VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Monday, October 13, 2025

Head-to-head

AmiBroker vs DeepVest (formerly Benjamin AI) comparison

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

Quick takeaways

AmiBroker adds Monte Carlo, APIs & SDKs, and Auto-Trading & Bots coverage that DeepVest (formerly Benjamin AI) skips.

DeepVest (formerly Benjamin AI) includes Financials, News, Regulatory Filings Monitoring, Scenario & Stress Tests, and Portfolio 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)..

DeepVest (formerly Benjamin AI) is known for: 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)..

AmiBroker logo

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.

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DeepVest (formerly Benjamin AI) logo

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.

Platforms

Web

Pricing

Subscription

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)

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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:

  • 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.

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.

Feature-by-feature breakdown

AttributeAmiBrokerDeepVest (formerly Benjamin AI)
Categories

Which research workflows each platform targets

Shared: Quant, Backtesting, Data Visualizations, Screeners, Risk Metrics (VaR/ES/Drawdown), Correlation

Unique: Monte Carlo, APIs & SDKs, Auto-Trading & Bots

Shared: Quant, Backtesting, Data Visualizations, Screeners, Risk Metrics (VaR/ES/Drawdown), Correlation

Unique: Financials, News, Regulatory Filings Monitoring, Scenario & Stress Tests, Portfolio

Asset types

Supported asset classes and universes

Stocks, ETFs, Mutual Funds, Futures, Currencies

Stocks, ETFs, Commodities, Currencies, Cryptos

Experience levels

Who each product is built for

Intermediate, Advanced

Beginner, Intermediate, Advanced

Platforms

Where you can access the product

Desktop

Web

Pricing

High-level pricing models

One-time

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

  • 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).
  • SEC filings intelligence (search & analysis) and real‑time market news aggregation.
Tested

Verified by hands-on testing inside Find My Moat

Not yet

Not yet

Editor pick

Featured inside curated shortlists

Standard listing

Standard listing

Frequently Asked Questions

Which workflows do AmiBroker and DeepVest (formerly Benjamin AI) both support?

Both platforms cover Quant, Backtesting, Data Visualizations, Screeners, Risk Metrics (VaR/ES/Drawdown), and Correlation workflows, so you can research those use cases in either tool before digging into the feature differences below.

Do AmiBroker and DeepVest (formerly Benjamin AI) require subscriptions?

Neither platform maintains a free tier. Budget for a subscription to unlock the research coverage highlighted in this comparison.

How can you access AmiBroker and DeepVest (formerly Benjamin AI)?

Both AmiBroker and DeepVest (formerly Benjamin AI) 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 DeepVest (formerly Benjamin AI) stands out for 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)..

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.