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60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

aitrading

Reinforcement Learning for trading cryptocurrencies, stocks and forex

all-programming-e-books-pdf

A Curated List Of Programming Books For C, C++ , Python, JavaScript, NodeJs, ReactJs, Web, JQuery, Flask, Dom, Angular, CSS, HTML for beginners, intermediate, advanced and experts

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

asx_gym

Open AI Gym Env for Australia Stock Exchange (ASX)

attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

build-a-supervised-autoencoder

CS583 Assignment 5: Build a Supervised Autoencoder

ceemdan-lstm

ceemdan_lstm

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

deep-rl-trading

Playing trading games with deep reinforcement learning

deep_rl_trader

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

deeplearning_timeseries

Deep Learning + Time Series Analysis

deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

deeplob-model-implementation-project

This repo contains some codes and outputs of my implementation of DeepLOB model.

dragonbox

Reference implementation of Dragonbox in C++

featuretools

An open source python library for automated feature engineering

finta

Common financial technical indicators implemented in Pandas.

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

gym-forex

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

hft-using-machine-learning

My first high-frequency trading strategy using machine learning

htfe-tensortrade

Tensortrade project for reinforcement learning in futures market

improved_deeplob

This repo contains my reimplementation and improvement of DeepLOB model.

keras-tcn

Keras Temporal Convolutional Network.

lightweight-backtest-module-for-quantitative-trading

lob-feature-analysis

Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.

machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

meta-labeling

Code base for the meta-labeling papers published with the Journal of Financial Data Science

mlbot_tutorial

A tutorial for algorithmic trading bot using machine learning.