Concept Probability Cone
The Concept Probability Cone is a mathematical indicator designed to demonstrate the potential price range of an asset based on its historical volatility and statistical probabilities. Unlike most publicly available probability cone scripts, which often contain inaccuracies and oversimplifications, this tool is developed with a strong focus on precision and accuracy. It is important to note, however, that the Concept Probability Cone is currently in its initial stage, and further improvements and refinements may be introduced over time.
One significant difference between the Concept Probability Cone and other publicly available scripts is the incorporation of inverse Cumulative Distribution Functions (CDFs) in its calculations. Inverse CDFs are used to map a random variable's probability distribution to its corresponding quantile, which helps in determining the asset's price boundaries with a higher level of precision. This key feature sets the Concept Probability Cone apart from other tools, addressing the flaws found in many existing probability cone scripts.
This is a proof of concept indicator. Users are encouraged to play around with the tool, explore its features, and gain a deeper understanding of the statistical principles it demonstrates.
One significant difference between the Concept Probability Cone and other publicly available scripts is the incorporation of inverse Cumulative Distribution Functions (CDFs) in its calculations. Inverse CDFs are used to map a random variable's probability distribution to its corresponding quantile, which helps in determining the asset's price boundaries with a higher level of precision. This key feature sets the Concept Probability Cone apart from other tools, addressing the flaws found in many existing probability cone scripts.
This is a proof of concept indicator. Users are encouraged to play around with the tool, explore its features, and gain a deeper understanding of the statistical principles it demonstrates.