Build LLMs with 构建基于 AI-ready Financial Data AI-ready 金融数据的 LLM

Building Financial Data Infrastructure for Generative AI 构建金融数据基础设施,赋能生成式 AI

LLMQuant Data Logo

Why Choose LLMQuant Data? 为什么选择 LLMQuant Data?

AI-Native Data Format AI 原生数据格式

Data structured specifically for AI consumption, not human readability 专为 AI 消费设计的数据结构,而非人类可读性

Agent-Ready API Agent 就绪 API

APIs designed for seamless integration with AI agents and LLMs 专为 AI Agent 和 LLM 无缝集成设计的 API

Enterprise Solutions 企业级解决方案

Ready-to-deploy solutions for financial institutions' AI initiatives 为金融机构 AI 计划准备的即用型解决方案

Data API for Generative AI LLM 优化的数据分类

🧩

I. Entities & Fundamentals I. 实体与结构

1. Companies & Instruments 1. 公司与资产基础信息

Symbol, industry, market cap, geography, codes, security structure 代码、行业、市值、地理、证券结构等

LLM Applications: Entity recognition, company background Q&A, asset classification LLM 应用:实体识别、公司背景问答、资产分类

Use Cases: Automated company profile generation, asset classification for portfolio construction, entity relationship mapping 应用场景:自动化公司简介生成、投资组合构建的资产分类、实体关系映射

2. Financials & Valuation 2. 财务与估值指标

Financial reports, earnings forecasts, valuation metrics 财报字段、盈利预测、估值指标

LLM Applications: Financial comparison, valuation screening, earnings analysis LLM 应用:财务比较、估值筛选、盈利分析

Use Cases: Automated financial statement analysis, valuation model generation, earnings surprise prediction 应用场景:自动化财务报表分析、估值模型生成、盈利意外预测

3. Sustainability & Risk Ratings 3. ESG 与信用评级

ESG scores, credit ratings, controversy events ESG评分、信用等级、争议事件

LLM Applications: ESG strategy, risk alerts, sustainability assessment LLM 应用:ESG策略、风险提示、可持续性评估

Use Cases: ESG compliance monitoring, risk factor analysis, sustainable investment screening 应用场景:ESG合规监控、风险因子分析、可持续投资筛选

📆

II. Events & Causal Triggers II. 事件与因果

4. Corporate Events 4. 公司事件

Buybacks, dividends, M&A, layoffs, product launches 回购、分红、并购、裁员、产品发布

LLM Applications: Event-driven strategies, impact analysis, corporate calendar LLM 应用:事件驱动策略、影响分析、公司日历

Use Cases: Event impact prediction, corporate action tracking, strategic decision support 应用场景:事件影响预测、公司行动追踪、战略决策支持

5. Macro Events 5. 宏观/政策事件

CPI, rate decisions, employment, policy changes 通胀、利率决议、就业、政策变化

LLM Applications: Macro interpretation, asset allocation, policy impact LLM 应用:宏观解读、资产配置、政策影响

Use Cases: Macroeconomic scenario analysis, policy impact assessment, asset allocation optimization 应用场景:宏观经济情景分析、政策影响评估、资产配置优化

6. Surprise Factors 6. 预期与实际对比

Expected vs actual results, market reactions 预期与实际结果、市场反应

LLM Applications: Market expectation analysis, surprise factor modeling LLM 应用:市场预期分析、意外因子建模

Use Cases: Earnings surprise prediction, market reaction analysis, expectation management 应用场景:盈利意外预测、市场反应分析、预期管理

💬

III. Behavioral & Research Signals III. 行为与观点

7. Alpha Ideas & Reports 7. 市场观点与研究

Buy/sell side views, independent research, ratings 买卖方观点、独立研究、推荐评级

LLM Applications: Research synthesis, idea generation, view aggregation LLM 应用:研究综合、观点生成、观点聚合

Use Cases: Research report summarization, investment idea generation, consensus view analysis 应用场景:研究报告摘要、投资观点生成、共识观点分析

8. Market Behavior & Flows 8. 市场行为与资金流

Institutional vs retail, ETF flows, exchange data 机构vs散户、ETF申购赎回、交易所流量

LLM Applications: Behavior pattern recognition, sentiment analysis, flow tracking LLM 应用:行为模式识别、情绪分析、资金流向追踪

Use Cases: Market sentiment analysis, flow-based trading signals, investor behavior prediction 应用场景:市场情绪分析、基于资金流的交易信号、投资者行为预测

