The NYSE Energy Index tracks the performance of the equity components on the New York Stock Exchange that offer goods and services in the energy industry by market capitalization. Between January 2004 and February 2025, the index fluctuated significantly and reached its highest value in May 2008, with a value of *********, whereas it reached its lowest value in October 2020, at ******** index points. As of February 2025, the value of the NYSE Energy Index amounted to ********* index points.

China Index: Shanghai Stock Exchange: Energy data was reported at 1,940.590 31Dec2003=1000 in Nov 2025. This records a decrease from the previous number of 1,944.550 31Dec2003=1000 for Oct 2025. China Index: Shanghai Stock Exchange: Energy data is updated monthly, averaging 2,475.910 31Dec2003=1000 from Jan 2005 (Median) to Nov 2025, with 251 observations. The data reached an all-time high of 5,578.689 31Dec2003=1000 in Oct 2007 and a record low of 762.400 31Dec2003=1000 in May 2005. China Index: Shanghai Stock Exchange: Energy data remains active status in CEIC and is reported by China Securities Index Co., Ltd.. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: China Securities Index .

The NYSE U.S. Market Energy Sector Index tracks the performance of the U.S. domiciled equity components listed on the U.S. stock exchanges that offer goods and services in the energy sector. The statistics shows the monthly development of the NYSE U.S. Market Energy Sector Index from December 2015 to June 2023. During that time, the index fluctuated significantly and reached its lowest point of all time in March 2020, with a value of ********. As of June 2023, the NYSE U.S. Market Energy Index stood at *******.

New York Stock Exchange: Index: S&P 500 Energy Sector data was reported at 686.630 NA in Nov 2025. This records an increase from the previous number of 674.740 NA for Oct 2025. New York Stock Exchange: Index: S&P 500 Energy Sector data is updated monthly, averaging 437.130 NA from Aug 2013 (Median) to Nov 2025, with 148 observations. The data reached an all-time high of 727.630 NA in Jun 2014 and a record low of 216.820 NA in Oct 2020. New York Stock Exchange: Index: S&P 500 Energy Sector data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: S&P: Monthly.

This dataset encapsulates a detailed examination of market dynamics over a five-year period, focusing on the fluctuation of prices and trading volumes across a diversified portfolio. It covers various sectors including energy commodities like natural gas and crude oil, metals such as copper, platinum, silver, and gold, cryptocurrencies including Bitcoin and Ethereum, and key stock indices and companies like the S&P 500, Nasdaq 100, Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta Platforms. This dataset serves as a valuable resource for analyzing trends and patterns in global markets.

Date: The date of the recorded data, formatted as DD-MM-YYYY. Natural_Gas_Price: Price of natural gas in USD per million British thermal units (MMBtu). Natural_Gas_Vol.: Trading volume of natural gas Crude_oil_Price: Price of crude oil in USD per barrel. Crude_oil_Vol.: Trading volume of crude oil Copper_Price: Price of copper in USD per pound. Copper_Vol.: Trading volume of copper Bitcoin_Price: Price of Bitcoin in USD. Bitcoin_Vol.: Trading volume of Bitcoin Platinum_Price: Price of platinum in USD per troy ounce. Platinum_Vol.: Trading volume of platinum Ethereum_Price: Price of Ethereum in USD. Ethereum_Vol.: Trading volume of Ethereum S&P_500_Price: Price index of the S&P 500. Nasdaq_100_Price: Price index of the Nasdaq 100. Nasdaq_100_Vol.: Trading volume for the Nasdaq 100 index Apple_Price: Stock price of Apple Inc. in USD. Apple_Vol.: Trading volume of Apple Inc. stock Tesla_Price: Stock price of Tesla Inc. in USD. Tesla_Vol.: Trading volume of Tesla Inc. stock Microsoft_Price: Stock price of Microsoft Corporation in USD. Microsoft_Vol.: Trading volume of Microsoft Corporation stock Silver_Price: Price of silver in USD per troy ounce. Silver_Vol.: Trading volume of silver Google_Price: Stock price of Alphabet Inc. (Google) in USD. Google_Vol.: Trading volume of Alphabet Inc. stock Nvidia_Price: Stock price of Nvidia Corporation in USD. Nvidia_Vol.: Trading volume of Nvidia Corporation stock Berkshire_Price: Stock price of Berkshire Hathaway Inc. in USD. Berkshire_Vol.: Trading volume of Berkshire Hathaway Inc. stock Netflix_Price: Stock price of Netflix Inc. in USD. Netflix_Vol.: Trading volume of Netflix Inc. stock Amazon_Price: Stock price of Amazon.com Inc. in USD. Amazon_Vol.: Trading volume of Amazon.com Inc. stock Meta_Price: Stock price of Meta Platforms, Inc. (formerly Facebook) in USD. Meta_Vol.: Trading volume of Meta Platforms, Inc. stock Gold_Price: Price of gold in USD per troy ounce. Gold_Vol.: Trading volume of gold

