hudson-and-thames/hudsonthames-sphinx-theme hudson-and-thames/hudsonthames-sphinx-theme

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    CSS
  • License
    Other
  • Created over 3 years ago
  • Updated about 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
hudson-and-thames/hudsonthames-sphinx-theme
github

hudson-and-thames

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Sphinx theme for Hudson and Thames documentation

More Repositories

1

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.
Python
3,933
star
2

arbitragelab

ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
Python
484
star
3

portfoliolab

PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
149
star
4

backtest_tutorial

Jupyter Notebook
121
star
5

arbitrage_research

Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.
Jupyter Notebook
84
star
6

meta-labeling

Code base for the meta-labeling papers published with the Journal of Financial Data Science
Jupyter Notebook
74
star
7

SecondBrain

JavaScript
43
star
8

oct_applications

Applications to the apprenticeship program, October 2020.
Jupyter Notebook
27
star
9

march_applications_21

Skillset Challenge for the Apprenticeship Program
Jupyter Notebook
20
star
10

example-notebooks

Jupyter Notebook
14
star
11

research_public

Notebooks based on financial machine learning.
11
star
12

june_applications_21

Skillset Challenge for the Apprenticeship Program, June 2021.
Jupyter Notebook
10
star
13

guide_to_modern_portfolio_optimization

7
star
14

definitive_guide_to_pairs_trading

5
star
15

interview_april

Interview question for the jr Data Science / Machine Learning Engineer.
4
star
16

a-practitioners-guide-to-the-ONC-algorithm

Code base for the practitioner's guide to the ONC algorithm paper published with the Journal of Financial Data Science
Jupyter Notebook
4
star
17

mlfinlab-quickstart

Python
4
star
18

oct_applications_21

Applications to the apprenticeship program, October 2021.
1
star