IT Incident Response for Trading Systems
Market-hours-aware incident response for trading platforms, FIX gateways, and market data feeds. Auto-classify by market impact, pattern-match against known issues, and execute approved runbooks — avg. resolution in under 3 minutes.
When trading systems go down, every minute costs millions
A FIX gateway drops connections at 9:28 AM — two minutes before market open. A market data feed starts delivering stale prices during peak trading hours. A matching engine's latency spikes from microseconds to milliseconds. These aren't IT tickets that can wait in a queue. They're events that can cost your firm millions per minute in lost trades, failed executions, and regulatory exposure.
Your trading technology team is good — but they're human. During market hours, the pressure to resolve incidents fast leads to shortcuts, missed diagnostics, and incomplete root cause analysis. Pre-market incidents need to be resolved before the bell, and there's no margin for the 15-minute triage cycle that IT service management was designed for.
The diagnostic data exists — logs, metrics, traces, historical incident patterns. The runbooks exist — your team has documented the resolution steps for known issues. What's missing is an automated system that can ingest an alert, assess market impact, match it against known patterns, execute the approved remediation, and verify recovery — all before a human could finish reading the alert email.
From alert to resolution — before market impact
Alert Detection
Alerts stream in from monitoring platforms — Splunk, PagerDuty, Datadog, custom trading system monitors. SectorFlow ingests the alert, determines the affected system (FIX gateway, matching engine, market data feed, order management), and immediately classifies urgency based on current market state — pre-market, market hours, or after-hours.
Impact Assessment
The AI assesses market impact in real time — which trading desks are affected, what order flow is at risk, what counterparty connections are impacted, and what the financial exposure is per minute of downtime. During market hours, impact assessment triggers immediate escalation to trading floor leadership alongside the technical response.
Pattern Matching
The AI compares the current incident signature against your historical incident database — symptoms, affected systems, error codes, timing patterns. If it matches a known issue with a documented resolution, the AI immediately recommends the specific runbook. If it's a new pattern, the AI assembles diagnostic context for the on-call engineer.
Remediation (with approval)
For known issues with pre-approved runbooks, the AI can execute remediation automatically — restarting services, failing over connections, clearing queues, or applying known fixes. For higher-risk actions, the AI presents the recommended remediation to the on-call engineer for one-click approval. Every action is logged with timestamps and authorization records.
Recovery Verification
After remediation, the AI verifies recovery — checking system health metrics, connection status, order flow resumption, and latency normalization. Counterparties and trading desks are notified of resolution. A complete post-incident report is generated automatically, including timeline, root cause, remediation steps, and recommendations for prevention.
This isn't a ticketing system — it's a trading infrastructure operations engine
Every capability your trading technology team needs, built in from day one.
Market-Hours Awareness
Automatically adjusts urgency, escalation paths, and response SLAs based on market state — pre-market, market hours, after-hours, and holiday schedules across global exchanges.
FIX Protocol Diagnostics
Understands FIX session states, message sequence gaps, heartbeat failures, and connection lifecycle — providing protocol-level diagnostics that generic monitoring tools miss.
Latency Monitoring
Tracks end-to-end latency across the trade lifecycle — from order entry to exchange acknowledgment. Detects latency anomalies at microsecond granularity and correlates with infrastructure events.
Automated Runbooks
Pre-approved remediation steps for known issue patterns — service restarts, failovers, queue clears, connection resets. Executes automatically or with one-click approval, depending on risk level.
Counterparty Notification
Automatically notifies affected counterparties, trading desks, and operations teams about incidents and resolutions — with appropriate detail levels for each audience.
Post-Incident Analysis
Generates comprehensive post-incident reports automatically — timeline, root cause, impact assessment, remediation steps, and prevention recommendations. Ready for management review and regulatory reporting.
Connects to the systems you already run
ServiceNow
Splunk
PagerDuty
Microsoft Teams
Don't see your trading infrastructure monitoring platform? We integrate with any system via API. Talk to us.
What trading technology teams are seeing
Avg. resolution time
Pre-market resolution rate
Saved per incident
Based on pilot deployments. Your results will depend on system complexity, incident patterns, and runbook coverage.
"We had a FIX gateway issue at 9:15 AM on a Monday — 15 minutes before market open. In the old world, that's a scramble: pages go out, engineers dial in, someone pulls up logs, they start troubleshooting under pressure. By the time we'd have resolved it manually, we'd have missed the open. With this flow, the AI detected the issue, matched it to a known pattern from three months ago, executed the approved runbook, and verified recovery — all before 9:18 AM. The trading desk didn't even know there was an incident until they read the post-mortem."
— Head of Trading Technology, Multi-Asset Broker-Dealer
Frequently Asked Questions
See What 3-Minute Incident Resolution Looks Like for Your Trading Floor
Book a 30-minute discovery call. We'll walk through the Trading Incident Response flow with your systems and your runbooks.
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