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analise_oil_market

Analise do Mercado de Petroleo

backtrader

Python Backtesting library for trading strategies

brfinance

columbiax-statistical-thinking-for-data-science

This repo contains some R learning activities we created for the course I for the ColumbiaX series on Data Science and Analytics on edX.

create_price_db

curso_python

Anotacões de um curso de python

ethereum-developer-tools-list

A guide to available tools and platforms for developing on Ethereum.

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

gs-quant

Python toolkit for quantitative finance

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.

numship

A simulator of ship manoeuvres as the Zig-Zag manoeuvre

pydata-dc-2016-tutorial

Tutorial: Machine Learning with Text in scikit-learn

pykalman

Kalman Filter, Smoother, and EM Algorithm for Python

pysystemtrade

Systematic Trading in python

qstrader

QuantStart.com - QSTrader backtesting simulation engine.

scipy-2017-sklearn

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

scipy-2018-sklearn

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

scipy_con_2019

Tutorial Sessions for SciPy Con 2019

scrapy

statistic

Some exercises of the book Statistical Analysis of Financial Data in R of René

timeseriesanalysiswithpython

winutils

winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows

zipline

Zipline, a Pythonic Algorithmic Trading Library