Historical Intraday (1 minute) NQ data

You could try FirstRate Data which has 1-minute bars for major US stocks and indices going back about ten years.
A few of the tickers also have 1-second historical bars, but not sure how many..
 
if you are after a licensed data provider, Portara is a verified supplier and have free sample data for you to test with. The intraday is in 1-min format and tick is in 1-milisecond. here's the link to their NQ Futures page.
 
Hello All,
After mailing many many dataproviders, still no positive feeback. Indeed why is this so hard. CME for instance mailed 5 times in last month, no responce up to date. So here is my Need:
[24H CME front month NQ Historical data, granularity 1 minute, updated every minute. to be extracted by API/phyton.] That is it. Does any of you know a dataprovider that is offering this. I need this to caculate and refresh my own indicators every minute. Thank You, Thank You......
 
minimalist said:
Hello All,
After mailing many many dataproviders, still no positive feeback. Indeed why is this so hard. CME for instance mailed 5 times in last month, no responce up to date. So here is my Need:
[24H CME front month NQ Historical data, granularity 1 minute, updated every minute. to be extracted by API/phyton.] That is it. Does any of you know a dataprovider that is offering this. I need this to caculate and refresh my own indicators every minute. Thank You, Thank You......
More...

Here you go:
  • Python ✅
  • NQ front month ✅
  • 1 min granularity ✅
  • Self-signup, no need to wait for an email reply ✅

Code: 
import databento as db

client = db.Historical('YOUR_API_KEY')

data = client.timeseries.get_range(
    dataset='GLBX.MDP3',       # CME
    schema='ohlcv-1m',         # 1-min aggregates
    stype_in='continuous',     # symbology by lead month
    symbols=['NQ.n.0'],        # front month
    start='2024-04-23',
    end='2024-04-24',
)

df = data.to_df(tz='US/Eastern')
print(df)
 
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