What data for this category looks like
Data for this category mainly comes from compliant financial market data APIs and reports exported from internal trading systems of financial institutions. Data updates follow this schedule: Daily market data is completed 1 to 2 hours after market close on trading days. Historical data is archived by calendar day. Single data documents use a structured format, including fields such as trading date, symbol code, symbol name, opening price, closing price, highest price, lowest price, total trading volume, total trading amount, and others. Field units are: date format, alphanumeric combination, Chinese name, CNY, CNY, CNY, CNY, shares, CNY respectively.
What constraints these characteristics impose on model integration and configuration
Fixed update times require model calls to be bound to trading hours or scheduled trigger tasks, to avoid fetching invalid data that has not finished updating. Structured field structures require precise field mapping configurations, to prevent field misalignment during knowledge base retrieval. The large scale of bulk data for all market symbols requires appropriate bulk processing parameter configurations, to balance processing efficiency and third-party interface rate limits. Standardized daily report output requirements require model calls to prioritize response speed, and reduce unnecessary calculation steps.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
embedding_batch_size | 32–64 items/batch | The structured transcribed length of single market data is moderate. An overly large batch will easily trigger third-party interface rate limits, while an overly small batch will reduce bulk processing efficiency |
maxContext | 800–1200 characters | The transcribed text length of a single complete market daily report falls within this range, which can prevent key fields from being truncated |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | When processing bulk data for all market symbols, sufficient time must be reserved to complete data pulling, format conversion, and vectorization processes |
recall_top_k | Top 8–12 items | Daily report broadcasts need to cover core tracked symbols. Too many retrieved results will increase broadcast content redundancy, while too few will miss key information |
no_think | true | Market daily report broadcasts are standardized output scenarios. No model thinking process is required, which can reduce response latency |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing the configuration.
Three common mistakes
- Phenomenon: After bulk embedding tasks are executed, the retrieval matching effect for multilingual symbols does not meet expectations. The interface shows large deviations between retrieval results and corresponding input text. Cause: No adapted vector model is separately configured for multilingual symbols. The default single-language model is still used to process cross-language data, and the bulk processing parameter configuration is not adjusted synchronously after changing the model.
- Phenomenon: A
400 Bad Requesterror is returned when calling the model interface, prompting abnormal parameter format. Cause: Theno_thinkparameter is not placed in the top-level configuration field of the request body, and is incorrectly nested within other business parameters. - Phenomenon: The model call interface shows the "Testing" status, and no corresponding billing record is generated in the background. Cause: The formal permission activation process for the model has not been completed, and the system is still in the test quota restriction phase.
How to confirm the configuration is complete
- Perform an embedding test for single market data, verify that the generated vector results and input text have complete fields, and confirm that the configured vector model loads normally.
- Trigger a bulk processing task, check the parameter matching status in the task log, and confirm that the bulk processing configuration parameters meet the interface limit requirements of the current business.
- Call the model to generate daily report content, verify that the number of retrieved results in the returned results matches the configured retrieval parameters.
- Check the call records in the background, confirm that model call requests are normally recorded, and no test quota related prompt information is present.
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.