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.

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

The nuclear energy companies in the world with the largest market capitalization were located in the United States and France. NextEra Energy, which was also the largest electric utility company in the world, ranked first with a market cap of some *** billion U.S. dollars.

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

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.

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.

Nano Nuclear Sees Promising Future, Driving Potential Gains for (NNE)

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

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8734253%2F6fb2bf7728a3a187a6d406c0ff2b7a8f%2Fnuclear%20energy%20flag.png?generation=1718487639963302&alt=media" alt="">

Introduction

This dataset is a curated collection of data related to nuclear energy, covering various aspects such as power plant locations and characteristics, uranium production, electricity generation, safety, and more. The data comes from reputable sources including the U.S. Energy Information Administration (EIA), World Resources Institute, Ember Climate, U.S. Nuclear Regulatory Commission (NRC), and Our World in Data.

Nuclear energy is a critical topic as countries around the world seek to decarbonize their electricity grids and combat climate change. At the same time, concerns around safety, waste disposal, and weapons proliferation lead to ongoing debate about the role nuclear should play in the energy transition.

This dataset enables in-depth analysis to inform these important discussions. Potential use cases include:

• Examining trends in nuclear energy generation and capacity over time and across geographies
• Benchmarking the safety record of nuclear compared to other energy sources
• Analyzing uranium production and prices to understand nuclear fuel dynamics
• Identifying major nuclear plant operators and parent companies
• Assessing the current and potential future role of nuclear in the electricity mix of various countries and regions

I encourage the Kaggle community to explore and build upon this dataset. Potential future collaborations could expand the dataset to include more granular plant-level data, detailed reactor specifications, waste and decommissioning data, country-level policy information, public opinion surveys, and more. I also welcome suggestions for additional datasets to include and new analytics projects and tutorials to undertake. Please do not hesitate to create threads in the "Discussion" or "Suggestions" sections. Together we can create a rich resource to power essential research and decision-making around nuclear energy. 🤗

Starter Code

Refer to for some sample data analysis using this dataset. It also shows how to interface with the particular files.

File Descriptions

The below table contains brief descriptions of the files in the dataset. For a more in-depth description of a file titled filename, refer to README_${filename}.md. The README files do not contain any actual data. | File Name | Description | | --- | --- | | global_power_plant_database.csv | The Global Power Plant Database is a comprehensive, open-source dataset of grid-scale electricity generating facilities operating worldwide, currently containing nearly 35,000 power plants in 167 countries and representing about 72% of the world's capacity. The database provides detailed information on each power plant, including location, capacity, primary fuel type, owner, and commissioning year. It also includes both reported and estimated annual electricity generation data from 2013 to 2019. | | nuclear_energy_overview_eia.csv | The data file contains information about nuclear energy in the United States, broken down by year and month. It includes the number of operable nuclear generating units, their net summer capacity, the net generation of electricity from nuclear power, the percentage share of total electricity net generation coming from nuclear power, and the capacity factor of nuclear generating units. This dataset provides a comprehensive overview of the state of nuclear energy in the U.S. over time. | | number_of_plants_producing_uranium_in_us.csv | The file contains yearly data on the number of uranium mills and plants producing uranium concentrate in the United States. It includes columns for the year, the number of conventional milling operations, non-conventional milling operations, in-situ recovery plants, and byproduct recovery plants active each year. | | rates_death_from_energy_production_per_twh.csv | The file contains data on the mortality rates associated with different energy sources used for electricity production. It includes columns for the energy source type, the number of deaths per terawatt-hour (TWh) of electricity generated, and the year (consistently 2021 for all entries). The data provides insights into the relative safety of various energy sources in terms of deaths per ...

Stock Price Time Series for Huntington Ingalls Industries Inc. Huntington Ingalls Industries, Inc. designs, builds, overhauls, and repairs military ships in the United States. It operates through three segments: Ingalls, Newport News, and Mission Technologies. The company is involved in the design and construction of non-nuclear ships comprising amphibious assault ships; expeditionary warfare ships; surface combatants; and national security cutters for the U.S. Navy and U.S. Coast Guard. It also provides nuclear-powered ships, such as aircraft carriers and submarines, as well as refueling and overhaul, and inactivation services of nuclear-powered aircraft carriers. In addition, the company offers naval nuclear support services, including fleet services comprising design, construction, maintenance, and disposal activities for in-service the U.S. Navy nuclear ships; and maintenance services on nuclear reactor prototypes. Further, the company provides C5ISR systems and operations; application of artificial intelligence and machine learning to battlefield decisions; defensive and offensive cyberspace strategies and electronic warfare; uncrewed autonomous systems; live, virtual, and constructive solutions; and fleet sustainment; and critical nuclear operations. Huntington Ingalls Industries, Inc. was founded in 1886 and is headquartered in Newport News, Virginia.

