For my part, we could close this issue just because I am sure they sniff the format of the string.
If you use sqliteman you get a TEXT and not "datetime" 

You can read this doc about the read_sql https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql.html

Now, sqlite3 does not support the datetime type and I think it is not the job of Python to do this operation but the caller (your code) but you can see the example in Doc/includes/sqlite3/pysqlite_datetime.py
```python
import sqlite3
import datetime

con = sqlite3.connect(":memory:", detect_types=sqlite3.PARSE_DECLTYPES|sqlite3.PARSE_COLNAMES)
cur = con.cursor()
cur.execute("create table test(d date, ts timestamp)")

today = datetime.date.today()
now = datetime.datetime.now()

cur.execute("insert into test(d, ts) values (?, ?)", (today, now))
cur.execute("select d, ts from test")
row = cur.fetchone()
print(today, "=>", row[0], type(row[0]))
print(now, "=>", row[1], type(row[1]))

cur.execute('select current_date as "d [date]", current_timestamp as "ts [timestamp]"')
row = cur.fetchone()
print("current_date", row[0], type(row[0]))
print("current_timestamp", row[1], type(row[1]))
```

```shell
2018-11-04 => 2018-11-04 <class 'datetime.date'>
2018-11-04 12:58:01.399669 => 2018-11-04 12:58:01.399669 <class 'datetime.datetime'>
current_date 2018-11-04 <class 'datetime.date'>
current_timestamp 2018-11-04 11:58:01 <class 'datetime.datetime'>
```