{"repo":"quantiacs/toolbox","free":true,"listed":false,"github":"https://github.com/quantiacs/toolbox","clone":"git clone https://github.com/quantiacs/toolbox.git","description":"This is the current Quantiacs toolbox which includes the backtester for developing and testing trading algorithms.","language":"Python","stars":82,"topics":["python","trading","data-science"],"license":"MIT","category":"trading","readme_excerpt":"README Introduction Welcome to the Quantiacs Python Trading Library (QNT), a comprehensive platform for quantitative finance and algorithmic trading. This library is designed for both beginners and seasoned traders, enabling the development and testing of trading algorithms. Discover more about Quantiacs: - Website : Quantiacs.com - Detailed Documentation : Quantiacs Documentation Features - Backtesting Engine : Test your strategies with our advanced backtesting engine. - Market Data Access : Access a wide range of financial data, including stocks, futures, and cryptocurrencies. - Strategy Optimization : Enhance the performance of your algorithms. - Community and Support : Join a thriving community of quantitative traders. About the Quantiacs Contests Quantiacs hosts a variety of quant competitions, catering to different asset classes and investment styles: - The Classic Quantiacs Futures Contest: A mainstay contest focusing on futures trading. - The Crypto Bitcoin Futures Contest: Tailored for trading Bitcoin futures. - The Crypto Top-10 Long-Only Contest: Concentrating on a long-only strategy in the top 10 cryptocurrencies. - The Crypto Top-10 Long-Short Contest: Involves both long and short positions in the top 10 cryptocurrencies. - The NASDAQ-100 Long-Short Contest: A specialized contest focusing on long-short strategies in the NASDAQ-100, emphasizing fundamental analysis. - The S&P500 Long-Short Contest: A specialized contest focusing on long-short strategies in the S&P","default_branch":null,"files":null,"tree":[],"storefront":"/r/quantiacs","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/quantiacs/toolbox/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."}