AI-Assisted Data Dashboard
AI-Assisted Stock Analysis Dashboard
An AI-assisted data analysis dashboard project that turns personal stock research questions into an interactive dashboard through requirement breakdown, modularization, and visualization iteration.
Period
Aug 2025 - Present
Tools / Tech
PythonStreamlitAKSharePlotlyPandasScikit-learn
Why I built it
Project focus: the dashboard is for observing intraday signals, order flow, large orders, fund-flow estimates, and data patterns. It is not a trading recommendation tool.
Links
What it includes
- Shows intraday quotes, tick transactions, large-order behavior, fund-flow estimates, and price-level changes.
- Separates observation indicators from trading recommendations and states clearly that the output is for review only.
- Includes related AKShare API checking work for testing endpoint availability and data-report outputs.
- Includes experimental anomaly detection, classification, and clustering modules as research examples.
What I worked on
- Used AI assistance to split data fetching, cleaning, indicator calculation, chart display, and module structure.
- Reviewed AI-generated code and charts manually to keep field handling, empty-data cases, and visual output understandable.
- Kept the project framed as exploratory analysis rather than a financial product.
What I Learned
- Learned how financial-data tools need careful wording around observation versus advice.
- Practiced AI-assisted modularization for data dashboards.
- Improved awareness of data-source instability, field changes, and visualization edge cases.