# Comparing values of indicator between different stocks

I would like to ask whether there is a good way of analysing stock indicators that have no value limitations. For indicators like RSI we have a closed range ( 0 - 100 ) but in case of indicators like for example OBV we may have two stocks that have 10000000 and 1000 value of this indicator respectively in the same period of time. Does it make sense to discretize values of such indicators, by creating the same range (for example from 0 to 100) for each stock or it is completely senseless?

• Thinking about this concern from a more statistical POV may help. For example your statement about RSI having "a closed range" can be expressed in statistical terms as "RSI is standardardized to fall in a range between 0 and 100." Similarly for the OBV values of the two stocks -- expressing their OBVs as a rate per something would normalize their values, thereby making them comparable between stocks. @michaelhartman (below) has suggestions regarding how to best do that. – DJohnson May 28 '18 at 12:28
• A common trick in Statistics (actually the foundation of Nonparametric Statistics) is to replace the observations by their rank. So you might look at the cross-sectional rank of OBV rather than OBV iitself, and fr example you might buy stocks with "OBV in top quartile" rather than OBV above a fixed value. – Alex C May 28 '18 at 14:22