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.

Will the KOSPI Index Rise Again?

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

South Korea's main stock market index, the KOSPI, rose to 3254 points on July 30, 2025, gaining 0.74% from the previous session. Over the past month, the index has climbed 5.95% and is up 18.85% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from South Korea. South Korea Stock Market - values, historical data, forecasts and news - updated on July of 2025.

South Korea Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI 50 data was reported at 2,318.730 NA in Apr 2025. This records an increase from the previous number of 2,304.720 NA for Mar 2025. South Korea Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI 50 data is updated monthly, averaging 1,902.000 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 3,056.060 NA in Jun 2021 and a record low of 1,426.790 NA in Aug 2015. South Korea Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI 50 data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s South Korea – Table KR.EDI.SE: Korea Stock Exchange: Monthly.

Korea Index: KOSPI 100 Index data was reported at 2,056.230 04Jan2000=1000 in Nov 2018. This records an increase from the previous number of 2,010.670 04Jan2000=1000 for Oct 2018. Korea Index: KOSPI 100 Index data is updated monthly, averaging 1,589.240 04Jan2000=1000 from Mar 1999 (Median) to Nov 2018, with 237 observations. The data reached an all-time high of 2,549.200 04Jan2000=1000 in Oct 2017 and a record low of 441.890 04Jan2000=1000 in Sep 2001. Korea Index: KOSPI 100 Index data remains active status in CEIC and is reported by Korea Exchange. The data is categorized under Global Database’s South Korea – Table KR.Z001: Korea Exchange: KOSPI Market: Index.

KOSPI is expected to increase with a bullish sentiment and positive market momentum. Potential risks include market volatility, global economic uncertainties, and geopolitical tensions. These factors could impact market trends and lead to fluctuations in KOSPI's performance.

Korea Index: KOSPI 200: Energy and Chemicals data was reported at 1,355.990 03Jan1990=100 in Nov 2018. This records an increase from the previous number of 1,342.860 03Jan1990=100 for Oct 2018. Korea Index: KOSPI 200: Energy and Chemicals data is updated monthly, averaging 1,129.010 03Jan1990=100 from Jan 2008 (Median) to Nov 2018, with 131 observations. The data reached an all-time high of 1,872.480 03Jan1990=100 in Apr 2011 and a record low of 539.820 03Jan1990=100 in Nov 2008. Korea Index: KOSPI 200: Energy and Chemicals data remains active status in CEIC and is reported by Korea Exchange. The data is categorized under Global Database’s South Korea – Table KR.Z001: Korea Exchange: KOSPI Market: Index.

Index: KOSPI: Paper and Wood Products data was reported at 351.570 04Jan1980=100 in Nov 2018. This records an increase from the previous number of 351.070 04Jan1980=100 for Oct 2018. Index: KOSPI: Paper and Wood Products data is updated monthly, averaging 334.860 04Jan1980=100 from Jan 1980 (Median) to Nov 2018, with 467 observations. The data reached an all-time high of 1,723.770 04Jan1980=100 in Dec 1994 and a record low of 80.040 04Jan1980=100 in Apr 1982. Index: KOSPI: Paper and Wood Products data remains active status in CEIC and is reported by Korea Exchange. The data is categorized under Global Database’s South Korea – Table KR.Z001: Korea Exchange: KOSPI Market: Index.

Korea Index: KOSPI: Iron and Metal Products data was reported at 4,028.740 04Jan1980=100 in Nov 2018. This records an increase from the previous number of 3,972.970 04Jan1980=100 for Oct 2018. Korea Index: KOSPI: Iron and Metal Products data is updated monthly, averaging 1,229.230 04Jan1980=100 from Jan 1980 (Median) to Nov 2018, with 467 observations. The data reached an all-time high of 7,904.440 04Jan1980=100 in Sep 2007 and a record low of 83.400 04Jan1980=100 in Dec 1980. Korea Index: KOSPI: Iron and Metal Products data remains active status in CEIC and is reported by Korea Exchange. The data is categorized under Global Database’s South Korea – Table KR.Z001: Korea Exchange: KOSPI Market: Index.

