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SqueezeMomentumBot · Momentum & swing — strategy & live paper-trading performance

  • 23 June 2026
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AIB Strategies and DataFortress.cloud are not giving any trading advice. Statistics and opinions stated on this website are purely statistical, and should never be used for real life trading. Form your own decisions and speak with a registered investment advisor before investing.

SqueezeMomentumBot is a production algorithmic trading strategy paper-traded live from a $10,000 seed. Live paper-trading performance: -14.79% annualised return (-2.98% total), Sharpe -1.67 over 62 days.

TL;DR

  • Strategy family: Momentum & swing — Classic momentum, Bollinger/Keltner squeeze, and multi-day swing strategies.
  • Live track record: -14.79% annualised return (CAGR), Sharpe -1.67, max drawdown -4.16% over 62 trading days.
  • Code: open-source on python_tradingbot_frameworktradingbot/squeezemomentumbot.py.

Live performance snapshot

  • Annualised return (CAGR): -14.79%
  • Current paper-portfolio worth: $9702.21 (seeded at $10,000)
  • Total return since seed: -2.98%
  • Sharpe: -1.67
  • Max drawdown: -4.16%
  • Days live: 62

See the full chart, current holdings, and historical backtest on the strategy’s live page →.

How SqueezeMomentumBot works

A full technical writeup for SqueezeMomentumBot is in progress. In the meantime:

Run it yourself

SqueezeMomentumBot is part of the open-source python_tradingbot_framework — fork the repo, run the code locally, or deploy your own variant. The source lives at tradingbot/squeezemomentumbot.py. The live page shows today’s portfolio state alongside the full historical backtest.

FAQ

Is SqueezeMomentumBot profitable live?

Since deployment, SqueezeMomentumBot has produced an annualised return (CAGR) of -14.79% on a $10,000 paper seed (-2.98% cumulative), with a Sharpe ratio of -1.67 and a max drawdown of -4.16% over 62 trading days. Numbers refresh daily on the live page.

Can I run SqueezeMomentumBot myself?

Yes. SqueezeMomentumBot is part of the open-source python_tradingbot_framework — you can fork the repo, inspect the strategy, and run the code locally or on your own Kubernetes cluster. The exact source file is here.

How does SqueezeMomentumBot compare to other quantitative strategies?

SqueezeMomentumBot belongs to the Momentum & swing family. Classic momentum, Bollinger/Keltner squeeze, and multi-day swing strategies. Browse the full leaderboard to compare it against strategies from other families.

Compare every strategy

Browse the full live leaderboard to see how SqueezeMomentumBot ranks against 23 other paper-traded strategies, all seeded with the same $10,000.

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