Geographical Coverage - Full coverage of all listed companies
Country - China
History - Comprehensive historical data since 2016
Data Source - Shanghai & Shenzhen Stock Exchange
Delivery - API Direct Feed or Consumption Based via Orbit Data Studio
Point in time
Multiple data formats to suit any strategy ( TXT / Vectors ) in either a page or paragraph structure.
Data suitable for Large Language Models (LLM's)
Flexibility tailored to your strategy (Consumption-based, tailored to your portfolio, complete data access, SaaS platform.)
Automatically generate accurate datasets utilising Orbit's Global Exchange Filings.
History - Comprehensive historical data since 2016
Data Source - Shanghai & Shenzhen Stock Exchange
Data Frequency - Intraday
Overview
Orbits China A Share Exchange Filings data encompasses a vast array of critical information, including financial statements, annual reports, earnings releases, insider trading disclosures, corporate events, and other material developments that can significantly impact the company's financial performance and market perception.
Orbit has the full capabilities to provide clients with the correctly formatted data to meet any internal use cases. Having correctly formatted data is crucial for large language models like GPT-3.5, as it significantly impacts the model's performance, efficiency, and generalization capabilities.
As an additional layer, we allow clients to automatically generate accurate datasets, utalise over 45 advanced Natural Language Processing (NLP) and Machine Learning (ML) models to extract data efficiently from millions of PDF’s, and form their own complete datasets ready for live trading or to be fully compatible to feed into internal systems or LLM’s. This includes full coverage of all publically listed companies across the A Share market with historical data since 2016 in a machine-readable format split into either paragraph or page TXT structure.