liveBook · Manning

Fundamental data

Fundamental data is information about a company’s financial condition, operations, and economic characteristics, derived primarily from accounting records, financial reports, and corporate disclosures.

How 2 Manning books explain it

Financial AI in Practice

Company- and economy-related information derived from financial reports and other measures of underlying financial condition.

How it is used
Positions fundamental data as a potential predictive-signal source for quantitative strategies.
How deep it goes
Identifies fundamental data as a data category but stops short of explaining its fields, processing, or modeling.
Examples
Uses stock splits and survivorship bias to illustrate market-data pitfalls, without giving a fundamental-data example.
What you can do after
Evaluate/understand where fundamental data fits among quantitative data sources and why candidate sources need scrutiny.

Read how Financial AI in Practice explains fundamental data →

Investing for Programmers

Fundamental data is information about a company’s financial condition, operations, and economic characteristics derived primarily from accounting and corporate disclosures.

How it is used
Classifies financial information for company analysis and guides the collection of periodic corporate disclosures.
How deep it goes
Defines quarterly statements and accounting risks, but stops short of valuation methods or detailed accounting-forensics procedures.
Examples
Uses income statements, balance sheets, cash flow statements, regulatory filings, and provider APIs as examples.
What you can do after
Operate a reproducible collection workflow by sourcing filed accounting statements through financial data providers.

Read how Investing for Programmers explains fundamental data →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.