TARegimeAdaptiveBot is a production algorithmic trading strategy paper-traded live from a $10,000 seed. Live paper-trading performance: 46.91% annualised return (13.11% total), Sharpe 4.14 over 96 days.

TL;DR

• Strategy family: Regime-adaptive — Detects market regimes (trend vs. mean-reversion) and switches strategy per regime.
• Live track record: 46.91% annualised return (CAGR), Sharpe 4.14, max drawdown -1.91% over 96 trading days.
• Code: open-source on python_tradingbot_framework — tradingbot/taregimebot.py.

Live performance snapshot

• Annualised return (CAGR): 46.91%
• Current paper-portfolio worth: $11311.31 (seeded at $10,000)
• Total return since seed: 13.11%
• Sharpe: 4.14
• Max drawdown: -1.91%
• Days live: 96

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

How TARegimeAdaptiveBot works

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

• Framework docs: TARegimeAdaptiveBot on GitHub.
• Source code: tradingbot/taregimebot.py.
• Open-source framework: python_tradingbot_framework.

Run it yourself

TARegimeAdaptiveBot 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/taregimebot.py. The live page shows today’s portfolio state alongside the full historical backtest.

Related Regime-adaptive strategies

• RegimeAdaptiveBot — also in the Regime-adaptive family. See live performance →
• AdaptiveMeanReversionBot — also in the Regime-adaptive family. See live performance →

FAQ

Is TARegimeAdaptiveBot profitable live?

Since deployment, TARegimeAdaptiveBot has produced an annualised return (CAGR) of 46.91% on a $10,000 paper seed (13.11% cumulative), with a Sharpe ratio of 4.14 and a max drawdown of -1.91% over 96 trading days. Numbers refresh daily on the live page.

Can I run TARegimeAdaptiveBot myself?

Yes. TARegimeAdaptiveBot 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 TARegimeAdaptiveBot compare to other quantitative strategies?

TARegimeAdaptiveBot belongs to the Regime-adaptive family. Detects market regimes (trend vs. mean-reversion) and switches strategy per regime. Browse the full leaderboard to compare it against strategies from other families.

Compare every strategy

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