krmacount

krmacount's Stars

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook44.1k1.8k19918.2k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17.5k4703314.3k

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

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

  Language:Jupyter Notebook14.4k4063004.5k

• cantaro86/Financial-Models-Numerical-Methods

  Collection of notebooks about quantitative finance, with interactive python code.

  Language:Jupyter Notebook5.8k146151k

• AllenDowney/ThinkBayes2

  Text and code for the second edition of Think Bayes, by Allen Downey.

  Language:Jupyter Notebook1.9k70501.5k

• chendaniely/pandas_for_everyone

  Repository to accompany "Pandas for Everyone"

  Language:Jupyter Notebook4052520408

• KidQuant/Pairs-Trading-With-Python

  This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

  Language:Jupyter Notebook36884107

• PacktPublishing/Python-Data-Cleaning-Cookbook

  Python Data Cleaning Cookbook, published by Packt

  Language:Python25372185

• sapphire921/HFT-Pairs-Trading

  High Frequency Pairs Trading Based on Statistical Arbitrage (Python) :moneybag:

  Language:Jupyter Notebook1016130

• python-marketing-research/python-marketing-research-1ed

  Language:Jupyter Notebook503331

• aksonai/py4e

  Solutions to exercises in "Python for everybody" book by Dr. Chuck.

  Language:Python433114

• richardknudsen/Pairs-Trading-A-Kalman-Filtering-Approach

  Project completed during my studies at BGSE together with Travis Dunlop, Matthew Keys and Jordi Llorens

  Language:Jupyter Notebook172012

• Carlossn/Py-Pair-Trading-and-VAR-Analysis-for-Energy-Stocks

  CQF Project based on introducing Pair Trading for Energy Stocks with VAR (Vector Autoregression), Engle Granger Approach, Backtesting, Optimization and Factor Analysis

  Language:Jupyter Notebook14109

• letianzj/letianzj.github.io

  Quantitative investing blog

  Language:HTML13402

• git-kevinxuhuili/lse-me314.github.io

  ME314 2019 Course Website

  Language:Jupyter Notebook1000

• Maza455/CROSS-VALIDATION-SIMPLE-LINEAR-REGRESSION

  Language:Jupyter Notebook1