BigQuant
AI quant research platform for China's A-share market, Python-first
Overview
BigQuant is a Chinese AI quantitative-investing platform: market data across five markets (mainly A-shares), 2,000+ factors, visual and Python strategy building, backtesting, simulated trading and broker-linked live trading by application, plus QuantAgent and an AI research assistant. Free registration; Pro from ¥129.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 1 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- AIStudio visual and Python IDE
- 2,000+ factor library
- 1,000+ classic strategy examples
- Backtesting and simulated trading
- Core platform value-added benefits
- Courses, knowledge base, training camps
- Research reports
- Club events and early access
What you can produce with BigQuant
- Market data across 5+ markets, mainly China A-shares
- 2,000+ prebuilt factor library
- Visual (no-code) and Python strategy IDE
- Backtesting and simulated trading; live trading via brokers by application
- QuantAgent and Cowork AI research assistant
- BigAlpha quant competitions with cash prizes
BigQuant packages what a China-focused quant needs into one browser workspace — A-share-centred data, more than 2,000 factors, a visual builder and a Python IDE, backtesting and simulated trading — and adds AI agents that draft strategies from plain language. Free registration is genuinely useful, with capped compute, and Pro starts at ¥129. Its English interface and North American competition round show some international reach, but the data and community remain overwhelmingly Chinese. The AI does not remove the need for programming skill; the one detailed user complaint on its forum says AI-written code often failed. Live trading needs a broker and an application. Strong value for Chinese-speaking quants researching A-shares, alongside JoinQuant and RiceQuant; investors focused on other markets should look elsewhere.
What we found
BigQuant is an AI quantitative-investing platform run by Chengdu Kuanbang Technology (成都宽邦科技), registered in 2016 and publicly launched in August 2017 after six months of closed testing, by a team from Peking and Tsinghua universities, Microsoft and Tencent. It gives retail and professional quants a browser research environment: market data across five markets, mainly China A-shares with some Hong Kong and US coverage, a library of more than 2,000 factors, a visual no-code strategy builder alongside a Python IDE, backtesting and simulated trading, with live trading through brokers by application. Newer additions include QuantAgent and a "Cowork" AI research assistant that promise strategies without writing code. The interface also renders in English, and its BigAlpha competitions, with cash prizes up to ¥20,000 per winner, ran a North American round at UC Berkeley in 2026.
It competes with JoinQuant and RiceQuant (米筐) for China's quant community, and its edge is breadth: data, factors, tooling, courses and a strategy community under one account.
Registration is free and includes the AI Studio environment, the factor library, more than 1,000 classic strategy examples, backtesting and simulated trading, though free compute per user is capped. Pro membership, with more than 30 platform benefits, is shown from ¥129, discounted during a ninth-anniversary sale to 7 October; full plan prices appear only after login. A separate PLUS membership bundles courses, a knowledge base, training camps, research reports and community events, without a published price. A GitHub repository for a Python SDK exists but so far holds only a readme announcing a forthcoming release.
Public user feedback is sparse. One detailed post on BigQuant's own forum complained that AI-written code often failed to run, that the "zero-code" pitch still demands real programming skill, and that help was hard to search; one other user agreed. That is a single voice rather than a pattern, but it matches what you should expect: the AI shortens the work, it does not replace knowing Python and markets. Strong for Chinese-speaking quants trading A-shares; others will find better-covered markets elsewhere.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
About this listing
This entry was compiled from publicly available data including BigQuant's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with BigQuant unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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