Uranium traded flat at 72.30 USD/Lbs on July 15, 2025. Over the past month, Uranium's price has fallen 5.12%, and is down 15.54% 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 July of 2025.

Uranium Prices: 35 years of historical data from 1990 to 2025.

📈 Daily Historical Stock Price Data for Elevate Uranium Ltd (1988–2025)

A clean, ready-to-use dataset containing daily stock prices for Elevate Uranium Ltd from 1988-01-29 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Elevate Uranium Ltd Ticker Symbol: EL8.AX Date Range: 1988-01-29 to 2025-05-28 Frequency: Daily Total Records: 9571 rows (one per trading… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-elevate-uranium-ltd-19882025.

Nuclear Energy Index rose to 38.15 USD on July 14, 2025, up 1.14% from the previous day. Over the past month, Nuclear Energy Index's price has fallen 0.78%, but it is still 22.35% 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.

This time I deided to pay attention on the changes in metal prices within last 30 year. The most popular and interesting in visualization metals prices were tacken: Gold, Aluminium, Silver, Uranium and Nickel Don't forget to check out my previous "Price Changes within last 30 Years" datasets: 🌽 Cerial Prices Changes Within Last 30 Years ☕Coffee, Rice and Beef Prices Changes for 30 Years

Uranium 2020: Resources, Production and Demand Table 1.2a. Identified resources (recoverable)(as of 1 January 2019, tonnes U, rounded to nearest 100 tonnes).* Secretariat estimate. (a) Not reported in 2019 responses, data from previous Red Book. (b) Assessment partially made within the last five years.(c) Assessment not made within the last five years. (d) In situ resources were adjusted by the Secretariat to estimate recoverable resources using recovery factors provided by countries or estimated by the Secretariat. (e) Cost data not provided, therefore resources are reported in the <USD 260/kgU category. (f) Updated to report recoverable resources.(g) Totals related to cost ranges <USD 40/kgU and <USD 80/kgU should be regarded with some caution since certain countries do not report low-cost resource estimates, mainly for confidentiality concerns, whereas othercountries that have never, or not recently hosted uranium mining, may be underestimating mining costs.

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

Data was compiled from published sources by US Geological Survey geoscientists Mark J. Mihalasky, Susan M. Hall and Robert A. Zielinski. This dataset was provided to the U.S. Energy Information Administration in February of 2019 to facilitate updating of national uranium resource distribution maps. Some sedimentary phosphate deposits contain trace uranium. Historically when uranium prices were high enough, this uranium was extracted as part of the phosphate mining process. In 2019 no uranium is being commercially extracted as part of phosphate mining in the United States. The location of uraniferous phosphate deposits within the United States is shown on this layer.Details and location information is from:DeVoto, R.H.; Stevens, D.N. (eds.), 1979, Uraniferous phosphate resources and technology and economics of uranium recovery from phosphate resources, United States and free world; GJBX-110(79), Volume 1, 724 p. Volume 2, 50 p. plus plates.

Aeromagnetic and aeroradiometric data were collected along flight lines by instruments in an aircraft that recorded magnetic-field and radiometric values and locations. The magnetic data set presents latitude, longitude, altitude, and magnetic-field values. Geologic symbols or codes are also included. The geologic symbols were picked from surficial geologic maps. The radiometric data set presents latitude, longitude, altitude, geologic symbols or codes, apparent Uranium (Bismuth 214), Thorium (Thallium 208), and Potassium (K 40), the element ratios, and ancillary information.

Central Asia, site of the historic Silk Road trade network, has long been a conduit for the movement of people, energy, and mineral resources between Europe and Asia. Once part of the former Soviet Union, this region was and continues to be an important producer of base and precious metals, rare metals (RM), including niobium, tantalum, and beryllium, and a past producer of rare earth elements (REE). The Tien Shan and Pamir Mountains regions, encompassing parts of Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan, and Turkmenistan, are of significant interest for mineral exploration as these regions are thought to host substantial undeveloped and undiscovered resources of REE and RM. Based on this legacy, and as an emerging REE and RM producing region, the Central Asian countries are implementing mining sector reforms to create a more attractive investment environment for domestic and foreign mining interests. During the most recent increase in REE prices, beginning in 2009 and culminating in a dramatic price spike in 2011, much mineral exploration activity for REE was undertaken in Kazakhstan, Kyrgyzstan, and Tajikistan. In order to assess the mineral potential for REE in Central Asia, the U.S. Geological Survey began in 2012 compiling an inventory of REE-RM occurrences in that region. These occurrences range in development status from mineral showings to previously developed deposits. Completed in 2016, the inventory consists of 384 REE-RM occurrences, including 160 in Kazakhstan, 75 in Kyrgyzstan, 60 in Tajikistan, 2 in Turkmenistan, and 87 in Uzbekistan. The inventory dataset includes detailed information on location, mineral deposit type, geology, production, resources, and development status. Four important groups of REE-RM mineral deposit types were recognized: (1) carbonatite and alkaline igneous rock-related deposits; (2) pegmatite and skarn/greisen deposits; (3) weathered-crust deposits, including laterite, derived from weathering of other REE-RM mineral deposits; and (4) sediment-hosted uranium deposits. This inventory is released as a database in two formats, a Microsoft Excel workbook and an ESRI ArcGIS 10.5 point feature class dataset built from the Excel workbook. The Excel workbook also includes data field definitions, explanations of the terminology and abbreviations, and references.

