I'd like to create and offer some Quantacula extensions. Is there some documentation, tutorials, examples how extensions (besides community Indicators) are created?

Two new trend indicators by John Ehlers:

https://financial-hacker.com/petra-on-programming-a-new-zero-lag-indicator/

I don't have the original article, haven't coded them myself, but they look very interesting! Anyone else tried these yet?

I would like to try to consider a stocks seasonality, in addition to a potential technical buy signal. The idea behind this is the realtive amount of months in which an instrument has closed positive from the first to the last trading day. Additionally there should be a possibility to define a lookup-period (5 years, 10 years, 20 years etc.). How can this be realize in Quantacula without too much effort or would this be a new feature request?

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I would like to reflect the results of the chart and back test up to 6 decimal places. What should I do?

Because I use a database of stock price spreads for pair trading.

In this article we'll focus on how to work with trend lines in a C# coded Quantacula Model. The Quantacula framework includes a class called TrendLine in the QuantaculaCore library that is helpful. Here we'll be using TrendLine functionality that was added as of Q194.

Quantacula Studio Q191 includes new methods in the framework to generate and work with trendlines. The new functionality is built into the utility class PeakTroughCalculator. As its name implies, PeakTroughCalculator generates a series of peaks and troughs based on TimeSeries source data, and a specified reversal type and amount.

Hello,

New to Quantacula. I am looking for some help translating a price pattern based Easylanguage strategy to C#/Quantacula. If anyone is interesting in a paid gig please let me know.

Sometimes we can focus so much on perfecting when to get into the market we neglect to put sufficient thought into when to get out of the trade. Here we'll talk about some general strategies to exit positions, and how they can be implemented in Quantacula Models.