Cobalt traded flat at 33,335 USD/T on July 10, 2025. Over the past month, Cobalt's price has remained flat, but it is still 22.78% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cobalt - values, historical data, forecasts and news - updated on July of 2025.

Canada Mineral Inventory: Cobalt: Refined data was reported at 134,487.000 kg in Dec 2020. This records a decrease from the previous number of 144,236.000 kg for Nov 2020. Canada Mineral Inventory: Cobalt: Refined data is updated monthly, averaging 141,238.000 kg from Jan 2020 (Median) to Dec 2020, with 12 observations. The data reached an all-time high of 301,723.000 kg in Jun 2020 and a record low of 117,517.000 kg in Jan 2020. Canada Mineral Inventory: Cobalt: Refined data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.C022: Mineral Inventory: Metallic.

Zhejiang Huayou Cobalt stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Cobalt (Co) is often a scarce but essential micronutrient for marine plankton in the Southern Ocean and coastal Antarctic seas where dissolved cobalt (dCo) concentrations can be extremely low. This dataset presents total dCo and labile dCo distributions measured via shipboard voltammetry in the Amundsen Sea, Ross Sea, and Terra Nova Bay during the CICLOPS (Cobalamin and Iron Co-Limitation of Phytoplankton Species) expedition on RVIB Nathaniel B. Palmer (NBP1801). The resulting profiles indicate that a significantly smaller dCo inventory was observed during the 2017/2018 CICLOPS expedition compared to the 2005/2006 CORSAC expeditions to the Ross Sea over a decade earlier. The dCo inventory loss (~10–20 pM) was present in both the surface and deep ocean and can be attributed to the loss of labile dCo, resulting in the near-100% strong ligand-bound complexation of dCo in the photic zone. This perturbation of the Southern Ocean cobalt biogeochemical cycle could signal changes in the nutrient limitation regimes, phytoplankton bloom composition, and carbon sequestration sink of the Southern Ocean.

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.

COB COBALT BLUE HOLDINGS LIMITED

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

A list of the top 50 Cobalt Capital Management holdings showing which stocks are owned by Wayne Cooperman's hedge fund.

IntroductionCobalt is a mitochondrial toxin, clinical cobaltism manifests with constitutional, neurologic, and cardiovascular symptomatology. Cobalt’s severe toxidrome is known through case reports from extreme wear or corrosion of cobalt-chromium arthroplasty components. However, the spectrum and epidemiology of orthopedic-implant cobaltism and its relationship to duration and degree of cobalt exposure are not well defined.MethodsThe relationship of urine-cobalt concentration and duration of exposure to cobalt-chromium joint implants and cobaltism symptomatology were prospectively studied in 229 patients. Subjects received a Cobaltism-Symptom-Inventory-Score (CSIS) based on a protocolized interview and examination followed by a spot urine-cobalt measurement.Results129 (56%) subjects were cobalturic (urine-cobalt ≥1.0 ppb). 122 (53%) subjects had a CSIS of >2, this status significantly associates with cobalturia. Median [IQR] urine-cobalt in the subjects with a CSIS >2 was 4.1[1.1–17.0] ppb compared to 0.5[0.5–1.4] ppb in subjects with CSIS ≤ 2. Cobalturia has a sensitivity of 0.69, a specificity of 0.77, and a positive predictive value of 0.74 for a CSIS of >2. The product of years-exposed to a cobalt-chromium implant and urine-cobalt by quartiles significantly positively associates with the Cobaltism-Symptom-Inventory-Score.ConclusionA urine-cobalt of ≥1 ppb likely indicates adverse systemic exposure to orthopedic-implant generated cobalt. Cobaltism severity as quantified by the CSIS significantly correlates with the product of spot urine-cobalt concentration and years-exposed to a cobalt-chromium orthopedic-implant indicating a dose-response relationship. Medical provider and public awareness of orthopedic-implant cobaltism is vital because tens-of-millions are at-risk and early cobaltism is reversible. Further use of cobalt-chromium orthopedic-implants should be questioned given cobaltism becomes clinically apparent at a spot urine-cobalt of 1 ppb or greater. Monitoring of patients with high-risk cobalt-chromium orthopedic-implants appears to be indicated.

