Portfolio123 Review, Pricing, and Features

Pricing

Key features

• Web‑based quant research terminal for building multifactor ranking systems, stock/ETF screens, and complete rules‑based strategies with no programming, powered by point‑in‑time FactSet data and marketed as free of survivorship and look‑ahead bias.
• Supports realistic simulations and backtests over roughly 20 years of history for US, Canadian, and European equities, with custom universes, separate buy/sell rules, position sizing, hedging, and “Book of Strategies” to combine and analyze correlated systems.
• Stock & ETF coverage uses fundamentals, estimates, corporate actions, plus industry/sector classification, with “over 15,000 current US, Canadian, and European stocks” and many more historical issues.
• AI Factor lets users train machine‑learning predictors for expected returns and plug the predictions into ranking systems, strategy simulations and asset-level analysis, with no-code model evaluation, blocked K-fold cross validation, lift charts and model/portfolio statistics.
• Homepage currently advertises 30 days of free screener and backtesting access with no credit card required, in addition to the free Manage module.
• Manage module (free) provides portfolio/account tracking with real‑time quotes, multi‑account strategy tracking, stock timelines, integrated research views, and re‑imagined watchlists that chart watchlist performance vs benchmarks.
• Broker connectivity enables sending orders from Portfolio123 to linked brokerage accounts (e.g., Interactive Brokers, Tradier), syncing holdings and fills automatically while keeping assets at your existing broker.
• Designer Models and Portfolio123 Models offer followable systematic strategies from staff and community, backed by documentation and a Ready‑to‑Go model marketplace intended for live or paper trading.
• DataMiner runs on Windows, Mac or Linux, is built on top of the API, and lets users run batches of human-readable operations that output plain text for import into other systems or reports.
• REST API and DataMiner expose endpoints for screening, ranking, point‑in‑time factor data, universes, prices, strategies, stock factors, and custom data series, all governed by an API‑credit system with monthly caps per membership.
• Python SDK (p123api) wraps the REST API, handling authentication, retries, and low‑level HTTP, and supports returning results either as JSON or Pandas DataFrames for quantitative research in Jupyter/Colab and local IDEs.
• Data mining pages describe downloading ranks, normalized values and technical factors including future performance; downloading raw values requires a separate data license.
• Extensive factor library and language include hundreds of fundamental, technical, sentiment, and macro indicators (GDP, interest rates, unemployment, consumer sentiment, housing, etc.), documented in a public Factor Reference with links to underlying FRED series.
• About page says Portfolio123 has refined its research tools since 2004, has been used in MBA courses at Stanford, MIT and Harvard, and users have run over 50M simulations.
• Pricing structure combines free access/Manage, a paid 21-day Research trial, annual-billed retail research tiers, and separate professional/API plans and regional add-ons for institutions and universities. Public pages reviewed in June 2026 conflict on the trial price ($9 on the quant-research page, $19 on get-started/blog pages).

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