We're revolutionizing how traders approach backtesting by making professional-grade strategy validation accessible to everyone, regardless of coding experience.
Traditional backtesting tools require extensive programming knowledge, creating barriers for traders who want to validate their strategies. We believe every trader should have access to professional-grade backtesting, regardless of their technical background.
By combining natural language processing with advanced AI, we're democratizing strategy validation and helping traders make more informed decisions based on solid data.
“To become the world's most trusted platform for strategy backtesting, empowering traders of all skill levels to validate their ideas with confidence and precision.”
These principles guide everything we do at Vibe Trading
We believe in complete code transparency. You should always see and understand what's happening behind the scenes.
Professional backtesting shouldn't require a computer science degree. We make it accessible to everyone.
We continuously push the boundaries of what's possible in AI-powered financial analysis and strategy validation.
As traders ourselves, we experienced the frustration of having great strategy ideas but lacking the technical skills to properly backtest them. Existing solutions were either too complex, too expensive, or treated backtesting as a black box.
We watched countless traders rely on gut feelings or superficial analysis simply because professional backtesting felt out of reach.
We combined our expertise in AI, finance, and user experience to create a platform that bridges the gap between strategy ideas and professional validation. Our AI understands trading concepts and converts natural language into robust, testable code.
Most importantly, we maintained complete transparency - you always see the generated code, understand the logic, and can modify it as needed.
We leverage cutting-edge AI and financial modeling to deliver accurate, reliable backtesting results
Our advanced natural language processing models understand trading terminology and convert your strategy descriptions into clean, efficient Python code.
We implement industry-standard backtesting methodologies, including proper risk metrics, statistical analysis, and validation techniques used by professional fund managers.