VOL. XCIV, NO. 247

★ FINANCIAL TOOLS & SERVICES DIRECTORY ★

PRICE: 5 CENTS

Monday, October 13, 2025

View AmiBrokerView QuantConnectBack to Home

Head-to-head

AmiBroker vs QuantConnect comparison

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

Quick takeaways

AmiBroker adds Data Visualizations, Screeners, Monte Carlo, Risk Metrics (VaR/ES/Drawdown), and Correlation coverage that QuantConnect skips.

QuantConnect includes Paper Trading, and Options & Derivatives 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)..

QuantConnect is known for: Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers., Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud., and Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX..

QuantConnect keeps a free entry point that AmiBroker lacks.

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.

Community votes (overall)

0% upvotes 0% downvotes
You haven't voted yet
View full profileVisit site
QuantConnect logo

QuantConnect

quantconnect.com

QuantConnect runs on the open-source LEAN engine, giving quants and systematic traders a unified workflow from research to backtesting to live deployment. You can run everything locally or in the cloud. Historical data down to tick and second resolution is available on paid tiers, and live-trading notifications scale by plan (from a handful per hour to thousands). Some broker and data feeds—like Trading Technologies futures or premium vendors—are only unlocked at higher tiers.

Platforms

Web
Desktop
API

Pricing

Free
Subscription

Quick highlights

  • Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers.
  • Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud.
  • Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX.
  • Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors.
  • Generates detailed backtest reports you can download as PDFs and raw results exportable as CSV or JSON.

Community votes (overall)

0% upvotes 0% downvotes
You haven't voted yet
View full profileVisit site
Overlap

Shared focus areas

4 overlaps

Mutual strengths include Quant, Backtesting, and APIs & SDKs plus 1 more area.

Where they differ

AmiBroker

Distinct strengths include:

Data Visualizations
Screeners
Monte Carlo
Risk Metrics (VaR/ES/Drawdown)
Correlation
  • 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.

QuantConnect

Distinct strengths include:

Paper Trading
Options & Derivatives
  • Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers.
  • Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud.
  • Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX.
  • Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors.

Feature-by-feature breakdown

AttributeAmiBrokerQuantConnect
Categories

Which research workflows each platform targets

Shared: Quant, Backtesting, APIs & SDKs, Auto-Trading & Bots

Unique: Data Visualizations, Screeners, Monte Carlo, Risk Metrics (VaR/ES/Drawdown), Correlation

Shared: Quant, Backtesting, APIs & SDKs, Auto-Trading & Bots

Unique: Paper Trading, Options & Derivatives

Asset types

Supported asset classes and universes

Stocks, ETFs, Mutual Funds, Futures, Currencies

Stocks, ETFs, Options, Futures, Currencies, Cryptos

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

  • Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers.
  • Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud.
  • Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX.
  • Robust options support with Greeks, implied volatility, and helpers for building multi-leg strategies such as iron condors.
  • Generates detailed backtest reports you can download as PDFs and raw results exportable as CSV or JSON.
  • Cloud API and Lean CLI for managing projects, running backtests, deploying live strategies, and pulling reports programmatically.
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 QuantConnect both support?

Both platforms cover Quant, Backtesting, APIs & SDKs, and Auto-Trading & Bots workflows, so you can research those use cases in either tool before digging into the feature differences below.

Which tool offers a free plan?

QuantConnect 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 QuantConnect?

Both AmiBroker and QuantConnect 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 QuantConnect stands out for Seamless environment that connects research, backtests, and live trading on institutional-grade co-located servers., Powered by the open-source LEAN engine (Python 3.11 and C#), with the flexibility to run locally or in the cloud., and Multi-asset coverage across equities, ETFs, options, futures, FX, and crypto, with a long list of broker and data integrations including Interactive Brokers, Schwab, TradeStation, Tastytrade, Alpaca, OANDA, Binance, Coinbase, Kraken, Bybit, and Bloomberg EMSX..

Keep exploring

Stay on top of related tools

Browse the categories and profiles that overlap most with this comparison to round out your shortlist.

Recommended tools

These profiles share overlapping coverage with both sides of this matchup.

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.