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Prices for Wind Energy Index including live quotes, historical charts and news. Wind Energy Index was last updated by Trading Economics this December 2 of 2025.

• **"This dataset contains monthly percentage returns of constituent stocks comprising the Nifty Energy Index."

"Each observation includes the percentage change in stock prices for leading energy companies listed on the National Stock Exchange of India (NSE)."

"The dataset spans multiple years, offering insights into the volatility and performance trends within the energy sector."

"Researchers and analysts can utilize this dataset to analyze market dynamics, assess risk, and develop predictive models for energy stock movements."

"Ideal for studying correlations between individual stock performances and broader market trends affecting the energy sector."**

Graph and download economic data for CBOE Energy Sector ETF Volatility Index (DISCONTINUED) (VXXLECLS) from 2011-03-16 to 2022-02-11 about ETF, VIX, volatility, stock market, energy, sector, and USA.

United States New York Stock Exchange: Index: Energy Index data was reported at 12,462.527 NA in Apr 2025. This records a decrease from the previous number of 14,207.149 NA for Mar 2025. United States New York Stock Exchange: Index: Energy Index data is updated monthly, averaging 11,215.500 NA from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 16,068.000 NA in Aug 2014 and a record low of 4,912.500 NA in Oct 2020. United States New York Stock Exchange: Index: Energy Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Monthly.

NIFTY Energy sector Index includes companies belonging to Petroleum, Gas and Power sectors. The Index comprises of 10 companies listed on National Stock Exchange of India (NSE). NIFTY Energy Index is computed using free float market capitalization method, wherein the level of the index reflects the total free float market value of all the stocks in the index relative to particular base market capitalization value. NIFTY Energy Index can be used for a variety of purposes such as benchmarking fund portfolios, launching of index funds, ETFs and structured products. Index Variant: NIFTY Energy Total Returns Index.

Prices for Solar Energy Index including live quotes, historical charts and news. Solar Energy Index was last updated by Trading Economics this November 29 of 2025.

Nuclear Energy Index fell to 44.45 USD on December 1, 2025, down 2.65% from the previous day. Over the past month, Nuclear Energy Index's price has fallen 14.94%, but it is still 37.74% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Nuclear Energy Index.

Sri Lanka CSE: Index: Power & Energy data was reported at 110.110 NA in Oct 2018. This records a decrease from the previous number of 110.410 NA for Sep 2018. Sri Lanka CSE: Index: Power & Energy data is updated monthly, averaging 122.250 NA from Dec 2004 (Median) to Oct 2018, with 167 observations. The data reached an all-time high of 196.200 NA in Jan 2005 and a record low of 67.200 NA in Dec 2008. Sri Lanka CSE: Index: Power & Energy data remains active status in CEIC and is reported by Colombo Stock Exchange. The data is categorized under Global Database’s Sri Lanka – Table LK.Z001: Colombo Stock Exchange: 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.

DJ Commodity Energy Index: The Future of Energy?

