VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Monday, October 13, 2025

View AmiBroker View Portfolio123 Back to Home

Head-to-head

AmiBroker vs Portfolio123 comparison

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

Quick takeaways

AmiBroker adds Monte Carlo, Risk Metrics (VaR/ES/Drawdown), and Auto-Trading & Bots coverage that Portfolio123 skips.

Portfolio123 includes Portfolio, Calendar, Data APIs, and Broker Connectors categories that AmiBroker omits.

AmiBroker highlights: Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore., Walk‑forward testing integrated with optimization; in/out‑of‑sample stats., and Monte Carlo simulation (custom metrics can drive optimization/WF objective)..

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 AmiBroker lacks.

AmiBroker

amibroker.com

Windows desktop platform for technical/system research with a fast AFL scripting language, portfolio‑level backtester, walk‑forward testing, Monte Carlo, and extensive optimization. Real‑time capability and instrument coverage depend on the data plug‑ins you use (e.g., IQFeed, eSignal, Interactive Brokers, Norgate Data). Auto‑trading to IB is available via the official interface. Licenses are perpetual with 24 months of updates.

Platforms

Desktop

Pricing

One-time

Quick highlights

Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore.
Walk‑forward testing integrated with optimization; in/out‑of‑sample stats.
Monte Carlo simulation (custom metrics can drive optimization/WF objective).
Very fast multi‑threaded optimization with 3D optimization surface visualization.
Exploration/Scanner to build custom screeners and reports via AFL.

Community votes (overall)

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Portfolio123

portfolio123.com

Editor’s pick Hands-on review

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.

Platforms

Web

Desktop

API

Pricing

Free

Subscription

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).

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Overlap

Shared focus areas

6 overlaps

Mutual strengths include Quant, Backtesting, and Data Visualizations plus 3 more areas.

Where they differ

AmiBroker

Distinct strengths include:

Monte Carlo

Risk Metrics (VaR/ES/Drawdown)

Auto-Trading & Bots

Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore.
Walk‑forward testing integrated with optimization; in/out‑of‑sample stats.
Monte Carlo simulation (custom metrics can drive optimization/WF objective).
Very fast multi‑threaded optimization with 3D optimization surface visualization.

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	AmiBroker	Portfolio123
Categories Which research workflows each platform targets	Shared: Quant, Backtesting, Data Visualizations, Screeners, Correlation, APIs & SDKs Unique: Monte Carlo, Risk Metrics (VaR/ES/Drawdown), Auto-Trading & Bots	Shared: Quant, Backtesting, Data Visualizations, Screeners, Correlation, APIs & SDKs Unique: Portfolio, Calendar, Data APIs, Broker Connectors
Asset types Supported asset classes and universes	Stocks, ETFs, Mutual Funds, Futures, Currencies	Stocks, ETFs
Experience levels Who each product is built for	Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Desktop	Web, Desktop, API
Pricing High-level pricing models	One-time	Free, Subscription
Key features Core capabilities called out by each vendor	Unique Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore. Walk‑forward testing integrated with optimization; in/out‑of‑sample stats. Monte Carlo simulation (custom metrics can drive optimization/WF objective). Very fast multi‑threaded optimization with 3D optimization surface visualization. Exploration/Scanner to build custom screeners and reports via AFL. Rich AFL scripting language for indicators, scans, backtests, and custom metrics; visual debugger.	Unique 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). Coverage of 15,000+ equities in the U.S., Canada, and Europe, including delisted stocks and spinoffs.
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 AmiBroker and Portfolio123 both support?

Both platforms cover Quant, Backtesting, Data Visualizations, Screeners, Correlation, and APIs & SDKs 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 AmiBroker requires a paid subscription. Review the pricing table to see how the paid tiers compare.

How can you access AmiBroker and Portfolio123?

Both AmiBroker 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?

AmiBroker differentiates itself with Portfolio‑level backtesting with dynamic position sizing and bar‑by‑bar ranking/PositionScore., Walk‑forward testing integrated with optimization; in/out‑of‑sample stats., and Monte Carlo simulation (custom metrics can drive optimization/WF objective)., 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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