This Indicator not only estimates what it thinks may be the PRICE for the Start, High and Low of the Halving, but likewise estimates WHEN the Start, High and Low of Halving may be. It then creates Trend Lines based on these predictions so that you may get an evaluation towards if the Price is currently Overbought or Oversold. These Trend Lines may be very useful...
Extreme Fundamental Prices is developed for Stock Markets to see the optimum, estimated and extreme estimated prices of any stocks on any markets. It works globally. Every country has different inflation, interest and deposit interest rates. The indicator consider these difference and it adopts itself automatically for chosen stock. Only the "Deposit Interest...
What is Faytterro Estimator? This indicator is an advanced moving average. What it does? This indicator is both a moving average and at the same time, it predicts the future values that the price may take based on the values it has taken before. How it does it? takes the weighted average of data of the selected length (reducing the weight from the middle to the...
Hodrick-Prescott Extrapolation of Price is a Hodrick-Prescott filter used to extrapolate price. The distinctive feature of the Hodrick-Prescott filter is that it does not delay. It is calculated by minimizing the objective function. F = Sum((y(i) - x(i))^2,i=0..n-1) + lambda*Sum((y(i+1)+y(i-1)-2*y(i))^2,i=1..n-2) where x() - prices, y() - filter values....
This plot helps you to show estimate earnings , reported earnings , and surprise earnings of a company inside a chart. Estimate earnings is the projection of earnings of a company by the analysts for a given period of time. Earnings is a company's reported profits (or sometimes a loss if going negative) in a given quarter or fiscal year. Surprise...
Introduction The Hull moving average (HMA) developed by Alan Hull is one of the many moving averages that aim to reduce lag while providing effective smoothing. The HMA make use of 3 linearly weighted (WMA) moving averages, with respective periods p/2 , p and √p , this involve three convolutions, which affect computation time, a more efficient version exist...
Introduction It was one of my most requested post, so here you have it, today i present a way to estimate an LSMA of any degree by using a kernel based on a sine wave series, note that this is originally a paper that i posted that you can find here figshare.com , in the paper you will be able to find the frequency response of the filter as well as both python...
Introduction The standard deviation measure the dispersion of a data set, in short this metric will tell you if your data is on average closer or farther away from the mean. Its one of the most important tools in statistics and living without it is pretty much impossible, without it you can forget about Bollinger-bands, CCI, and even the LSMA (ouch this hurt)...
Introduction This indicator was asked and named by a trading meetup participant in Sevilla. The original question was "How to estimate the correlation between the price and a line as easy as possible", a question who got little attention. I previously proposed a correlation estimate using a modification of the standard score (see at the end of the post) for...