Why is high-quality data important in Fincanva?

In Fincanva, the reliability of your simulations—and the confidence you have in your strategies—depend entirely on the quality of the underlying data. High-quality data is the foundation for building accurate, realistic, and actionable investment insights.

• Simulations are only as good as their data: Even the most sophisticated strategy can produce misleading results if tested on incomplete, incorrect, or biased data.

• Avoids common data pitfalls: Clean and properly timestamped data helps eliminate issues like survivorship bias, look-ahead bias, and missing values, which could otherwise distort backtest results.

• Reflects real-world conditions: Fincanva uses historical data as it was known at the time, ensuring that simulations test strategies on the actual information investors would’ve had—without hindsight.

• Enables objective decision-making: Accurate and timely data allows you to base your investment strategies on facts rather than assumptions or retroactive adjustments.

By prioritizing high-quality data, Fincanva ensures that your results are trustworthy and that your portfolio decisions are built on a solid, unbiased foundation.