AIHedgeFundBot

Q: "Is AIHedgeFundBot profitable live?"

"Since deployment, AIHedgeFundBot has produced an annualised return (CAGR) of 41.73% on a $10,000 paper seed (28.06% cumulative), with a Sharpe ratio of 1.57 and a max drawdown of -15.34% over 152 trading days. Numbers refresh daily on the [live page](/strategies/aihedgefundbot/)."

Q: "Can I run AIHedgeFundBot myself?"

"Yes. AIHedgeFundBot 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/aihedgefundbot.py)."

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

"AIHedgeFundBot belongs to the **AI / LLM-driven** family. LLM-in-the-loop strategies: GPT, DeepSeek, and multi-agent hedge-fund setups. Browse the [full leaderboard](/) to compare it against strategies from other families."

AIHedgeFundBot · AI / LLM-driven — strategy & live paper-trading performance

22 September 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.

AIHedgeFundBot is a production algorithmic trading strategy paper-traded live from a $10,000 seed. Live paper-trading performance: 41.73% annualised return (28.06% total), Sharpe 1.57 over 152 days.

TL;DR

Strategy family: AI / LLM-driven — LLM-in-the-loop strategies: GPT, DeepSeek, and multi-agent hedge-fund setups.
Live track record: 41.73% annualised return (CAGR), Sharpe 1.57, max drawdown -15.34% over 152 trading days.
Code: open-source on python_tradingbot_framework — tradingbot/aihedgefundbot.py.

Live performance snapshot

Annualised return (CAGR): 41.73%
Current paper-portfolio worth: $12758.30 (seeded at $10,000)
Total return since seed: 28.06%
Sharpe: 1.57
Max drawdown: -15.34%
Days live: 152

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

How AIHedgeFundBot works

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

Source code: tradingbot/aihedgefundbot.py.
Open-source framework: python_tradingbot_framework.

Run it yourself

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

DeepSeekToolBot — also in the AI / LLM-driven family. See live performance →
GptBasedStrategyBTCTabased — also in the AI / LLM-driven family. See live performance →

FAQ

Is AIHedgeFundBot profitable live?

Since deployment, AIHedgeFundBot has produced an annualised return (CAGR) of 41.73% on a $10,000 paper seed (28.06% cumulative), with a Sharpe ratio of 1.57 and a max drawdown of -15.34% over 152 trading days. Numbers refresh daily on the live page.

Can I run AIHedgeFundBot myself?

Yes. AIHedgeFundBot 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 AIHedgeFundBot compare to other quantitative strategies?

AIHedgeFundBot belongs to the AI / LLM-driven family. LLM-in-the-loop strategies: GPT, DeepSeek, and multi-agent hedge-fund setups. Browse the full leaderboard to compare it against strategies from other families.