Uranium traded flat at 76.55 USD/Lbs on September 18, 2025. Over the past month, Uranium's price has risen 4.29%, but it is still 3.65% lower than a year ago, 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 September of 2025.

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.

Uranium Energy (YCA): The Sun's Yellow Cake, or Just a Fool's Gold Investment?

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

Graph and download economic data for Global price of Uranium (PURANUSDM) from Jan 1990 to Jun 2025 about uranium, World, and price.

Yellow Cake predicted to experience steady growth with moderate risk. Favorable market conditions, increasing demand for uranium, and a strong track record of dividend payments support positive predictions. However, fluctuations in the uranium market and macroeconomic factors pose potential risks to investors.

In December 2024, the global average price per pound of uranium stood at roughly 60.22 U.S. dollars. Uranium prices peaked in June 2007, when it reached 136.22 U.S. dollars per pound. The average annual price of uranium in 2023 was 48.99 U.S. dollars per pound. Global uranium production Uranium is a heavy metal, and it is most commonly used as a nuclear fuel. Nevertheless, due to its high density, it is also used in the manufacturing of yacht keels and as a material for radiation shielding. Over the past 50 years, Kazakhstan and Uzbekistan together dominated uranium production worldwide. Uranium in the future Since uranium is used in the nuclear energy sector, demand has been constantly growing within the last years. Furthermore, the global recoverable resources of uranium increased between 2015 and 2021. Even though this may appear as sufficient to fulfill the increasing need for uranium, it was forecast that by 2035 the uranium demand will largely outpace the supply of this important metal.

If I were to boil the thesis down to a few bullets, I’d say: Uranium is an essential input for nuclear reactors with no substitute. Following the Fukushima disaster, there was a massive supply glut as reactors were taken offline due to safety concerns Now a supply crunch is looming, with a current market deficit of ~40m lbs Nuclear power plants usually contract uranium supplies several years out before their inventory gets run down. Due to the oversupply coming out of the previous cycle, however, they have been purchasing additional supply needs in the spot market instead of contracting years in advance. 13f filings indicate that the power plants’ coverage rates (contracted lbs of uranium supply / lbs of uranium required) are beginning to trend below 100%, indicating utilities have less locked-in supply than they need to keep running their reactors, at a time when market supply is tightening (note utilities typically look to maintain coverage ratios well above 100% to ensure no unforeseen shortfalls) Global demand for uranium is increasing, with ~56 new reactors under construction an a further 99 in planning currently. Nuclear power currently generates ~10% of the world’s electricity but with the closure of coal and fossil fuel power plants due to ESG considerations, nuclear energy is increasingly being seen as the only viable way to make up up the lost energy capacity. Putting all of this together, a fundamental supply/demand imbalance for an essential commodity with price insensitive buyers and ESG tailwinds makes the bull case extremely compelling. But a picture is worth a thousand words, so some historic charts probably best provide a sense of the future upside expected in the next cycle. Using the data of form 8k, at the peak of the previous uranium bull market in 2007 (when there was no supply deficit) the uranium spot price reached ~$136/lb after a run up from ~$15/share at the start of 2004 (~9x increase). Today the current price is ~$42/lb with the view that the price will reach new highs in this coming cycle: Many uranium investors, based on the majority of form 10q, focus on the miners rather than the commodity as being the way to play the new uranium bull market, as these are more levered to price increases in the underlying commodity. The share price for Canadian-based Cameco Corporation (CCO / CCJ, the second largest uranium producer in the world) increased from USD $3/share to $55/share ( ~18x bagger) during the previous bull market from ~2004 – 2007: While Cameco’s performance was impressive, it was not the biggest winner during the previous uranium bull market. Australian miner Paladin Energy ($PALAF) went from AUD $0.01 to AUD $10.70 (~1000x! ) between late 2003 and the market peak in Q1 2007, according to their stock price in Google Sheets: Similar multibagger returns for uranium stocks will be seen again if a new bull market in uranium materializes in the coming 2-3 years when utilities’ uranium supply falls to inoperable levels & they begin contracting again for new supplies. Based on SEC form 4, Paladin in particular is expected to be big winner in any new bull market, as it operates one of the lowest cost uranium mines in the world, the Langer Heinrich mine in Namibia, which was a fully producing mine before being idled in the last bear market. As such, it is a ready-to-go miner rather than a speculative prospect, and so is in a position to immediately capitalise on an uptick in uranium prices and a new contracting cycle with utilities. Given the extent of the structural supply/demand imbalance (which again wasn’t present during the previous bull market) combined with utilities likely becoming forced purchasers of uranium at almost any price, market commentators are forecasting the uranium spot price to reach highs of up to $150/lb, thus enabling the producers to contract at price levels 3x+ the current spot price, driving a massive increase in profitability and cash flows. With some very interesting dynamics and the sprott uranium trust acting as a catalyst, I think the uranium market has the potential to offer a really unique and asymmetric return over the next 2 years. To reproduce this analysis, use this guide on how to get stock price in Excel. You will also need high-quality stock data, I recommend you check out Finnhub Stock Api Cheers!

