Hi, How to convert .ncd tick data (ninjatraders futures data) to Zorro format? T6 or T8? OR how to download Rithmic futures data to Zorro? Conversion I can do from CSV to T6 / T8 I´ve seen the video instructions...

You’ll need to know the file format of the ncd files so that you can write a parser. What is the format?

thank you for the reply. Seems I can get data in .txt format also. Or .db format. I´m not sure how / where to get the file format. I could send one sample file. Not sure how to attach the file here... Could I send You an email? andrew@vitaltrades.com , right?

When you reply in the forums, you can attach files with the attachment manager. If for some reason your file is rejected, you can always try putting it in a zip file.

aok, thnx... been using the quick response window... Now I see attachment manager...

Well... data...:
1. have NT8 data > .ncd or exported TXT files. C attached
2. was able to convert quantowers (QT) .db database to CSV file via DB browser > C in excel
3. GPT was kind enough to convert QT .db file into Zorros T6 file directly, but ran out of session power for now so ... rechecking bit later also...

Thank you for your effort

L.

Hi, Clause 3 seems does not work... GPT prepares the file, but cannot download it: "code environment reset before you could download the generated .t6 file again." > many times... If you could help me to convert txt data from NT8 to Zorro t6 so I can make also price range bars it´ll be much appreciated, Thank you!
Or what it might cost for me?

Found also script here: https://zorro-project.com/manual/en/import.htm , but seems that script its not available on Zorro Control center and seems no point converting .txt to .CSV and then to t6, right?

Thank you

Well, the ncd files are in binary and not publicly documented. Some guy wrote a C# library that decodes it based on his own personal reverse engineering, so you can always play around with that:
https://github.com/jrstokka/NinjaTraderNCDFiles

Also, your GPT produced a CSV file that appears to be garbage. I don't recommend processing historical data with a GPT engine.

The TXT file, on the other hand, looks like it can be useful.

I grabbed a sample in the middle, which helps one to guess what's going on:No header, by the way, so I'm not sure what the columns are. But it looks like the first three are YYYYMMDD HHMMSS [fractional_seconds], and the very last column is probably volume.

Sort order is oldest to newest.

So if you can confirm the column IDs, the final script would be a piece of cake.