VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Tuesday, November 11, 2025

Tool Comparison

Qfinr vs QuantRocket comparison

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

Quick takeaways

Qfinr adds Portfolio, Watchlist, Scenario & Stress Tests, ETF Screeners, and Stock Ideas coverage that QuantRocket skips.

QuantRocket includes Auto-Trading & Bots, Advanced Order Types, Paper Trading, Data APIs, and Broker Connectors categories that Qfinr omits.

QuantRocket keeps a free entry point that Qfinr lacks.

Qfinr ships a mobile app. QuantRocket is web/desktop only.

In depth comparison

Qfinr

qfinr.com

Subscription-based portfolio analytics platform with support for multiple asset classes. Portfolios can be imported via CSV templates or broker/custodian statements. No direct broker sync is advertised. A developer API is linked from the site, though not publicly documented. Pricing is subscription-only and not published on the site.

Platforms

WebMobile

Pricing

Subscription

Quick highlights

Multi-country, multi-asset portfolio tracking and analysis covering stocks, bonds, ETFs, mutual funds, commodities, and deposits.
Portfolio import via manual entry, Excel/CSV templates, or statements from Indian custodians and brokers, including CAMS, KFintech, NSDL, CDSL, Zerodha, HDFC Securities, ICICI Securities, and Kotak Securities.
Screeners for stocks, mutual funds, and ETFs, along with a “Discover Ideas” module for new opportunities.
Portfolio risk and stress testing tools with daily return benchmarking and what-if analysis.
Backtested stock ideas with the ability to generate customized strategies and view results.

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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

Qfinr

Distinct strengths include:

Portfolio Watchlist Scenario & Stress Tests ETF Screeners Stock Ideas

Multi-country, multi-asset portfolio tracking and analysis covering stocks, bonds, ETFs, mutual funds, commodities, and deposits.
Portfolio import via manual entry, Excel/CSV templates, or statements from Indian custodians and brokers, including CAMS, KFintech, NSDL, CDSL, Zerodha, HDFC Securities, ICICI Securities, and Kotak Securities.
Screeners for stocks, mutual funds, and ETFs, along with a “Discover Ideas” module for new opportunities.
Portfolio risk and stress testing tools with daily return benchmarking and what-if analysis.

QuantRocket

Distinct strengths include:

Auto-Trading & Bots Advanced Order Types Paper Trading Data APIs 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	Qfinr	QuantRocket
Categories Which research workflows each platform targets	Shared: Backtesting, Screeners, Quant Unique: Portfolio, Watchlist, Scenario & Stress Tests, ETF Screeners, Stock Ideas	Shared: Backtesting, Screeners, Quant Unique: Auto-Trading & Bots, Advanced Order Types, Paper Trading, Data APIs, Broker Connectors
Asset types Supported asset classes and universes	Stocks, ETFs, Mutual Funds, Bonds, Commodities, Other	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, Mobile	Web, API
Pricing High-level pricing models	Subscription	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Multi-country, multi-asset portfolio tracking and analysis covering stocks, bonds, ETFs, mutual funds, commodities, and deposits. Portfolio import via manual entry, Excel/CSV templates, or statements from Indian custodians and brokers, including CAMS, KFintech, NSDL, CDSL, Zerodha, HDFC Securities, ICICI Securities, and Kotak Securities. Screeners for stocks, mutual funds, and ETFs, along with a “Discover Ideas” module for new opportunities. Portfolio risk and stress testing tools with daily return benchmarking and what-if analysis. Backtested stock ideas with the ability to generate customized strategies and view results. Market and fundamentals data sourced from Refinitiv and exchanges; redistribution restricted per terms.	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 Qfinr and QuantRocket both support?

Both platforms cover Backtesting, Screeners, and Quant workflows, so you can research those use cases in either tool before digging into the feature differences below.

Which tool offers a free plan?

QuantRocket offers a free entry point, while Qfinr requires a paid subscription. Review the pricing table to see how the paid tiers compare.

Which tool has mobile access?

Qfinr ships a dedicated mobile experience, while QuantRocket focuses on web or desktop access.

What unique strengths set the two platforms apart?

Qfinr differentiates itself with Multi-country, multi-asset portfolio tracking and analysis covering stocks, bonds, ETFs, mutual funds, commodities, and deposits., Portfolio import via manual entry, Excel/CSV templates, or statements from Indian custodians and brokers, including CAMS, KFintech, NSDL, CDSL, Zerodha, HDFC Securities, ICICI Securities, and Kotak Securities., and Screeners for stocks, mutual funds, and ETFs, along with a “Discover Ideas” module for new opportunities., 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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