Hashrate chart

This tool provides a comprehensive view of your facility's efficiency across various time periods and algorithms.

Selecting and analyzing algorithm data

To display data for a different algorithm, use the dropdown menu to select from the available options. The system will only show currently active algorithms. Algorithms are listed in descending order based on the number of devices associated with them, allowing for easy identification of the most widely used algorithms at your facility.

For a detailed analysis of algorithm performance, utilize the interactive chart features. The 1D chart provides precise 10-minute interval data, while the 1M and 1Y charts offer broader insights with hourly averages over longer timeframes. To customize your view, navigate between these periods using the tabs. Remember, the charts automatically refresh to ensure you always have the latest data.

Chart lines: Actual vs. Target

Focus on the Primary Line (solid) for real-time performance. Compare it with the Secondary Line (dashed) to spot discrepancies. The solid line represents the "Actual" hash rate, calculated by averaging performance over intervals (10 min/hour/day). The dashed line shows the "Target" hash rate, determined by submodel values.

Performance loss categories

The performance loss section identifies and analyzes hash rate discrepancies. If the actual rate is below the target, it provides details like absolute and percentage performance loss. It categorizes deficiencies as:

🔴 Dead:

Hashrate loss caused by devices or boards that are not recoverable. Tasks related to these devices were created and closed in Taskmanager with the status "Repair rejected" or "Not recoverable". These devices are permanently excluded from operation.

🟠 Broken:

Hashrate loss caused by devices that currently have active tasks in Taskmanager. The reason for the malfunction can vary — from being offline to low hashrate or hardware issues. These devices are pending repair or diagnostics.

🟡 Underhash:

Hashrate loss caused by devices that are working but performing below expected levels, and no task has been created for them yet in Taskmanager. This category highlights devices that require attention and task creation for further investigation.

The total loss percentage is not simply the difference between the actual hash rate and the target hash rate. This is because the actual hash rate may include devices with high-performance mode, which can affect the calculation.

Instead, the loss percentage is calculated individually for each device and then summed up based on its sub-model, ensuring a more accurate representation of total performance loss.

Real-time efficiency classification

Real-time monitoring sums 5-second hash rates for an algorithm. The hashrate is crucial as it indicates the mining performance of devices. Each rate is then categorized by efficiency:

• Green: ≥95%, indicating optimal performance.

• Yellow: 80-95%, showing moderate performance.

• Red: <80%, highlighting suboptimal performance.

Average hashrate over 24 hours

For the past 24 hours, the average hash rate is derived from the sum of 10-minute averages based on these 5-second values across all devices. The average efficiency measures how well the entire mining operation is performing over that period.

Maximum hashrate over 24 hours

Maximum hashrate indicates the highest processing power reached for an algorithm in the past 24 hours. It is calculated by summing the highest 10-minute hashrate values.

Realtime, average and maximum hashrate update every 30 seconds.

FAQ

How do I switch between algorithms?

Use the dropdown menu to select from available options. Only currently active algorithms are shown. They’re sorted in descending order based on the number of devices using each algorithm—helping you quickly spot the most popular ones at your facility.

How can I analyze algorithm performance?

Use the interactive chart features:

• 1D (1 Day): Shows precise 10-minute interval data.

• 1M (1 Month) & 1Y (1 Year): Display hourly averages over longer periods.

Switch between views using the tabs above the chart. Charts auto-refresh to keep data up-to-date.

What do the solid and dashed lines represent?

• Primary Line (Solid) = "Actual" hashrate, calculated as an average over time (10 min/hour).

• Secondary Line (Dashed) = "Target" hashrate, based on submodel expectations.

Use these lines to spot discrepancies in performance.

What is the performance loss section?

It explains why the actual hashrate might fall below the target. Losses are categorized as:

• Dead: Devices/boards are permanently non-functional. Tasks have been closed in Taskmanager as “Repair rejected” or “Not recoverable”.

• Broken: Devices currently have active tasks in Taskmanager. These could be offline, underperforming, or have hardware issues. They’re pending repair or diagnostics.

• Underhash: Devices that are underperforming but don’t have tasks created yet. These need manual attention for further investigation.

How is total performance loss calculated?

It’s not just the difference between actual and target hashrates. Some devices might operate in high-performance mode, which skews simple subtraction.

Instead, each device's loss is calculated individually, based on its sub-model, and then summed—giving a more accurate picture.

How is real-time performance tracked?

Every 10 minutes, the system sums hashrates for each algorithm:

• Green (≥95%) = Optimal

• Yellow (80–95%) = Moderate

• Red (<80%) = Suboptimal

This helps instantly assess mining efficiency.

How is the 24-hour average calculated?

It’s the sum of all 10-minute averages (based on 5-second values) across all devices. This reflects the overall operational performance for the past 24 hours.

What is maximum hashrate?

This is the highest processing power reached for an algorithm in the past 24 hours. It’s calculated using the peak 10-minute hashrate values.

How often is data updated?

Realtime, Average, and Maximum hashrates update every 30 seconds.

Why is monitoring hashrate important?

Because it allows you to:

• Detect performance drops or malfunctions early.

• Identify inefficient devices.

• Optimize your mining operation.

• Maintain maximum profitability.

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