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Commodity Data

Commodity data refers to information concerning the commodity market. It is used to gain insights on how the commodity market and the commodities being bought and sold are functioning and traded. Datarade helps you find the best commodity market datas feeds and APIs.

Top Commodity Data APIs, Datasets, and Databases

Find the top commercial Commodity Data sets, feeds and streams.

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Business Wealth (UCC) Data

by Accutrend Data
A UCC lien, or UCC filing, is a notice that a lender has a security interest in one or more of your assets. UCC liens can be filed against businesses or individuals.
Volume41.1M ADC Universe Count, 393K ADC Average Monthly New File Chains
Country
USA
History70 years of past data available
Use CaseCredit Risk Analysis, Competitor Analysis + 3 more
Available Pricing:
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Gold Price Predictions

by Pynk
Unique historical Gold (XAU) price predictions dataset plus the data from subsequent daily price predictions.
Volume1K New Daily Data Points, 70K Historical Data Points
Quality17.52% Abs. Return on Model Portfolio
Country
USA
China
Japan
+ 181 others
History11 months of past data available
Use CaseHedge Funds, Alternative Investment + 3 more
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Vessel Movements

by MariTrace
Filterable configurable interface examining vessel movements from port A to port B for macroeconomic analysis, microeconomic analysis, port analysis, country analysis, vessel market analysis...etc.
History6 years of past data available
Use CaseShip broking, Commodity Movements + 3 more
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Gold Price Signal

by Pynk
Buy-Sell GOLD (XAU) price signals generated by predictions from a growing user base of more than 32,000 users and processed through machine learning, powered by our artificial intelligence system.
Volume32K Users, 1.4K Daily Predictions
Quality17.52% Abs. Return on Model Portfolio
Country
USA
China
Japan
+ 181 others
History11 months of past data available
Use CaseInvesting, Algorithmic Trading + 3 more
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MariTrace Platform

by MariTrace
Web interface to track vessels in near real-time. We monitor hundreds of thousands of vessels worldwide, from tugs to tankers, using a wide network of satellite and terrestrial AIS receivers.
Volume1.8M signals per hour
Use CaseRisk Assessment, Piracy / Security + 2 more
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Bitcoin Price Predictions

by Pynk
Unique historical Bitcoin price predictions dataset plus the data from subsequent daily price predictions.
Volume32K Users, 210K Historical Data Points
Country
USA
China
Japan
+ 181 others
History15 months of past data available
Use CaseAlternative Investment, Hedge Funds + 3 more
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Vessel routing

by MariTrace
Finds a route for a vessel from any point on the earth's oceans, or a port, to any other point.
Use CaseShipping, Vessel Tracking + 2 more
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Bitcoin Price Daily Signal

by Pynk
Buy-Sell Bitcoin price signals generated by predictions from our growing user base of more than 32,000 users and processed through machine learning, powered by our artificial intelligence system.
Volume32K Users, 1.4K Daily Predictions
Country
USA
China
Japan
+ 181 others
History15 months of past data available
Use CaseTrading, Stock Market Predictions + 3 more
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Live and historic vessel positions

by MariTrace
Live or historic vessel / ship position data
Volume55K Commercial vessels tracked
History6 years of past data available
Use CaseSupply Chain Management, Maritime Analysis + 1 more
Available Pricing:
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Port area calls

by MariTrace
Takes a vessel or array of vessels and returns port areas (e.g. port boundaries, berths) that those vessels have visited or takes a given area or array of areas (e.g. port boundaries, berths) and r...
Volume7.5K Ports monitored
History6 years of past data available
Use CaseSupply Chain Intelligence, Commodity tracking + 3 more
Available Pricing:
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Monthly license
Yearly license
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Top Commodity Data Providers, Vendors, and Companies

Find the top Commodity Data aggregators, suppliers, and firms.

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Based in United States of America

Particle is a data provider offering Alternative Data, Commodity Data, and Commodity Prices Data. They are headquartered in United States of America.

