Commodity Prices Data
The Ultimate Guide to Commodity Prices Data 2021
What is Commodity Prices Data?
Commodity pricing data is a sub-category of commodity data. Where commodity data refers to general information about commodities in the financial markets, commodity prices data dives deeper. Commodity prices data gives analytics on the prices fluctuations in the commodity market. This data gives intelligence on how commodities are performing in the markets, which in turn has an effect on the price structures of a market. Commodity prices data also contains historical data, to show the performance of different commodities.
How is Commodity Prices Data collected?
Commodity prices data is based on the financial markets. This means that methods and measures in financial markets data collection are the same employed in the collection of commodity prices data. Various sources and tools are involved in the collection of commodity prices data. These include research firms, information from traders, and industry expert opinions. Investor activities and public records from regulatory or government institutions are also sources of intelligence. Online services and news aggregators are also collection sources for commodity prices data.
What are the attributes of Commodity Prices Data?
Commodity Prices data provides pricing information on all types of commodities. This includes agricultural, mineral, metal, energy and manufactured materials. This data also provides information on the buying, selling, exchange and trading of these commodities. A typical commodity prices dataset will contain the following;
Raw pricing data - which includes the commodities’ price rises or price falls.
Conditions of the current commodities market, as well as what is expected in the future.
Commodity prices data also contains intelligence on its stock exchange performance, including trading and bidding intelligence.
What is Commodity Prices Data used for?
Commodity prices data is a type of data prominent in the financial market. Commodity prices data can be used in the following ways:
Commodity prices data is useful in optimization of portfolios. The information can be used to avoid portfolios with low yields or seriously high risks.
Commodity prices data helps to gain insight in trading. It can help to make decisions on the pricing structures of commodities stocks in the financial market.
Commodity prices data is essential for asset management processes. It can help to make decisions that manage or handle wealth properly.
How can a user assess the quality of Commodity Prices Data?
Commodity prices data is essential to individuals, businesses and countries. Like is the case with any other type of data, it is vital that this data is of high-quality. To assess the quality of commodity prices data, consider the following quality aspects:
Commodity prices data must be transparent: users of the dataset must be able to understand the data and draw accurate information to make decisions from it, especially for data about market performance projection.
Commodity prices data must also ensure authenticity: all sources of information must be verified sources.
Commodity prices data should also ensure accuracy: all the numerical information must be precise and verified for accuracy.
Who are the best Commodity Prices Data providers?
Finding the right Commodity Prices Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Commodity Prices Data providers that you might want to buy Commodity Prices Data from are FinPricing, Pynk, and Market Report Company.
Where can I buy Commodity Prices Data?
Data providers and vendors listed on Datarade sell Commodity Prices Data products and samples. Popular Commodity Prices Data products and datasets available on our platform are Gold Price Signal by Pynk, Bitcoin Price Daily Signal by Pynk, and Precious Metal Implied Volatility by FinPricing.
How can I get Commodity Prices Data?
You can get Commodity Prices Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Commodity Prices Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Commodity Prices Data APIs, feeds and streams to download the most up-to-date intelligence.