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2016-pydata-carolinas-pandas

Material for Pandas Tutorial at Pydata Carolinas 2016

30-days-of-javascript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

8-quant-algos

Several diverse-universe market-agnostic trading algos that I like, cribbed from the open Community Forums at Quantopian

adv_fin_ml_exercises

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

ai-ml-ripperk

A high performance rule induction algorithm (RIPPERk).

airflow_intro

Ejemplos de DAGs para ser ejecutados en Airflow (Google Cloud Composer)

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

algotrading_stack

Microservices Stack for AlgoTrading

alpaca-trading-api-guide-a-step-by-step-guide

Code snippets for Alpaca Trading API Guide published on AlgoTrading101's Blog

alpha-scientist

alpha-vantage-introduction-guide

Code snippets for Alpha Vantage Introduction Guide published on AlgoTrading101's Blog

amibroker

amibroker-machine-learning-demo

Demonstration of running machine learning on Amibroker

an-application-of-deep-reinforcement-learning-to-algorithmic-trading

Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"

analyzingalpha

appendices

Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production

apuntes_machine_learning_andrewng_coursera_esp

Apuntes del curso de machine learning de la universidad de Stanford disponible en coursera (Andrew Ng)

arbitrage_research

Notebooks

arbitragelab

ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

astro-cli

CLI that makes it easy to create, test and deploy Airflow DAGs to Astronomer

atreyu-backtrader-api

Atreyu's integration of IB Native API with backtrader

attention

Minor time series forecasting experiments using attention mechanisms.

avoiding_bubbles

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python-books

:books: Directory of Python books

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

aws-toolbox

A collection of useful Shell & Python scripts that make your DevOps life easier in AWS.