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.

Uranium Royalty Corp. (UROY): Will the King of Nuclear Energy Power its Way to Success?

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

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.

UEC Uranium Energy Corp. Common Stock

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

Snapshot img

Uranium Market Size 2025-2029

The uranium market size is forecast to increase by USD 2.18 billion at a CAGR of 8.2% between 2024 and 2029.

The market is characterized by the rising adoption of uranium in nuclear weapons and nuclear reactors, presenting significant growth opportunities. This is due to the escalating reliance on renewable energy, and the rise in uranium mining initiatives. Uranium's role as a primary fuel source in nuclear energy generation continues to expand, driven by the increasing demand for clean energy and the depletion of conventional energy resources. However, the market faces substantial challenges due to the high initial and production costs of uranium. These costs, coupled with the volatility in uranium prices, pose significant challenges for market participants.
Additionally, investments in research and development of advanced nuclear technologies, such as small modular reactors and nuclear fusion, could offer potential solutions to the high production costs and supply constraints, positioning these companies at the forefront of the evolving market landscape. To capitalize on the growth opportunities and navigate these challenges effectively, companies must focus on optimizing production costs, exploring alternative sources of uranium, and collaborating with industry peers to share best practices and resources. The market is witnessing significant growth due to the increasing adoption of uranium in nuclear weaponry and nuclear reactors.

What will be the Size of the Uranium Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market is characterized by a complex interplay of factors, including nuclear emergency response, fusion power research, and nuclear weapons proliferation and disarmament. Small modular reactors and advanced reactors are gaining traction as solutions for nuclear energy security, while radioactive tracer and isotope production are essential in various industries, from agriculture to medical imaging. Nuclear fuel reprocessing and spent fuel management are critical aspects of nuclear arms control and non-proliferation efforts. Breeder reactors and nuclear forensics contribute to nuclear security, while radiation therapy, protection, and nuclear medicine imaging advance healthcare applications.
Nuclear energy sustainability is a pressing concern, with the need for effective radioactive waste storage and transportation solutions. The Nuclear Security Summit underscores the importance of addressing nuclear terrorism risks. Nuclear magnetic resonance is a versatile technology with applications in various sectors, from materials science to medical research. Additionally, the production cost of uranium and the prices in the market significantly influence the profitability of nuclear power plants.

How is this Uranium Industry segmented?

The uranium industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Energy
  Military
  Others


Source

  Primary
  Secondary


Application

  Industrial counterweights
  Radiation shielding
  Medical isotopes


Geography

  North America

    US
    Canada
    Mexico


  Europe

    Germany
    Russia
    Ukraine


  APAC

    Australia
    China
    India


  Rest of World (ROW)

By End-user Insights

The energy segment is estimated to witness significant growth during the forecast period. Uranium plays a crucial role in nuclear power generation, supplying fuel for electricity production in power plants around the world. The global shift towards cleaner energy sources and the rising awareness of carbon footprint reduction have fueled the demand for nuclear power. Nuclear power economics have gained significance, leading to increased investment in uranium production and conversion to uranium hexafluoride for enrichment. Uranium mining continues to be a critical aspect of the industry, with safety, regulation, and sustainability being key considerations. Nuclear power plants require stringent safety measures, including radiation detection and shielding, to ensure reliable operation. Nuclear fuel services provide essential support, from fabrication and licensing to decommissioning and waste management.

Uranium oxide is used in fuel assemblies, while uranium metal is essential for nuclear engineering and innovation. Nuclear power infrastructure development, including construction and technology advancements, continues to drive market growth. Despite the challenges of nuclear power regulation and the presence of nuclear weapons, the industry remains committed to nuclear power safety and security. Uranium enrichment and

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.

Energy Fuels Sees Uranium Demand Boosting Shares. (UUUU)

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

View monthly updates and historical trends for Uranium Spot Price. Source: International Monetary Fund. Track economic data with YCharts analytics.

Nuclear Energy Index rose to 46.16 USD on September 18, 2025, up 3.04% from the previous day. Over the past month, Nuclear Energy Index's price has risen 24.89%, and is up 77.06% compared to the same time last year, 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.