The control of nanocrystal structures at will is still a challenge, despite the recent progress of colloidal synthetic procedures. It is common knowledge that even small modifications of the reaction parameters during synthesis can alter the characteristics of the resulting nano-objects. In this work we report an unexpected factor which determines the structure of cobalt nanoparticles. Nanocrystals of distinctly different sizes and shapes have resulted from stock solutions containing exactly the same concentrations of [Co{N(SiMe3)2}2(thf)], hexadecylamine, and lauric acid. The reduction reaction itself has been performed under identical conditions. In an effort to explain these differences and to analyze the reaction components and any molecular intermediates, we have discovered that the rate at which the cobalt precursor is added to the ligand solution during the stock solution preparation at room temperature becomes determinant by triggering off a nonanticipated side reaction which consumes part of the lauric acid, the main stabilizing ligand, transforming it to a silyl ester. Thus, an innocent mixing, apparently not related to the main reaction which produces the nanoparticles, becomes the parameter which in fine defines nanocrystal characteristics. This side reaction affects in a similar way the morphology of iron nanoparticles prepared from an analogous iron precursor and the same long chain stabilizing ligands. Side reactions are potentially operational in a great number of systems yielding nanocrystals, despite the fact that they are very rarely mentioned in the literature.

Zhejiang Huayo reported 16B in Operating Expenses for its fiscal quarter ending in March of 2025. Data for Zhejiang Huayou Cobalt | 603799 - Operating Expenses including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Despite the scarcity of cobalt in the global ocean, it plays important roles in some cellular functions, both in its role as a central factor in vitamin B12, and as an inorganic protein cofactor. Consequently, its distribution and speciation in marine environments is an important factor in understanding the activity of marine biota. Dissolved cobalt often displays a 'hybrid' profile type, with biological uptake dominating in the surface waters and removal by scavenging onto particles in the mesopelagic and below. These scavenging processes limit the accumulation of dissolved Co in the deep ocean. The relative contributions of scavenging and surface biological uptake are variable regionally due to both chemical and biological factors: recent research shows that dCo inventories may be intimately tied to the manganese redox cycle and formation of Mn oxides, and thus is heavily influenced by oxygen availability and local microbial community structure. Variability in Co usage - and by extension, its stoichiometry with respect to macronutrients - could be the result of differing uses of and needs for Co-utilizing metalloenzymes between taxa, and the plasticity of individual organisms with regards to metal availability. This dataset includes dissolved total (dCo) and labile Co (lCo) measurements from the GP17-OCE expedition, which occurred from 1 December 2022 to 25 January 2023, and traversed the South Pacific and a portion of the Southern Ocean. dCo samples are UV-irradiated before measurement, and so include both ligand bound and free Co. lCo samples are not UV-irradiated, thus represent the free Co inventory and that which is very weakly bound. lCo can be considered as the more bioavailable fraction. These samples were analyzed using competitive ligand exchange cathodic stripping voltammetry with a hanging mercury drop electrode. The dissolved Co distribution is understudied in much of the ocean, including the Southern Ocean. Given the contribution of the Southern Ocean to global deep water formation, the influences on the dCo inventory in this region likely impact Co supply in all ocean basins.

Comparison of subjects with lower half product of urine-cobalt and Years-Exposed (YE) with Cobaltism-Symptom-Inventory-Score (CSIS) with third and fourth quartiles.

Metal quotas of two NE Pacific Line P diatom isolates and one Atlantic diatom isolate measured via ICP-MS after growth in zinc and cobalt media amendments. Experiments with cultures collected from the GeoMICS expedition on the R/V Thomas G. Thompson (cruise TN280), along Line P in the NE Pacific, in May of 2012. access_formats=.htmlTable,.csv,.json,.mat,.nc,.tsv acquisition_description=Location: Cultures collected from Northeast Pacific Line P Transect 48.8167 N 128.667 W

