What the data looks like for this use case
Securities market data is sourced from official exchange public APIs and standardized APIs from compliant financial data service providers. Data is updated in two cadences:
- Intraday real-time push of order book snapshots, updated every few seconds
- Full daily yield reports generated at fixed post-market hours
Data is structured as JSON or CSV, with the following fields: sec_code, sec_name, trade_date, open_price, close_price, daily_yield, volume, turnover. The daily_yield field uses percentage units and retains four decimal places. The turnover field uses Chinese Yuan as its unit.
Constraints imposed on workflow orchestration
These data characteristics impose multiple constraints on workflow orchestration:
- Real-time order book data requires event triggers, paired with scheduled tasks to cover post-market full data pulls
- Many structured fields have strict formatting requirements, so field validation nodes must be configured to filter abnormal data
- When pulling full reports in batches, adapt to the data source's single-call limit to avoid triggering rate limits
- Financial data compliance requirements mandate that workflow nodes include authentication parameters to prevent unauthorized access
Recommended Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
trigger_mode | Scheduled trigger + event trigger | Meets the needs of both intraday real-time data pulling and post-market full report generation, matching the dual update cadence of securities data |
batch_fetch_size | 100 records per call | Standard single-call limit for most compliant financial data sources, balances call efficiency and rate limit risk |
field_validation_rules | Validate daily_yield as a numeric type with range matching price change limits | Aligns with regulatory requirements for daily price fluctuations of securities, filters abnormal data |
workflow_timeout | 600 seconds | Covers the standard processing duration for pulling full-market securities data, prevents mid-run interruptions |
api_auth_type | API key authentication | Complies with access requirements for compliant financial data sources, ensures lawful data retrieval |
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 case-by-case analysis, and testing on your own samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Symptom: The workflow returns empty yield data or data with incorrect formatting. Cause: The
field_validation_rulesconfiguration to validate thedaily_yieldfield's numeric type and price change range was not set, allowing abnormal data to flow to subsequent nodes. - Symptom: The workflow cannot reference multiple security code variables to generate multi-issue daily reports. Cause: The
multi_variable_referenceconfiguration item was not enabled. The default setting only supports single-variable reference, so the dropdown menu only displays single variable options. - Symptom: In version 4.8.11alpha, debugging a workflow fails to stop the current node's debug mode. Cause: The
debug_stop_triggerparameter for the debug node was not correctly bound to the interrupt signal, preventing the process from terminating actively.
How to Verify Correct Configuration
- Manually trigger the workflow to pull the daily data for a single security, verify that the returned fields match the preset field list and that field formats meet business requirements.
- Configure a scheduled trigger task, wait for the corresponding update window, and verify that the number of batch-pulled records matches the data source's single-call limit.
- Input abnormal data exceeding price change limits into the workflow, verify that the validation node triggers the interception logic.
- Check the workflow run logs, confirm that no 401 Unauthorized, 429 Rate Limit Exceeded, or other error codes are returned, and that authentication parameters are configured 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.