Financial data and filing analysis

A practical path through filing analysis, financial data definitions, source lineage, and the checks needed to reconcile research inputs.

8 selected guides · Curated by AllMind

Begin with one fact you need to use and trace it back to its source. Identify the company, document, period, unit, definition, and version before comparing it with another value. These guides connect filing review to the data contracts and normalization choices that sit underneath an AI research workflow.

Work through the filing method and data definitions before adding more sources. Then choose the extension that matches your coverage: another jurisdiction, ownership filings, or internal models and estimates. Treat a source difference as something to reconcile explicitly, rather than allowing a generated answer to hide it.

1. Establish the source and its meaning

Start with a filing workflow, then define how financial entities, facts, and evidence fit together.

  1. How to Analyze SEC Filings With AI: A Verification-First Guide

    A practical workflow for using AI on 10-K, 10-Q and 8-K filings, with source controls, a reproducible review checklist and failure tests.

    Read guide : How to Analyze SEC Filings With AI: A Verification-First Guide
  2. What Is a Financial Ontology?

    A precise definition of financial ontologies, how they differ from taxonomies and knowledge graphs, and how to test one in investment research.

    Read guide : What Is a Financial Ontology?
  3. What Makes Financial Data Ready for AI Research?

    A financial-data contract for AI research, covering identity, point-in-time history, semantics, lineage, entitlements, revisions, and provider acceptance tests.

    Read guide : What Makes Financial Data Ready for AI Research?

2. Follow the value through the data process

Examine AllMind’s stated standardization methodology and the workflow for combining permitted evidence sources.

  1. AllMind's Data Standardization Methodology: Our Approach to Fundamentals

    Understanding our comprehensive approach to data standardization, point-in-time preservation, and quality control that powers our terminal.

    Read guide : AllMind's Data Standardization Methodology: Our Approach to Fundamentals
  2. How AllMind Unifies Open, Licensed, and Internal Research

    A practical AllMind workflow for combining public records, entitled research, and internal firm evidence into source-linked investment reports.

    Read guide : How AllMind Unifies Open, Licensed, and Internal Research

3. Extend the workflow to another source

Apply source-specific checks to international filings, institutional holdings, and a team’s own estimate models.

  1. AI Research Tools for SEDAR+, UK and ASX Filings

    How to evaluate AI filing tools across Canada, the UK and Australia using official-source coverage, identity, timing and citation tests.

    Read guide : AI Research Tools for SEDAR+, UK and ASX Filings
  2. Best AI to Analyze 13F Filings and Institutional Positioning

    A source-led field guide to 13F analysis, amendment handling, security mapping, unit controls, and defensible institutional-positioning research.

    Read guide : Best AI to Analyze 13F Filings and Institutional Positioning
  3. AI for Sell-Side Models, Estimates, and Internal Data

    A decision brief for joining house models and estimates to licensed data while preserving cell lineage, estimate vintage, entitlements, and analyst approval.

    Read guide : AI for Sell-Side Models, Estimates, and Internal Data