arula10101 Goto Github PK

adv_fin_ml_exercises

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

analise_dados_politicos

apc-523-spring-2019-hw-1-arula10101

apc-523-spring-2019-hw-1-arula10101 created by GitHub Classroom

awesome-rl

Reinforcement learning resources curated

billionpriceavalanche

Code for paper Billion Price Avalanche: a study on product repricing

csv2sqlite

Python script to load CSV to SQLite

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

dqn

Reinforcement Learning for finance

factorial

Python script to compute the factorial of an integer

gans-public

Course notebooks for GANs specializations

generative-adversarial-networks-for-financial-time-series-generation

git_cheatsheet

Getting started with Git/Github

hft-orderbook

Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C

hft_nn_paper

hw3

mlfbook

mlfinlab

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

qtrader

Reinforcement Learning for Portfolio Management

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

research

Contains all the Jupyter Notebooks used in our research

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

thesis

Reinforcement Learning for Automated Trading

translator