What This Category’s Data Looks Like
Securities yield data draws from official exchange market data APIs and compliant financial data service APIs. During trading hours on trading days, real-time trade-by-trade yield data is pushed. A full daily summary dataset is generated after market close. Document formats are mostly structured JSON or CSV, with core fields including security code, security abbreviation, statistical cycle, daily yield, cumulative yield, and more. Field values are dimensionless yield numbers. Some APIs include auxiliary statistical fields such as trading volume and transaction amount. No valid market data exists on non-trading days, and APIs return empty datasets or prompt messages.
Constraints Imposed on HTTP Interfaces and External Systems
High-frequency updates of real-time trade-by-trade data require interfaces to support low-latency callbacks or high-frequency polling, to prevent information lag from data delays. Full post-market summary data has a large volume, so interfaces must support pagination queries or market-specific pulls to avoid single-request timeouts. The requirement for dimensionless yield fields means API parameters must explicitly exclude percentage-formatted fields, to prevent parsing errors in downstream systems. Regional trading day rules require interfaces to support filtering queries by exchange trading hours, and handle empty datasets returned on non-trading days. Differences in security code rules across markets require interfaces to support security code parameters in multiple encoding formats, such as A-shares and Hong Kong stocks, to avoid format validation failures.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
api_request_timeout | 30 seconds | Response times for full securities data APIs typically fall between 10-25 seconds; 30 seconds covers most normal requests and avoids premature timeouts |
batch_query_max_count | 200 items | Querying too many security codes in a single batch results in overly large API response volumes, leading to parsing failures in downstream systems; 200 items is a reasonable balance between efficiency and stability |
update_frequency | 3 seconds | Real-time A-share market data pushes the latest trade data every 3 seconds; polling every 3 seconds ensures data timeliness |
response_format | raw_json | Securities yield data includes multi-dimensional structured fields; the raw_json format fully preserves original fields and avoids information loss from format conversion |
api_auth_type | api_key_header | Most compliant financial data APIs use API keys carried in request headers for authentication, which prevents key exposure in URLs |
non_trading_day_behavior | return_empty_array | No market data is available on non-trading days; returning an empty array allows downstream systems to handle empty datasets uniformly and avoid abnormal errors |
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 individual analysis, and it is recommended to test against deployment-specific samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: The API returns a
400 Bad Requesterror, and logs showinvalid security code format. Cause: Failure to adapt to different market security code rules; for example, passing A-share codes to a Hong Kong stock API, resulting in code format validation failure. - Symptom: Yield fields returned by the API are empty, or values do not match actual market conditions. Cause: Incorrect trading day filter parameters were set, requests were made for market data on non-trading days, or polling frequency did not match the data source's update cadence, leading to retrieval of unupdated cached data.
- Symptom: A
format mismatcherror is returned when calling the external API, and returned fields do not match the expected structure. Cause: Theresponse_formatparameter was not configured correctly, resulting in a mismatch between the JSON structure returned by the API and the parsing rules of the downstream system.
How to Verify Proper Configuration
- Initiate a single query request for one security, verify that returned fields match the configured
response_formatparameter, and confirm no format conversion errors. - Initiate multiple polling requests according to the configured
update_frequencyparameter, verify that returned yield values update during trading hours, and confirm the update cadence matches. - Pass query parameters for a non-trading day, verify that the returned result aligns with the
non_trading_day_behaviorconfiguration, and confirm the non-trading day handling logic is correct. - Initiate a batch query request, pass the maximum number of security codes specified by the configured
batch_query_max_count, verify that the API returns a complete response with no timeout errors, and confirm the batch query configuration is reasonable.
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.