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     1 // Advanvced Part 3 about really dumb investing strategy  | 
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     2 //=======================================================  | 
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     3   | 
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     4 //two test portfolios  | 
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     5   | 
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     6 val blchip_portfolio = List("GOOG", "AAPL", "MSFT", "IBM", "FB", "YHOO", "AMZN", "BIDU") | 
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     7 val rstate_portfolio = List("PLD", "PSA", "AMT", "AIV", "AVB", "BXP", "CBG", "CCI",  | 
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     8                             "DLR", "EQIX", "EQR", "ESS", "EXR", "FRT", "GGP", "HCP")   | 
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     9   | 
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    10   | 
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    11 // (1) The function below should obtain the first trading price  | 
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    12 // for a stock symbol by using the query  | 
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    13 //  | 
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    14 //    http://ichart.yahoo.com/table.csv?s=<<symbol>>&a=0&b=1&c=<<year>>&d=1&e=1&f=<<year>>   | 
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    15 //   | 
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    16 // and extracting the first January Adjusted Close price in a year.  | 
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    17   | 
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    18 def get_first_price(symbol: String, year: Int): Option[Double] = ...  | 
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    19   | 
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    20 // Complete the function below that obtains all first prices  | 
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    21 // for the stock symbols from a portfolio for the given  | 
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    22 // range of years  | 
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    23   | 
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    24 def get_prices(portfolio: List[String], years: Range): List[List[Option[Double]]] = ...  | 
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    25   | 
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    26 // test case  | 
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    27 //val p = get_prices(List("GOOG", "AAPL"), 2010 to 2012) | 
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    28   | 
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    29   | 
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    30 // (2) The first function below calculates the change factor (delta) between  | 
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    31 // a price in year n and a price in year n+1. The second function calculates  | 
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    32 // all change factors for all prices (from a portfolio).  | 
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    33   | 
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    34 def get_delta(price_old: Option[Double], price_new: Option[Double]): Option[Double] = ...  | 
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    35   | 
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    36 def get_deltas(data: List[List[Option[Double]]]):  List[List[Option[Double]]] = ...  | 
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    37   | 
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    38 // test case using the prices calculated above  | 
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    39 //val d = get_deltas(p)  | 
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    40   | 
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    41   | 
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    42 // (3) Write a function that given change factors, a starting balance and a year  | 
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    43 // calculates the yearly yield, i.e. new balanace, according to our dump investment   | 
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    44 // strategy. Another function calculates given the same data calculates the  | 
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    45 // compound yield up to a given year. Finally a function combines all   | 
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    46 // calculations by taking a portfolio, a range of years and a start balance  | 
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    47 // as arguments.  | 
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    48   | 
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    49 def yearly_yield(data: List[List[Option[Double]]], balance: Long, year: Int): Long = ...   | 
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    50   | 
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    51 //test case  | 
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    52 //yearly_yield(d, 100, 0)  | 
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    53   | 
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    54 def compound_yield(data: List[List[Option[Double]]], balance: Long, year: Int): Long = ...   | 
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    55   | 
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    56 def investment(portfolio: List[String], years: Range, start_balance: Long): Long = ...  | 
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    57   | 
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    58   | 
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    59 //test cases for the two portfolios given above  | 
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    60 //investment(rstate_portfolio, 1978 to 2016, 100)  | 
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    61 //investment(blchip_portfolio, 1978 to 2016, 100)  | 
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    62   |