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How to backtest a trading strategy described in plain English with Vibe Trading

Install the package, run the setup, and ask for a backtest in one sentence.

Short answer: Install with pip install -U vibe-trading-ai; then run the interactive setup (vibe-trading init in the README quick start) to write your .env with an LLM key; ask for a backtest with vibe-trading run and a prompt, for example a BTC-USDT 20/50 moving-average strategy for 2024. All steps.

  • Top pick
  • Money
  • Intermediate
  • 20 minutes
  • From the README
  • Any agent

Credentials. Your LLM key lives in the runtime .env, so keep it private and out of shared folders.

Who it is forA developer with a strategy idea who does not want to write data loading and backtest code by hand.

The problemTesting even a simple moving-average idea means wiring data, signals and metrics together first.

The outcomeA finished backtest with a summary of return and drawdown, and the generated code saved in the run directory.

What you need first

  • Python 3.11 or later for a local install, or Docker
  • An LLM API key from a supported provider, or Ollama locally
  • Market data works without keys for many markets through free fallbacks

Steps

  1. Install with pip install -U vibe-trading-ai
  2. Run the interactive setup (vibe-trading init in the README quick start) to write your .env with an LLM key
  3. Ask for a backtest with vibe-trading run and a prompt, for example a BTC-USDT 20/50 moving-average strategy for 2024
  4. Read the run card: settings it did not recognise are reported, and values it cannot compute come back as null instead of a guess

Prompt for your agent

Install HKUDS/Vibe-Trading and backtest <strategy in plain English> on <symbol> for <period>. Report return, max drawdown and number of trades, and list any backtest setting the run card flagged as unrecognised.

Caveat. A backtest is not a forecast, and the project warns it has never launched a token, so ignore any coin using its name. Not financial advice: paper trade first, and remember you can lose money.

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