VOL. XCIV, NO. 247

★ A CURATED DIRECTORY OF FINANCIAL TOOLS ★

PRICE: 5 CENTS

Saturday, December 13, 2025

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Tool Comparison

Fiscal.ai vs r/SecurityAnalysis - Letters Wiki comparison

Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.

Quick takeaways

Fiscal.ai adds Screeners, Stock Comparison, Data Visualizations, Portfolio, Watchlist, Investor Holdings, ETF Overview, ETF Performance, ETF Holdings, ETF Fundamentals, ETF Valuation, Financials, Valuation Models, Dividends, Insider Data, Institutional Data, 13F, Improved Filings, Transcripts, Analyst Forecasts, Analyst Recommendations, Analyst Price Targets, News, Alerts, Calendar, Splits, Data APIs, APIs & SDKs, Webhooks, AI, AI Chat, AI Business Summary, AI Earnings Summary, AI Filings Summary, AI Report, and Blogs coverage that r/SecurityAnalysis - Letters Wiki skips.

r/SecurityAnalysis - Letters Wiki includes Forums, and Playbooks & Case Studies categories that Fiscal.ai omits.

In depth comparison

Fiscal.ai logo

Fiscal.ai

fiscal.ai

Editor’s pick Hands-on review

All‑in‑one AI‑powered fundamental research terminal and institutional‑grade data API for global equities, ETFs & funds. Combines deep financials, segments & KPIs, ownership/13F data, IR content, analyst estimates, screeners, dashboards and an AI Copilot into a single workflow. Enterprise and API tiers target professional investors and fintechs with long history, auditability back to filings, and SOC2 Type II security.

Platforms

WebAPI

Pricing

FreeSubscription

Quick highlights

  • Modern web-based research terminal with dashboards, customizable watchlists, portfolio stats, and fundamental charting for 100,000+ global stocks, ETFs, and funds.
  • Deep fundamental coverage: 10–20+ years of annual and 6–40+ quarters of quarterly financials by plan, with ratios, common-size statements, and adjusted metrics.
  • Rich segment & KPI database across ~2,300 large-cap names, including company-specific business KPIs that are hard to aggregate manually.
  • AI Copilot for conversational research, capable of summarizing earnings, screening for ideas, comparing peers, and explaining drivers with citations back to sources.
  • Integrated analyst estimates, revisions, ratings, and price targets, linked to standardized and adjusted metrics for easier model building.

Community votes (overall)

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r/SecurityAnalysis - Letters Wiki logo

r/SecurityAnalysis - Letters Wiki

reddit.com

Community‑maintained directory of investor/fund letters and reports, organized by year/quarter. Publicly viewable; edits limited to approved contributors. Links out to original PDFs/posts on managers’ sites. No data feeds, APIs, or exports-pure research reading list.

Platforms

Web

Pricing

Free

Quick highlights

  • Chronological index of letters grouped by year and quarter (2016→present in the wiki).
  • Publicly readable wiki page with edit permissions restricted to approved users/moderators.
  • ‘Others’ section pointing to classic collections (e.g., Austin Value, Nomad Partnership, Peter Lynch).
  • Direct outbound links to the letters on manager sites; useful for primary-source research.

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Where they differ

Fiscal.ai

Distinct strengths include:

ScreenersStock ComparisonData VisualizationsPortfolioWatchlistInvestor HoldingsETF OverviewETF Performance
  • Modern web-based research terminal with dashboards, customizable watchlists, portfolio stats, and fundamental charting for 100,000+ global stocks, ETFs, and funds.
  • Deep fundamental coverage: 10–20+ years of annual and 6–40+ quarters of quarterly financials by plan, with ratios, common-size statements, and adjusted metrics.
  • Rich segment & KPI database across ~2,300 large-cap names, including company-specific business KPIs that are hard to aggregate manually.
  • AI Copilot for conversational research, capable of summarizing earnings, screening for ideas, comparing peers, and explaining drivers with citations back to sources.

r/SecurityAnalysis - Letters Wiki

Distinct strengths include:

ForumsPlaybooks & Case Studies
  • Chronological index of letters grouped by year and quarter (2016→present in the wiki).
  • Publicly readable wiki page with edit permissions restricted to approved users/moderators.
  • ‘Others’ section pointing to classic collections (e.g., Austin Value, Nomad Partnership, Peter Lynch).
  • Direct outbound links to the letters on manager sites; useful for primary-source research.

