$ loading_
Monitor heartbeat, reconciliation, alerts, and audit data for trading fleets.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Quant Watchtower" yet — see the docs or source repo.
Use Quant Watchtower to inspect the current algorithmic trading fleet heartbeat status and list any recent abnormal or offline instances by node.
A heartbeat overview by instance, highlighting abnormal or offline nodes for quick operational review.
Use Quant Watchtower to retrieve the latest reconciliation results, identify accounts or strategies with discrepancies, and summarize the issues.
A summary of reconciliation discrepancies and brief notes to help pinpoint the source of issues.
Use Quant Watchtower to summarize recent alerts and audit records, organizing key events in chronological order.
A chronological list of key alerts and audit events for post-incident review and compliance checks.
Operations teams can use it in read-only mode to inspect heartbeat and alert data across an algorithmic trading fleet. It fits routine health checks and early anomaly triage.
Developers or data analysts can review reconciliation-related data to locate discrepancies in accounts, strategies, or processes. It is useful for post-issue investigation and root-cause analysis.
Teams can use audit data to review key actions and event timelines for internal review and compliance checks. As a read-only console, it is suited to safe inspection rather than making changes.
It is a read-only MCP operations console for monitoring an algorithmic trading fleet. It provides heartbeat, reconciliation, alert, and audit data through six typed tools.
Based on the provided description, it is a read-only tool focused on viewing and monitoring data, not on executing changes directly.
The provided materials do not include installation steps, runtime requirements, or key prerequisites. See the source repository for details.
Checks pre-trade plans, risk-reward, and generates proof receipts for disciplined trading.
Automate on-chain watches, web monitoring, cron jobs, and agent coordination.
Query massive US equity quant data for read-only cross-sectional analysis.
Access luxury watch prices, trends, sales, listings, and appraisals.
Monitor and manage MCP tool tasks via WebSocket events and authorization flows.
Fetch real-time crypto quotes, token info, and trade data across exchanges.