. https://finance.yahoo.com/quote/THYAO.IS/profile?p=THYAO.IS

Stock Price Time Series for Bangkok Airways Public Company Limited. Bangkok Airways Public Company Limited, together with its subsidiaries, provides air transportation and airport services. It operates through Airline, Airport, and Supporting Airline Business segments. The Airline segment engages in the sale of tickets, as well as the provision of services for passengers. The Airport segment offers location services for passengers and airlines. The Supporting Airline Business segment provides ground handling, cargo, and catering services for airlines and customers. The company offers aviation training, and REIT and other management services; airport management services; operates restaurants; distributes souvenirs; and produces and processes food for distribution. The company was founded in 1968 and is headquartered in Bangkok, Thailand.

Turkish Airlines stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Stock Price Time Series for China Express Airlines Co Ltd Class A. China Express Airlines Co.,LTD engages in the air passenger and cargo transportation business in China. The company operates through operation bases located in Guiyang, Chongqing, Dalian, Hohhot, Xi'an, and Korla with approximately 140 routes, including 139 domestic routes and 1 international route to approximately 104 destinations. It also engages in training and education of flight personnel, maintenance personnel, flight attendants, and other personnel related to aviation; manufacturing of railway, ship, aerospace, and other transportation equipment; multimodal transport and freight forwarding; research and development, production, and sale of aircraft repair; trading; retail and wholesale; and leasing businesses. In addition, the company provides software and information technology; and business services. China Express Airlines Co.,LTD was founded in 2006 and is based in Chongqing, China.

Sale-Or-Purchase-of-Stock Time Series for International Consolidated Airlines Group S.A. International Consolidated Airlines Group S.A., together with its subsidiaries, engages in the provision of passenger and cargo transportation services in the North Atlantic, Latin America, the Caribbean, Europe, Africa, the Middle East, South Asia, the Asia Pacific, and internationally. It operates through British Airways, Iberia, Vueling, Aer Lingus, and IAG Loyalty segments. The company manufactures, repairs, maintains, overhauls, retrofits, repurposes, upgrades aircraft, and aircraft parts and equipment. It also offers pushback tugs, equipment for baggage and freight handling, vehicles for aircraft marshalling, equipment for passenger boarding, de-icing equipment, and equipment for catering. In addition, the company provides airline operations, insurance, aircraft leasing, aircraft maintenance, tour operation, air freight operations, call center, ground handling, trustee, retail, IT, finance, flight procurement, storage and custody, aircraft technical assistance, human resources support, and airport infrastructure development services; and manages airline loyalty reward currency. The company was incorporated in 2009 and is headquartered in Harmondsworth, the United Kingdom.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

American Airlines, Soaring Skies? (AAL)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Delta Air Lines was the most valuable airline in the world as of April 2025, with a market value of **** billion U.S. dollars. Ryanair Holdings ranked second, with **** billion dollars worth of market value. Market valuation The market value of a company typically refers to the market capitalization of a publicly traded firm, and is calculated by multiplying the number of shares by the current share price. A company’s market value also serves as an indicator of its business prospects. Other factors such as profitability, debt load, and metrics like earnings before tax, depreciation, and amortization (EBITDA) are also considered when assessing a company's overall value.
Delta and Southwest: southern roots, global reach Southwest Airlines is the world’s largest low-cost carrier and the fourth-leading domestic carrier in the United States, operating from its headquarters at Dallas Love Field. Another powerhouse rooted in the American South is Delta Air Lines, one of the largest airlines in the world in terms of passengers carried. With its headquarters at the world’s busiest airport, Hartsfield-Jackson Atlanta International Airport, the airline is a member of the SkyTeam airline alliance.

Hawaiian stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Stock Price Time Series for PROS Holdings Inc. PROS Holdings, Inc. provides software solutions that optimize the processes of selling and shopping in the digital economy in Europe, the Asia Pacific, the Middle East, Africa, and internationally. The company offers PROS Platform, designs to help businesses create, optimize and market available offers and handle orders; PROS Smart Configure Price Quote that improves sales productivity and accelerate deal velocity, and support diverse selling scenarios; and PROS Smart Price Optimization and Management, which enables businesses to optimize, personalize, and harmonize pricing. It also provides PROS Airline Revenue Management solution that delivers algorithmic forecasting and network optimization; PROS Airline Real-Time Dynamic Pricing, which offers accurate booking class availability and seat prices; PROS Dynamic Ancillary Pricing, an AI-based reinforcement learning algorithm; PROS Airline Group Sales Optimizer that enables airlines and its travel agent partners to create and manage group bookings, contracts, policies, and payments; and PROS Corporate Sales, a solution that enables airlines to create commercial agreements with corporate customers. The company provides PROS Digital Retail, a configurable end-to-end solution for airlines to optimize the traveler experience from inspiration to post-trip; PROS Dynamic Offers; and PROS Digital Offer Marketing solutions comprising airTRFX, airModules, airWire, and airSEM platforms. It provides software-related services, such as implementation, configuration, consulting, training, maintenance, and support services. The company markets and sells its solutions to customers in various industries, including automotive and industrial manufacturing and distribution, transportation, logistics, chemicals, energy, food and consumables, healthcare, insurance, technology, and travel through its direct sales force, partners, resellers, and systems integrators. The company was incorporated in 1985 and is headquartered in Houston, Texas.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

United Airlines (UAL) Stock Price Prediction Update

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.