Kanso is an Apache-2.0 quant workbench that uses agent-driven workflows to explore hypotheses, run autoresearch, certify results, develop strategies, and build portfolios on NautilusTrader. It is intended for quantitative researchers and algorithmic traders.
In the Trading bots, indicators & backtesting space, kanso takes a focused approach. It focuses on automating quantitative research and strategy certification for algorithmic trading workflows. kanso is an open-source project aimed at quantitative researchers and algorithmic traders. kanso is open source under the Apache-2.0 license. kanso is available on the command line, and it can be self-hosted.
kanso first shipped in 2026. Key capabilities include hypothesis research, autoresearch, and result certification.
Summary written by a language model from the project’s public pages.
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