DeepVest (formerly Benjamin AI) adds Financials, News, Regulatory Filings Monitoring, Risk Metrics (VaR/ES/Drawdown), and Scenario & Stress Tests coverage that Portfolio123 skips.
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Monday, October 13, 2025
Head-to-head
DeepVest (formerly Benjamin AI) vs Portfolio123 comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
Portfolio123 includes Calendar, APIs & SDKs, Data APIs, and Broker Connectors 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)..
Portfolio123 is known for: Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry., Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data., and Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging..
Portfolio123 keeps a free entry point that DeepVest (formerly Benjamin AI) lacks.
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.
Categories
Platforms
Pricing
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).
Community votes (overall)
Portfolio123
portfolio123.com
Quant research and live-deployment platform with point-in-time fundamentals and estimates. Users can screen, backtest, and simulate strategies, then deploy them live with broker integrations. Supports API access and a no-code desktop DataMiner. FactSet or S&P Compustat licenses are required for full historical fundamentals.
Categories
Platforms
Pricing
Quick highlights
- Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry.
- Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data.
- Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging.
- ‘Books’ feature to combine multiple strategies and view correlations between them.
- Point-in-time fundamentals, estimates, and corporate actions with dividends handled on ex/pay dates (no survivorship bias or look-ahead).
Community votes (overall)
Shared focus areas
6 overlapsMutual strengths include Screeners, Quant, and Data Visualizations plus 3 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.
Portfolio123
Distinct strengths include:
- Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry.
- Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data.
- Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging.
- ‘Books’ feature to combine multiple strategies and view correlations between them.
Feature-by-feature breakdown
Attribute | DeepVest (formerly Benjamin AI) | Portfolio123 |
---|---|---|
Categories Which research workflows each platform targets | Shared: Screeners, Quant, Data Visualizations, Backtesting, Portfolio, Correlation Unique: Financials, News, Regulatory Filings Monitoring, Risk Metrics (VaR/ES/Drawdown), Scenario & Stress Tests | Shared: Screeners, Quant, Data Visualizations, Backtesting, Portfolio, Correlation Unique: Calendar, APIs & SDKs, Data APIs, Broker Connectors |
Asset types Supported asset classes and universes | Stocks, ETFs, Commodities, Currencies, Cryptos | Stocks, ETFs |
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 | Subscription | Free, Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Not yet | Yes |
Editor pick Featured inside curated shortlists | Standard listing | Highlighted |
Frequently Asked Questions
Which workflows do DeepVest (formerly Benjamin AI) and Portfolio123 both support?
Both platforms cover Screeners, Quant, Data Visualizations, 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?
Portfolio123 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 Portfolio123?
Both DeepVest (formerly Benjamin AI) and Portfolio123 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 Portfolio123 stands out for Build custom multi-factor ranking systems and rank stocks by universe, sector, or industry., Spreadsheet-style screening with formulas (including Piotroski F-Score) across current and historical data., and Backtesting with realistic assumptions for slippage, commissions, buy/sell rules, position sizing, and hedging..
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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.