Metal quotas
Cellular metal quotas were measured by inductively coupled plasma mass spectrometry (ICP-MS). Biomass from replicate 25 mL matrix cultures of P. tricornutum CCMP632, P. delicatissima UNC1205, and Thalassiosira UNC1203 were pooled upon entering stationary phase and were centrifuged at 11,000 RPM (14,610 x g) for 40 minutes at 4\u00b0C. The cell pellet was resuspended in ~1 mL media and transferred to an acid-cleaned microcentrifuge tube. Cultures were centrifuged again for 30 min at 14,100 RPM (13,336 x g) at 4\u00b0C before the supernatant was discarded. The remaining cell pellet was acidified in 800 L of 5% nitric acid (Optima) containing 1 ppb indium for at least seven days. Solids were removed by centrifugation. No attempt was made to remove extracellular metals by washing cells with additional metal chelators in order to minimize processing blanks. Quota determinations therefore include contributions from both intracellular and extracellular pools. Process blank digestions containing acid but no cells were performed in parallel. Digests were diluted by a factor of 9 with 5% nitric acid 1 ppb indium solution before being analyzed in duplicate on a Thermo ICAP-Q plasma mass spectrometer calibrated to a multi-element standard curve (Spex Certiprep) over a range of 1 \u2013 20 ppb. Samples were analyzed in KED mode after an 85s sample uptake window and element mass windows were scanned 3 times during measurements. The 1 ppb indium internal standard was used to correct for variation in sample delivery and plasma suppression between samples. Process blanks were subtracted from measured concentrations. Phosphorus concentrations were also measured by ICP-MS simultaneously and were calibrated to a standard curve ranging from 100 \u2013 3,200 ppb using a 1 ppm certified P stock (Alfa Aesar Specpure). The seawater media base used for all growth experiments was similarly analyzed via ICP-MS using a 1:10 dilution of media base into 5% nitric acid 1 ppb indium and analyzed as above to determine background media concentrations of total Zn and Co (0.9 nmol L-1 and 0.1 nmol L-1, respectively).

Missing data identifiers in this dataset include:
* "nd" indicating no data
* Below Detection
* "contam" indicating the sample was contaminated

