This statistic shows the stock price development of selected defense companies from January 2, 2020 to April 15, 2024. After the Russian invasion of Ukraine in February 2022, many countries' military spending increased. Defense companies all around the world highly benefited from inclined military spending, and saw significant increases in their share prices.

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.

Dow Jones U.S. Select Aerospace & Defense Index: Soaring to New Heights or Facing Turbulence?

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

The main stock market index in Russia (MOEX) increased 264 points or 9.16% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on March of 2025.

The main stock market index in Germany (DE40) increased 2823 points or 14.18% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on March of 2025.

The Report Covers Synthetic Aperture Radar (SAR) Market Share and it is segmented by Application (Military and Defense, Monitoring and Exploration) and Geography. The market size and forecasts are provided in terms of value (USD million) for all the above segments.

指数：费城证券交易所：国防在10-01-2018达695.43020Jul2001=150，相较于09-01-2018的695.43020Jul2001=150保持不变。指数：费城证券交易所：国防数据按月更新，07-01-2001至10-01-2018期间平均值为361.72020Jul2001=150，共208份观测结果。该数据的历史最高值出现于11-01-2014，达701.44020Jul2001=150，而历史最低值则出现于02-01-2003，为136.34020Jul2001=150。CEIC提供的指数：费城证券交易所：国防数据处于定期更新的状态，数据来源于Philadelphia Stock Exchange，数据归类于全球数据库的美国 – 表 US.Z014：费城证券交易所：指数。

指数：SSE：工业：航天和国防在09-01-2018达3,158.56030Jun2011=1000，相较于08-01-2018的2,993.77030Jun2011=1000有所增长。指数：SSE：工业：航天和国防数据按月更新，01-01-2000至09-01-2018期间平均值为893.83030Jun2011=1000，共225份观测结果。该数据的历史最高值出现于05-01-2017，达3,166.03030Jun2011=1000，而历史最低值则出现于03-01-2009，为356.34030Jun2011=1000。CEIC提供的指数：SSE：工业：航天和国防数据处于定期更新的状态，数据来源于Stockholmsbörsen，数据归类于Global Database的瑞典 – 表 SE.Z001：OMX 斯德哥尔摩证券交易所：指数。

The global optical waveguide market size was worth USD 6.5 Bn in 2022 and is predicted to grow to USD 11.6 Bn by 2030 with a CAGR of 7.5%.