What the data for this category looks like
Data for this category comes from public securities market APIs, locally deployed financial trading terminal operation logs, and standardized APIs from compliant financial data service providers. The primary update rhythm is daily reports released at fixed times each day. Real-time market data is synced on demand.
This documentation covers structured time-series datasets, which include unique device identifier, collection timestamp, trading target code, daily return benchmark value, and daily fluctuation range fields. Field naming follows common financial data industry standards. Return benchmark values are measured in currency units, and fluctuation ranges are measured in basis points. Supported data formats are the two mainstream formats: CSV and JSON. Each record has a fixed number of fields, with no complex nested structures.
What constraints do these characteristics impose on deployment and upgrade?
Multiple data sources with varying interface access permissions require configuring authentication parameters for multi-source data pulling during deployment. Upgrades must maintain compatibility with new service provider interface formats.
The fixed daily update rhythm requires configuring scheduled task trigger windows during deployment, to avoid data lag caused by conflicts with market update periods.
Fixed fields in structured data prohibit arbitrary modification of field mapping rules during upgrades, as this will cause data parsing failures.
The real-time on-demand data sync requirement demands reserving bandwidth and concurrent processing configurations during deployment. Upgrades must optimize data pulling timeout parameters to adapt to different network environments.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SOURCE_WHITELIST | ["stock_api", "local_device_log"] | Limit legitimate data sources, prevent unauthorized data pulling, and ensure data compliance |
DAILY_UPDATE_TRIGGER_TIME | 08:00-09:00 | Aligns with daily report update windows for most financial market data, avoids data lag or duplicate pulling |
DATA_FIELD_MAPPING | Configure in the format {"device_id": "设备ID", "collect_time": "采集时间戳", "symbol": "交易标的代码"} | Maintain consistency with data source fields to ensure accurate data parsing |
REAL_TIME_PULL_TIMEOUT | 30 seconds | Real-time data pulling has strict latency requirements; excessive timeout duration will affect broadcast timeliness |
MAX_BANDWIDTH_PER_TASK | 10 Mbps | Balance data pulling speed and server resource usage, avoid impacting other business operations |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on one’s own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Broadcast data displays as empty or inconsistent with that day's market data. Container logs return a
401 Unauthorizederror. Cause: Authentication tokens for data sources have not been updated, or data source client code pulled from an outdated image. - Phenomenon: Scheduled tasks fail to trigger data updates, with no pulling records in container logs. Cause: The
DAILY_UPDATE_TRIGGER_TIMEwindow overlaps with market update periods, causing task throttling by the system. - Phenomenon: Earnings data for some devices fails to parse, with only partial fields displayed in the knowledge base. Cause: The
DATA_FIELD_MAPPINGconfiguration omits exclusive fields for some devices, with full mapping not completed.
How to Verify Successful Configuration
- Manually trigger a data pulling task, check that returned dataset fields match configured mapping rules, and verify field count and naming.
- View scheduled task execution logs, confirm normal pulling and parsing records exist within the configured trigger window, with no error messages.
- Verify pulling permissions for multiple data sources, try switching different data source identifiers to confirm all can retrieve data normally.
- Simulate real-time data pulling, check if delay of data reception and parsing meets business requirements, and adjust relevant configuration parameters as needed.
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.