我的量化策略引擎发布了：alpha.isnow.ai

Core Viewpoint - The article discusses the development of a self-researched backtesting engine and its future direction, focusing on two main areas: insights and strategies [1][3]. Insights - The insights section will include AI-based financial report analysis, customizable financial calendars, and real-time interpretations based on economic principles and market sentiment [3]. - A live streaming system is being developed to provide real-time analysis of earnings calls with a delay of under five minutes, allowing for contextual understanding of market reactions [3][8]. Strategy - The strategy section will focus on systematic and quantitative trading, discussing classic trading strategies and their effectiveness based on academic papers [3][5]. - The website will feature over 40 classic strategy papers and a search engine for 5,000 G14 category economic papers, with plans for continuous optimization and public verification of the backtesting system [5][6]. Features - Users can interact with detailed backtesting charts and access structured trading checklists, enhancing the personalization of their dashboards [8]. - The backtesting results presented in the article are theoretical and do not account for real-world factors such as risk-free rates, transaction costs, and slippage, which could significantly reduce actual returns [8].