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2019-datascience-lectures

Lecture content for 2019 course.

adv_fin_ml_exercises

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

advanced-deep-trading

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

aeropy

Python interface for XFOIL. The objective of this library is to be able to be able to call XFOIL from Python iteratively for any simulation in a total of 4 lines total.

agency-loan-level

Loan-level analysis of Fannie Mae and Freddie Mac data

aialpha

Use unsupervised and supervised learning to predict stocks

aidoom.github.io

aj_ml_library

This library is a wrapper for sklearn and works with data stored using Pandas module.

algorithm-component-library

A collection of code snippets that can be constructed into larger trading algorithms.

algorithms

Minimal examples of data structures and algorithms in Python

alpha_vantage

A python wrapper for Alpha Vantage API for financial data.

americanmontecarlo

Implementation of the Longstaff-Schwartz (American Monte Carlo) algorithm for pricing options and other derivatives with early-exercise features.

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

assorted-python-learning-

Code I have written for tutorials in order to learn Python.

automated-feature-engineering

Automated feature engineering in Python with Featuretools

automaticdifferentiation

Demo project to illustrate principles and benefits of automatic differentiation in quantitative finance

awesome-public-datasets

A topic-centric list of HQ open datasets in public domains. PR ☛☛☛

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-quant

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

backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

bitcoin-trader-rl

A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

blog-code

Complementary Code from My Blog

bmc

Notes on Scientific Computing for Biomechanics and Motor Control

bt

bt - flexible backtesting for Python

btgym

OpenAI Gym environment for Backtrader trading platform

btreport

Extension for creating Performance Reports with Backtrader

cheat_sheets

A collection of handy cheat sheets for programming, data science, version control, statistics, and probability.

chowtest

Python package to test for structural breaks at a specified date using the Chow Test.

cmdlineutils

Various command-line utilities