Feature-by-feature breakdown

AttributeFiscal.air/SecurityAnalysis - Letters Wiki
Categories

Which research workflows each platform targets

Shared: Newsletters, Education

Unique: Screeners, Stock Comparison, Data Visualizations, Portfolio, Watchlist, Investor Holdings, ETF Overview, ETF Performance, ETF Holdings, ETF Fundamentals, ETF Valuation, Financials, Valuation Models, Dividends, Insider Data, Institutional Data, 13F, Improved Filings, Transcripts, Analyst Forecasts, Analyst Recommendations, Analyst Price Targets, News, Alerts, Calendar, Splits, Data APIs, APIs & SDKs, Webhooks, AI, AI Chat, AI Business Summary, AI Earnings Summary, AI Filings Summary, AI Report, Blogs

Shared: Newsletters, Education

Unique: Forums, Playbooks & Case Studies

Asset types

Supported asset classes and universes

Stocks, ETFs, Mutual Funds, Funds

Other

Experience levels

Who each product is built for

Beginner, Intermediate, Advanced

Beginner, Intermediate, Advanced

Platforms

Where you can access the product

Web, API

Web

Pricing

High-level pricing models

Free, Subscription

Free

Key features

Core capabilities called out by each vendor

Unique

  • Modern web-based research terminal with dashboards, customizable watchlists, portfolio stats, and fundamental charting for 100,000+ global stocks, ETFs, and funds.
  • Deep fundamental coverage: 10–20+ years of annual and 6–40+ quarters of quarterly financials by plan, with ratios, common-size statements, and adjusted metrics.
  • Rich segment & KPI database across ~2,300 large-cap names, including company-specific business KPIs that are hard to aggregate manually.
  • AI Copilot for conversational research, capable of summarizing earnings, screening for ideas, comparing peers, and explaining drivers with citations back to sources.
  • Integrated analyst estimates, revisions, ratings, and price targets, linked to standardized and adjusted metrics for easier model building.
  • Ownership & flow data, including insider transactions, institutional holders, 13F data and curated ‘Super Investors’ views and hedge fund letters.

Unique

  • Chronological index of letters grouped by year and quarter (2016→present in the wiki).
  • Publicly readable wiki page with edit permissions restricted to approved users/moderators.
  • ‘Others’ section pointing to classic collections (e.g., Austin Value, Nomad Partnership, Peter Lynch).
  • Direct outbound links to the letters on manager sites; useful for primary-source research.
Tested

Verified by hands-on testing inside Find My Moat

Yes

Not yet

Editor pick

Featured inside curated shortlists

Highlighted

Standard listing

Frequently Asked Questions

Which workflows do Fiscal.ai and r/SecurityAnalysis - Letters Wiki both support?

Both platforms cover Newsletters, and Education workflows, so you can research those use cases in either tool before digging into the feature differences below.

Do Fiscal.ai and r/SecurityAnalysis - Letters Wiki require subscriptions?

Both Fiscal.ai and r/SecurityAnalysis - Letters Wiki keep freemium access with optional paid upgrades, so you can trial each platform before committing.

How can you access Fiscal.ai and r/SecurityAnalysis - Letters Wiki?

Both Fiscal.ai and r/SecurityAnalysis - Letters Wiki prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.

What unique strengths set the two platforms apart?

Fiscal.ai differentiates itself with Modern web-based research terminal with dashboards, customizable watchlists, portfolio stats, and fundamental charting for 100,000+ global stocks, ETFs, and funds., Deep fundamental coverage: 10–20+ years of annual and 6–40+ quarters of quarterly financials by plan, with ratios, common-size statements, and adjusted metrics., and Rich segment & KPI database across ~2,300 large-cap names, including company-specific business KPIs that are hard to aggregate manually., whereas r/SecurityAnalysis - Letters Wiki stands out for Chronological index of letters grouped by year and quarter (2016→present in the wiki)., Publicly readable wiki page with edit permissions restricted to approved users/moderators., and ‘Others’ section pointing to classic collections (e.g., Austin Value, Nomad Partnership, Peter Lynch)..

Keep exploring

Keep exploring

Stay on top of related tools

Browse the categories and profiles that overlap most with this comparison to round out your shortlist.

Recommended tools

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Curation & Accuracy

This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).

Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.