market-review

Automate market recap dashboard generation by fetching cross-asset data and converting Excel trends to JSON for direct frontend integration. This workflow uses iChoice and AKShare to generate reproducible dashboards covering equities, bonds, FX, and commodities.

Convert Excel market data to JSON for a Vite frontend dashboard by processing raw metrics with pandas and numpy. The workflow outputs JSON files structured for direct dashboard consumption and quantile analysis.

Yes, you need EmQuantAPI and akshare to run cross-asset market analysis workflows. These data sources fetch the daily net value trends and indicator values required to populate the reproducible multi-asset recap dashboard.

You can use Python pandas and openpyxl to build automated financial dashboards by transforming raw iChoice data into structured JSON. This pipeline feeds a Node and Vite frontend to render the final visualizations and screenshots.

Generate reproducible screenshots of market performance dashboards by running an automated end-to-end pipeline. The workflow processes target date data, launches the Vite frontend, and saves dashboard captures covering equities, bonds, FX, and commodities.

AKShare data collection may fail to populate the frontend dashboard if the Excel to JSON conversion step is skipped. The pipeline requires pandas and openpyxl to transform raw data into the JSON format expected by the Vite frontend.