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The TipRanks Smart Score performance is a tool used to analyze the potential impact of a buyback strategy on share value. It is important to note that backtested results, which form the basis of this analysis, do not guarantee future actual results. Backtested performance is calculated by applying a model based on historical data, making certain assumptions that may or may not be testable, and are subject to losses.

Assumptions such as the ability of a firm to purchase recommended securities and the liquidity of the markets can significantly impact the backtested returns presented. These assumptions are made for modeling purposes and may not necessarily be realized in practice. Therefore, it is crucial to understand that backtested performance has limitations and should be viewed as illustrative rather than definitive.

It is also important to consider that backtested results do not account for actual trading or the influence of economic and market factors on decision-making processes. Without the execution of trades, the impact of market factors such as lack of liquidity may not be accurately reflected in the results. Additionally, backtesting allows for adjustments to the security selection methodology to maximize past returns, which may not translate to actual performance.

When interpreting backtested results, it is essential to understand that they are typically presented gross-of fees and do not include the effect of transaction costs, management fees, performance fees, or expenses. Regulatory considerations regarding fee presentation must also be taken into account. Furthermore, the calculation does not include cash balance or cash flow, which can have a significant impact on overall performance.

In conclusion, while the TipRanks Smart Score performance provides valuable insights into the potential impact of a buyback strategy on share value, it is crucial to approach backtested results with caution. Understanding the limitations and assumptions underlying the analysis is key to making informed investment decisions based on this information.