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Friday, December 26, 2025

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Tool Comparison

MesoSim vs QuantRocket comparison

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

Quick takeaways

MesoSim adds Options & Derivatives, Data Visualizations, APIs & SDKs, AI, and AI Chat coverage that QuantRocket skips.

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

In depth comparison

MesoSim

mesosim.io

Options strategy backtesting SaaS with low-code strategy definitions, observability (events log), risk graphs/Greeks, margin reporting, an options valuation model/solver, and an implied-volatility surface viewer. Plan gating: Free includes 25 runs; Standard ($1000/yr) unlocks unlimited SPX + BTCUSD/ETHUSD options backtests plus sharing/exports and 1 MesoLive paper-trading account; Advanced ($1250/yr) adds RUT/VIX/GLD, margin models, vol surface/HD risk graphs, and hourly risk traces (plus up to 2 paper accounts). Live trade execution is a paid MesoLive add-on; API access is FundPro-only.

Platforms

WebAPI

Pricing

FreeSubscription

Quick highlights

Advanced options strategy backtesting service built around a low-code workflow.
Strategy Definition schema supports multi-leg structures plus entry/exit/adjustments and simulator controls (fill model, commissions/slippage, margin, position monitoring).
TradFi instruments documented for simulation: SPX (data from 2010), RUT/VIX (data from 2012), and GLD (data from 2012), with index vs equity option modeling notes.
Published data availability + vendors and resolution (5-minute): SPX/RUT/VIX/GLD sourced from Cboe Global Markets; BTCUSD/ETHUSD (and historical SOLUSD) sourced from Deribit.
Position Monitor provides 2D/3D risk graphs, PnL, and Greeks, with trace collection intervals (Off/Daily/Hourly).

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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

MesoSim

Distinct strengths include:

Options & Derivatives Data Visualizations APIs & SDKs AI AI Chat

Advanced options strategy backtesting service built around a low-code workflow.
Strategy Definition schema supports multi-leg structures plus entry/exit/adjustments and simulator controls (fill model, commissions/slippage, margin, position monitoring).
TradFi instruments documented for simulation: SPX (data from 2010), RUT/VIX (data from 2012), and GLD (data from 2012), with index vs equity option modeling notes.
Published data availability + vendors and resolution (5-minute): SPX/RUT/VIX/GLD sourced from Cboe Global Markets; BTCUSD/ETHUSD (and historical SOLUSD) sourced from Deribit.

QuantRocket

Distinct strengths include:

Screeners Quant Auto-Trading & Bots Advanced Order Types 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	MesoSim	QuantRocket
Categories Which research workflows each platform targets	Shared: Backtesting, Paper Trading Unique: Options & Derivatives, Data Visualizations, APIs & SDKs, AI, AI Chat	Shared: Backtesting, Paper Trading Unique: Screeners, Quant, Auto-Trading & Bots, Advanced Order Types, Data APIs, Broker Connectors
Asset types Supported asset classes and universes	Options, Cryptos	Stocks, ETFs, Futures, Currencies, Options
Experience levels Who each product is built for	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 Advanced options strategy backtesting service built around a low-code workflow. Strategy Definition schema supports multi-leg structures plus entry/exit/adjustments and simulator controls (fill model, commissions/slippage, margin, position monitoring). TradFi instruments documented for simulation: SPX (data from 2010), RUT/VIX (data from 2012), and GLD (data from 2012), with index vs equity option modeling notes. Published data availability + vendors and resolution (5-minute): SPX/RUT/VIX/GLD sourced from Cboe Global Markets; BTCUSD/ETHUSD (and historical SOLUSD) sourced from Deribit. Position Monitor provides 2D/3D risk graphs, PnL, and Greeks, with trace collection intervals (Off/Daily/Hourly). Volatility Surface viewer to explore implied-vol surfaces with overlays (e.g., open interest, volume, bid-ask spread, Greeks) and playback at 5-minute resolution (non-crypto in current version).	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 MesoSim and QuantRocket both support?

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

Do MesoSim and QuantRocket require subscriptions?

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

How can you access MesoSim and QuantRocket?

Both MesoSim 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?

MesoSim differentiates itself with Advanced options strategy backtesting service built around a low-code workflow., Strategy Definition schema supports multi-leg structures plus entry/exit/adjustments and simulator controls (fill model, commissions/slippage, margin, position monitoring)., and TradFi instruments documented for simulation: SPX (data from 2010), RUT/VIX (data from 2012), and GLD (data from 2012), with index vs equity option modeling notes., 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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