The Challenge
Retail traders had no unified platform identifying high-momentum breakouts as they happened, relying on fragmented feeds and delayed scanning tools. Market data, brokerage accounts, subscriptions and behavioural insight sat in disconnected systems, and real-time streaming at scale risked event-loop delays during peak activity.
Breakouts surfacing after the move began.
Data, brokerage and billing held separately.
High volume threatening dropped real-time updates.
Trading decisions unlinked to emotional state.
Approach & Solution
smartData built the platform on a MERN architecture with process-separated worker services deployed as independent containers. A leader-elected scanner ingests live market data, maintains per-symbol in-memory state and publishes a ranked breakout board every second through a publish-subscribe and websocket layer that pushes straight to connected clients.
Background queues handle broker synchronisation, subscription billing, trading sessions and notifications asynchronously, so latency-sensitive scanning never competes with resource-intensive jobs. State persistence allows clean recovery after restarts, and centralised audit logging gives full operational visibility.
Key Features
Ranked breakout board refreshed every second.
Scanning separated from background processing entirely.
Accounts linked and reconciled automatically.
Trades correlated with behavioural and biometric data.
Product Showcase
Final Outcome
Traders see ranked breakouts as they form rather than after the fact, the scanner holds its cadence through peak volume because nothing else runs beside it, and behaviour is tracked alongside performance.
