Cloud-native trading automation, with production-grade monitoring.
Multi-exchange trading stack built with Python and Rust, containerized with Docker, backed by PostgreSQL and deployed on AWS. Designed for reliability, traceability and real-time visibility via Prometheus/Grafana and Sentry.
API connectivity layer with robust logging and operational diagnostics.
Prometheus metrics + Grafana dashboards/alerts, Sentry for error tracking.
Telegram bot for instant alerts, metrics on-demand, and kill switch controls.
Workflow designed to support safe deployments and continuous improvement.
Automated execution with a focus on controlled operations and traceability.
Persisted state, events, and audit-friendly records for analytics.
Dashboards and alerts to surface anomalies and reduce time-to-diagnose.
Real-time Monitoring via Telegram
ℹ️ Note: The Telegram bot is a private monitoring tool for system operators. It provides real-time alerts, on-demand metrics queries, and emergency controls via Telegram commands.
Real-time notifications for critical events: position changes, funding received, risk alerts, system status updates, and emergency conditions.
Request real-time metrics via Telegram commands: P&L, positions, funding rates, risk metrics, and system health. Get instant responses with current status.
Emergency controls available via Telegram: close all positions, system status checks, and manual interventions. Full operational control from anywhere.
Architecture
Python/Rust services for strategy & order handling.
State, trades, telemetry and event logs.
KPIs, dashboards and alerting.
Error tracking and operational diagnostics.
Operational Metrics
283/283 tests passed (100% success rate)
5 Docker services · 2 Grafana dashboards
/health optimized: -90% latency, /metrics: -92%