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Linear Price Scales: Definition, Application, Pros & Cons

Last updated 02/08/2024 by

Alessandra Nicole

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Summary:
Linear price scales, also known as arithmetic scales, represent an asset’s price on a chart with equidistant spacing between price marks on the y-axis. Unlike logarithmic scales, which depict percentage changes, linear scales show changes in absolute terms, making them easier to interpret for some traders. This article explores the workings of linear price scales, their comparison with logarithmic scales, and their implications for chart analysis.
Linear price scales are a fundamental tool used by traders in financial markets to visualize price movements on charts. Understanding how linear price scales work is essential for interpreting price trends accurately. In this article, we delve into the intricacies of linear price scales, exploring their features, differences from logarithmic scales, and practical implications for chart analysis.

How linear price scales work

Linear price scales, also referred to as arithmetic scales, present an asset’s price on a chart using equidistant spacing between price marks on the y-axis. Unlike logarithmic scales, which depict percentage changes, linear scales represent changes in absolute terms. Let’s delve deeper into how linear price scales function and their significance in chart analysis.

Linear price scales vs. logarithmic price scales

Linear and logarithmic price scales are two common types of charts used in the financial industry. While linear scales plot price changes with each unit change corresponding to a constant value, logarithmic scales depict percentage changes. This distinction is crucial for traders as it impacts how price movements are interpreted on charts. Let’s compare linear and logarithmic price scales to understand their differences and implications.

Practical applications of linear price scales

Linear price scales play a vital role in technical analysis, aiding traders in identifying trends, support and resistance levels, and potential entry or exit points. By visualizing price movements on linear charts, traders can make informed decisions regarding their trading strategies. Let’s explore practical applications of linear price scales in chart analysis.

Example of a linear price scale

A linear price scale is characterized by equidistant spacing between price marks on the y-axis, regardless of the asset’s price level. This means that a $5 price movement will appear the same distance on the scale, irrespective of whether the asset’s price is $10 or $50. Understanding this example elucidates the concept of linear price scales and their implications for chart interpretation.
WEIGH THE RISKS AND BENEFITS
Here is a list of the benefits and drawbacks to consider.
Pros
  • Simple and easy to understand
  • Useful for short-term analysis
  • Clear depiction of absolute price movements
Cons
  • Does not account for percentage changes
  • May distort the significance of price movements at different levels
  • Less effective for long-term analysis

Frequently asked questions

How do linear price scales differ from logarithmic scales?

Linear price scales represent price changes in absolute terms, using equidistant spacing between price marks. Logarithmic scales, on the other hand, depict percentage changes, adjusting the scale based on the magnitude of price movements.

What are the practical implications of using linear price scales?

Linear price scales provide a straightforward visualization of price movements, making them easier to interpret for some traders. However, they may not accurately reflect the significance of price changes, particularly for assets with varying price levels.

Key takeaways

  • Linear price scales represent an asset’s price on a chart with equidistant spacing between price marks.
  • They depict price changes in absolute terms, making them easier to interpret compared to logarithmic scales.
  • Understanding the differences between linear and logarithmic scales is essential for accurate chart analysis.
  • Linear price scales play a vital role in technical analysis, aiding traders in identifying trends and potential trading opportunities.

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