Sharing and Embedding for Carbon Steel Yield Data

What This Category’s Data Looks Like

Carbon steel yield and market data comes from public market APIs of bulk commodity spot trading platforms and futures markets. Updates follow the trading day cycle. Some real-time market APIs push data at fixed intervals. The data structure includes category identifiers, origin, specification parameters, benchmark prices, and yield-related numeric fields. Units are uniformly yuan/ton and fixed numeric units. Data distinguishes between spot and futures market types. Spot data includes daily settlement prices and regional price spread dimensions. Futures data includes closing prices of main contracts, open interest, and other dimensions.

What Constraints These Characteristics Impose on Sharing and Embedding

Carbon steel yield and market data has multiple field dimensions, including benchmark prices and yield-related values, and separates spot and futures data. When embedding into web pages or other platforms, clearly define dimension filtering rules to prevent information overload that impairs reading. Different data sources use varying update cycles. Embedded content must standardize pull trigger timing to maintain timeliness, ensuring displayed data aligns with business time requirements. Multiple unit types are used. Embedded content must consistently display units to prevent misunderstanding by non-industry users. Carbon steel has many detailed specification parameter types. Embedded content must retain accessible parameter filtering entries, otherwise general data cannot meet the precise needs of specific business scenarios.

Configuration Settings

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

• Embedded sharing code fails to load carbon steel market data normally, returning empty fields. The cause is that the field names configured in displayFields do not match the field names returned by the data source API, and core fields such as category identifiers, benchmark prices, and yield values are not correctly mapped.
• The embedded iframe page does not update data for a long time, displaying expired carbon steel market information. The cause is that the dataRefreshInterval configuration value exceeds the update cycle of carbon steel market data, or the automatic refresh logic is not enabled.
• The embedded iframe retains uncontrollable export buttons, and different users can view other users' session records. The cause is that sharePersistentSession is enabled and the export function is not disabled, and the configuration is not adjusted for the public carbon steel market data scenario.

How to Verify Correct Configuration

• Copy the generated embedding code, paste it into a test web page, check that the displayed fields include core information such as category identifiers, specification parameters, benchmark prices, and yield values. Adjust the displayFields configuration until the required dimensions are covered.
• Wait for the configured refresh interval, refresh the test web page, confirm that the displayed carbon steel market data matches the latest data from the current public data source. Adjust the dataRefreshInterval configuration until it matches the update rhythm.
• Test the filtering function of the embedded page, confirm that users can switch between spot/futures types and filter specific specification parameters. Adjust the enableCustomFilter configuration to meet business needs.
• Check the unit display of the embedded page, confirm that the corresponding unit labels are displayed. Adjust the unitDisplaySwitch configuration to the enabled state.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.