Backtesting
Last updated
Last updated
Backtesting Strategy
Backtesting is an essential step in the systematic portfolio management process, offering investors insights into how their investment strategies would have performed historically. Our Backtesting module utilizes powerful statistical algorithms to simulate the execution of your tailored investment strategy on past financial data, providing a data-driven basis to anticipate potential future performance.
Our Backtesting employs historical simulation to provide a realistic perspective on how an investment strategy would have performed over time. It accounts for periods of market volatility, economic cycles, and major financial events to offer a comprehensive analysis of strategy resilience.
By comparing the historical performance of various weighting strategies, from Equal Weighting to Maximum Diversification, investors can validate the robustness of their chosen approach. This validation helps in refining strategies to better suit risk tolerances and return objectives.
The backtesting process also involves a thorough risk assessment, allowing investors to see not just the returns but also the potential risks involved with their investment strategy over time. Metrics such as maximum drawdown, volatility, and Sharpe ratio are used to quantify risk.
We provide a suite of performance metrics that detail the gains, losses, risk-adjusted returns, and other key indicators of the portfolio's past performance. These metrics are critical for assessing the effectiveness of the chosen asset allocation and weighting strategies
