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Vibe-Trading
Open-source finance research agent that turns natural-language prompts into backtests, reports, and portfolio analysis with full provenance.
14KMonthly visits
19Popularity
About Vibe-Trading
Vibe-Trading is an open-source Python-based finance research agent designed to convert natural-language prompts into executable finance research. It integrates skills for data fetching, strategy development, backtesting, and report generation, enabling users to conduct comprehensive market analysis. The tool supports seven backtesting engines covering equities, crypto, futures, forex, composites, and options, making it suitable for multi-asset research. Users can run specialized agent swarms such as investment committees or quant desks to produce detailed research reports with evidence, metrics, and caveats. A Shadow Account feature allows parsing broker journals and performing counterfactual backtests against actual trade history. While live trading is opt-in and read-only by default, the system can be configured for limited execution with explicit broker authorization. The platform emphasizes full research provenance, ensuring transparency in generated insights. It is primarily aimed at quantitative researchers, traders, financial analysts, and finance students who require rigorous, reproducible financial analysis workflows.
Key features
- Natural-language prompt conversion to executable finance research
- Multi-asset backtesting across equities, crypto, futures, forex, composites, and options
- Swarm analysis with specialized agents (e.g., investment committee, quant desk)
- Full research provenance with evidence, metrics, and caveats
- Shadow Account feature for counterfactual backtesting against trade history
- Read-only live trading mode with optional limited execution
- Python-based open-source toolkit
- Report generation with structured outputs
Use cases
- Backtesting investment strategies across multiple asset classes
- Generating detailed research reports with full provenance for investment committees
- Analyzing broker journals and performing counterfactual backtests against actual trades
Pros
- Converts natural-language prompts directly into executable finance research workflows
- Supports seven backtesting engines across equities, crypto, futures, forex, composites, and options
- Enables specialized agent swarms such as investment committees or quant desks for collaborative research
- Provides full research provenance with transparent, inspectable trails and evidence-based reports
- Offers a Shadow Account feature for parsing broker journals and performing counterfactual backtests
Cons
- Live trading is opt-in and read-only by default, requiring explicit broker authorization for any execution
- Primarily designed for research and simulation rather than direct brokerage operations
- Experimental nature implies potential risks and requires user discretion
Frequently asked questions about Vibe-Trading
What is Vibe-Trading?
Vibe-Trading is an open-source Python-based finance research agent that converts natural-language prompts into executable finance research, integrating data fetching, strategy development, backtesting, and report generation.
Who is Vibe-Trading designed for?
The tool is primarily aimed at quantitative researchers, traders, financial analysts, and finance students who require rigorous, reproducible financial analysis workflows.
Can Vibe-Trading execute live trades?
Live trading is opt-in and read-only by default. It can be configured for limited execution only with explicit broker authorization, and the system holds no funds or runs execution venues.
What types of backtesting engines does Vibe-Trading support?
Vibe-Trading supports seven backtesting engines covering equities, crypto, futures, forex, composites, and options portfolios.
How do I get started with Vibe-Trading?
Users can install Vibe-Trading via PyPI or source code, initialize a research workspace, and run commands like 'vibe-trading run' or 'vibe-trading --swarm-run' to begin analysis.
Does Vibe-Trading provide research provenance?
Yes, the platform emphasizes full research provenance, ensuring transparency in generated insights by maintaining inspectable trails for every answer and report.
Vibe-Trading traffic & engagement
vibetrading.wiki · third-party estimates from Similarweb
Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 202614K-47.9% MoM12-month high 44K (Jul 2026)
Rank among AI websites#4,045▼ 729 vs last monthof 8,652 tools on aitoolnavio™
Top marketUnited States39.1%Top 5 countries bring 83% of visits
Average visit18sTime on site per visit
Pages per visit1.89More than 52% of AI sites
Bounce rate41%Leave after one page · lower is better
Similarweb global rank#1,671,367#1,107,487 in United States
Traffic trend
Last 4 months · grows by one month every month
- Jun 202612K
- Jul 202644K+259.8%
- Aug 202627K−37.8%
- Sep 202614K−47.9%
Top countries
Share of visits · estimated visits
Other countries: 17.4%
Compared with similar tools
Automation & Agents · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.
