AdaptiveMeanReversionBot

Q: "Is AdaptiveMeanReversionBot profitable live?"

"Since deployment, AdaptiveMeanReversionBot has produced an annualised return (CAGR) of 115.16% on a $10,000 paper seed (21.29% cumulative), with a Sharpe ratio of 3.63 and a max drawdown of -7.03% over 71 trading days. Numbers refresh daily on the [live page](/strategies/adaptivemeanreversionbot/)."

Q: "Can I run AdaptiveMeanReversionBot myself?"

"Yes. AdaptiveMeanReversionBot is part of the open-source [python_tradingbot_framework](https://github.com/JustinGuese/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](https://github.com/JustinGuese/python_tradingbot_framework/blob/main/tradingbot/adaptivemeanreversionbot.py)."

Q: "How does AdaptiveMeanReversionBot compare to other quantitative strategies?"

"AdaptiveMeanReversionBot 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."

AdaptiveMeanReversionBot · Regime-adaptive — strategy & live paper-trading performance

23 June 2026

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.

AdaptiveMeanReversionBot is a production algorithmic trading strategy paper-traded live from a $10,000 seed. Live paper-trading performance: 115.16% annualised return (21.29% total), Sharpe 3.63 over 71 days.

TL;DR

Strategy family: Regime-adaptive — Detects market regimes (trend vs. mean-reversion) and switches strategy per regime.
Live track record: 115.16% annualised return (CAGR), Sharpe 3.63, max drawdown -7.03% over 71 trading days.
Code: open-source on python_tradingbot_framework — tradingbot/adaptivemeanreversionbot.py.

Live performance snapshot

Annualised return (CAGR): 115.16%
Current paper-portfolio worth: $12128.81 (seeded at $10,000)
Total return since seed: 21.29%
Sharpe: 3.63
Max drawdown: -7.03%
Days live: 71

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

How AdaptiveMeanReversionBot works

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

Framework docs: AdaptiveMeanReversionBot on GitHub.
Source code: tradingbot/adaptivemeanreversionbot.py.
Open-source framework: python_tradingbot_framework.

Run it yourself

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

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

FAQ

Is AdaptiveMeanReversionBot profitable live?

Since deployment, AdaptiveMeanReversionBot has produced an annualised return (CAGR) of 115.16% on a $10,000 paper seed (21.29% cumulative), with a Sharpe ratio of 3.63 and a max drawdown of -7.03% over 71 trading days. Numbers refresh daily on the live page.

Can I run AdaptiveMeanReversionBot myself?

Yes. AdaptiveMeanReversionBot 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 AdaptiveMeanReversionBot compare to other quantitative strategies?

AdaptiveMeanReversionBot 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 AdaptiveMeanReversionBot ranks against 23 other paper-traded strategies, all seeded with the same $10,000.