skills/rice-quant/SKILL.md
RiceQuant RQData Python API - 米筐金融数据Python接口,用于获取中国A股、港股、期货、期权、基金、债券、宏观经济和另类数据。当使用rqdatac编写量化交易和金融分析Python代码时使用此skill。
npx skillsauth add algoderiv/agent-skills rice-quantInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Ricequant rqdata python api - 米筐金融数据python接口,用于获取中国a股、港股、期货、期权、基金、债券、宏观经济和另类数据。当使用rqdatac编写量化交易和金融分析python代码时使用此skill。, generated from official documentation.
This skill should be triggered when:
Quick reference patterns will be added as you use the skill.
Example 1 (rust):
all_instruments(type=None, date=None, market='cn')
Example 2 (rust):
rqdatac.all_instruments(type=None, market='hk', date=None)
Example 3 (rust):
get_pit_financials_ex(order_book_ids, fields, start_quarter, end_quarter, date=None, statements='latest', market='cn')
Example 4 (rust):
futures.get_dominant(underlying_symbol, start_date=None, end_date=None, rule=0, rank=1, market='cn')
Example 5 (json):
[In]
futures.get_dominant('IF', '20160801')
[Out]
date
20160801 IF1608
This skill includes comprehensive documentation in references/:
Use view to read specific reference files when detailed information is needed.
Start with the getting_started or tutorials reference files for foundational concepts.
Use the appropriate category reference file (api, guides, etc.) for detailed information.
The quick reference section above contains common patterns extracted from the official docs.
Organized documentation extracted from official sources. These files contain:
Add helper scripts here for common automation tasks.
Add templates, boilerplate, or example projects here.
To refresh this skill with updated documentation:
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