This indicator is designed to provide in-depth analysis of volume data from multiple sources and distinguish highly liquid candles by measuring the density of the volume. By focusing on the density and concentration of volume, rather than just the volume itself, it offers a more nuanced view of the market. This can be particularly beneficial in markets like...
This indicator combines Kaufman Efficiency Ratio (KER) and Price Density theories to create a unique market noise filter that is 'right on time' compared to using KER or Price Density alone. All data is normalized and merged into a single output. Additionally, this indicator provides the ability to consider background noise and background noise buoyancy to allow...
Probability Distribution Histogram During data exploration it is often useful to plot the distribution of the data one is exploring. This indicator plots the distribution of data between different bins. Essentially, what we do is we look at the min and max of the entire data set to determine its range. When we have the range of the data, we decide how many...
a test case for the KDE function on price delta. the KDE function can be used to quickly check or confirm edge cases of the trading systems conditionals.
Since we don't have tick count per time interval, let's do it this way. Basically "bigger the move bigger the volume" rule applies in most times, making volume alone kinda useless. What is more interesting, is when there was a huge volume within a relatively small range, or vice versa, a huge move without equally increased volume. Without diving into details,...