Backtest the Strategy
Backtest the Strategy
Backtesting allows you to evaluate how your agent’s strategy and parameters would have behaved when applied to historical market data.
This step helps you understand the historical characteristics of your configuration before using the agent for signals or execution.
What backtesting does
A backtest simulates the agent’s fixed strategy using past market data.
Backtesting:
Applies your selected strategy and parameters to historical data
Shows how the strategy behaved under past market conditions
Produces historical performance and risk metrics
Backtesting is descriptive. It does not predict future performance.
Running a backtest
To run a backtest:
Review your strategy and parameter configuration
Start the backtest
Wait for the results to be generated
Once completed, the results are displayed in the performance view.
Interpreting backtest results
When reviewing backtest results, focus on:
Overall consistency rather than isolated outcomes
Drawdowns and recovery periods
Behavior across different market regimes
Risk exposure relative to returns
Backtest results should always be interpreted in context.
Limitations of backtesting
Backtests operate under simplified assumptions and cannot account for:
Live market liquidity
Slippage and execution delays
Fees and funding effects
Changes in market structure over time
As a result, live execution may differ from backtested results.
What happens after backtesting
After reviewing the backtest, your agent is ready to be used.
You can:
Make the agent discoverable in the Marketplace
Use the agent for signals
Connect the agent via API execution
The strategy and parameters remain fixed. The agent’s performance history updates over time, with a rolling lookback of up to five years.
Important notes
Backtesting does not guarantee outcomes
Historical performance does not predict future results
AITA does not optimize or adjust strategies automatically
Users remain responsible for risk and execution decisions
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