See cross-market shifts across China and global markets before the data catches up — drawn from deep supply chain knowledge, sharpened by AI-assisted analytics.
KSINQ operates at the intersection of cross-border trade and multi-asset investment. With operational infrastructure spanning mainland China, Hong Kong, and the United States, we bring a practitioner's perspective to global markets.
Our edge is structural: real trade flows inform our macro view, AI-native tooling accelerates our research, and cross-region coverage gives us a practitioner perspective where others rely on intermediaries.
Explore our capabilities →KSINQ is an AI-powered research platform that automates cross-border market analysis. We ingest real-time market data, process it through customized LLM workflows, and publish research and commentary across multiple asset classes and markets.
Real-time feeds covering A-shares, ETFs, global fundamentals, commodities, futures, FX, and crypto from 10+ financial data APIs.
Multi-model LLM workflows orchestrated through Dify for fundamental analysis, earnings processing, and macro synthesis.
Structured research output with probability estimates, explicit falsification criteria, and multi-perspective analysis. Every thesis is examined through fundamental, risk, and market structure lenses.
Ongoing monitoring of QDII/LOF premium dynamics, macro regime shifts, and cross-market patterns. Research and commentary published through our website.
Infrastructure runs on Cloudflare (edge delivery & DNS), AWS (Bedrock AI inference & data pipelines), and Google Cloud (compute & analytics).
From raw market data to structured analysis, we build the full stack of cross-border market research.
Custom LLM pipelines for fundamental analysis, earnings transcript processing, and multi-source synthesis across Chinese and global markets.
Learn more →Real-time and historical data across A-shares, HK stocks, US equities, futures, ETFs, and crypto-adjacent equities through custom API orchestration.
Get in touch →Using real trade flows and supply chain signals across energy, metals, and agriculture to inform macro and sector-level research views.
Get in touch →Systematic tracking of cross-listed fund premiums and arbitrage windows between onshore and offshore markets with automated threshold alerts.
Get in touch →Every thesis requires probability estimates, odds assessment, explicit falsification criteria, and structured analytical discipline.
Get in touch →Tracking energy cycles, USD/UST dynamics, China macro, Middle East geopolitics, and semiconductor supply chains as structural drivers.
Get in touch →Our research sits at the intersection of Chinese domestic markets, US capital markets, and global commodity flows — three arenas that increasingly move as one system.
A-shares across Shanghai and Shenzhen, Hong Kong equities via HKEX, and the Stock Connect bridge that links onshore sentiment to offshore capital. We track QDII/LOF premium dynamics as a real-time gauge of cross-border demand.
NYSE and NASDAQ coverage with emphasis on sectors that intersect our trade intelligence — energy infrastructure, semiconductors, crypto-adjacent equities, and the ETF vehicles that channel global capital flows.
Energy, precious metals, industrial metals, and agricultural commodities — tracked through the lens of real trade flows. Our operational background in cross-border commodity trade gives us signal that pure financial analysis often overlooks.
Every research thesis is examined through three independent analytical lenses before forming a view.
Fundamental analysis with causal reasoning. Separate facts from assumptions. Identify catalysts and build conviction through evidence, not narrative.
Tail risk assessment, correlation analysis, and analytical discipline. Every thesis carries explicit criteria for what would prove it wrong.
Liquidity conditions, market microstructure, and cross-market dynamics. Probability-weighted analysis of structural patterns and market setups.
Our founding team's decades of cross-border trade intelligence, encoded into multi-model AI infrastructure. Each layer solves a specific research problem.
We welcome focused conversations about market research, AI tooling, and cross-border context.
[email protected]