What data for this category looks like
Securities financial report data comes from public disclosure channels required by securities regulators and official announcements of listed companies. Update cadence includes regular disclosures (quarterly, semi-annual, annual) and real-time updates triggered by interim announcements. Document structure includes standardized structured financial statements (balance sheet, income statement, cash flow statement) and detailed notes. Fields cover core financial indicators such as attributable net profit, earnings per share, and return on net assets. Units are mostly yuan, ten thousand yuan, or hundred million yuan. Each report includes clear markings for report period and accounting period.
What constraints do these characteristics impose on model access and configuration
The long text structure of securities financial reports requires the model's context window to support parsing of large document volumes. The mixed update cadence of regular and interim announcements requires configuring both scheduled synchronization and event-triggered update rules. The large number of standardized fields requires configuring precise metadata mapping rules to prevent confusion between indicator names or units. The strict disclosure time window requires setting time limits for synchronization tasks, to avoid pulling undisclosed data during non-compliant periods. Additionally, the need for associated analysis of structured data requires retrieval configurations to balance passage relevance and field completeness.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Single securities financial report documents often exceed 5000 characters, and need to cover complete statements and core note content |
ragRecallTopK | Top 8–12 passages | Securities financial reports have many fields and high relevance requirements, so enough relevant structured passages must be retrieved |
fileParseTimeout | 300 seconds | Financial report parsing requires processing large numbers of tables and nested notes, which takes longer than ordinary documents |
syncSchedule | 2 times daily + interim announcement trigger | Covers both regular disclosure and interim announcement update scenarios |
fieldMapping | Map according to disclosed standard field names | Securities financial report fields follow unified naming specifications, so indicator names extracted by the model must be accurately matched |
basicAuth | Configure account and password according to API documentation | Some securities data APIs require basic authentication, which meets access security requirements |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- The symptom is that the knowledge base retrieves multiple relevant financial report passages, but the model's generated response states that no matching answers were found. The cause is that the
fieldMappingrule is not configured, so the model cannot recognize securities-specific financial fields in the retrieved content, and cannot associate them with the indicators mentioned in the user's question. - The symptom is failure to connect to securities data APIs that support Basic Auth. The cause is that correct authentication parameters are not filled in the model channel configuration, or the configuration format does not meet the API requirements.
- The symptom is reasoning timeout after deploying the connected model. The cause is that the
fileParseTimeoutormodelInferTimeoutparameters are not adjusted to adapt to the long text reasoning requirements of securities financial reports.
How to confirm successful configuration
- Manually upload a listed company's public financial report document, check if the parsed fields match the disclosed content, to confirm that the
fieldMappingconfiguration is effective. - Trigger a synchronization task, check if the synchronization log includes records of regular disclosure and interim announcement triggers, to confirm that the
syncScheduleconfiguration is effective. - Call the model to test targeted questions, such as "What is the attributable net profit of a company's third quarter of 202X", check if the response accurately matches the retrieved financial report data, to confirm that the context and retrieval configurations are effective.
- Check the connection status of the model channel, confirm that the authentication parameters are configured correctly and there are no connection errors, to confirm that the
basicAuthconfiguration is effective.
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.