xagg

Context

Analysts tracking market context need faster signal aggregation across news and financial inputs.

Approach

Built a Streamlit app combining headline streams and market data feeds into one exploration interface.

Architecture

Data connectors -> normalization layer -> scoring/filter logic -> Streamlit presentation.

Results

Created a rapid context dashboard for monitoring topical and market movement.

Lessons

Signal usefulness depends on ranking and filtering, not just source volume.

Artifacts

• Repo: https://github.com/kspringfield13/xagg

If I had 2 more weeks...

Add alerting thresholds and persistent watchlists.