Jared Strober's Projects
Minimal examples of data structures and algorithms in Python
This repository is designed for the exploration and analysis of sports trading (betting) data, collected from Betfair's historical exchange data service. In particular, it reads, parses, analyses and plots data stored in files with ".bz2" format (files like "1.208134610.bz2").
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera
Scrape popular forums and image boards for mentions of crypto-currencies, and perform sentiment analysis
A Python script that scrapes text and media from Discord servers.
Deep Multi-Agent Reinforcement Learning with StarCraft 2
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. π₯
A webapp which scrapes data about Cryptocurrencies from Twitter and determines the sentiment behind those tweets.
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
FinRL: The first open-source project for financial reinforcement learning. Please star. π₯
FinRLΒ-Meta: A Universe for DataΒ-Driven Financial Reinforcement Learning. π₯
πβ¨ Help beginners to contribute to open source projects
High frequency AI based algorithmic trading module.
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Open source software that helps you create and deploy high-frequency crypto trading bots
Interactive Brokers TWS API -- Historical data downloader
Option Selling Algorithm built upon the Interactive Brokers Python API
A python client library for the different APIs offered by Interactive Broker including the Trader Workstation API, Client Portal Web API, and Client Portal Streaming Web API.
These are the code used for the article "Interactive Brokers Python API (Native) β A Step-by-step Guide". The article and these code are written by Jignesh Davda.
Xamarin.iOS sample apps
Config files for my GitHub profile.
All Algorithms implemented in Java
A market simulator GUI game.
Data Structures & Algorithms Implementation in Python
A trading robot, that can submit basic orders in an automated fashion using the TD API.
Reinforcement Learning for market making in the sports trading (betting) market.