Build and run trading bots with AI.

Describe your trading idea in plain English. Build it with AI, backtest it, and run it through your broker. No coding required.

Build a botExplore the AI Trading Bootcamp

Works with

  • Alpaca broker
  • Tradier broker
  • Tradovate broker
  • Kraken broker
  • Coinbase broker

AI Trading Bootcamp.

Place your first reviewed trade in week one. Build an AI agent that researches and trades within rules you set. Five weeks live on Zoom, or the self-paced Bot Builder archive. No coding experience required.

Explore the AI Trading Bootcamp
Rob Grzesik, instructor of the AI Trading Bootcamp
Rob GrzesikCEO of BotSpot · Creator of Lumibot · Master of Finance, Schulich.Teaches every live session.

Live Algo Lab.

Vote on what to build, then watch Rob build and debug it live every Tuesday. Bring your questions and catch up with replays. Included with Pro.

See Live Algo Lab

7-Day AI Trading Challenge.

Bring one trading idea. Research it with AI and prepare a trade to review with Rob. Two live sessions, one week apart. No coding required.

Join the free challenge

Live with RobFree · Seven days · No credit card

  1. Day 1
    Kickoff with Rob

    Choose your trading idea and start researching it.

  2. Days 2–6
    One idea. Your pace.

    Research with AI and prepare a trade to review.

  3. Day 7
    Live wrap-up

    Review your progress with Rob, even if you are not finished.

The AI Agent.

Get market data, explore charts, and prepare orders in plain English. Review each order before you approve it.

Ready to automate? Build and backtest a bot, then set its rules and schedule before enabling it to trade.

Start with the AI Agent
Example prompts

  1. You · Get a quote

    What's the latest price of QQQ?

  2. You · Explore the chart

    Show QQQ with the 200-day moving average and volume.

  3. You · Review a trade

    Help me prepare a QQQ order at my broker. Show the details before I approve.

Diversified Leverage.

See how this strategy performed in a historical simulation against SPY. Review its trading rules, returns, and largest peak-to-trough decline.

Review full listing
Feb 16, 2010 to Jul 31, 2026Hypothetical
Strategy return
3,400.20%
SPY return
814.86%
Backtest CAGR
24.12%
Max drawdown
−57.86%
Backtested cumulative return Strategy SPY
Diversified Leverage cumulative return compared with SPYHypothetical Lumibot backtest from February 2010 through July 2026.

Source: Lumiwealth strategy files · Run Aug 3, 2026

Hypothetical backtest using historical data and 0.1% buy/sell fees. Excludes taxes, slippage, and liquidity effects. No account achieved these results. Future results may differ. Educational only. Not investment advice or a recommendation.

50+ strategies.

Start with an existing strategy and make it your own. Review its rules and available performance history, or ask the AI Agent to build a new bot from your idea.

Browse bot templates
  1. Diversified LeverageMulti-asset24.12% CAGR · −57.86% max drawdown
  2. Alpha Picks Dynamic Portfolio RebalancerResearch feedPoint-in-time replay
  3. Leveraged ETF rotationAI trading teamSee the agent’s research and actions
  4. Options income trade managerCustom optionsCash-secured puts and covered calls

Backtests are simulations, not actual trading results or a promise of future returns.

See case studies

What you should know.

You don't need to code.

Describe your strategy in plain English, or paste rules from TradingView or another AI. You can also edit the generated Python code.

BotSpot does not hold your money.

Capital stays in your brokerage account. We cannot withdraw funds. Every trade and change is logged.

Trade through your own broker.

Alpaca, Tradier, Tradovate, Kraken, or Coinbase.

You can lose money.

Backtests show simulated results, not future returns. You choose your risk and approve each order, or separately enable a bot to trade within your rules. Pause your bot anytime.

Build your first trading bot.

Build a botBrowse bot templatesView pricing

Trading involves risk. BotSpot provides software tools and connectivity, not investment advice. Backtests, simulations, and paper trading are not predictive of future results.