Electric power generation, fuel consumed, and cost of fuel. Fuels include coal, petroleum products, uranium and others. Data presented at the national and provincial levels, however not all combinations are available.

This dataset was derived using 50m gridded radiometrics data including:

Plain raster images of individual channels (TC, K, Th & U) Individual channels (TC, K, Th & U) draped over topography RGB false colour images of K (red), Th (green) and U (blue) with and without topography and lineaments and compared to topography and lineaments.

(where Total Count - TC, Potassium - K, Thorium - Th and Uranium -U) .

The interpretation was completed on a regional or sub-regional scale using geophysical remote sensing techniques. By combining the radiometrics and topography datasets, a pseudo-geomorphology is created. The radiometrics respond to soil cover in first the 0.5m of depth. As soils may change across small fault boundaries, radiometric lineaments bear the best relationship with topographic lineaments. From the various radiometric outputs the following key observations have been made:

The ENE-WSW lineaments are evident but not as extensively as in the interpreted topographic dataset; The NNW-SSE lineament datasets is most dominant in the radiometric data; In the Otway Basin, many radiometric lineaments are parallel to the cost and are due to strandlines or basin faults; In the Murray Basin, strandlines are obvious as they are evident in the topographic data; In some cases, the soil radiometric chemistry changes across topographic lineaments, supporting the interpretation of topographic lineaments as evidence of small palaeo-fault movement.

The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

Cost of fuel for electric power generation by fuel type, including coal, propane, uranium, etc. These data are presented at the national and provincial levels, however not all combinations are available.

