What the data for this category looks like
Trading rule data primarily comes from internal business configuration systems of financial institutions and public documents released by regulatory authorities. Update cycles are triggered irregularly alongside regulatory policy adjustments or business iterations, with a single update covering one or multiple types of trading scenarios. Documents use structured formats, including fields such as rule number, effective start and end time, applicable customer groups, transaction limits, service fee rates, exception handling clauses, etc. Service fee rates are measured in percentage units, transaction limits in Chinese Yuan, and effective times are marked in ISO 8601 format.
What constraints these characteristics impose on the model access and configuration link
Structured trading rule data requires strict matching of field names and units during model access to avoid parameter parsing errors. The irregular update feature requires configuring an automatic synchronization mechanism to regularly pull the latest rule versions and prevent calling outdated content. The multi-field and strongly associated structure requires enabling context association verification during configuration to avoid losing logical connections when splitting rules. Additionally, trading rules directly relate to fund operations, so a result verification link for model calls must be configured to ensure that the interpreted rules match the original data.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MODEL_SYNC_INTERVAL | 3600 seconds | Trading rule updates have no fixed cycle; synchronizing once per hour balances timeliness and system resource usage |
PARSE_STRUCTURED_PDF | Enabled | Most trading rule documents are PDFs with tables; enabling structured parsing accurately extracts fields and associated logic |
MAX_CONTEXT_RULES | First 6 entries | Single-round consultations typically only require calling the 6 most recently updated core rules; exceeding this will exceed the model context window |
MODEL_CHANNEL_GROUP | Bind by stability tier | Trading rule interpretation requires stable context processing capabilities; prioritize allocating model channels with low latency and high concurrency |
RULE_MATCH_THRESHOLD | Calibrate via actual testing | Adjust based on business requirements for rule interpretation accuracy to ensure the match rate between model output and original rules meets standards |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Trading rule documents may contain multi-page associated clauses; sufficient parsing time is required to avoid mid-process timeouts |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: After uploading a trading rule PDF, some fields are parsed as empty, and the interface displays the
PARSE_FIELD_EMPTYprompt. Cause: ThePARSE_STRUCTURED_PDFconfiguration item is not enabled, or tables in the document are not recognized as structured data blocks. - Symptom: Model calls are automatically triggered on the hour, and unconfigured model requests appear in logs. Cause: The
AUTO_SYNC_MODELswitch is not turned off, or the rule synchronization task is bound to an incorrect model channel. - Symptom: The interface displays
NO_AVAILABLE_MODEL_CHANNEL, but channel configuration is correct. Cause: The model group for the trading rule service is not bound to available channels, or the group has model call count limits set.
How to confirm configurations are complete
- Manually trigger a rule synchronization task, check the status code in the synchronization log, confirm there are no
SYNC_FAILEDerrors, and verify that the model channel binding is correct. - Upload a test trading rule PDF, check if the parsed result fields fully cover the key content of the original document, and confirm that the structured parsing configuration is effective.
- Initiate a simulated call for rule interpretation, compare the model output with the original rule text, and confirm that the match rate meets the preset verification threshold.
- View model call monitoring data, confirm there are no unconfigured model requests during the hour, and verify that the scheduled task's model binding settings are correct.
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.