João Ceia's starred repositories
FinanceToolkit
Transparent and Efficient Financial Analysis
FinanceDatabase
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
search-plugins
Search plugins for the search feature
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
Learn-Algorithmic-Trading
Learn Algorithmic Trading, Published by Packt
the-economist-war-fire-model
Source code and data for The Economist's Ukraine war-fire model
example-hftish
Example Order Book Imbalance Algorithm
dissection
The dissection of a simple "hello world" ELF binary.
pyelftools
Parsing ELF and DWARF in Python
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
microprediction
If you can measure it, consider it predicted
rock_paper_scissors
rock_paper_scissors
stripe-gcf
This is a no fuss Google Cloud Function that aims to create a wrapper around the Stripe Node.js SDK allowing for a serverless Stripe deployment
trading_evolved
Code from the Trading Evolved book
nextjs-with-firebase
NextJS boiler-plate with Google's Firebase integrated. Watch on YouTube: https://youtu.be/SYnu6CLKD70
chat-backend
Simple chat backend using Typescript, nestjs, TypeORM and GraphQL.
react-portfolio
A clean and customizable ReactJS portfolio template for fellow developers. Credits to Jo Lienhoop!
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)