diff --git a/tests/test_algorithm.py b/tests/test_algorithm.py
index ed53466b..dcf5906b 100644
--- a/tests/test_algorithm.py
+++ b/tests/test_algorithm.py
@@ -258,22 +258,12 @@ class TestTransformAlgorithm(TestCase):
             sim_params=self.sim_params,
         )
         self.assertEqual(algo.sim_params.data_frequency, 'daily')
-        self.assertEqual(algo.annualizer, 250)
 
         self.sim_params.data_frequency = 'minute'
         algo = TestRegisterTransformAlgorithm(
             sim_params=self.sim_params,
         )
         self.assertEqual(algo.sim_params.data_frequency, 'minute')
-        self.assertEqual(algo.annualizer, 250 * 6 * 60)
-
-        self.sim_params.data_frequency = 'minute'
-        algo = TestRegisterTransformAlgorithm(
-            sim_params=self.sim_params,
-            annualizer=10
-        )
-        self.assertEqual(algo.sim_params.data_frequency, 'minute')
-        self.assertEqual(algo.annualizer, 10)
 
     def test_order_methods(self):
         AlgoClasses = [TestOrderAlgorithm,
diff --git a/zipline/algorithm.py b/zipline/algorithm.py
index 000a1a98..950ae099 100644
--- a/zipline/algorithm.py
+++ b/zipline/algorithm.py
@@ -44,7 +44,6 @@ from zipline.finance.controls import (
     MaxOrderSize,
     MaxPositionSize,
 )
-from zipline.finance.constants import ANNUALIZER
 from zipline.finance.execution import (
     LimitOrder,
     MarketOrder,
@@ -119,9 +118,6 @@ class TradingAlgorithm(object):
                 handle_data function definition.
             data_frequency : str (daily, hourly or minutely)
                The duration of the bars.
-            annualizer : int <optional>
-               Which constant to use for annualizing risk metrics.
-               If not provided, will extract from data_frequency.
             capital_base : float <default: 1.0e5>
                How much capital to start with.
             instant_fill : bool <default: False>
@@ -150,10 +146,6 @@ class TradingAlgorithm(object):
 
         self.instant_fill = kwargs.pop('instant_fill', False)
 
-        # Override annualizer if set
-        if 'annualizer' in kwargs:
-            self.annualizer = kwargs['annualizer']
-
         # set the capital base
         self.capital_base = kwargs.pop('capital_base', DEFAULT_CAPITAL_BASE)
 
@@ -677,7 +669,6 @@ class TradingAlgorithm(object):
     def data_frequency(self, value):
         assert value in ('daily', 'minute')
         self.sim_params.data_frequency = value
-        self.annualizer = ANNUALIZER[self.sim_params.data_frequency]
 
     @api_method
     def order_percent(self, sid, percent,