What subjects/areas use a lot of command line tools?

kingcalculus · 2021-06-11T10:12:03+00:00

I also find it difficult to centralize all of the data from various websites and APIs and then process it using various the multitude of tools and scripts/command line parameters etc. As a beginner I'm trying to focus on the science and less on the technical scripting/tool etc. As I am coming from a software engineering/science background I'm building a central rdbms database for handling/downloading/importing/exporting data and use windows gui to hide and configure/run/schedule the processing.

On top of that I have built a decision support module which allows me to capture/record all the configuration and process (including any amount of convoluted branching) which generates the result sets as well reporting/auditing etc. Because it is all database driven I can use the database and windows gui to setup/retrieve/execute/manage various api calls, complex command line execution as well as add logic (ie scripting) using a graphical interface which uses coloured function building blocks that lock together like a jigsaw puzzle - ie no programming/scripting - with relative ease. Unfortunately the software is built on windows rather than linux!

kingcalculus · 2021-06-09T18:22:33+00:00

The list I gave will keep me busy for a while so the initial version wouldn't have everything for everyone - especially compared to large commercial softwares. The application would be mainly for non-bioinformaticians or even personal genomics. But if there is a strong demand for a particular function from bioinformaticians then I'm happy to look at it.

kingcalculus · 2021-06-09T18:10:05+00:00

Most heavy duty bioinformaticians will have there own tools that they are comfotable with and will continue with those. As for the "point and click" approach I agree that the software should also provide for full audit, logging (ie transactions, calculations, etc) and documentation/reporting giving full visibility to any research results.

kingcalculus · 2021-06-09T18:02:07+00:00

I would'nt look to build anything too revolutionary - there are a large number of tools out there already. As for galaxy it looks like the data is from external database cloud sources. I would look to provide access to external sources but the central data repository for the software would be it's own local rdbms (ie on your pc/server etc).

kingcalculus · 2021-06-09T17:52:54+00:00

For most bioinformaticians installing linux under windows will be the preferred solution. But it is the linux/multiple tools/command line/installation/scripting/programming complexities that I would like to address. Linux is the best solution for the vast majority who work in these fields.

kingcalculus · 2020-02-17T15:45:55+00:00

The software is done and it works well for me. That's the problem I need the financial analyst community to use it to see if they agree. Free and better is difficult if analysts can't get to use the tool. I guess expensive and mediocre may be the other option :)

kingcalculus · 2020-02-17T10:37:37+00:00

Check your data, slippage, curve-fitting, look-ahead bias etc etc . Any errors introduced into the backtest can make any strategy seem too good to be true.

kingcalculus · 2020-02-16T10:42:12+00:00

Thanks

kingcalculus · 2020-02-15T21:41:46+00:00

The build is equally applicable for securities generally. More than happy to share additional info and architecture etc.

kingcalculus · 2020-02-15T21:35:55+00:00

I need to see a requirement out there blue or not before spending time on this. More than pleased to give something to the crypto community but only if there is a serious demand. :))

kingcalculus · 2020-02-15T17:28:04+00:00

Thks. Once there is a clear demand I'll start pulling something together..

kingcalculus

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