I'm trying to access data from the strategy() function to save this in a variable so I can use this in the script for plotting and or table data. I don't know if this is possible?
//#version=5
strategy("My strategy", overlay=true, margin_long=25, margin_short=25)
leverageLong = 100 / margin_long
leverageShort = 100 / strategy.margin_short
I tried both margin_long & strategy.margin_short. Is there a way of accessing this data?
In pinescript, the margin_long and margin_short is a fixed percentage.
You can' retrieve it once declare in the 'strategy' statement.
If you want it in a variable, that you will be able to change in the parameter panel on your charte, you can do this :
marginLong = input.float(25,"Margin Long")
marginShort = input.float(25,"Margin Short")
strategy("My strategy", overlay=true, margin_long=marginLong, margin_short=marginShort)
This way, you will be able to use it after in your code.
Related
I'm trying to download precipitation data for a list of latitude-longitude coordinates in R. I've came across this question which gets me most of the way there, but over half of the weather stations don't have precipitation data. I've pasted code below up to this point.
I'm now trying to figure out how to only get data from the closest station with precipitation data, or run a second function on the sites with missing data to get data from the second closest station. However, I haven't been able to figure out how to do this. Any suggestions or resources that might help?
`
library(rnoaa)
# load station data - takes some minutes
station_data <- ghcnd_stations() %>% filter(element == "PRCP")
# add id column for each location (necessary for next function)
sites_df$id <- 1:nrow(sites_df)
# retrieve all stations in radius (e.g. 20km) using lapply
stations <- lapply(1:nrow(sites_df),
function(i) meteo_nearby_stations(sites_df[i,],lat_colname = 'Lattitude',lon_colname = 'Longitude',radius = 20,station_data = station_data)[[1]])
# pull data for nearest stations - x$id[1] selects ID of closest station
stations_data <- lapply(stations,function(x) meteo_pull_monitors(x$id[1], date_min = "2022-05-01", date_max = "2022-05-31", var = c("prcp")))
stations_data`
# poor attempt its making me include- trying to rerun subset for second closest station. I know this isn't working but don't know how to get lapply to run for a subset of a list, or understand exactly how the function is running to code it another way
for (i in c(1,2,3,7,9,10,11,14,16,17,19,20)){
stations_data[[i]] <- lapply(stations,function(x) meteo_pull_monitors(x$id[2], date_min = "2022-05-01", date_max = "2022-05-31", var = c("prcp")))
}
How would I correctly make a recursive call within every if-statement to get the change of money? Im specifically focusing on the "change" variable.Thanks
TEST CASE 1-------------------------------------------------------------------------------
<>> [change,flag] = makeChangeRecursive(2,100)
change =
50
20
20
5
2
1
flag =
1
My code is the following
function [change,flag] = makeChangeRecursive(cost,paid)
if extra > 0
flag = true;
elseif extra == 0
change = 0;
flag = true;
return
elseif cost > paid;
flag = false;
change = [];
warning('That''s not enough to buy that item.');
return
end
if extra >= 100
change = [change; makeChangeRecursive(cost,paid - change )];
paid =paid-100;
elseif extra >= 50
change = [change; 50];
paid =paid-50;
elseif
This continues for all dollar values.
Let's take a look at your first case:
if extra >= 100
change = [change; makeChangeRecursive(cost,paid - change )];
paid =paid-100;
elseif ...
The first time we call your function, the variable change doesn't have anything in it. In fact, it will never have anything in it at the beginning of the function call because you don't pass it in as a parameter or give it a value prior to this line. So putting change on the right-hand side of the assignment will give you an error.
But that's okay, because that's not what you want to do anyway. You want to build change up from the beginning.
In addition, change is a list of values. We want to pass the recursive calls a single value, paid after updating its value.
Let's build this up step by step:
if extra >= 100
If this is true, we want subtract 100 from the amount paid (what we pass in to the recursive call) and add 100 to our list of change. Let's do the first part:
paid = paid - 100;
As I said, we want to update paid first because we're going to use this value in the recursive call, which happens next, along with adding our new change value to the list:
change = [100; makeChangeRecursive(cost, paid)];
elseif ...
And so on for the remainder of the change values. I'm sure you can take care of the rest of them now by yourself.
I also noticed that you didn't assign a value to extra. This might have been just a cut-and-paste error, but you need to make sure that you have that at the beginning of your function.
I have a bunch of daily change % data. I would like to calculate cumulative change, which should just be (1+change)*previous day in a chart in Tableau.
