# Estimates, Events & Fund Flows — alternative data chapter XX (EST)

Canonical: https://altdataatlas.com/category/estimates-events-flows
JSON: https://altdataatlas.com/api/categories/estimates-events-flows.json
As of: 2026-09-24
Licence: AltData Atlas Data Licence v1 (https://altdataatlas.com/agents#licence) — attribution required; no bulk redistribution. Not investment advice.

> Estimates, events, and fund-flow data is market metadata: analyst consensus, corporate-event and dividend calendars, and records of money moving in and out of funds.

10 providers tracked, 10 verified, 1 offers a free sample.

## Primer

This category covers the forward-looking scaffolding of the market: consensus earnings and revenue estimates, calendars of corporate events such as earnings dates, dividends, splits, and conferences, and measurements of where money is actually flowing between funds and asset classes. Providers assemble these from analyst contributions, corporate-actions databases, and fund-level reporting, then clean and standardise them so they line up cleanly against tickers. Alongside the datasets sit the data marketplaces that aggregate and redistribute non-market financial and economic series.

Investors use consensus estimates to define what the market already expects and to measure surprise; they use event calendars to schedule research and manage exposure around catalysts; and they use fund-flow data to read sentiment and positioning across regions and sectors. A dividend-forecast feed, for instance, lets an income investor model two fiscal years of expected payments, while a fund-flow series can flag a rotation out of an asset class before prices fully reflect it.

Key buyer considerations are the breadth and timeliness of contributor or fund coverage, the depth of point-in-time history needed to back-test without look-ahead bias, and the accuracy of corporate-event dates. For marketplace data, the questions shift to licensing terms, provenance, and how cleanly third-party series are documented and maintained.

Typical universe: Broad listed universes — consensus estimates, corporate-event calendars and fund flows are sector-agnostic and typically span global developed-market equities.

## Providers

Since = earliest year on record for the provider. Price bands are indicative: < $50k, $50–150k, $150k+; — = not published. Coverage tier: inferred = editorial inference (likely, unconfirmed); stated = quoted from the provider's own page. Each provider has a Markdown twin at /provider/<id>.md.

| Provider | Since | Delivery | Price band | Sample | Verified | Coverage tier | Regions | Approx. companies | Ticker-mapped |
|---|---|---|---|---|---|---|---|---|---|
| [Accrue](https://altdataatlas.com/provider/accrue) | 2016 | — | — | — | yes | inferred | Europe | — | not stated |
| [DataYes](https://altdataatlas.com/provider/datayes) | 2013 | — | — | — | yes | inferred | Asia-Pacific | — | not stated |
| [EPFR](https://altdataatlas.com/provider/epfr) | 1995 | — | — | — | yes | inferred | North America | — | not stated |
| [Estimize](https://altdataatlas.com/provider/estimize) | 2011 | — | — | — | yes | inferred | North America | — | not stated |
| [Exante Data](https://altdataatlas.com/provider/exante-data) | 2016 | — | — | — | yes | inferred | North America | — | not stated |
| [Nasdaq Data Link](https://altdataatlas.com/provider/nasdaq-data-link) | 2012 | API | — | — | yes | inferred | North America | — | not stated |
| [QUICK Corp](https://altdataatlas.com/provider/quick-corp) | 1971 | — | — | — | yes | stated | Asia-Pacific, Global | 76,000 | not stated |
| [Scanverity](https://altdataatlas.com/provider/scanverity) | — | API, Dashboard | < $50k | yes | yes | stated | Europe | 190,877 | not stated |
| [Wall Street Horizon](https://altdataatlas.com/provider/wall-street-horizon) | 2003 | — | — | — | yes | stated | Global, North America | 11,000 | yes |
| [Woodseer](https://altdataatlas.com/provider/woodseer) | 2017 | — | — | — | yes | stated | Global | — | yes |

## Sector coverage

| Sector | Providers | Stated | Page |
|---|---|---|---|
| Energy | 25 | 9 | https://altdataatlas.com/coverage/estimates-events-flows/energy |
| Materials | 25 | 9 | https://altdataatlas.com/coverage/estimates-events-flows/materials |
| Industrials | 25 | 10 | https://altdataatlas.com/coverage/estimates-events-flows/industrials |
| Consumer Discretionary | 28 | 12 | https://altdataatlas.com/coverage/estimates-events-flows/consumer-discretionary |
| Consumer Staples | 27 | 10 | https://altdataatlas.com/coverage/estimates-events-flows/consumer-staples |
| Health Care | 25 | 12 | https://altdataatlas.com/coverage/estimates-events-flows/health-care |
| Financials | 25 | 10 | https://altdataatlas.com/coverage/estimates-events-flows/financials |
| Information Technology | 26 | 13 | https://altdataatlas.com/coverage/estimates-events-flows/information-technology |
| Communication Services | 26 | 12 | https://altdataatlas.com/coverage/estimates-events-flows/communication-services |
| Utilities | 26 | 10 | https://altdataatlas.com/coverage/estimates-events-flows/utilities |
| Real Estate | 26 | 11 | https://altdataatlas.com/coverage/estimates-events-flows/real-estate |

Cite as: AltData Atlas, Estimates, Events & Fund Flows (https://altdataatlas.com/category/estimates-events-flows), as of 2026-09-24. AltData Atlas Data Licence v1.