Strategies published in journal papers like SMB, HML, UMD have annualized sharpe ratios around 0.5. These long-short portfolios are formed with monthly rebalance. People who backtest some daily rebalancing strategies usually claim annualized sharpe ratio that is above imaginable like above 3. How is this frequency of trading affect this? From what I can recall, if returns are iid, one can simply multiply your sample average daily return over sample daily standard deviation of your return by $\sqrt{365}$ to get the annualized shape. Mean grows as horizon increases at a speed of T, and std grows at speed of sqrt T. That is where this number come from.
Is it fair to compare strategies with different rebalancing period by sharpe ratio? How come a strategy that is backtested to perform this well exist, assuming there is some rationale behind it not just pure data mining?