Qbot
AI-powered quantitative investment research platform with automated trading.
Open source automated quantitative investment platform for stocks, futures, and crypto.
Qbot provides an end-to-end framework for data retrieval, strategy development, backtesting, and live trading. It is built for quantitative researchers and developers looking to deploy machine learning and reinforcement learning strategies.
What it is
The platform integrates traditional technical indicators with AI-driven modeling paradigms, connecting to multi-broker APIs for equities, futures, options, and cryptocurrencies. It supports backtesting via backtrader and qlib, while offering GUI elements and workflow scheduling through tools like Dagster.
Who it's for
It suits Python-literate quantitative traders and developers who want to run custom algorithmic strategies locally. It does not suit non-technical users looking for a turnkey, click-and-trade retail platform.
Key features
Multi-Market API Support
Connects to numerous stock, futures, options, and crypto brokerages and exchanges.
Machine Learning Paradigms
Supports supervised learning, market dynamics modeling, and reinforcement learning strategies.
Quantstats Integration
Generates performance dashboards and detailed visual stock analytics for strategy backtests.
Dagster Workflow Support
Includes batch processing and pipeline scheduling plugins for financial data pipelines.
Up and running in 3 steps
Our honest verdict
What's great
- Supports live trading and simulation across global crypto exchanges and domestic brokerages
- Comes with pre-written classic technical strategies like MACD and KDJ in Jupyter Notebooks
- Provides multi-factor modeling and deep learning strategy abstractions
- Includes GUI frontend and event-driven backend architecture
Where it falls short
- Requires Python knowledge and familiarity with trading infrastructure to run effectively
- Tested strictly on Python 3.8 and 3.9, which may limit modern environment compatibility
- Real-money trading carries financial risk and requires careful broker API configuration
- Documentation and error handling may require diving into source code to troubleshoot
Pricing & license
The core software is free and open source under its license, with optional paid professional and VIP tiers available from the maintainers.
Open remote AI-training roles
873 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
What markets does Qbot support?
It supports various stock, futures, and options brokerages as well as major cryptocurrency exchanges like Binance, OKX, and Huobi.
Are paid versions available?
Yes, the repository mentions professional and VIP paid tiers offering additional research reports, closed source modules, and 1-on-1 support.