The DAX is a stock market index composed of the ** major German blue chip companies trading on the Frankfurt Stock Exchange. At the close of 2024, the DAX (Deutscher Aktienindex) closed at ********* points. This was the highest closing value of the observed period.What is the DAX index? The DAX is the most important stock index in Germany. It was introduced on July 1, 1988 and is a continuation of the Börsen-Zeitung Index, established in 1959. The DAX index is comprised of ** largest and most liquid German companies such as Deutsche Bank, Allianz or Bayer. These companies are traded on the Frankfurt Stock Exchange, which is the oldest exchange worldwide. The index can be viewed as a snapshot of the investment climate in Germany. What is not included in the DAX? Most notably, the DAX, like most indices, is not adjusted for inflation. While inflation has been relatively low in recent years, it might be useful to adjust the historic figures on the index when comparing historic data to current levels. This is particularly important for years when the index appears to increase by a few percentage points, because inflation may have increased at a more rapid rate than the stock prices.

Germany's main stock market index, the DE40, rose to 24295 points on July 30, 2025, gaining 0.32% from the previous session. Over the past month, the index has climbed 2.62% and is up 31.26% compared to the same time last year, 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 July of 2025.

Korea Index: KOSPI 200: Steels and Materials data was reported at 773.800 03Jan1990=100 in Nov 2018. This records an increase from the previous number of 730.770 03Jan1990=100 for Oct 2018. Korea Index: KOSPI 200: Steels and Materials data is updated monthly, averaging 921.710 03Jan1990=100 from Jan 2008 (Median) to Nov 2018, with 131 observations. The data reached an all-time high of 1,283.220 03Jan1990=100 in Jul 2011 and a record low of 505.500 03Jan1990=100 in Feb 2009. Korea Index: KOSPI 200: Steels and Materials data remains active status in CEIC and is reported by Korea Exchange. The data is categorized under Global Database’s South Korea – Table KR.Z001: Korea Exchange: KOSPI Market: Index.

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.

DAX Index: Is Germany's Economy on the Rise?

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

Index price information is data that provides price information on major indices provided by the Korea Exchange. It includes price items such as opening price, high price, low price, closing price, rate of increase and decrease, and trading volume for stock indices, bond indices, and derivative indices. This data consists of three operations. Each operation is as follows. ① Stock index price: Provides price information on major stock indices such as KOSPI and KOSDAQ. ② Bond index price: You can search for the price of bond market indices by item. ③ Derivative index price: Search for price information on derivative-related indices. This data provides data from January 1, 2020. ※ Please refer to the user guide as some index names have changed after December 6, 2024.

Korea Index: KOSPI 200: Consumer Staples data was reported at 1,205.840 03Jan1990=100 in Nov 2018. This records an increase from the previous number of 1,117.140 03Jan1990=100 for Oct 2018. Korea Index: KOSPI 200: Consumer Staples data is updated monthly, averaging 997.820 03Jan1990=100 from Jan 2008 (Median) to Nov 2018, with 131 observations. The data reached an all-time high of 1,525.800 03Jan1990=100 in May 2016 and a record low of 737.630 03Jan1990=100 in Feb 2009. Korea Index: KOSPI 200: Consumer Staples data remains active status in CEIC and is reported by Korea Exchange. The data is categorized under Global Database’s South Korea – Table KR.Z001: Korea Exchange: KOSPI Market: Index.

