Some Basic Stock Analysis with Mathematica 8

September 21st, 2012 | Categories: Financial Math, mathematica, programming | Tags:

One of my favourite investment news sites is The Motley Fool which frequently run articles such as 10 Shares Trading Near 52 week lows and 15 Shares Trading Near 52 week Highs.  The idea behind such filtering is to seek out shares that have done particularly badly (or well) over the last year and then subject them to further analysis in order to find opportunities.  Thanks to Mathematica’s FinancialData command, it is rather easy to generate these lists yourself whenever you like.

15 Shares Trading Near 52 Week Highs

The original article selected the 15 largest cap shares from the FTSE All Share Index that were trading within 3% of their 52 week high at the time of publication.  Let’s see how to do that using Mathematica.

The following code returns the tickers of all shares from the FTSE All Share Index that are trading within 3% of their 52 week high.

percentage = 3;
all52weekHighs =
 Select[FinancialData["^FTAS", "Members"],
 Abs[FinancialData[#, "FractionalChangeHigh52Week"]] < (percentage/100.) &];

The variable all52weekHighs contains a list of stock tickers (e.g. LLOY.L) that meet our criteria.  The next thing to do is to find the market cap of each one:

all52WeekHighsWithCaps =
 Map[{#, FinancialData[#, "MarketCap"]} &, all52weekHighs];

This works fine for most shares. LloydsTSB for example returns {“LLOY.L”, 2.7746*10^10} at the time of writing but the MarketCap query fails for some tickers. For example, the Market Cap for HSL.L is not available and we get {“HSL.L”, Missing[“NotAvailable”]}.  Let’s discard these by insisting that we only consider stocks that have a numeric market cap.

Goodall52WeekHighsWithCaps =
  Select[all52WeekHighsWithCaps, NumberQ[#[[2]]] &];

We sort the list according to MarketCap:

sorted = Sort[Goodall52WeekHighsWithCaps, #1[[2]] > #2[[2]] &];

Let’s prettify the list a little by iterating over all tickers and replacing the ticker with the associated stock name. Also, let’s divide the market cap by 1 million to make it more readable

finallist =
 Map[{FinancialData[#[[1]], "Name"], #[[2]]/1000000} &, sorted];

Now, you may be wondering why I haven’t been showing you the output of these commands. This is simply because even this final list is rather large at 118 entries at the time of writing



The original article only considered the top 15 sorted by Market Cap so let’s show those. Market Caps are given in millions.

top15 = finallist[[1;;15]]//Grid

HSBC Holdings PLC    94159.
National Grid    24432.
Prudential PLC    21775.
Centrica PLC    17193.
Rolls Royce Group    16363.
WPP Plc    10743.
Experian PLC    10197.
Old Mutual PLC    8400.
Legal & General Group PLC    8036.
Wolseley PLC    7955.
Standard Life    6662.
J Sainsbury plc    6401.
Aggreko PLC    6391.
Land Securities Group PLC    6180.
British Land Co PLC    4859.

and we are done.

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