Live servers crash again. Is there still a problem on your end?

The error "Algorithm took longer than 10 minutes on a single time loop" typically occurs when your algorithm is performing a task that is too computationally intensive, causing it to exceed the time limit set by QuantConnect's LEAN engine.

There are several potential causes for this error. It could be due to a large number of calls to the History method, a large History call inside a universe selection function, or a computationally intensive task such as training a machine learning model.

Here are some suggestions to resolve this issue:

1. Reduce the number of calls to the History method. This method is computationally expensive, especially when called with a large number of symbols or a long time period.

2. If you're using a universe selection function, try to optimize it. For example, in one of the discussions, a user was advised to replace the universe with a ManualUniverseSelectionModel and remove redundant code.

3. If you're training a machine learning model, consider reducing the complexity of the model or the size of the training data.

Here's an example of how you can optimize a universe selection function in Python:

def CoarseSelectionFunction(self, coarse):
    # sort the data by daily dollar volume and take the top '5'
    sortedByDollarVolume = sorted(coarse, key=lambda x: x.DollarVolume, reverse=True) 
    return [ x.Symbol for x in sortedByDollarVolume[:5] ]

Remember, these are just suggestions. The exact solution will depend on the specifics of your algorithm.

Sources:

• Runtime Error: Algorithm took longer than 10 minutes on a single time loop
• Machine Learning: Runtime Error: Algorithm took longer than 10 minutes on a single time loop
• Runtime Error: Algorithm took longer than 10 minutes on a single time loop
• Runtime Error: Algorithm took longer than 10 minutes on a single time loop