--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/Attic/trade.scala	Sat Mar 11 23:24:15 2023 +0000
@@ -0,0 +1,56 @@
+// 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}")
+}
+*/
+
+