Trading experiments, not guesswork

Test how AI trades before you risk real capital

Configure an LLM with your parameters. Pick the market, set leverage, stop loss, take profit. Run the experiment against real historical data. See exactly what happens.

Start Experimenting
> experiment.create(
    asset: "BTC/USD",
    leverage: 5x,
    stop_loss: -3%,
    take_profit: +8%,
    llm_strategy: "momentum + sentiment",
    period: "2024-01 to 2025-12"
)

Running 487 trading days...
Trades executed: 142
Win rate: 61.3%
Max drawdown: -12.4%
Total return: +47.2% vs benchmark +31.8%
How it works
01

Set your parameters

Choose market, asset, leverage, stop loss, and take profit. Define the boundaries of your experiment.

02

Configure the LLM

Tell the AI how to think. Momentum, sentiment, fundamentals, or a mix. You control the decision framework.

03

Run the backtest

The LLM trades against real historical data. Every decision is logged, every trade is tracked.

04

Analyze results

Equity curves, win rates, drawdowns, trade-by-trade reasoning. Understand not just what happened, but why.

Built for experimentation
// MULTI

Multiple experiments

Run different LLM configurations side by side. Compare strategies across the same time period to find what works.

// SAFE

Zero risk sandbox

Every trade is simulated. Test aggressive strategies, wild leverage, contrarian approaches. Learn without losing.

// DATA

Real market data

Backtest against actual historical prices. Stocks, crypto, forex. The data is real, only the risk is simulated.

// WHY

Explainable decisions

Every trade comes with the LLM's reasoning. See exactly why it bought, why it sold, and what signals it weighed.

Every trader deserves a laboratory

The best quant firms test thousands of strategies before risking a dollar. AlphaLab gives every trader the same advantage: a place to experiment with AI-driven trading, learn from the results, and build confidence before going live.

Run Your First Experiment