diff -r 0587ef444547 -r 48de09728447 progs/trade.scala
--- a/progs/trade.scala	Sat Mar 11 23:22:05 2023 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,56 +0,0 @@
-// Part 2 about Buy-Low-Sell-High using Yahoo Financial Data
-//===========================================================
-
-
-// (1) Complete the function that is given a list of floats
-// and calculuates the indices for when to buy the commodity 
-// and when to sell
-
-def trade_times(xs: List[Double]): (Int, Int) = ...
-
-
-// an example
-//val prices = List(28.0, 18.0, 20.0, 26.0, 24.0)
-//assert(trade_times(prices) == (1, 3), "the trade_times test fails")
-
-
-// (2) Complete the ``get webpage'' function that takes a
-// a stock symbol as argument and queries the Yahoo server
-// at
-//      http://ichart.yahoo.com/table.csv?s=<<insert stock symbol>>
-// 
-// This servive returns a CSV-list that needs to be separated into
-// a list of strings.
-
-def get_page(symbol: String): List[String] = ...
-
-// (3) Complete the function that processes the CSV list
-// extracting the dates and anjusted close prices. The
-// prices need to be transformed into Doubles.
-
-def process_page(symbol: String): List[(String, Double)] = ...
-
-
-// (4) Complete the query_company function that obtains the
-// processed CSV-list for a stock symbol. It should return
-// the dates for when to buy and sell the stocks of that company.
-
-def query_company(symbol: String): (String, String) =
-
-
-
-// some test cases
-
-//query_company("GOOG")
-
-// some more test cases
-/*
-val indices = List("GOOG", "AAPL", "MSFT", "IBM", "FB", "YHOO", "AMZN", "BIDU")
-
-for (name <- indices) {
-  val times = query_company(name)
-  println(s"Buy ${name} on ${times._1} and sell on ${times._2}")
-}
-*/
-
-