What metrics should be used to evaluate a trading robot's performance?
Various metrics are used to analyze a trading robot’s performance, helping to evaluate the effectiveness of the strategy and its resilience to market changes.
Key metrics:
- Total profitability:
- Total profit earned over a specific period.
- Helps determine how successful the strategy is overall.
- Maximum drawdown:
- The difference between the local maximum and minimum of the account balance.
- Allows you to assess the risks associated with using the strategy.
- Sharpe Ratio:
- The ratio of average profit to the standard deviation of profit.
- The higher the value, the more stable the strategy.
- Win/loss ratio:
- The percentage of successful trades out of the total number.
- Important to consider together with the risk-reward ratio.
- Execution speed:
- The time between sending an order and its execution.
- Critical for high-frequency strategies.
Analysis tools:
- MetaTrader: The built-in strategy analyzer provides detailed metrics.
- QuantConnect: Allows evaluating strategies in a cloud environment.
- StockSharp Designer: Suitable for comprehensive analysis with result visualization.
- TSLab: Provides a convenient interface for risk and return analysis.
Tips:
- Focus not only on profit but also on strategy stability.
- Choose metrics depending on your goals: for long-term trading, drawdown is important; for short-term trading, execution speed matters.
- Regularly compare the robot’s results with benchmarks such as market indices.