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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.

backtrader

Python Backtesting library for trading strategies

backtrader-docs

backtrader documentation

bitcoin-trading-client

Bitcoin trading and automated trading made easy and open-source!

braindecode

A deep learning toolbox to decode raw time-domain EEG.

dash-sample-apps

Apps hosted in the Dash Gallery

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

eeglearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

ezibpy

ezIBpy, a Pythonic Client for Interactive Brokers API

fbcsp

fin-ml

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance

finnhub-python

Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals and alternative data. https://finnhub.io/docs/api

finvizfinance

Finviz analysis python library.

forex-rl-challenge

A Deep Reinforcement Learning Challenge on Forex Portfolio Management

freqtrade

Free, open source crypto trading bot

heartrate_analysis_python

Python Heart Rate Analysis Package, for both PPG and ECG signals

ib_insync

Python sync/async framework for Interactive Brokers API

ibpy

Python API for the Interactive Brokers on-line trading system.

ibpy-intro

http://pythonprogramming.net/ibpy-tutorial-using-interactive-brokers-api-python/

interactivebrokerspythonbot

investor-sentiment-on-twitter

Sentiment analysis on stock related Tweets and subsequent investigation of investor sentiment impact on stock prices

k_medoids

Numpy Implementation of K Medoids

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kerastutorial

This is a tutorial for the beginners of loving deep learning. We start from Keras with some simple demos, including CNNs, RNNs, and GANs.

lasagne

Lightweight library to build and train neural networks in Theano

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

machine-learning-notebooks

Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory

machinelearningcommonusedcode