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AI Agent Trading Bot Examples and Their Strategy Designs

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Summary

This page catalogs trading bot examples built around AI agents, ranging from copying reported investor or insider holdings to sentiment signals, agent debates, options strategies, intraday rules, and macro or sector portfolio discussions. It outlines different team designs: a single agent for simple rules, researcher and trader roles for many bots, and debate or group formats where multiple viewpoints matter. The examples are described as plain-English strategies with code and backtest tear sheets on their individual pages.

The page also states a shared operating convention: a backtesting setting selects simulation, while the alternative mode trades through a broker. It provides no performance figures or detailed evidence on this overview page, and explicitly cautions that a backtest only demonstrates behavior on its chosen data and dates, not future returns. The examples are inspired by public ideas and do not imply endorsement by named people or firms.

Key ideas

  • The gallery spans investor copying, sentiment, options, intraday signals, and portfolio strategies.
  • Agent roles range from a single rules agent to researcher and trader pairs or debating teams.
  • Each listed bot has its own code and backtest material on a separate page.
  • A configuration setting determines whether the examples backtest or trade through a broker.
  • Backtests are limited to their specific data and dates and do not establish future performance.

Tags

Machine learningBacktestingOptionsEquitiesSentiment
Full text
# agents examples


AI Trading Bot Examples
=======================

.. meta::
   :description: Free AI trading bot examples in Python: copy Nancy Pelosi's trades, follow insider buying, trade 0DTE options, and more. Each bot is two AI agents.

Pick a bot, read how it works, and run it. Each bot is a few sentences of plain
English. The agents fit the strategy: one agent for simple rules, a researcher
and a trader for most bots, and a debate or a team where that is the point.
Every page shows the full code and a real backtest tear sheet.

Every file ends the same way: with ``IS_BACKTESTING=true`` in your ``.env`` file
it backtests, otherwise it trades with your broker. See :doc:`strategy_run_modes`.

.. image:: ../docs/assets/ai-trading/example-gallery.png
   :alt: AI trading with LumiBot: one agent, agents that debate, or AI combined with Python rules.
   :width: 640px
   :align: center
   :class: lumibot-entry-hero

Copy famous investors and insiders
----------------------------------

* :doc:`agents_example_nancy_pelosi_trading_bot`: owns the same stocks as Nancy Pelosi, rebuilt from her reports on the House website.
* :doc:`agents_example_nancy_pelosi_copy_trading_bot`: copies her whole portfolio, call options included, sized to your account.
* :doc:`agents_example_insider_trading_bot`: buys more of the stocks that CEOs and directors are buying with their own money.
* :doc:`agents_example_warren_buffett_ai_stock_picker`: owns great companies at fair prices, the way Warren Buffett describes it.
* :doc:`agents_example_bill_ackman_portfolio_ai_trading_bot`: holds a few high-conviction stocks, the way Bill Ackman invests.

Read the web with a real browser
--------------------------------

* :doc:`agents_example_fear_and_greed_index_trading_bot`: opens CNN's Fear & Greed Index in a browser and buys SPY on fear, sells on greed.

AI agents that debate
---------------------

* :doc:`agents_example_bull_vs_bear_ai_stock_trading_bot`: a bull agent and a bear agent argue about the biggest US stocks before the trade.
* :doc:`agents_example_tqqq_strategy_ai_trading_bot`: the same debate for leveraged ETFs like TQQQ and SQQQ.

Options
-------

* :doc:`agents_example_iron_condor_ai_trading_bot`: sells a one-day SPY iron condor at 3:45 PM and closes early if SPY runs toward a strike.
* :doc:`agents_example_put_credit_spread_ai_trading_bot`: sells a SPY put credit spread about a month out and manages the exit.
* :doc:`agents_example_0dte_options_ai_trading_bot`: sells a same-day SPY call spread and watches it every 15 minutes.

Day trading
-----------

* :doc:`agents_example_vwap_strategy_ai_trading_bot`: buys SPY when it bounces back above VWAP.
* :doc:`agents_example_opening_range_breakout_ai_trading_bot`: buys the stock that breaks out above its first 15 minutes.

Hedge fund style AI teams
-------------------------

* :doc:`agents_example_citadel_sector_pods`: five sector agents pitch ideas to a risk manager and a portfolio manager.
* :doc:`agents_example_ray_dalio_idea_meritocracy`: growth, inflation, and debt agents argue before a trader builds a macro ETF basket.

A backtest shows the code works for that data and those dates. It is not a
promise of future returns. These examples are inspired by public ideas and are
not affiliated with or endorsed by the people or firms they are named after.

.. toctree::
   :hidden:

   agents_example_nancy_pelosi_trading_bot
   agents_example_nancy_pelosi_copy_trading_bot
   agents_example_insider_trading_bot
   agents_example_warren_buffett_ai_stock_picker
   agents_example_bill_ackman_portfolio_ai_trading_bot
   agents_example_fear_and_greed_index_trading_bot
   agents_example_bull_vs_bear_ai_stock_trading_bot
   agents_example_tqqq_strategy_ai_trading_bot
   agents_example_iron_condor_ai_trading_bot
   agents_example_put_credit_spread_ai_trading_bot
   agents_example_0dte_options_ai_trading_bot
   agents_example_vwap_strategy_ai_trading_bot
   agents_example_opening_range_breakout_ai_trading_bot
   agents_example_citadel_sector_pods
   agents_example_ray_dalio_idea_meritocracy

Build your own AI trading bot
-----------------------------

Want help turning your idea into a strategy? Learn with Rob in the free challenge.

.. image:: ../docs/assets/ai-trading/rob-examples.png
   :alt: Learn with Rob Grzesik, creator of LumiBot. Join the FREE challenge.
   :width: 640px
   :align: center
   :class: lumibot-learning-image
   :target: https://botspot.trade/challenges?utm_source=documentation&utm_medium=docs&utm_campaign=lumibot_ai_trading&utm_content=examples_challenge_image

Shown in full with attribution under the source's licence. Licence: GPL-3.0

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.