OBV Z-ScoresThis study calculates the On-Balance Volume (OBV) and displays it in terms of its Z-Score.
OBV is a great momentum indicator . As the name suggests, OBV predicts changes in price based on the security's volume flow.
Formula:
if (Current Price > Previous Price)
then Current OBV = Previous OBV + Current Volume
if (Current Price < Previous Price)
then Current OBV = Previous OBV - Current Volume
if (Current Price == Previous Price)
then Current OBV = Previous OBV
As the formula shows, the OBV goes a step beyond just looking at the pure volume of a security. Instead, it factors in relative price action from period to period to reflect investor sentiment. As a result, we often look to the OBV to spot bullish or bearish trends while they are in the early stages of development or simply predict impending uptrends or downtrends.
To make the OBV easier to visualize, we converted the value to a Z-Score. The Z-Score is a simple statistical measurement and represents the current OBV value's distance from the mean OBV value in terms of # of standard deviations.
Users can adjust the values for the 2 upper bounds for Z Scores and 2 lower bounds. Additionally, the n value for z score calculation can be adjusted in the input menu. A higher n value means the z score will be based on a longer lookback period. A lower value will result in more sensitive readings.
Overall, I think this is an interesting way to represent OBV values and will be a valuable leading indicator.
~Happy Trading~
Zscore
Multi Z Score [DW]This is an experimental study using z scores of multiple sampling periods to analyze price trends.
Z score measures the number of standard deviations price is from its mean.
In this study, z scores are calculated over a Fibonacci sequence of sampling periods from 3 to 4181.
The scores are then averaged with equal weighting, resulting in a display of long term trend with short term sensitivity.
Custom bar colors are included. The color scheme is based on the perceived trend from the average z score.
Z-Score (Close)A Z-score is a numerical measurement of a value's relationship to the mean in a group of values. If a Z-score is 0, it represents the score as identical to the mean score.
Z-scores may also be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean. Positive and negative scores also reveal the number of standard deviations that the score is either above or below the mean.
Z distance from VWAP [LazyBear]This calculates normal distance of price from VWAP. This is a mean reverting idea (something like ZScore), but using both "volume" and "close".
Useful for finding OB/OS areas and potential turning points.
Complete list of my indicators:
