What Data for This Category Looks Like
Data comes from official market APIs of domestic and overseas precious metal exchanges, and compliant third-party market aggregation services. There are two update cycles: real-time tick-by-tick updates, and daily closing reports. Real-time data has non-fixed update intervals. Daily reports are generated within one hour after each trading day closes. Most data uses structured table formats. Each record includes fields such as product identifier, trading code, benchmark price, highest transaction price, lowest transaction price, daily trading volume, total position, and more. Price units are yuan/gram or yuan/kilogram. Trading volume units are kilograms or ounces.
What Constraints Do These Characteristics Impose on the Model Integration and Configuration Link
Non-fixed real-time update intervals require flexible pull interval configurations. This avoids invalid requests or data lag. Fixed daily report generation cycles require scheduled pull tasks, not real-time polling. Multiple unit fields and multiple product types require unified conversion and mapping rules in the data preprocessing stage. This prevents unit confusion or field mismatches in model inputs. Structured table formats require enabling dedicated structured parsing modes during model integration. This improves the accuracy of information extraction.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
data_source_pull_interval | 10–30 seconds (real-time market data) or 86400 seconds (daily report pull) | Matches the update rhythm of precious metal real-time market data and the generation cycle of daily reports, ensuring data timeliness |
field_unit_convert_rule | Preset mapping table conversion by product | Precious metals have multiple unit fields such as yuan/gram, yuan/kilogram, and ounce. Unified conversion to target units is required before inputting into the model |
structured_parse_mode | Table structured parsing | Most precious metal market data uses table formats. This mode accurately extracts numerical information for each field |
max_context_window | 2000–4000 characters | A single precious metal daily report includes multiple fields. Controlling context length avoids the model loading redundant data |
model_call_timeout | 600 seconds | Covers the total time required for multi-product market data pulling, parsing, and model generation, preventing request interruptions ahead of schedule |
multi_variant_mapping | Match fields by trading code | Precious metals include multiple products such as gold and silver. Trading codes are used to align field definitions for different products |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: After uploading a precious metal market table, the model's response does not include the statistical data in the table. Cause: The table parsing configuration of
structured_parse_modeis not enabled. Structured data is not correctly extracted and included in the model context. - Phenomenon: After deploying a 70B-parameter model, response speed is too slow when batch generating precious metal yield daily reports. Cause: The
max_context_windowparameter is not adjusted. The model loads excessive historical market data, leading to excessive computing resource usage. - Phenomenon: The precious metal market broadcast page embedded via iframe cannot display properly in mini-programs. Cause: Cross-domain access whitelist rules and mini-program-specific verification parameters are not configured. External requests are blocked.
How to Confirm Successful Configuration
- Upload a single standard precious metal market table. Check whether the fields output by the system's parsing match the original document fields.
- Initiate a model call that includes precious metal market data. Check whether the returned results reference the uploaded or pulled market information.
- View the model call logs. Confirm that request parameters such as pull interval and timeout match the configured items.
- Test access to multiple types of precious metal data. Confirm that unit conversion and field mapping rules for different products work correctly.
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.