When prices begin to range away from the mean when dealing with up trending movements, power is lost in many indicators. When this happens, it usually means that price is currently in a bubble. In contrast to a ticker like the
SPX
price usually doesn't behave in this manner. It's actually quite easy to understand why this is the case. If one was to make Monte Carlo simulations using a geometric Brownian motion, you would see some processes behave in a manner of a bubble. But if we take the aggregate of all movements and average them, or calculate a present value, the value tends to be around the center.
Well an index does quite the same but through different methods. By aggregating important tickers, they form an average based on different criteria, therefore are more susceptible to following the central limit theorem. Meanwhile, individual stocks, commodities or cryptocurrencies are more susceptible to violent movements which completely ignore technical indicators. This has led me to believe that the more a ticker is dependent on external factors the more it will follow traditional statistical and probabilistic methods. I have no proof for this claim, It's just what I believe based on experience.
When looking at central metric indicators, it's important to conciser there are two point in which these become unreliable. When price action completely ignores your distribution, such as it does here. And when the price is consolidating in the mean. When prices consolidates in the mean, it can be seen as a reset or as a very serious sign something is wrong. However, when minimums become unreliable then that is when one should really be scared, because that means something is seriously wrong. I will look for examples of this for you in the future.
When prices behave in this manner, I don't feel confident making predictions because when a ticker is more susceptible to speculation then price action behaves erratically and patterns become harder to find.
SPX
price usually doesn't behave in this manner. It's actually quite easy to understand why this is the case. If one was to make Monte Carlo simulations using a geometric Brownian motion, you would see some processes behave in a manner of a bubble. But if we take the aggregate of all movements and average them, or calculate a present value, the value tends to be around the center. Well an index does quite the same but through different methods. By aggregating important tickers, they form an average based on different criteria, therefore are more susceptible to following the central limit theorem. Meanwhile, individual stocks, commodities or cryptocurrencies are more susceptible to violent movements which completely ignore technical indicators. This has led me to believe that the more a ticker is dependent on external factors the more it will follow traditional statistical and probabilistic methods. I have no proof for this claim, It's just what I believe based on experience.
When looking at central metric indicators, it's important to conciser there are two point in which these become unreliable. When price action completely ignores your distribution, such as it does here. And when the price is consolidating in the mean. When prices consolidates in the mean, it can be seen as a reset or as a very serious sign something is wrong. However, when minimums become unreliable then that is when one should really be scared, because that means something is seriously wrong. I will look for examples of this for you in the future.
When prices behave in this manner, I don't feel confident making predictions because when a ticker is more susceptible to speculation then price action behaves erratically and patterns become harder to find.