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 file dataset.xlsx contains structured financial time series data prepared for an event study analysis (ESA) examining market reactions to the onset of the Russia–Ukraine war. The dataset encompasses observations from a diversified selection of asset classes, including: (i) safe-haven assets (gold, silver, platinum, Bitcoin), (ii) energy commodities (Brent crude oil, WTI crude oil, natural gas, coal, EU Emissions Trading System (ETS) allowances), (iii) energy equities (68 stocks from the S&P 1500 classified under the Energy sector), (iv) the S&P 500 index, and (v) energy-related cryptocurrencies (Electrify.Asia, Energy Web Token, Grid+, Power Ledger, SunContract, Efforce, and WePower). For abnormal return estimation, each asset group is matched with an appropriate benchmark index in accordance with ESA methodology: the Dow Jones Precious Metals Index (for gold, silver, and platinum), the CMC Crypto 200 Index (for Bitcoin and energy-related cryptocurrencies), the S&P GSCI Index (for energy commodities), the S&P 500 Index (for energy equities), and the MSCI All Country World Index (ACWI) for the general market. Event date is set to February 24, 2022, marking the outbreak of the full-scale military invasion of Ukraine by the Russian Federation. The estimation window comprises 252 daily price observations ending on December 31, 2021 (inclusive). The event window extends from t = –30 to t = +30 relative to the event date. The dataset is formatted to facilitate empirical testing of market efficiency, price sensitivity to geopolitical shocks, and asset class-specific abnormal return dynamics."}

FCHI The FCHI, or the CAC 40 Index, is a benchmark stock market index in France that represents the performance of the 40 most significant and actively traded stocks on the Euronext Paris. It includes major French companies across various sectors such as finance, energy, consumer goods, and technology. The index is widely used by investors and financial professionals to gauge the health of the French economy and serves as a key indicator of European market trends.

FTSE The FTSE 100 Index, commonly referred to as simply the FTSE, is a stock market index that tracks the performance of the 100 largest companies listed on the London Stock Exchange, ranked by market capitalization. It is one of the most widely followed indices in Europe and reflects the overall strength and direction of the UK's economy. Major multinational corporations in sectors like banking, oil, and pharmaceuticals are heavily represented in this index.

GDAXI The GDAXI, also known as the DAX 40 or simply DAX, is Germany’s leading stock market index, consisting of the 40 largest and most liquid German companies trading on the Frankfurt Stock Exchange. These companies are typically industry leaders in sectors such as automotive, industrial manufacturing, pharmaceuticals, and financial services. The DAX is a key indicator of economic performance in Germany and is closely watched by investors around the world.

HSI The HSI, or Hang Seng Index, is a stock market index that tracks the performance of the largest companies listed on the Hong Kong Stock Exchange. It serves as a key benchmark for the Hong Kong stock market and provides insight into the economic conditions of Hong Kong and greater China. The index includes companies from various sectors, including finance, real estate, and technology, many of which have significant operations in mainland China.

IDX The IDX Composite Index, often referred to as the Jakarta Composite Index, is the main stock market index for the Indonesia Stock Exchange (IDX). It measures the performance of all actively traded stocks listed on the exchange and is used as a key indicator of the overall health of the Indonesian economy. The index covers a wide range of industries, including banking, commodities, telecommunications, and consumer goods.

N225 The N225, or Nikkei 225, is Japan’s most well-known stock market index, comprising 225 top-quality companies listed on the Tokyo Stock Exchange. It is a price-weighted index that reflects the performance of major Japanese firms across various industries such as electronics, automotive, and financial services. The Nikkei 225 is considered a key barometer of Japan's economic health and is widely monitored by global investors.

NYA The NYA, or NYSE COMPOSITE INDEX, is a broad stock market index that includes all common stocks listed on the New York Stock Exchange. Unlike more narrow indices such as the Dow Jones Industrial Average, the NYA offers a comprehensive view of the entire NYSE market, covering companies across multiple sectors and market capitalizations. It is used by investors to assess the overall performance of the U.S. stock market.

As of November 14, 2021, all S&P 500 sector indices had recovered to levels above those of January 2020, prior to full economic effects of the global coronavirus (COVID-19) pandemic taking hold. However, different sectors recovered at different rates to sit at widely different levels above their pre-pandemic levels. This suggests that the effect of the coronavirus on financial markets in the United States is directly affected by how the virus has impacted various parts of the underlying economy. Which industry performed the best during the coronavirus pandemic? Companies operating in the information technology (IT) sector have been the clear winners from the pandemic, with the IT S&P 500 sector index sitting at almost ** percent above early 2020 levels as of November 2021. This is perhaps not surprising given this industry includes some of the companies who benefitted the most from the pandemic such as ************** and *******. The reason for these companies’ success is clear – as shops were shuttered and social gatherings heavily restricted due to the pandemic, online services such shopping and video streaming were in high demand. The success of the IT sector is also reflected in the performance of global share markets during the coronavirus pandemic, with tech-heavy NASDAQ being the best performing major market worldwide. Which industry performed the worst during the pandemic? Conversely, energy companies fared the worst during the pandemic, with the S&P 500 sector index value sitting below its early 2020 value as late as July 2021. Since then it has somewhat recovered, and was around ** percent above January 2020 levels as of October 2021. This reflects the fact that many oil companies were among the share prices suffering the largest declines over 2020. A primary driver for this was falling demand for fuel in line with the reduction in tourism and commuting caused by lockdowns all over the world. However, as increasing COVID-19 vaccination rates throughout 2021 led to lockdowns being lifted and global tourism reopening, demand has again risen - reflected by the recent increase in the S&P 500 energy index.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 282 companies listed on the Bolivian Stock Exchange (XBOL) in Bolivia. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Bolivia:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Bolivia:

Bolivian Stock Exchange (BSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Bolivian Stock Exchange. This index provides insights into the overall market performance of local companies in Bolivia.

Bolivian Stock Exchange (BSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Bolivian Stock Exchange. This index reflects the performance of international companies operating in Bolivia.

Retail Giant X: A prominent Bolivian-based retail chain with operations across various regions. This company's stock is widely traded on the Bolivian Stock Exchange and represents the retail sector.

Financial Services Corporation Y: A leading financial institution in Bolivia, offering banking, insurance, or investment services. This company's stock is actively traded on the Bolivian Stock Exchange.

Energy Company Z: A major player in the Bolivian energy sector, involved in the production and distribution of energy resources. This company's stock is listed and actively traded on the Bolivian Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Bolivia, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Bolivia ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Bolivia?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Bolivia exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards,...

China Index: CSI 300 Index: Energy data was reported at 2,334.824 31Dec2004=1000 in Nov 2025. This records an increase from the previous number of 2,323.648 31Dec2004=1000 for Oct 2025. China Index: CSI 300 Index: Energy data is updated monthly, averaging 1,643.820 31Dec2004=1000 from Jul 2007 (Median) to Nov 2025, with 221 observations. The data reached an all-time high of 7,314.680 31Dec2004=1000 in Oct 2007 and a record low of 1,156.819 31Dec2004=1000 in Jun 2020. China Index: CSI 300 Index: Energy data remains active status in CEIC and is reported by China Securities Index Co., Ltd.. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: China Securities Index .

Jordan Amman Stock Exchange: Index: Free Float Weighted Index: Utilities & Energy data was reported at 6,445.060 NA in Oct 2024. This records an increase from the previous number of 6,404.420 NA for Sep 2024. Jordan Amman Stock Exchange: Index: Free Float Weighted Index: Utilities & Energy data is updated monthly, averaging 4,317.487 NA from Jul 2013 (Median) to Oct 2024, with 135 observations. The data reached an all-time high of 8,000.580 NA in Jul 2022 and a record low of 3,131.944 NA in Dec 2018. Jordan Amman Stock Exchange: Index: Free Float Weighted Index: Utilities & Energy data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Jordan – Table JO.EDI.SE: Amman Stock Exchange: Monthly.