|         |      1 // Advanvced Part 3 about a really dumb investment strategy | 
|         |      2 //========================================================== | 
|         |      3  | 
|         |      4 object CW6c { | 
|         |      5  | 
|         |      6  | 
|         |      7 //two test portfolios | 
|         |      8  | 
|         |      9 val blchip_portfolio = List("GOOG", "AAPL", "MSFT", "IBM", "FB", "YHOO", "AMZN", "BIDU") | 
|         |     10 val rstate_portfolio = List("PLD", "PSA", "AMT", "AIV", "AVB", "BXP", "CBG", "CCI",  | 
|         |     11                             "DLR", "EQIX", "EQR", "ESS", "EXR", "FRT", "GGP", "HCP")  | 
|         |     12  | 
|         |     13  | 
|         |     14 // (1) The function below should obtain the first trading price | 
|         |     15 // for a stock symbol by using the query | 
|         |     16 // | 
|         |     17 //    http://ichart.yahoo.com/table.csv?s=<<symbol>>&a=0&b=1&c=<<year>>&d=1&e=1&f=<<year>>  | 
|         |     18 //  | 
|         |     19 // and extracting the first January Adjusted Close price in a year. | 
|         |     20  | 
|         |     21 //def get_january_data(symbol: String, year: Int) : List[String] = ... | 
|         |     22  | 
|         |     23 //def get_first_price(symbol: String, year: Int) : Option[Double] = ... | 
|         |     24  | 
|         |     25  | 
|         |     26 // Complete the function below that obtains all first prices | 
|         |     27 // for the stock symbols from a portfolio for the given | 
|         |     28 // range of years | 
|         |     29  | 
|         |     30 //def get_prices(portfolio: List[String], years: Range): List[List[Option[Double]]] = ... | 
|         |     31  | 
|         |     32 // test case | 
|         |     33 //val p = get_prices(List("GOOG", "AAPL"), 2010 to 2012) | 
|         |     34  | 
|         |     35  | 
|         |     36 // (2) The first function below calculates the change factor (delta) between | 
|         |     37 // a price in year n and a price in year n+1. The second function calculates | 
|         |     38 // all change factors for all prices (from a portfolio). | 
|         |     39  | 
|         |     40 //def get_delta(price_old: Option[Double], price_new: Option[Double]): Option[Double] = ... | 
|         |     41  | 
|         |     42 //def get_deltas(data: List[List[Option[Double]]]):  List[List[Option[Double]]] = ... | 
|         |     43  | 
|         |     44 // test case using the prices calculated above | 
|         |     45 //val d = get_deltas(p) | 
|         |     46  | 
|         |     47  | 
|         |     48 // (3) Write a function that given change factors, a starting balance and a year | 
|         |     49 // calculates the yearly yield, i.e. new balanace, according to our dump investment  | 
|         |     50 // strategy. Another function calculates given the same data calculates the | 
|         |     51 // compound yield up to a given year. Finally a function combines all  | 
|         |     52 // calculations by taking a portfolio, a range of years and a start balance | 
|         |     53 // as arguments. | 
|         |     54  | 
|         |     55 //def yearly_yield(data: List[List[Option[Double]]], balance: Long, year: Int): Long = ...  | 
|         |     56  | 
|         |     57 //test case | 
|         |     58 //yearly_yield(d, 100, 0) | 
|         |     59  | 
|         |     60 //def compound_yield(data: List[List[Option[Double]]], balance: Long, year: Int): Long = ...  | 
|         |     61  | 
|         |     62 //def investment(portfolio: List[String], years: Range, start_balance: Long): Long = ... | 
|         |     63  | 
|         |     64 //test cases for the two portfolios given above | 
|         |     65  | 
|         |     66 //investment(rstate_portfolio, 1978 to 2016, 100) | 
|         |     67 //investment(blchip_portfolio, 1978 to 2016, 100) | 
|         |     68  | 
|         |     69 } |