Bullish Percent Index for .NET
Author: Cone
Creation Date: 1/14/2009 3:28 PM
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Cone

#1
BPI is a useful sentiment indicator based on market action. It represents the percentage of the DataSet symbols whose last Point and Figure signal was a "double-top buy". Extreme readings indicate significant market peaks and troughs.

The parameter defaults use the Log method with a 2.5% box size and 3 reversal boxes, which is a 7.5% P&F reversal. The log method is definitely the preferred P&F method for BPI since you're dealing with stocks that have widely varied price ranges.

I'll eventually add this code to the Programmming Guide in the Backtesting with ChartStyles.Trending > Column Class (Reference) > Point and Figure section.


CODE:
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DartboardTrader

#2
Hi Cone,

Excellent example!
It should be noted this BullishPercentIndex does not use the same calculation as the stockcharts.com $BPNYA symbol.

In the WL5.1 editor, I wish it would display the methods when I '.' the class object for the TPnF and related class, like the other indicators.

--Mike
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Cone

#3
QUOTE:
does not use the same calculation
Considering I don't know what $BPNYA is, I'd assume it's is different than what you get with the code above. However, the "calculation" gives you the Bullish Percent Index as defined in "The Definitive Guide to Point and Figure" by Jeremy du Plessis.

There are several variables (linear vs. percentage, box size, number of boxes, etc.) that will give you different results too. Further note that the absolute correct way of keeping BPI is to keep track of it to use a dynamic index list that represents the actual index symbols over the historical period. Practically speaking, however, I don't think that's required.
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ksarkar77

#4
Hello Cone,

Thanks for this example. Is it possible to plot the BPI value as P&F chart in Wealthlab?

Thanks
Kuntal
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Cone

#5
Since ChartStyles like P&F operate on the charted symbol, the straightforward way would be to export BPI to an ASCII file and then create a DataSet with it.

Since BPI itself is based on combining P&F data from index constituents, what does a P&F BPI do for us?
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