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CITATION.cff
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Knag
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Alberto
family-names: Zugazagoitia
email: [email protected]
orcid: 'https://orcid.org/0009-0006-7700-4386'
identifiers:
- type: url
value: 'https://oa.upm.es/75023/'
repository-code: 'https://github.com/zugazagoitia/knag'
abstract: >-
Algorithmic and automated trading is out of the scope of
retail investors, due to the technical complexity of it as
well as the costs of development.
Some brokers offer this service but at an upfront cost and
a monthly fee. Users depend on the broker's platform and
servers to execute the trades, giving the broker too much
control over the user's data and trading activity.
The solution implemented in this project is a customizable
FOSS automated trading platform that can be used by retail
investor communities to implement their trading strategies
and by individual investors to automate their trading
activity.
The platform is designed to be highly scalable and
available, developed with a cloud-first approach, and
using the latest technologies in the field of distributed
systems, such as Kubernetes and public cloud providers'
specific services.
The specific implementation of the trading bot is out of
the scope of this project. Nonetheless, the platform is
designed to be easily extensible and customizable, through
the use of docker containers.
license: AGPL-3.0