alwaysfish Goto Github PK

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advances-in-financial-ml-notes

alpha-lib

awesome-dash

A curated list of awesome Dash (plotly) resources

back-to-cpp

complete-javascript-course

Starter files, final projects and FAQ for my Complete JavaScript course

cqf

cqf-1

The CQF program

cqf-final-project

CQF Final Project

cqf-notes

CQF notes

cqf_june_2020

This will include all the lecture slides, exercise papers, and data sheets used in Certificate in Quantitative Finance for the June 2020 cohort.

data-science

data-science-demos

dataengineeringproject

Example end to end data engineering project.

dragncards

Multiplayer online card game platform written in Elixir, Phoenix, and React. Drag and Drop provided by React-Beautiful-DND.

dragncards-mc-plugin

MarvelChampions for DragnCards

eliot

Eliot: the logging system that tells you *why* it happened

fastquant

fastquant — Backtest and optimize your trading strategies with only 3 lines of code!

financialengineering_ir_xva

finmathematics

Books

fundamental-factors

Learn how to research fundamental factors using Pipeline, Alphalens, and Sharadar price and fundamental data.

haikus-for-codespaces

jaeger-client-python

🛑 This library is DEPRECATED!

lambda-arch

Applying Lambda Architecture with Spark, Kafka, and Cassandra.

machine-learning

Notes for machine learning

machine-learning-for-algorithmic-trading-second-edition

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

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.

moonshot-intro

Introductory tutorial for Moonshot demonstrating data collection, universe selection, and backtesting of an end-of-day momentum strategy.

multifactor-models

A Survey of Multi-Factor Models

octgn-marvel-champions