Grafana

A Quant Strategy Needs More Than Just Code: Building Your Complete Monitoring & Alerting Stack Running a quant strategy requires far more than the strategy itself—you need a full suite of tools to execute it reliably, monitor its state, and get alerted when things go wrong. This post shares my complete tooling setup, from strategy execution through alerts. Overall Architecture Strategy Layer (Python) ↓ Trading Orders Binance API ↓ Execution Results State Files / CF KV ↓ Metrics Prometheus + node_exporter ↓ Storage Grafana Visualization ↓ Alert Rules Alertmanager → Telegram Strategy Execution Layer Tech Stack Language: Python 3.11 Binance SDK: python-binance Scheduled Tasks: APScheduler or system cron Dependency Management: requirements.txt + venv Directory Structure quant/ ├── strategy/ │ ├── main.py # Core strategy logic (signal generation + order placement) │ ├── signals.py # Indicator calculations (technical indicator library) │ └── risk.py # Position sizing, stop-loss logic ├── exchange/ │ └── binance_client.py # Binance API wrapper ├── monitor/ │ └── exporter.py # Expose state metrics in Prometheus format ├── config/ │ └── settings.py # Configuration (read from environment variables) └── run.py # Entry point Key Code: Exposing State Metrics While your strategy runs, write key metrics in Prometheus text file format for node_exporter to scrape: ...

Running quant strategies and proxy nodes without monitoring is extremely risky. Out-of-memory crashes at 3 AM, disks filling up, strategies crashing—without alerts, you might not notice for hours. This guide builds a complete monitoring stack from scratch: Node Exporter collects metrics on each monitored machine, Prometheus aggregates and stores them, Grafana visualizes the data, and Telegram delivers alerts. Architecture Monitored VPS (N machines) Central Monitoring VPS (1 machine) ┌──────────────┐ ┌─────────────────────┐ │ Node Exporter│ ──9100──→ │ Prometheus │ │ Node Exporter│ ──9100──→ │ (collect & store) │ │ Node Exporter│ ──9100──→ │ Grafana │ └──────────────┘ │ (visualize) │ │ Alertmanager │ │ (alerts) │ └─────────────────────┘ The approach: dedicate a small VPS (1 core, 1 GB RAM is plenty) as the monitoring hub; install Node Exporter on all other machines to expose metrics. ...