9. Holdings & Positioning 9. 持仓与配置

13F, ETF disclosures, insider trading, factor exposure 13F、ETF披露、内幕交易、因子暴露

LLM Applications: Portfolio analysis, position tracking, exposure management LLM 应用:组合分析、持仓追踪、暴露管理

Use Cases: Smart beta portfolio construction, factor exposure optimization, institutional position tracking 应用场景:智能贝塔组合构建、因子暴露优化、机构持仓追踪

📰

IV. Text & Knowledge Base IV. 文本与语义

10. Earnings & Transcripts 10. 财报与纪要

Structured financial texts, meeting minutes, SEC filings 结构化财报文本、会议纪要、SEC文件

LLM Applications: Information extraction, event linking, RAG input LLM 应用:信息抽取、事件链接、RAG输入

Use Cases: Automated earnings call analysis, key information extraction, corporate event timeline 应用场景:自动化财报电话会议分析、关键信息抽取、公司事件时间线

11. News & Social Data 11. 新闻与社交语料

News articles, government announcements, social sentiment 新闻文章、政府公告、社交情绪

LLM Applications: Sentiment analysis, topic mining, real-time information LLM 应用:情绪分析、主题挖掘、实时信息

Use Cases: News sentiment trading signals, market impact analysis, real-time event detection 应用场景:新闻情绪交易信号、市场影响分析、实时事件检测

12. Knowledge Graphs 12. 知识图谱与关系网

Entity relationships, supply chains, industry networks 实体关系、供应链、行业网络

LLM Applications: Reasoning chains, entity relationship recognition LLM 应用:推理链、实体关系识别

Use Cases: Supply chain risk analysis, industry relationship mapping, corporate network analysis 应用场景:供应链风险分析、行业关系映射、公司网络分析

⚙️

V. Market & Modeling V. 行情与量化

13. Prices & Aggregated Data 13. 非 Tick 行情

Daily prices, block trades, ETF performance, options data 日线、区块交易、ETF表现、期权数据

LLM Applications: Factor calculation, event backtesting, price analysis LLM 应用:因子计算、事件回测、价格分析

Use Cases: Market microstructure analysis, trading strategy backtesting, price impact modeling 应用场景:市场微观结构分析、交易策略回测、价格影响建模

14. Quant Models & Exposures 14. 模型与因子库

Style factors, strategy models, factor exposures 风格因子、策略模型、因子暴露

LLM Applications: Factor explanation, portfolio construction LLM 应用:因子解释、组合构建

Use Cases: Factor-based portfolio optimization, risk factor attribution, strategy performance analysis 应用场景:基于因子的组合优化、风险因子归因、策略表现分析

15. Risk Signals 15. 风险数据

Volatility, VaR, covariance, extreme event exposure 波动率、VaR、协方差、极端事件暴露

LLM Applications: Risk monitoring, risk explanation, portfolio optimization LLM 应用:风险监控、风险解释、组合优化

Use Cases: Portfolio risk management, stress testing, risk factor monitoring 应用场景:组合风险管理、压力测试、风险因子监控

🧠

VI. Agent Memory VI. Agent 记忆

16. Memory & Dialogue History 16. 智能体记忆

Multi-turn conversations, previous views, executed instructions 多轮对话、历史观点、已执行指令

LLM Applications: Long-context Q&A, multi-turn task execution, personalized responses LLM 应用:长上下文问答、多轮任务执行、个性化响应

Use Cases: Personalized investment advice, continuous portfolio monitoring, automated research assistance 应用场景:个性化投资建议、持续组合监控、自动化研究助手

LLM Integration Features LLM 集成特性

Semantic Understanding 语义理解

Optimized for natural language processing and understanding 针对自然语言处理和理解的优化

Causal Reasoning 因果推理

Support for event impact analysis and causal relationships 支持事件影响分析和因果关系

Agent Memory Agent 记忆

Context preservation and multi-turn conversation support 上下文保持和多轮对话支持

Use Cases 应用场景

Financial Analysis 金融分析

Generate comprehensive financial reports and analysis using data.LLMQuant's structured data 使用 data.LLMQuant 的结构化数据生成全面的财务报告和分析

Market Research 市场研究

Conduct in-depth market research and trend analysis with data.LLMQuant's real-time data 使用 data.LLMQuant 的实时数据进行深入的市场研究和趋势分析

Get in Touch 联系我们