VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Sunday, October 5, 2025

View PortfoliosLab View QuantConnect Back to Home

Head-to-head

PortfoliosLab vs QuantConnect comparison

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

Quick takeaways

PortfoliosLab adds Screeners, ETF Screeners, Portfolio, Watchlist, Correlation, Stock Comparison, ETF Comparison, Risk Metrics (VaR/ES/Drawdown), Factor Exposure, and Financials coverage that QuantConnect skips.

QuantConnect includes Paper Trading, Auto-Trading & Bots, and Options & Derivatives categories that PortfoliosLab omits.

PortfoliosLab highlights: Portfolio analytics and backtesting with benchmarking, monthly returns, and risk-adjusted ratios such as Sharpe, Sortino, Omega, Calmar, and Martin., Optimization models include Mean–Variance (MVO), Risk Parity, and Hierarchical Risk Parity (HRP), with the ability to backtest from a chosen optimization date., and Risk analytics cover drawdowns, Value at Risk (VaR), Expected Shortfall (CVaR), and multiple volatility estimators..

QuantConnect is known for: Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers., Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud., and Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX..

PortfoliosLab

portfolioslab.com

Portfolio analytics platform with screeners, optimizers, and backtesting. The free tier includes 10 years of data and basic calculations. Plus extends coverage to 40+ years and 200 calculations per month, while Pro unlocks unlimited calculations, 500 holdings per portfolio, CSV import/export, and screener exports. Enterprise offers an API, data-feed integration, and white-labeling. Broker sync is not supported; CSV imports are recommended.

Platforms

Web

Pricing

Free

Subscription

Quick highlights

Portfolio analytics and backtesting with benchmarking, monthly returns, and risk-adjusted ratios such as Sharpe, Sortino, Omega, Calmar, and Martin.
Optimization models include Mean–Variance (MVO), Risk Parity, and Hierarchical Risk Parity (HRP), with the ability to backtest from a chosen optimization date.
Risk analytics cover drawdowns, Value at Risk (VaR), Expected Shortfall (CVaR), and multiple volatility estimators.
Comprehensive stock, ETF, and mutual fund screeners with sortable columns, filters, and risk-versus-return scatterplots. Screener results export is available on Pro.
Factor analysis tools for Alpha and Beta measurement.

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QuantConnect

quantconnect.com

QuantConnect runs on the open-source LEAN engine, giving quants and systematic traders a unified workflow from research to backtesting to live deployment. You can run everything locally or in the cloud. Historical data down to tick and second resolution is available on paid tiers, and live-trading notifications scale by plan (from a handful per hour to thousands). Some broker and data feeds—like Trading Technologies futures or premium vendors—are only unlocked at higher tiers.

Platforms

Web

Desktop

API

Pricing

Free

Subscription

Quick highlights

Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers.
Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud.
Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX.
Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors.
Generates detailed backtest reports you can download as PDFs and raw results exportable as CSV or JSON.

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Overlap

Shared focus areas

3 overlaps

Mutual strengths include Backtesting, Quant, and APIs & SDKs.

Where they differ

PortfoliosLab

Distinct strengths include:

Risk Metrics (VaR/ES/Drawdown)

Portfolio analytics and backtesting with benchmarking, monthly returns, and risk-adjusted ratios such as Sharpe, Sortino, Omega, Calmar, and Martin.
Optimization models include Mean–Variance (MVO), Risk Parity, and Hierarchical Risk Parity (HRP), with the ability to backtest from a chosen optimization date.
Risk analytics cover drawdowns, Value at Risk (VaR), Expected Shortfall (CVaR), and multiple volatility estimators.
Comprehensive stock, ETF, and mutual fund screeners with sortable columns, filters, and risk-versus-return scatterplots. Screener results export is available on Pro.

QuantConnect

Distinct strengths include:

Paper Trading

Auto-Trading & Bots

Options & Derivatives

Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers.
Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud.
Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX.
Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors.

Feature-by-feature breakdown

Attribute	PortfoliosLab	QuantConnect
Categories Which research workflows each platform targets	Shared: Backtesting, Quant, APIs & SDKs Unique: Screeners, ETF Screeners, Portfolio, Watchlist, Correlation, Stock Comparison, ETF Comparison, Risk Metrics (VaR/ES/Drawdown), Factor Exposure, Financials	Shared: Backtesting, Quant, APIs & SDKs Unique: Paper Trading, Auto-Trading & Bots, Options & Derivatives
Asset types Supported asset classes and universes	Stocks, ETFs, Mutual Funds, Cryptos	Stocks, ETFs, Options, Futures, Currencies, Cryptos
Experience levels Who each product is built for	Beginner, Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Web	Web, Desktop, API
Pricing High-level pricing models	Free, Subscription	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Portfolio analytics and backtesting with benchmarking, monthly returns, and risk-adjusted ratios such as Sharpe, Sortino, Omega, Calmar, and Martin. Optimization models include Mean–Variance (MVO), Risk Parity, and Hierarchical Risk Parity (HRP), with the ability to backtest from a chosen optimization date. Risk analytics cover drawdowns, Value at Risk (VaR), Expected Shortfall (CVaR), and multiple volatility estimators. Comprehensive stock, ETF, and mutual fund screeners with sortable columns, filters, and risk-versus-return scatterplots. Screener results export is available on Pro. Factor analysis tools for Alpha and Beta measurement. Support for both static and transactional portfolios with calendar- or threshold-based rebalancing options.	Unique Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers. Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud. Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX. Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors. Generates detailed backtest reports you can download as PDFs and raw results exportable as CSV or JSON. Cloud API and Lean CLI for managing projects, running backtests, deploying live strategies, and pulling reports programmatically.
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 PortfoliosLab and QuantConnect both support?

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

Do PortfoliosLab and QuantConnect require subscriptions?

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

How can you access PortfoliosLab and QuantConnect?

Both PortfoliosLab and QuantConnect 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?

PortfoliosLab differentiates itself with Portfolio analytics and backtesting with benchmarking, monthly returns, and risk-adjusted ratios such as Sharpe, Sortino, Omega, Calmar, and Martin., Optimization models include Mean–Variance (MVO), Risk Parity, and Hierarchical Risk Parity (HRP), with the ability to backtest from a chosen optimization date., and Risk analytics cover drawdowns, Value at Risk (VaR), Expected Shortfall (CVaR), and multiple volatility estimators., whereas QuantConnect stands out for Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers., Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud., and Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX..

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