trend channels to find fibionacci reference points

--HG--
branch : sandbox

mpl/fibionacci2.py

@@ -169,28 +169,6 @@ class Lohi:
             return None
 
 
-class Acp:
-    """Always correct predictor"""
-    def __init__(self, lows, highs):
-        self.lows = lows
-        self.highs = highs
-
-    def __call__(self, tick):
-        """Always correct predictor.
-        
-        Requires previous run of DelayedAcp to determine lows and highs.
-        
-        @param tick: The value of the current tick.
-        @type tick: tuple(n, cdt, last)
-
-        @return: 1. Tick if new max min has been detected,
-            2. None otherwise.
-        """
-        n, cdt, last = tick
-        res = None
-        return res
-
-
 def find_lows_highs(xs, ys):
     dacp = DelayedAcp(10)
     for tick in zip(range(len(xs)), xs, ys):
@@ -222,13 +200,13 @@ class DelayedAcp:
         res = None
         # automatic initialisation
         if self.mm0 is None:
-            # initalise water mark
+            # initialise water mark
             self.mm0 = tick
             res = self.mm0
             self.lows = [(n, cdt, last - 1)]
             self.highs = [(n, cdt, last + 1)]
         else:
-            # initalise trend until price has changed
+            # initialise trend until price has changed
             if self.trend is None or self.trend == 0:
                 self.trend = cmp(last, self.mm0[2])
         # check for max