mateomarks

mateomarks's Stars

• ranaroussi/quantstats

  Portfolio analytics for quants, written in Python

  Language:Python4.8k834

• dusty-nv/jetson-containers

  Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

  Language:Python2.1k440

• robertmartin8/PyPortfolioOpt

  Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

  Language:Jupyter Notebook4.4k940

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook12.9k4.1k

• mfrdixon/dq-MM

  Deep Q-Learning for Market Making

  Language:Python11747

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook1.7k475

• yhilpisch/tpqoa

  tpqoa is a Python wrapper package for the Oanda REST API v20 for algorithmic trading.

  Language:Jupyter Notebook16778

• yhilpisch/tpqps

  tpqps is a wrapper package for the streaming API of Plotly.

  Language:Python118

• tableau/TabPy

  Execute Python code on the fly and display results in Tableau visualizations:

  Language:Python1.6k592

• yhilpisch/dx

  DX Analytics | Financial and Derivatives Analytics with Python

  Language:Jupyter Notebook706309

• yhilpisch/dawp

  Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

  Language:Jupyter Notebook582370

• hudson-and-thames/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.

  Language:Python3.9k1.1k

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Language:Python13k2.3k

• ChakriCherukuri/mlviz

  Visualizations of machine learning models and algorithms

  Language:Jupyter Notebook11638

• bqplot/bqplot

  Plotting library for IPython/Jupyter notebooks

  Language:TypeScript3.6k464

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook27.7k12.7k

• kdboller/pythonsp500

  Repository for Python SP 500 blog post

  Language:Jupyter Notebook7462

• pydata/pandas-datareader

  Extract data from a wide range of Internet sources into a pandas DataFrame.

  Language:Python2.9k680

• santosjorge/cufflinks

  Productivity Tools for Plotly + Pandas

  Language:Jupyter Notebook3k675

• yhilpisch/py4fi2nd

  Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

  Language:Jupyter Notebook1.4k726

• yhilpisch/cloud-python

  Deploying Python for Data Analytics and Jupyter Notebook in the Cloud.

  Language:Jupyter Notebook9054

• kevin-smets/iterm2-colors

  iTerm2 colors as JSON, Sass, Scss, Stylus and Less

  Language:CSS41

• mmistakes/minimal-mistakes

  :triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

  Language:HTML12.2k25.3k

• plotly/dash

  Data Apps & Dashboards for Python. No JavaScript Required.

  Language:Python21.2k2k

• atom/atom

  :atom: The hackable text editor

  Language:JavaScript60.1k17.4k

• elastic/kibana

  Your window into the Elastic Stack

  Language:TypeScript19.7k8.1k

• elastic/elasticsearch

  Free and Open, Distributed, RESTful Search Engine

  Language:Java69.5k24.6k

• grafana/grafana

  The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

  Language:TypeScript63.9k12k

• johnmyleswhite/ML_for_Hackers

  Code accompanying the book "Machine Learning for Hackers"

  Language:R3.7k2.2k

• mlr-org/mlr

  Machine Learning in R

  Language:R1.6k404