Making financial research more efficient and transparent

The quantamental platform is an open project collecting tools that facilitate and support finance related research and idea generation.

The Future
TECHNOLOGIES WE TRUST
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Find useful tools, gain insights and share your own applications online

Let’s collaborate and make great things happen

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For Researchers.

Gain insights, generate ideas and make your daily work more efficient and enjoyable.

Browse our platform for finance related analytical applications with the potential to streamline your workflow or provide you with new findings hidden in the vast amount of data available today.

For Collaborators.

You are a finance student, academic, intern or professional with a great idea but neither a server nor a full stack developer or IT professional at hand? Your IT department is busy with other stuff or your firm’s security settings don’t even allow you to download Anaconda?

You have already developed a Shiny application but you are not pleased with the performance of and you don’t know how to deploy and scale it? Reach out to us and we take care of it for you.

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Scalable.

Built on modern Docker technology, thanks, to shinyproxy, our setup allows your apps to scale effortlessly. Say goodbye to single threaded Shiny apps and capture the full potential of your idea.

About the platform

Shiny, Dash or Flask have made the development of interactive, sophisticated apps incredibly simple. Data scientists and researchers can turn their analytical R or Python scripts into a web application in no time without going through the hassle of dealing with html, php, css.

This allows the quick development of all kind of useful tools that benefit the day to day work of practitioners and help generating valuable insights. It also offers new possibilities to academic researchers who can support their findings and make research results reproducible for everyone and even live.

The difficulty of deployment

However, the effective deployment of such web apps is still not a trivial task. Shiny as the most commonly used example is single threaded, meaning that it only performs one task at a time resulting in users blocking each other.

Once an app includes longer running tasks this can turn into a problem even with a very low number of users and qua definition makes it impossible to scale an app.

Hence, unless you are willing to pay for premium services you are likely end up with highly subdued performance or the need to acquire quite a bit of knowledge about containerization and the management of a docker environment.

Our initiative

It took us quite a while to configure our servers in a way that finally allowed us to deploy our first small Shiny app in a scalable fashion. This app was only planned as a nice gadget supplementing a research publication but ended up costing us way more time than the actual paper.

This is why we have decided to open up this project and invite like-minded researchers and developers to put their ideas on this platform.

Let us know your ideas, submit your project and we will deploy it for you.

We would love to hear about your projects

You can get in contact with us using the form below.

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