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Vibe-Trading
Vibe-Trading is an open-source finance research agent that executes backtesting, market data analysis, swarm strategy simulation, and trade journal diagnostics.
Vibe-Trading is a natural-language finance research agent designed to process market data, backtests, and swarm analysis. Users input prompts to generate research workspaces that include evidence, metrics, and caveats. The system utilizes specific agents like an investment committee, quant desk, or risk review team to generate findings. It integrates with broker journals to extract implicit rules for counterfactual backtesting via its Shadow Account feature. The agent maintains persistent memory and session search capabilities to allow for ongoing research loops. It functions as a research tool rather than a brokerage, with optional, read-only authorized broker connectivity.
Vibe-Trading at a glance
- Best for: Finance
- Runs on: CLI
- Pricing: Free
- Released: April 2026
- Category: AI agent tool
- Website: vibetrading.wiki
Key features
- Natural-language prompt to research workspace generation
- Backtesting engines for equities, crypto, futures, and options
- Swarm teams for macro, quant, and risk research
- Shadow Account functionality for broker journal parsing
- Persistent memory and session search
- Editable research skills and tools
- Context compression for research runs
Use it for
- Running backtests on market strategies
- Analyzing trade journals for implicit rule extraction
- Executing swarm-based investment committee research
- Generating market research reports with evidence and metrics
Alternatives to Vibe-Trading
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- Fincept Terminal — Provides institutional-grade AI research and quant tools for a fraction of legacy terminal costs.
- QuantDinger — Consolidates data, modeling, and execution into a single workspace.
- Investor Skills — It connects wallets and brokerages to execute trades with AI agents.
- Clawock — It keeps an accumulating, verifiable record of agent decisions and outcomes without hand-tuning.
All Vibe-Trading alternatives