GStars
    HKUDS

    HKUDS/Vibe-Trading

    #239 this week

    "Vibe-Trading: Your Personal Trading Agent"

    ai-agents
    llm
    ai-agent
    algorithmic-trading
    backtesting
    fintech
    mcp
    Python
    MIT
    35.1K stars
    5.7K forks
    35.1K GitHub watchers
    Updated Oct 11, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #239 of 2,503 repositories GStars tracks this week (top 10%).

    5 releases in the last 90 days, the latest 11 days ago, with 169 contributors on GitHub.

    Peaked at #4 in the weekly ranking the week of Jun 28, its best in the past year.

    Use Cases & Benefits

    • Provides an AI-powered personal trading agent with comprehensive algorithmic trading, backtesting, and multi-agent coordination capabilities.
    • Integrates extensive market data sources, broker connectors, and layered attribution analysis for end-to-end quantitative finance research and execution.
    • Use for developing and backtesting quantitative trading strategies with automated hypothesis generation and signal engineering.
    • Use for managing paper trading and order placement across multiple brokers with safety mandates and audit trails.
    • Use for running multi-agent investment committees or quant desks with real-time swarm worker status and coordinated decision-making.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    One Command to Empower Your Agent with Comprehensive Trading Capabilities

    Excerpt from the HKUDS/Vibe-Trading README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Jul 14: +1,152Jul 15: +853Jul 16: +667Jul 17: +361Jul 18: +353Jul 19: +303Jul 20: +400Jul 21: +452Jul 22: +352Jul 23: +434Jul 24: +391Jul 25: +259Jul 26: +263Jul 27: +269Jul 28: +240Jul 29: +243Jul 30: +205Jul 31: +214Aug 1: +174Aug 2: +193Aug 3: +136Aug 4: +141Aug 5: +219Aug 6: +162Aug 7: +238Aug 8: +136Aug 9: +99Aug 10: +85Aug 11: +80Aug 12: +36Aug 29: +75Sep 9: +24

    +13,604 stars over 90 days across 37 snapshot days; best day +1,152 on Jul 14.

    Forks

    5.7K+2.0K

    Open issues

    24+8

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth

    View category →
    HKUDS/Vibe-Trading compared with AI Agents repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    morluto/rea270.3K+239.5K601 day ago
    stablyai/orca93.5K+5.4K603 days ago
    lexmount/moli18.7K+5.3K753 days ago
    vxcontrol/pentagi30.5K+5.1K7510 days ago
    DietrichGebert/ponytail164.4K+5.0K752 days ago
    HKUDS/Vibe-Trading35.1K+06411 days ago
    Category median93.5K+5.3K75—
    Compare Vibe-Trading with rea, orca, moli →

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