Portfolio123 alternatives

3 tools to consider instead of Portfolio123, shown against it.

Portfolio123 QuantConnect AmiBroker vectorbt
Vendor Portfolio123 QuantConnect Corporation AmiBroker.com Open-source community
Pricing model Subscription Free tier + paid plans Subscription Open source + paid options
Free tier No Yes No Yes
Deployment Cloud Cloud, Self-hosted Self-hosted Self-hosted
Open source No No No Yes (Apache-2.0)
Best for Systematic and quantamental investors who want to build and test factor-ranking strategies without coding a backtester. Quant researchers and small trading firms who want a hosted backtest-to-live pipeline without building infrastructure. Systematic traders who prefer a one-time desktop license over a recurring subscription. Quant researchers who need to sweep large parameter or asset grids faster than event-driven backtesters allow.
Pricing

30-day free trial of screener and backtesting, then a paid subscription; exact tier prices are not published and require registering on the site.

Pricing has not been verified yet — see the vendor's site.

Free plan with unlimited backtesting plus four paid tiers (Researcher, Team, Trading Firm, Institution) that add compute nodes and enterprise features; the pricing page requires checkout configuration to show dollar amounts.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

One-time perpetual license by edition, including 24 months of free upgrades; separate upgrade pricing for existing owners.

Standard Edition $299
Professional Edition $379
Ultimate Pack Pro $499

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Free, open-source Python library; a separate paid vectorbt PRO product exists but is not covered here.

Pricing has not been verified yet — see the vendor's site.

Features
  • Custom fundamental/technical ranking systems
  • Rules-based stock screening
  • Historical portfolio backtesting and simulation
  • Factor research and optimization tools
  • Paper and semi-automated live portfolio tracking
  • Point-in-time fundamental and estimate data
  • Cloud research notebooks (Python/C#)
  • Historical data: equities, forex, futures, options, crypto
  • Unlimited backtesting on the free tier
  • One-click live deployment to supported brokerages
  • Team collaboration and project permissions (paid tiers)
  • Open-source LEAN engine for self-hosting
  • AI-assisted strategy scheduling and automation (paid tiers)
  • AFL formula language for indicators, scans and systems
  • Portfolio-level backtesting with position sizing
  • Walk-forward optimization
  • Real-time quote monitoring window
  • Third-party data feed connections
  • Exploration and scanning across large symbol universes
  • Vectorized backtesting for fast parameter sweeps
  • Multi-asset and multi-parameter portfolio simulation
  • Built-in performance and risk metrics
  • Interactive Plotly-based visualizations
  • Integration with TA-Lib and other indicator libraries
  • Numba-accelerated computation

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