Seems simple enough right? I can do it in a few seconds in Excel, but I've tried for hours to get it to work in Tableau and cannot do it.
My thought was that I can create a column that is (1+daily change%), then try to do a compound product. However, I can't seem to get it to work.
I can't attach any files here so I pasted the data, along with a column that is "cum change", which is what I would like the calculation to be.
Thank you much in advance!
Date Daily Change Cum Change
4/1/2015 0.47% 1
4/2/2015 0.56% 1.0056
4/3/2015 -0.72% 0.99835968
4/6/2015 -0.56% 0.992768866
4/7/2015 -0.80% 0.984826715
4/8/2015 0.44% 0.989159952
4/9/2015 -0.66% 0.982631497
4/10/2015 0.99% 0.992359549
4/13/2015 0.92% 1.001489256
4/14/2015 0.73% 1.008800128
4/15/2015 0.95% 1.018383729
4/16/2015 0.42% 1.022660941
4/17/2015 0.52% 1.027978778
4/20/2015 0.02% 1.028184373
4/21/2015 0.56% 1.033942206
4/22/2015 0.35% 1.037561004
4/23/2015 -0.34% 1.034033296
4/24/2015 0.18% 1.035894556
4/27/2015 0.61% 1.042213513
4/28/2015 0.46% 1.047007695
4/29/2015 0.94% 1.056849568
Create a calculated field:
IF INDEX() = 1
THEN 1
ELSE
(1 + AVG([Daily Change])) * PREVIOUS_VALUE(1)
END
The condition checking to see if it's the first row of the partition (INDEX() = 1) is necessary to ensure that the first value of the field is a 1. After that, you can just use the self-referential PREVIOUS_VALUE() to get the previous value of this same calculation.
I have comp_value that gets values between 1 .. 100.
In addition I have an input variable period (of the same range). I need to cover 2 ranges of comp_values: [1..period] and [period+1 .. 100]. Something like this:
cover some_event_e is {
item period using no_collect;
item comp_val using no_collect,
ranges = {
range([1..period], "Smaller_than_period");
range([period+1..100], "Bigger_than_period");
};
};
(The code causes compilation error since no variable can be written inside range).
Is there a way to collect the coverage?
Thank you for your help.
Ranges must be constant.
But if I understood your intent correctly, you can define new items like
cover some_event_e is {
item smaller_or_equal_than_period: bool = (comp_val in [1..period]) using
ignore = (not smaller_or_equal_than_period);
item greater_than_period: bool = (comp_val in [(min(100,period+1)..100]) using
ignore = (not greater_than_period);
};
Assuming period is always in [1..100].
I have the following problem:
I have over 20 different models which I want to simulate one after another but I want to change the simulation directory each time.
Right now I'm manually changing directory after each simulation (from ./ModelOne to ./ModelTwo) and I'd like to know if there's a way to change it automatically when I initialize or translate the new model.
Regards
Nev
the best way is to write a script I think:
pathOfSave = {"E:\\work\\modelica\\SimulationResult\\Model1\\","E:\\work\\modelica\\SimulationResult\\Model2\\"};
nbSim = 2;
pathOfMod = { "MyModel.",
"MyModel.};
modelsToSimulate = { ""Model1" ,
"Model2"};
//If equdistant=true: ensure that the same number of data points is written in all result files
//store variables at events is disabled.
experimentSetupOutput(equdistant=false, events=false);
//Keep in the plot memory the last nbSim results
experimentSetupOutput(equdistant=false, events=false);
for i in 1:nbSim loop
//delete the result file if it already exists
Modelica.Utilities.Files.removeFile(pathOfSave + modelsToSimulate[i]);
//translate models
translateModel(pathOfMod[i]+modelsToSimulate[i]);
// simulate
simulateModel(
pathOfMod[i]+modelsToSimulate[i],
method="dassl",
stopTime=186350,
numberOfIntervals=nbOfPoi,
resultFile=pathOfSave + modelsToSimulate[i]);
end for;
You can also put the command cd("mynewpath") in the initial algorithm section, if you want it tobe attached to the model.
model example
Real variable;
protected
parameter String currDir = Modelica.Utilities.System.getWorkDirectory();
initial algorithm
cd("C:\\Users\\xxx\\Documents\\Dymola\\MyModelFolder");
equation
variable = time;
when terminal() then
cd(currDir);
end when;
end example;
In any case you can find all commands of dymola in the manual one under the section "builtin commands".
I hope this helps,
Marco