Hello,
Does anyone have a recommendation on the best way to find a developer that could work as a contractor on a project that I have. I am looking to bring in 1 minute bar data (historical) for testing purposes and then would also like to bring in the same data each day for real-time analysis for hundreds of symbols. Looking for someone who has performed this type of work before with IQFeed.

I am new to the forum and apologize if sending this type of message is against forum rules.

Rich

If you are looking for c++ style tooling, I have some IQFeed code libraries at:

https://github.com/rburkholder/trade-frame/tree/master/lib/TFIQFeed

https://github.com/rburkholder/trade-frame/tree/master/IQFeedMarketSymbols

https://github.com/rburkholder/trade-frame/tree/master/IQFeedGetHistory

For further info, my email is associated with that account.

Thanks Stargrazer! I am language agnostic (although I would prefer python, as that is the only language that I know a little). More important to me is to get help building a data pipeline that will feed the data into my environment. In an ideal world, I would get the real-time (1 min bar) data fed into something like a Google Big Query table on Google Cloud Platform (or an equivalent table on AWS). I do not have the skills to accomplish this myself and am looking to hire someone to help.

Any other suggestions are definitely welcomed.

The API to Big Query is well defined:

https://cloud.google.com/bigquery/docs/reference/rest/v2/

There are a number of official client libraries, with Python being one of them:

https://cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries

It is possible to call c++ from Python with Boost.Python.

On the other hand, there are others in the forums who have C# code (with C# being a native client library), could probably interface directly to Big Query.

There may be others who have Python code for handling the IQFeed interface.

If all you desire is 1 minute Bar updates, it may be straight forward to use python natively to talk to IQFeed, decode the inbound streams, build the bars and send them to Big Query. I could maybe accomplish that task a s special project, if no others are available. The issue here is that if you are dealing with 100(s) of symbols, and depending upon their liquidity, there may be performance issues with handling the inbound streams.

Something to which I have not looked, IQFeed may supply real time bars. If so, then performance issues may not be a problem.

In any case, you will need some sort of server on which the interface code and the IQFeed client will need to reside.

Thanks you Stargrazer. I am hopeful to get some more replies here but will review your Github and contact you there for followup

through an indirection of someone linking to me at github, I learned about:

https://github.com/akapur/pyiqfeed

A Python IQFeed library.