{"repo":"QuantJourneyOrg/qj_public_code","free":true,"listed":false,"github":"https://github.com/QuantJourneyOrg/qj_public_code","clone":"git clone https://github.com/QuantJourneyOrg/qj_public_code.git","description":"Quant Journey Public Files","language":"Python","stars":25,"topics":["equities","hedge-fund","quant","quant-finance","quantitative-finance","stock-market","trading"],"license":"MIT","category":"trading","readme_excerpt":"Backtester Directory and Name Convention Introduction As we develop a suite of backtesting tools, it’s essential to maintain a clear and organized structure. This document outlines the different types of backtesters we are building, ranging from beginner-friendly versions to advanced, specialized systems. Each backtester serves a distinct purpose, allowing users to progressively enhance their skills and tackle more complex scenarios. We have following structure of directories: LearningBacktester: (for learning, begineers) The LearningBacktester is designed as an entry point for those new to backtesting. It focuses on educational clarity, with simplified data processing and performance calculations. The key features include: The most basic version, focused on educational purposes Simplified data handling and performance calculations Basic signal generation and position sizing Minimal configuration options Clear, well-commented code for easy understanding Backtester: (standard version) The standard Backtester is a more comprehensive tool designed for general-purpose backtesting. It is suitable for users who have mastered the basics and are ready to explore more robust features: A more complete, general-purpose backtesting system Robust data handling for multiple assets Support for various types of signals and position sizing Basic performance metrics and reporting Configurable parameters for different strategies AdvancedBacktester: The AdvancedBacktester builds upon the standar","default_branch":null,"files":null,"tree":[],"storefront":"/r/QuantJourneyOrg","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/QuantJourneyOrg/qj_public_code/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."}