Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.

China's main stock market index, the SHANGHAI, rose to 3520 points on July 14, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 3.86% and is up 18.35% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

CRB Index rose to 373.34 Index Points on July 11, 2025, up 1.06% from the previous day. Over the past month, CRB Index's price has risen 0.59%, and is up 9.33% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on July of 2025.

While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around 40 percent of their value compared to January 5, 2020. However, Asian markets and the NASDAQ Composite Index only shed around 20 to 25 percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around 65 percent higher than in January 2020, while most other markets were only between 20 and 40 percent higher.

Why did the NASDAQ recover the quickest?

Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide.

Which markets suffered the most?

The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

France's main stock market index, the FR40, fell to 7829 points on July 11, 2025, losing 0.92% from the previous session. Over the past month, the index has climbed 0.83% and is up 1.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on July of 2025.

In December 2024, the PPI for finished goods increased by 2.9 percent compared to the same month in the previous year. Finished goods are commodities that will not undergo further processing and are ready for sale to the final-demand user, either an individual consumer or business firm. The Producer Price Index (PPI) program measures the average change over time in the selling prices received by domestic producers for their output. The prices included in the PPI are from the first commercial transaction for many products and some services.

Stock market index in Mexico, June, 2025 The most recent value is 130.44 points as of June 2025, a decline compared to the previous value of 131.33 points. Historically, the average for Mexico from January 1970 to June 2025 is 35.98 points. The minimum of 0 points was recorded in January 1970, while the maximum of 131.33 points was reached in May 2025. | TheGlobalEconomy.com

China Closing Price: CSI 500 Index Futures: Current Month data was reported at 5,800.000 Index Point in 14 May 2025. This records an increase from the previous number of 5,767.200 Index Point for 13 May 2025. China Closing Price: CSI 500 Index Futures: Current Month data is updated daily, averaging 6,030.400 Index Point from Apr 2015 (Median) to 14 May 2025, with 2449 observations. The data reached an all-time high of 11,427.800 Index Point in 12 Jun 2015 and a record low of 4,033.200 Index Point in 18 Oct 2018. China Closing Price: CSI 500 Index Futures: Current Month data remains active status in CEIC and is reported by China Financial Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZI: China Financial Futures Exchange: Index Futures: Closing and Settlement Price: Daily .

China Consumer Price Index (CPI): YoY data was reported at -0.100 % in Mar 2025. This records an increase from the previous number of -0.700 % for Feb 2025. China Consumer Price Index (CPI): YoY data is updated monthly, averaging 2.500 % from Jan 1985 (Median) to Mar 2025, with 483 observations. The data reached an all-time high of 28.400 % in Feb 1989 and a record low of -2.200 % in May 1999. China Consumer Price Index (CPI): YoY data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IA: Consumer Price Index: Price Factor Effect of Last and Current Year.

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.

Cotton Index: The Future of Textile Trade?

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

Industrial product price index (IPPI), by major product group by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1956. The table presents data for the most recent reference period and the last four periods. The base period for the index is (202001=100).

This statistic depicts the consumer price index (CPI) for food in the United States from 1960 to 2024. In December 2024, the consumer price index (CPI) for food amounted to ******, compared to the period from 1982 to 1984 (=100).

Brazil Market Expectation: Price Indices: General Price Index - Internal Availability (IGP-DI): Current Calendar Year: Standard Deviation data was reported at 0.800 % in 28 Jun 2019. This stayed constant from the previous number of 0.800 % for 27 Jun 2019. Brazil Market Expectation: Price Indices: General Price Index - Internal Availability (IGP-DI): Current Calendar Year: Standard Deviation data is updated daily, averaging 0.630 % from Apr 1999 (Median) to 28 Jun 2019, with 5053 observations. The data reached an all-time high of 4.330 % in 12 May 1999 and a record low of 0.060 % in 09 Jan 2007. Brazil Market Expectation: Price Indices: General Price Index - Internal Availability (IGP-DI): Current Calendar Year: Standard Deviation data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA013: Market Expectation: Price Indices: General Price Index - Internal Availability (IGP-DI). Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. Reflects the price changes of the entire reference month. That is, from the 1st to the 30th of each month. It is made up of the IPA (Wholesale Price Index), Consumer Price Index (IPC) and INCC (National Construction Cost Index), with weights of 60%, 30% and 10%, respectively. The indicator analyzes the price changes of agricultural and industrial raw materials in wholesale and of final goods and services in consumption.

data was reported at 133.810 Dec2003=100 in Dec 2022. This records a decrease from the previous number of 140.869 Dec2003=100 for Nov 2022. data is updated monthly, averaging 118.100 Dec2003=100 from Dec 2003 (Median) to Dec 2022, with 229 observations. The data reached an all-time high of 153.450 Dec2003=100 in Oct 2022 and a record low of 90.500 Dec2003=100 in Jun 2020. data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I100: Producer Price Index: by Industry: Services: Retail Trade.

China Imports Price Index: Commodity data was reported at 1.949 Index, 2015 in 2025. This records an increase from the previous number of 1.941 Index, 2015 for 2024. China Imports Price Index: Commodity data is updated yearly, averaging 1.041 Index, 2015 from Dec 1988 (Median) to 2025, with 38 observations. The data reached an all-time high of 2.007 Index, 2015 in 2022 and a record low of 0.258 Index, 2015 in 1988. China Imports Price Index: Commodity data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.EO: Exports and Imports Price Index: Forecast: Non OECD Member: Annual. PMNW - Price of commodity importsIndex, OECD reference year OECD calculation, see OECD Economic Outlook database documentation

Graph and download economic data for Index of Wholesale Prices for United States (M0448CUSM350NNBR) from Jan 1913 to Dec 1968 about wholesale, price index, indexes, price, and USA.

United States Import Value Index data was reported at 126.779 2015=100 in 2021. This records an increase from the previous number of 103.958 2015=100 for 2020. United States Import Value Index data is updated yearly, averaging 51.384 2015=100 from Dec 1980 (Median) to 2021, with 42 observations. The data reached an all-time high of 126.779 2015=100 in 2021 and a record low of 11.319 2015=100 in 1982. United States Import Value Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Index. Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's import value indexes are reported for most economies.;United Nations Conference on Trade and Development;;

Coffee fell to 288.72 USd/Lbs on July 11, 2025, down 0.41% from the previous day. Over the past month, Coffee's price has fallen 16.63%, but it is still 15.90% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on July of 2025.

China Producer Price Index: Carryover Effect of Last Year data was reported at -1.800 % Point in Mar 2025. This records an increase from the previous number of -1.900 % Point for Feb 2025. China Producer Price Index: Carryover Effect of Last Year data is updated monthly, averaging -0.100 % Point from Jan 2013 (Median) to Mar 2025, with 135 observations. The data reached an all-time high of 9.300 % Point in Jan 2022 and a record low of -4.800 % Point in Jan 2016. China Producer Price Index: Carryover Effect of Last Year data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IE: Producer Price Index: Price Factor Effect of Last and Current Year.