Total-Stockholder-Equity Time Series for Uranium Energy Corp. Uranium Energy Corp., together with its subsidiaries, engages in exploration, pre-extraction, extraction, and processing of uranium and titanium concentrates properties in the United States, Canada, and the Republic of Paraguay. The company owns interests in the Allemand-Ross, Antelope, Barge, Black Hills, Brown Ranch, Bull Springs, Central Shirly Basin, Charlie, Christensen Ranch, Clarkson Hills, Crooks Creek, Crook's Mountain, Crossroads, Cyclone Rim, East Shirley Basin, Gas Hills, Horse Creek, Irigaray, Jab/West Jab, Ludeman, Moore Ranch, Mule Creek, Niles Ranch, Nine Mile Lake, Pine Ridge, Pine Tree U1, Pumpkin Creek, Red Rim, Reno Creek, Ross Flats, Sand Creek, South Pine Ridge, South Reno Creek, South Sweetwater, Stewart Creek, Taylor Ranch, Twin Buttes, West Beaver Rim, West Crook's Creek, and West Sweetwater properties located in Wyoming, the United States; and Burke Hollow, Goliad, La Palangana, Salvo, and Longhorn projects situated in Texas. It also owns the Anderson, Los Cuatros, and Workman Creek mines located in Arizona; C de Baca and Dalton Pass projects situated in New Mexico; Alexandra, Beatty River, Black Lake, Brander Lake, Candle Lake, Carswell, Christie Lake, Close Lake, Cree Extension, Diabase Peninsula, Erica, Henday, Hidden Bay, Horseshoe-Raven, Key West, Laurie, Millennium, Milliken, Mirror River, Moon Lake, Moore Tomblin, Nikita, Riou Lake, Roughrider, Shea Creek, Uchrich, Waterfound River, West Bear, Wheeler River, and Wolly properties located in Saskatchewan, Canada; and Kiggavik project situated in Nunavut, and the Yutty and Oviedo properties located in Paraguay, as well as owns and operates a processing plants and facilities, consisting of Irigaray Central and Christensen Ranch in Wyoming; and Hobson Central in Texas. The company was formerly known as Carlin Gold Inc. and changed its name to Uranium Energy Corp. in January 2005. Uranium Energy Corp. was incorporated in 2003 and is headquartered in Corpus Christi, Texas.

The global uranium fuel core market is poised for significant growth, driven by the increasing demand for nuclear energy as a reliable and low-carbon power source. The resurgence of nuclear power in several countries, coupled with aging nuclear infrastructure requiring upgrades and replacements, is fueling this expansion. While regulatory hurdles and public perception remain challenges, advancements in reactor technology, including smaller modular reactors (SMRs), are mitigating these concerns and opening new market avenues. The market is segmented by application (nuclear energy, military, others) and type (enriched uranium dioxide, natural uranium dioxide), with nuclear energy dominating the application segment. Enriched uranium dioxide holds a larger share in the type segment due to its higher energy density. Geographically, North America and Europe currently hold substantial market share, but Asia-Pacific is projected to witness robust growth fueled by increasing energy demand and nuclear power plant construction in countries like China and India. Competition within the market is intense, with established players like Westinghouse Electric Company and Rosatom alongside emerging players continuously innovating and competing for market share. While fluctuating uranium prices and stringent safety regulations pose challenges, the long-term outlook for the uranium fuel core market remains positive, supported by the global push for clean energy solutions and stable government policies favoring nuclear power in many regions. The projected Compound Annual Growth Rate (CAGR) suggests a sustained expansion throughout the forecast period (2025-2033). This growth will likely be influenced by factors such as government investment in nuclear energy infrastructure, technological advancements in uranium enrichment and fuel fabrication, and the ongoing global energy transition. The market's growth trajectory will hinge on the successful deployment of new reactor technologies and a favorable regulatory environment. Furthermore, the successful management of spent nuclear fuel and the continuous advancement of safety measures are critical for sustaining the market’s growth. Continued investment in research and development, especially in areas such as accident-tolerant fuels and advanced reactor designs, will be essential for maintaining a competitive edge and driving further market expansion. The market is witnessing a gradual shift towards more efficient and safer fuel designs, leading to increased utilization of enriched uranium dioxide. However, the market’s susceptibility to global political instability and fluctuating uranium prices demands a comprehensive risk assessment and strategic planning by all market players.

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.

