My other project is StockReader. That
program scans key numbers from some three hundred Swedish stocks and
makes that data accessible from a spread sheet program.
That program analyses stock data from
some web pages, extracts the interesting information and arranges it
in a comma-separated-value file that is linked to a spreadsheet,
where I can rank the stocks after some criteria.
This way, I can assign different
points/grades to stocks, depending on how they perform with regard
to, for example the price/earnings value. Companies with big losses
will get a "bad" grade, and companies with good earnings
will get a "good" grade.
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| The final result of the program: Stock data collected to a Spreadsheet |
After summing the grades for each key
number, I can easily identify the companies with high dividends, good
earnings, good net asset values, ... After having my computer doing
all the dull work, I can continue with cherry-picking the best
stocks.
Nowadays, I am advocating the efficient
market hypothesis, meaning that all public information about assets
will be reflected by the price. So stock-picking will be more of a
hobby for me with no intentions of beating the market.
I've learnt a lot when creating the
program and I want to share it with my readers in future posts.
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