Based in United Kingdom

Kpler is a data provider offering Oil & Gas Data, Commodity Data, and Satellite Data. They are headquartered in United Kingdom.

Based in United States of America

Barchart is a leading provider of market data and services to the global financial, media, and commodity industries. Our solutions makes it easy for you to create your own financial products, tool...

Based in Canada

Quandl is a data provider offering Corporate Actions Data, Bond Pricing Data, Travel Intent Data, Alternative Data, Commodity Data, Mutual Funds Data, ETF Data, Swaps Data, Futures Price Data, Cred...

Based in United States of America

Morningstar is a data provider offering Financial Institution Credit Rating Data, Commodity Data, Fixed Income Data, Mutual Funds Data, ETF Data, Indices Data, Company Data, Corporate Credit Rating...

Based in United States of America

Bloomberg is a data provider offering Automotive Data, Corporate Actions Data, Securities Reference Data, Bond Pricing Data, Commodity Data, Fixed Income Data, ETF Data, Private Equity Data, Indice...

Based in United States of America

Nasdaq Market Data Feeds is a data provider offering Dividend Data, Corporate Actions Data, Derivatives Reference Data, Proprietary Market Data, Commodity Data, Fixed Income Data, ETF Data, Indices...

Based in United States of America

CME Group is a data provider offering Commodity Data, Indices Data, Swaps Data, OTC Derivatives Data, Implied Volatility Data, Interest Rate Data, Commodity Prices Data, Stock Market Data, and Rese...

Based in United States of America

International Monetary Fund is a data provider offering Commodity Data and Commodity Prices Data. They are headquartered in United States of America.

The Ultimate Guide to Commodity Data 2020

Learn everything about Commodity Data. Understand data sources, popular use cases, and data quality.

What is Commodity Data?

Commodity data is information on the sales and purchasing activities of commodities such as mineral resources, national products and exported materials in international markets. This involves the type of commodities, falls and rises in price, what they are being used for, who is buying them, who sells commodities, and all other information concerning trading commodities, especially factors that determine the conditions of the commodity market. It is usually used in the documentation and analysis of the international commodity market’s structure.

How is Commodity Data collected?

Commodity data is a type of financial market data. This means that the methods and measures employed in the collection of most financial market data can be used in the collection of commodities data. These methods and measures include research from research firms, trading information, economic data, the opinions of investors, traders and buyers, as well as expert opinions. Regulatory bodies are also a source of information for collecting commodities data, as well as online services. News aggregators are also a valid means of data collection for commodities data and the commodities market as a whole.

What are the attributes of Commodity Data?

Commodities data is information on agricultural, mineral, metal, energy and manufactured materials, how they are bought, sold or exchanged, their prices, and all other trading activities. A typical commodities data should contain accurate pricing for these items, their price rises or price falls, the current commodities market conditions, and projected trends. Commodities data should contain information on exchange rates, trading attributes, and bidding attributes. All of these should help make decision-making for market participants in commodities more accurate and informed.

What is Commodity Data used for?

Commodity data is a type of financial market data. Commodity data can be used in various cases:
Portfolio optimization - creating portfolios on commodities that avoid as much risk as possible.
Yield increase - to increase profit returns on investments.
Trading - to make informed decisions about which commodities are profitable trade items, and how to go about trade processes.
Asset management - to help businesses properly manage or handle wealth.
Commodity market intelligence - for investment decisions, as well as academic purposes.

How can a user assess the quality of Commodity Data?

Commodities data is used by a great number of individuals, businesses and countries. It is important that whatever data you buy is of high quality. To assess the quality of commodities data, it must be transparent, in such a way that users of the information are able to make informed and accurate decisions and expectations on market conditions. Commodities data must also be authentic, meaning whatever sources it is being attained from, must verify its impartiality and collection methods. Commodities data must also be accurate, reliable, and precise for users and participants in the commodities market.

Categories Related to Commodity Data

Explore similar categories related to Commodity Data.

Popular Commodity Data Use Cases

Find out the most common applications of Commodity Data.

Portfolio Optimization
Commodity Market Intelligence
Trading Asset Management