About KSINQ关于 KSINQ

A new firm, built on deep experience一家新公司,建立在深厚经验之上

KSINQ is a newly founded, AI-native investment research startup. Our founding team brings deep experience in commodity trade, cross-border operations, and multi-asset investing — now channeled into a purpose-built research platform powered by AI.

KSINQ 是一家新成立的 AI 原生投资研究初创公司。创始团队拥有深厚的大宗商品贸易、跨境运营和多资产投资经验——如今汇聚为一个以 AI 驱动的研究平台。

Why we exist为什么创立 KSINQ

The gap between industry knowledge and investment research产业认知与投资研究之间的鸿沟

Our founders have deep experience in commodity trade — sourcing raw materials, managing logistics, navigating tariffs, capital controls, and cross-border regulations. They watched demand shifts unfold in real time on factory floors, long before those signals appeared in any financial database.

我们的创始人在大宗商品贸易中拥有深厚经验——采购原材料、管理物流、应对关税、资本管制和跨境监管。他们在工厂车间实时观察需求变化,远早于这些信号出现在任何金融数据库中。

Pattern recognition built from real operations, not reports — was never digitized and never systematized. KSINQ was created to change that. 源自真实运营的模式识别能力从未被数字化,也从未被系统化。KSINQ 正是为此而创立。

A new firm purpose-built to encode proprietary industry knowledge into AI-native investment infrastructure.

一家从零开始构建的新公司,将专有产业认知编码进 AI 原生投资基础设施。

Shanghai skyline
Team experience团队经验

KSINQ's founding team brings experience spanning commodity cycles, manufacturing dynamics, supply chain structures, futures trading, and multi-asset investment strategies. As a newly founded firm, we chose to start fresh with AI at the core.

KSINQ 的创始团队拥有横跨大宗商品周期、制造业动态、供应链结构、期货交易和多资产投资策略的综合经验。作为一家新公司,我们选择从零开始,以 AI 为核心构建。

2026
Founded成立年份
6+
Asset classes资产类别
AI
Native from day one第一天起的原生基因
Technology技术能力

AI-native research, human judgmentAI 原生研究,人类判断

Unlike firms that bolt AI onto existing workflows, KSINQ was designed around AI from the ground up. Our research stack includes Claude for reasoning, AKShare for China market data, S&P Global for global fundamentals, and proprietary workflow orchestration — all integrated into a unified decision-making process.

与将 AI 嫁接到现有工作流上的公司不同,KSINQ 从底层围绕 AI 设计。研究技术栈包括 Claude 推理引擎、AKShare 中国市场数据、S&P Global 全球基本面数据,以及自研的工作流编排系统——全部整合进统一的决策流程中。

Every investment thesis is stress-tested through three independent perspectives — buy-side researcher, risk manager, and trader — before capital is deployed. The AI accelerates this process; the human judgment behind it comes from our team's real-world pattern recognition.

每个投资论点在资金部署前,都经过买方研究员、风险管理者和交易员三重独立视角的压力测试。AI 加速了这个过程;背后的人类判断来自团队在真实世界中积累的模式识别能力。

Data analysis
Claude
Reasoning engine推理引擎
AKShare
China data layer中国数据层
S&P Global
Global fundamentals全球基本面
Dify
Workflow orchestration工作流编排
Readwise
Research ingestion研究摄取
Cloudflare
Edge infrastructure边缘基础设施
"The best investment insights come from combining deep industry experience with cutting-edge analytical tools. Quality of thinking matters more than scale of operations." "最好的投资洞察来自深厚产业经验与前沿分析工具的结合。思考的质量比运营的规模更重要。"

We are a small, focused team — and we intend to stay that way. We welcome conversations with institutional investors, family offices, and fellow practitioners who share our belief in disciplined, research-driven investing.

我们是一个小而专注的团队——也打算一直如此。我们欢迎机构投资者、家族办公室和志同道合的从业者与我们对话——那些同样相信纪律性、研究驱动型投资的人。

Explore our intellectual foundation →探索我们的思想基础 →
Let's talk markets聊聊市场

We welcome conversations about trade dynamics, market structure, and cross-border opportunities.

我们欢迎关于贸易动态、市场结构和跨境机遇的对话。

[email protected]
Based in China · Operating globally · ksinq.com