diff --git a/catalyst/exchange/exchange_blotter.py b/catalyst/exchange/exchange_blotter.py
index 1250f605..d4957e31 100644
--- a/catalyst/exchange/exchange_blotter.py
+++ b/catalyst/exchange/exchange_blotter.py
@@ -209,7 +209,12 @@ class ExchangeBlotter(Blotter):
                 log.debug('found open order: {}'.format(order.id))
 
                 transactions = exchange.process_order(order)
-                if transactions and order.status == ORDER_STATUS.FILLED:
+                # This is a temporary measure, we should really update all
+                # trades, not just when the order gets filled. I just think
+                # that this is safer until we have a robust way to track
+                # the trades already processed by the algo. We can't loose
+                # them if the algo shuts down.
+                if transactions and order.open_amount == 0:
                     avg_price = np.average(
                         a=[t.price for t in transactions],
                         weights=[t.amount for t in transactions],
diff --git a/catalyst/support/binance_history.py b/catalyst/support/binance_history.py
new file mode 100644
index 00000000..899c292c
--- /dev/null
+++ b/catalyst/support/binance_history.py
@@ -0,0 +1,57 @@
+import pandas as pd
+from catalyst import run_algorithm
+
+
+def initialize(context):
+    context.i = -1  # counts the minutes
+    context.exchange = 'cryptopia'
+    context.base_currency = 'btc'
+    context.coins = context.exchanges[context.exchange].assets
+    context.coins = [c for c in context.coins if
+                     c.quote_currency == context.base_currency]
+
+
+def handle_data(context, data):
+    # current date formatted into a string
+    today = data.current_dt
+
+    # update universe everyday
+    new_day = 60 * 24  # assuming data_frequency='minute'
+    if not context.i % new_day:
+        context.coins = context.exchanges[context.exchange].assets
+        context.coins = [c for c in context.coins if
+                         c.quote_currency == context.base_currency]
+
+    # get data every 30 minutes
+    minutes = 1
+    if not context.i % minutes:
+        # we iterate for every pair in the current universe
+        for coin in context.coins:
+            pair = str(coin.symbol)
+
+            price = data.current(coin, 'price')
+            print(today, pair, price)
+
+
+def analyze(context=None, results=None):
+    pass
+
+
+if __name__ == '__main__':
+    start_date = pd.to_datetime('2018-01-17', utc=True)
+    end_date = pd.to_datetime('2018-01-18', utc=True)
+
+    performance = run_algorithm(
+        capital_base=1.0,
+        # amount of base_currency, not always in dollars unless usd
+        initialize=initialize,
+        handle_data=handle_data,
+        analyze=analyze,
+        exchange_name='cryptopia',
+        data_frequency='minute',
+        base_currency='btc',
+        live=True,
+        live_graph=False,
+        simulate_orders=True,
+        algo_namespace='simple_universe'
+    )