Skip to content
scotch222 edited this page Aug 8, 2017 · 9 revisions

Estimize

http://www.estimize.com/

Public Sandbox Description

Estimize is an open financial estimates platform which facilitates the aggregation of fundamental estimates from independent, buy-side, and sell-side analysts, along with those of private investors and students. By sourcing estimates from a diverse community of individuals, Estimize provides both a more accurate and more representative view of expectations compared to sell side only data sets which suffer from several severe biases.

Information

Contact Details
[email protected] https://www.linkedin.com/company/estimize
{ phone } { crunchbase }
{ google-plus }
Social Media
{ twitter }
{ instagram }
{ facebook }

Sandbox Member:

  • Data Provider Since: { provider_start_date }

Contact Information

Profile Name Role Email Address LinkedIn Twitter Slack Skills
{ person1_name } { person1_role } { person1_email } { person1_linkedin } { person1_twitter } { person1_slack } { person1_skills }

Available products

Estimize API

Integrate Estimize data into your financial models. Programmatically. Real-time.

Top investment professionals around the globe use the Estimize earnings data set to benchmark their expectations against their peers, manage risk, and find alpha producing opportunities.

Estimize now also serves Economic Indicator data, providing the most up-to-date economic expectations data for Commodities, Employment, Prices, Production, Housing, and more.

Our API returns data in an easy-to-use JSON format, powering your models with expectations updated with live market information. We offer individual licenses on a per-seat basis, and licenses for institutions on a desk-by-desk or firm-wide.

Business Model Specs:

  • Cost or Licensing Structures: { product1_costs }

Technical Specs:

  • Delivery Method: { product1_delivery_method }
  • Update Frequency: { product1_update_frequency }

Marketing Materials (list of pdfs or files that have been uploaded to the wiki)

  • { product1_marketing_doc_1 }
  • { product1_marketing_doc_2 }

Technical Documents (list of pdfs or files that have been uploaded to the wiki)

  • { product1_technical_doc_1 }
  • { product1_technical_doc_2 }

Reviews

{ review1_sandbox_member }: { review1_date }

{ review1_text }

{ review2_sandbox_member }: { review2_date }

{ review2_text }

Overview:

Estimize is an open financial estimates platform which helps to aggregate fundamental estimates from buy-side, sell-side analysts, investors and students. Under the crowdsourcing system, 12,738 analysts are contributing.

Estimize generates the consensus earnings estimates from a community of its members. Its predictive analytics system also calculates the accuracy of individual estimates with confidence scores. Estimize is also part of BenZinga's Playground Datasets which serves as a platform for external and niche data providers.

Company website: estimize.com

Types of Featured Data:

  • Equity (free-access):
    • Earnings and revenue estimates
    • Equities are categorized by sectors
  • Economics (free-access):
    • Estimates on economic indicators
    • Examples: housing, employment, CPI, etc.
  • Their API database provides more detailed data for analytics:
    • Equity and economics: Estimize estimates and Wall Street consensus in addition to the data available from free databases aforementioned.
  • Equity screener

Review on Estimize:

  • Uncertainty of Estimize estimates

    • Our analysis from Estimize has shown that the range of EPS forecasted is much larger compared to Wall Street consensus.
    • More examples can be viewed here.
  • Wisdom of the crowd?

    • Everyone can contribute to the pool of estimates regardless of the qualification. The community is split broadly among individual investors, buy-side and sell-side professionals.
    • However, the estimates can be more independent than brokers, considering the potential conflicts of interests faced by analysts.
    • The company is newly established in 2011, will their methodology sustain throughout economic cycles?
  • Research results from Deutsche Bank

    • They did a statistical research on Estimize and Wall Street consensus (IBES).
    • Majority of Estimize forecasts are keyed in one week or a few days before the earnings announced rather than several weeks ahead by Wall Street analysts. The timeliness is a major reason why Estimize is more accurate 2/3 of the time when stocks are covered by more than 20 community analysts.
    • Performance comparison:
      • As the time gets closer to the announcement date and more analysts cover the stock, Estimize forecasts become more accurate.
      • One day or one week before the announcement: Estimaize outperforms; one month before the announcement: Wall Street consensus outperforms.
      • In Estimize, buy-side estimates are more accurate than the sell-side. However, IBES error rate is smaller than sell-side analysts from Estimize. This underlines more experienced analysts do not contribute to Estimize.
      • The reasons above also partly explain why Estimate non-professionals have better estimates than professionals.
  • Short-term trading strategies based on Estimize estimates do generate positive alpha. Due to the diversity of views, it also appears to be a better market sentiment indicator reflected by the post earning trading results.

  • Lastly, because of the timeliness and diversity, the estimates in the Estimize system may represent a distinct alternative to the Wall Street consensus.

  • More white paper results can be viewed here.

Data Access:

  • APIs can be used to request the data.
  • API requests should be made to http://api.estimize.com/.
  • You must supply your API key in the HTTP header X"Estimize"Key.
  • More details can be requested here.

Data Formats:

  • Estimize supports the JSON format.

Reference:

Data Providers

Sandbox Participants

Guides

  • Data Agreement
  • Product Development Pipeline
Clone this wiki locally