Model Access and Configuration for Securities Yield Data

Data related to yields for domestic and overseas securities markets is sourced from official market APIs of stock exchanges and standardized APIs from

What this category of data looks like

Data related to yields for domestic and overseas securities markets is sourced from official market APIs of stock exchanges and standardized APIs from compliant financial data service providers. Real-time trading snapshots are pushed every 5 to 15 seconds during trading days. Complete daily yield report data from post-market settlement is published by 17:00 on the same day. Data is stored in structured format, including fields such as unique asset code, product name, trading date, daily return value, total trading volume, total trading amount, and more. Price fields use CNY as the unit. Trading volume fields use shares or trading lots as the unit. Fields related to yields follow industry-standard measurement conventions.

What constraints do these characteristics impose on the "model access and configuration" workflow

High-frequency real-time market updates require model call frequency to match the data source’s push rhythm, to avoid exceeding API rate limits. Fixed release times for post-market settlement data require configuring scheduled pull tasks with appropriate execution times, to ensure complete daily yield data is obtained. The large number of structured fields with industry-standard naming requires configuring field mapping rules to convert raw data fields into model-recognizable input formats. Strong data timeliness requires setting reasonable cache expiration times to prevent models from using outdated market data. Compliance requirements for securities data also require verifying the qualification of accessed data sources, to ensure data sources meet financial regulatory specifications.

How to set the configurations

Configuration ItemRecommended ValueRationale
model_call_frequency1 time every 10 secondsMatches the update interval of securities real-time market data, avoids triggering rate limits on data source or model APIs
data_cache_expire300 secondsMatches the valid display period of securities real-time market data, ensures models use the latest market data during calls
daily_data_sync_time16:30-17:00Covers the release window of post-market daily settlement data for securities markets, ensures complete daily yield report data is pulled
field_mapping_ruleConfigured in the format asset code → product_code, return value → daily_return, trading amount → turnoverFollows standard field naming conventions for securities market data, ensures models correctly parse input data
request_timeout5000 millisecondsAdapts to the standard response latency of securities APIs, prevents task interruptions from long wait times
max_retry_times3 timesAddresses temporary API fluctuations, reduces the probability of data pull failures

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, and it is recommended to test on your own samples before finalizing settings.

Three common configuration errors

  • Phenomenon: A 429 Too Many Requests error is returned when calling the model. Cause: The configured call frequency does not match the securities market data update rhythm, and the call volume exceeds the API rate limit threshold.
  • Phenomenon: Pulled yield data fields are empty or have abnormal formats. Cause: Correct field_mapping_rule is not configured, and raw market data fields are not mapped to model-recognizable input formats.
  • Phenomenon: The signature time variable in the workflow prompt does not output the correct date. Cause: The real-time update rule for the system time variable is not bound in the workflow, and the trigger logic for the variable is not configured.

How to confirm the configuration is complete

  • View model call logs, confirm that call frequency matches the setting of model_call_frequency, with no frequent rate limit-related errors.
  • Manually trigger a daily settlement data pull task, check if the pulled fields match the configured field_mapping_rule.
  • Test the system time variable in the workflow, confirm that the output date matches the current system date.
  • Check the data source connection status, confirm there are no connection refused errors, and the API is accessible normally.

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.