925 Open source projects that are alternatives of or similar to Crypto_trader

quant framework for stock

An Excel/VBA project to communicate with various cryptocurrency exchanges APIs

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

Terminal dashboard for trading Bitcoin, predicting price movements, and losing all your money

Direct Future Prediction (DFP ) in Keras

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Stock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.

A real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud

Highly Modular and Scalable Reinforcement Learning

Efficient Batched Reinforcement Learning in TensorFlow

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

Essential Guide to keep up with AI/ML/DL/CV

Awesome Game AI materials of Multi-Agent Reinforcement Learning

Sentiment Analysis with LSTMs in Tensorflow

A framework using TensorFlow.js for Deep Reinforcement Learning

Actor-Critic Instance Segmentation (CVPR 2019)

Unity Machine Learning Agents Toolkit

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

A gym environment for Stuart Armstrong's model of a treacherous turn.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Reinforcement Learning Assignment: Easy21

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Your Advanced Twitter stalking tool

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Natural Language Processing (NLP) library for Crystal

Sentimental analysis using keras in python

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Google Sheets automatic creation with Google Apps Script (GAS) for managing a cryptocurrency tracking spreadsheet with multi exchanges

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Initiative to read research papers

This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.

A high-performance distributed training framework for Reinforcement Learning

Advanced Deep Learning with Keras, published by Packt

Learning human driver models from NGSIM data with imitation learning.

Implementation of Scheduled Policy Optimization for task-oriented language grouding

An overview of the AI-as-a-service landscape

Common financial technical indicators implemented in Pandas.

A javascript technical indicators written in typescript with pattern recognition right in the browser

Convert sc2 environment to gym-atari and play some mini-games

Implementations of deep RL papers and random experimentation

My experimentations with Reinforcement Learning in Pytorch

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

POMDPs in Python.

This is Andrew NG Coursera Handwritten Notes.

Reinforcement learning framework to accelerate research

Sentiment Classification using Word Sense Disambiguation

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)