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LN

Type: ln • Category: indicators

Description

Vector Log Natural

Parameters

NameTypeDescriptionRequiredDefault
dataExpstringInput datano
realstringData column to apply the calculation to (e.g., closing price)no

Help

LN (Vector Log Natural)

Description

The LN worker is a financial analysis indicator that calculates the natural logarithm of a specified data column. This indicator is commonly used in technical analysis to normalize data and make it more manageable.

What does this worker do?

The LN worker takes an input data set (dataExp) and applies the natural logarithm calculation to a specified column (real). The result is a new data set with the logarithmic values.

How to interpret the results

The natural logarithm calculation compresses the scale of the data, making it easier to analyze and visualize. This can be particularly useful when dealing with large price movements or exponential growth.

Usage

To use the LN worker, simply provide the input data (dataExp) and specify the column to apply the calculation to (real). The worker will return a new data set with the logarithmic values.

Example Usage

For example, if you have a data set with a column for closing prices, you can use the LN worker to calculate the natural logarithm of these prices.

Indicator Visuals

For a visual representation of how to use the LN worker, please see the following GIFs:

Full GIF

[![Full GIF](https://pub-6c7cc7f707d94ca98153d59a039b9a3d.r2.dev/indicator_full.gif)](https://pub-6c7cc7f707d94ca98153d59a039b9a3d.r2.dev/indicator_full.gif)

Short GIF

[![Short GIF](https://pub-6c7cc7f707d94ca98153d59a039b9a3d.r2.dev/indicator_short.gif)](https://pub-6c7cc7f707d94ca98153d59a039b9a3d.r2.dev/indicator_short.gif)

Additional Information

The natural logarithm is a fundamental concept in mathematics and is widely used in finance and economics. It has several useful properties, including:

  • The natural logarithm is a monotonic increasing function, meaning that it preserves the ordering of the data.
  • The natural logarithm is a continuous function, making it suitable for use in mathematical models.

By applying the natural logarithm to financial data, analysts can:

  • Reduce the effect of extreme values
  • Improve the stability of statistical models
  • Enhance the interpretability of results

Parameters

  • dataExp: Input data
  • real: Data column to apply the calculation to (e.g., closing price)