Isolation sources and locations
* Pseudonitzschia delicatissima UNC1205 and Thalassiosira UNC1203 were isolated from
station P8 of the Line P transect, 48.817\uf0b0N 128.666\uf0b0W
* Phaeodactylum tricornutum CCMP632 was ordered from Bigelow, the strains original
location of isolation was 54\uf0b0N 4\uf0b0W
* Thalassiosira pseudonana CCMP1335 was also from Bigelow, original location of
isolation was 40.756\u00b0 N 72.82\u00b0 W awards_0_award_nid=646122 awards_0_award_number=GBMF3782 awards_0_data_url=https://www.moore.org/grant-detail?grantId=GBMF3782 awards_0_funder_name=Gordon and Betty Moore Foundation: Marine Microbiology Initiative awards_0_funding_acronym=MMI awards_0_funding_source_nid=385 awards_1_award_nid=785825 awards_1_award_number=OCE-1736599 awards_1_data_url=http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1736599 awards_1_funder_name=NSF Division of Ocean Sciences awards_1_funding_acronym=NSF OCE awards_1_funding_source_nid=355 awards_1_program_manager=Henrietta N Edmonds awards_1_program_manager_nid=51517 cdm_data_type=Other comment=Line P Metal quotas PI: Mak Saito Data Version 1: 2020-03-31 Conventions=COARDS, CF-1.6, ACDD-1.3 data_source=extract_data_as_tsv version 2.3 19 Dec 2019 defaultDataQuery=&time<now doi=10.26008/1912/bco-dmo.807299.1 infoUrl=https://www.bco-dmo.org/dataset/807299 institution=BCO-DMO instruments_0_acronym=Mass Spec instruments_0_dataset_instrument_nid=807325 instruments_0_description=General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components. instruments_0_instrument_external_identifier=https://vocab.nerc.ac.uk/collection/L05/current/LAB16/ instruments_0_instrument_name=Mass Spectrometer instruments_0_instrument_nid=685 instruments_0_supplied_name=Thermo ICAP-Q plasma mass spectrometer metadata_source=https://www.bco-dmo.org/api/dataset/807299 param_mapping={'807299': {}} parameter_source=https://www.bco-dmo.org/mapserver/dataset/807299/parameters people_0_affiliation=Woods Hole Oceanographic Institution people_0_affiliation_acronym=WHOI people_0_person_name=Mak A. Saito people_0_person_nid=50985 people_0_role=Principal Investigator people_0_role_type=originator people_1_affiliation=Woods Hole Oceanographic Institution people_1_affiliation_acronym=WHOI BCO-DMO people_1_person_name=Amber York people_1_person_nid=643627 people_1_role=BCO-DMO Data Manager people_1_role_type=related project=PMT Cobalt and Metalloenzymes,MM Saito projects_0_acronym=PMT Cobalt and Metalloenzymes projects_0_description=NSF abstract: Cobalt is important for many forms of marine life, yet it is one of the scarcest nutrients in the sea. Cobalt's oceanic abundance and distribution, along with other scarce nutrients, can influence the growth of microscopic plants (phytoplankton). This in turn can influence carbon cycles in the ocean and atmosphere. Therefore, knowledge of the controls on cobalt's abundance and chemical forms in seawater is a valuable component of our ability to understand the ocean's influence on global carbon cycling. Within phytoplankton and other marine microbes, metals such as cobalt, iron, nickel, and copper are used as critical components of enzymes responsible for key cellular reactions. Since these enzymes require metals to work, they are named metalloenzymes. Participating in a Pacific Ocean cruise from Alaska to Tahiti, this project will study the oceanic distributions of dissolved cobalt and the cellular content of a group of metalloenzymes known to influence biogeochemical cycles. The project will provide scientific impact by creating new knowledge about oceanic micronutrients in regions of economic interest with regard to fisheries and deep-sea mining. Measurement of proteins in the North Pacific will provide data of broad biological and chemical interest and will be made available through a new NSF-funded "EarthCube Ocean Protein Portal" data base. Educational impact will stem from participation of a graduate student and two young technicians, as well as the PI's development of a high school chemistry curriculum for use in two local high schools, thus allowing teachers to include real oceanic and environmental data at their first introduction to chemistry. Cobalt has a complex biogeochemical cycle. Both its inorganic and organic forms are used by biology in the upper ocean and it is removed from solution by being scavenged in the intermediate and deep ocean. This scavenging removal results in cobalt having the smallest oceanic inventory of any biologically utilized element. Recent studies, however, have found that large dissolved cobalt plumes occur in major oxygen minimum zones due to a combination of less scavenging and additions from sedimentary and remineralization fluxes. The GP15 US GEOTRACES Pacific Meridional Transect (PMT) provides an opportunity to examine the influence of oxygen depletion on cobalt chemistry. Moreover, the study of the protein component of microbial communities using new proteomic techniques will provide evidence of how different major microorganisms respond to the chemical environment (e.g. through transporter production for specific nutrients and micronutrients) as well as the biochemical basis for metal requirements related to the use of specific metalloenzymes. Specifically, the PMT provides an opportunity to confirm that the Pacific oxygen minimum zones contain a large amount of cobalt and to test the hypotheses that simultaneous zinc scarcity could induce wide-scale biochemical substitution of cobalt for zinc in the North Pacific Ocean. projects_0_end_date=2019-10 projects_0_geolocation=Laboratory Study and Cultures from Northeast Pacific Line P Transect 48.8167 N 128.667 W projects_0_name=US GEOTRACES PMT: Cobalt Biogeochemical Cycling and Connections to Metalloenzymes in the Pacific Ocean projects_0_project_nid=785826 projects_0_start_date=2017-11 projects_1_acronym=MM Saito projects_1_description=In support of obtaining deeper knowledge of major biogeochemically relevant proteins to inform a mechanistic understanding of global marine biogeochemical cycles. projects_1_end_date=2019-12 projects_1_name=Marine Microbial Investigator Award: Investigator Mak Saito projects_1_project_nid=786672 projects_1_start_date=2013-05 sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v55 version=1 xml_source=osprey2erddap.update_xml() v1.3

This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Yavapai641B is located in T14N R2E Sec 8 SE in the Humboldt - 7.5 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.

Zhejiang Huayo reported 62.69B in Debt for its fiscal quarter ending in March of 2025. Data for Zhejiang Huayou Cobalt | 603799 - Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Zhejiang Huayo reported 141.46B in Assets for its fiscal quarter ending in March of 2025. Data for Zhejiang Huayou Cobalt | 603799 - Assets including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Online update experiments with Sumitomo.

