I was trying the Tensorflow algo, but when I changed the scheduled (from daily to 10 min)
self.Schedule.On(self.DateRules.EveryDay(self.symbol),
self.TimeRules.Every(timedelta(minutes=10)),
Action(self.Rebalance))
and the update on history from Daily to Minute
self.History([self.symbol,], 1, Resolution.Minute).astype(np.float32)
i get
<Error>
<Code>AccessDenied</Code>
<Message>Access Denied</Message>
<RequestId>D3CE2BCF0691923C</RequestId>
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From the logs download right?
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I have this backtest error
Failed to initialize algorithm: Initialize(): Python.Runtime.PythonException: NameError : global name 'timedelta' is not defined
at QuantConnect.AlgorithmFactory.Python.Wrappers.AlgorithmPythonWrapper.Initialize () [0x00045] in <8ee2db19b5ee483188e2cc7d13311b07>:0
Try this a see if it works.
self.TimeRules.Every(TimeSpan.FromMinutes(10))
Case with logs and no access:
I get such an error now and then when backtesting, but pretty rarely. I delete the backtest and re-run, usual the log is accessible on the second try.
Issue with “timedelta”:
To use this as shown in the docs I believe you may need to import this functiion from datetime like:
from datetime import timedelta
Hi Derek and AutomatedMachine,
Both options worked:
1 Including in python "from datetime import timedelta" to resolve the timedelta
2. Using self.TimeRules.Every(TimeSpan.FromMinutes(10)) instead of "self.TimeRules.Every(timedelta(minutes=10))
thanks
Carlos
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