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Hilbert Transform Instantaneous Trendline

Created by John Ehlers, the Hilbert Transform Instantaneous Trendline is a 5-period trendline of high/low price that that uses classic electrical radio-frequency signal processing algorithms reduce noise. Dominant Cycle Periods information is also provided. [Discuss] 💬

chart for Hilbert Transform Instantaneous Trendline

// C# usage syntax
IEnumerable<HtlResult> results =
  quotes.GetHtTrendline();

Historical quotes requirements

You must have at least 100 periods of quotes to cover the warmup periods.

quotes is a collection of generic TQuote historical price quotes. It should have a consistent frequency (day, hour, minute, etc). See the Guide for more information.

Response

IEnumerable<HtlResult>

This method returns a time series of all available indicator values for the quotes provided.
It always returns the same number of elements as there are in the historical quotes.
It does not return a single incremental indicator value.
The first 6 periods will have null values for SmoothPrice since there’s not enough data to calculate.
The first 7 periods will have null values for DcPeriods since there is not enough data to calculate; and are generally unreliable for the first ~25 periods.

⚞ Convergence warning: The first 100 periods will have decreasing magnitude, convergence-related precision errors that can be as high as ~5% deviation in indicator values for earlier periods.

HtlResult

Date DateTime - Date from evaluated TQuote

DcPeriods int - Dominant cycle periods (smoothed)

Trendline double - HT Trendline

SmoothPrice double - Weighted moving average of (H+L)/2 price

Utilities

See Utilities and helpers for more information.

Chaining

This indicator may be generated from any chain-enabled indicator or method.

// example
var results = quotes
    .Use(CandlePart.HLC3)
    .GetHtTrendline(..);

Results can be further processed on Trendline with additional chain-enabled indicators.

// example
var results = quotes
    .GetHtTrendline(..)
    .GetRsi(..);