gabrielweich

Machine-Learning-for-Asset-Managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

bt

bt - flexible backtesting for Python

Stock-Predictor-Udacity-capstone

stock close price predictor for data science nanodegree udacity

quant-notebooks

Quantitative Trading & Analysis Public Studies

moonshot

Vectorized backtester and trading engine for QuantRocket

opening-reversal

Trade system released by the channel Outspoken Market

pyAstroTrader

Machine Learning + Financial Markets + Astrology = A Match made in Heaven

py4fi2nd

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

AutoChain

AutoChain: Build lightweight, extensible, and testable LLM Agents

carteiras-factor-long-only

sqlalchemy-mixins

Active Record, Django-like queries, nested eager load and beauty __repr__ for SQLAlchemy

the-art-of-command-line

Master the command line, in one page

MachineLearningStocks

Using python and scikit-learn to make stock predictions

terraform-aws-sns-subscription-sqs

Terraform module to create AWS SQS queue

terraform-aws-sns

Terraform module to create AWS SNS resources 🇺🇦

awesome-quant

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

algorithmic-trading-with-python

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

PyFENG

Python Financial ENGineering (PyFENG package in PyPI.org)

timeseriescv

Scikit-learn style cross-validation classes for time series data

tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Advanced-Deep-Trading

Mostly experiments based on "Advances in financial machine learning" book

python-ddd

Python DDD example

finance_ml

Advances in Financial Machine Learning

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.

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

eiten

Statistical and Algorithmic Investing Strategies for Everyone

Computational-Finance-Course

Here you will find materials for the course of Computational Finance

machine-learning-for-trading

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

udend-capstone-project

udacity_data_engineer_capstone

Capstone project for Udacity Data Engineering Nano Degree