VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, December 7, 2025

Tool Comparison

Glassnode vs QuantRocket comparison

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

Quick takeaways

Glassnode adds On-chain Analytics, DEX / DeFi, Crypto Derivatives, Data Visualizations, and Alerts coverage that QuantRocket skips.

QuantRocket includes Screeners, Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, and Broker Connectors categories that Glassnode omits.

In depth comparison

Glassnode

glassnode.com

On-chain market intelligence platform covering BTC, ETH and multi-asset crypto with derivatives, spot/ETF, and DeFi datasets. Studio offers charts, Workbench (custom formulas), dashboards and alerts (email/Telegram). A production REST API is available as a paid add-on to the Professional plan, with plan-based credits and rate limiting. Metric resolutions include 10-minute, 1-hour, daily, weekly and monthly; new datapoints typically publish ~10 minutes after each aggregation window ends. Entity-adjusted and point-in-time metric variants are available for backtesting integrity.

Platforms

WebAPI

Pricing

FreeSubscription

Quick highlights

Studio: charts library, dashboards, and data downloads for on-chain + market metrics.
Workbench: build custom charts by combining multiple metrics and applying formulas.
Alerts: set metric thresholds and receive notifications via email or Telegram.
Derivatives & market data: funding rates, open interest, options skews, spot/ETF flows.
REST API with API-key auth and plan-based credits; bulk endpoints available.

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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.

Platforms

WebAPI

Pricing

FreeSubscription

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.

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Where they differ

Glassnode

Distinct strengths include:

On-chain Analytics DEX / DeFi Crypto Derivatives Data Visualizations Alerts

Studio: charts library, dashboards, and data downloads for on-chain + market metrics.
Workbench: build custom charts by combining multiple metrics and applying formulas.
Alerts: set metric thresholds and receive notifications via email or Telegram.
Derivatives & market data: funding rates, open interest, options skews, spot/ETF flows.

QuantRocket

Distinct strengths include:

Screeners Quant Backtesting Auto-Trading & Bots Advanced Order Types Paper Trading Broker Connectors

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	Glassnode	QuantRocket
Categories Which research workflows each platform targets	Shared: Data APIs Unique: On-chain Analytics, DEX / DeFi, Crypto Derivatives, Data Visualizations, Alerts	Shared: Data APIs Unique: Screeners, Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading, Broker Connectors
Asset types Supported asset classes and universes	Cryptos, Futures, Options	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 Studio: charts library, dashboards, and data downloads for on-chain + market metrics. Workbench: build custom charts by combining multiple metrics and applying formulas. Alerts: set metric thresholds and receive notifications via email or Telegram. Derivatives & market data: funding rates, open interest, options skews, spot/ETF flows. REST API with API-key auth and plan-based credits; bulk endpoints available. DeFi protocol coverage (e.g., Uniswap, Lido, Maker, Compound) via API endpoints.	Unique 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. REST API ('Houston') with Python client and CLI tools; endpoints return CSV or JSON for easy downstream use.
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 Glassnode and QuantRocket both support?

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

Do Glassnode and QuantRocket require subscriptions?

Both Glassnode and QuantRocket keep freemium access with optional paid upgrades, so you can trial each platform before committing.

How can you access Glassnode and QuantRocket?

Both Glassnode 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?

Glassnode differentiates itself with Studio: charts library, dashboards, and data downloads for on-chain + market metrics., Workbench: build custom charts by combining multiple metrics and applying formulas., and Alerts: set metric thresholds and receive notifications via email or Telegram., 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..

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