7458f1be01
✅ Validation Results: - PPO training: 24.2s (1 epoch, 950 samples, dim=225) - Feature extraction: 105μs/bar (9.5x faster than target) - Model checkpoint: 293KB (147KB actor + 146KB critic) - GPU memory: 145MB used (96.4% headroom) - Zero dimension mismatches 📊 Success Criteria (5/5): ✅ Feature dimension = 225 (Wave C 201 + Wave D 24) ✅ Model state_dim = 225 ✅ Training completed without errors ✅ Checkpoint saved successfully ✅ No dimension mismatch errors 📁 Training Data Ready: - ES.FUT: 2.9MB, 180 days - NQ.FUT: 4.4MB, 180 days - 6E.FUT: 2.8MB, 180 days - ZN.FUT: 65KB, 90 days (clean) 🚀 Next: Full production model retraining (4 models, ~10min GPU time) 🤖 Generated with Claude Code (https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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Grafana Setup Guide
Last Updated: 2025-10-22 Version: Grafana 10.1+
Installation
# Grafana is installed with kube-prometheus-stack
# Access Grafana
kubectl port-forward -n monitoring svc/prometheus-grafana 3000:80
# Get admin password
kubectl get secret -n monitoring prometheus-grafana -o jsonpath="{.data.admin-password}" | base64 --decode
Dashboard Import
Foxhunt Trading Dashboard
{
"dashboard": {
"title": "Foxhunt Trading System",
"panels": [
{
"title": "Order Submission Rate",
"targets": [
{
"expr": "rate(orders_submitted_total[5m])"
}
]
},
{
"title": "API Gateway Latency P99",
"targets": [
{
"expr": "histogram_quantile(0.99, rate(grpc_request_duration_seconds_bucket{service=\"api-gateway\"}[5m]))"
}
]
},
{
"title": "Active Positions",
"targets": [
{
"expr": "positions_open_total"
}
]
},
{
"title": "Database Connection Pool Usage",
"targets": [
{
"expr": "pg_stat_database_numbackends / pg_settings_max_connections * 100"
}
]
}
]
}
}
Alert Configuration
Critical Alerts
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: foxhunt-alerts
namespace: foxhunt
spec:
groups:
- name: foxhunt-critical
interval: 30s
rules:
- alert: HighErrorRate
expr: rate(grpc_requests_total{code!~"2.."}[5m]) > 0.1
for: 5m
labels:
severity: critical
annotations:
summary: "High error rate detected"
description: "Error rate is {{ $value | humanizePercentage }}"
- alert: HighLatency
expr: histogram_quantile(0.99, rate(grpc_request_duration_seconds_bucket[5m])) > 1
for: 5m
labels:
severity: warning
annotations:
summary: "High latency detected"
description: "P99 latency is {{ $value }}s"
- alert: DatabaseDown
expr: up{job="postgresql"} == 0
for: 1m
labels:
severity: critical
annotations:
summary: "PostgreSQL is down"
End of Grafana Setup Guide