Backtesting allows you to evaluate how a strategy would have behaved on historical data before using it in live conditions. It helps assess signal quality, consistency, and basic risk characteristics.
Once a LUA strategy compiles successfully, users can evaluate its performance by clicking Run.
Based on the selected pSpan configuration, the strategy is backtested across different time windows.
As the compiler progresses through historical data, signals are incrementally generated. Performance metrics include the number of buy and sell signals and their respective outcomes.
Backtesting does not predict future performance and should be used to compare strategies and understand behavior, not as a guarantee of outcomes.
Successful signals are displayed with a green dot, while losing signals are marked with an orange dot, allowing quick visual comparison across time windows.
