About
Portfolio123 is a rules-based equity research platform for investors who want institutional-style screening, ranking, and backtesting without writing code or hiring a quant team. You start with an investment idea — for example, the best combination of growth and valuation inside a defined universe — then build a multi-factor ranking system, stress-test it on historical data, and simulate portfolio rules before putting real capital behind the model.
The platform emphasizes point-in-time data and up to roughly 20 years of backtesting history across U.S., Canada, and Europe for higher tiers, plus AI/machine-learning tools for training predictors and ranking systems. Strategy simulation covers universe selection, ranking, rebalance method, buy/sell rules, and position sizing so you can see how a ruleset behaves through different regimes — not just how a single screen looks today.
There is also a free Manage layer for brokerage connectivity and portfolio tracking, community/expert models, consulting options, and API/DataMiner paths for heavier users. The product’s reputation among systematic retail investors rests on depth: it can feel dated in UI, but the research engine is the reason people stay.
Key features
- Advanced screener: custom universes, hundreds of metrics, and pre-built screens to jump-start research.
- Multi-factor ranking systems: weight factors and rank stocks within a universe or GICS slice.
- Strategy simulation: money management, rebalance rules, and buy/sell logic with historical testing.
- Long history: up to ~20 years of U.S./Canada/Europe data on Pro-level research tools.
- AI & ML tools: train predictors and machine-learning-powered ranking approaches.
- Fundamental charts & live strategy tracking: visualize factors, then launch live strategies with alerts.
Validate robustness (out-of-sample windows, different universes) before you treat a backtest as tradable. Curve-fit models look perfect until the next regime shift.
Plans/pricing
Portfolio123 uses a freemium structure. Commonly referenced retail tiers include:
- Free / Manage: broker connectivity, fundamental charting, and consolidated brokerage views with research limits.
- Screener: about $25/month — full financial database, 460+ screening metrics, ~5 years of backtest data, stock & ETF screening.
- Pro: about $83/month — ~20 years of history, multi-factor ranking, rolling screens, position sizing, strategy API, and AI factor tools.
Annual billing is typically discounted versus monthly. New users can often start a 21-day trial for $19 with Pro-style features and ~10 years of history (API/DataMiner usually excluded; confirm on Portfolio123’s get-started page). SaveOnTrading offers 25% off via our partner link — confirm which plan and billing term the partner discount applies to at checkout.
Who it's for
Systematic investors, factor traders, and portfolio managers who want repeatable rules and tested history. Advanced retail investors who have outgrown simple screeners. Not a day-trading scanner or charting-first platform for discretionary tape readers.
Limitations
- Steep learning curve — ranking systems and simulations take time to use well.
- Backtests are not live P&L; slippage, capacity, and your own overrides still matter.
- UI is research-heavy and can feel less modern than consumer charting apps.
- API/DataMiner and some professional features sit on higher or separate licensing.
- Published third-party plan prices can lag vendor changes — verify on Portfolio123 before paying.
How the SaveOnTrading offer works
Save 25% on Portfolio123 via our partner link. Many users start with the low-cost trial to learn the ranking/simulation workflow, then redeem partner pricing when they commit to Screener or Pro.
/ FAQ
Common questions about Portfolio123
6 questions
