VOL. XCIV, NO. 247

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Friday, December 12, 2025

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Tool Comparison

MarketInOut vs QuantRocket comparison

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

Quick takeaways

MarketInOut adds Watchlist, Portfolio, Correlation, Alerts, and APIs & SDKs coverage that QuantRocket skips.

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

In depth comparison

MarketInOut

marketinout.com

Screener and backtesting platform with one-time memberships (6-month, 1-year, or 2-year). A limited free tier is available, but some results and features are gated. Supports near real-time data for U.S. equities, TSX, Forex, and Crypto; other exchanges are delayed by 15 minutes. Intraday periods are available for IEX, Forex, and Crypto only; extended-hours data is not supported. API access for screener data can be requested separately. Discounts are offered for crypto payments.

Platforms

Web

Pricing

FreeOne-time

Quick highlights

Multi-market stock screener covering 35+ exchanges, with both technical and fundamental criteria. Filters can be applied by exchange, sector, industry, index, or watchlist. Timeframes include hourly, daily, weekly, and monthly, with per-stock Excel exports.
Intraday timeframes (5m/15m/30m/1h/4h) are available for IEX, Forex, and Crypto. Extended-hours trading is not supported.
Formula Screener allows custom queries with AND/OR/NOT logic, multi-timeframe conditions, historical/range screening, index and ticker references, and regime filters.
Email or Telegram alerts for screener matches, with scheduled delivery options. SMS delivery is not guaranteed.
Strategy Backtester supports entry/exit rules, stop-loss/take-profit, and position maintenance. Data is survivorship-bias-free (includes delisted stocks).

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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

MarketInOut

Distinct strengths include:

Watchlist Portfolio Correlation Alerts APIs & SDKs

Multi-market stock screener covering 35+ exchanges, with both technical and fundamental criteria. Filters can be applied by exchange, sector, industry, index, or watchlist. Timeframes include hourly, daily, weekly, and monthly, with per-stock Excel exports.
Intraday timeframes (5m/15m/30m/1h/4h) are available for IEX, Forex, and Crypto. Extended-hours trading is not supported.
Formula Screener allows custom queries with AND/OR/NOT logic, multi-timeframe conditions, historical/range screening, index and ticker references, and regime filters.
Email or Telegram alerts for screener matches, with scheduled delivery options. SMS delivery is not guaranteed.

QuantRocket

Distinct strengths include:

Quant 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	MarketInOut	QuantRocket
Categories Which research workflows each platform targets	Shared: Screeners, Backtesting Unique: Watchlist, Portfolio, Correlation, Alerts, APIs & SDKs	Shared: Screeners, Backtesting Unique: Quant, Auto-Trading & Bots, Advanced Order Types, Paper Trading, Data APIs, Broker Connectors
Asset types Supported asset classes and universes	Stocks, ETFs, Currencies, Cryptos	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	Web, API
Pricing High-level pricing models	Free, One-time	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Multi-market stock screener covering 35+ exchanges, with both technical and fundamental criteria. Filters can be applied by exchange, sector, industry, index, or watchlist. Timeframes include hourly, daily, weekly, and monthly, with per-stock Excel exports. Intraday timeframes (5m/15m/30m/1h/4h) are available for IEX, Forex, and Crypto. Extended-hours trading is not supported. Formula Screener allows custom queries with AND/OR/NOT logic, multi-timeframe conditions, historical/range screening, index and ticker references, and regime filters. Email or Telegram alerts for screener matches, with scheduled delivery options. SMS delivery is not guaranteed. Strategy Backtester supports entry/exit rules, stop-loss/take-profit, and position maintenance. Data is survivorship-bias-free (includes delisted stocks). Portfolio tracker with unlimited portfolios, intra-day last prices, daily P/L, and simple paper-trading views. Positions can be added directly from screener results.	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 MarketInOut and QuantRocket both support?

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

Do MarketInOut and QuantRocket require subscriptions?

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

How can you access MarketInOut and QuantRocket?

Both MarketInOut 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?

MarketInOut differentiates itself with Multi-market stock screener covering 35+ exchanges, with both technical and fundamental criteria. Filters can be applied by exchange, sector, industry, index, or watchlist. Timeframes include hourly, daily, weekly, and monthly, with per-stock Excel exports., Intraday timeframes (5m/15m/30m/1h/4h) are available for IEX, Forex, and Crypto. Extended-hours trading is not supported., and Formula Screener allows custom queries with AND/OR/NOT logic, multi-timeframe conditions, historical/range screening, index and ticker references, and regime filters., 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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