diff --git a/tests/test_algorithm.py b/tests/test_algorithm.py
index efafe40d..dc9f890b 100644
--- a/tests/test_algorithm.py
+++ b/tests/test_algorithm.py
@@ -2085,6 +2085,16 @@ def order_stuff(context, data):
         cumulative_perf = \
             [r['cumulative_perf'] for r in results if 'cumulative_perf' in r]
         daily_perf = [r['daily_perf'] for r in results if 'daily_perf' in r]
+        capital_change_packets = \
+            [r['capital_change'] for r in results if 'capital_change' in r]
+
+        self.assertEqual(len(capital_change_packets), 1)
+        self.assertEqual(
+            capital_change_packets[0],
+            {'date': pd.Timestamp('2006-01-06', tz='UTC'),
+             'type': 'cash',
+             'target': 153000.0 if change_type == 'target' else None,
+             'delta': 50000.0})
 
         # 1/03: price = 10, place orders
         # 1/04: orders execute at price = 11, place orders
@@ -2235,6 +2245,17 @@ def order_stuff(context, data):
         cumulative_perf = \
             [r['cumulative_perf'] for r in results if 'cumulative_perf' in r]
         daily_perf = [r['daily_perf'] for r in results if 'daily_perf' in r]
+        capital_change_packets = \
+            [r['capital_change'] for r in results if 'capital_change' in r]
+
+        self.assertEqual(len(capital_change_packets), len(capital_changes))
+        expected = [
+            {'date': pd.Timestamp(val[0], tz='UTC'),
+             'type': 'cash',
+             'target': val[1] if change_type == 'target' else None,
+             'delta': 1000.0 if len(values) == 1 else 500.0}
+            for val in values]
+        self.assertEqual(capital_change_packets, expected)
 
         # 1/03: place orders at price = 100, execute at 101
         # 1/04: place orders at price = 490, execute at 491,
@@ -2392,6 +2413,17 @@ def order_stuff(context, data):
             [r['cumulative_perf'] for r in results if 'cumulative_perf' in r]
         minute_perf = [r['minute_perf'] for r in results if 'minute_perf' in r]
         daily_perf = [r['daily_perf'] for r in results if 'daily_perf' in r]
+        capital_change_packets = \
+            [r['capital_change'] for r in results if 'capital_change' in r]
+
+        self.assertEqual(len(capital_change_packets), len(capital_changes))
+        expected = [
+            {'date': pd.Timestamp(val[0], tz='UTC'),
+             'type': 'cash',
+             'target': val[1] if change_type == 'target' else None,
+             'delta': 1000.0 if len(values) == 1 else 500.0}
+            for val in values]
+        self.assertEqual(capital_change_packets, expected)
 
         # 1/03: place orders at price = 100, execute at 101
         # 1/04: place orders at price = 490, execute at 491,
diff --git a/zipline/algorithm.py b/zipline/algorithm.py
index 0a064703..d163e34e 100644
--- a/zipline/algorithm.py
+++ b/zipline/algorithm.py
@@ -847,14 +847,16 @@ class TradingAlgorithm(object):
         self.perf_tracker.prepare_capital_change(is_interday)
 
         if capital_change['type'] == 'target':
-            capital_change_amount = capital_change['value'] - \
+            target = capital_change['value']
+            capital_change_amount = target - \
                 self.updated_portfolio().portfolio_value
             self.portfolio_needs_update = True
 
             log.info('Processing capital change to target %s at %s. Capital '
-                     'change delta is %s' % (capital_change['value'], dt,
+                     'change delta is %s' % (target, dt,
                                              capital_change_amount))
         elif capital_change['type'] == 'delta':
+            target = None
             capital_change_amount = capital_change['value']
             log.info('Processing capital change of delta %s at %s'
                      % (capital_change_amount, dt))
@@ -867,6 +869,14 @@ class TradingAlgorithm(object):
         self.perf_tracker.process_capital_change(capital_change_amount,
                                                  is_interday)
 
+        yield {
+            'capital_change':
+                {'date': dt,
+                 'type': 'cash',
+                 'target': target,
+                 'delta': capital_change_amount}
+        }
+
     @api_method
     def get_environment(self, field='platform'):
         """Query the execution environment.
diff --git a/zipline/gens/tradesimulation.py b/zipline/gens/tradesimulation.py
index 4aa1c2fa..cd5eb320 100644
--- a/zipline/gens/tradesimulation.py
+++ b/zipline/gens/tradesimulation.py
@@ -102,7 +102,8 @@ class AlgorithmSimulator(object):
             # called every tick (minute or day).
             algo.on_dt_changed(dt_to_use)
 
-            calculate_minute_capital_changes(dt_to_use)
+            for capital_change in calculate_minute_capital_changes(dt_to_use):
+                yield capital_change
 
             self.simulation_dt = dt_to_use
 
@@ -159,8 +160,10 @@ class AlgorithmSimulator(object):
             algo.on_dt_changed(midnight_dt)
 
             # process any capital changes that came overnight
-            algo.calculate_capital_changes(
-                midnight_dt, emission_rate=emission_rate, is_interday=True)
+            for capital_change in algo.calculate_capital_changes(
+                    midnight_dt, emission_rate=emission_rate,
+                    is_interday=True):
+                yield capital_change
 
             # we want to wait until the clock rolls over to the next day
             # before cleaning up expired assets.
@@ -204,20 +207,22 @@ class AlgorithmSimulator(object):
                 def calculate_minute_capital_changes(dt):
                     # process any capital changes that came between the last
                     # and current minutes
-                    algo.calculate_capital_changes(
+                    return algo.calculate_capital_changes(
                         dt, emission_rate=emission_rate, is_interday=False)
             else:
                 def execute_order_cancellation_policy():
                     pass
 
                 def calculate_minute_capital_changes(dt):
-                    pass
+                    return []
 
             for dt, action in self.clock:
                 if action == BAR:
-                    every_bar(dt)
+                    for capital_change_packet in every_bar(dt):
+                        yield capital_change_packet
                 elif action == DAY_START:
-                    once_a_day(dt)
+                    for capital_change_packet in once_a_day(dt):
+                        yield capital_change_packet
                 elif action == DAY_END:
                     # End of the day.
                     if emission_rate == 'daily':