Real-time trading alerts
An automated monitoring system that identifies EMA 20 breakouts, generates timely trade alerts and reduces false signals.
01 / Project story
Continuous chart monitoring is time-consuming, and basic crossover alerts can generate noisy signals.
An automated watcher evaluates EMA 20 breakouts and applies signal rules before delivering timely alerts.
02 / Product capabilities
Designed as part of a cohesive real-time trading alerts experience, with clarity, reliability and practical use in mind.
Designed as part of a cohesive real-time trading alerts experience, with clarity, reliability and practical use in mind.
Designed as part of a cohesive real-time trading alerts experience, with clarity, reliability and practical use in mind.
Designed as part of a cohesive real-time trading alerts experience, with clarity, reliability and practical use in mind.
03 / Benefits
Saves monitoring time
Encourages rule-based decisions
Delivers timely signals
04 / Trade-offs
Indicators cannot guarantee outcomes
Market-data quality and latency affect signals
05 / Technology stack
06 / Delivery approach
Understand the users, business objective and constraints.
Map the core journey and reduce unnecessary interaction.
Implement maintainable interfaces, services and data flows.
Test behavior, responsiveness and failure paths before release.
Project by Sandipan Das