Swing Highs/Lows & Candle Patterns [LuxAlgo]This script labels swing highs and swing lows as well as the candle pattern that occurred at that precise point. The script can detect the following 6 candle patterns: hammer, inverse hammer, bullish engulfing, hanging man, shooting star, and bearish engulfing.
This indicator by its very nature backpaints by default, meaning that the displayed components are offset in the past.
🔶 USAGE
It can be interesting to see if a top or bottom is associated with a specific candle pattern, this allows us to study the potential of such a pattern to indicate a reversal. You can hover on a label with a specific pattern to see more details about it.
The notations HH, HL, LH, and LL you can see on the labels are defined as follows:
HH : Higher high
HL : Higher low
LH : Lower high
LL : Lower low
🔶 SETTING
Length: Sensitivity of the swing high/low detection, with lower values returning the maximum/minimum of shorter-term price variations.
LUX
Percentile Nearest Rank Using Arrays [LuxAlgo]The new array feature is extremely powerful, as it will allow pinescript users to do more complex things, or compute existing calculations more efficiently, it will also be possible to shine some light to some already existing functions, one of them being percentile_nearest_rank .
We have been working on this new feature with our pal alexgrover, and made this script which computes a rolling percentile using the nearest rank method.
Settings
Length: Window of the rolling percentile, determine the number of past data to be used.
Percentage: Return the current value if Percentage % of the data fall below that value, the setting is in a range (0,100).
Src: Input source of the indicator.
Usage
A rolling percentile can have many usages when it comes to technical analysis, this is due to its ability to return the value of three common rolling statistics, the rolling median, which can be obtained using a percentage equal to 50, the rolling maximum, obtained with a percentage equal to 100, and the rolling minimum, obtained with a percentage equal to 0.
When we use our rolling percentile as a rolling median, we can obtain a robust estimation of the underlying trend in the price, while using it as a rolling maximum/minimum can allow us to determine if the market is trending, and at which direction. The rolling maximum/minimum is a rolling statistic used to calculate the well known stochastic oscillator and Donchian channel indicator.
We can also compute rolling quartiles, which can be obtained using a percentage of 25 or 75, with one of 25 returning the lower quartile and 75 the upper quartile.
In blue the upper rolling quartile (%75), in orange the lower rolling quartile (%25), both using a window size of 100.
Details
In order to compute a rolling percentile nearest rank, we must first take the most recent length closing prices, then order them in ascending order, we then return the value of the ordered observations at index (percentage/100*length) - 1 (we use - 1 because our array index starts at 0).
