1042 Open source projects that are alternatives of or similar to Stock Price Trade Analyzer

Ccxt based, open source, customized, extendable trading platform that supports 130+ crypto exchanges.

Fully Automated IG Trading

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Machine Learning notebooks for refreshing concepts.

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

AIXIjs - General Reinforcement Learning in the Browser

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

A Java API for Developing Automated Trading Applications for the Equity, Futures, and Currency Markets

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

A curated list of Monte Carlo tree search papers with implementations.

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊

Reinforcement learning with A* and a deep heuristic

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Monthly Series - Top 10 Machine Learning Articles

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Seoul AI Gym is a toolkit for developing AI algorithms.

股市技術分析小工具

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

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

100 Days of ML Coding

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

Ultimate Python library for time series analysis and backtesting at scale

🤠 📿 The Highly Adaptive Lasso

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

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

Python implementation of some numerical (optimization) methods

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

Simulation of spiking neural networks (SNNs) using PyTorch.

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

Codebase for the Summary Loop paper at ACL2020

🔬 A curated list of awesome machine learning strategies & tools in financial market.

The Machine Learning Toybox for testing the behavior of autonomous agents.

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

Intrinio NodeJS SDK for Real-Time Stock & Crypto Prices

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

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

backtrader with DRL ( Deep Reinforcement Learning)

OpenAI Gym environments using DART

💸 A long-short equity quantitative trading strategy (sentiment-based)

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

Using deep reinforcement learning to tackle the game 2048.

Conversational AI Reading Materials

A Java library for technical analysis.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Java Convolutional Neural Network example for Hand Writing Digit Recognition

Cornell Instruction Following Framework

Actor-Critic Instance Segmentation (CVPR 2019)

Advanced Deep Learning with Keras, published by Packt

2020年的算法实习岗位/校招公司信息表，和常见深度学习基础知识笔记、算法岗面试题答案，及暑期计算机视觉实习面经和总结。

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

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Implementation of Scheduled Policy Optimization for task-oriented language grouding

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