Uptime and downtime are measures of service availability: how much of the time the exchange was running without issues and how much it was unavailable. For a trader, both the platform’s reputation and its infrastructure reliability matter.

This article explains what uptime and downtime are, how they are calculated, what to check when choosing an exchange, and how to reduce risk during outages.

What Are Uptime and Downtime

Uptime is the share of time the service was available and working normally. Downtime is the time when the service was unavailable or severely degraded. In plain terms: uptime answers “what percentage of the time was the exchange available,” downtime — “how long it was down or severely impaired.”

Both are usually expressed as a percentage over a period (month, year) or as hours/minutes of outage. Uptime formula:

Uptime (%) = (Time operational / Total period time) × 100

Example: over a month (720 hours) the exchange was down 3 hours. Uptime = (717 / 720) × 100 ≈ 99.58%. Downtime is 3 hours or about 0.42% of the period.

What Counts as Downtime

• Full unavailability of the site or API (users cannot log in or execute requests).
• Partial outage: some functions down (e.g. spot only or futures only), trading halted while the UI works.
• Severe lag making order execution unreliable or impossible within a reasonable time.

Brief “hiccups” of a few seconds may not appear in public stats but, if frequent, they still affect trading quality. Understanding infrastructure reliability helps with risk planning and avoiding critical exposure on a single venue.

Why Traders Should Care About Exchange Uptime

During downtime, traders cannot manage positions properly: close a trade, change a stop-loss, or cancel an order. Price keeps moving during an outage — with an open position that is direct risk. On a volatile market even a short outage can lead to unwanted outcomes.

Main risks during outages:

• Cannot close a position — price can move against the open position while the exchange is down.
• Slippage and worse fills — after recovery, orders may execute late and at worse prices.
• API failures — trading bots and scripts stop receiving data and sending orders; automated strategies (including DCA or grid) do not run as planned.
• No access to funds — withdrawals and sometimes internal transfers are unavailable during the outage.

The higher the share of trading on one exchange and the more critical the positions, the more important it is to choose venues with strong uptime history and clear communication during incidents. General capital protection principles are covered in risk management in crypto trading with bots.

How Exchange Availability Is Measured

Platform reliability is assessed from several sources.

Public Status Pages

Many exchanges run a status page showing current state of services (trading, API, withdrawals, web interface) and incident history. This gives the official view: when an outage occurred, which systems were affected, and when service was restored.

Examples:

• Binance: status.binance.com
• Bybit: status.bybit.com
• Kraken: status.kraken.com

Availability Reports

Some exchanges publish monthly or yearly reports with uptime percentages for main services. Useful for comparison, but calculation methods can differ (what counts as “available,” which regions and nodes are included).

Third-Party Monitoring

Independent services periodically probe exchange sites and APIs from different locations and build availability charts. They help assess uptime “from outside,” but coverage and frequency vary — treat as one input, not the only source.

Examples:

• DownDetector — real-time user complaints
• CryptoStatus — crypto exchange and wallet monitoring

When choosing an exchange, combine: official status, external monitoring, and user reports of recent incidents. For automated trading, choose exchanges with 99.5%+ uptime — such exchanges are in the list of supported platforms on Veles.

Typical Causes of Downtime

Scheduled maintenance — system updates, migrations, capacity expansion. Usually announced in advance and done in low-activity windows. Short planned unavailability is still downtime.

Overload — a traffic spike (pump, crash, listing of a popular asset) causes lag, timeouts, or full unavailability. Infrastructure quality shows in these moments.

DDoS attacks — deliberate overload of infrastructure. Major exchanges usually have protection, but attacks can cause short or local outages.

Internal incidents — hardware failure, bad deployments, human error. They reflect operational quality and response speed.

External factors — issues at the cloud provider, network outages, sanctions or blocks in some regions. Not always under the exchange’s control but still affect availability for some users.

Understanding causes helps judge how serious an incident is and how often similar issues might recur. For strategies that depend on stable exchange operation (e.g. grid trading or backtests followed by live deployment), uptime and incident history are important selection criteria.

What to Look For When Choosing an Exchange

When picking a venue for crypto trading, consider not only fees and pair coverage but also reliability.

Uptime and incident history — how often and how long the exchange has been down over the last year. One short outage can be an exception; repeated or long outages are a red flag.

Transparency — presence of a status page, published reports, and post-mortems (what went wrong and what was done). Willingness to describe incidents openly indicates mature processes.

Communication during outages — how quickly and clearly the platform communicates (site, socials, email). This affects the ability to react (e.g. avoid new positions or move activity elsewhere).

Fallback channels — ability to trade via a mobile app when the web version has issues or vice versa. For algo trading: API stability and documentation on limits and throttling under load.

It also helps not to keep all capital on one venue and not to rely on a single point of failure.

Summary

Uptime and downtime show how stable an exchange is. Traders should understand that during an outage they cannot manage positions normally and bots stop working. Assess reliability using status pages, reports, and third-party monitoring; when choosing an exchange, look at incident history, transparency, and communication during outages. Diversifying across venues and sound capital management reduce risk.

For reliable API trading with high uptime, platforms like Veles support multiple exchanges with 99.5%+ uptime and automatic failover.

FAQ

What is uptime in simple terms?

Uptime is the share of time a service (e.g. an exchange) was available and working normally. It is expressed in percent: 99.9% uptime means about 0.1% of the period was downtime.

Why is exchange downtime dangerous for traders?

During downtime you cannot log in, close a position, change a stop, or cancel an order. Price can move against you and bots stop executing strategies. So both exchange stability and sensible risk management matter.

How can I find an exchange’s uptime?

Check the exchange’s official status page and availability reports (if published), plus data from independent monitoring services. Relying on a single source is not enough — cross-check several.

Why do exchanges go down during pumps or crashes?

A sudden traffic spike overloads servers and network. Infrastructure readiness for peak load is tested in those moments; resilient platforms have shorter and rarer outages.

What if the exchange is down while I have an open position?

Have a plan in advance: e.g. duplicate stop orders on another venue (if the same asset is traded there), or limit position size on any single exchange.

Should I care about uptime when choosing an exchange for bots?

Yes. Bots rely on the API; during downtime or heavy lag, orders do not execute on time and strategies (DCA, grid, etc.) break. API stability and outage history are important for algo trading.