dMLTquant's starred repositories
PSVirtualDesktop
VirtualDesktop is a Powershell module that provides commandlets to manage virtual desktops of Windows 10.
TradingView-data-scraper
Extract price and indicator data from TradingView charts to create ML datasets
OpenBB-Creaton
Investment research with OpenBB SDK.
docker-stacks
Ready-to-run Docker images containing Jupyter applications
Justified-Gallery
Javascript library to help creating high quality justified galleries of images. Used by thousands of websites as well as the photography community 500px.
The-Python-Graph-Gallery
A website displaying hundreds of charts made with Python
dash-bootstrap-templates
A collection of 52 Plotly figure templates with a Bootstrap theme. Two theme switch components. Stylesheet to apply Bootstrap themes to Plotly Dash components.
ds-simple-plotly-dash-template
Simple dashboard template with plotly and dash deployed on heroku
Dash-User-Management
A template Plotly Dash app in Python, with basic user management & authentication
openai-whisper-voice-commands
use openai to trade stocks with your voice
ecb_scraper
Simple API that scraps exchange rates from European Central Bank RSS feed.
scraper-RSS
scraper RSS for The European Central Bank
ECB-Scrapper
European Central Bank currencies scrapper
support_resistance
Small package that helps to find support and resistance levels and plot them on chart
rl-trader
This MLOps project productionizes a Deep Reinforcement Learning agent with a scalable, distributed data streaming infrastructure using Kafka and Ray. A thorough walkthrough of the code is described in this article on medium: https://ryanraymartin.medium.com/deep-reinforcement-learning-for-stock-trading-with-kafka-and-rllib-d738b9634675
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
ctc-executioner
Master Thesis: Limit order placement with Reinforcement Learning