[R-SIG-Finance] Quantstrat - Multi-symbol (cross-section) analysis implimentation question..
frankm60606 at gmail.com
Mon Jul 31 22:10:33 CEST 2017
but unfortunately I have been struggling on that end. Show us your
1) Show us the code you have to read in three commodities.
2) Show us the code that calculates the indicator.
>From this code, I think I, or others, can point you in the right direction.
If steps 1 or 2 are not working, we can help you.
>From your BB, CC, AA example, it looks like you are trying to reorder the
symbols. Dont do that. Have an indicator
Where BB is the first commodity to trade, CC is second and AA is third.
" rule using this ranking to size my order"
I can't tell what order sizing rule you are trying to use. If you only trade
one commodity, then you need another column for the allowed size for BB in
this case, but for all commodities in case they are traded. What seems
likely is you want to trade more than one commodity up to a risk limit of
$100,000 as an example. If your size in BB is constrained to 100 contracts
which is $75,000 of risk, then you have up to $25,000 of risk to trade in
CC. If CC maxes out at 50 contracts with $20,000 of risk, then you would add
some size for AA.
From: Michael Chen [mailto:mwc4120 at hotmail.com]
Sent: Monday, July 31, 2017 8:56 AM
To: Frank <frankm60606 at gmail.com>; 'r-sig-finance'
<R-SIG-Finance at r-project.org>
Subject: Re: [R-SIG-Finance] Quantstrat - Multi-symbol (cross-section)
analysis implimentation question..
Thanks. Yes, reproducible code would be good, but unfortunately I have
been struggling on that end, but I will try to put something together. At
the mean time, please let me explain the problem conceptually again, it may
Using Quantstrat, once you load the symbols and initialize the parameters,
I would define the indicators. For example:
add.indicator(strategy.st, name = "runPercentRank",
arguments = list(x = quote(Vo(mktdata)), n=90),
label = "VolPctRnkX")
This indicator is just the running percent rank on Volume data for the past
90 days for each symbol. Then I add signals and strategy rules, simple
enough. However, as far as I can know, strategy rules (signals and
indicators) in quanstrat are applied to each symbol in the dataset
sequentially and in chronological order. Let's say, I have three futures
in my dataframe: AA, BB, and CC (as an example), the "VolPctRnkX" will be
calculated for each future: AA, BB, CC. If I examine the mktdata for each
symbol (AA, BB, or CC), each will have a column data named "VolPctRankX"
My problem is that I want to compare this indictor "VolPctRnkX" for each
symbol at each timestamp to that of other symbols. In otherwords, ranks the
sybmols according to its own "VolPctRnkX" value. So, in this example, at a
particular date: "2010-10-01, the ranking could be BB, CC, AA, based on
each's "VolPctRankX" value on that day.
Then, I can make another indicator or rule using this ranking to size my
order. For this to work, there has to be cross-section (across symbols)
comparasion at each time stamp. How do I impliment this in the Quanstrat
Is this a little clearer??
From: Frank <mailto:frankm60606 at gmail.com>
Sent: Sunday, July 30, 2017 12:53 PM
To: 'Michael Chen'; 'r-sig-finance'
Subject: RE: [R-SIG-Finance] Quantstrat - Multi-symbol (cross-section)
analysis implimentation question..
Well, reproducible code would get us all closer to making helpful
suggestions. Would you show us the code to read in two futures price streams
and make your calculation? Then we can see what the ranking problem is.
From: R-SIG-Finance [mailto:r-sig-finance-bounces at r-project.org] On Behalf
Of Michael Chen
Sent: Sunday, July 30, 2017 12:11 PM
To: r-sig-finance <mailto:R-SIG-Finance at r-project.org>
Subject: [R-SIG-Finance] Quantstrat - Multi-symbol (cross-section) analysis
I am trying to impliment a seemingly simple analysis in Quanstrat, but I am
stuck. Let's say that I have 50 futures in my data frame. Each future is a
time series of OHLC data. I want to at each time stamp, compare the value
of an indicator for each future and rank the futures accordingly. For
example, I want to rank the futures based on each's 5-day return. How do I
impliment this in Quanstrat?
So far, the only way I came up with go get around this is to pre-process
each future's data then store the ranking data for each future in its own
data set. But this is not flexible and cumbersome.
Thank your for any suggestions, obviously I don't have a reproducible code
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