0xdarkman Goto Github PK

policygradient-from-scratch

Policy Gradient algorithm from scratch in Python

portfolio-management

Repository for portfolio management using Pytorch, SQLAlchemy and XArray. The management is done using the reinforcement learning algorithm "Soft Actor-Critic".

predicting-bitcoin-price-via-twitter

Our CSE 482 Project where we use sentiment analysis and quantity of tweet per given day to predict Bitcoin price

principalquant

pythia

Reimplementation of https://github.com/ZhengyaoJiang/PGPortfolio

python_deeplearning_btc

An attempt to predict Bitcoin price

pytorch-ddpg-stock-trading

An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.

pytudes

Python programs to practice or demonstrate skills.

quant-trading

Python quantitative trading strategies including Pattern Recognition, CTA, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

quant_portfolio_management

A deep reinforcement learning model for portfolio management. For more info, check

randomforestbtc

Uses a random forest (RF) regression model to predict bitcoin prices 3 days ahead. Trained on data from 2010-2019.

reinforcement-learning-algorithms-with-python

Reinforcement Learning Algorithms with Python, Published by Packt

rl-bitcoin-trading-bot

Trying to create Reinforcement Learning powered Bitcoin trading bot

rl-deepqlearning-trading

An RL model that uses double deep Q learning to generate an optimal policy of stock market trades

rl_overview

rl_tutorial

rnn_lstm_trading_model

This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture. This is for single stock prediction and backtesting, another RNN LSTM network and backtester for multiple-stock portfolio will be added soon.

sample-market-maker

Sample BitMEX Market Making Bot

sentiment-analysis-of-tweets-using-machine-learning

sharkstock

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement learning algorithm. We implement a sentiment analysis model using a recurrent convolutional neural network to predict the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.

shinobishell

An experimental shell that handles file exfiltration, exploit injection and various other obnoxious tasks.

sigmabot

cryptocurruency trading bot

startrader

This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm.

stock_price_movement_prediction_rnn_cnn_ffnn

The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).

tensorflow-bitcoin-robot

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

tokenbasenetwork

Token contract with buy/sell/liquidity fees on base network

trading-bot

automatic portfolio management using deep reinforcement learning

tradingbot

A bot for buying and selling stocks/obligations/shorts which utilizes machine learning algorithm in combination with a web scraper and a database system. (WIP)

tradingrlbot