VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Monday, October 13, 2025

Head-to-head

DeepVest (formerly Benjamin AI) vs PortfoliosLab comparison

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

Quick takeaways

DeepVest (formerly Benjamin AI) adds News, Regulatory Filings Monitoring, Data Visualizations, and Scenario & Stress Tests coverage that PortfoliosLab skips.

PortfoliosLab includes ETF Screeners, Watchlist, Stock Comparison, ETF Comparison, Factor Exposure, and APIs & SDKs categories that DeepVest (formerly Benjamin AI) omits.

DeepVest (formerly Benjamin AI) highlights: Multi‑asset analysis across equities, ETFs, crypto, FX and commodities., Strategy backtesting plus event backtesting around specific announcements., and Portfolio optimization (mean‑variance, risk parity, hierarchical) and risk metrics (drawdown, beta, correlation)..

PortfoliosLab is known for: 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..

PortfoliosLab keeps a free entry point that DeepVest (formerly Benjamin AI) lacks.

DeepVest (formerly Benjamin AI) logo

DeepVest (formerly Benjamin AI)

deepvest.ai

AI‑powered investment assistant with agent orchestration. Pro focuses on multi‑asset research, strategy/event backtesting, portfolio optimization & risk analysis, factor/ETF studies, macro relationships, SEC filing analysis, and real‑time news/data search. Premium adds compliance traceability and large historical download quotas; Enterprise offers custom data sources, function tool‑calling, and integrations.

Platforms

Web

Pricing

Subscription

Quick highlights

  • Multi‑asset analysis across equities, ETFs, crypto, FX and commodities.
  • Strategy backtesting plus event backtesting around specific announcements.
  • Portfolio optimization (mean‑variance, risk parity, hierarchical) and risk metrics (drawdown, beta, correlation).
  • Advanced stock screening and financial statement breakdowns.
  • Macro analysis (cross‑asset/indicator relationships) and scenario analysis (e.g., rate shocks).

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PortfoliosLab logo

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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Overlap

Shared focus areas

7 overlaps

Mutual strengths include Financials, Screeners, and Quant plus 4 more areas.

Where they differ

DeepVest (formerly Benjamin AI)

Distinct strengths include:

  • Multi‑asset analysis across equities, ETFs, crypto, FX and commodities.
  • Strategy backtesting plus event backtesting around specific announcements.
  • Portfolio optimization (mean‑variance, risk parity, hierarchical) and risk metrics (drawdown, beta, correlation).
  • Advanced stock screening and financial statement breakdowns.

PortfoliosLab

Distinct strengths include:

  • 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.

Feature-by-feature breakdown

AttributeDeepVest (formerly Benjamin AI)PortfoliosLab
Categories

Which research workflows each platform targets

Shared: Financials, Screeners, Quant, Risk Metrics (VaR/ES/Drawdown), Backtesting, Portfolio, Correlation

Unique: News, Regulatory Filings Monitoring, Data Visualizations, Scenario & Stress Tests

Shared: Financials, Screeners, Quant, Risk Metrics (VaR/ES/Drawdown), Backtesting, Portfolio, Correlation

Unique: ETF Screeners, Watchlist, Stock Comparison, ETF Comparison, Factor Exposure, APIs & SDKs

Asset types

Supported asset classes and universes

Stocks, ETFs, Commodities, Currencies, Cryptos

Stocks, ETFs, Mutual Funds, Cryptos

Experience levels

Who each product is built for

Beginner, Intermediate, Advanced

Beginner, Intermediate, Advanced

Platforms

Where you can access the product

Web

Web

Pricing

High-level pricing models

Subscription

Free, Subscription

Key features

Core capabilities called out by each vendor

Unique

  • Multi‑asset analysis across equities, ETFs, crypto, FX and commodities.
  • Strategy backtesting plus event backtesting around specific announcements.
  • Portfolio optimization (mean‑variance, risk parity, hierarchical) and risk metrics (drawdown, beta, correlation).
  • Advanced stock screening and financial statement breakdowns.
  • Macro analysis (cross‑asset/indicator relationships) and scenario analysis (e.g., rate shocks).
  • SEC filings intelligence (search & analysis) and real‑time market news aggregation.

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.
Tested

Verified by hands-on testing inside Find My Moat

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Editor pick

Featured inside curated shortlists

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Frequently Asked Questions

Which workflows do DeepVest (formerly Benjamin AI) and PortfoliosLab both support?

Both platforms cover Financials, Screeners, Quant, Risk Metrics (VaR/ES/Drawdown), Backtesting, Portfolio, and Correlation workflows, so you can research those use cases in either tool before digging into the feature differences below.

Which tool offers a free plan?

PortfoliosLab offers a free entry point, while DeepVest (formerly Benjamin AI) requires a paid subscription. Review the pricing table to see how the paid tiers compare.

How can you access DeepVest (formerly Benjamin AI) and PortfoliosLab?

Both DeepVest (formerly Benjamin AI) and PortfoliosLab 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?

DeepVest (formerly Benjamin AI) differentiates itself with Multi‑asset analysis across equities, ETFs, crypto, FX and commodities., Strategy backtesting plus event backtesting around specific announcements., and Portfolio optimization (mean‑variance, risk parity, hierarchical) and risk metrics (drawdown, beta, correlation)., whereas PortfoliosLab stands out for 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..

Curation & Accuracy

This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).

Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.