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mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools
MlFinlab is a python package which helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools. This repo is public facing and exists for the sole purpose of providing users with an easy way to raise bugs, feature requests, and other issues.
finance machine-learning research trading investing portfolio-optimization quantitative-finance algorithmic-trading portfolio-management financial-machine-learningMahara - ePortfolio system
Mahara is a fully-featured web application to build your electronic portfolio. ePortfolio is a generic term which includes digital artifacts like documents, images, blogs, resumés, multimedia, hyperlinks and contact information. Mahara helps to mange digital artifacts. Its feature include File repository, Resume builder, Blog, Interoperable with Learning management systems and lot more.
artifact document-management-system artifcat-management portfolio portfolio-managementCryptoview - Elegant portfolio management for multi-exchange traders
Cryptoview is written to be forked and deployed on a free Heroku account. There is a web application component which handles updating and visualizing your positions and there is a scheduler component that periodically tracks your equity and stores it in a database. Ideally, you'll deploy the web application on Heroku and then run the scheduler locally. This will keep your Heroku account free since you won't pay for background dynos and allow you to access your portfolio from anywhere. The only thing you need to do is setup a free online database through mlab, edit a settings file, and deploy straight from Github. I've tried to make these steps as easy as possible.
cryptocurrency bitcoin ethereum litecoin portfolio portfolio-managementrl-portfolio-management - Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv
Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" by Jiang et. al. 2017 [1]. This paper trains an agent to choose a good portfolio of cryptocurrencies. It's reported that it can give 4-fold returns in 50 days and the paper seems to do all the right things so I wanted to see if I could acheive the same results.
portfolio-management deep-reinforcement-learning deeprl cryptocurrency openai-gym-environments openai-gym
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