PandaAI QuantFlow

Health v2 · maintenance only

Adoption not part of the score

1037 stars · 288 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PandaFactor is a Python quantitative factor library for financial data analysis, technical indicator computation, and alpha factor construction, with built-in visualization charts. Factors can be written in Python (subclassing Factor) or via a formula DSL, backed by bundled market data with automatic nightly updates and optional LLM integration.

Use cases

• compute quantitative alpha factors for stock data
• calculate technical indicators like momentum and volatility
• backtest custom trading factors in python
• build factors without coding using a formula language
• visualize factor performance charts
• auto-update market data from tushare or ricequant
• research factor ideas for a quant factor competition

When to choose

• you research or build quantitative factors for Chinese A-share markets
• you want both Python and no-code formula ways to define factors
• you need bundled historical data with automatic nightly updates
• you want factor persistence and fast retrieval of computed factors

When to avoid

• you need a full production trading execution system
• you require non-Chinese market data out of the box
• you need permissive licensing - it is AGPL-3.0
• you want a lightweight pure-python library without a MongoDB/local database dependency

Facets

library · maturity active

data-science data-visualization analytics llm-inference database fintech data-science analytics python windows self-hosted quantitative-finance factor-research alpha-factors technical-indicators backtesting a-share-market formula-dsl mongodb trading linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PandaAI-Tech/panda_quantflow")