Point and Figure Package
Returns the lower bound value for a given boxnumber
Returns the upper bound value for a given boxnumber
This function identifies chart signals in an [0,100]-Points Bullish Pe...
Identifiy for a given P&F Table the current vertical price objective t...
Identifiy for a given P&F Table the current vertical price objective t...
returns true if given column c matches exactly previous column of same...
Returns true if given column c matches exactly previous column of same...
Returns true if given column c drops below prevois column of same type...
returns true if given column c drops below previous column of same typ...
Determine an appropriate boxsize, if you want to use logarithmic scale...
Returns the maximum box number in given column
Returns the minimum box number in given column
Determine the next box frontier for current quote(s) given a recent XO...
Determine the next reversal frontier for current quote(s) given a rece...
Generate a modern point and figure plot
Generate a classical TXT point and figure plot.
Generate all point and figure informations for a given time series.
Converts a single or a vector of quotes into integer boxnumbers for P&...
Determines the boxnumber for a given tuple of quotes,status,boxsize an...
Scales a quote. In case log==TRUE this is logarithmic scale, original ...
returns true if given column c exceeds prevois column of same type (th...
Returns true if given column c exceeds previous column of same type (t...
rpnf - The R Point & Figure Package
This function analyzes a (preliminary) P&F Chart for Bullish Support L...
Rescales a scaled quote to original scale.
analyze transitions of signal states
This function adds Vertical Price Objectives calculated with the Bulli...
Determine the XO development of a given time series.
Analyzes a given PNF time-series for Buy&Sell patterns
A set of functions to analyze and print the development of a commodity using the Point and Figure (P&F) approach. A P&F processor can be used to calculate daily statistics for the time series. These statistics can be used for deeper investigations as well as to create plots. Plots can be generated as well known X/O Plots in plain text format, and additionally in a more graphical format.