Indicator
Elliott Wave [LuxAlgo]The Elliott Wave indicator allows users to detect Elliott Wave (EW) impulses as well as corrective segments automatically on the chart. These are detected and displayed serially, allowing users to keep track of the evolution of an impulse or corrective wave.
Fibonacci retracements constructed from detected impulse waves are also included.
This script additionally allows users to get alerted on a wide variety of trigger conditions (see the ALERTS section below).
🔶 SETTINGS
🔹 Source
• "high" -> options high, close, maximum of open/close
• "low" -> options low, close, minimum of open/close
🔹 ZigZag
• The source and length are used to check whether a new Pivot Point is found.
Example:
• source = high/low, length = 10:
• There is a new pivot high when:
- previous high is higher than current high
- the highs of 10 bars prior to previous high are all lower
• These pivot points are used to form the ZigZag lines, which in their turn are used for pattern recognition
🔶 USAGE
The basic principles we use to identify Elliott Wave impulses are:
• A movement in the direction of the trend ( Motive/Impulse wave ) is divided in 5 waves (Wave 1 -> 5)
• The Corrective Wave (against the trend) is divided in 3 waves (Wave A -> C)
• The waves can be subdivided in smaller waves
• Wave 2 can’t retrace more than the beginning of Wave 1
• Wave 4 does not overlap with the price territory of Wave 1
Here we see an example:
Let's look at the development:
• 1 bar after point (5) a confirmed 5 Motive Wave pattern is found (1 -> 5; The 5 Waves can also be seen as one large Wave 1 ).
• Next, the script draws a set of Fibonacci lines, which are area's where the Corrective Wave potentially will bounce.
Here we see the fifth wave is getting larger, the previous highest point is updated, and the Wave 5 is larger than Wave 3 :
(At this point, the pattern is invalidated, and it display as dotted)
Further progression in time:
At this point, a confirmed " 3 Corrective Wave pattern " is found (a -> c)
When a new high has developed, a circle is drawn (in the same color of the lines)
However, when the bottom of the drawn box has breached, a red cross will be visualized.
Further progression:
Later on, a bearish confirmed " 5 Motive Wave pattern " is found (1 -> 5):
When a Corrective Wave becomes invalidated, the ABC pattern will display as dashed (not dotted):
🔶 TECHNIQUES
Pine Script™ introduces methods!
• More information can be found here:
• Pine Script™ v5 User Manual 👉 Methods
• Pine Script™ language reference manual 👉 method
🔶 ALERTS
Dynamic alerts are included in the script, you only need to set 1 alert to receive following messages:
• When a new EW Motive Pattern is found (Bullish/Bearish )
• When a new EW Corrective Pattern is found (Bullish/Bearish )
• When an EW Motive Pattern is invalidated (Bullish/Bearish )
• When an EW Corrective Pattern is invalidated (Bullish/Bearish )
• When possible, a start of a new EW Motive Wave is found (Bullish/Bearish )
• Here is information how you can set these alerts() Indicator
Sinusoidal High Pass Filter (SHPF)Sinusoidal High Pass Filter
This script implements a sinusoidal high pass filter, which is a type of digital filter that is used to remove low frequency components from a signal. The filter is defined by a series of weights that are applied to the input data, with the weights being determined by a sinusoidal function. The resulting filtered signal is then plotted on a chart, allowing the user to visualize the effect of the filter on the original signal.
The script begins by defining the sinusoidal_hpf function, which takes three arguments: _series, _period, and _phase_shift. The _series argument is the input data series that will be filtered, and the _period argument determines the length of the filter. The _phase_shift argument is an optional parameter that allows the user to adjust the phase of the sinusoidal function that is used to calculate the filter weights.
The function then initializes a variable ma to 0.0, and loops through each data point in the input series, starting from the most recent and going back in time for the specified _period number of points. For each data point, the function calculates a weight using a sinusoidal function, and adds the weighted data point to the ma variable. Finally, the function returns the average of the weighted data points by dividing ma by the _period.
The script also includes user input fields for the Length and Phase Shift parameters, which allows the user to customize the filter according to their specific needs. The filtered signal is then plotted on a chart, along with a reference line at 0.
Overall, this script provides a useful tool for analyzing and processing financial data, and can be easily customized to fit the needs of the user. Indicator
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