Stock Price Time Series for Fluor Corporation. Fluor Corporation provides engineering, procurement, and construction (EPC); fabrication and modularization; and project management services worldwide. The company operates through three segments: Urban Solutions, Energy Solutions, and Mission Solutions. The Urban Solutions segment offers EPC and project management services to the advanced technologies and manufacturing, life sciences, mining and metals, and infrastructure industries. This segment also provides professional staffing services to the company and third-party clients with technical, professional, and craft resources on a contract or permanent placement basis. The Energy Solutions segment offers EPC services for traditional oil and gas markets, including the production and fuels, chemicals, LNG, and power markets. This segment also provides solutions to the energy transition markets, including nuclear power and other low-carbon energy sources, asset decarbonization, carbon capture, renewable fuels, waste-to-energy, green chemicals, and hydrogen; and consulting services, such as feasibility studies, process assessments, and project finance structuring. The Mission Solutions segment offers technical solutions to the U.S. and other governments. This segment provides site management, environmental remediation, and decommissioning for nuclear remediation at governmental facilities, as well as services to commercial nuclear clients. It also delivers solutions for nuclear security and operation, nuclear waste management, and laboratory management; and operation and maintenance, logistics, EPC, and life support solutions for mission-critical facilities across U.S. military service organizations. The company was founded in 1912 and is headquartered in Irving, Texas.

Non-irradiated fuel elements made up almost ** percent of South Korea's trade value gained from nuclear reactor parts in 2022. According to the source, the export value of nuclear reactors from South Korea decreased from 2020 to 2021.

Using all stocks listed in the Tokyo Stock Exchange and macroeconomic data for Japan, the dataset comprises the following series:

1. Japan_25_Portfolios_MV_PTBV: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
2. Japan_25_Portfolios_MV_PE: Monthly returns for 25 size-PE portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
3. Japan_50_Portfolios_SECTOR: Monthly returns for 50 industry portfolios. (Raw data source: Datastream database)
4. Japan_3 Factors: Fama and French three-factors (RM, SMB and HML), following the Fama and French (1993) methodology. (Raw data source: Datastream database)
5. Japan_5 Factors: Fama and French five-factors (RM, SMB, HML, RMW, and CMA), following the Fama and French (2015) methodology. (Raw data source: Datastream database)
6. Japan_NUCLEAR_Y: Instrument in years with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
7. Japan_NUCLEAR_M: Instrument in months with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
8. Japan_RF_M: Three-month interest rate of the Treasury Bill for Japan. (Raw data source: OECD)
9. Company data: Names and general data of the companies that constitute the sample. (Raw data source: Datastream database)
10. Number of stocks in portfolios: Number of stocks included each year in Japan_25_Portfolios_MV_PTBV, Japan_25_Portfolios_MV_PE and Japan_50_Portfolios_SECTOR. (Raw data source: Datastream database)

We have produced all return series using the following data from Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) price-to-earnings ratio (PE series), and (vii) industry (SECTOR series). We have used the generic rules suggested by Griffin, Kelly, & Nardari (2010) for excluding non-common equity securities from Datastream data. We also exclude stocks with less than twelve observations. Accordingly, our sample comprises a total number of 5,212 stocks.

REFERENCES:

Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.

The India nuclear power plant equipment market is segmented by Reactor Type (Pressurized Water Reactor, Pressurized Heavy Water Reactor, Other Reactor Types) and Carrier Type (Island Equipment, Auxiliary Equipment, and Research Reactor). The report offers the market size and forecasts for India nuclear power plant equipment (value in USD billion) for all the above segments.

Stock Price Time Series for Public Service Enterprise Group Inc. Public Service Enterprise Group Incorporated, through its subsidiaries, operates in electric and gas utility, and nuclear generation businesses in the United States. It operates through PSE&G and PSEG Power segments. The PSE&G segment transmits electricity; distributes electricity and natural gas to residential, commercial, and industrial customers; and appliance services and repairs to customers through its service territory, as well as invests in solar generation projects, and energy efficiency and related programs. The PSEG Power segment engages in nuclear generation businesses; and supplies power and natural gas to nuclear power plants and gas storage facilities activities. As of December 31, 2024, it had electric transmission and distribution system of 25,000 circuit miles and 869,000 poles; 57 switching stations with an installed capacity of 40,000 megavolt-amperes (MVA), and 234 substations with an installed capacity of 10,750 MVA; four electric distribution headquarters and five electric sub-headquarters; 18,000 miles of gas mains, 12 gas distribution headquarters, two sub-headquarters, and two meter shop, as well as 54 natural gas metering and regulating stations; and 158 MegaWatts defined conditions of installed PV solar capacity. Public Service Enterprise Group Incorporated was founded in 1903 and is based in Newark, New Jersey.