Euro Stoxx 50 is the index designed by STOXX, a globally operating index provider headquartered in Zurich, Switzerland, which in turn is owned by Deutsche Börse Group. This index provides the broad representation of the Eurozone blue chips performance. Blue chips are corporations known on the European market for quality, reliability and the ability to operate profitably both in good and bad economic times.
Development of the Euro Stoxx 50 index The year-end value of the Euro Stoxx 50 peaked in 1999, with 4,904.46 index points. It noted significant decrease between 1999 and 2002, then an increase to 4,399.72 in 2007, prior to the global recession. Since the very sharp decline in 2008, there was a tentative increase, never yet reaching the pre-recession levels. As of the end of 2021, the Euro Stoxx 50 index was getting close to its historical heights, reaching 4,298.41 points, its highest position post recession, before falling again in 2022. In 2023 and 2024, the index rose again, reaching 4,862.28 points. Some of the following reputable companies formed the Euro Stoxx 50 index: Adidas, Airbus Group, Allianz, BMW, BNP Paribas, L'Oréal, ING Group NV, Nokia, Phillips, Siemens, Société Générale SA or Volkswagen Group.
European financial stock exchange indices Other European indices include the DAX (Deutscher Aktienindex) index and the FTSE 100 (Financial times Stock Exchange 100 index). FTSE, informally known as the “Footsie”, is a share index of the 100 companies listed on the London Stock Exchange with the highest market capitalization. The Index, which began in January 1984 with the base level of 1,000, reached 7,733.24 at the closing of 2023. More in-depth information can be found in the report on stock market indices.

Interactive daily chart of the Hong Kong Hang Seng Composite stock market index back to 1986. Each data point represents the closing value for that trading day and is denominated in hong kong dollars (HKD). The current price is updated on an hourly basis with today's latest value.

Korea Index: KOSPI: Food and Beverages data was reported at 3,961.630 04Jan1980=100 in Nov 2018. This records an increase from the previous number of 3,665.330 04Jan1980=100 for Oct 2018. Korea Index: KOSPI: Food and Beverages data is updated monthly, averaging 1,003.960 04Jan1980=100 from Jan 1980 (Median) to Nov 2018, with 467 observations. The data reached an all-time high of 5,943.880 04Jan1980=100 in Jan 2016 and a record low of 96.410 04Jan1980=100 in Mar 1980. Korea Index: KOSPI: Food and Beverages data remains active status in CEIC and is reported by Korea Exchange. The data is categorized under Global Database’s South Korea – Table KR.Z001: Korea Exchange: KOSPI Market: Index.

Korea Index: KOSPI 200: Constructions & Machinery data was reported at 280.340 03Jan1990=100 in Nov 2018. This records an increase from the previous number of 251.850 03Jan1990=100 for Oct 2018. Korea Index: KOSPI 200: Constructions & Machinery data is updated monthly, averaging 402.130 03Jan1990=100 from Jan 2008 (Median) to Nov 2018, with 131 observations. The data reached an all-time high of 923.860 03Jan1990=100 in Feb 2008 and a record low of 248.510 03Jan1990=100 in Sep 2017. Korea Index: KOSPI 200: Constructions & Machinery data remains active status in CEIC and is reported by Korea Exchange. The data is categorized under Global Database’s South Korea – Table KR.Z001: Korea Exchange: KOSPI Market: Index.

Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI Large Cap data was reported at 2,543.110 NA in Apr 2025. This records an increase from the previous number of 2,479.810 NA for Mar 2025. Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI Large Cap data is updated monthly, averaging 2,111.365 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 3,234.060 NA in Jun 2021 and a record low of 1,751.120 NA in Mar 2020. Korea Stock Exchange: Index: Korea Composite Stock Price Index: KOSPI Large Cap data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s South Korea – Table KR.EDI.SE: Korea Stock Exchange: Monthly.

Korea Index: KOSPI 200: Shipbuilding & Transportation data was reported at 314.230 03Jan1990=100 in Nov 2018. This records an increase from the previous number of 287.300 03Jan1990=100 for Oct 2018. Korea Index: KOSPI 200: Shipbuilding & Transportation data is updated monthly, averaging 461.640 03Jan1990=100 from Jan 2008 (Median) to Nov 2018, with 131 observations. The data reached an all-time high of 918.950 03Jan1990=100 in May 2008 and a record low of 231.220 03Jan1990=100 in Jan 2016. Korea Index: KOSPI 200: Shipbuilding & Transportation data remains active status in CEIC and is reported by Korea Exchange. The data is categorized under Global Database’s South Korea – Table KR.Z001: Korea Exchange: KOSPI Market: Index.