ai-agent

Qlib: AI for Quant Research

Name: Qlib: AI for Quant Research
Author: microsoft

Get AI-powered quant research with Qlib, a platform for founders in finance and fintech.

45,780 stars7,290 forksPythonQuality 8/10Updated 4/22/2026100% free · open source

What it does

Qlib provides a platform for founders in finance and fintech to conduct AI-powered quant research and backtest trading strategies

Install / run

pip install qlib

When to use it

•When you need to backtest a trading strategy before deploying it in a live market
•When you want to analyze and compare the performance of different trading algorithms
•When you need to integrate machine learning models into your quantitative trading workflow

Quick start

1Clone the Qlib repository using `git clone https://github.com/microsoft/qlib.git`
2Install Qlib using `pip install -r requirements.txt` in the cloned repository
3Configure your dataset and trading strategy using the `qlib/config.yaml` file
4Run a backtest using the `qlib/backtest.py` script, specifying your strategy and dataset as arguments
5Visualize the backtest results using the `qlib/analysis.py` script

Ready-to-paste prompt

python scripts/backtest.py -c scripts/config_backend.yaml -m LSTM -d btc

Heads up: Qlib requires a specific version of Python (3.7 or later) and may not work correctly with earlier versions, so ensure you have the correct version installed before trying to use it

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