Total-Stockholder-Equity Time Series for CGN Nuclear Technology Development Co Ltd. CGN Nuclear Technology Development Co., Ltd. manufactures and sells cable materials and industrial electron accelerators in China. It provides ground nanoaccelerators, electronic curtain accelerators, DG resonant transformer accelerators, and industrial flaw detection accelerators. The company is also involved in the provision of electron beam treatment of specialty waste; antibiotic residue treatment technology; pharmaceutical wastewater treatment technology; medical sewage and solid waste disposal; park sewage treatment; printing and dyeing wastewater treatment technology; coal chemical coking wastewater treatment technology; chemical wastewater treatment technology; domestic sewage treatment technology; and hazardous waste concentrate treatment services. In addition, it provides new energy, irradiated, elastomer, and synthetic materials; modified polycarbonate and polyester, modified polypropylene, continuous fiber reinforced thermoplastic composites, and melt blown and radiation resistant polypropylene; and proton therapy tumor system equipment, raw materials and parts, radioactive medical isotopes, and hospital and nuclear drug products. Further, the company engages in production and sale of plastic; and real estate development, as well as contracting, irradiation processing, ocean shipping, maritime cargo transportation, ship investment and chartering, fishery, and project construction businesses. The company was formerly known as China Dalian International Cooperation (Group) Holdings Ltd. and changed its name to CGN Nuclear Technology Development Co., Ltd. in February 2017. CGN Nuclear Technology Development Co., Ltd. was founded in 1993 and is based in Shenzhen, China.

Stock Price Time Series for Korea Electric Power Corp. Korea Electric Power Corporation, an integrated electric utility company, engages in the generation, transmission, and distribution of electricity in South Korea and internationally. It operates through Transmission and Distribution, Nuclear Power Generation, Thermal Power Generation, and Others segments. The company generates power from nuclear, coal, oil, liquefied natural gas, internal combustion, combined-cycle, integrated gasification combined cycle, hydro, wind, solar, fuel cell, biogas, and other sources. As of December 31, 2024, the company had a total of 848 generation units, including nuclear, thermal, hydroelectric, and internal combustion units with an installed generation capacity of 85,424 megawatts; transmission system consisted of 35,856 circuit kilometers of lines of 765 kilovolts and others, including high-voltage direct current lines, as well as 925 substations with an installed transformer capacity of 368,758 megavolt-amperes; and distribution system included 148,176 megavolt-amperes of transformer capacity and 10,251,345 units of support with a total line length of 547,850 circuit kilometers. It also provides electricity to residential, commercial, educational, industrial, agricultural, street lighting, and overnight power usage. In addition, the company offers engineering and construction services for utility plant and others; utility plant maintenance, electric power information technology, resources development, facility maintenance, electric meter reading, and security services; and engages in nuclear fuel, fly ashes recycling, utility plants construction and operation, and wood pellet utilization businesses. Korea Electric Power Corporation was founded in 1898 and is headquartered in Naju-Si, South Korea.

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.

NuScale Power (SMR) - Tiny Reactors, Big Potential: A Look at the Future of Nuclear 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 North America Nuclear Power Plant and Equipment Market size was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, exhibiting a CAGR of 3.00">> 3.00 % during the forecasts periods. Key drivers for this market are: 4., Increasing Demand for Natural Gas and Developing Gas Infrastructure 4.; Increasing Offshore Oil & Gas Exploration Activities. Potential restraints include: 4., Adoption of Cleaner Alternatives4.; High Volatility of Crude Oil Prices. Notable trends are: Pressurized Water Reactor (PWR) Type to Dominate the Market.

The Nuclear Medicine Equipment Market is estimated to be valued at USD 2.6 billion in 2025 and is projected to reach USD 3.9 billion by 2035, registering a compound annual growth rate (CAGR) of 4.1% over the forecast period.

Since their IPO on the Nasdaq Stock Market on May 8, 2024, NANO Nuclear Energy's stock price has increased from **** U.S. dollars to **** U.S. dollars as of August 8, 2025, an increase of over *** percent.

Uranium fell to 76.40 USD/Lbs on December 1, 2025, down 0.07% from the previous day. Over the past month, Uranium's price has fallen 5.45%, and is down 1.80% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Uranium - values, historical data, forecasts and news - updated on December of 2025.