Form and Interaction for Investment Platform Yields

Market and yield data for investment platforms comes from official securities exchange APIs, official index data providers, and third-party financial

What the data for this category looks like

Market and yield data for investment platforms comes from official securities exchange APIs, official index data providers, and third-party financial data service providers. Updates follow trading day cycles. Daily data is updated after market close each day. No new data is added on non-trading days. Each data record includes fields including product unique code, product short name, product type, daily return value, 7-day return value, 30-day return value, cumulative net value, daily trading amount, and release date. Field units are as follows: product code has no unit, product short name has no unit, product type has no unit, return values use "per share" as the unit, cumulative net value uses "yuan" as the unit, daily trading amount uses "ten thousand yuan" as the unit, and release date uses the "YYYY-MM-DD" format.

What constraints these characteristics impose on form and interaction

Multi-source data access requires the interaction layer to support data source verification and switching configurations. This prevents invalid data from being included. Fixed update rhythm based on trading days requires the form to bind scheduled trigger rules. Data is pulled only after trading hours, and non-trading hours are automatically skipped. A large number of fields with varied units requires the interactive form to support on-demand configuration of displayed fields. It also automatically adapts unit display logic for different fields. The fixed output requirement for daily reports requires the form to bind a fixed output template. This ensures consistent report formats generated each day. High data accuracy requirements for investment platform users add an abnormal data filtering step to the interaction layer. This filters empty data from days with no trading or abnormally fluctuating data.

How to set configurations

Configuration ItemRecommended SettingRationale
scheduleCronExpression0 18 * * 1-5Matches the update schedule at 18:00 on trading days following market close
recallTopKTop 8 entriesCovers mainstream investment categories, avoids redundant output
PARSE_FILE_TIMEOUT_SECONDS300 secondsAccommodates parsing time for multi-cycle market data
formFieldWhitelist["productCode", "productName", "dailyReturn", "weeklyReturn", "totalNetValue"]Only retains core display fields for daily reports
responseFormatMarkdown tableImproves data readability in investment scenarios
errorRetryCount2 retriesReduces failure rate caused by occasional fluctuations in market data APIs

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 individual analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Symptom: Significant interface lag occurs when dragging form variables. Lag disappears after deleting the bound market data variable. Cause: The form is bound to multiple field data exceeding the rendering threshold, leading to excessive front-end rendering load.
  • Symptom: Results generated when calling the API to generate daily reports differ significantly from online chat results, with higher accuracy in online chat. Cause: The API call does not have context association rules configured, or does not bind the recall strategy for the corresponding knowledge base.
  • Symptom: Invalid data from non-trading days appears in generated daily reports. Cause: No trading day filtering rules are configured, and the scheduled task does not trigger according to the trading day cycle, leading to pulling empty data from non-trading hours.

How to confirm the configuration is complete

  • Trigger a data pull manually. Check application logs for pull records from the corresponding data source. Verify returned fields match the configured form whitelist.
  • Generate a single daily report preview. Confirm the output format meets preset requirements, and that fields are displayed without missing or abnormal content.
  • Simulate dragging and deleting form variables. Confirm the interface responds without lag, and that variable binding logic works correctly.
  • Call the same configuration via online chat and API respectively. Verify the two generated results are consistent.

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.