Statistical methods based on mean cannot be effective all the time when attributed to financial data since it doesn't usually follow normal distribution, the data can be skewed or/and have extreme values which can be described as outliers.
In order to deal with this problem it is appropriate to use median-based techniques.
The most common one is called...
Indicator identifies potential price trend exhaustion.
Compares this period against the 4th prior period for the condition.
9 periods (or more) with the same condition is an indicator that the trend is ending soon.
These are my "Pseudo-Random Number Generators via Pine Script", having uniform distribution between 0 and 1. In my quest for sequential pseudo-random numbers in Pine, tinkering with mathematical chaos, I have come up with these three simple yet handy generators. I believe these may be useful in the future by developers of the Tradingview community.
Function - Number of digits before and after the decimal point
Detect the number of digits in integers and floats, before the decimal and after it.
It also works for negative numbers.
There are some rounding issues, but the currently maximum supported number can have safely up to 3 digits after the decimal point.
Just thought some might find it useful to have a script of the first 7 numbers that are both fibonacci and that are prime numbers as simple moving averages and as exponential averages.
If anyone wants any other average type added to this script I can put out another version
//Strategy based on the idea that stop loss and take profit are often placed at full price levels or round numbers, whcih acts as resistance and supports levels
//Actual price (close) is above round number.
//Round number level was not touched in previous ten bars (arbitrary value).
//Place a buy and follow the order with a trail step because price...
Welcome to Pine Script Tutorial #4
This is more complex than the previous 3 tutorials. This one builds upon the first 3 tutorials.
What does this code do?: It plots on a histogram (at the bottom), the difference between closest round number and the close. So for example 84 -close = 16 pips. It shows the 16 pips on the histogram.
First off, it is actually Two...
Sometimes the market data follows normal distribution, in these cases it is more appropriate to utilize mean-based statistical techniques. This script plots the special case of seven-number summary with 1st, 2nd & 3rd standard deviations below and above the mean.
It also has "Log-space" switch which should be checked while using logarithmic scale.