cantaro86's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
tensorflow/models
Models and examples built with TensorFlow
bitcoinbook/bitcoinbook
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
codebasics/py
Repository to store sample python programs for python learning
cvxpy/cvxpy
A Python-embedded modeling language for convex optimization problems.
JWarmenhoven/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
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.
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
tradytics/eiten
Statistical and Algorithmic Investing Strategies for Everyone
0xAX/asm
Learning assembly for Linux x86_64
asadoughi/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
bashtage/arch
ARCH models in Python
curvefi/curve-contract
Vyper contracts used in Curve.fi exchange pools.
Auquan/Tutorials
Ipython notebooks for math and finance tutorials
sstoikov/microprice
Friends-of-Tracking-Data-FoTD/LaurieOnTracking
Laurie's code for Metrica tracking data.
omartinsky/QuantAndFinancial
This repository contains supporting examples which are referenced from posts published on www.quantandfinancial.com
gabrielepompa88/pyBlackScholesAnalytics
Options and Option Strategies analytics for educational purpose using the Black-Scholes Model
HujiaYuYoyo/448Project
High Frequency Trading
PaiViji/PythonFinance-PortfolioOptimization
Python for Portfolio Optimization: The Ascent! First working lessons to ascend the hilly terrain of Portfolio Optimization in seven strides (Lessons), beginning with the fundamentals (Lesson 1) and climbing slope after slope (Lessons 2-6), to reach the first peak of constrained portfolio optimization models (Lesson 7), amongst a range of peaks waiting beyond!
securesecrets/shade
Shade Protocol is an array of connected privacy-preserving dApps built on Secret Network
arraystream/fftoptionlib
FFT-based Option Pricing Methods in Python
scikit-portfolio/scikit-portfolio
A portfolio optimization tool with scikit-learn interface. Hyperparameters selection and easy plotting of efficient frontiers.
cppnuts-yt/designpattern
contains design patterns code in c++
vsoftco/design_patterns
My take on design patterns in modern C++
mdcaio/Data_Science
Some exercises on data science.
securesecrets/ShadeGrants
Github repository for Shade Protocol grant submissions.