Cross-border market research

Where trade insight meets global markets

See cross-market shifts across China and global markets before the data catches up — read from deep supply chain knowledge, sharpened by AI-assisted analytics.

3 Regions·6+ Asset Classes·AI-Native

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About KSINQ

Bridging markets with intelligence

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.

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Platform

How KSINQ works

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.

AKShare

API

Financial Data

API

Custom APIs

Ingest

Real-time feeds covering A-shares, ETFs, global fundamentals, commodities, futures, FX, and crypto from 10+ financial data APIs.

Analyze

Multi-model LLM workflows orchestrated through Dify for fundamental analysis, earnings processing, and macro synthesis.

Claude

Dify

AWS Bedrock

Scenario testing

Risk framework

Synthesize

Structured research output with probability estimates, explicit falsification criteria, and multi-perspective analysis. Every thesis is examined through fundamental, risk, and market structure lenses.

Publish

Ongoing monitoring of QDII/LOF premium dynamics, macro regime shifts, and cross-market patterns. Research and commentary published through our website.

Cloudflare

API

Endpoints

Dashboards

Infrastructure runs on Cloudflare (edge delivery & DNS), AWS (Bedrock AI inference & data pipelines), and Google Cloud (compute & analytics).

Capabilities

Intelligence at every layer

From raw market data to structured analysis, we build the full stack of cross-border market research.

AI research workflows

Custom LLM pipelines for fundamental analysis, earnings transcript processing, and multi-source synthesis across Chinese and global markets.

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Multi-market data infrastructure

Real-time and historical data across A-shares, HK stocks, US equities, futures, ETFs, and crypto-adjacent equities through custom API orchestration.

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Cross-border trade intelligence

Using real trade flows and supply chain signals across energy, metals, and agriculture to inform macro and sector-level research views.

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QDII & LOF premium analytics

Systematic tracking of cross-listed fund premiums and arbitrage windows between onshore and offshore markets with automated threshold alerts.

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Analytical risk framework

Every thesis requires probability estimates, odds assessment, explicit falsification criteria, and structured analytical discipline.

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Macro & geopolitical overlay

Tracking energy cycles, USD/UST dynamics, China macro, Middle East geopolitics, and semiconductor supply chains as structural drivers.

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CSI 300Hang Seng IndexS&P 500WTI Crude OilCOMEX GoldLME CopperUSD/CNHBTC/USDCSI 300Hang Seng IndexS&P 500WTI Crude OilCOMEX GoldLME CopperUSD/CNHBTC/USD

Markets we cover

Three markets. One connected view.

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.

China Equities

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.

A-sharesHKEXStock ConnectQDII/LOF

US Equities & ETFs

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.

NYSENASDAQETFsCrypto equities

Commodities & Futures

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.

Crude oilGoldCopperAgriculture

Regions

Asset classes

24/5

Market hours

Approach

Three lenses, one decision

Every research thesis is examined through three independent analytical lenses before forming a view.

Perspective I

Fundamental analysis

Fundamental analysis with causal reasoning. Separate facts from assumptions. Identify catalysts and build conviction through evidence, not narrative.

Perspective II

Risk assessment

Tail risk assessment, correlation analysis, and analytical discipline. Every thesis carries explicit criteria for what would prove it wrong.

Perspective III

Market structure

Liquidity conditions, market microstructure, and cross-market dynamics. Probability-weighted analysis of structural patterns and market setups.

Infrastructure

AI-native research stack

Our founding team's decades of cross-border trade intelligence, encoded into multi-model AI infrastructure. Each layer solves a specific research problem.

Reasoning

ClaudeGPT-5.5OpenRouter

Multi-model orchestration — right model for each task

Data

MCPAKShareFinancial DataReadwise

AI talks directly to market data via Model Context Protocol

Workflow

DifyClaude Code

Signal detection → context assembly → multi-lens analysis

Cloud

AWSGCPCloudflare

Multi-region for cross-border compliance and low latency