different time frame for different tickers[Bug]

[UmarIgan]

Problem So I trying randomly get some ticker data with outputsize=1000 and 5 minute time frame but it seems that one of the ticker starts from date: 2022-11-30 10:40:00 while other starts from date: 2022-10-17 11:35:00. I am wondering if this about that there were no trades during those times? Here what I want to to do is get 5 tickers close values and join them on the same date index. The tickers I tested belongs to nasdaq. I am sure this is not a bug but how can avoid such things here, can I take missed values too as null values?

SMTC: this ticker starts from 2022-11-30 10:40:00 CCRD: this ticker starts from 2022-10-17 11:35:00 Reproduce

import pandas as pd
from twelvedata import TDClient
td = TDClient(apikey="")
symbol = 'SMTC'
interval = '5m'
df = td.time_series(symbol=symbol, interval='5min', outputsize=1000).as_pandas()
symbol2 = 'CCRD'
df2 = td.time_series(symbol=symbol2, interval='5min', outputsize=1000).as_pandas()

Expected behavior A clear and concise description of what you expected to happen.

Screenshots

• tested on Google Colab

[midasSSS]

If there are no trades during the candle (i.e. 5min interval), then we don't add it. As can be seen, CCRD has low volumes and therefore contains less data.