Optimizing query with &elemMatch inside array - mongodb

Question

First of all I'd to apologize for my english.
I have serious issue with performance on my query. Unfortunetly I'm pretty new to mongoDB. So i have collection test which looks similar to this
{
"_id" : ObjectId("1"),
[...]
"statusHistories" : [
{
"created" : ISODate("2016-03-15T14:59:11.597Z"),
"status" : "STAT1",
},
{
"created" : ISODate("2016-03-15T14:59:20.465Z"),
"status" : "STAT2",
},
{
"created" : ISODate("2016-03-15T14:51:11.000Z"),
"status" : "STAT3",
}
],
}
statusHistories is an array.
Daily there's more than 3000 records inserted into that collection.
What I want to achieve is to find all tests that have given status and they are beeten two dates. So I have prepared query like this:
db.getCollection('test').find({
'statusHistories' : {
$elemMatch : {
created : {
"$gte" : ISODate("2016-07-11 00:00:00.052Z"),
"$lte" : ISODate("2016-07-11 23:59:00.052Z")
},
'status' : 'STAT1'
}
}
})
It gives expected result. Unfortunetly it takes around 120 seconds to complete. Which is way too long. Surprisingly if I split this query into two seperate it takes way less:
db.getCollection('test').find({
'statusHistories' : {
$elemMatch : {
created : {
"$gte" : ISODate("2016-07-11 00:00:00.052Z"),
"$lte" : ISODate("2016-07-11 23:59:00.052Z")
}
}
}
})
db.getCollection('test').find({
'statusHistories' : {
$elemMatch : {
'status' : 'STAT1'
}
}
})
Both of them need less then a second in order to complete.
So what am I doing wrong with my original query? I need to take those records in one query but when I combine two elemMatch statements into one it takes ages. I tried to ensureIndex on statusHistories but it didn't work out. Any suggestion would be really helpfull.