dingdingmammy

ML_Finance_Codes

Machine Learning in Finance: From Theory to Practice Book

powerbi-visuals-dualkpi

A visual for displaying two correlated KPIs within a single visual.

DS-Modules

The official website for all of the modules developed by the Data Science Education Program.

core-resources

short examples and templates for common ds module tasks

machinelearning

Machine learning and artificial intelligence

supp-res-v1

py4at

Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.

Lean

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

awesome-public-datasets

A topic-centric list of HQ open datasets.

PatternPy

📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy 🔥

stock-symbol

Get a list of stock symbols from all major stock exchanges across various regions and markets.

pyquant-1

Power Earnings Gaps

quantconnect-bootcamp

my code for QuantConnect's algorithmic trading bootcamp

prettymapp

🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp

mlfinlab

Practical-Data-Science

A set of Data Science projects with Medium blogposts.

Deep-Q-Learning-CartPole-v0

mizar-labs

Python library for building financial machine learning models.

AFML

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

pythalesians

Python library to backtest trading strategies, plot charts (via Chartesians), seamlessly download market data, analyse market patterns etc.

MADS_Capstone

finviz

Unofficial API for finviz.com

meta-labeling

Code base for the meta-labeling papers published with the Journal of Financial Data Science

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.

Coursera-capstone

This is for the coursera course of IBM Applied Data Science

ta-lib-python

Python wrapper for TA-Lib (http://ta-lib.org/).

SIADS-696-Milestone-II

MADS Milestone II

ssm-nat-dp

python-wechaty-puppet

Python Puppet Provider Abstraction for Wechaty