Trading Signal Monitoring System

Trading Signal Monitoring System focuses on data reliability, alert auditability, and dashboard review for rule-based signals.

Signals are only useful if the underlying data, rule version, and alert history can be inspected.

Build a monitoring layer that separates market data ingestion, signal evaluation, alert routing, and review history.

• Market data ingestion worker placeholder.
• Signal rule evaluator with versioned configuration.
• Redis for short-lived state and alert throttling.
• Dashboard for signal history, rule status, and operational health.

• Signal event log.
• Rule version and configuration placeholders.
• Alert status states.
• Health checks for ingestion delay and worker status.

• Optional anomaly detection for market data gaps.
• LLM summary placeholder for daily signal review notes.
• No financial performance claims without backtesting data.

1. 1Ingestion worker receives or polls market data.
2. 2Data is normalized and stored.
3. 3Rule evaluator checks configured conditions.
4. 4Alert event is created and routed.
5. 5Dashboard displays signal, source data, and rule version.

• Avoiding false confidence from untested signals.
• Tracking rule versions alongside alerts.
• Handling data gaps and delayed feeds.

• Frame the project as monitoring infrastructure, not investment advice.
• Keep performance metrics empty until validated by backtesting.
• Prioritize auditability and alert reliability over complex models.

No trading performance metric is claimed. Add validated backtesting and live monitoring data only when available.

• Add strategy backtest report page.
• Add alert routing integrations.
• Add ingestion data quality dashboard.