Public data, silver-market structure, and the conversation around them.
Wall Street Silver / markets and media systems
Research, sentiment, and silver-market infrastructure.
Wall Street Silver runs market research, audience systems, and data tooling for silver-market coverage. I use it to collect public data, test ideas, and publish the results.
Dashboards and explainers built from the collected data.
Keep the supporting data visible so readers can check the interpretation.
Role and responsibilities
I handle the research, data processing, and publishing systems together.
Research
Track market structure, inventory, public narratives, and the people and companies around silver.
Data pipelines
Collect, normalize, and process market and community data for analysis and internal tooling.
Evidence extraction
Extract indicators from public discussion and keep the supporting evidence in the research output.
How the research runs
Collect
Collect inventory, prices, and community discussion. Keep the source with each record.
Interpret
Normalize the data and track sentiment changes. Use those changes to decide what to investigate.
Publish
Share the findings in dashboards and explainers, with the evidence behind them.
Refine
Update the research when new data or reader feedback changes the picture.
Technical projects under WSS
The public site depends on internal tools and repeatable research workflows.
Silver Sentiment MVP
Reddit ingestion, sentiment modeling, time-series storage, and visualization designed to make broad market conversation measurable without flattening it into one score.
Market Data Pipeline
CFTC, LBMA, and COMEX ingestion, schema design, analytics transformations, and the underlying data structures needed for repeatable research.
Dashboard and Analytics
Visualization environment for silver-market data, narrative monitoring, and research outputs that operators and readers can scan quickly.