Vibe Trading

Overview

Vibe Trading is an open-source AI-assisted secondary-market research project created and maintained by 吴浩哲. The source describes it as evolving from a professional quantitative toolkit into a broader workspace spanning macro research, company fundamentals, quantitative validation, and risk review.

Current Profile

The project’s defining product move is from specialist metrics toward an integrated, inspectable research process. Users can express an investment idea in natural language, after which the system can organize evidence across domains, separate source material from hypotheses, run selected calculations, test risks, and present reasons a person can examine before acting.

Its stated objective is not fully autonomous trading. The platform is presented as an implementation of AI Trading in which cheap candidate decisions pass through data, validation, and constraint layers before limited action remains subject to human risk rules and acceptance.

Key Characteristics

• Combines fundamental, macro, quantitative, and risk research in one workflow.
• Began with hundreds of factors, multi-market backtesting, and statistical tests before broadening beyond professional quant users.
• Uses natural language to lower the interface barrier while preserving inspectable sources and reasoning.
• Treats deterministic calculation, data alignment, temporal validity, and contrary evidence as constraints on generative output.
• Keeps execution bounded and human-controlled rather than turning every model judgment into a trade.

Evidence

Product evolution

• AI Trading —— 决策便宜，行动很贵｜对谈超 3w Star Vibe-Trading 作者浩哲 describes the transition from more than four hundred factors and nine-market backtesting toward an all-in-one secondary-market research workspace.

Research architecture

• AI Trading —— 决策便宜，行动很贵｜对谈超 3w Star Vibe-Trading 作者浩哲 places source tracing, hypothesis generation, contrary evidence, deterministic calculation, data timing, transaction costs, and bounded execution inside the platform’s intended workflow.

Adoption snapshot

• AI Trading —— 决策便宜，行动很贵｜对谈超 3w Star Vibe-Trading 作者浩哲 reports that the project opened on April 1, exceeded 30,000 GitHub stars within six months, and attracted contributors from more than twenty countries and regions.

Qualifications

• Project capabilities, usage, contributor geography, star count, factor count, and market coverage are reported by its author in one source and have not been independently audited here.
• An inspectable workflow can reduce but not eliminate hallucination, bad data, dependency errors, overfitting, transaction costs, manipulation, or misuse by an underqualified user.
• The source does not establish that the platform generates persistent alpha or improves realized risk-adjusted returns.

What Changed

• Added the first canonical profile of Vibe Trading and its shift from quant toolkit to integrated research workspace.

Relationships

• 吴浩哲 / Wu Haozhe - author and maintainer.
• AI Trading - operating model the project is intended to implement.
• Financial Data Alignment / 金融数据对齐 - data-control layer used to make research claims testable.
• Point-in-Time Backtesting / 时点回测 - historical-validity requirement for strategy evaluation.
• Quantitative Investing - original specialist context from which the product broadened.