MCP اور ٹول کالنگ

Vibe-Trading: Your Personal Trading Agent

hkuds/vibe-trading

An open-source Python-based AI agent framework designed to provide comprehensive trading, backtesting, and quantitative finance capabilities via a single command.

★ 30.1Kستارے
⑂ 4.8Kفورکس
41کھلے مسائل
Pythonزبان
MITلائسنس
Q98ادارتی اسکور

پروجیکٹ کے اسکرین شاٹس

Vibe-Trading: Your Personal Trading Agent کا اسکرین شاٹ Vibe-Trading: Your Personal Trading Agent کا اسکرین شاٹ

جائزہ

Vibe-Trading is a multi-agent AI trading system developed by HKUDS. It integrates an LLM-powered agent with a FastAPI backend and a React 19 frontend, allowing users to deploy a personal trading agent for market research, backtesting, and execution. The project supports multiple global markets, including US, Canada, China (A-shares), Korea (KRX), and cryptocurrency (USD-M perpetuals). It features a robust quantlib layer with tested financial math functions, an auditable execution ledger, and an MCP (Model Context Protocol) surface exposing 64 tools.

اہم خصوصیات

  • Multi-agent AI core with LLM integration
  • Backtesting engines for 9 markets (US, Canada, China, Korea, Crypto, etc.)
  • MCP surface with 64 tools
  • Tested `quantlib` finance-math layer (~250 functions)
  • Shadow Account for simulated tracking
  • Risk x-ray artifacts for portfolio backtests
  • Hash-chained audit ledger for tamper detection
  • Sandboxed strategy code generation (blocks broker imports, sockets, subprocesses)
  • Electron desktop shell with safeStorage credential management
  • Five-locale web UI support

ضروریات، انسٹالیشن اور فوری آغاز

Install via PyPI using: pip install vibe-trading-ai

استعمال

After installation, users can run the agent via command line or interact through the web UI. The system supports non-interactive runs (`vibe-trading run`), scheduled research jobs with IANA timezone support, and MCP integration. State and sessions are stored under `~/.vibe-trading` (relocatable via `VIBE_TRADING_HOME`).

ماڈل کی مطابقت اور استعمال کے مواقع

Supports OpenAI-compatible endpoints, including ModelScope (defaulting to Qwen/Qwen3.5-27B). Includes adapters for Claude models (opus-4-7, opus-5, sonnet-5) that handle deprecated `temperature` fields. Supports OpenAI Codex OAuth and direct-OpenAI `reasoning_effort`.

لائسنس اور خطرے سے متعلق نوٹس

MIT License.

Editorial verification 2026-08-09: repository URL, owner, description, license and repository statistics were reviewed. License metadata: MIT. README was fetched for the channel draft; re-check repository dependencies, releases and model terms before production use.

ریلیز اور دیکھ بھال

Recent updates (as of August 2026) include secure Windows packaging, Canadian equities market support, ModelScope provider integration, a tested finance-math layer (`src/quantlib`), institutional holdings tools, Korea (KRX) market engine, and various correctness fixes for fundamentals, A-share prices, and gap-safe returns.

MemPalace

mempalace/mempalace

★ 58KPython

litellm

berriai/litellm

★ 56.8KPython

QwenPaw

agentscope-ai/qwenpaw

★ 33.9KPython

Composio

composiohq/composio

★ 29.5KTypeScript