About

Vibe-Trading Wiki is an intelligent agent platform built for modern financial researchers, designed to turn complex financial data and trading strategy research into efficient, traceable workflows through natural language interaction. The platform integrates market data retrieval, strategy backtesting, crowd sentiment analysis, trading journal management, and research output generation, helping users quickly extract insights from vast amounts of information and improve decision-making efficiency. Whether you are an independent trader, a quantitative researcher, or part of a fintech team, Vibe-Trading Wiki offers a one-stop natural language financial research environment that makes "research driven by language" a reality.

Key Features

Market Data Retrieval: Access real-time and historical quotes, financial indicators, and macroeconomic data through natural language commands, with no need to write complex query statements.

Strategy Backtesting: Describe your trading logic in plain language, and the system automatically generates backtest scripts and outputs performance reports, supporting comparisons across multiple timeframes and asset classes.

Crowd Sentiment Analysis: Leverage NLP models to capture shifts in market sentiment from news, social media, and forum data, helping you gauge the prevailing market mood.

Trading Journal Management: Automatically log trading decisions with voice or text input, making it easy to review past trades and maintain compliance records.

Research Output Generation: Transform analysis results into structured reports, charts, or summaries, with one-click export and sharing capabilities.

Pricing & Fees

Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
Open-source availability: Vibe-Trading is an open-source finance research agent, installable from PyPI (pip install vibe-trading-ai), uv, or source via its GitHub repository.
Free self-hosted use: Since the code is open-source, users can set up and run a local research workspace at no software cost, subject to their own data and infrastructure expenses.
API and extensibility: Open APIs allow integration with custom data sources or strategy libraries for professional customization needs.

Who It's For

Vibe-Trading Wiki is designed for individual traders who want a more efficient way to track markets, test ideas, and document their trading process; quantitative researchers who need rapid prototyping, backtesting, and research documentation; financial analysts who rely on market sentiment and fundamental data to write research reports; and fintech teams looking to build an internal research platform or integrate natural language analysis capabilities into their own systems.

About

Key Features

Pricing & Fees

Who It's For

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