VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Saturday, September 27, 2025
Investors comparing Estimize and QuantRocket will find that Both Estimize and QuantRocket concentrate on Screeners, and Data APIs workflows, making them natural alternatives for similar investment research jobs. Estimize leans into Alerts, Calendar, and Analyst Forecasts, which can be decisive for teams that need depth over breadth. QuantRocket stands out with Quant, Backtesting, and Auto-Trading & Bots that the competition lacks. Use the feature-by-feature table to inspect unique capabilities and confirm which roadmap best maps to your process.
Head-to-head
Estimize vs QuantRocket
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
- Estimize adds Alerts, Calendar, Analyst Forecasts, and Inflation Rates coverage that QuantRocket skips.
- QuantRocket includes Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, and Broker Connectors categories that Estimize omits.
- Estimize highlights: Crowdsourced EPS and revenue estimates on a non-GAAP basis, with more than 120,000 contributors and coverage of over 3,000 stocks and 80+ macro indicators each quarter., Earnings and economic calendars (including CPI and PPI) with the ability for users to submit their own estimates., and Premium subscription provides access to the complete Estimize dataset without the need to contribute, plus advanced screening tools and customizable alerts ($99/month)..
- QuantRocket is known for: Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca., Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter., and Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets..
Estimize
estimize.com
Crowdsourced earnings and macro estimates platform. The free community tier lets you view and contribute forecasts, while Premium ($99/month) unlocks the full dataset without contributing, plus screening and alerts. Enterprise clients can access data through real-time APIs, daily FTP feeds, or Excel files. A public REST API exists for community data.
Platforms
Pricing
Quick highlights
- Crowdsourced EPS and revenue estimates on a non-GAAP basis, with more than 120,000 contributors and coverage of over 3,000 stocks and 80+ macro indicators each quarter.
- Earnings and economic calendars (including CPI and PPI) with the ability for users to submit their own estimates.
- Premium subscription provides access to the complete Estimize dataset without the need to contribute, plus advanced screening tools and customizable alerts ($99/month).
- APIs and data delivery: a public REST API with some open endpoints, plus enterprise delivery via real-time API, daily FTP, or daily Excel files.
- Embeddable Estimize widget available for third-party sites.
QuantRocket
quantrocket.com
A Docker-based research, backtesting, and live-trading platform built around Jupyter. The free tier is limited to research, while paid plans unlock live and paper trading along with bundled US minute-bar data. Broader global datasets are available via third-party providers. Its tight IBKR integration brings advanced order types, while real-time market data can be streamed from IBKR, Polygon, or Alpaca.
Categories
Platforms
Pricing
Quick highlights
- Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca.
- Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter.
- Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets.
- Deep IBKR integration enabling advanced order types such as algorithmic, parent-child, and bracket orders, as well as combos/spreads, margin 'what-if' checks, option greeks, and auction imbalance data.
- Streams tick-level data into TimescaleDB with WebSocket access, and allows flexible bar aggregation.
Shared focus areas
Both platforms align on these research themes, so you can stay within one workflow when your use case involves them.
Where they differ
Estimize
Distinct strengths include:
- Crowdsourced EPS and revenue estimates on a non-GAAP basis, with more than 120,000 contributors and coverage of over 3,000 stocks and 80+ macro indicators each quarter.
- Earnings and economic calendars (including CPI and PPI) with the ability for users to submit their own estimates.
- Premium subscription provides access to the complete Estimize dataset without the need to contribute, plus advanced screening tools and customizable alerts ($99/month).
- APIs and data delivery: a public REST API with some open endpoints, plus enterprise delivery via real-time API, daily FTP, or daily Excel files.
QuantRocket
Distinct strengths include:
- Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca.
- Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter.
- Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets.
- Deep IBKR integration enabling advanced order types such as algorithmic, parent-child, and bracket orders, as well as combos/spreads, margin 'what-if' checks, option greeks, and auction imbalance data.
Feature-by-feature breakdown
| Attribute | Estimize | QuantRocket |
|---|---|---|
Categories Which research workflows each platform targets | Shared: Screeners, Data APIs Unique: Alerts, Calendar, Analyst Forecasts, Inflation Rates | Shared: Screeners, Data APIs Unique: Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, Broker Connectors |
Asset types Supported asset classes and universes | Stocks | Stocks, ETFs, Futures, Currencies, Options |
Experience levels Who each product is built for | Beginner, Intermediate, Advanced | Beginner, Intermediate, Advanced |
Platforms Where you can access the product | Web, API | Web, API |
Pricing High-level pricing models | Free, Subscription | Free, Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Not yet | Not yet |
Editor pick Featured inside curated shortlists | Standard listing | Standard listing |
Frequently Asked Questions
Which workflows do Estimize and QuantRocket both support?
Both platforms cover Screeners, and Data APIs workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do Estimize and QuantRocket require subscriptions?
Both Estimize and QuantRocket keep freemium access with optional paid upgrades, so you can trial each platform before committing.
How can you access Estimize and QuantRocket?
Both Estimize and QuantRocket 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?
Estimize differentiates itself with Crowdsourced EPS and revenue estimates on a non-GAAP basis, with more than 120,000 contributors and coverage of over 3,000 stocks and 80+ macro indicators each quarter., Earnings and economic calendars (including CPI and PPI) with the ability for users to submit their own estimates., and Premium subscription provides access to the complete Estimize dataset without the need to contribute, plus advanced screening tools and customizable alerts ($99/month)., whereas QuantRocket stands out for Includes survivorship-bias-free US minute-bar data (from 2007 onward) for Zipline backtests and live trading, with optional real-time feeds from brokers like IBKR and Alpaca., Supports point-in-time screening and ranking pipelines, and integrates with Alphalens and Pyfolio for in-notebook analysis inside Jupyter., and Global coverage through Interactive Brokers’ historical and real-time data across 60+ exchanges, plus optional feeds like EDI global EOD, Sharadar fundamentals, and Brain sentiment datasets..
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.