chrisxthe Goto Github PK

mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

mmdetection

Open MMLab Detection Toolbox and Benchmark

neat-python

Python implementation of the NEAT neuroevolution algorithm

notes

okcoin-leeks-reaper

OKCoin韭菜收割机

openvpn-install

OpenVPN road warrior installer for Debian, Ubuntu and CentOS

pair-trading-reinforcement-learning

An Structural Application of Reinforcement Learning in Pair Trading

presentations

Slide show presentations regarding data driven investing.

q-trader

Deep Q-learning driven stock trader bot

qlearning_trading

Learning to trade under the reinforcement learning framework

research

Contains all the Jupyter Notebooks used in our research.

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl_markets

Market Making via Reinforcement Learning

rl_trading

An environment to high-frequency trading agents under reinforcement learning

ryujinx

Experimental Nintendo Switch Emulator written in C#

sample-market-maker

Sample BitMEX Market Making Bot

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations

stockmarketdata

Cleaned data for use in stock predicting algorithms

stockprediction

Plain Stock Close-Price Prediction via Graves LSTM RNNs

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockpredictionrnn

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

street-fighter-ai

This is an AI agent for Street Fighter II Champion Edition.

tecogan

This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN

test-stock-prediction-algorithms

Use deep learning, genetic programming and other methods to predict stock and market movements

trackerslist

Updated list of public BitTorrent trackers

trading-gym

Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

tsfresh

Automatic extraction of relevant features from time series:

tslearn

A machine learning toolkit dedicated to time-series data

us-stock-market-prediction-by-lstm