A premium trading signal platform combining Convex for real-time reactivity, TimescaleDB for time-series analytics, and Interactive Brokers integration for trade execution. Meridian features multi-source data ingestion, human-in-the-loop approval workflows, and a live dashboard for monitoring signal performance.
Meridian's architecture flows from multi-source data ingestion through signal processing and approval workflows to trade execution via IBKR, with Convex providing real-time reactivity for the analytics dashboard.
Market data from multiple sources flows through signal processing and a human-in-the-loop approval workflow before trade execution via IBKR. TimescaleDB stores time-series data while Convex pushes real-time updates to the dashboard via WebSocket.
Convex provides real-time reactivity without manual WebSocket management, making dashboard updates instant. TimescaleDB handles time-series data with continuous aggregates for historical analytics. IBKR's TWS API offers institutional-grade market data and execution capabilities. Together, they form a platform that is both responsive and analytically powerful.
Aggregate trading signals from multiple data sources into a unified processing pipeline
Human-in-the-loop approval system ensuring every trade signal is reviewed before execution
Live dashboard powered by Convex and WebSocket for instant visibility into signal performance
Deep integration with Interactive Brokers for market data consumption and trade execution
Meridian's approval workflow ensures no trade executes without human review. Signals are scored by confidence, queued for review with market-relevant expiration windows, and logged with full audit trails. This design balances automation speed with the judgment that algorithmic systems alone cannot provide.
TimescaleDB's hypertables and continuous aggregates enable efficient querying across time-series data. Combined with Convex's reactive subscriptions, the dashboard delivers both historical depth and real-time responsiveness for informed trading decisions.
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