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This Shiny application is designed to help analysing trading strategies. It is an ongoing project that I improve when time allows. Feel free to get in touch should you have any suggestion. | |
*How to use the App as it is? | |
The App uses as input several csv files (one for each strategy). Each file has two columns: date and daily return. There is an example of such a file in the Github repository. The code is essentially made of 3 files. | |
-ui.R: controls the layout and appearance of the app | |
-server.R: contains the instructions needed to build the app. You can load as much strategies as you want as long as the corresponding csv file has the right format (see below). | |
-shinyStrategyGeneral.R: loads the required packages and launches the app | |
put ui.R and server.R file in a separate directory | |
In the server.R file change the inputPath, inputFile and keepColumns parameters to match your setting. The first two are self explanatory the third one is a list of column names within the csv file. Keep only date and daily return |
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def write_backtrace name, backtrace, filename | |
exceptions = Regexp.union([ | |
/\.bundle/, | |
/spec/, | |
/test/, | |
/lib\/ruby\/1.9.1/ | |
]) | |
backtrace.reject! { |line| line =~ exceptions } |
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class Form | |
include ActiveModel::Validations | |
extend ActiveModel::Naming | |
def self.wraps(model) | |
@wraps = model | |
end | |
def self.model_name | |
ActiveModel::Name.new(@wraps.to_s.classify.constantize) |
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--colour | |
-I app |