VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, October 5, 2025

View QuantRocket View YCharts Back to Home

Head-to-head

QuantRocket vs YCharts comparison

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

Quick takeaways

QuantRocket adds Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, and Paper Trading coverage that YCharts skips.

YCharts includes Stock Comparison, ETF Comparison, Data Visualizations, Portfolio, Watchlist, Correlation, Risk Metrics (VaR/ES/Drawdown), Performance Attribution, Scenario & Stress Tests, News, Alerts, Financials, Scores, ETF Overview, ETF Performance, ETF Holdings, ETF Fundamentals, ETF Overlap, Analyst Forecasts, Short Interest, Insider Data, Inflation Rates, Unemployment Rates, GDP, Interest Rates, Yield Curves, APIs & SDKs, and Sheets / Excel Add-ins categories that QuantRocket omits.

QuantRocket 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., 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..

YCharts is known for: Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks., Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns., and Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators..

QuantRocket has a free tier, while YCharts requires a paid plan.

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

Web

API

Pricing

Free

Subscription

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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YCharts

ycharts.com

Hands-on review

Advisor-focused research, portfolio analytics, and proposal platform. Lower tiers are more view-only, while add-ons unlock the Excel add-in and broader fund/SMA datasets. Intraday quotes are available on a short delay (about 90–120 seconds).

Platforms

Web

API

Pricing

Subscription

Quick highlights

Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks.
Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns.
Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators.
Monitoring built in: dashboards, watchlists, alerts, and a live news feed (MT Newswires). Intraday quotes update on a short delay (~90–120 seconds).
Excel & API: an add-on Excel add-in with dynamic formulas/templates, a REST API with API keys and official Python/R clients, and exports to CSV/Excel/PDF/images.

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Overlap

Shared focus areas

3 overlaps

Mutual strengths include Screeners, Data APIs, and Broker Connectors.

Where they differ

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.

YCharts

Distinct strengths include:

Risk Metrics (VaR/ES/Drawdown)

Performance Attribution

Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks.
Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns.
Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators.
Monitoring built in: dashboards, watchlists, alerts, and a live news feed (MT Newswires). Intraday quotes update on a short delay (~90–120 seconds).

Feature-by-feature breakdown

Attribute	QuantRocket	YCharts
Categories Which research workflows each platform targets	Shared: Screeners, Data APIs, Broker Connectors Unique: Quant, Backtesting, Auto-Trading & Bots, Advanced Order Types, Paper Trading	Shared: Screeners, Data APIs, Broker Connectors Unique: Stock Comparison, ETF Comparison, Data Visualizations, Portfolio, Watchlist, Correlation, Risk Metrics (VaR/ES/Drawdown), Performance Attribution, Scenario & Stress Tests, News, Alerts, Financials, Scores, ETF Overview, ETF Performance, ETF Holdings, ETF Fundamentals, ETF Overlap, Analyst Forecasts, Short Interest, Insider Data, Inflation Rates, Unemployment Rates, GDP, Interest Rates, Yield Curves, APIs & SDKs, Sheets / Excel Add-ins
Asset types Supported asset classes and universes	Stocks, ETFs, Futures, Currencies, Options	Stocks, ETFs, Mutual Funds, Closed-End Funds
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	Subscription
Key features Core capabilities called out by each vendor	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.	Unique Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks. Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns. Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators. Monitoring built in: dashboards, watchlists, alerts, and a live news feed (MT Newswires). Intraday quotes update on a short delay (~90–120 seconds). Excel & API: an add-on Excel add-in with dynamic formulas/templates, a REST API with API keys and official Python/R clients, and exports to CSV/Excel/PDF/images. Advisor ecosystem integrations including Addepar, Orion, Redtail, Schwab Advisor Center, iRebal, Pershing, LPL ClientWorks, Black Diamond, and VRGL.
Tested Verified by hands-on testing inside Find My Moat	Not yet	Yes
Editor pick Featured inside curated shortlists	Standard listing	Standard listing

Frequently Asked Questions

Which workflows do QuantRocket and YCharts both support?

Both platforms cover Screeners, Data APIs, and Broker Connectors 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 YCharts requires a paid subscription. Review the pricing table to see how the paid tiers compare.

How can you access QuantRocket and YCharts?

Both QuantRocket and YCharts 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?

QuantRocket differentiates itself with 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., whereas YCharts stands out for Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks., Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns., and Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators..

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