Trading Research & Guides
Substantive guides on backtesting, strategy validation, and quantitative trading concepts — written for traders who want to test ideas rigorously.
How to Backtest a Trading Strategy with AI
A step-by-step guide to testing any trading strategy against historical data using natural language, without writing a single line of code.
Walk-Forward Optimization Explained
Understand why walk-forward testing is the most reliable way to validate a trading strategy and avoid overfitting to historical data.
Monte Carlo Simulation for Traders
How reshuffling your trade history 1,000 times reveals the true risk profile of your strategy — before you put real money on the line.
How to Validate a Strategy Before Live Trading
The complete validation checklist: from initial backtest through walk-forward, blind data testing, and paper trading before committing real capital.
Put the theory into practice
BacktestLM runs all of these techniques — walk-forward, Monte Carlo, blind data testing — on any strategy you can describe in plain English.
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