What makes vibe-trading notable?

5.4K downloads. Trust evidence available

How should vibe-trading be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

vibe-trading

Professional finance research toolkit — backtesting (10 engines + benchmark comparison panel), factor analysis, Alpha Zoo (462 pre-built alphas across qlib158/alpha101/gtja191/academic/fundamental), options pricing, 90 finance skills, 30 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 28 market-data sources (tushare, yfinance, okx, binance, akshare, baostock, tencent, mootdx, ccxt, futu, mt5, tickerall, local, eastmoney, sina, stooq, yahoo, pykrx, india_broker, qveris, longbridge, nobitex, wallex, plus optional-key finnhub/alphavantage/tiingo/fmp/gildata). Skill: vibe-trading Owner: warren618 Summary: Professional finance research toolkit — backtesting (10 engines + benchmark comparison panel), factor analysis, Alpha Zoo (462 pre-built alphas across qlib158/alpha101/gtja191/academic/fundamental), options pricing, 90 finance skills, 30 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 28 market-data sources (tushare

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

5.4k

Updated

Oct 9, 2026

Version

0.1.16

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 5.4K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 5.4K downloadsadoption · observed Oct 9, 2026
Latest release: 0.1.16release · observed Sep 29, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17aqp0drym9w3rnrc4hdqtsfh83zz2h:vibe-trading

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-warren618-vibe-trading/snapshot"

Documentation

CLAWHUB

148,186 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: vibe-trading
version: 0.1.16
description: Professional finance research toolkit — backtesting (10 engines + benchmark comparison panel), factor analysis, Alpha Zoo (462 pre-built alphas across qlib158/alpha101/gtja191/academic/fundamental), options pricing, 90 finance skills, 30 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 28 market-data sources (tushare, yfinance, okx, binance, akshare, baostock, tencent, mootdx, ccxt, futu, mt5, tickerall, local, eastmoney, sina, stooq, yahoo, pykrx, india_broker, qveris, longbridge, nobitex, wallex, plus optional-key finnhub/alphavantage/tiingo/fmp/gildata).
dependencies:
  python: ">=3.11"
  pip:
    - vibe-trading-ai
env:
  - name: TUSHARE_TOKEN
    description: "Tushare API token for China A-share data (optional — HK/US/Canada/crypto work without any key)"
    required: false
  - name: OPENAI_API_KEY
    description: "OpenAI-compatible API key — only needed for run_swarm (multi-agent teams). All other tools work without it."
    required: false
  - name: LANGCHAIN_MODEL_NAME
    description: "LLM model name for run_swarm (e.g. deepseek/deepseek-v4-pro). Only needed if using run_swarm."
    required: false
mcp:
  command: vibe-trading-mcp
  args: []
---

# Vibe-Trading

Professional finance research toolkit with AI-powered backtesting (10 engines), multi-agent teams, 90 specialized skills, the **Alpha Zoo** (462 pre-built quantitative alphas across qlib158 / alpha101 / gtja191 / academic / fundamental with one-line CLI benchmarking), and the Shadow Account loop — extract your implicit trading rules from a journal, backtest them across A股/港股/美股/crypto, then see where they would have served you better.

## Setup

```bash
pip install vibe-trading-ai
```

> **Package name vs commands:** The PyPI package is `vibe-trading-ai`. Once installed, you get:
>
> | Command | Purpose |
> |---------|---------|
> | `vibe-trading` | Interactive CLI / TUI |
> | `vibe-trading serve` | Launch FastAPI web server |
> | `vibe-trading-mcp` | Start MCP server (for Claude Desktop, OpenClaw, Cursor, etc.) |

Add to your agent's MCP config:

```json
{
  "mcpServers": {
    "vibe-trading": {
      "command": "vibe-trading-mcp"
    }
  }
}
```

### API Key Requirements

Core research MCP tools work with zero API keys for HK/US/Canada/crypto. After `pip install`, backtesting, market data, factor analysis, options pricing, chart patterns, web search, document reading, trade journal analysis, shadow-account extraction/backtest/report, the Alpha Zoo (462 pre-built alphas), and all 90 skills are ready to use. IBKR tools require a local TWS / IB Gateway session; `run_swarm` requires an LLM key.

| Feature | Key needed | When |
|---------|-----------|------|
| HK/US/Canada equities & crypto | None | Always free (yfinance / stooq / yahoo + OKX) |
| China A-share data | None | Free via akshare / baostock / tencent / sina / eastmoney / mootdx fallback (`TUSHARE_TOKEN` optional fo

_meta.json

{
  "ownerId": "kn770cyb3pxyn6295zdsexszb983yf2p",
  "slug": "vibe-trading",
  "version": "0.1.16",
  "publishedAt": 1790671028271
}

skill-card.md

## Description:

A finance research toolkit for market analysis, strategy backtesting, factor and options analysis, trade-journal review, and multi-agent research.

This skill is ready for commercial/non-commercial use.

## Publisher:

[warren618](https://clawhub.ai/user/warren618)

### License/Terms of Use:

MIT-0

## Use Case:

Traders, researchers, and developers use this skill to analyze market data, test investment strategies, review trading behavior, and produce research reports across equity and crypto markets.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: External MCP servers can expose arbitrary tools when wildcard access is enabled.

Mitigation: Enable only trusted MCP servers and explicitly allowlist the tools the agent needs.

Risk: Broker and OAuth connections can grant higher-risk trading access.

Mitigation: Keep credentials limited to read-only or paper profiles unless live trading is intentionally authorized.

## Reference(s):

- [Vibe-Trading on ClawHub](https://clawhub.ai/warren618/skills/vibe-trading)

## Skill Output:

**Output Type(s):** [Analysis, Markdown, Code, Shell commands, Configuration instructions]

**Output Format:** [Text and structured tool results, with optional HTML or PDF research reports]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Some data providers, multi-agent research, and broker connectors require separate credentials.]

## Skill Version(s):

0.1.16 (source: skill frontmatter and server release)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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