Backtesting Fundamentals

1. What is the primary purpose of backtesting a trading strategy?

Predict future market prices Evaluate performance using historical data Execute live trades Optimize strategy parameters

2. Which of the following are common pitfalls in backtesting?

Overfitting Look-ahead bias Ignoring transaction costs Using out-of-sample data

3. Backtesting results can perfectly predict a strategy's future performance.

True False

4. What term describes the error when a backtest uses data that was not available at the time of the trade decision?

5. Which type of data is most critical for a reliable backtest?

Real-time streaming data Clean, high-quality historical data Randomly generated synthetic data Analyst price targets

6. Which components are essential for a comprehensive backtest?

Clearly defined entry/exit rules Transaction cost model Risk management rules Future earnings reports

7. Overfitting occurs when a strategy is overly complex and performs well on historical data but poorly on new data.

True False

8. What is the process of testing a strategy on data not used during its development called?

9. Which metric is commonly used to measure a backtest's risk-adjusted return?

Sharpe ratio Total return Maximum drawdown Win rate

10. How can backtest reliability be improved?

Including realistic slippage and fees Using a longer historical data period Avoiding curve-fitting to past data Testing only during bull markets

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