What is a Bayes Estimator? Bayesian estimation, or Bayesian inference, is a statistical method for estimating unknown parameters of a probability distribution based on observed data and prior knowledge about those parameters. At first , you will need a prior probability distribution, which is a prior belief about the distribution of the parameter that you are...
--------- ENGLISH --------- This is a predictive indicator ( leading indicator ) that uses Bayes' formula to calculate the conditional probability of price increases given the angular coefficient. The indicator calculates the angular coefficient and its regression and uses it to predict prices. Bayes' theorem is a fundamental result of probability theory and...
Three trend indicators in one. Fork of Gunslinger2005 indicator, with a fix to display the nQQE oscillator correctly and clearly, and converted to pinescript v5 (allowing to set a different timeframe and gaps). How to use: Essentially, nQQE is a long term trend indicator which is more adequate in daily or weekly timeframe to indicate the current market cycle....
This algo tries to tell you if the market is a trending market or a mean reversion one. By checking how many times the correlation between the last seven candles is positive or not, and it will show the evolution of the market Generally a trending market is one above 30 and short swing strategies will work better on this type of markets It also shows...
A divergence between volume and price indicator, based on custom filter function. Each lines represent a length on wich the divergence is calculated. It goes to 60 len a the base to 2000 at the high. ( You have to decrease the timeframe if your looking on a new chart). Colors represent a level of the oscillator who is calculated for each lengths. What can you...
Hello Friends,,, =================================== This indicator is based on Bayes' Theorem and is fully based on probabilities. =================================== Formula For Bayes' Theorem: P(Bull|Bear) = P(Bear∣Bull) * P(Bull) / P(Bear) where: Bull and Bear are events and P is probability P(Bull|Bear) is the posterior probability, the...
What is Probability? It is a measure for calculating the chances or the possibilities of the occurrence of a random event. In simple words, it calculates the chance of the favorable outcome amongst the entire possible outcomes. Mathematically, if you want to answer what is probability, it is defined as the ratio of the number of favorable events to the total...