ArcTan Oscillator [LuxAlgo]The following indicator is a normalized oscillator making use of the arc tangent sigmoid function (ArcTan), this allows to "squarify" the output result, thus visually filtering out certain variations originally in the oscillator. The magnitude of this effect can be controlled by the user. The indicator contains a gradient that shows the possibility of a reversal, with red colors indicating that a reversal might occur.
Settings
Length : Period of the oscillator
Pre-Gain : Changes the amplitude of the oscillator before passing through the ArcTan function, this allows to amplify/reduce the "squarification" effect introduced by this function. In order to make it easier for the user, the setting is in a (-10,10) range, with negative values reducing the amplitude and positive one increasing it.
Src : Source input of the indicator
Usage
The oscillator can be used to determine the direction of the trend by looking at its sign, if the oscillator is positive, market is up-trending, else down-trending, based on this usage the user might not be interested to look at every variations produced by the oscillator, this is where the hyperbolic tangent function and pre-gain setting can be useful, by using an high value of pre-gain the user will be able to only focus on the sign of the oscillator.
Here pre-gain is set to 5, we can see that the oscillator is now easier to visualize. However, the use of sigmoid functions remove useful information for a trader that needs to find divergences, this is where using a negative value of the pre-gain setting will result useful.
Here pre-gain is set to -5.
The indicator makes use of a gradient to show potential reversals, this gradient is determined by the correlation between the oscillator and the price (this is a way to measure potential divergences). If the color is closer to red it means that a potential reversal might occur, it is possible to say in which direction price might go by looking at the sign of the oscillator, so if the gradient is red and the oscillator is negative price might rise. The gradient is not affected by the pre-gain setting.
Luxalgo
Support and Resistance Levels with Breaks [LuxAlgo]This script provides basic pivot point Support and Resistance Levels to the user whilst displaying Break signal tags. It also has the ability to let the user display more significant breaks by filtering using the Volume Oscillator.
Only more significant breaks of these basic levels are displayed to the user when optimized which avoids noise and messy signals.
It will also display breaks with candles it deems to be bullish (e.g. having a longer upper or lower wick).
Notation
The notation of "B" denotes a break of either a Support or Resistance level with a volume greater than the threshold.
The notation of "Bull or Bear Wick" denotes a bullish or bearish candle on the break.
Settings:
Left Bars - the number of bars left hand side of the pivot.
Right Bars - the number of bars right hand side of the pivot.
Volume Threshold - the threshold value (%) for the Volume Oscillator.
Usage & Details:
Knowing when a pivot S/R level is broken with significance can be of great help to a trader. Many times significant levels may not be broken with significant force and the move is therefore weaker and possibly not worth trading.
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.
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).
