Vibe-Trading: a personal trading agent that automates the research-to-execution pipeline with integrated backtesting and broker connectivity

What it solves

Vibe-Trading is a personal trading agent designed to automate the entire investment research and execution pipeline. It bridges the gap between high-level investment hypotheses and actual trade execution by providing an AI agent with a comprehensive set of tools for market data retrieval, strategy backtesting, and broker integration.

How it works

The system operates as an agentic framework that can be controlled via a Web UI, CLI, or various IM channels (such as Telegram, Discord, and Slack). It utilizes a large language model (LLM) to orchestrate a wide array of tools:

• Data Layer: Accesses 18+ market data sources (including Yahoo Finance, Finnhub, and SEC EDGAR) and 18+ read-only data tools for financials, fund flows, and options chains.
• Research Autopilot: Implements a loop that moves from hypothesis generation to signal engine creation and backtesting, feeding performance metrics back into the hypothesis for refinement.
• Execution Layer: Integrates with 10+ broker connectors for account management and order placement, featuring safety guards like a PreTradeAdvisoryInterface to prevent unauthorized or unsafe trades.
• Analysis Tools: Includes an "Alpha Library" with hundreds of factors and a layered attribution system for post-backtest analysis (e.g., Monte Carlo permutation tests).

Who it’s for

It is built for traders and quantitative researchers who want to automate their research workflows, test hypotheses using AI-generated strategies, and manage their portfolios through an AI-driven interface.

Highlights

• End-to-End Autopilot: Automates the cycle of hypothesis $\rightarrow$ signal engine $\rightarrow$ backtest.
• Multi-Channel Interface: Supports 16 built-in message adapters for interaction via IM apps like WhatsApp, WeChat, and Teams.
• Extensive Data Connectivity: Broad support for A-share, US, and HK markets with a global data layer.
• Shadow Account Feature: Extracts rules from shadow accounts to generate conditional entry signals based on real market conditions (e.g., RSI and prior returns).
• Broker Integration: Connects to multiple brokers with built-in safety boundaries and audit trails.