Tool · Trading Bot Reliability

Trading Bot Health Score

Assess your trading bot's reliability across 12 key metrics in connectivity, order flow, error handling, and risk controls. Get an overall health grade (A–F) and a prioritized fix list.

12metrics
4categories
~5 minto complete

Most trading bot failures aren't caused by bad trading logic — they're caused by operational gaps: silent WebSocket drops, unhandled rate limits, missing idempotency, and no risk circuit breakers. This assessment scores your bot across the 4 categories that determine whether it survives in production or dies at 3 AM.

Connectivity

0%
WebSocket Uptime %(weight: 3×)

Percentage of time your WebSocket connection stays up during trading hours.

🟢 ≥ 99.5%🟠 95% – 99.4%🔴 < 95%
Ping Latency Trend(weight: 2×)

Is your ping latency stable or degrading over time?

🟢 Stable, within exchange baseline🟠 Spikes occasionally (1–2 per hour)🔴 Frequent spikes or degrading trend
Reconnection Success Rate(weight: 2×)

What % of reconnect attempts succeed on the first try?

🟢 ≥ 95%🟠 80% – 94%🔴 < 80%

Order Flow

0%
Order Success Rate(weight: 3×)

Percentage of orders accepted by the exchange without errors.

🟢 ≥ 99%🟠 95% – 98.9%🔴 < 95%
Duplicate Order Frequency(weight: 3×)

How often does your bot place duplicate orders?

🟢 Never (idempotency keys in use)🟠 Rarely (1–2 per week)🔴 Frequently (daily)
Order Latency (p95)(weight: 1×)

95th percentile latency from order submission to exchange acknowledgement.

🟢 < 200ms🟠 200ms – 500ms🔴 > 500ms

Error Handling

0%
4xx Error Rate(weight: 2×)

Percentage of requests returning 4xx errors (bad request, unauthorized, rate limited).

🟢 < 1%🟠 1% – 5%🔴 > 5%
5xx Error Rate(weight: 1×)

Percentage of requests returning 5xx errors (exchange server issues).

🟢 < 0.5%🟠 0.5% – 2%🔴 > 2%
Retry Amplification Ratio(weight: 2×)

How many retries are generated per original failure?

🟢 ≤ 1.5× (tight retry caps)🟠 1.5× – 3×🔴 > 3× (retry storm risk)

Risk Controls

0%
Max Position Size Compliance(weight: 3×)

Does your bot respect maximum position size limits?

🟢 Always enforced, never breached🟠 Enforced but occasionally near limit🔴 No enforcement or breached
Daily Loss Limit Status(weight: 3×)

Does your bot enforce a daily loss limit and stop trading when hit?

🟢 Enforced with automatic stop🟠 Monitored, manual stop🔴 No daily loss limit
API Key Permission Scope(weight: 2×)

Are your API keys scoped to the minimum required permissions?

🟢 Read + trade only, no withdraw, IP-restricted🟠 Read + trade, no IP restriction🔴 Full permissions including withdraw
0 of 12 metrics scored — answer all to see your grade

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Frequently asked questions

Frequently asked questions

How often should I run this health assessment?
Run it: (1) before deploying a new bot to production, (2) after any code change that touches order submission, WebSocket handling, or error recovery, (3) monthly as a routine checkup, and (4) immediately after any production incident. The goal is to catch degradation before it causes losses.
What's the most common failure pattern in trading bots?
Missing idempotency on retries. When an order times out, the bot retries — but the original order may have succeeded. Without idempotency keys, you get duplicate orders. This alone causes more financial damage than any other single issue. Second most common: no daily loss limit.
How do I fix a red score on a metric?
Each red metric shows a specific fix suggestion with tool links. In general: (1) Red metrics should be fixed before deploying, (2) Yellow metrics can be addressed in the next sprint, (3) The fix list is sorted by severity × weight — tackle items in order.
Can I use this for multiple bots?
Yes — assess each bot separately. Different strategies have different risk profiles. A market-making bot needs stricter latency and position controls than a DCA bot. Re-run the assessment for each bot instance.
What if all my scores are red?
Don't panic — that's actually the most valuable result. It means you've identified concrete problems before they cost you money. Start with the top 3 items in the prioritized fix list. Each fix suggestion links to a specific MatrixTrak tool that helps implement the solution.

What engineers say

What engineers say

The retry policy generator alone saved us from a production incident. We had exponential backoff configured wrong for months — the timeline visualization made it obvious instantly.
A

Alex R.

Senior Backend Engineer, Fintech Startup

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