Building Signal Discipline With Stored Market History
Good crypto analytics are not built from isolated live requests. They are built from time-series context.
Platform approach
- collect market data
- store normalized snapshots
- calculate analytics from history
- serve signals to the dashboard and alerts
Outcome
This keeps the signal engine explainable, repeatable, and easier to validate over time.