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
The architecture for EMA Alert System was shaped around the product workflow, integration boundaries and long-term maintainability. Technologies are used for specific responsibilities rather than added only to make the stack appear larger.
Provides the moving-average reference used by the breakout-monitoring strategy.
Evaluates defined conditions and identifies events that require attention.
Supplies time-sensitive price information to monitoring and signal workflows.
Runs repeatable rules and actions without continuous manual intervention.
Interface, business logic, persistence and external services remain separated so changes are easier to reason about.
Validation and predictable contracts protect downstream workflows from incomplete or unexpected input.
Runtime limits, secrets, external dependencies and failure paths are considered as part of the implementation.
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