{"repo":"ThePredictiveDev/Automated-Financial-Market-Trading-System","free":true,"listed":false,"github":"https://github.com/ThePredictiveDev/Automated-Financial-Market-Trading-System","clone":"git clone https://github.com/ThePredictiveDev/Automated-Financial-Market-Trading-System.git","description":"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.","language":"Python","stars":36,"topics":["algorithmic-strategies","algorithmic-trading","automated-trading","backtesting","financial-engineering","financial-markets","fix-protocol","matching-engine","neural-networks","order-book"],"license":"MIT","category":"trading","readme_excerpt":"📈 Automated Financial Trading System What is this, really? Imagine you could build your own tiny stock exchange — one with real buyers and sellers, a real order book, and real price competition — except nobody's money is actually at risk and you can rewind time as many times as you want. That's what this is. You feed it a stock symbol, tell it how you want to trade (or let one of the built-in robot traders do it for you), and watch as orders get matched, prices move, and a portfolio grows or shrinks in real time — powered by the same mechanics real exchanges use under the hood. In one line: a from-scratch limit order book, matching engine, market maker, algorithmic traders, multi-venue router, FIX protocol engine, and backtester — a complete miniature electronic market you run entirely on your own machine. For anyone who wants the deeper version: this is a research and education platform for market microstructure. It implements price-time priority matching, self-trade prevention, time-in-force handling (GTC/IOC/FOK), Avellaneda-Stoikov market making, pre-trade risk controls, multi-venue NBBO routing, opening/closing auctions, a real FIX 4.2 session layer, and institutional-grade backtesting with Sharpe/Sortino/drawdown analytics — all as an installable Python package with both a guided, no-flags CLI and a full scriptable one. 🎯 What You Can Do With It If you trade or invest — backtest a strategy against real historical data, paper-trade it live against a simulated market, a","default_branch":null,"files":null,"tree":[],"storefront":"/r/ThePredictiveDev","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ThePredictiveDev/Automated-Financial-Market-Trading-System/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}