Multi-round Dialogue and Prompt Engineering for Diversified Financial Yields

Data for this category originates from compliant trading data sources of licensed financial information service providers, plus public trading records

What This Category of Data Looks Like

Data for this category originates from compliant trading data sources of licensed financial information service providers, plus public trading records from on-exchange and off-exchange markets. Two update frequency patterns apply:

  1. Real-time market data updates at fixed intervals
  2. Daily yield data is generated and released collectively after market close each trading day

Each data document includes fields including unique asset identifier, full asset name, trading date, daily return level, cumulative return level, associated index identifier, daily trading volume, daily turnover ratio, and more. All fields use standard financial measurement units, with no custom non-standard units.

Constraints on Multi-round Dialogue and Prompt Engineering from This Data's Characteristics

This category's data characteristics impose multiple constraints on the multi-round dialogue and prompt engineering workflow. First, data source compliance requirements mandate that prompts explicitly limit calls to compliant data from licensed institutions, and prohibit use of unauthorized data sources. Second, the two update frequency patterns require dialogue logic to distinguish call timing for real-time market data and daily report data. Real-time scenarios must adapt to cache mechanisms for short-interval updates. Daily report scenarios must bind queries to trading day market close times. Additionally, the multi-field structure requires prompts to explicitly specify target fields to return, to avoid redundant or missing necessary information. Differences in fields across assets require the dialogue flow to first confirm asset type before calling matching query logic.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext4000–8000 charactersDiversified financial data has many fields. Multi-round dialogue must retain historical query asset information and field requirements to avoid context overflow
RECALL_TOP_KTop 8–12 entriesDiversified financial yield data includes multi-dimensional fields. A sufficient number of related entries must be recalled to cover possible follow-up user questions
PROMPT_TEMPLATE"Only return specified fields of yield and market data based on compliant data sources. Clearly mark the data update time. If daily data is not obtained, explain that no updates are available during the current period."Must constrain output compliance and field completeness, and adapt to the fixed format requirements of daily yield broadcasts
PARSE_FILE_TIMEOUT_SECONDS300 secondsHistorical yield documents for diversified finance may include multiple pages of historical data. Sufficient parsing time must be reserved
API_REQUEST_TIMEOUT60 secondsCalling external financial data sources requires waiting for responses from compliant APIs to avoid interrupting dialogue due to timeout
ENABLE_CONTEXT_CACHEEnabledUsers may repeatedly query yield data for the same asset during multi-round dialogue. Caching reduces repeated API calls

The parameter values provided on this page are common recommended starting points 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 settings.

Three Common Mistakes

  • Phenomenon: When calling APIs, conversation logs display title fields, but core return yield data is missing. Cause: The prompt does not explicitly limit required return fields, causing the model to fail to match the standard field structure of diversified financial data.
  • Phenomenon: Yield data returned during multi-round dialogue does not include data update time markers. Cause: The prompt does not require marking data update periods, making it incompatible with the fixed format requirements of daily yield reports.
  • Phenomenon: Parsing times out for large historical yield document files. Cause: The PARSE_FILE_TIMEOUT_SECONDS configuration value is lower than the actual parsing time required for the document, causing the parsing task to abort.

How to Confirm Configuration is Complete

  • Initiate a single-round query, verify that the returned result includes all fields required by the preset prompt and marks the data update time.
  • Initiate two consecutive queries for the same asset, verify that the response speed of the second query is faster than the first, confirming that the context cache configuration is active.
  • Upload a diversified financial yield document containing multiple pages of historical data, verify that the parsing task completes within the configured timeout period.
  • Call the API interface to initiate a multi-round dialogue, verify that the conversation logs do not include references to non-compliant data sources.

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.