RiseT's repositories
zipline-reloaded
Zipline, a Pythonic Algorithmic Trading Library
alphalens-reloaded
Performance analysis of predictive (alpha) stock factors
backtrader
Python Backtesting library for trading strategies
bcolz-zipline
A columnar data container that can be compressed.
calibre
The official source code repository for the calibre ebook manager
corporate-earnings
Displays corporate earnings and fundamentals in the easy to analyze format
cppcryptfs
cppcryptfs is an implementation of the gocryptfs encrypted overlay filesystem in C++ for Windows.
cryptomator
Multi-platform transparent client-side encryption of your files in the cloud
cuetools.net
CD image processing suite with optimized lossless encoders in C#
DeDRM_tools
DeDRM tools for ebooks
empyrical-reloaded
Common financial risk and performance metrics. Used by zipline and pyfolio.
exchange_calendars
Calendars for various securities exchanges.
LinAlgCourse
Python and MATLAB code for online linear algebra course
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
pcc_3e
Online resources for Python Crash Course, 3rd edition, from No Starch Press.
pyfolio-reloaded
Portfolio and risk analytics in Python
pysystemtrade
Systematic Trading in python
python-testing-101
Example projects for the Python Testing 101 series from Automation Panda
Python4Finance
I get many questions about how to analyze the Stock Market with Python. I am creating a new playlist of videos that will completely cover Python for Finance.
quantfiction
Notebooks and stuff from quantfiction.com
Signal-Android
A private messenger for Android.
Signal-Desktop
Signal Private Messenger for the Desktop
Signal-iOS
A private messenger for iOS
Signal-Pods
Pods dependency tracker for Signal-iOS
threema-android
Threema App for Android.
trading_evolved
Trading Evolved book code
udemy-downloader
A Udemy downloader that can download DRM protected videos and non-DRM protected videos.
vanilla
Vanilla Music Player for Android
zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.