Qbot
Some data may be outdated — see provenance labels.
[🔥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 · 2026-10-02
Health v2 · maintenance only
51/100
- Activity 63
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1428
- days_rel: n/a
- days_push: 223
- n_releases_24m: 0
Adoption not part of the score
18568 stars · 2603 forks observed · 2026-10-02
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-19, confidence 0.97
Qbot is an AI-powered quantitative investment platform that enables automated trading strategies with local deployment. It provides tools for data analysis, model training, backtesting, and live trading execution.
Use cases
- automate quantitative trading strategies using AI models
- backtest and evaluate trading algorithms on historical market data
- perform portfolio optimization with machine learning techniques
- run live trading bots on local machines without cloud dependencies
- experiment with new financial models and strategies in a Jupyter environment
When to choose
- you need a locally deployed, open-source solution for AI-driven quantitative trading
- you want to integrate custom machine learning models into your trading workflow
- you prefer a Python-based platform with extensive documentation and community support
When to avoid
- you require a fully managed, cloud-native trading service with built‑in brokerage integrations
- your team lacks Python expertise or experience with quantitative finance
- you need real‑time ultra‑low latency execution beyond what a local setup can provide
Facets
application · maturity active
machine-learning data-science api-framework cli artificial-intelligence machine-learning data-science python windows cli quantitative-trading ai-quant backtesting strategy-optimization portfolio-management finance linux macos
2 sources
- readme: https://github.com/UFund-Me/Qbot · fetched 2026-10-02 · 54d603250218
- homepage: https://github.com/Charmve · fetched 2026-10-05 · 0e1ba3129934
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| UFund-Me/Qbot | main | 51 |
| UFund-Me/UFund-miniprogram | frontend | 30 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem