http://sharadhiinfotech.com/data-room-for-healthcare-online-management/
Despite its many advantages ma analysis isn’t easy to master. In the process, errors can result in inaccurate results with serious consequences. Recognizing these mistakes and avoiding them is essential to unlock the full potential of data-driven decision making. Most of these errors result from omissions or misinterpretations. These errors can easily be rectified when you establish specific goals and promote accuracy over speed.
Another mistake that is common is to assume that a variable has a normal distribution when it doesn’t. This can result in over- or under-fitting their models, which can result in a decrease in the confidence levels and intervals of prediction. Furthermore, it could result in leakage between the test and training set.
It is crucial to pick an MA method that is compatible with your trading style. An SMA is best for markets that are trending, whereas an EMA is more reactive. (It eliminates the lag in the SMA because it gives priority to the most recent data.) The MA parameter should be carefully selected based on whether you are seeking either a short-term or long-term trend. (The 200 EMA is suitable for a longer period of time).
It’s important to double-check your work prior to submitting it for review. This is especially important when dealing with large quantities of data, since mistakes are more likely to occur. You could also ask an employee or supervisor look over your work to help discover any errors you may have missed.