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Quarterly Open-Source Trading Competition

The Open-Quant League is a quarterly competition between universities and investment clubs for the best-performing strategy. The previous quarter's code is open-sourced, and competitors must adapt to survive.

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About Quant League

The Open-Quant League is a quarterly competition between universities and investment clubs for the best performing strategy. Previous quarter's code is open-sourced, and competitors must adapt to survive.

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Open Source

Hi,

Will the core engine be made open source with a licence like Apache so the community can contribute features this they want?

Suminda

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Suminda Sirinath Salpitikorala Dharmasena

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Jared Broad

STAFF ,

Hey @Suminda, we're thinking about it. We'll definitely open source some parts so you can contribute. We just posted the IAlgorithm base class on GitHub so you can see the available functions. We're tidying up a common library which holds the SecurityManager and SecurityPortfolioMananger and transaction models now for releasing to GitHub. Hopefully it will be posted next week -- follow us on GitHub to be notified when it goes up.

Suminda Sirinath Salpitikorala Dharmasena

20 ,

Looking forward to seeing the engine and backtester FOSSed.

Joyanta

2.1k ,

Hi, I have downloaded the code in git hub. Are you using mono-project.com? Or using microsot.net ? Should we want to contribute to Github can you let us know what dev tools to use? Joyanta

Seth Bakhtiari

110 ,

Great question, I've been looking for someone to ask this for a while :) Thanks joyanta, really appreciate your help

Joyanta

2.1k ,

Hi Seth, Cheers for the reply. On a different point. I know that there is another system (but in python). Which I know is very active very "open". I think it may prove to be really smart to keep it open. As C# developer I hope this is very open. Joyanta

Jared Broad

STAFF ,

Hey @Joyanta, thanks for the suggestions. We're definitely going to open source all the algorithm libraries so you can develop custom indicators, API end points etc. Sorry its taken so long its a bit of a mess! The compiler infrastructure/mechanics are fairly specialized and I'm not sure it would make sense to open source that side but we're considering it. There are a few competing websites out there, none anywhere near our speed or quality of data. I'm hoping you'll help us build a strong thriving community as well! :) We can support any programming language as well - so in the next months will be rolling out python. If you have a preferred language let us know

Suminda Sirinath Salpitikorala Dharmasena

20 ,

Makes sense to FOSS the compiler part also. FOSS version will be less useful without the compiler inf. Since you are working on python have a look at: http://gbeced.github.io/pyalgotrade/ and also zipline but the former is more nicer. Another feature is that you can pre load a defined history to a pandas timeseries. Very helpful if this is possible as many algos will use numpy and pandas. Last but not least it comes down to optimisation of python code. Use numba and perhaps pypy or others. Competition can be slow on this. As for languages Scala / Akka, Groovy / GPars, and Julia (http://julialang.org/) will do a world of difference. Suminda

Suminda Sirinath Salpitikorala Dharmasena

20 ,

Also the good old C++ would be helpful. In which case try D as well (Nicer version of C++ but can use any C++ code).

Suminda Sirinath Salpitikorala Dharmasena

20 ,

Perhaps you can do the C++ implementation through the D route

Jared Broad

STAFF ,

Julia's pretty amazing, but to start I think we have to target to biggest segments so we'll do python, C# and hopefully a generic .NET handler so can accept any .NET language that matches the Interface. That said - we have plenty now to get started on algorithms for now.

Joyanta

2.1k ,

This is a really good info. I am happy. J

Suminda Sirinath Salpitikorala Dharmasena INVESTOR

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