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Backtrader

Free#3 of 18 in Quant Tools

Backtrader: A free, open-source Python framework for strategy research and broker-connected trading. Ranked #3 of 18 in Quant Tools by our editors (8.8/10); pricing: Free plan; best for developers backtesting strategies in Python.

8.8/10Editor score
Backtrader8.8 Visit Backtrader

At a glance

  • Editor score
    8.8 / 10
  • Pricing
    Free plan
  • Best for
    Developers backtesting strategies in Python
  • Free plan
    Yes
  • Paid from
    Free
  • Live trade execution
    Yes
  • Facts checked
    24 Sep 2026
  • Where it wins

    • Backtest Python strategies with multi-asset data feeds
    • Optimization, indicators and analyzers support strategy evaluation
    • Connect supported brokers for live data and trading
  • Where it doesn't

    • Requires Python development rather than no-code strategy building
    • Self-hosted, so users manage their own environment
    • Live broker and data-feed capabilities depend on integrations

Our verdict on Backtrader

Backtrader is a Python framework for developing, backtesting and analyzing trading strategies. It suits developers who want to write strategy logic in Python and work with multi-asset data, rather than use a hosted, no-code trading platform. The framework runs on Windows, macOS and Linux and can load CSV, Yahoo Finance, database and supported broker feeds.

Its research workflow combines an event-driven engine with built-in indicators, performance analyzers and plotting. Users can resample or replay feeds across timeframes, configure order types, commissions and slippage, and run parameter optimization across strategy instances. These tools make Backtrader a fit for comparing strategy behavior and reviewing results within a Python workflow. It is free and open source, with self-hosted deployment; the listed support channel is documentation.

Broker connections include Interactive Brokers, Visual Chart, Oanda, Alpaca and ccxt, supporting live data and trading where the relevant integration and external services allow it. That flexibility comes with setup and maintenance work: users need to develop in Python, manage their own environment and account for the capabilities of their chosen broker and data feed. Choose Backtrader if you want an open-source toolkit for code-driven backtesting that can connect to supported brokers. Consider another option if you need a hosted service, a no-code interface or a workflow that does not depend on external integrations.

Your product? Our editors can test Backtrader in depth and publish a review, labelled as paid · from $149/mo →

Backtrader pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on backtrader.com

Backtrader fact sheet

Free planYes
Paid fromFree
Strategy backtestingYes
Live trade executionYes
Paper tradingNot verified
Asset classesMulti-asset
Strategy languagesPython
Historical data accessYes
DeploymentSelf-hosted
PlatformsWindows, macOS, Linux
SupportDocs
Built forSolo, Small business, Mid-market (editorial estimate)
Integrations5 integrations: Interactive Brokers, Visual Chart, Oanda, Alpaca, ccxt
PricingFree plan
Websitebacktrader.com
Facts checked24 Sep 2026

Backtrader integrations

Backtrader lists 5 integrations on its own site.

  • Interactive Brokers
  • Visual Chart
  • Oanda
  • Alpaca
  • ccxt

Alternatives to Backtrader

See all Backtrader alternatives →

Backtrader vs the competition

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Featured on iTechGuides

Featured on iTechGuides — Backtrader 8.8/10

Backtrader is listed in our Quant Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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