An area located on the southern edge of the Mesozoic to Tertiary Frome Embayment, 100 km north-west of Olary, which overlies Proterozoic igneous and metamorphic basement of the Curnamona Province, is being explored primarily for possible buried... An area located on the southern edge of the Mesozoic to Tertiary Frome Embayment, 100 km north-west of Olary, which overlies Proterozoic igneous and metamorphic basement of the Curnamona Province, is being explored primarily for possible buried economic copper-gold and base metal mineralisation which may be associated with magnetic features seen in regional aeromagnetic data. Within the licence area lies the Goulds Dam secondary uranium deposit, containing ~2300 t of uranium oxide precipitated as a high grade 'roll-front' lens along a redox interface which is hosted by basal Eocene Eyre Formation fluvial sands of the Billeroo West Palaeochannel. The deposit, which was discovered in 1973 by the Minad-Teton consortium, is covered by a set of contiguous 100-acre Retention Leases, RL nos 83 to 90, which are now held by Southern Cross Resources NL (SXR), and which do not form a part of the subject EL 2286 Goulds Dam. During the first licence year, Rio Tinto did no field work. A literature search was performed to inform the company's intended work programme, to consist initially of ground geophysical surveys. During licence Year 2, Rio reviewed the data from recorded historic exploration activities that had included airborne magnetic and radiometric surveying, prospect-scale ground gravity and resistivity traversing, and extensive shallow rotary mud drilling to search for possible buried Tertiary sedimentary roll-front uranium mineralisation that might have formed within the Curnamona and Billeroo West palaeochannels. This earlier work had led to the delineation of the aforesaid significant uranium resource at Goulds Dam. [Also at this time, in the first half of 1998, exploratory drilling was undertaken by SXR within the Goulds Dam deposit Retention Leases to explore for northward extensions to the deposit. 40 open and cored rotary mud holes were drilled for a total penetration of 5567 m, at a cost in excess of $771,000.] Rio's modelling of lately released SAEI aeromagnetic data from the Parkers Dam magnetic feature located in the south of EL 2286 indicated that a magnetic source body might lie at 862 m depth beneath Phanerozoic and Adelaidean sedimentary cover. This target was deemed to be at too high a risk to drill, since such thick overburden would make any mineral deposit discovered on it economically prohibitive to mine. A similar aeromagnetic feature located a further 15 km to the south-southeast near Telechie Dam had been drilled by the Minad-Teton JV partners in the mid-1980s, and their hole TM9W-1 had encountered magnetic basement (migmatitic granite) beneath 778.65 m thickness of Phanerozoic sediments. On other past tenements in the surrounding Olary Ranges north-western marginal region, previous diamond drill testing of deeply-sourced coincident magnetic/gravity anomaly features looking for Olympic Dam style polymetallic deposits, for Broken Hill type Ag-Pb-Zn deposits and for MVT Pb-Zn mineralisation had revealed that generally the magnetite-bearing metamorphic basement rocks lie beneath several hundred metres thickness of Tertiary +/- Cambrian and Adelaidean sediment cover. It was recommended to Rio's management group that no further work be undertaken within EL 2286, and that the entire licence be surrendered or divested. During licence Year 3, on 17/1/2000, EL 2286 was purchased from Rio Tinto Exploration by Southern Cross Resources Australia Pty Ltd (SXR) to allow the latter to explore the ~40 km long section of the Billeroo Palaeochannel lying within the licence area. SXR had actually begun working on EL 2286 in 1997 using open file data, and had already spent in excess of $54,000 on background exploration activities that comprised data acquisition and digitising, database construction and management, ore reserve calculations, and geophysical data collection and interpretation. This work had been undertaken to allow the drilling data from 343 existing holes, and related maps and calculations of the sub-economic resources revealed to date, to be extrapolated to the boundaries of the Goulds Dam deposit Retention Leases. No field work was done by SXR during the year, while it planned upcoming activities. During licence Year 4, a stratigraphic re-interpretation, begun by SXR in January 2000, was completed in April 2000. Until then, the company's existing drillhole database contained locational details, downhole geophysical logs and grade - thickness information for more than 500 holes, but minimal stratigraphic data. The re-interpretation, based on picks made from geophysical logs, was undertaken in order to compile a consistent stratigraphy to use for modelling and resource estimation. No drillhole cores or cuttings were examined in this study, but historical lithological logs were used for checking purposes. With accompanying reports, they were also the principal source of detailed lithological information. The study resulted in creating a modified stratigraphic nomenclature for the sedimentary fill of the Billeroo Palaeovalley, with all holes re-interpreted. The depositional sequence appeared to be remarkably similar to that of the Yarramba / East Kalkaroo palaeovalleys located 70 km to the east, across a basement ridge. The Billeroo Palaeovalley is quite broad (~1.5 km) and flat in cross section. Thus, a majority of units are represented in most drillholes, with the exception of lowermost units that pinch out towards valley margins. This is not to say there is uniformity across the area. In a fluvial environment over an extended period, there will have been many braided, laterally migrating and meandering channels and associated bars. What is recognised is a stratigraphic framework within which there may be considerable local facies variation, as seen in variable numbers of clay lenses in the Basal Sands and local sub-unit Sands A, B, C, D1 and D2 of Ellis (1976). Uranium mineralisation throughout the system is essentially restricted to the lower units, i.e. the Basal Sands/Clay/Transition zone. Where the Basal Clay is thin, gamma ray log kicks/intercepts often straddle it and peak within it. However, ore grade-thickness zones in adjacent sands correlate with a greater thickness development of the Basal Clay. Both the palaeovalley and present day land surface display similar overall south to north gradients of about 1 m per km. This results in units having relatively constant downhole depths but northerly deepening RLs. The Goulds Dam tenement is an integral part of the Honeymoon Uranium Project ISL mining proposal, and thus was included in SXR's Environmental Impact Statement (EIS, May 2000) and stakeholder review Response Supplement (November 2000). During the latter part of 2000, SXR was obliged to concentrate all of its efforts towards preparing the Goulds Dam portion of the EIS Response Supplement. Then in 2001, all effort was devoted to completing additional EIS work at Honeymoon that was requested by the Commonwealth Government's Minister for Environment and Heritage. During licence Year 5, in November 2001, the Minister for Environment and Heritage approved the EIS, which led to the subsequent issue of a uranium export licence and the granting of a mining lease at Honeymoon in February 2002. SXR spent this year completing engineering and feasibility studies, with a view to commencing commercial uranium solution mining by in situ leaching at some point during 2003. During licence Year 6 (2002-2003), the first of renewed EL 2956, exploration activities comprised: - flying part of a multi-licence airborne electromagnetic survey, using the 25Hz Tempest™ system, over most of the licence area along 38 east-west flight lines 1 km apart, using a sensor 120 m mean terrain clearance height (304 line km of AEM and magnetic data recorded); - performing validation and data entry of original digital gamma ray log data from the 343 existing drillholes, including the capture of calibration data. The estimated and disequilibrium-adjusted cumulative logged U3O8 intersections per hole were recalculated, to arrive at revised aggregated grade-thickness values. Conductivity depth images were generated from the new AEM data by 1D inversion software, to produce a set of gridded CDI maps for 5-metre depth slice increments going from the surface to 275 m below ground. These maps showed that the survey had successfully mapped the concealed Tertiary palaeodrainage, and anomaly features within the dataset highlighted a number of new exploration targets. These targets occurred where it was thought that heterogeneity in the original stream flow paths could have allowed for an increased accumulation of organic material, thus providing the crucial chemical trapping mechanism to precipitate dissolved uranium from groundwater. SXR's re-evaluation of the historic gamma ray logs led it to condemn some of them (all Pacminex (PMX) and Eric Rudd (EAR) drillhole logs) as being unusable for quantitative uranium estimation, and so this lack of definite drillhole intercept information meant that the Goulds Dam prospect was essentially open in most directions. During licence Year 7, no field work was done, but important progress was made offsite when a Prompt Fission Neutron (PFN) well logging tool, having the capability to directly detect and measure the grade of uranium in situ, was built and commissioned by SXR. This technology had originally been developed during the 1970s specifically to accurately measure the uranium concentration in young roll-front deposits where extreme disequilibrium may exist. But its full implementation lay idle for many years when US uranium exploration halted after the Three Mile Island reactor disaster in 1979. Later, under licence, the technology was