django perform queryset so slow - django

Question

I'm making a django app that calculates popularity from google trends.
I tried to annotate the calculated values from graph data.
However, it took about 5 seconds to execute this queryset. (Using sqlite3, postgresql)
I have a few questions here.
I wonder why it is so slow.
I wonder if it can be improved.
annotate code
class DefaultCalculator(BaseCalculator):
def annotate_score(self, queryset, name):
qs = super().annotate_score(queryset, 'self_score')
qs = self.annotate_std_score(qs, 'std_score')
qs = self.annotate_std2_score(qs, 'std2_score')
score = (
F('self_score') /
(F('std_score') + F('std2_score') + F('self_score'))
* 100
)
return qs.annotate(**{name: score})
def annotate_std_score(self, queryset, name):
std_score = Avg(
'standard__graph__date_points__value',
filter=Q(standard__graph__date_points__date__gte=now() - timedelta(days=self.base_days))
)
return queryset.annotate(**{name: std_score})
def annotate_std2_score(self, queryset, name):
std2_score = Avg(
'standard2__graph__date_points__value',
filter=Q(standard2__graph__date_points__date__gte=now() - timedelta(days=self.base_days))
)
return queryset.annotate(**{name: std2_score})
query
SELECT
"django_popularity_popularity"."id",
"django_popularity_popularity"."mid",
"django_popularity_popularity"."created",
"django_popularity_popularity"."updated",
"django_popularity_popularity"."title",
"django_popularity_popularity"."type",
"django_popularity_popularity"."geo",
"django_popularity_popularity"."standard_id",
"django_popularity_popularity"."standard2_id",
"django_popularity_popularity"."graph_id",
1080 AS "base_days",
AVG(
"django_popularity_dategraphpoint"."value"
) FILTER (
WHERE
"django_popularity_dategraphpoint"."date" >= 2019 - 09 - 30
) AS "score",
AVG(T6."value") FILTER (
WHERE
T6."date" >= 2019 - 09 - 30
) AS "std_score",
AVG(T9."value") FILTER (
WHERE
T9."date" >= 2019 - 09 - 30
) AS "std2_score"
FROM
"django_popularity_popularity"
INNER JOIN "django_popularity_graph" ON (
"django_popularity_popularity"."graph_id" = "django_popularity_graph"."id"
)
LEFT OUTER JOIN "django_popularity_dategraphpoint" ON (
"django_popularity_graph"."id" = "django_popularity_dategraphpoint"."graph_id"
)
INNER JOIN "django_popularity_standard" ON (
"django_popularity_popularity"."standard_id" = "django_popularity_standard"."id"
)
INNER JOIN "django_popularity_graph" T5 ON (
"django_popularity_standard"."graph_id" = T5."id"
)
LEFT OUTER JOIN "django_popularity_dategraphpoint" T6 ON (T5."id" = T6."graph_id")
INNER JOIN "django_popularity_standard" T7 ON (
"django_popularity_popularity"."standard2_id" = T7."id"
)
INNER JOIN "django_popularity_graph" T8 ON (T7."graph_id" = T8."id")
LEFT OUTER JOIN "django_popularity_dategraphpoint" T9 ON (T8."id" = T9."graph_id")
GROUP BY
"django_popularity_popularity"."id",
"django_popularity_popularity"."mid",
"django_popularity_popularity"."created",
"django_popularity_popularity"."updated",
"django_popularity_popularity"."title",
"django_popularity_popularity"."type",
"django_popularity_popularity"."geo",
"django_popularity_popularity"."standard_id",
"django_popularity_popularity"."standard2_id",
"django_popularity_popularity"."graph_id"
full source