Ross ROSS = Recommend OSS · open-source software intelligence for agents

UFund-Me/Qbot

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant observed · 2026-08-28

github.com/UFund-Me/Qbot · homepage · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

54/100

  • Activity 71
  • Release rhythm 8
  • Longevity 98
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1380
  • days_rel: n/a
  • days_push: 175
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

18394 stars · 2590 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Qbot is an AI-powered automated quantitative investment and trading research platform that runs fully locally. It combines machine learning strategies, backtesting, and live trading support for funds, stocks, and crypto assets.

Use cases

  • backtest quantitative trading strategies on historical market data
  • build AI/ML-driven trading strategies for funds and crypto
  • run a fully local automated trading bot
  • research quantitative investment ideas with Jupyter notebooks
  • visualize portfolio performance and market analytics
  • automate live trading with strategy scheduling

When to choose

  • you want an open-source, locally deployed quant research and trading platform in Python
  • you need ML-based strategy development with backtesting built in
  • you trade funds, stocks, or crypto and want automation

When to avoid

  • you need a battle-tested institutional-grade trading system with guaranteed reliability
  • you want a no-code SaaS trading product
  • you need guaranteed financial returns or regulatory compliance support

Facets

application · maturity active

machine-learning trading data-science data-visualization developer-tools fintech machine-learning data-science python cross-platform quantitative-trading backtesting trading-bot fintech qlib strategy-research local-deployment cryptocurrency automation docker

2 sources

Member repositories

RepositoryRoleHealth v2
UFund-Me/Qbotmain54

For agents

markdown · JSON · MCP: product_card(name="UFund-Me/Qbot")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem