xtquantai

About xtquantai

迅投 QMT 量化 AI 技能集（Agent Skills）：研报因子回测脚本生成等，适用于 Claude Code / Cursor / Codex / Kimi 等 70+ AI 编程工具

agent-skills claude-code cursor python qmt quant quantitative-trading xtquant

Quick Facts

Stars	127
Forks	35
Language	Python
Category	Codex Skill
License	MIT
Quality Score	42.75/100
Open Issues	8
Last Updated	2026-06-11
Created	2025-03-11
Platforms	claude-code, codex, python
Est. Tokens	~6k

Compatible Skills

These tools work well together with xtquantai for enhanced workflows:

joinquant-skill — semantic(0.50)+complementary+rare_topics+same_lang+similar_pop (67%)
vibe-investing — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
MaliciousAgentSkillsBench — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
ai-agent-camp — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
skills — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is xtquantai?

xtquantai is 迅投 QMT 量化 AI 技能集（Agent Skills）：研报因子回测脚本生成等，适用于 Claude Code / Cursor / Codex / Kimi 等 70+ AI 编程工具. It is categorized as a Codex Skill with 127 GitHub stars.

What programming language is xtquantai written in?

xtquantai is primarily written in Python. It covers topics such as agent-skills, claude-code, cursor.

How do I install or use xtquantai?

You can find installation instructions and usage details in the xtquantai GitHub repository at github.com/dfkai/xtquantai. The project has 127 stars and 35 forks, indicating an active community.

What license does xtquantai use?

xtquantai is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools