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aproblem

arctic

High performance datastore for time series and tick data

deep_learning_machine_learning_stock

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

dermanpapers

Notebooks that replicate original quantitative finance papers from Emanuel Derman

dx

DX Analytics

fbs

Create Python GUIs with Qt in minutes

fbs-tutorial

Tutorial for creating Python/Qt GUIs with fbs

fecon235

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

googledns

An OS X Dynamic DNS Updater for Google Domains

hrp

Hierarchical Risk Parity

iexfinance

Python SDK for IEX Cloud

ml_finance_codes

Machine Learning in Finance: From Theory to Practice Book

projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

pysystemtrade

Systematic Trading in python

quantitative-notebooks

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

tiingo-python

Python REST Client for interacting with the Tiingo Financial Data API

xlrisk

Excell addin for performing Monte Carlo simulation