Expert Advisor taught in the book: Introduction to MetaTrader 5 and Programming with MQL5. Create your 1st Investment Robot with MQL5 step by step from ZERO.

This project is a Python-based trading simulator that allows users to simulate trading strategies, manage an order book, and interact with a mock trading environment using various algorithmic traders. The simulator includes a FIX (Financial Information eXchange) protocol handler, a market-making algorithm, and synthetic liquidity generation.

This project is to simulate the effects of high frequency trading on a stock. This is the code for the order book as well as 'traders' which will place orders on the market. The design will be as parallel as possible using OpenCL and a GPU to parallelise processing.

The official repository of the "Northwind Elixir Traders" book

"стакан" (stakan) is a Russian term that translates to "order book" in English. What is an Order Book? An order book is a real-time list of buy and sell orders on a trading platform. It shows: Bid orders (buy orders) – Traders wanting to buy an asset at a specific price. Ask orders (sell orders) – Traders willing to sell at a certain price.

Using deep learning to train an automated adaptive trader to trade on a continuous double auction that uses a limit-order-book.

A real-time NinjaTrader 8 indicator that gauges order book depth from the ES DOM to help traders assess market liquidity.

This repository builds a volatility prediction tool using ultra-high-frequency data to forecast future price swings for over 100 stocks. It processes order book data, computes key statistics like BidAskSpread and weighted average price, and applies time series models to deliver interpretable predictions that help traders understand market behavior.

A Nuxt.js UI for books trading app.

Order Book trader in Rust (experimenting with Rust)

Construct an E-Bond trading application, to allow traders to manage different bonds, book trades and view the booked trades.

QuantumFlow predicts cryptocurrency price movements before they happen by analyzing order book microstructure in real-time. From data ingestion to live trading signals, every component is production-hardened for hedge funds, algorithmic traders, and fintech platforms seeking systematic alpha generation through ML and quantitative rigor.

Traderjoe Price pool feed Rest API, developed in Golang using Fiber. Support v2.1 Liquidity Book Contracts, v2 Liquidity Book Contracts, and v1 Trader Joe Contracts across three major chains: Avalanche, Arbitrum, and Binance Smart Chain.

Real-Time Order Book Heatmap visualizes live market data, offering traders a dynamic view of the order book, liquidity, and price changes. Built with Binance WebSocket API and D3.js, it helps you make informed decisions with real-time insights. 🔥

🚀 Real-time trading dashboard for OKX spot order book. Monitor liquidity, simulate executions, track latency, and visualize spreads & slippage. Interactive web app for traders & analysts. Built with Streamlit.

Key Logger

The Book Trader Website deals with the fact that many of the students are not able to purchase a full edition of books . They can use our webpage to get access to the books for some time without any need for payment, Instead they have to upload other books which will be in the form of a scanned pdf.

A web app built from the ground up that allows authenticated users to post books with the Google Books API, search and sort the user book library by category, and propose trades to other users. HTML/CSS, Javascript, React, React Router, Node, Express, Mongoose, MongoDB, OAuth, REST APIs, Webpack, Babel

📖 App for lending books (React / Flask / OAuth / PostgreSQL)

Mobile/Cloud Software Development Project - Book Trader

Full stack JS application w/ JWT & Passport Auth, React, Node, MongoDB

Order book for traders

No description available

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Book lending app using Mongo, Express, React, Node, Github oauth + Google Books API

An iOS application designed to help college students get in contact with other students to buy and sell textbooks. Built for Hack Mizzou 2016.

A momentum based trader to 'trade' off the Luno website. Trader will use the momentum of the market to determine when to buy/sell, but will ignore the effect of the stack of orders in the order book, and will assume that if a buy order is initiated, the buy order is executed

nodejs_server for book trader CLICK DOWN BELOW TO REACH WEBPAGE

TextBookTrader Project

No description available