Kelly criterion methods.
the kelly criterion helps with the decision of how much one should invest in
a asset as long as you know the odds and expected return of said asset.
simplified version of the kelly criterion formula.
win_p : float, probability of winning.
rr : float,...
"In time series analysis, dynamic time warping (DTW) is an algorithm for
measuring similarity between two temporal sequences, which may vary in
speed. For instance, similarities in walking could be detected using DTW,
even if one person was walking faster than the other, or if there were
accelerations and decelerations...
Counts the word or integer number pattern frequency on a array.
counts the number a pattern is repeated.
pattern : : array : array with patterns to be counted.
array : list of unique patterns.
array : list of counters per...
This script uses a reverse function of the famous Ehler Instantaneous Trendline to calculate the source price required in order to change from Bullish to bearish
From my analysis, the reverse price does appear to be rather choppy, though it is 100% accurate. This is because Ehler's Instantaneous Trendline tends to remain trending for longer periods of time with...
Method for retrieving the unique elements in a array.
for example would retrieve a array with ,
the elements retrieved will be sorted by its first seen index in
note: float values have no precision option.
method for retrieving the unique elements in a array.
source : array...
Provides unbound methods (no error checking) to parse a string into a float or int matrix.
to_matrix_float(str, interval_sep, start_tk, end_tk)
Parse a string into a float matrix.
str : , string, the formated string to parse.
interval_sep : , string, cell interval separator token.
start_tk : ,...
This indicator provides some base code for looping over data to identify swings in price action. Full code commentary can be found on the backtest rookies website.
The indicator shall allow users to "analyse" a recent historical candle to detect whether it was a swing point. This will work by inputting a number to select which historical candle you want to...
Hi fellow traders..
Happy to share a Linear Regression & RSI Multi-Function Custom Screener with Table-Labels...
The Screener scans for Linear Regression 2-SD Breakouts and RSI OB/OS levels for the coded tickers and gives Summary alerts
Uses Tables (dynamica resizing) for the scanner output instead of standard labels!
This Screener cum indicator collection has...
A Magical little helper friend for Candle Math.
When composing scripts, it is often necessary to manipulate the math around the OHLC. At times, you want a scalar (absolute) value others you want a vector (+/-). Sometimes you want the open - close and sometimes you want just the positive number of the body size. You might want it in ticks or you might want it in...
A function that returns a polynomial regression and deviation information for a data set.
_X: Array containing x data points.
_Y: Array containing y data points.
_predictions: Array with adjusted _Y values.
_max_dev: Max deviation from the mean.
_min_dev: Min deviation from the mean.
This script plots vertical lines on charts or indicators. Unfortunately pinescript is lacking a vertical line plotting function. Vertical lines are useful to mark events, such as crossover of levels, indicators signals or as a time marker.
After searching the internet for a long time and trying different scripts, this script is the simplest and visually the...
Calculates weighted mean, variance, standard deviation, MSE and RMSE from time series variables or arrays.
When calculating from arrays, the function expects index 0 to be the most recent sample and weight values.
An utility function to parse session inputs. Extracts hours, minutes and weekdays (if defined) and returns a tuple as the result.
_parseSession(sessionString) => (hourStart, minuteStart, hourEnd, minuteEnd, weekdaysArray)
Examples presented on the chart.
A Function that returns a linear regression channel using (X,Y) vector points.
_X: Array containing x data points.¹
_Y: Array containing y data points.¹
¹: _X and _Y size must match.
_predictions: Array with adjusted _Y values at _X.
_max_dev: Max deviation from the mean.