Berkeley Energia (BKY) Uranium Boom: Riding the Nuclear Wave

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

Liabilities-and-Stockholders-Equity Time Series for Cameco Corp. Cameco Corporation provides uranium for the generation of electricity. It operates through three segments: Uranium, Fuel Services, and Westinghouse. The Uranium segment engages in the exploration for, mining, milling, purchase, and sale of uranium concentrate. The Fuel Services segment is involved in the refining, conversion, and fabrication of uranium concentrate, as well as purchase and sale of conversion services. The Westinghouse segment operates as a nuclear reactor technology original equipment manufacturer and a provider of products and services to commercial utilities and government agencies. It also provides outage and maintenance, engineering support, instrumentation and control equipment, and plant modification services, as well as components and parts to nuclear reactors. The company sells its uranium and fuel products and services to nuclear utilities in the Americas, Europe, and Asia. Cameco Corporation was incorporated in 1987 and is based in Saskatoon, Canada.

The global uranium mining market is poised for substantial growth, driven by the resurgence of nuclear power as a clean energy source and increasing demand from various applications. While precise figures for market size and CAGR are absent from the provided data, a reasonable estimation can be made based on industry reports and trends. Considering the current global energy transition and the long-term contracts involved in uranium supply, a conservative estimate would place the 2025 market size at approximately $15 billion USD. Assuming a moderate growth trajectory aligned with projected nuclear power expansion, a compound annual growth rate (CAGR) of 4-6% for the forecast period (2025-2033) seems plausible. This growth is fueled by several key drivers: the increasing focus on carbon-neutral energy solutions, necessitating the expansion of nuclear power plants; advancements in uranium mining technologies leading to enhanced efficiency and reduced costs; and the gradual depletion of existing uranium reserves, driving exploration and investment in new mining projects. However, the market faces certain restraints including fluctuating uranium prices, environmental regulations concerning nuclear waste disposal, and geopolitical factors impacting international trade and supply chains. Segmentation analysis reveals that the electricity sector accounts for the largest share of uranium consumption, followed by the military and medical sectors. Key players like Cameco, Kazatomprom, and CNNC dominate the market landscape, with significant operations concentrated in regions such as North America, Asia-Pacific, and Central Asia. The market is also segmented by deposit types, reflecting the geological diversity of uranium sources. The competitive landscape is dynamic, with both established players and emerging companies vying for market share. Future market dynamics will likely hinge on policy decisions regarding nuclear energy, technological innovations in mining and processing, and global economic conditions. Strategic partnerships and mergers and acquisitions will play a crucial role in shaping the future of the uranium mining industry. Successful companies will be those that can effectively navigate environmental regulations, secure long-term contracts, and optimize their operations to meet growing demand while maintaining cost-effectiveness and sustainability. Continued investment in exploration and development is vital for ensuring the long-term viability of the industry.

enCore Energy Corp. Common Shares stock may experience growth potential due to positive market sentiment surrounding the nuclear energy sector. The company's focus on uranium production positions it well to capitalize on increasing demand for nuclear power as a clean energy source. However, regulatory challenges, competition from established players, and fluctuating uranium prices pose potential risks that could impact its financial performance and stock value.

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.

(AURA) Aura Energy: Uranium Powerhouse or Fading Hope?

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 global Uranium Dioxide Fuel Pellets market is experiencing robust growth, driven by the increasing demand for nuclear energy as a reliable and low-carbon power source. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033, reaching an estimated value of $4.2 billion by 2033. This growth is fueled by several factors, including the ongoing expansion of existing nuclear power plants and the construction of new facilities, particularly in Asia-Pacific and emerging economies. Government policies supporting nuclear energy as a clean energy alternative further contribute to the market's expansion. However, the market faces certain restraints, including concerns about nuclear waste disposal and safety, as well as fluctuating uranium prices. Segmentation reveals a significant portion of the market is driven by the Light Water Reactor (LWR) application, with an increasing adoption of advanced reactor technologies anticipated in the coming years. Key players in the market, such as Areva S.A., Hitachi-GE Nuclear Energy, and Westinghouse Electric Company LLC, are constantly innovating to improve pellet performance and efficiency, driving competition and further market growth. The regional breakdown shows a significant market share held by North America and Europe, driven by the established nuclear power infrastructure in these regions. However, Asia Pacific is projected to demonstrate the highest growth rate over the forecast period due to increasing energy demands and government initiatives supporting nuclear power development. While specific market shares for each region are not explicitly provided, it's reasonable to infer a larger share for North America and Europe initially, with a progressive shift towards a larger share for the Asia-Pacific region as their nuclear power infrastructure expands. This is supported by the ongoing construction of new nuclear plants in several Asian countries. Continued advancements in fuel pellet technology and the overall need for clean and reliable energy will be pivotal for sustaining this market expansion.