The best performance of each company is bolded.

The files in this dataset contain daily mean chlorophyll (µg/kg), pH, nitrate (mol/kg), dissolved oxygen (mol/kg), potential temperature (˚C) and salinity model outputs for 2013 for the region between 20-55˚N, 135-111˚W. Data was extracted from a global grid run with coupled ocean-ice model configured using the Modular Ocean Model 6 (MOM6, https://github.com/NOAA-GFDL/MOM6 ) and Sea Ice Simulator (SIS2) developed at the NOAA Geophysical Fluid Dynamics Laboratory (Adcroft et al., 2019). The horizontal resolution of the grid is 1/8˚, which is considered eddying and no eddy parameterization was included. Vertically, the model uses 75 hybrid vertical-sigma2 layer coordinates that is remapped onto 35 World Ocean Atlas/Coupled Model Intercomparison Project standard depth levels. The atmospheric forcing was derived from the Japanese 55-year Reanalysis version 1.5 (JRA55 1.5, https://jra.kishou.go.jp/JRA-55/index_en.html#jra-55). The model is driven by river freshwater runoff from a monthly climatology derived from Dai and Trenberth (2002) and Dai et al. (2009), which can be assessed at https://rda.ucar.edu/datasets/ds551.0/. A remapping scheme was used to add freshwater into the appropriate coastal grid cells near the river mouths. The biogeochemical model used was the Carbon, Ocean Biogeochemistry and Lower Trophics (COBALTv2, Stock et al., 2020), which uses 33 tracers for representation of coupled elemental cycles of carbon, nitrogen, phosphorus, iron, silicon, alkalinity, oxygen and lithogenic matter and associated plankton food web dynamics. More details about the model setup are described in Liu et al. (2019) and Liu et al. (2021). This work was part of a PMEL-led project "A Pilot BGC Argo Float Array in the California Current Large Marine Ecosystem" funded by NOAA Research.

References:

Adcroft, A., Anderson, W., Blanton, C., Bushuk, M., Dufour, C.O., Dunne, J.P., Griffies, S.M. et al. (2019). The GFDL Global Ocean and Sea Ice Model OM4.0: Model description and simulation features. Journal of Advances in Modeling Earth System, doi: 10.1029/2019MS001726

Dai, A., T. Qian, K. E. Trenberth, and J. D Milliman, 2009: Changes in continental freshwater discharge from 1948-2004. J. Climate, 22, 2773-2791

Dai, A., and K. E. Trenberth, 2002: Estimates of freshwater discharge from continents: Latitudinal and seasonal variations. J. Hydrometeorol., 3, 660-687

Liu, X., Dunne, J.P., Stock, C. A., Harrison, M.J., Adcroft, A., Resplandy, L. (2019). Simulating Water Residence Time in the Coastal Ocean: A Global Perspective. Geophysical Research Letters, 46, 22, 13910-13919. Doi:10.1029/2019GL085097

Liu, X., Stock, C.A., Dunne, J.P., Lee, M., Shevliakova, E., Malyshev, S., Milly, P.C.D (2021). Simulated Global Coastal Ecosystem Responses to a Half-Century Increase in River Nitrogen Loads.

Stock, C. A., Dunne, J. P., Fan, S., Ginoux, P., John, J., Krasting, J. P., et al. (2020). Ocean biogeochemistry in GFDL's Earth System Model 4.1 and its response to increasing atmospheric CO₂. Journal of Advances in Modeling Earth Systems, 12, e2019MS002043. https://doi.org/10.1029/2019MS002043

Zhejiang Huayo reported 2.56B in Gross Profit on Sales for its fiscal quarter ending in March of 2025. Data for Zhejiang Huayou Cobalt | 603799 - Gross Profit On Sales including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Zhejiang Huayou Cobalt reported 2.94 in Dividend Yield for its fiscal quarter ending in March of 2025. Data for Zhejiang Huayou Cobalt | 603799 - Dividend Yield including historical, tables and charts were last updated by Trading Economics this last July in 2025.