Estimize

freemium

Estimize crowdsources earnings and macroeconomic estimates from 130,000+ contributors. Outperforms Wall Street consensus 70% of the time. Free contributor access available.

Data & Analytics

Research & Education

Business Intelligence Tools

About

Estimize is the world's largest crowdsourced financial estimates platform, aggregating earnings per share (EPS), revenue, and key performance indicator (KPI) forecasts from a global community of over 130,000 contributors. By drawing on a diverse mix of buy-side professionals, independent investors, sell-side analysts, and academics, Estimize produces a consensus that has been closer to actual reported results 70% of the time compared to legacy sell-side-only datasets. The platform operates on a give-to-get model: contributors who submit estimates for a company gain free access to Estimize data for that earnings release, incentivizing broad participation and deep coverage. On average, Estimize provides more than 2x the number of estimates per earnings release, wider estimate dispersion, and 3x more revisions per estimate than traditional sources. Advanced behavioral and statistical algorithms monitor contributor quality and weight estimates using a proprietary Select Consensus model to filter out erroneous data. Users benefit from smart data visualizations, automated alerts, advanced screening tools, daily Excel file delivery, and leaderboards to track forecast accuracy. Paid tiers unlock full historical data spanning 10+ years across bull and bear markets, API access, factor models, FTP feeds, and premium support — making Estimize suitable for individual investors, quantitative analysts, and institutional asset managers seeking an edge in earnings season. Its superiority is validated by published research from universities including Penn, Temple, Kentucky, and George Washington.

Key Features

Crowdsourced Consensus Engine: Aggregates estimates from 130,000+ contributors — buy-side, sell-side, independent investors, and academics — producing a more accurate consensus than traditional sell-side-only datasets.
Give-to-Get Free Access: Contributors who submit estimates for a company receive free access to Estimize data for that earnings release, incentivizing broad and high-quality participation.
Advanced Quality & Weighting Algorithms: Proprietary behavioral and statistical algorithms monitor each contributor's track record and weight estimates via the Select Consensus model to filter out noise and erroneous data.
Alerts, Screening & Excel Delivery: Automated alerts, advanced stock screening, daily Excel file delivery via email, and leaderboards help users act on data and track their own forecast accuracy.
API & Institutional Data Feeds: Premium tiers offer API access, factor models, FTP raw data feeds, and dedicated premium support for quantitative teams and institutional asset managers.

Use Cases

Quantitative investors backtesting earnings surprise strategies using 10+ years of crowdsourced estimate data via API or FTP feeds.
Independent retail investors gaining free access to crowd consensus EPS and revenue estimates by contributing their own forecasts ahead of earnings season.
Buy-side portfolio managers supplementing internal research with a less-biased, more accurate earnings consensus to inform position sizing around earnings events.
Academic researchers studying forecast accuracy, crowd wisdom, and analyst behavior using Estimize's validated, peer-reviewed dataset.
Institutional risk teams using advanced screening and automated alerts to monitor estimate revisions and consensus drift across large equity universes.

Pros

Proven Accuracy Advantage: The Estimize consensus beats legacy sell-side estimates 70% of the time, validated by over a dozen peer-reviewed academic papers from leading universities.
Free Tier with Real Value: The give-to-get model grants genuine data access at no cost for contributors, lowering the barrier to entry for independent investors and analysts.
Deep Coverage & Long History: More than 2x estimates per release and 10+ years of historical data across full market cycles make it suitable for rigorous quantitative backtesting.
Academically Validated: Peer-reviewed research from Penn, Temple, Kentucky, and George Washington universities independently confirms the platform's forecast quality and reduced bias.

Cons

Premium Plans Are Costly: Individual premium access starts at $99/month ($999/year) and API access at $249/month, which may be prohibitive for casual retail investors.
Coverage Dependent on Contributor Activity: Smaller-cap or less-followed stocks may have limited contributor estimates, reducing consensus reliability for those securities.
Requires Account & Contribution for Free Access: The free tier requires users to actively submit estimates to unlock data, which demands time and financial knowledge not all users possess.

Frequently Asked Questions

Traditional sell-side consensus relies solely on a small group of professional analysts subject to institutional biases. Estimize crowdsources estimates from 130,000+ diverse contributors — including buy-side professionals, independent investors, and academics — producing a consensus that has been more accurate than sell-side-only datasets 70% of the time.

Estimize uses a give-to-get model. When you contribute an EPS, revenue, or KPI estimate for a company's upcoming earnings release, you receive free access to all Estimize data for that release. Creating a free contributor account gets you started immediately.

Premium ($99/month or $999/year) provides full access to the entire Estimize dataset and advanced analytics tools without needing to contribute estimates. Premium Plus ($249/month) adds API access for programmatic data retrieval. Institutional plans include raw data feeds, FTP access, factor models, and scaled pricing.

Advanced behavioral and statistical algorithms continuously monitor each contributor's behavior and estimate history. Estimates are filtered for validity and then weighted using Estimize's proprietary Select Consensus model, which accounts for each contributor's historical accuracy and expertise.

No. While Estimize asks which category of contributor you belong to (buy-side, sell-side, independent, academic, etc.), any contributor can choose to remain fully anonymous when publishing estimates.